A1 Factors associated with treatment response in chronic nonbacterial osteomyelitis
Katherine Nowicki1, Nathan Rogers2, Carson Keeter3, Nathan Donaldson1, Jennifer Soep1, Yongdong Zhao4
1University of Colorado, Children’s Hospital Colorado; 2Children’s Hospital Colorado; 3University of Colorado; 4Seattle Children’s Hospital
Correspondence: Katherine Nowicki
NSAID-short (n=32) | NSAID-long (n=62) | Second-line (n=70) |
P value
| Overall (n=164) | |
---|---|---|---|---|---|
Mean age at symptom onset, years (± SD)
| 8.46 (± 4.41) | 8.94 (±3.05) | 8.99 (±3.36) | 0.757 | 8.87 (±3.46) |
Mean interval from symptom onset to treatment onset, days (± SD)
| 124 (±210) | 269 (±333) | 293 (±388) |
0.0588
| 251 (±343) |
Mean interval from symptom onset to diagnosis, days (± SD)
| 119 (±211) | 270 (±327) | 324 (±403) |
0.0226
| 263 (±351) |
Mean follow-up, years (± SD)
| 1.21 (±1.51) | 2.70 (±2.07) | 3.83 (±2.34) |
<0.001
| 2.89 (±2.30) |
Female sex, n (%)
| 17 (53%) | 37 (60%) | 42 (60%) | 0.775 | 96 (59%) |
Race and ethnicity, n (%)
| 0.714 | ||||
Asian | 1 (3%) | 0 (0%) | 1 (1%) | 2 (1%) | |
Black | 1 (3%) | 1 (2%) | 1 (1%) | 3 (2%) | |
Multiracial | 0 (0%) | 2 (3%) | 3 (4%) | 5 (3%) | |
Native American | 0 (0%) | 0 (0%) | 1 (3%) | 1 (1%) | |
White | 29 (91%) | 56 (90%) | 59 (84%) | 144 (88%) | |
Other | 0 (0%) | 1 (2%) | 4 (6%) | 5 (3%) | |
Unknown | 0 (0%) | 1 (2%) | 0 (0%) | 1 (1%) | |
Missing | 1 (3%) | 1 (2%) | 1 (1%) | 3 (2%) | |
Ethnicity, n (%)
| 0.0835 | ||||
Hispanic | 0 (0%) | 6 (10%) | 11 (16%) | 17 (10%) | |
Non-Hispanic | 31 (97%) | 54 (87%) | 58 (83%) | 143 (87%) | |
Unknown | 0 (0%) | 1 (2%) | 0 (0%) | 1 (1%) | |
Missing | 1 (3 %) | 1 (2%) | 1 (1%) | 3 (2 %) | |
Family history, n (%)
| |||||
Inflammatory arthritis | 0 (0%) | 3 (5%) | 5 (7%) | 0.274 | 8 (5%) |
Inflammatory Bowel Disease | 0 (0%) | 0 (0%) | 2 (3%) | 0.361 | 2 (1%) |
Psoriasis | 0 (0%) | 1 (2%) | 1 (1%) | 1 | 2 (1%) |
Mean ESR at presentation, mm/hr (± SD)
| 19.7 (±18.5) | 19.6 (±19.6) | 27.6 (±25.3) | 0.093 | 22.8 (±20.5) |
Missing ESR, n (%) | 3 (9.4%) | 13 (21%) | 17 (24%) | 33 (20%) | |
Mean CRP at presentation, mg/dL (± SD)
| 1.57 (±2.96) | 0.950 (±2.14) | 2.69 (±4.88) | 0.0601 | 1.83 (±3.75) |
Missing CRP, n (%) | 3 (9.4%) | 16 (25.8%) | 15 (21.4%) | 34 (20.7%) | |
Biopsy performed, n (%)
| 22 (69%) | 46 (74%) | 66 (94%) |
0.0025
| 134 (82%) |
CNO lesion apparent on plain radiographs at presentation, n (%)
| 19 (59%) | 36 (58%) | 31 (44%) | 0.229 | 86 (52%) |
Missing, n (%) | 1 (3 %) | 0 (0%) | 2 (3%) | 3 (2%) | |
Unifocal disease suspected at diagnosis, n (%)
| 23 (72%) | 29 (47%) | 29 (41%) |
0.015
| 81 (49%) |
Total number of whole-body MRIs, n (%)
|
<0.001
| ||||
0 | 28 (88%) | 51 (82%) | 29 (41%) | 106 (66%) | |
1 | 4 (12%) | 8 (13%) | 16 (23%) | 28 (17%) | |
2 | 0 (0%) | 3 (5%) | 8 (11%) | 11 (7% | |
≥3 | 0 (0%) | 0 (0%) | 17 (24%) | 17 (10%) | |
Patients with affected regions, n (%)
| |||||
Head & face | 0 (0%) | 0 (0%) | 3 (4%) | 0.233 | 3 (2%) |
Upper torso | 3 (9%) | 8 (13%) | 9 (13%) | 0.902 | 20 (12%) |
Upper extremity | 4 (12%) | 11 (18%) | 22 (31%) |
0.046
| 37 (23%) |
Neck and back | 2 (6%) | 9 (15%) | 18 (26%) |
0.046
| 29 (18%) |
Lower torso | 7 (22%) | 19 (31%) | 33 (47%) |
0.029
| 59 (36%) |
Lower extremity | 23 (72%) | 34 (55%) | 59 (84%) |
<0.001
| 116 (71%) |
Mean number out of 6 regions affected (± SD)
| 1.22 (± 0.608) | 1.31 (± 0.561) | 2.06 (± 1.03) |
<0.001
| 1.61 (± 0.890) |
Symmetric involvement in the same bone, n (%)
| 5 (16%) | 14 (23%) | 51 (73%) |
<0.001
| 70 (43%) |
Mean days on NSAID monotherapy, days (± SD)
| 175 (± 26.5) | 725 (±512) | 441 (±536) |
<0.001
| 497 (±511) |
Number of NSAIDs Trialed, n (%)
|
<0.001
| ||||
0 | 0 (0%) | 0 (0%) | 2 (3%) | 2 (1%) | |
1 | 30 (94%) | 28 (45%) | 17 (24%) | 75 (46%) | |
2 | 2 (6%) | 32 (52%) | 45 (64%) | 79 (48%) | |
3 or more | 0 (0%) | 3 (3%) | 6 (9%) | 8 (5%) | |
Patients with complications, n (%)
| |||||
Vertebral height loss | 0 (0%) | 8 (13%) | 14 (20%) |
0.0215
| 22 (13%) |
Amplified pain | 0 (0%) | 3 (5%) | 10 (14%) |
0.02
| 13 (8%) |
Patients in each disease activity state at study end date, n (%)
| |||||
Active disease | 0 (0%) | 7 (11%) | 14 (20%) |
0.024
| 21 (13%) |
Inactive disease on treatment | 2 (6%) | 11 (18%) | 20 (29%) |
0.0285
| 33 (20%) |
Remission | 30 (94%) | 44 (71%) | 36 (51%) |
<0.001
| 110 (67%) |
Study Variable | Coefficient |
P-value
|
---|---|---|
Unifocal disease at diagnosis
|
-0.386
|
0.029
|
Number of regions affected | -0.225 | 0.141 |
Onset to treatment interval | 0.000 | 0.162 |
Study Variable | OR |
P-value
|
---|---|---|
Presence of symmetric bone lesions
|
6.862
|
<0.001
|
Number of regions affected
|
1.941
|
0.012
|
Positive family history | 3.770 | 0.113 |
Days from symptom onset to treatment | 1.000 | 0.116 |
A2 Predicting extension in juvenile idiopathic arthritis
Megan Simonds1, Kathleen Sullivan2, AnneMarie Brescia1
1Nemours Children’s Health, Wilmington, DE, USA; 2Children’s Hospital of Philadelphia, Philadelphia, PA, USA
Correspondence: Megan Simonds
A. | B. | ||||||||
---|---|---|---|---|---|---|---|---|---|
FLS | CH | SMC | FLS | CH | SMC | ||||
CD55
| +++ | ++ | ++ |
CD55
| + | + | ++ | ||
CD271
| Negative | Negative | Negative |
CD271
| Negative | Negative | Negative | ||
CD309
| Negative | Negative | +++ |
CD309
| + | Negative | + | ||
CD146
| Negative | + | ++ |
CD146
| + | + | + | ||
CD45
| Negative | Negative | Negative |
CD45
| Negative | Negative | Negative | ||
CD166
| +++ | +++ | +++ |
CD166
| +++ | +++ | +++ | ||
CD44
| +++ | + | +++ |
CD44
| +++ | +++ | +++ | ||
CD105
| +++ | + | ++ |
CD105
| ++ | ++ | +++ | ||
CD31
| Negative | Negative | +++ |
CD31
| Negative | Negative | Negative | ||
CD90
| +++ | +++ | + |
CD90
| +++ | +++ | ++ |
A3 Tubulointerstitial inflammation is associated with end-stage renal disease in pediatric lupus nephritis, single center retrospective cohort study
Ryan Mitacek, Qiong Liu, Anthony Chang, Shireen Hashmat, Linda Wagner-Weiner
University of Chicago, Chicago, IL, USA
Correspondence: Ryan Mitacek
n | Total | ESRD | ||
---|---|---|---|---|
No | Yes |
p-value
| ||
57 | 44 | 13 | ||
Demographic data
| ||||
Age at SLE diagnosis, years (mean [SD]) | 12.86 (2.56) | 12.60 (2.70) | 13.67 (1.90) | 0.201 |
Female (%) | 45 (78.9) | 36 (81.8) | 9 (69.2) | 0.555 |
Hispanic (%) | 15 (26.3) | 13 (29.5) | 2 (15.4) | 0.122 |
Race (%) | 0.348 | |||
African American | 39 (68.4) | 28 (63.6) | 11 (84.6) | |
Multiracial | 11 (19.3) | 10(22.7) | 1 (7.7) | |
Caucasian | 7 (12.3) | 6 (13.6) | 1 (7.7) | |
Index Biopsy Data
| ||||
Age at biopsy, years (mean [SD]) | 57 | 13.90 (3.13) | 15.32 (3.28) | 0.185 |
ISN Class | 57 | |||
I | 2 (3.4) | 0 (0) | 0.434 | |
II | 10 (17.5) | 1 (4.3) | 0.179 | |
III | 9 (19.1) | 3 (13.6) | 0.839 | |
IV | 9 (23.7) | 8 (42.1) |
0.004
| |
V | 14 (48.3) | 1 (9.1) | 0.072 | |
TI Inflammation | 57 | 15 (100) | 10 (100) |
0.006
|
NIH Activity Index (mean [SD]) | 57 | 3.23 (4.21) | 9.08 (5.65) |
<0.001
|
NIH Chronicity Index (mean [SD]) | 57 | 0.4 (0.9) | 2.5 (3.4) |
0.008
|
Baseline data
| ||||
CKD Stage |
<0.001
| |||
Stage 1 | 45 | 26 (72.2) | 2 (22.2) | |
Stage 2 | 8 (22.2) | 0 (0) | ||
Stage 3a | 1 (2.8) | 4 (26.7) | ||
Stage 3b | 1 (2.8) | 1 (8.3) | ||
Stage 4 | 0 (0) | |||
Stage 5 | 0 (0) | 2 (14.3) | ||
Weight Categorya | 48 | 9 | ||
Underweight | 2 (5.1) | 0 (0) | 0.83 | |
Healthy weight | 21 (53.8) | 6 (66.7) | ||
Overweight | 9 (23.1) | 2 (22.2) | ||
Obese | 7 (17.9) | 1 (11.1) | ||
Hypertension category | 51 | |||
Normal blood pressure | 51 | 18 (46.2) | 3 (37.5) |
0.029
|
Elevated | 4 (10.3) | 2 (25) | ||
Hypertension stage I | 12 (30.8) | 1 (12.5) | ||
Hypertension stage II | 5 (12.8) | 2 (25) | ||
SLEDAI (mean [SD]) | 6.1 (9.4) | 14.4 (8.8) | 22.0 (9.1) | 0.096 |
BUN (mean [SD]) | 47 | 15.4 (8.2) | 34.9 (28.0) |
0.013
|
Creatinine (mean [SD]) | 50 | 0.665 (0.273) | 2.458 (2.915) |
0.003
|
eGFR (mean [SD]) | 43 | 112.0 (37.3) | 60.6 (48.5) |
0.005
|
A4 Clinical outcomes in down syndrome-associated arthritis compared to juvenile idiopathic arthritis
Irene Chern1, Jordan Jones2
1St. Christopher’s Hospital for Children, Philadelphia, PA, USA; 2Children’s Mercy Kansas City
Correspondence: Irene Chern
First Visit | Second Visit | Most Recent Visit | ||||
---|---|---|---|---|---|---|
JIA (n = 100) | DA (n= 20) | JIA (n = 100) | DA (n= 20) | JIA (n = 100) | DA (n= 20) | |
Arthritis Subtype | ||||||
Enthesitis Related | 5 (5.0%) | 1 (5.0%) | 5 (5.0%) | 1 (5.0%) | 4 (4.0%) | 1 (5.0%) |
Oligoarticular | 20 (20%) | 4 (20%) | 19 (19%) | 5 (25%) | 20 (20%) | 3 (15%) |
Polyarticular | 70 (70%) | 14 (70%) | 70 (70%) | 13 (65%) | 63 (63%) | 12 (60%) |
Systemic | 5 (5.0%) | 1 (5.0%) | 5 (5.0%) | 1 (5.0%) | 0 (0%) | 1 (5.0%) |
Undifferentiated | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 5 (5.0%) | 1 (5.0%) |
Comorbidity | ||||||
Celiac disease | 0 | 1 (5%) | 0 | 1 (5%) | 0 | 2 (10%) |
Heart disease | 0 | 0 | 0 | 0 | 0 | 1 (5%) |
Thyroid disorder | 0 | 2 (10%) | 0 | 1 (5%) | 0 | 1 (5%) |
Liver disease | 0 | 1 (5%) | 0 | 0 | 0 | 0 |
Uveitis active | 4 (4%) | 0 | 1 (1%) | 0 | 3 (3%) | 0 |
First Visit | Second Visit | Most Recent Visit | ||||
---|---|---|---|---|---|---|
JIA (n = 100) | DA (n= 20) | JIA (n = 100) | DA (n= 20) | JIA (n = 100) | DA (n= 20) | |
Pain Ratinga | 2.0(2.3) | 2.1(2.9) | 2.2(2.3) | 1.6(2.6) | 2.8(2.6) | 1.2(1.8) |
Number of Joints Affectedb | 1.6(2.8) | 2.0(3.3) | 1.2(2.4) | 1.2(1.8) | 0.9(1.9) | 0.3(0.6) |
Physician Global Assessmentc | 1.3(1.6) | 1.2(1.8) | 1.0(1.5) | 0.9(1.5) | 0.9(1.3) | 0.4(0.9) |
Patient Global Assessmentd | 2.3(2.2) | 2.3(2.5) | 2.2(2.3) | 2.2(3.2) | 2.1(2.1) | 1.1(2.1) |
cJADAS Scoree | 5.1(5.2) | 5.4(6.9) | 4.5(4.9) | 4.3(5.5) | 3.9(4.2) | 1.8(2.5) |
Medication Class | JIA (N=100) | DA (N=20) |
---|---|---|
BDMARDa | 40 (40%) | 8 (40%) |
BDMARDa+CSDMARDb | 30 (30%) | 6 (30%) |
BDMARDa+CSDMARDb+SMDARDc | 5 (5.0%) | 1 (5.0%) |
CSDMARDb | 25 (25%) | 5 (25%) |
A5 Perceptions and attitudes about physical activity in juvenile idiopathic arthritis
Ana Leos-Leija1, Fernando Garcia-Rodriguez1, Ingris Pelaez-Ballestas2, Gabriela Burgos3, Adalberto Loyola-Sanchez4, Ana Villarreal-Treviño1, Nadina Rubio-Perez1
1Hospital Universitario “Dr. Jose Eleuterio Gonzalez”, Monterrey, Nuevo Leon, Mexico; 2Hospital General de Mexico “Dr. Eduardo Liceaga”, Ciudad de Mexico, Mexico; 3Alberta Health Services, Alberta, Canada; 4University of Alberta, Alberta, Canada
Correspondence: Ana Leos-Leija
A6 Unveiling clinical predictors of methotrexate discontinuation in juvenile idiopathic arthritis
Ivana Stojkic, Edward Oberle, Kelly Wise, Stacy Ardoin, Alysha Taxter
Nationwide Children’s Hospital, Columbus, OH, USA
Correspondence: Ivana Stojkic
Hazard Ratio (95%CI) |
p-value
| |
---|---|---|
Male sex | 1.06 (0.87, 1.30) | 0.55 |
Symptom duration more than 6 months | 1.15 (0.96, 1.13) | 0.13 |
Disease durationa | 0.99 (0.99, 0.99) | <0.01 |
ANA positive | 0.80 (0.65, 0.98) | 0.03 |
NSAID therapya | 0.98 (0.75, 1.27) | 0.85 |
Receipt of joint injectiona | 1.06 (0.56, 1.99) | 0.85 |
Morning stiffnessa | 1.66 (1.24, 2.23) | <0.01 |
CHAQa | 1.87 (1.39, 2.50) | <0.01 |
Paina | 1.08 (1.03, 1.14) | <0.01 |
Patient global assessmenta | 1.11 (1.06, 1.17) | <0.01 |
Physician global assessmenta | 1.36 (1.25, 1.48) | <0.01 |
Active joint counta | 1.09 (1.07, 1.11) | <0.01 |
JADASa | 1.09 (1.07, 1.12) | <0.01 |
Baseline CHAQ | 1.56 (1.10, 2.21) | 0.01 |
Baseline patient global | 1.14 (1.06, 1.24) | <0.01 |
Baseline pain | 1.09 (1.02, 1.17) | 0.02 |
Baseline morning stiffness | 1.66 (1.03, 2.66) | 0.04 |
Baseline provider global | 1.38 (1.20, 1.58) | <0.01 |
Baseline active joint count | 1.06 (1.03, 1.09) | <0.01 |
Uveitisa | 1.46 (0.85, 2.15) | 0.16 |
JIA category | ||
Oligoarticular | Reference | NA |
RF negative polyarticular | 1.41 (1.11, 1.11) | <0.01 |
RF positive polyarticular | 2.30 (1.16, 3.41) | <0.01 |
Enthesitis-related | 1.74 (1.32, 2.32) | <0.01 |
Psoriatic | 1.56 (1.17, 2.07) | <0.01 |
Undifferentiated | 1.16 (0.61, 2.21) | 0.65 |
Systemic | 1.30 (0.57, 2.96) | 0.53 |
Hazard Ratio (95% CI) |
p-value
| |
---|---|---|
Symptom duration >6 months | 0.74 (0.46, 1.21) | 0.24 |
Disease duration | 0 .99 (0.99,1.00) | 0.12 |
ANA positive | 0.79 (0.47, 1.34) | 0.38 |
Morning stiffness | 1.17 (0.68, 1.99) | 0.57 |
CHAQ | 1.52 (0.94, 2.44) | 0.09 |
Pain | 0.92 (0.80, 1.06) | 0.26 |
Patient global | 0.65 (0.25, 1.72) | 0.39 |
Physician global | 0.87 (0.31, 2.42) | 0.79 |
Active joint count | 0.77 (0.31, 1.93) | 0.58 |
JADAS | 1.56 (0.60, 4.03) | 0.36 |
Uveitis | 1.54 (0.44, 5.44) | 0.50 |
JIA Category | ||
Oligoarticular | Reference | NA |
RF negative polyarticular | 0.97 (0.54, 1.80) | 0.96 |
RF positive polyarticular | 0.89 (0.29, 2.74) | 0.84 |
Enthesitis-related | 1.56 (0.76, 3.23) | 0.23 |
Psoriatic | 1.41 (0.66, 3.01) | 0.38 |
Systemic | 1.10 (0.30, 4.03) | 0.88 |
Undifferentiated | 1.78 (0.23, 13.52) | 0.58 |
A7 A Delphi study identifying essential areas of knowledge in pediatric rheumatology for the graduating pediatric resident
Julia Shalen1, Emma Austenfeld2, McKenzie Vater3, Miriah Gillispie-Taylor4, For The CARRA Medical Education Working Group5
1Johns Hopkins University, Baltimore, Maryland, USA; 2Medical College of Wisconsin, Milwaukee, WI, USA; 3Vanderbilt University, Nashville, TN, USA; 4Baylor University, Texas Children’s Hospital, Houston, TX, USA; 5Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Julia Shalen
A8 Temporomandibular joint involvement in pediatric patients with juvenile idiopathic arthritis: a single center retrospective study
Paola Sparagana, Lynnette Walters, Heather Benham, Tracey Wright, Elizabeth Sloan, Julie Fuller
Texas Scottish Rite Hospital, Dallas, TX USA
Correspondence: Paola Sparagana
Total Cohort (n = 54) | Systemic (n=2) | Oligoarticular (n=19) | Polyarticular (n=23) | Psoriatic (n=6) | Unclassified (n=4) | |
---|---|---|---|---|---|---|
Gender n(%)
| ||||||
Male | 7 (13) | 0 (0) | 1 (5) | 4 (18) | 2 (33) | 0 (0) |
Female | 47 (87) | 2 (100) | 18 (95) | 19 (82) | 4 (67) | 4 (100) |
Race n(%)
| ||||||
African American or Black | 1 (2) | 0 (0) | 1 (5) | 0 (0) | 0 (0) | 0 (0) |
Asian | 3 (5) | 0 (0) | 1 (5) | 0 (0) | 1 (17) | 1 (25) |
White | 48 (89) | 2 (100) | 17 (90) | 21 (91) | 5 (83) | 3 (75) |
Other | 2 (4) | 0 (0) | 0 (0) | 2 (9) | 0 (0) | 0 (0) |
Ethnicity n(%)
| ||||||
Hispanic or Latino | 11 (20) | 1 (50) | 3 (16) | 5 (22) | 1 (17) | 1 (25) |
Non-Hispanic or Latino | 43 (80) | 1 (50) | 16 (84) | 18 (78) | 5 (83) | 3 (75) |
Age in years (mean ± SD)
| ||||||
At JIA diagnosis | 7 ± 5.2 | 8 ± 7.1 | 5.8 ± 4.4 | 7.6 ± 5.4 | 4.2 ± 5.0 | 13.8 ± 1.3 |
At TMJ diagnosis | 11.9 ± 3.8 | 14.5 ± 2.1 | 11.1 ± 3.3 | 12.0 ± 4.4 | 11 ± 3.1 | 15.3 ± 1.9 |
ANA n(%)
| ||||||
Positive | 35 (65) | 0 (0) | 14 (74) | 15 (65) | 3 (50) | 3 (75) |
Negative | 17 (32) | 1 (50) | 5 (26) | 7 (31) | 3 (50) | 1 (25) |
Unknown | 2 (4) | 1 (50) | 0 (0) | 1 (4) | 0 (0) | 0 (0) |
Rheumatoid Factor n(%)
| ||||||
Positive | 3 (6) | 0 (0) | 0 (0) | 2 (9) | 0 (0) | 1 (25) |
Negative | 45 (83) | 1 (50) | 15 (79) | 21 (91) | 5 (83) | 3 (75) |
Unknown | 6 (11) | 1 (50) | 4 (21) | 0 (0) | 1 (17) | 0 (0) |
CCP n(%)
| ||||||
Positive | 3 (6) | 0 (0) | 0 (0) | 3 (14) | 0 (0) | 0 (0) |
Negative | 28 (52) | 0 (0) | 11 (58) | 10 (43) | 3 (50) | 4 (100) |
Unknown | 23 (43) | 2 (100) | 8 (42) | 10 (43) | 3 (50) | 0 (0) |
HLA-B27 n(%)
| ||||||
Positive | 5 (9) | 0 (0) | 2 (11) | 1 (4) | 1 (17) | 1 (25) |
Negative | 33 (61) | 0 (0) | 10 (53) | 15 (65) | 5 (83) | 3 (75) |
Unknown | 16 (30) | 2 (100) | 7 (37) | 7 (30 | 0 (0) | 0 (0) |
TMJ Laterality n(%)
| ||||||
Right | 8 (15) | 1 (50) | 5 (26) | 2 (9) | 0 (0) | 0 (0) |
Left | 3 (6) | 0 (0) | 1 (5) | 1 (4) | 1 (17) | 0 (0) |
Bilateral | 43 (80) | 1 (50) | 13 (69) | 20 (87) | 5 (83) | 4 (100) |
Positive MRI Findings n(%)
| ||||||
Active Arthritisa | 45 (83) | 2 (100) | 17 (89) | 18 (78) | 5 (83) | 3 (75) |
Chronic Arthritisb | 48 (89) | 2 (100) | 17 (89) | 21 (91) | 4 (67) | 4 (100) |
Erosions | 39 (72) | 1 (50) | 15 (79) | 16 (69) | 5 (83) | 2 (50) |
Positive Clinical Findings n(%)
| ||||||
Reduced MMOc | 23 (43) | 0 (0) | 5 (26) | 13 (57) | 2 (33) | 3 (75) |
Mandibular Growth Disturbancesd | 20 (38) | 0 (0) | 7 (37) | 9 (39) | 2 (33) | 2 (50) |
Asymmetrical Mouth Opening | 29 (54) | 1 (50) | 15 (79) | 8 (35) | 3 (50) | 2 (50) |
A9 Real-world treatment patterns and outcomes in patients with rheumatologic disease–associated hemophagocytic lymphohistiocytosis treated with emapalumab in the United States
Carl Allen1, Edward Behrens2, Shanmuganathan Chandrakasan3, Michael Jordan4, Jennifer Leiding5, Abiola Oladapo6, Priti Pednekar7, Mona Riskalla8, Kelly Walkovich9, John Yee6
1Division of Pediatric Hematology and Oncology, Baylor College of Medicine, Houston, Texas, USA; 2Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA; 3Division of Bone and Marrow Transplant Research, Aflac Cancer and Blood Disorders Center, Children’s Healthcare of Atlanta, Emory University, Atlanta, Georgia, USA; 4Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; 5Division of Allergy and Immunology, Department of Pediatrics, Johns Hopkins University, Baltimore, Maryland, USA; Bluebird Bio, Cambridge, Massachusetts, USA; 6Sobi, Inc. Waltham, Massachusetts, USA; 7PRECISIONheor, Bethesda, Maryland, USA; 8University of Minnesota Medical Center, Minneapolis, Minnesota, USA; 9Division of Pediatric Hematology Oncology, Department of Pediatrics, University of Michigan Medical School, Ann Arbor, Michigan, USA
Correspondence: Edward Behrens
Parameter | Patients with rheumatologic disease–associated HLH (N = 15) | |
---|---|---|
All patients (N = 15) | Still’s diseaseb (N = 10)c | |
Age at HLH diagnosis, median (range), years | 5.0 (0.9–39) | 2.5 (1.0–22.0)d |
Female, n/N (%) | 11/15 (73.3) | 8/10 (80.0) |
Race (White), n/N (%) | 7/15 (46.7) | 6/10 (60.0) |
Infection at diagnosis, n/N (%) | 5/15 (33.3) | 3/10 (30.0) |
Virus | 4/5 (80.0) | 3/3 (100.0) |
Bacteria | 1/5 (20.) | 0/10 (0.0) |
Fungi | 0/15 (0.0) | 0/10 (0.0) |
CNS involvement at diagnosis, n/N (%) | 1/15 (6.7) | 0/10 (0.0) |
Age at initiation of emapalumab, median (range), years | 5.0 (0.9–39) | 2.5 (1.0–22.0) |
Initiated emapalumab in an ICU, n/N (%) | 9/15 (60.0) | 6/10 (60.0) |
Received supportive care at initiation of emapalumab, n/N (%) | 7/15 (46.7) | 6/10 (60.0) |
Ventilator | 3/7 (42.9) | 3/6 (50.0) |
Dialysis | 1/7 (14.3) | 1/6 (16.7) |
Pressors | 0/7 (0.0) | 0/6 (0.0) |
Extracorporeal membrane oxygenation | 0/7 (0.0) | 0/6 (0.0) |
Othere | 4/7 (57.1) | 3/6 (50.0) |
Parameter | Patients with rheumatologic disease–associated HLH (N = 15) | |||
---|---|---|---|---|
All patients (N = 15) | Patients with Still’s disease (N = 10)c | |||
Proportion of patients, n/N (%)a,b | Median (range) time to normalization, daysa | Proportion of patients, n/N (%)a,b | Median (range) time to normalization, daysa | |
Absolute neutrophil count | 13/14 (92.9) | 7.0 (1.0–40.0) | 9/10 (90.0) | 7.0 (3.0–40).0) |
Absolute lymphocyte count | 13/14 (92.9) | 7.5 (1.0–28.0) | 9/10 (90.0) | 7.0 (3.0–28.0) |
CXCL9 | 9/11 (81.8) | 32.0 (5.0–129.0) | 6/8 (75.0) | 32.0 (5.0–39.0) |
Alanine transaminase | 11/14 (78.6) | 14.0 (4.0–108.0) | 8/10 (80.0) | 14.0 (4.0–108.0) |
Platelet count | 11/14 (78.6) | 14.0 (1.0–34.0) | 8/10 (80.0) | 10.5 (1.0–26.0) |
Fibrinogen | 9/13 (69.2) | 14.0 (1.0–26.0) | 6/10 (60.0) | 15.5 (1.0–26.0) |
sCD25 | 6/9 (66.7) | 30.5 (3.0–153.0) | 4/6 (66.7) | 51 (29.0–153.0) |
Ferritin | 6/14 (42.9) | 38.5 (15.0–106.0) | 5/10 (50.0) | 46.0 (15.0–106.0) |
A10 Patient and family perceptions of real time access to electronic health information: a social media survey
Caitlan Pinotti1, Rajdeep Pooni2, Vincent Del Gaizo3, Melanie Kohlheim3, Emily Schildt4, Alysha Taxter5, Tova Ronis6, for the CARRA Clinical Informatics Workgroup3
1Duke University, Durham, NC USA; 2Stanford Children’s Health, Stanford University School of Medicine; 3Childhood Arthritis and Rheumatology Research Alliance (CARRA); 4Seattle Children’s Hospital, Seattle, WA, USA; 5Nationwide Children’s Hospital, Columbus, OH, USA; 6Children’s National Hospital, George Washington University
Correspondence: Caitlan Pinotti
Count (%) | |
---|---|
Respondent | |
Patient | 12 (5) |
Parent/Guardian | 241 (95) |
Patient age 12 years+ | 117 (46) |
Primary language | |
English | 252 (99.6) |
Spanish | 1 (0.4) |
Race | |
Asian | 3 (1.2) |
Black, African American, African, or Afro-Caribbean | 2 (0.8) |
Hispanic, Latino, or Spanish Origin | 6 (2) |
Native American, American Indian, or Alaskan Native | 1 (0.4) |
White | 204 (81) |
Mixed race | 33 (13) |
Prefer not to answer | 4 (1.6) |
Diagnosis | |
Juvenile idiopathic arthritis (JIA), including those with hypermobility or amplified musculoskeletal pain | 94 (37) |
Systemic connective tissue diseasea | 159 (63) |
Years since diagnosis, median [IQR] | 4 [2,8] |
Question | Years Since Diagnosis ≤ 5 (n = 153) | Years Since Diagnosis > 5 (n=83) |
p-value
|
---|---|---|---|
I like having electronic access to my child’s results as soon as they are available, before discussing with my child’s healthcare provider | 4.80 (0.54) | 4.81 (0.65) | 0.90 |
I would prefer that my child’s results only get released after my child’s healthcare provider has discussed them with me. | 1.59 (1.03) | 1.89 (1.15) | 0.04* |
I have felt worried about how to understand my child’s test results when accessing them electronically. | 2.62 (1.37) | 2.39 (1.26) | 0.21 |
A11 FACE-Q outcomes in craniofacial scleroderma: a pilot study on the functional and psychosocial impact of disease in children and young adults
Tyler Nguyen1, Alex Cappitelli1, Laura Nuzzi1, Lisa Nussbaum1, Katharina Shaw2, Olivia Langa1, Fatma Dedeoglu1, Ruth Ann Vleugels3, Ingrid Ganske1
1Boston Children’s Hospital, Boston, MA USA; 2Children’s Hospital of Philadelphia, Philadelphia, PA USA; 3Brigham and Women’s Hospital, Boston, MA USA
Correspondence: Ingrid Ganske
A12 Type I interferon signatures can be accurately measured by serum LAMP3 expression in juvenile-onset SLE and are associated with cardiovascular risk
Junjie Peng, Saara Atif, Elizabeth Jury, Coziana Ciurtin, George Robinson
University College London
Correspondence: George Robinson
A13 Development and usability testing of web-based standardized scoring tool for magnetic resonance images from children with chronic nonbacterial osteomyelitis (CNO)
Farzana Nuruzzaman1, T. Shawn Sato2, Andrew Carbert3, Joel Paschke3, Lauren Potts4, Meinrad Beer5, Mingqian Huang6, Ramesh Iyer7, Johanna Monsalve8, Anh-Vo Ngo7, Jennifer Stimec9, Mahesh Thapa7, Xiaoyue Zhang10, Walter P. Maksymowych3, Polly Ferguson2, Yongdong Zhao11 for the CARRA CRMO/CNO Workgroup12
1Stony Brook Children’s Hospital, Stony Brook, NY, USA; 2University of Iowa; 3CARE Arthritis; 4Long Beach, CA; 5University Hospital, Ulm Germany; 6Mount Sinai Hospital; 7University of Washington; 8SUNY-Stony Brook Hospital; 9Sick Kids Children’s Hospital; 10Biostatistical Consulting Core - Renaissance School of Medicine at Stony Brook University; 11Seattle Children’s Hospital; 12Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Farzana Nuruzzaman
A14 Prospective value of brain structural MRI metrics to aid the diagnosis and clinical evaluation of systemic lupus erythematosus in children
Diana Valdes Cabrera1, Santiago Arciniegas1, Matthias Wagner2, Birgit Ertl-Wagner1, Tala El Tal1, Asha Jeyanathan1, Lawrence Ng1, Deborah Levy1, Linda Hiraki1, Andrea Knight3
1The Hospital for Sick Children, Toronto, Ontario Canada; 2The Hospital for Sick Children, Toronto, Ontario, Canada; University Hospital Augsburg, Germany; 3The Hospital for Sick Children and SickKids Research Institute, Toronto, Ontario, Canada
Correspondence: Diana Valdes Cabrera
Group (% SLE)
|
Age in Years (Mean ± SD)
|
Sex (% Female)
|
Time since Diagnosis (Months)
|
SLEDAI
a (Activity)
|
Prednisone Exposure (Current/Past)
|
Current Prednisone Dose (mg)
|
---|---|---|---|---|---|---|
Non-NPSLE (82/133, 62%) | 14.40 ± 2.7 | 68/82 (83%) | 14.7 ± 32.3 | 6.5 ± 6.8 | 41/82 (50%) | 14.4 ± 21.2 |
NPSLE (51/133, 38%) | 14.10 ± 2.8 | 41/51 (80%) | 10.9 ± 21.1 | 11.5 ± 9.0* | 34/51 (67%) | 24.5 ± 25.6* |
Controls (HC) | 14.48 ± 2.7 | 108/132 (82%) | - | - | - | - |
A15 Validation of an electronic health record algorithm to identify children with chronic rheumatic disease
Alysha Taxter1, Matthew Basiaga2, Rajdeep Pooni3, Caitlan Pinotti4, Lisa Buckley5
1Nationwide Children’s Hospital, Columbus, OH, USA; 2Mayo Clinic; 3Stanford Children’s Health, Stanford University School of Medicine; 4Duke University, Durham, NC USA; 5Monroe Carell Jr. Children’s Hospital at Vanderbilt, Nashville, TN, USA
Correspondence: Alysha Taxter
Prospective Query | Retrospective Query | |||
---|---|---|---|---|
B-coefficient (95% CI) |
p-value
| B-coefficient (95% CI) |
p-value
| |
Age | 0.06 (0.02, 0.10) | <0.01 | 0.05 (0.08, 0.08) | 0.02 |
Return visit type | 4.39 (2.41, 6.36) | <0.01 | 2.56 (1.77, 3.35) | <0.01 |
Female sex | -0.06 (-0.43, 0.31) | 0.75 | 0.20 (-0.19, 0.60) | 0.31 |
B-coefficient (95% CI) |
p-value
| |
---|---|---|
Age | 0.04 (-0.01, 0.08) | 0.08 |
Return visit type | -0.39 (-1.21, 0.43) | 0.35 |
Female sex | 0.17 (-0.63, 0.97) | 0.68 |
A16 Feasibility and acceptability of yoga for adolescents with juvenile idiopathic arthritis
Adina Dawoud1, Jill Blitz1, Steffany Moonaz2
1Children’s Hospital Los Angeles, Los Angeles, CA USA; 2Southern California University of Health Sciences
Correspondence: Steffany Moonaz
A17 Creating a predictive algorithm for diagnosis of chronic inflammatory arthritis based on initial consultation data: a retrospective review at a quaternary pediatric rheumatology center
Kendra Lauer, Kyla Driest, Alysha Taxter
Nationwide Children’s Hospital, Columbus, OH, USA
Correspondence: Kendra Lauer
Total (N=2054) | No diagnosis of inflammatory arthritis (N=1857) | Diagnosis of inflammatory arthritis (N=197) |
p-value
| |
---|---|---|---|---|
Refer for positive ANA | 224 (11%) | 219 (12%) | 5 (3%) | <0.01 |
Refer for pain | 673 (33%) | 620 (34%) | 53 (27%) | 0.06 |
Refer for swelling | 238 (12%) | 167 (9%) | 71 (36%) | <0.01 |
Refer for fever | 122 (6%) | 120 (6%) | 2 (1%) | <0.01 |
Refer for rash | 87 (4%) | 85 (5%) | 2 (1%) | 0.02 |
Refer for fatigue | 60 (3%) | 58 (3%) | 2 (1%) | 0.10 |
Patient global, median [IQR] | 4 [1, 6] | 4 [2, 5] | 5 [1, 9] | <0.01 |
Patient pain, median [IQR] | 4 [1, 7] | 4 [1, 6] | 5 [3, 7] | <0.01 |
CHAQ, median [IQR] | 0.25 [0, 0.88] | 0.25 [0, 0.75] | 0.5 [0.13, 1] | <0.01 |
Morning stiffness | 1260 (62%) | 1100 (60%) | 160 (81%) | <0.01 |
Total (N=2054) | No diagnosis of inflammatory arthritis (N=1857) | Diagnosis of inflammatory arthritis (N=197) |
p-value
| |
---|---|---|---|---|
Constitutional | 1470 (72%) | 1341 (72%) | 129 (65%) | 0.05 |
Eyes | 732 (36%) | 660 (36%) | 72 (37%) | 0.78 |
Ears | 432 (21%) | 397 (21%) | 35 (18%) | 0.24 |
Nose | 368 (18%) | 339 (18%) | 29 (15%) | 0.22 |
Mouth/Throat | 889 (43%) | 810 (44%) | 79 (40%) | 0.34 |
Cardiac | 815 (39%) | 763 (41%) | 52 (26%) | <0.01 |
Respiratory | 614 (30%) | 552 (30%) | 61 (32%) | 0.61 |
Gastrointestinal | 1059 (52%) | 968 (52%) | 91 (46%) | 0.11 |
Urinary | 257 (12%) | 234 (13%) | 23 (12%) | 0.71 |
Reproductive | 246 (12%) | 227 (12%) | 19 (10%) | 0.29 |
Muscle | 1158 (56%) | 1051 (56%) | 107 (54%) | 0.53 |
Joint | 1459 (71%) | 1285 (69%) | 174 (88%) | <0.01 |
Dermatologic | 837 (41%) | 760 (41%) | 77 (39%) | 0.62 |
Hematologic | 643 (31%) | 581 (31%) | 62 (31%) | 0.96 |
Neurologic | 1069 (52%) | 994 (54%) | 75 (38%) | <0.01 |
Psychiatric | 1187 (57%) | 1084 (58%) | 103 (52%) | 0.10 |
Odds Ratio (95% CI) |
p-value
| |
---|---|---|
Patient global | 1.33 (1.09, 1.62) | 0.01 |
Patient-reported pain | 0.96 (0.79, 1.17) | 0.68 |
Patient-reported morning stiffness | 2.79 (0.95, 8.21) | 0.06 |
CHAQ | 0.61 (0.24, 1.52) | 0.29 |
Refer for positive ANA | 0.44 (0.05, 3.62) | 0.44 |
Refer for pain | 0.53 (0.22, 1.26) | 0.15 |
Refer for swelling | 7.22 (3.00, 17.35) | <0.01 |
Refer for fever | 1.33 (0.15, 11.91) | 0.80 |
Refer for rash | -- | -- |
Refer for fatigue | 1.13 (0.11, 11.99) | 0.92 |
Positive mouth/throat ROS | 1.22 (0.53, 2.84) | 0.64 |
Positive cardiac ROS | 1.03 (0.10, 2.61) | 0.96 |
Positive joint ROS | 1.18 (0.36, 3.85) | 0.79 |
Positive neurologic ROS | 0.21 (0.08, 0.57) | <0.01 |
Positive psychiatric ROS | 0.90 (0.38, 2.13) | 0.81 |
A18 Elucidating the factors that influence the use of minor salivary gland biopsy for the evaluation of childhood Sjögren’s disease
Hemalatha Srinivasalu1, Brian Dizon2, Matthew Basiaga3, Sara Stern4, Akaluck Thatayatikom5, Seunghee Cha6, Scott Lieberman7, for the CARRA Sjögren’s Workgroup8
1GW School of Medicine, Washington, D.C. USA; 2NIAMS, NIH; 3Mayo Clinic; 4University of Utah, Salt Lake City, UT, USA; 5AdventHealth for Children; 6University of Florida, Gainsville, Gainsville, FL USA; 7University of Iowa, Iowa City, IA, USA; 8Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Hemalatha Srinivasalu
A19 Clinical disease manifestations associated with TNF inhibitor non-response in juvenile spondyloarthritis
Melissa Oliver1, Kelly Mosesso1, Pamela Weiss2, Robert Colbert3, Matthew Stoll4, Hemalatha Srinivasalu5, for the CARRA Registry Investigators6
1Indiana University School of Medicine, Indianapolis, IN, USA; 2UPENN/CHOP; 3National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH; 4University of Alabama at Birmingham; 5GW School of Medicine; 6Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Melissa Oliver
Characteristic | Non-responder (N=118) | Responder (N=168) |
p value
|
---|---|---|---|
Sex, Male (n, %)
| 45 (38.1%) | 87 (51.8%) |
0.023
|
Age, y
| 0.910 | ||
Mean (SD) | 12.1 (4.0) | 12.1 (4.1) | |
Race (n, %)
| 0.369 | ||
White | 96 (86.5%) | 124 (79.5%) | |
Black | 6 (4.8%) | 10 (6.1%) | |
Other race | 14 (11.3%) | 23 (14.1%) | |
Not Hispanic or Latino (n, %)
| 108 (91.5%) | 147 (87.5%) | 0.281 |
Disease duration, y
| 1.2 (1.8) | 1.3 (2.1) | 0.295 |
Positive HLA-B27
a (n, %)
| 35 (37.2%) | 54 (41.5%) | 0.516 |
BMI kg/m2
| 22.5 (6.6) | 21.1 (6.3) |
0.023
|
Baseline visit | Post-TNFi start visit | |||||
---|---|---|---|---|---|---|
Non-responder (N=118) | Responder (N=168) |
p value
| Non-responder (N=118) | Responder (N=168) |
p value
| |
Active Joint Count Mean (SD)
| 5.0 (6.5) | 5.0 (6.0) | 0.115 | 4.0 (6.1) | 0.7 (1.6) |
<0.001
|
Tender Entheses (n, %)
| 49 (45.0%) | 53 (34.4%) | 0.084 | 45 (41.7%) | 22 (14.1%) |
<0.001
|
Clinically Active Sacroiliitis (n, %)
| 36 (34.6%) | 29 (18.8%) |
0.004
| 25 (23.6%) | 11 (7.4%) |
<0.001
|
Uveitis (n, %)
| 6 (5.1%) | 3 (1.9%) | 0.177 | 7 (6.0%) | 0 (0) |
0.002
|
PhGA Mean (SD)
| 3.1 (2.1) | 3.4 (2.4) | 0.580 | 2.3 (1.9) | 0.8 (1.1) |
<0.001
|
PtGA Mean (SD)
| 4.6 (2.5) | 3.5 (2.5) |
0.007
| 4.3 (2.3) | 2.1 (2.4) |
<0.001
|
CHAQ Disability Index Mean (SD)
| 0.7 (0.6) | 0.6 (0.6) | 0.107 | 0.6 (0.6) | 0.3 (0.5) |
<0.001
|
A20 Defining and endotyping syndrome of undifferentiated recurrent fevers
Marci Macaraeg1, Grant Schulert1, Nadine Saad2, Fatma Dedeoglu3, Tiphanie Vogel4
1Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 2University of Michigan, Ann Arbor, MI, USA; 3Boston Children’s Hospital, Boston, MA USA; 4Baylor College of Medicine/Texas Children’s Hospital
Correspondence: Marci Macaraeg
A21 Proposed pathways involved in the pathogenesis of juvenile dermatomyositis
Samantha Coss1, Rabheh Abdul Aziz1, Danlei Zhou2, Katherine Miller1, Stacy Ardoin1, Edward Oberle1, Kyla Driest1, Ohoud Al Ahmed1, Anjali Patwardhan1, Shoghik Akoghlanian1, Vidya Sivaraman1, Joanne Drew1, Charles Spencer1, Chack-Yung Yu1
1Nationwide Children’s Hospital, Columbus, OH, USA; 2The Abigail Wexner Research Institute at Nationwide Children’s Hospital
Correspondence: Samantha Coss
A22 Social determinants of health in children with rheumatic disease: a single center cohort
Kristina Ciaglia1, Elizabeth Sloan2, Tracey Wright2
1UT Southwestern Medical Center and Scottish Rite Hospital for Children; 2Texas Scottish Rite Hospital, Dallas, TX USA
Correspondence: Kristina Ciaglia
Social Determinant of Health Survey Questions | Responses: Number of patients (%) |
---|---|
In the last 12 months, was there a time when you were not able to pay the mortgage or rent on time? | Yes: 109 (12.7%) No: 569 (66.1%) Refused to answer/blank: 183 (21.2%) |
In the last 12 months, how many places have you lived? | 1: 606 (70.4%) 2: 58 (6.7%) 3+: 6 (0.7%) Refused to answer/blank: 191 (22.2%) |
In the last 12 months, was there a time when you did not have a steady place to sleep or slept in a shelter (including now)? | Yes: 19 (2.2%) No: 674 (78.3%) Refused to answer/blank: 168 (19.5%) |
In the past 12 months, has lack of transportation kept you from medical appointments or from getting medications? | Yes: 39 (4.5%) No: 621 (72.2%) Refused to answer/blank: 201 (23.3%) |
In the past 12 months, has lack of transportation kept you from meetings, work, or from getting things needed for daily living? | Yes: 35 (4.1%) No: 629 (73%) Refused to answer/blank: 197 (22.9%) |
Within the past 12 months, you worried that your food would run out before you got the money to buy more. | Never true: 508 (59%) Sometimes true: 121 (14.1%) Often true: 19 (2.2%) Refused to answer/blank: 213 (24.7%) |
Within the past 12 months, the food you bought just didn’t last and you didn’t have money to get more. | Never true: 542 (63%) Sometimes true: 92 (10.6%) Often true: 11 (1.3%) Refused to answer/blank: 216 (25.1%) |
Overall Cohort (n = 861) | SLE Cohort (n = 66) | JDM Cohort (n = 50) | JIA Cohort (n = 371) | |
---|---|---|---|---|
Mean Age (SD)
| 11.7 (4.4) | 14.9 (3.1) | 11.4 (4.9) | 11.7 (4.3) |
Race/Ethnicity Number (%)
| ||||
Non-Hispanic White | 311 (36.1%) | 8 (12%) | 26 (52%) | 173 (46.6%) |
Black/African American | 65 (7.5%) | 11 (16.7%) | 5 (10%) | 32 (8.6%) |
Asian | 36 (4.2) | 4 (6%) | 2 (4%) | 13 (3.5%) |
American Indian | 7 (0.8%) | 1 (1.5%) | 1 (2%) | 4 (1.1%) |
Other Race | 129 (15%) | 6 (9.1%) | 2 (4%) | 33 (8.9%) |
Hispanic/Latino | 310 (36%) | 38 (57.6%) | 24 (48%) | 117 (31.5%) |
Sex Number (%)
| ||||
Male | 259 (30%) | 7 (10.6%) | 16 (32%) | 106 (28.9%) |
Female | 602 (70%) | 59 (89.4%) | 34 (68%) | 265 (71.4%) |
Insurance Status Number (%)
| ||||
Government/None | 369 (42.9) | 73 (65.2%) | 25 (50%) | 148 (39.9%) |
Commercial | 492 (57.1%) | 23 (34.8%) | 25 (50%) | 223 (60.1%) |
SDOH Responses Number (%)
| ||||
“I need help with reading materials” | ||||
Yes | 66 (7.6%) | 10 (15.2%) | 6 (12%) | 18 (4.9%) |
No | 632 (73.4%) | 35 (53%) | 24 (48%) | 240 (64.7%) |
Refused to answer/blank | 163 (18.9%) | 21 (31.8%) | 20 (40%) | 113 (30.4%) |
“Do you have a High School degree?” | ||||
Yes | 592 (68.8%) | 32 (48.5%) | 24 (48%) | 228 (61.4%) |
No | 101 (11.7%) | 11 (16.7%) | 6 (12%) | 31 (8.4%) |
Refused to answer/blank | 168 (19.5%) | 23 (34.9%) | 20 (40%) | 112 (30.2%) |
A23 Resilience & mental health in childhood-onset systemic lupus erythematosus: a cross-sectional study
Isabella Zaffino1, Ashley Danguecan1, Joanna Law1, Kiah Reid1, Angela Cortes1, Eugene Cortes1, Sandra Williams-Reid1, Adrienne Davis1, Asha Jeyanathan1, Sona Sandhu1, Lawrence Ng1, Paris Moaf1, Deborah Levy1, Linda Hiraki1, Andrea Knight2
1The Hospital for Sick Children, Toronto, Canada; 2The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada
Correspondence: Isabella Zaffino
Demographic Characteristics | Total Cohort (n=36)a |
---|---|
Age at study visit in years, mean (SD) | 15.3 (1.9) |
Sex/gender, n (%) | |
Female | 30 (83.3) |
Male | 4 (11.1) |
Other | 2 (5.6) |
Race/ethnicity, n (%) | |
Asian | 21 (58.3) |
Black or African American | 4 (11.1) |
White | 7 (19.4) |
Other | 4 (11.1) |
Household income, n (%) | |
Above poverty line | 22 (61.1) |
Below poverty line | 11 (30.6) |
Disease Characteristics
| |
Age at diagnosis in years, mean (SD) | 11.9 (5.1) |
Disease duration in years, mean (SD) | 2.6 (2.4) |
Disease activity (SLEDAI), mean (SD) | 8.8 (7.7) |
Disease damage (SDI) (Score >0), n (%) | 0 (0) |
Resilience Characteristics
| |
CD-RISC 10, mean (SD) | 26.4 (6.7) |
CYRM-R, mean (SD) | 74.0 (7.1) |
Mental Health Characteristics
| |
Depressive symptom BDI-II total score, mean (SD) | 13.3 (10.0) |
Clinically elevated depressive symptoms, n (%) | |
Minimal | 10 (27.8) |
Mild | 11 (30.6) |
Moderate | 2 (5.6) |
Severe | 4 (11.1) |
Anxiety symptom SCARED total score, mean (SD) | 24.6 (13.9) |
Clinically elevated anxiety symptoms, n (%) | 13 (36.1) |
Panic disorder/somatic symptoms | 8 (22.2) |
Generalized anxiety disorder | 11 (30.6) |
Separation anxiety disorder | 10 (27.8) |
School anxiety disorder | 9 (25.0) |
School avoidance | 10 (27.8) |
Resilience | ||
---|---|---|
Mental Health Outcomes | CYRM-R
r (p value)
| CD-RISC 10
r (p value)
|
Depressive symptoms (BDI-II) | -0.42 (0.03)* | -0.46 (0.02)* |
Anxiety symptoms (SCARED) | -0.05 (0.80) | -0.12 (0.55) |
Disease Outcomes
| ||
Disease activity (SLEDAI) | -0.01 (0.97) | -0.001 (0.10) |
Disease duration | -0.29 (0.11) | -0.02 (0.89) |
A24 Chronic nonbacterial osteomyelitis (CNO): continued delays in diagnosis and treatment lead to damage
Karen Onel1, Johanna Gandelsman2
1Hospital for Special Surgery, New York, NY, USA; 2Rush Medical College
Correspondence: Karen Onel
Total (n=59) | |
---|---|
Demographics | |
Female/male | 39:20 |
Age at onset, years, mean (range) | mean (5-13.5) |
Age at diagnosis, years, mean (range) | 11 (6-16) |
Time from first symptom to diagnosis, years, mean (range) | 2.1 (0.25-16) |
Follow-up, months, median (range) | 24 (6-60) |
Clinical Features n (%) | |
Presenting symptoms | |
Bone pain | 56/59 (95%) |
Bone swelling | 22/59 (37%) |
Morning stiffness | 21/59 (36%) |
Family History of Inflammatory Disease | 37/59 (63%) |
Personal History of 2nd Inflammatory Disease | 35/59 (59%) |
Unifocal:Multifocal | 18:41 |
Bone Biopsy | 43/59 (72%) |
Treatments | |
Antibiotics | 12/59 |
NSAIDs | 56/59 |
Biologics | 33/59 |
Conventional DMARDS | 15/59 |
Glucocorticoids | 4/59 |
Bisphosphonates | 9/59 |
A25 Analysis of SLCO1B1 variants as predictors of methotrexate tolerance in mexican children with juvenile idiopathic arthritis
Jimena Garcia-Silva1, Beatriz Silva-Ramirez2, Ana Leos-Leija3, Viviana Leticia Mata-Tijerina2, Maria de Lourdes Aldana-Galvan4, Ana Villarreal-Treviño3, Nadina Rubio-Perez5, Fernando Garcia-Rodriguez5
1Hospital Universitario “Dr. Jose Eleuterio Gonzalez” Universidad Autónoma de Nuevo León; Monterrey, México; 2Centro de Investigación Biomédica del Noreste, Instituto Mexicano del Seguro Social; 3Hospital Universitario “Dr. Jose Eleuterio Gonzalez”, Monterrey, Nuevo Leon, Mexico; 4Hospital Universitario “Dr. Jose Eleuterio González”, Universidad Autonoma de Nuevo León; 5Hospital Universitario “Dr. Jose Eleuterio Gonzalez”, Universidad Autonoma de Nuevo León
Correspondence: Jimena Garcia-Silva
A26 Depression and transition readiness in adolescents and young adults with childhood onset rheumatic disease: is there a correlation?
Rebecca Overbury, Devin Eddington, Katherine Sward, Aimee Hersh
University of Utah, Salt Lake City, UT, USA
Correspondence: Rebecca Overbury
Variable | Levels | Summary (N=173) |
---|---|---|
TRA Score Mod2 | Mean (SD) | 16.9 (4.6) |
Median (IQR) | 18.0 (14.0, 21.0) | |
Range | (4.0, 23.0) | |
TRA Score Mod5 | Mean (SD) | 18.9 (4.3) |
Median (IQR) | 20.0 (17.0, 23.0) | |
Range | (7.0, 23.0) | |
Module Score Difference | Mean (SD) | 2.2 (3.6) |
Median (IQR) | 2.0 (0.0, 4.0) | |
Range | (-5.0, 16.0) | |
PHQ9 Score | Mean (SD) | 7.2 (6.7) |
Median (IQR) | 5.0 (2.0, 10.0) | |
Range | (0.0, 27.0) | |
Ethnicity | Hispanic or Latino | 30 (17.6%) |
NOT Hispanic or Latino | 132 (77.6%) | |
Not Reported | 4 (2.4%) | |
Unknown | 4 (2.4%) | |
Race | American Indian or Alaskan Native | 1 (0.6%) |
Asian | 5 (2.9%) | |
Black or African American | 5 (2.9%) | |
Multiracial | 4 (2.3%) | |
Native Hawaiian or Pacific Islander | 3 (1.7%) | |
Unknown | 16 (9.2%) | |
White | 139 (80.3%) | |
Sex | Female | 132 (76.3%) |
Male | 41 (23.7%) | |
Gender Identity | Cis-female | 64 (70.3%) |
Cis-male | 17 (18.7%) | |
Non-binary | 4 (4.4%) | |
other | 5 (5.5%) | |
Transgender male | 1 (1.1%) | |
Primary diagnosis | ankylosing spondylitis | 4 (2.5%) |
AoSD | 3 (1.9%) | |
Bechets | 3 (1.9%) | |
Crystal Arthropathy | 2 (1.3%) | |
Enthesitis Related JIA | 20 (12.6%) | |
inflammatory enthesitis | 1 (0.6%) | |
MCTD | 3 (1.9%) | |
Oligo extended JIA | 6 (3.8%) | |
Oligo persistent JIA | 13 (8.2%) | |
Other | 7 (4.4%) | |
Other Autoinflammatory | 3 (1.9%) | |
Polyarticular RF negative JIA | 28 (17.6%) | |
Polyarticular RF+ JIA | 10 (6.3%) | |
Psoriatic Arthritis | 3 (1.9%) | |
Psoriatic JIA | 3 (1.9%) | |
Raynaud’s | 1 (0.6%) | |
Rheumatoid Arthritis | 21 (13.2%) | |
Sjogren | 2 (1.3%) | |
spondyloarthritis | 2 (1.3%) | |
Systemic JIA | 3 (1.9%) | |
Systemic Lupus Erythematosus | 20 (12.6%) | |
Undifferentiated Connective tissue Disease | 1 (0.6%) | |
Age at diagnosis | Mean (SD) | 13.0 (4.5) |
Median (IQR) | 15.0 (11.0, 16.0) | |
Range | (1.0, 19.0) |
A27 CARRA+PReS alignment of registry parameters to further collaborative research on childhood-onset systemic lupus erythematosus
Rebecca Sadun1, Jennifer Cooper2, Alenxandre Belot3, Eve Smith4, Laura Lewandowski5
1Duke University School of Medicine, Durham, NC, USA; 2University of Colorado, Aurora, CO, USA; 3Centre Hospitalier Universitaire de Lyon, Lyon, France; 4Alder Hey Children’s Hospital, Liverpool, UK; 5National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA
Correspondence: Rebecca Sadun
Demographics |
Date of birth |
Country of residence |
Biologic sex |
Gender identity |
Ancestry |
SLE history |
Date of SLE diagnosis |
Date of SLE symptom onset |
Family history |
SLE in first degree relatives |
SLE Classification (collect disaggregated elements) |
2012 SLICC classification criteria |
2019 EULAR/ACR classification criteria |
General visit data |
Blood pressure, height, weight |
For females: menarche (date) & current menses |
Disease activity |
SLEDAI-2K |
Physician global assessment of disease activity |
Patient/parent global assessment |
SLE-related damage |
SLICC Damage Index |
Kidney biopsy data |
Date of biopsy |
ISN/RPS classification |
Laboratory Tests |
White blood cell, lymphocyte, neutrophil counts |
Hemoglobin concentration |
Platelet count |
Serum creatinine, albumin |
Erythrocyte sedimentation rate, C-reactive protein |
ANA and ENA results (positive/negative) |
dsDNA (titer) |
Antiphospholipid antibodies (positive/negative) |
IgG |
Urine microscopy (RBCs, WBCs, casts) |
Urine protein to creatinine ratio |
Medications |
Corticosteroids (oral and intravenous) |
Immunomodulators |
Antihypertensives |
Anticoagulants |
Lipid lowering agents |
Vitamin D |
Antidepressants |
Contraceptives |
Serious adverse events (dates) |
Hospitalization (reason) |
Death (cause) |
End-stage kidney disease, dialysis, transplant |
Pregnancy (date, outcome) |
Malignancy (type) |
Family history |
Primary Sjogren syndrome |
Rheumatoid Arthritis |
Antiphospholipid syndrome |
Other rheumatic disease |
Disease activity |
BILAG-2004 |
SLE-related damage |
Parental height (to identify decreased final height) |
Kidney biopsy data |
Modified NIH disease activity & chronicity scores |
Presence of thrombotic microangiopathy |
Percent crescents |
Percent sclerosis |
Presence of interstitial fibrosis & tubular atrophy |
Genetic data |
Confirmed or suspected monogenic lupus |
DNA collected/sequenced: yes/no |
Known or suspected mutation/variant |
Laboratory tests |
Ferritin |
Direct coombs, LDH, haptoglobin |
CH50 |
Anti-C1q antibodies |
TSH |
Hgb A1c |
Total cholesterol, triglycerides, LDL, HDL |
25-OH vitamin D |
Adverse events |
HCQ maculopathy |
Comorbidities |
Sjogren syndrome |
Autoimmune thyroid disease |
Other autoimmune disease (options + free-text) |
Primary immunodeficiency |
Tuberculosis (latent, active) |
HIV |
Depression |
Domain | Measure | Number of questions | Notes |
---|---|---|---|
Disease Activity | Patient/Parent Global Assessment of Disease Activity | 1 | Also included in core dataset |
Experiences of Discrimination | Everyday Discrimination Scale SF | 5 | Ages 14+ years |
Fatigue | PROMIS Pediatric Fatigue SF | 10 | Ages 8-18 years |
Global Health | PROMIS Pediatric Global Health | 7 | Ages 8-18 years |
Anxiety | PROMIS Pediatric Anxiety SFa | 8 | Ages 8-18 years |
Depression | PROMIS Pediatric Depression SFa | 8 | Ages 8-18 years |
A28 Facilitating collaborations in pediatric localized scleroderma research: international validation of outcome measures
Christina Zigler1, Clare Pain2, Debra Henke1, Hanna Lythgoe3, Kaveh Ardalan1, Kathryn Torok4, Suzanne Li5
1Duke University School of Medicine, Durham, NC USA; 2Alder Hey Children’s NHS Foundation Trust, Liverpool, England; 3Royal Manchester Children’s Hospital, Manchester, UK; 4University of Pittsburgh Medical Center, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA; 5Joseph M Sanzari Children’s Hospital, Hackensack Meridian School of Medicine, Hackensack, NJ, USA
Correspondence: Christina Zigler
Aim | Status |
---|---|
AIM 1: Internationally validate the Localized Scleroderma Quality of Life Instrument (LoSQI), a jLS-specific patient-reported HRQoL measure | The study team has reviewed and provided feedback on the back-translations for 21 languages, and reviewed summaries of cognitive interview data for 3 languages. 5 countries are still enrolling for the probe phase. |
AIM 2: Refine initial weighting of items in two of the modules of the Localized scleroderma Total Severity Score (LoTSS) with an international group of jLS experts. | Three rounds of the Delphi process have been completed. Refined weighting of the LoTSS Craniofacial/Neurologic and Other Organ modules have been defined. We will utilize the quantitative data described in Aim 3 to analyze psychometric properties of the new weighting scheme. |
AIM 3: Generate the first prospective global jLS dataset in order to evaluate the psychometric properties of novel jLS outcome measures (LoSQI, PROMIS, TMS). | International data is currently being collected by Associate Prof Clare Pain via PReS/PRINTO. 68 participants have currently been enrolled across 11 sites. SCORE data is collected and includes data from upwards of 50 pediatric patients. A data use agreement is in progress. |
A29 Evaluation of a tool to enhance training of the physical examination of the temporomandibular joint (TM Joint) in juvenile idiopathic arthritis (JIA)
Tova Ronis1, Nancy Pan2, Rebecca Sadun3, Melissa Lerman4, Cory Resnick5, James Bost6, Peter Stoustrup7, Marinka Twilt8, for the CARRA Registry Investigators9
1Children’s National Hospital, George Washington University, Washington, DC, USA; 2Weill Cornell Medical College, Hospital for Special Surgery, New York, NY; 3Duke University School of Medicine, Durham, NC, USA; 4University of Pennsylvania, Children’s Hospital of Philadelphia, Philadelphia, PA, USA; 5Harvard Medical School, Boston, MA, USA; 6Children’s National Hospital, Washington, DC, USA; 7Aarhus University, Aarhus, Denmark; 8University of Calgary, Alberta Children’s Hospital, Calgary, AB, Canada; 9Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Tova Ronis
Module Mean (SD) | Article Mean (SD) |
P value (Wilcoxon Rank Sum Test)
| |
---|---|---|---|
OSCE total score | 13.54 (1.91) | 11.09 (3.27) | 0.059 |
History taking | 3.09 (0.94) | 2.82 (1.08) | 0.581 |
Palpation | 2 (0.63) | 2.27 (0.90) | 0.214 |
Mandibular deviation | 2.54 (1.13) | 2.09 (1.37) | 0.418 |
Measurements | 4.09 (1.38) | 2.36 (1.21) |
0.005
|
MUMO calculation | 1.45 (0.93) | 0.36 (0.81) |
0.012
|
Symmetry | 1 (0) | 0.63 (0.50) |
0.030
|
Profile | 0.81 (0.40) | 0.91 (0.30) | 0.543 |
A30 Pathogenesis of muscle weakness in 3D muscle model: investigating theories for juvenile dermatomyositis
Lauren Covert1, Anna Demelo2, George Truskey2
1Duke University School of Medicine; 2Duke University Pratt School of Engineering
Correspondence: Lauren Covert
A31 Treatment barriers in patients with juvenile idiopathic arthritis
Julia Harris, Leslie Favier, Michael Holland, Emily Fox, Jordan Jones, Cara Hoffart, Ashley Cooper
Children’s Mercy Kansas City
Correspondence: Julia Harris
Barrier | Visit with barrier identified (n=42)a |
---|---|
Treatment is painful | 17 (40.5% |
Dislike side effects | 14 (33.3%) |
Forget to do treatment | 14 (33.3%) |
Makes me uncomfortable or upset | 12 (28.6%) |
Dislike the taste | 10 (23.8%) |
Run out of medication | 9 (21.4%) |
Pills hard to swallow | 8 (19%) |
Worry about future side effects | 7 (16.7%) |
Feel treatment is not needed | 6 (14.3%) |
Refuse to do treatment | 5 (11.9%) |
Do not want others to know | 5 (11.9%) |
Treatment is inconvenient | 4 (9.5%) |
May impact ability to have children in the future | 4 (9.5%) |
Gets in the way of other activities | 3 (7.1%) |
Treatment does not work | 2 (4.8%) |
Treatment is too expensive | 1 (2.4%) |
Instructions hard to follow | 0 (0%) |
A32 Patient- and center-level risk factors for research lost to follow-up using the childhood arthritis and rheumatology research alliance (CARRA) registry
Monica Aswani1, Livie Huie1, Kristine Hearld1, Melissa Mannion1, Emily Smitherman1, for the CARRA Registry Investigators2
1University of Alabama at Birmingham, Birmingham, AL, USA; 2Chilhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Monica Aswani
Not Lost to Follow-up | Lost to Follow-up | |||
---|---|---|---|---|
Mean/Prop. | SD/Freq. | Mean/Prop. | SD/Freq. | |
Lost to Follow-up | .000 | 9002 | 1.000 | 728 |
Age | 11.540 | 4.795 | 12.341 | 4.837 |
Female | .720 | 6483 | .668 | 486 |
% Missed Appointments | 6.964 | 14.410 | 47.449 | 18.756 |
% Unscheduled Appointments | 1.674 | 6.407 | .755 | 3.699 |
Race/Ethnicity
| ||||
White | .711 | 6403 | .720 | 524 |
Black | .064 | 575 | .088 | 64 |
Asian | .046 | 410 | .027 | 20 |
Native American | .013 | 115 | .008 | 6 |
Middle Eastern | .006 | 56 | .004 | 3 |
Native Hawaiian or Pacific Islander | .006 | 54 | .003 | 2 |
Other | .016 | 140 | .023 | 17 |
Decline to Answer | .019 | 175 | .011 | 8 |
Hispanic | .119 | 1074 | .115 | 84 |
Insurance
| ||||
Private Insurance | .618 | 5559 | .635 | 462 |
Medicaid | .195 | 1755 | .232 | 169 |
Medicare | .021 | 186 | .021 | 15 |
Non-Medicaid State Insurance | .025 | 229 | .029 | 21 |
Military Insurance | .016 | 146 | .014 | 10 |
Indian Health Insurance | .012 | 108 | .016 | 12 |
No Insurance | .048 | 435 | .003 | 2 |
Non-US Insurance | .065 | 584 | .051 | 37 |
Other Insurance | ||||
Income
| ||||
<25,000 | .079 | 715 | .092 | 67 |
25,000-49,999 | .117 | 1054 | .143 | 104 |
50,000-74,999 | .117 | 1056 | .137 | 100 |
75,000-99,999 | .106 | 957 | .117 | 85 |
100,000-150,000 | .167 | 1499 | .120 | 87 |
>150,000 | .151 | 1363 | .106 | 77 |
Unknown | .134 | 1209 | .183 | 133 |
Decline to Answer | .128 | 1149 | .103 | 75 |
Education
| ||||
Less than High School | .037 | 332 | .018 | 13 |
High School | .133 | 1193 | .076 | 55 |
College or Higher | .611 | 5503 | .266 | 194 |
Decline or Unknown | .219 | 1974 | .640 | 466 |
PR Coin Site | .414 | .492 | ||
Year Site Enrolled 1st Patient
| ||||
2015 | .493 | 4438 | .613 | 446 |
2016 | .462 | 4157 | .368 | 268 |
2017 | .019 | 170 | .003 | 2 |
2018 | .019 | 170 | .015 | 11 |
2019 | .007 | 67 | .001 | 1 |
A33 Health literacy in childhood-onset systemic lupus erythematosus
McKenzie Vater, Alaina Davis, Sarah Jaser
Vanderbilt University Medical Center, Nashville, TN USA
Correspondence: McKenzie Vater
A34 Assessment of ophthalmology education in pediatric rheumatology: a CARRA survey of pediatric rheumatology fellows
Jully Padam1, Tzielan Lee1, Rajdeep Pooni2, Dana Gerstbacher1, Quan Dong Nguyen1, Sheila T. Angeles-Han3, for the CARRA Investigators4
1Stanford University, Palo Alto, CA, USA; 2Stanford Children’s Health, Stanford University School of Medicine; 3Cincinnati University; 4Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Jully Padam
A35 Disease-specific DNA methylation profiles in CD4+T cells separate psoriatic JIA from ERA-JIA patients promising potential as biomarkers
Ana Carvalho1, Amandine Charras1, Emil Carlsson1, Liza McCann2, Clare Pain2, Polly Ferguson3, Christian Hedrich4
1Institute of Life Course and Medical Sciences, University of Liverpool, Liverpool, UK; 2Alder Hey Children’s NHS Foundation Trust, Liverpool, England; 3University of Iowa; 4Department of Women’s and Children’s Health, University of Liverpool
Correspondence: Christian Hedrich
A36 Gaps in care in adolescents and young adults with childhood-onset systemic lupus
Tamar Rubinstein1, Lisbel Guzman2, MaryAnn Ramos3, Carmen Rodriguez2, Syeda Samar Sohail1, Chaim Putterman4, Vilma Gabbay5
1Albert Einstein College of Medicine, Bronx, NY; Children’s Hospital at Montefiore, Bronx, NY, USA; 2Albert Einstein College of Medicine, Bronx, NY; 3Children’s Hospital at Montefiore, Bronx, NY; 4Azrieli Faculty of Medicine, Bar-Ilan University, Zefat, Israel; Albert Einstein College of Medicine, Bronx, NY; 5University of Miami/ Nathan Kline Institute for Psychiatric Research
Correspondence: Tamar Rubinstein
Total cohort | AYA with gaps in care* | AYA without gaps in care |
p value
| |
---|---|---|---|---|
Age (median, IQR) | 20 (18, 21) | 21 (19, 22) | 19 (17, 21) | 0.01 |
Gender | 0.1 | |||
Female (n, %) | 77 (85%) | 31 (78%) | 46 (90%) | |
Male (n, %) | 14 (15%) | 9 (23%) | 5 (10%) | |
Non-binary (n, %) | 0 | 0 | 0 | |
Race/ ethnicity | 0.8 | |||
Black | 35 (38%) | 16 (46%) | 19 (37%) | |
Hispanic/ Latino, non-Black | 42 (46%) | 17 (43%) | 25 (49%) | |
Other | 13 (14%) | 6 (15%) | 7 (14%) | |
Missing | 1 (1%) | 1 (3%) | 0 | |
Median household income by zipcode (median, IQR) | 48,000 (37,000-61,000) | 56,000 (39,000-63,000) | 39,000 (37,000-59,000) | 0.1 |
Preferred language | 0.01 | |||
English | 79 (87%) | 39 (97.5%) | 40 (78%) | |
Spanish | 12 (13%) | 1 (2.5%) | 11 (22%) | |
Unmet social needs | 0.04 | |||
None | 50 (55%) | 16 (40%) | 34 (68%) | |
≥1 | 15 (16%) | 9 (23%) | 6 (12%) | |
Missing | 26 (29%) | 15 (38%) | 11 (22%) | |
Depression screening (PHQ9) | 0.4 | |||
Clinical symptoms | 24 (26%) | 13 (33%) | 11 (22%) | |
None | 60 (67%) | 25 (63%) | 35 (69%) | |
Missing | 7 (8%) | 2 (5%) | 5 (10%) |
A37 Belimumab use in childhood-onset lupus: outcomes from the childhood arthritis and rheumatology research alliance registry
Jordan Roberts1, Kristen Carlin2, Kristen Hayward1, Rebecca Sadun3, Emily Smitherman4, Scott Wenderfer5, for the CARRA Registry Investigators6
1Seattle Children’s Hospital, University of Washington School of Medicine, Seattle, WA, USA; 2Seattle Children’s Hospital; 3Duke University School of Medicine, Durham, NC, USA; 4University of Alabama; 5BC Children’s Hospital; 6Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Jordan Roberts
Belimumab Users at Time of Belimumab Initiation (n=63) | Cohort with pSLE Diagnosis at Baseline Visit (n=994) | |
---|---|---|
Female | 58 (92.1%) | 856 (86.1%) |
Age at SLE Diagnosis, Years, Mean (Standard Deviation) | 13.5 (3.3) | 13.9 (2.9) |
Age at Belimumab Initiation, Years, Mean (SD) | 15.9 (2.9) | --- |
Disease Duration at Belimumab Initiation, Months, Median (IQR) | 18 (30.0) | --- |
SLEDAI-2K Score, Mean (SD) | 9.4 (6.6) | 8.6 (7.6) |
Race | ||
White | 15 (30.6%) | 260 (34.8%) |
Black | 25 (51.0%) | 283 (37.8%) |
Asian | 5 (10.2%) | 112 (16.3%) |
More than 1 Race | 3 (6.1%) | 43 (5.7%) |
Other | 1 (2.0%) | 40 (5.3%) |
Hispanic Ethnicity | 19 (30.2%) | 267 (26.9%) |
Insurance | ||
Public | 33 (52.4%) | 412 (41.5%) |
Private | 21 (33.3%) | 427 (43.0%) |
Uninsured | 0 (0.0%) | 21 (2.1%) |
Military | 4 (6.3%) | 22 (2.2%) |
Non-US | 2 (3.2%) | 55 (5.5%) |
Other | 3 (4.8%) | 42 (4.2%) |
More than 1 Insurance Type | 0 (0.0%) | 13 (1.3%) |
Household Income | ||
<$25,000 | 5 (12.2%) | 124 (19.3%) |
$25-49,999 | 14 (34.1%) | 163 (25.4%) |
$50-74,999 | 13 (31.7%) | 98 (15.3%) |
$75-99,999 | 4 (9.8%) | 77 (12.0%) |
$100-150,000 | 3 (7.3%) | 91 (14.2%) |
Above $150,000 | 2 (4.9%) | 89 (13.9%) |
Parental Education | ||
Less than high school | 6 (12.5%) | 98 (12.0%) |
High school graduate | 15 (31.3%) | 203 (24.8%) |
College | 23 (47.9%) | 358 (43.7%) |
Graduate School | 4 (8.3%) | 161 (19.6%) |
History of Lupus Nephritis | 28 (44.4%) | 419 (43.8%) |
Medication | Any Prior Use n (%) | Use at Time of Belimumab Initiation n (%) |
---|---|---|
Hydroxychloroquine/chloroquine | 54 (85.7) | 52 (82.5) |
Oral glucocorticoids | 54 (85.7) | 44 (69.8) |
Mycophenolate mofetil | 43 (68.3) | 37 (58.7) |
Intermittent pulse dose IV glucocorticoids | 30 (47.6) | 16 (25.4) |
Methotrexate | 18 (28.6) | 8 (12.7) |
Azathioprine | 15 (23.8) | 4 (6.3) |
Rituximab | 15 (23.8) | 5 (7.9) |
Cyclophosphamide | 10 (15.9) | 3 (4.8) |
Tacrolimus | 4 (6.3) | 4 (6.3) |
TNFi | 2 (3.2) | 0 (0.0) |
Anakinra | 1 (1.6) | 0 (0.0) |
SLEDAI-2K, β (95% CI) | Daily Oral Prednisone Equivalent Dose, β (95% CI) | PROMIS Pain, β (95% CI) | PROMIS Global Health, β (95% CI) | PROMIS Mobility, β (95% CI) | |
---|---|---|---|---|---|
Intercept (estimated mean score or dose, at time of belimumab initiation)
| 9.5 (8.1, 10.9) | 13.2 (10.0, 16.4) | 53.9 (50.9, 56.8) | 36.9 (35.1, 38.7) | 46.2 (43.5, 49.0) |
Time (estimated change per month)
| -0.29 (-0.46, -0.13)* | -0.49 (-0.87, -0.10)* | -0.00 (-0.01, 0.01) | 0.01 (0.00, 0.02)* | 0.01 (0.00, 0.02)* |
A38 Peripheral blood immunophenotype of juvenile scleromyositis overlap patients using bulk RNA sequencing: are overlap patients molecularly distinct?
Amanda Robinson1, Gabrielle Morgan2, Giffin Werner3, Anwesha Sanyal3, Haley Havrilla3, Srilakshmi Chaparala4, Lauren Pachman5, Kathryn Torok3
1University of Pittsburgh Medical Center, Pittsburgh, PA, USA; University of Utah, Salt Lake City, UT, USA; 2Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA; 3University of Pittsburgh Medical Center, Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA; 4Molecular Biology Information Service, Health Science Library System, University of Pittsburgh, Pittsburgh, PA, USA; 5Northwestern University Feinberg School of Medicine, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
Correspondence: Amanda Robinson
Juvenile Systemic Sclerosis (n=25) | Juvenile Dermatomyositis (n=25) | Juvenile Scleromyositis Overlap Disease (n=26) | |
---|---|---|---|
Demographics | |||
Age at Disease Onset (y) (mean (IQR)) | 9.3 (5.9-12.5) | 6.4 (3.2-8.8) | 10.0 (8.0-12.5) |
Age at Diagnosis (y) (mean (IQR)) | 11.7 (8.3-15.3) | 7.1 (4.0-10.5) | 11.1 (8.7-14.3) |
Age at Sample (y) (mean (IQR)) | 13.2 (10.3-16.8) | 9.5 (6.0-13.9) | 14.5 (12.7-17.1) |
Female (%) | 92 | 68 | 65 |
Race (%) | |||
White | 84 | 100 | 65 |
Black | 16 | 0 | 15 |
Asian | 0 | 0 | 12 |
Other/Mixed | 0 | 0 | 8 |
Hispanic (%) | 12 | 28 | 23 |
Treatment Status | |||
Duration of Untreated Disease (m) (mean (IQR)) | 28.5 (11.6-36.2) | 8.4 (2.4-11.0) | 14.7 (2.8-15.4) |
Duration Sample Treatment (m) (mean (IQR)) | 16.6 (2.9-25.5) | 27.5 (3.0-31.2) | 38.8 (7.8-56.2) |
Primary Autoantibody (%) | |||
ANA only | 24 | 0 | 0 |
Scl-70 | 52 | 0 | 3.8 |
Centromere | 12 | 0 | 0 |
RuvBL1/2 | 4 | 0 | 0 |
p155/140 | 0 | 40 | 11.5 |
Mi-2 | 0 | 12 | 0 |
MDA5 | 0 | 8 | 3.8 |
Jo-1 | 0 | 4 | 0 |
MJ | 0 | 4 | 7.7 |
Th/To | 0 | 4 | 0 |
PM-Scl | 0 | 4 | 23.1 |
U1RNP | 4 | 4 | 23.1 |
U3RNP | 0 | 0 | 15.4 |
Multiple | 0 | 4 | 3.8 |
Negative | 0 | 16 | 3.8 |
Unknown | 4 | 0 | 3.8 |
DEG | Pathway | p | FDR step up | Fold change |
---|---|---|---|---|
Up-Regulated | ||||
IFI27 | type 1 INF signaling, apoptosis, innate immune response | 5.21E-16 | 9.90E-12 | 49.4 |
SIGLEC1 | cell-cell adhesion | 1.01E-07 | 4.82E-04 | 5.95 |
IFI44L | type 1 INF signaling | 2.46E-07 | 7.80E-04 | 5.50 |
GPRC5B | NFkB signaling, macrophage cytokine production | 4.67E-08 | 2.96E-04 | 4.47 |
NOTCH2NLR | calcium ion binding | 3.63E-05 | 8.43E-03 | 4.23 |
USP18 | negative regulation of type I INF signaling, innate immune response | 1.20E-06 | 1.52E-03 | 3.91 |
RSAD2 | CD4+ alpha-beta T cell differentiation and activation, defense response to virus, innate immune response, TH2 cell cytokine production, TLR 7/9 signaling | 1.46E-04 | 1.98E-02 | 3.52 |
CXCL10 | cellular response to IL-17, regulation of T cell chemotaxis, endothelial cell activation, negative regulation of angiogenesis, negative regulation of myoblast differentiation | 7.39E-05 | 1.33E-02 | 3.31 |
IFITM3 | type I INF-mediated signaling pathway, response to type II INF | 8.26E-06 | 3.57E-03 | 3.27 |
Down-Regulated | ||||
IGHV1-69D | B cell receptor signaling, complement activation | 4.57E-06 | 2.59E-03 | -5.36 |
IGHA2 | B cell receptor signaling, complement activation | 1.83E-04 | 2.20E-02 | -4.04 |
KLRC2 | positive regulation of NK cell mediated cytotoxicity | 2.21E-05 | 6.46E-03 | -2.93 |
EGR3 | angiogenesis, endothelial cell chemotaxis, muscle organ development, gamma-delta T cell differentiation | 4.21E-04 | 3.66E-02 | -2.49 |
FOXH1 | cellular response to cytokine stimulus | 1.26E-03 | 6.51E-02 | -2.28 |
A39 A mental health workshop for pediatric rheumatology providers
Aviya Lanis1, Kaveh Ardalan2, Suzanne Edison3, Alana Goldstein-Leever4, Andrea Knight5, Sarah Mohammed6, Tamar Rubinstein7, Rebecca Sadun2, For the CARRA Mental Health Workgroup8
1Seattle Children’s Hospital, Seattle, WA, USA; 2Duke University School of Medicine, Durham, NC, USA; 3Cure JM; 4Nationwide Children’s Hospital, Columbus, OH, USA; 5The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada; 6American College of Rheumatology; 7Albert Einstein College of Medicine, Bronx, NY; Children’s Hospital at Montefiore, Bronx, NY, USA; 8 Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Aviya Lanis
Confidence level Domain | Pre-Workshop Mean | Post-Workshop Mean |
P-Value
|
---|---|---|---|
Initiate discussions with patients about emotional health | 3.58 | 4.33 | 0.0015 |
Initiate discussions with caregivers about emotional health | 3.58 | 4.25 | 0.0007 |
Assess patients with chronic medical conditions for comorbid depression | 3.58 | 4.00 | 0.0538 |
Assess patients with chronic medical conditions for comorbid anxiety | 3.50 | 4.08 | 0.0116 |
Assess patients with chronic medical conditions for suicidal ideation risk | 3.25 | 3.92 | 0.1201 |
Use the Patient Health Questionnaire (PHQ)-8 or PHQ-9 | 3.50 | 4.00 | 0.0261 |
Use the Generalized Anxiety Disorder-7 | 3.25 | 3.83 | 0.0116 |
Use the Ask Suicide-Screening Questions (ASQ) or Columbia Suicide-Severity Rating Scale (C-SSRS) | 2.58 | 3.42 | 0.002 |
A40 Improving the utilization and completeness of the pediatric rheumatology provider handoff for patients diagnosed with juvenile idiopathic arthritis
Sarah Baluta, Christina Schutt, Anne LePard, Amy Vallee, Chrisana Pokorny, Homaira Rahimi, Bethany Marston, Barbra Murante
University of Rochester Medical Center
Correspondence: Sarah Baluta
A41 IL10 inhibits toll-like receptor-9-induced T cell receptor-mediated T cell activation in macrophage activation syndrome
Matthew Eremita1, Omar Geier2, Matthew Taylor1, Joyce Hui-Yuen1
1Cohen Children’s Medical Center, Queens, NY, USA; 2Feinstein Institutes for Medical Research
Correspondence: Matthew Eremita
A42 Deriving research priorities in neuropsychiatric systemic lupus erythematosus in children
Ekemini Ogbu1, Martha Rodriguez2, Alexandra Theisen3, Simone Appenzeller4, Emily Beil5, Onengiya Harry6, Ryan Kammeyer7, Natoshia Cunningham8, Kristen Fisher5, Marisa Klein-Gitelman9, Eyal Muscal5, Nadine Schwartz10, Sefi Kronenberg11, Paige Seegan12, Lawrence Ng13, Marietta DeGuzman5, Monica Banks14, Angela Killinger14, Mckenna Bowes15, Ellie Rose Killinger14, Sarah Wong14, Kiana Johnson14, Y. Ingrid Goh16, Dhriti Sharma17, Mekibib Altaye18, Susanne Benseler19, Hermine Brunner18, Andrea Knight16, for the CARRA NPSLE Workgroup20
1Cincinnati Children’s Hospital Medical Center, Cincinnati, OH. University of Cincinnati College of Medicine, Cincinnati, OH. Johns Hopkins University, Baltimore, MD, USA; 2Indiana University School of Medicine, Riley Hospital for Children, Indianapolis, Indiana, USA; 3Saint Louis University School of Medicine, SSM Health Cardinal Glennon Children’s Hospital, USA; 4University of Campinas, Sao Paulo, Brazil; 5Baylor College of Medicine, Texas Children’s Hospital, Houston, Texas, USA; 6Atrium Health Wake Forest Baptist, Brenner Children’s Hospital, North Carolina, USA; 7University of Colorado School of Medicine, Children’s Hospital Colorado, USA; 8Michigan State University, Grand Rapids, Michigan, USA; 9Ann & Robert H. Lurie Children’s Hospital of Chicago, Illinois, USA; 10Nationwide Children’s Hospital, Ohio, USA; 11The Hospital for Sick Children and University of Toronto, Canada; 12Johns Hopkins University, Baltimore, MD, USA; 13The Hospital for Sick Children; 14Family Advisory Council, Neuropsychiatric Workgroup, Childhood Arthritis and Rheumatology Research Alliance; 15Family Advisory Council, Neuropsychiatric Workgroup, Childhood Arthritis and Rheumatology Research Alliance. University of Pittsburgh, Pittsburgh, Pennsylvania, USA; 16The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada; 17Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 18Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA. University of Cincinnati College of Medicine, Cincinnati, OH, USA; 19University of Calgary, Calgary, Canada; 20Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Ekemini Ogbu
N | |
---|---|
Pediatric Rheumatologists | 12 |
Pediatric Neuroimmunologists | 2 |
Psychiatrists | 2 |
Psychologists | 2 |
Research Coordinators | 2 |
Family Advisory Council | 6 |
Initial Research Domains | Final Research Domains |
---|---|
Diagnosis | Economic impact |
Treatment | Psychosocial impact |
Clinical course | Epidemiology |
Outcomes | Predictors and Risk factors |
Pathoetiology | |
Biomarkers | |
Classification | |
Diagnosis | |
Treatment | |
Clinical course | |
Outcomes | |
Quality of research studies |
A43 CD169 expression on monocytes is a useful marker for assessing type I interferon status in pediatric inflammatory diseases
Takuya Mimura1, Tadafumi Yokoyama2, Naoto Sakumura2, Masaaki Usami2, Yusuke Matsuda2, Taizo Wada2
1Kanazawa University, Kanazawa, Ishikawa, Japan; 2Kanazawa University
Correspondence: Takuya Mimura
A44 Relationship between brain injury markers and executive function in children with systemic lupus erythematosus and healthy controls
Oscar Mwizerwa1, Justine Ledochowski1, Tala El Tal1, Sarah Mossad1, Victoria Lishak1, Joanna Law1, Lawrence Ng1, Paris Moaf1, Asha Jeyanathan1, Adrienne Davis1, Linda Hiraki1, Deborah Levy1, Joan Wither2, Zahi Touma2, Ashley Danguecan1, Andrea Knight3
1The Hospital for Sick Children, Toronto, Canada; 2UHN; 3The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada
Correspondence: Oscar Mwizerwa
A45 Successful implementation of a mental health screening program for youth with juvenile myositis
Y. Ingrid Goh1, Kayla Baker2, Audrey Bell-Peter2, Vanessa Carbone2, Brian Feldman2, Luana Flores Pereira2, Jayne MacMahon2, Valerio Maniscalco2, Jo-Anne Marcuz2, Greta Mastrangelo2, Tanya Slater2, Kristi Whitney2, Andrea Knight1
1The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada; 2The Hospital for Sick Children, Toronto, Canada
Correspondence: Y. Ingrid Goh
A46 Increased incidence of adverse events and events of special interest with treatment intensification in non-systemic JIA
Paivi Miettunen1, Luca Carlini2, Angela Pistorio2, Violeta Panaviene3, Jordi Anton Lopez4, Sylvia Kamphuis5, Troels Herlin6, Pavla Dolezalova7, Marco Cattalini8, Helga Sanner9, Gordana Susic10, Maria Maggio11, Soad Hashad12, Reem Abdwani13, Donato Rigante14, Ana Rodriquez Lozano15, Chiara Pallotti16, Joost Swart16, Nicolino Ruperto17
1IRCCS Istituto Giannina Gaslini, Pediatric and Rheumatology Clinic, Genoa, Italy; Alberta Children’s Hospital and University of Calgary; 2IRCCS Istituto Giannina Gaslini, Pediatric and Rheumatology Clinic, Genoa, Italy; 3Children’s Hospital, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania; 4Institut de Recerca Sant Joan de Déu - SJD Barcelona Children’s Hospital, Barcelona, Spain; 5Polikliniek Kinderimmunologie en -reumatologie, Sophia Kinderziekenhuis, Erasmus MC - Erasmus Medisch Centrum, Rotterdam, Neatherlands; 6Department of Paediatrics and Adolescent Medicine, Aarhus University Hospital, Aarhus, Denmark; 7Charles University in Prague, Prague, Chech Republic; 8Università degli Studi di Brescia, Brescia (UNIBS), Italy; 9Department of Rheumatology, Oslo University Hospital, Oslo, Norway; 10Institute of Rheumatology Belgrade, Serbia; 11University Department PROMISE “G. D’Alessandro”, University of Palermo, Palermo, Italy; 12Tripoli Children’s Hospital, Tripoli, Libya; 13Sultan Qaboos University, Muscat, Dubai; 14Department of Life Sciences and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy and Università Cattolica Sacro Cuore, Rome, Italy; 15Immunology Department, Instituto Nacional de Pediatría, Mexico City, Mexico; 16CS Istituto Giannina Gaslini, UOSID Centro Trial, PRINTO, Genoa, Italy; 17Istituto Giannina Gaslini,UOC Servizio di Sperimentazioni Cliniche Pediatriche, PRINTO, Genoa, Italy
Correspondence: Paivi Miettunen
A47 Disparities in disease course of children with lupus by neighborhood-level child opportunity
Joyce Chang1, Gabrielle Alonzi1, Emily Smitherman2, Pooja Patel3, Gabrielle Morgan3, Livie Huie2, Karen Costenbader4, Mary Beth Son1
1Boston Children’s Hospital, Boston, MA, USA; 2University of Alabama at Birmingham, Birmingham, AL, USA; 3Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA; 4Mass General Brigham, Boston, MA, USA
Correspondence: Joyce Chang
Unadjusted | Adj. demographics + COI category | Adj. demographics + Location Quotient | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
N=148
| OR | 95% CI |
p
| aOR | 95% CI |
p
| aOR | 95% CI |
p
| |
Age at diagnosis (yr), mean (SD) | 14 (3) |
0.9
|
[0.8 - 1.0]
|
*
|
0.9
|
[0.8 - 1.0]
|
*
|
0.9
|
[0.8 - 1.0]
|
*
|
Female, n (%) | 125 (85) | 0.6 | [0.3 - 1.5] | 0.5 | [0.2 - 1.3] | 0.5 | [0.2 - 1.5] | |||
Race and ethnicity | ||||||||||
Asian, non-Hispanica | 24 (16) | 1.4 | [0.5 - 3.9] | 1.5 | [0.5 - 4.8] | 1.1 | [0.4 - 3.4] | |||
Black | 31 (21) | 1.4 | [0.5 - 3.6] | 1.0 | [0.3 - 3.2] | 0.7 | [0.2 - 2.3] | |||
Hispanic Non-White/Non-Black | 27 (18) | 1.3 | [0.5 - 3.3] | 1.0 | [0.3 - 3.7] | 0.8 | [0.2 - 2.8] | |||
Hispanic White | 8 (5) | 0.1 | [0.0 - 1.3] |
0.1
|
[0.0 - 1.0]
|
*
|
0.1
|
[0.0 - 1.0]
|
*
| |
Other, Non-Hispanicb | 7 (5) | 0.4 | [0.1 - 2.3] | 0.3 | [0.1 - 1.9] | 0.3 | [0.1 - 1.8] | |||
Unknown | 9 (6) | 0.8 | [0.2 - 3.4] | 0.8 | [0.2 - 4.3] | 0.6 | [0.1 - 3.2] | |||
White, Non-Hispanic | 42 (28) | - | [ref] | |||||||
Non-English primary language | 18 (12) | 1.0 | [0.4 - 2.6] | 0.6 | [0.2 - 2.1] | 0.6 | [0.2 - 2.1] | |||
Private vs. Public Insurance | 85 (57) | 0.7 | [0.4 - 1.4] | 0.7 | [0.3 - 1.7] | 0.7 | [0.3 - 1.7] | |||
COI state ranked | ||||||||||
Very Low | 33 (22) | 1.5 | [0.5 - 4.3] | 1.6 | [0.5 - 5.3] | - | ||||
Low | 36 (24) |
2.8
|
[1.0 - 8.1]
|
*
|
4.1
|
[1.2 - 13.4]
|
*
| |||
Moderate | 23 (16) | 1.5 | [0.5 - 4.6] | 3.5 | [0.9 - 13.2] | |||||
High | 30 (20) | 1.6 | [0.6 - 4.7] | 2.1 | [0.7 - 6.7] | |||||
Very High | 26 (18) | - | [ref] | |||||||
Black Location Quotient ≥1.0c | 48 (32) |
2.3
|
[1.1 - 4.8]
|
*
| - |
2.5
|
[1.1 - 5.9]
|
*
| ||
Hispanic Location Quotient ≥1.0c | 53 (36) | 1.6 | [0.8 - 3.2] | - | - |
Univariablea | Multivariable | |||||
---|---|---|---|---|---|---|
β | 95% CI |
p
| β | 95% CI |
p
| |
Child Opportunity Index | ||||||
Very High |
(reference)
| |||||
High | 1.5 | [-0.7, 3.8] | 1.4 | [-0.5, 3.3] | ||
Moderate |
3.0
|
[0.6, 5.5]
|
*
|
2.7
|
[0.7, 4.7]
|
**
|
Low |
3.9
|
[1.8, 6.0]
|
***
|
3.7
|
[2.0, 5.4]
|
***
|
Very Low |
2.7
|
[0.7, 4.7]
|
**
|
2.9
|
[1.3, 4.6]
|
**
|
Insurance status | ||||||
Public | 1.2 | [-0.4, 2.8] | 1.4 | [-0.1, 3.0] | ||
Private |
(reference)
| |||||
Other/Uninsured |
2.1
|
[1.0, 3.2]
|
***
| 1.6 | [0.0, 3.2] | |
Race | ||||||
Asian | 2.3 | [-0.4, 5.1] | 1.1 | [-0.7, 2.9] | ||
Black | 1.8 | [-0.2, 3.8] | -1.2 | [-3.4, 1.1] | ||
Hispanic | 1.0 | [-0.9, 3.0] | -1.7 | [-3.5, 0.1] | ||
Other, non-Hispanic | -0.8 | [-3.0, 1.4] | -0.4 | [-3.7, 2.9] | ||
Unknown | 1.7 | [-2.2, 5.6] | -1.0 | [-3.8, 1.9] | ||
White, non-Hispanic |
(reference)
| |||||
Non-English language | 0.7 | [-1.5, 2.9] | ||||
Age at SLE onset | -0.2 | [-0.4, 0.1] | ||||
Male sex | 0.5 | [-1.0, 2.1] | ||||
Nephritis at presentation |
3.8
|
[2.4, 5.2]
|
***
|
3.1
|
[1.7, 4.5]
|
***
|
Neurologic involvement at presentation |
4.2
|
[1.8, 6.6]
|
***
|
3.4
|
[1.6, 5.2]
|
***
|
Initial SLEDAI-2K at presentation |
0.1
|
[0.0, 0.2]
|
**
| |||
Time (month) |
-0.3
|
[-0.4, -0.2]
|
***
|
-0.3
|
[-0.4, -0.2]
|
***
|
Time-squared |
0.004
|
[0.002, 0.006]
|
***
|
0.004
|
[0.003, 0.006]
|
***
|
A48 Speaking the same language: international cross-validation of emerging biomarkers for juvenile idiopathic arthritis
Grant Schulert1, Rebecca Marsh1, Carine Wouters2, Patrick Matthys3, Dirk Foell4, Scott Canna5, Giusi Prencipe6, Claudia Bracaglia6, Fabrizio De Benedetti6, Dilan Dissanayake7, Ronald Laxer7, Sebastiaan Vastert8, Kelly Brown9, David Cabral9, Christoph Kessel5, For the CARRA FROST Investigators10
1Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 2UZ Leuven, Belgium; 3KU Leuven, Belgium; 4University of Muenster, Germany; 5Children’s Hospital of Philadelphia, Philadelphia, PA, USA; 6Bambino Gesù Children’s Hospital, Rome, Italy; 7Hospital for Sick Children, Toronto, Canada; 8UMC Utrecht, Netherlands; 9British Columbia Children’s Hospital, Vancouver, Canada; 10Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Grant Schulert
A49 Delay in the diagnosis of juvenile idiopathic arthritis in Mexico
Jimena Garcia-Silva, Alondra Correa-Galvan, Ana Leos-Leija, Maria de Lourdes Aldana-Galvan, Ana Villarreal-Treviño, Fernando Garcia-Rodriguez, Nadina Rubio-Perez
Hospital Universitario “Dr. Jose Eleuterio Gonzalez” Universidad Autónoma de Nuevo León; Monterrey, México
Correspondence: Jimena Garcia-Silva
A50 Early biologic use improves disease trajectories in STOP-JIA patients through 3 years
Mei Sing Ong1, Sarah Ringold2, Marc Natter3, George Tomlinson4, Laura Schanberg5, Brian Feldman6, Vincent Del Gaizo7, Yukiko Kimura8, for the CARRA STOP-JIA Investigators7
1Harvard Medical School & Harvard Pilgrim Health Care Institute, Boston, MA, USA; 2Seattle Children’s Hospital, Seattle, WA, USA; 3Boston Children’s Hospital, Boston, MA, USA; 4University of Toronto, Toronto, Ontario, Canada; 5Duke University School of Medicine, Durham, NC USA; 6The Hospital for Sick Children, Toronto, Ontario, Canada; 7Childhood Arthritis and Rheumatology Research Alliance (CARRA); 8Hackensack Meridian Health, Hackensack, NJ, USA
Correspondence: Mei Sing Ong
A51 Physician perspectives on multidisciplinary lupus nephritis clinics
Anita Dhanrajani1, Rebecca Sadun2, for the CARRA Investigators3
1Children’s Hospital of New Orleans, New Orleans, LA, USA; 2Duke University School of Medicine, Durham, NC, USA; 3Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Anita Dhanrajani
Pediatric Specialists
| |||||
Rheumatologist
|
Nephrologist
|
Adolescent medicine
|
Pulmonologist
|
Dermatologist
|
Other
|
16 | 16 | 2 | 1 | 1 | 1 (Pediatric & adolescent gynecologist) |
Allied Health Professionals
| |||||
Psychologist
|
Physical Therapist
|
Occupational Therapist
|
Pharmacist
|
Dietitian
|
Social worker
|
1 | 2 | 1 | 2 | 3 | 8 |
Trainees/Advance Practice Providers
| |||||
Rheumatology fellow
|
Nephrology fellow
|
Pediatric resident
|
Physician assistant
|
Nurse practitioner
|
Other
|
11 | 10 | 9 | 1 | 1 | 1 (Gynecology fellow) |
A52 Baseline clinical features and biomarker profiles of the childhood arthritis and rheumatology research alliance (CARRA) systemic juvenile idiopathic arthritis-associated lung disease (SJIA-LD) Cohort
Esraa Eloseily1, Autumn Clark2, Min-Lee Chang3, MaryEllen Riordan4, Alan Russell5, Marc Natter3, Sherry Thornton6, Yukiko Kimura4, Grant Schulert7, for the CARRA Registry SJIA-LD Cohort Investigators8
1Cincinnati Children’s Hospital, Cincinnati, OH, USA; 2Cincinnati Children’s Hospital Medical Center Burnet Campus: Cincinnati Children’s Hospital Medical Center; 3Boston Children’s Hospital, Boston, MA USA; 4Hackensack Meridian Health, Hackensack, NJ, USA; 5Duke Clinical Research Institute, Durham, NC USA; 6University of Cincinnati, Cincinnati, OH, USA; 7Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 8Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Esraa Eloseily
Clinical feature (N=37) | Summary or median (IQR) |
Sex, n,% | 23, 62% F |
Age at SJIA onset, median | 1 years (0.5-5) |
Age at LD onset, median | 4 years (2-8) |
LD duration | 23 months (18-28) |
SJIA duration | 74 months (42-107) |
LD duration at enrollment, median (IQR) | 28 months (7-46) |
SJIA duration at LD diagnosis, median (IQR) | 21.5 months (10.25-35.75) |
SJIA disease duration at enrollment, median (IQR) | 55 months (24-83) |
LD Category | 52% definite LD 33% probable LD 11% suspected LD |
Clinical features at LD diagnosis | 53% cough 47% clubbing 47% dyspnea on exertion 34% tachypnea 29% hypoxia 21% digital erythema |
Baseline chest CT findings (n=35) | 54.3% ground glass opacities 40% septal thickening 37% peribronchovascularthickening 22.9% peripheral consolidation 20% hilar adenopathy 20% pleural thickening |
Pulmonary function tests (n=19) | 54.4% abnormal DL 41.2% abnormal spirometry 6.5% abnormal pulse oximetry |
Patient assessment of disease activity, median (IQR) | 1 (3.8) |
PGA, median (IQR) | 0.8 (1.5) |
PGALD, median (IQR) | 3 (3) |
Health Related quality of life | 3 (13%) Excellent 9 (39%) Very good 4 (17.4%) Good 7 (30.4%) Fair |
Select Labs at baseline visit
|
Median (IQR)
|
White blood cell count | 8.8x109/L (6.8-13.4) |
Hemoglobin | 11.6 g/dL (10.6-12.7) |
Platelet count | 316.5 109/L (256.8-416) |
ESR | 9 mm/hr(5-23) |
CRP | 0.5 mg/dL (0.25-1.5) |
Ferritin | 56 ng/ml (29-121) |
IL-18 | 24,336 pg/mL (4,147-49,275) |
Medication used
|
Summary
|
csDMARDsever used | Methotrexate 45.7% Cyclosporin A 45.7% |
bDMARDsand tsDMARDsever used | Anakinra 82.9% Canakinumab 57% Tofacitinib 57% Tocilizumab 46% |
Taking oral steroids at baseline visit, Median dose (IQR) | 42.9%, 6 mg/day (3-10) |
A53 Implementation of pneumococcal vaccination in pediatric patients with systemic lupus erythematosus: quality improvement initiative
Julia Klauss1, Lauren Robinson2, Leanne Mansfield3, Karen Onel1, Nancy Pan2
1Hospital for Special Surgery, New York, NY, USA; 2Weill Cornell Medical College, Hospital for Special Surgery, New York, NY; 3Division of Allergy, Immunology, and Rheumatology, University of Wisconsin School of Medicine and Public Health, Madison, WI
Correspondence: Julia Klauss
A54 Update on the child/adolescent lupus: understanding etiology (CLUE) study
Linda Hiraki1, Susan Thompson2, Laura Lewandowski3, for the CARRA Registry Investigators4
1The Hospital for Sick Children, Toronto, Ontario, Canada; 2Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 3National Institute of Arthritis and Musculoskeletal and Skin Diseases, NIH, Bethesda, MD, USA; 4Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Linda Hiraki
A55 The relationship between resilience and executive functioning in a cross-sectional sample of youth with childhood-onset systemic lupus erythematosus
Ashley Danguecan1, Isabella Zaffino1, Joanna Law1, Kiah Reid1, Angela Cortes1, Eugene Cortes1, Sandra Williams-Reid1, Adrienne Davis1, Asha Jeyanathan1, Sona Sandhu1, Lawrence Ng1, Paris Moaf1, Deborah Levy1, Linda Hiraki1, Andrea Knight2
1The Hospital for Sick Children, Toronto, Ontario, Canada; 2The Hospital for Sick Children and SickKids Research Institute, Toronto, Ontario, Canada
Correspondence: Ashley Danguecan
Demographic Characteristic | Descriptive Statistics |
Age in years, mean (SD) | 15.2 (1.8) |
Female sex, n (%) | 22 (88%) |
Race, n (%) | |
Asian | 16 |
Black | 3 |
White | 4 |
Other | 2 |
Household Income, # above the poverty line (%) | 20 (80%) |
Clinical Characteristics
| |
Disease Duration in months, mean (SD) | 33.0 (31.2) |
Active Disease (SLEDAI-2K >4), n (%) | 12 (48%) |
Presence of Disease Damage (SDI >0), n (%) | 0 |
Behavior Regulationa | Emotion Regulationa | Cognitive Regulationa | |
---|---|---|---|
Adjusted β, 95% CI, p-value
| |||
Predictor: Individual Psychological Resilience (CD-RISC total score) | -.120 (-1.64, .94), p=.580 | .248 (-1.46, .39), p=.242 |
-.443 (-2.23, -.10), p=.033*
|
Disease Duration | -.156 (-.35, .17), p=.468 | -.272 (-.30, .07), p=.201 | -.193 (-.32, .11), p=.332 |
Adjusted β, 95% CI, p-value
| |||
Predictor: Social-Ecological Resilience (CYRM-R total score) | -.334, (-1.96, .28), p=.136 | -.163 (-1.28, .61), p=.474 | -.419 (-2.14, .05), p=.061 |
Disease Duration (months) | -.263 (-.42, .11), p=.235 | -.303 (-.33, .07), p=.190 | -.293 (-.39, .08), p=.181 |
A56 Implementation assessment of a treat to target strategy for lupus in the pediatric rheumatology clinic
Emily Smitherman1, Julia Harris2, Aimee Hersh3, Jennifer Huggins4, Livie Huie1, Jon Burnham5
1University of Alabama at Birmingham, Birmingham, AL, USA; 2Children’s Mercy Kansas City, Kansas City, MO, USA; 3University of Utah, Salt Lake City, UT, USA; 4Cincinnati Children’s Medical Center, Cincinnati, OH, USA; 5Children’s Hospital of Philadelphia, Philadelphia, PA, USA
Correspondence: Emily Smitherman
Implementation Phase 1 | SLEDAI-2K completion |
New disease activity attestation | |
Physician global assessment (0-3) completion | |
Prednisone (or equivalent) dose documented | |
Standard medication dose attestation |
Site | Providers | Trainees | Mid Level Providers | Patients with cSLE seen in 2022 | EHR Vendor |
---|---|---|---|---|---|
1 | 18 | Yes | Yes | 110 | Epic |
2 | 11 | Yes | No | 150 | Epic |
3 | 8 | No | No | 91 | Cerner |
4 | 5 | Yes | Yes | 73 | Allscripts |
5 | 7 | Yes | Yes | 75 | Cerner |
A57 Adalimumab use, deprescribing strategies, and quality of life within the CARRA registry among those with well-controlled JIA
Anna Sutton1, Abner Nyandege2, Melissa Mannion3, Timothy Beukelman4, Brian Feldman5, Liangyuan Hu2, Marinka Twilt6, Ruud Verstegen5, Daniel Horton2, for the CARRA Registry Investigators7
1University of Washington School of Public Health; 2Rutgers University, New Brunswick, NJ, USA; 3University of Alabama at Birmingham, Birmingham, AL, USA; 4University of Alabama at Birmingham, Birmingham, AL, USA; Childhood Arthritis and Rheumatology Research Alliance (CARRA), Washington, DC, USA; 5The Hospital for Sick Children, Toronto, Ontario, Canada; 6University of Calgary, Alberta Children’s Hospital, Calgary, AB, Canada; 7Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Anna Sutton
Characteristics | N (unless noted otherwise) | % (unless noted otherwise) |
---|---|---|
Demographics | ||
Age at JIA diagnosis | 7.6 (mean) | 5.0 (SD) |
Age at index visit | 11.8 (mean) | 4.7 (SD) |
Female sex | 579 | 67.2 |
Race/Ethnicity | ||
White | 666 | 77.3 |
Hispanic/Latino | 59 | 6.8 |
Asian | 24 | 2.8 |
Black | 22 | 2.6 |
Other | 89 | 10.5 |
Country | ||
US | 811 | 94.1 |
Canada | 37 | 4.3 |
Other/unknown | 14 | 1.6 |
Index year | ||
2016-2018 | 219 | 25.5 |
2019-2020 | 395 | 45.8 |
2021-2022 | 248 | 28.8 |
Disease | ||
JIA category | ||
Oligoarthritis | 293 | 34.0 |
RF- polyarthritis | 271 | 31.4 |
Enthesitis-related arthritis | 136 | 15.8 |
Psoriatic arthritis | 86 | 10.0 |
RF+ polyarthritis | 48 | 5.6 |
Undifferentiated arthritis | 28 | 3.2 |
ANA+ | 406 | 47.1 |
Uveitis | 226 | 26.2 |
Psoriasis | 73 | 8.5 |
Sacroiliac joint arthritis | 64 | 7.4 |
TMJ arthritis | 44 | 5.1 |
Medications | ||
Medications at index date | ||
Methotrexate | 428 | 49.7 |
Other cDMARD | 44 | 5.1 |
Prior non-adalimumab bDMARD use | 224 | 26.0 |
Adalimumab regimen at index | ||
Every other week | 747 | 86.7 |
Weekly | 115 | 13.3 |
Humira (vs. biosimilar) | 849 | 99.8 |
Prior adalimumab use (days) | 616 (median) | 443, 957 (IQR) |
N=862 (%)
| Years follow-up time, median (IQR) | |
---|---|---|
Treatment groupsa | ||
Continued adalimumab use | 808 (93.7%) | 1.05 (0.46, 2.00) while continuing |
Stop without taper | 213 (24.7%) | 0.88 (0.44, 1.56) until stopping |
Taper | 123 (14.3%) | 0.96 (0.52, 1.56) until tapering |
0.49 (0.26, 0.94) while tapering | ||
Tapering characteristics |
N
=123 (%)
| |
Baseline adalimumab regimen | ||
Every other week | 98 (79.7%) | |
Weekly | 25 (20.3%) | |
Number of observed taper steps before stopping or end of follow-up | ||
One | 103 (83.7%) | |
Two | 15 (12.2%) | |
Three | 1 (0.8%) | |
Four | 3 (2.4%) |
PRO1 | Continue (N=363) | Stop without taper (N=122) | Taper (N=75) | ||||
---|---|---|---|---|---|---|---|
Mean | Median (IQR) | Mean | Median (IQR) | Mean | Median (IQR) |
P-value2
| |
Quality of life | 4.30 | 4 (4, 5) | 4.39 | 5 (4, 5) | 4.57 | 5 (4, 5) | 0.02 |
General health | 3.99 | 4 (3, 5) | 4.05 | 4 (3, 5) | 4.28 | 4 (4, 5) | 0.02 |
Physical health | 3.91 | 4 (3, 5) | 4.10 | 4 (3, 5) | 4.25 | 4 (4, 5) | 0.001 |
Mental health | 4.05 | 4 (3, 5) | 4.00 | 4 (3, 5) | 4.24 | 5 (4, 5) | 0.51 |
Summary T-score3 | 41.0 | 41.7 (37.9, 45.4) | 42.3 | 42. 9 (38.8, 45.7) | 43.2 | 43.9 (38.8, 47.5) | 0.004 |
A58 Diagnosis, treatment, and functional outcomes for two adolescent female patients with lupus myelitis
Cristina Saez1, Deanna Claus1, Andrew McCoy2, Gabriel Tarshish1, Cristina Sarmiento1
1University of Colorado, Aurora, CO, USA; 2Children’s Hospital of Philadelphia, Philadelphia, PA, USA
Correspondence: Cristina Saez
Patient 1 | Patient 2 | |
---|---|---|
Demographic Characteristics
| ||
Age (years) | 12 | 15 |
Sex (assigned at birth) | Female | Female |
Past medical history | None | Aseptic meningitis at age 9, Depression |
Prodromal signs and symptoms | Preceding upper respiratory illness, fatigue, musculoskeletal pain | Headache, neck stiffness, fever, rash |
Acute Care Management
| ||
Total length of acute care admission | 24 days | 17 days |
Clinical findings on presentation | Urinary retention, lower extremity weakness, areflexia | Lower extremity weakness, areflexia, bowel and bladder incontinence |
MRI findings | T2 hyperintensity nearly the entire length of spinal cord, greatest in central gray matter, including non- enhancing T2 hyperintensity in the upper cervical spinal cord extending into the cervicomedullary junction | Scattered T2 signal abnormalities throughout, extending from T1 to conus medullaris; faint cranial nerve (V, VI, VII) and increased sulcal enhancement in brain |
Cerebrospinal fluid findings | WBC count: 93 cells/mm3 Glucose: 22 mg/dL Protein: >200 mg/dL | WBC count: 119 cells/mm3 Glucose: 39 mg/ dL Protein: 49 mg/ dL |
Notable serologic findings | + ANA + Anti-dsDNA Ab + Anti-RNP Ab + Anti-Smith Ab + Beta 2 glycoprotein immunoglobulin G Ab Low C3, low C4 Elevated ESR Pancytopenia | + ANA + Anti-dsDNA Ab + Anti-RNP Ab + SSA Ab + Ribosomal P Ab + Coombs Low C3, low C4 |
Acute immunomodulatory treatment | IV methylprednisolone 1000 mg (HD # 8, 9, 10) IVIG 0.765 g/kg (HD # 4, 5, 6) Cyclophosphamide 500 mg (HD # 10, 23, 37, 50, 71) Rituximab induction 1000 mg (HD # 9, 24) Plasmapheresis (HD # 13, 15, 17, 22) | Corticosteroids IV 1000 mg (HD # 3, 4, 5, 6, 7) IVIG 1 g/kg (HD # 64,65) Cyclophosphamide 1,200 mg (750/m2) (HD # 12, 41, 66, 82, 123, 151) Rituximab induction 1000 mg (HD # 14, 27) Plasmapheresis (HD # 4, 5, 7, 9, 11) |
A59 Exploring depressive symptoms as a mediator of change in fatigue in individuals with childhood-onset lupus
Beyan Sannah1, Michelle Adler1, Khalid Abulaban2, Elizabeth Kessler2, Andrea Knight3, Natoshia Cunningham1
1Michigan State University, Grand Rapids, Michigan, USA; 2Helen DeVos Children’s Hospital; 3The Hospital for Sick Children and SickKids Research Institute, Toronto, Ontario, Canada
Correspondence: Michelle Adler
Min | Max | Mean | SD | Fatigue-T1 | Fatigue-T2 | Fatigue-T3 | Mood-T1 | Mood-T2 | Mood-T3 | |
---|---|---|---|---|---|---|---|---|---|---|
Age | 12 | 20 | 16.71 | 2.04 | 0.019 | 0.163 | 0.017 | 0.144 | 0.161 | 0.055 |
Fatigue-T1 | 40.90 | 78.50 | 61.09 | 6.99 | -- | 0.588* | 0.387* | 0.380* | 0.188 | 0.61 |
Fatigue-T2 | 34.30 | 77.80 | 55.63 | 7.72 | 0.588* | -- | 0.556* | 0.331* | 0.428* | 0.159 |
Fatigue-T3 | 38.50 | 73.20 | 55.51 | 7.399 | 0.387* | 0.556* | -- | 0.291* | 0.441* | 0.537* |
Mood-T1 | 38.70 | 85.00 | 64.31 | 10.88 | 0.380* | 0.331* | 0.291* | -- | 0.637* | 0.510* |
Mood-T2 | 37.00 | 83.00 | 85.06 | 11.29 | 0.188 | 0.428* | 0.441* | 0.637* | -- | 0.761* |
Mood-T3 | 37.00 | 89.60 | 56.88 | 11.62 | 0.61 | 0.159 | 0.537* | 0.510* | 0.761* | -- |
Model | Predictor | Variable |
R
2
|
F
|
β
|
p
|
---|---|---|---|---|---|---|
1 | Fatigue-T1 | Fatigue-T3 | 0.150 | 10.039 | 0.387 | 0.002 |
2 | Fatigue-T1 | Mood-T2 | 0.035 | 1.871 | 0.188 | 0.177 |
3 | Fatigue-T1 | Fatigue-T3 | 0.315 | 11.427 | 0.353 | 0.005 |
Mood-T2 | 0.374 | 0.003 |
A60 Metabolomic profiling of plasma from children with juvenile idiopathic arthritis
Colleen Correll, Kevin Murray, Rick Jansen
University of Minnesota
Correspondence: Colleen Correll
A61 CD14+ monocytes and CD8+ T cells demonstrate unique transcriptional signatures in macrophage activation syndrome, highlighting roles for interferons in monocytes and activation or exhaustion of cytotoxic T cells
Susan Canny1, Hannah DeBerg2, Griffin Gessay2, Ailing Lu3, Mary Eckert4, Andrea La Bella5, Susan Shenoi4, Joyce Hui-Yuen3, Betsy Barnes3, Jessica Hamerman2
1University of Washington, Seattle, WA, USA; 2Benaroya Research Institute; 3Feinstein Institutes for Medical Research; 4Seattle Children’s Hospital, Seattle, WA, USA; 5Northwell Health
Correspondence: Susan Canny
A62 Adolescents’ perception of the transition from pediatric to adult rheumatology
Julia Witowska, Brett Curtis, Melanie Donahue, Sara Platte, Rebecca Northway, Jacqueline Madison
University of Michigan, Ann Arbor, MI, USA
Correspondence: Julia Witowska
Theme | Representative Quotes |
---|---|
Transition preparedness | “I think the transition should be slowed down, with the adult rheumatologist being assigned to the patient before their last appointment with pediatrics” |
“Letting patients know from the beginning when they will be expected to transition…before their last appointment with the pediatric specialist” | |
“My transition was discussed during the last day of seeing my pediatric rheumatologist. I had no time to process my transition” | |
Relationship with providers | “The process itself should include going from the pediatric doctor to the same adult doctor if possible. It would make it easier on the young adult because they are comfortable with that doctor” |
“I feel like I knew my pediatric doctor really well and felt comfortable with her. It seemed like adult rheumatology felt less comfortable and inviting as well as hard to communicate with and connect with the new doctors” | |
“The number one thing that my pediatric doctor told me was that adult rheumatology was not going to care as much as pediatric doctors will. He just wanted me to be prepared and to take control of my disease and be vocal about how I am feeling and what I need” | |
“From personal experience, it is difficult to be the youngest patient your adult rheumatologist treats… I have JIA, a primary pediatric illness. Does my illness have a place in adult rheumatology?” | |
System factors | “Offer all patients transitioning to adult rheumatology the opportunity to have a transition clinic” |
“My experience was smooth, but had I not been referred and kept in system, it would have been different” | |
“Pediatric facilities are bright and inviting. Adult facilities are dull colored and not as welcoming. If adult facilities were to change that, it would help with the transition process” | |
“I had to facilitate the transfer myself, decide who I wanted to see as a provider, and request a referral to be sent for the physician. I think this should be a more structured process” |
A63 Increased levels of psychological distress, depression and anxiety symptoms in children with pediatric rheumatologic diseases
Erin Treemarcki1, Natalie Rosenwasser2, Tamar Rubinstein3, Natoshia Cunningham4, Aimee Hersh1, Andrea Knight5
1University of Utah, Salt Lake City, UT, USA; 2Seattle Children’s Hospital, Seattle, WA, USA; 3Albert Einstein College of Medicine, Bronx, NY; Children’s Hospital at Montefiore, Bronx, NY, USA; 4Michigan State University, Grand Rapids, Michigan, USA; 5The Hospital for Sick Children and SickKids Research Institute, Toronto, Ontario, Canada
Correspondence: Erin Treemarcki
Patient Characteristics | |
---|---|
Age, Years (Mean, SD) | 13.5 (2.7) |
Sex (N, %) | |
Female | 98 (68.1) |
Male | 46 (32.0) |
Diagnosis (N, %) | |
JDM | 3 (2.7) |
JIA | 136 (90.7) |
SLE | 10 (6.7) |
Complete (N) | Mean T-Score (SD) | Score >60 (N, %) | Mean Score (IQR) | Positive Screen (N, %) | |
---|---|---|---|---|---|
Psychological Stress Experiences | 150 | 57.28 (9.21) | 51 (34.0) | ||
Physical Stress | 148 | 57.84 (10.01) | 61 (41.2) | ||
Perceived Stress | |||||
Age 13-17 (Self) | 97 | 51.01 (10.77) | 19 (19.6) | ||
Age 8-12 (Parent) | 49 | 48.62 (12.22) | 8 (16.3) | ||
Depressive Symptoms | 146 | 52.99 (10.91) | 35 (24.0) | ||
PHQ-9 (Age 11-17) | 116 | 6.68 (2.00, 11.00) | Mild: 25 (21.6) Moderate: 17 (14.7) Moderately Severe: 11 (9.5) Severe: 6 (5.2) | ||
SCARED | 143 | 24.71 (12.00, 36.50) | Score 25+: 65 (45.5) Score 30+: 54 (37.8) |
Measure | Pearson Correlation Coefficient (P) |
---|---|
Physical Stress | 0.739 (0.14) |
Perceived Stress | |
Age 13-17 (Self) | 0.872 (<0.05) |
Age 8-12 (Parent) | 0.682 (<0.05) |
Depressive Symptoms | 0.858 (<0.05) |
PHQ-9 (Age 11-17) | 0.801 (<0.05) |
SCARED | 0.702 (<0.05) |
COVID VAS | 0.437 (<0.05) |
A64 Effects of sex and site of origin on osteoclast formation and activity
Michael Christof1, Kiana Chen2, Xi Lin2, Lianping Xing2, Homaira Rahimi2
1University of Rochester, Rochester, NY, USA; 2University of Rochester Medical Center, Rochester, NY, USA
Correspondence: Michael Christof
A65 Characterization of the youngest cohort with non-systemic juvenile idiopathic arthritis: demographics and medication use of patients ≤2 years of age in the childhood arthritis and rheumatology research alliance registry
Christina Gulla1, Tara Lozy2, Daniel Choi3, Ginger Janow4, for the CARRA Registry Investigators5
1Hackensack University Medical Center, Hackensack, NJ, USA; 2Center for Discovery and Innovation, Nutley, NJ, USA; 3Hackensack Meridian School of Medicine, Nutley, NJ, USA; 4Joseph M. Sanzari Children’s Hospital at Hackensack Meridian Health, Hackensack, NJ, USA; 5Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Christina Gulla
Total diagnosed with non-sJIA 0-35 months of age (n = 1,458) | Started TNFi 0-35 months of age (n = 259) | Did not ever start TNFi (n = 569) | Started TNF after 35 months of age (n = 630) |
p-value
| |
---|---|---|---|---|---|
Age at diagnosis (month), median (IQR) | 22 (19 - 26) | 21 (18 - 24) | 22 (19 - 26) | 23 (19 - 26) | <0.01 |
Disease duration at time of enrollment (month), median (IQR) | 43 (5 - 100) | 13 (2 - 58) | 19 (2 - 68) | 75 (33 - 130) | <0.01 |
Duration of Follow Up Visits (months), median (IQR) | 36 (24 - 48) | 36 (18 - 48) | 30 (12 - 42) | 36 (24 - 48) | <0.01 |
Race / Ethnicity, white n (%) | |||||
White | 1,169 (80.2) | 208 (80.3) | 443 (78.0) | 518 (82.2) | 0.08 |
Gender, female n (%) | |||||
Female | 1,238 (84.9) | 216 (83.4) | 468 (82.3) | 554 (87.9) | 0.02 |
JIA classification (n, %)
| <0.01 | ||||
Enthesitis related arthritis | 18 (1.2) | 2 (0.8) | 5 (0.9) | 11 (1.8) | |
Oligoarthritis | 831 (57.0) | 87 (33.6) | 414 (72.8) | 330 (52.4) | |
Polyarthritis (RF -) | 480 (32.9) | 132 (51.0) | 119 (20.9) | 229 (36.4) | |
Polyarthritis (RF +) | 20 (1.4) | 5 (1.9) | 7 (1.2) | 8 (1.3) | |
Psoriatic arthritis | 87 (6.0) | 30 (11.6) | 16 (2.8) | 41 (6.5) | |
Undifferentiated arthritis | 22 (1.5) | 3 (1.2) | 8 (1.4) | 11 (1.8) | |
Joint count, n (%)
| <0.01 | ||||
< 5 | 708 (48.6) | 91 (35.1) | 382 (67.1) | 235 (37.3) | |
≥ 5 | 717 (50.6) | 167 (64.5) | 182 (32.0) | 388 (61.6) | |
+ HLA B27, n (%) | 53 (3.6) | 6 (2.3) | 20 (3.5) | 27 (4.3) | 0.38 |
+ANA, n (%) | 943 (65.2) | 170 (66.2) | 363 (64.3) | 410 (65.6) | 0.88 |
+anti CCP, n (%) | 30 (2.1) | 10 (3.9) | 11 (2.0) | 9 (1.4) | 0.31 |
+Rheumatoid factor, n (%) | 23 (2.1) | 7 (3.3) | 5 (1.2) | 11 (2.3) | 0.20 |
Glucocorticoid | 987 (67.7) | 166 (64.1) | 354 (62.2) | 467 (74.1) | <0.01 |
Methotrexate | 1194 (81.9) | 241 (93.1) | 378 (66.4) | 575 (91.3) | <0.01 |
Other Biologic | 176 (12.1) | 37 (14.3) | 30 (5.3) | 109 (17.3) | <0.01 |
Non-biologic DMARD | 147 (10.1) | 16 (6.2) | 39 (6.9) | 92 (14.6) | <0.01 |
TNFi started at 0-35 months | ||||
---|---|---|---|---|
Within 3 mo diagnoses (n=82) | 4-8 mo after diagnoses (n=89) | 10-14 mo after diagnoses (n=70) |
p-value
| |
Total number of active joints, median (IQR)
| 5 (3 - 7) | 1 (0 - 2) | 0 (0 - 1) | <0.01 |
Total
| 79 | 87 | 67 | |
Total # of joints with limited range of motion, median (IQR)
| 3 (1 - 6) | 0 (0 - 1.8) | 0 (0 - 1) | <0.01 |
Total
| 74 | 84 | 66 | |
Abnormal C-Reactive Protein value, n (%)
| 28 (57.1) | 4 (11.8) | 2 (8.7) | 0.02 |
Total
| 49 | 55 | 23 | |
Abnormal ESR value, n (%)
| 34 (66.7) | 7 (18.4) | 2 (8.0) | <0.01 |
Total
| 51 | 51 | 25 | |
CHAQ disability index score, median (IQR)
| 0.8 (0.3 - 1.5) | 0.2 (0 - 0.8) | 0.1 (0 - 0.6) | <0.01 |
Total
| 73 | 68 | 53 | |
JADAS 10 (IQR)
| 15.5 (10 - 20) | 3 (1 - 7) | 1 (0 - 3.4) | <0.01 |
Total
| 74 | 76 | 56 |
A66 Variability in vaccination practices in children with rheumatic diseases: results of a rheumatology provider childhood arthritis and rheumatology research alliance (CARRA)-wide survey
Randal Desouza1, Merav Heshin Bekenstein2, Maria Schletzbaum3, Beth Rutstein4, Nora Singer5, Melanie Kohlheim6, Vincent Del Gaizo6, Kelly Wise7, Melica Nikahd8, Guy Brock8, Rebecca Sadun9, Monica Ardura10, Vidya Sivaraman1, For the CARRA Investigators6
1Nationwide Children’s Hospital, Columbus, OH, USA; 2Tel Aviv Medical Center; 3Washington University School of Medicine; 4Children’s Hospital of Philadelphia, Philadelphia. PA, USA; 5Metro Health; 6CARRA; 7Nationwide Children’s Hospital, Columbus, OH, USA; 8The Ohio State University; 9Duke University School of Medicine, Durham, NC, USA; 10Nationwide Children’s Hospital/ The Ohio State University
Correspondence: Vidya Sivaraman
A67 Preliminary findings of a community-based caregiver survey of pain, pain interference, and physical and emotional functioning in juvenile arthritis
Daniella Schocken1, Kathleen Carluzzo2, Susmita Kashikar-Zuck1, Erin Knight2, Andrea Ring3, Jennifer Weiss4, Karen Schifferdecker5, for the CARRA Pain Committee6
1Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA; 2Center for Program Design and Evaluation, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA; 3Arthritis Foundation, Atlanta, GA, USA; 4Hackensack University Medical Center, Hackensack, NJ, USA; 5The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine, Dartmouth College, Hanover, NH, USA; 6Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: Daniella Schocken
A68 Sticking the landing: a 3-year qualitative longitudinal study on navigating transitions in pediatric rheumatology fellowship
Sarah Bayefsky, Hannah Anderson, Dorene Balmer, Jay Mehta
Children’s Hospital of Philadelphia / University of Pennsylvania, Philadelphia, PA, USA
Correspondence: Sarah Bayefsky
A69 Characterizing JIA patients with persistent pain in the absence of active joint disease
Daniella Schocken, Tracy Ting, Susmita Kashikar-Zuck
Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
Correspondence: Daniella Schocken
A70 Factors driving disparities in glucocorticoid exposure among children with SLE in the CARRA registry
William Soulsby1, Rebecca Olveda1, Jie He2, Laura Berbert2, Edie Weller2, Kamil Barbour3, Kurt Greenlund3, Laura Schanberg4, Emily von Scheven1, Aimee Hersh5, Mary Beth Son2, Joyce Chang2, Andrea Knight6, for the CARRA Registry Investigators7
1University of California, San Francisco, CA, USA; 2Boston Children’s Hospital, Boston, MA, USA; 3Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA; 4Duke University School of Medicine, Durham, NC USA; 5University of Utah, Salt Lake City, UT, USA; 6The Hospital for Sick Children and SickKids Research Institute, Toronto, Canada; 7 Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: William Soulsby
Total
N=540
| Asian
N=58
| Black
N=146
| Latino/a
N=124
| Other
N=30
| White
N=135
| More than one race
N=47
| |
---|---|---|---|---|---|---|---|
Age at enrollment (years), median (IQR) | 15 (12, 16) | 15 (12,16) | 15 (13, 17) | 15 (13,16) | 15 (12, 16) | 15 (13, 16) | 14 (11,16) |
Female sex, N (%) | 467 (87) | 41 (81) | 127 (87) | 107 (86) | 25(83) | 119 (88) | 42(89) |
Insurance, N (%) | |||||||
Private | 257 (48) | 40 (69) | 50 (35) | 32 (26) | 18 (60) | 90 (67) | 27 (58) |
Public | 248 (46) | 16 (27) | 92 (63) | 77 (62) | 12(40) | 35 (26) | 16 (34) |
Other/Non-U.S. | 19 (3) | 1 (2) | 2 (1) | 6 (5) | 0 (0) | 8 (6) | 2 (4) |
None | 16 (3) | 1 (2) | 2 (1) | 9 (7) | 0 (0) | 2 (1) | 2 (4) |
Area Deprivation Indexa (ADI), N (%) | |||||||
0-25%ile | 169 (31) | 37 (64) | 18 (12) | 38 (31) | 14 (47) | 45 (33) | 17 (36) |
26-50%ile | 144 (27) | 17 (29) | 29 (20) | 38 (30) | 6 (20) | 39 (29) | 15 (32) |
51-75%ile | 114 (21) | 3 (5) | 39 (27) | 28 (23) | 7 (23) | 30 (22) | 7 (15) |
76-100%ile | 113 (21) | 1 (2) | 60 (41) | 20 (16) | 3 (10) | 21 (16) | 8 (17) |
Major Organ Involvement, N (%) | |||||||
CNS | 78 (14) | 6 (10) | 26 (18) | 13 (11) | 9 (30) | 11 (8) | 13 (28) |
Renal | 277 (51) | 24 (41) | 83 (57) | 61 (49) | 16 (53) | 68 (50) | 25 (53) |
CV/Pulm | 152 (28) | 12 (21) | 56 (38) | 35 (28) | 5 (17) | 32 (24) | 12 (27) |
Baseline Medication, N (%) | |||||||
Belimumab | 43 (8) | 3 (5) | 20 (14) | 5 (4) | 2 (7) | 9 (7) | 4 (9) |
Conventional DMARDb | 462 (86) | 53 (91) | 125 (86) | 102 (82) | 28 (93) | 115 (85) | 39 (83) |
Rituximab or Cyclophosphamide | 163 (30) | 13 (22) | 59 (40) | 34 (27) | 10 (33) | 27 (20) | 20 (43) |
Anti-malarial | 523 (97) | 54 (93) | 144 (99) | 120 (97) | 30 (100) | 129 (96) | 46 (98) |
Any secondary rheumatologic disease, N (%) | 63 (12) | 6 (10) | 22 (15) | 9 (7) | 4 (13) | 16 (12) | 6 (13) |
Time from diagnosis to enrollment (years), median (IQR) | 0.4 (0.1, 1.2) | 0.8 (0.1, 2.0) | 0.4 (0.1, 1.4) | 0.3 (0.1, 0.8) | 0.3 (0.1, 1.0) | 0.4 (0.1, 1.2) | 0.3 (0.1, 1.2) |
Duration of Registry follow-up time (years), median (IQR) | 2.1 (1.3, 2.8) | 2.4 (1.8, 2.9) | 1.9 (1.0, 2.7) | 2.1 (1.3, 2.7) | 2.1 (1.5, 2.7) | 2.2 (1.3, 2.9) | 2.0 (1.1, 3.0) |
Time adjusted mean prednisone dose (mg), median (IQR) | 6.6 (1.7, 12.6) | 4.1 (0, 7.4) | 8.3 (3.5, 19.0) | 6.5 (1.9, 12.5) | 5.9 (2.6, 9.9) | 6.4 (0.2, 11.4) | 6.5 (1.4, 13.5) |
Any prednisone restart or dose increase during study period, N (%) | 199 (37) | 19 (33) | 66 (45) | 42 (34) | 13 (43) | 43 (32) | 16 (34) |
Value | Unadjusted β (95% CI) | Adjusted β (95% CI) |
---|---|---|
Race and Ethnicity | ||
Asian | -2.32 (-5.42, 0.79) | -1.16 (-4.18, 1.86) |
Black |
3.24 (0.88, 5.60)
**
| 1.43 (-0.97, 3.84) |
Latino/a | 0.25 (-2.21, 2.71) | -0.79 (-3.23, 1.66) |
More than one | 0.11 (-3.24, 3.46) | -0.14 (-3.36, 3.09) |
Other | -1.33 (-5.32, 2.66) | -1.42 (-5.25, 2.41) |
White | Reference | Reference |
Area Deprivation Index (ADI) | ||
1 ≤ ADI Rank ≤ 25 | Reference | Reference |
26 ≤ ADI Rank ≤ 50 | -1.23 (-3.46, 0.99) | -2.4 (-4.6, -0.2)* |
51 ≤ ADI Rank ≤ 75 | 1.46 (-0.92, 3.83) | -0.45 (-2.89, 1.99) |
V76 ≤ ADI Rank ≤ 100 |
4.68 (2.3, 7.06)
***
| 1.37 (-1.22, 3.96) |
Insurance status | ||
Private | Reference | Reference |
Public |
2.50 (0.74, 4.27)
**
|
1.99 (0.13, 3.84)
*
|
Other or non-US insurance | -0.14 (-4.85, 4.58) | 0.73 (-3.81, 5.27) |
Uninsured | 4.97 (-0.14, 10.09) | 3.47 (-1.51, 8.45) |
Age at enrollment | 0.08 (-0.21, 0.38) | 0.23 (-0.06, 0.53) |
Male vs. Female sex | 0.14 (-2.38, 2.66) | 0.58 (-1.79, 2.95) |
Central nervous system involvement | -1.22 (-3.67, 1.23) | -1.89 (-4.26, 0.47) |
Renal involvement |
4.72 (3.04, 6.39)
***
|
4.62 (2.9, 6.33)
***
|
Cardiopulmonary involvement |
2.7 (0.80, 4.60)
**
| 1.38 (-0.48, 3.24) |
Conventional DMARD use at enrollment | 1.51 (-0.93, 3.96) | 0.23 (-2.18, 2.63) |
Rituximab or cyclophosphamide use at enrollment |
2.19 (0.32, 4.05)*
| 0.48 (-1.4, 2.36) |
Any secondary rheumatologic disease | -1.24 (-3.92, 1.44) | -1.16 (-3.7, 1.37) |
Disease duration (yrs) at enrollment |
-1.26 (-1.81, -0.71)
***
|
-1.49 (-2.04, -0.94)
***
|
Unadjusteda β (95% CI) | Adjusted β (95% CI) | |
---|---|---|
Race and Ethnicity | ||
Asian | -1.00 (-2.11, 0.10) | -0.40 (-1.44, 0.64) |
Black |
1.49 (0.64, 2.34)
**
|
0.94 (0.11, 1.78)
*
|
Latino/a | 0.79 (-0.09, 1.67) | 0.56 (-0.28, 1.41) |
More than one |
1.36 (0.16, 2.56)
*
| 1.03 (-0.09, 2.15) |
Other | 0.22 (-1.19, 1.64) | 0.07 (-1.24, 1.39) |
White | Reference | Reference |
Area Deprivation Index (ADI) | ||
1 ≤ ADI Rank ≤ 25 | Reference | Reference |
26 ≤ ADI Rank ≤ 50 | 0.55 (-0.26, 1.36) | -0.01 (-0.77, 0.75) |
51 ≤ ADI Rank ≤ 75 |
1.11 (0.24, 1.97)
*
| 0.39 (-0.45, 1.23) |
76 ≤ ADI Rank ≤ 100 |
1.66 (0.79, 2.54)
***
| 0.44 (-0.47, 1.34) |
Insurance status | ||
Private | Reference | Reference |
Public | 0.64 (0.00, 1.28) | 0.22 (-0.43, 0.86) |
Other or non-US insurance | 0.78 (-0.96, 2.53) | 0.75 (-0.86, 2.36) |
Uninsured |
2.73 (0.87, 4.59)
**
|
1.87 (0.14, 3.60)
*
|
Age at enrollment | 0.01 (-0.09, 0.12) | 0.07 (-0.03, 0.17) |
Male vs. Female sex | -0.85 (-1.75, 0.06) | -0.66 (-1.47, 0.16) |
CNS involvement |
1.18 (0.30, 2.06)
**
| 0.78 (-0.04, 1.60) |
Renal involvement |
2.40 (1.81, 3.00)
***
|
2.26 (1.67, 2.86)
***
|
Cardiopulmonary involvement |
1.31 (0.62, 1.99)
***
| 0.6 (-0.04, 1.24) |
Conventional DMARD use at enrollment | 0.80 (-0.14, 1.72) | 0.14 (-0.74, 1.01) |
Rituximab or cyclophosphamide use at enrollment |
1.32 (0.65, 1.99)
***
| 0.29 (-0.35, 0.94) |
Any secondary rheumatologic disease | -0.43 (-1.41, 0.54) | -0.43 (-1.31, 0.45) |
Disease duration (yrs) at each visit |
-0.41 (-0.61, -0.21)
***
|
-0.44 (-0.63, -0.24)
***
|
A71 Cumulative social disadvantage is associated with disease activity and functional disability in juvenile idiopathic arthritis: an analysis of the CARRA registry
William Soulsby1, Erica Lawson1, John Boscardin1, Emily von Scheven1, for the CARRA Registry Investigators2
1University of California, San Francisco, CA, USA; 2Childhood Arthritis and Rheumatology Research Alliance (CARRA)
Correspondence: William Soulsby
N (%) | |
---|---|
Total N
| 9672 |
Median age at enrollment in years (IQR)
| 11.7 (7.3, 15.1) |
Sex
| |
Female | 6720 (69.9) |
Male | 2892 (30.1) |
JIA Category
| |
Oligoarticular JIA | 3417 (35.7) |
RF+ polyarticular JIA | 611 (6.4) |
RF- polyarticular JIA | 2830 (29.6) |
Systemic JIA | 745 (7.8) |
Enthesitis-related arthritis | 1012 (10.6) |
Psoriatic arthritis | 703 (7.4) |
Undifferentiated arthritis | 244 (2.6) |
Median Area Deprivation Index (IQR)
| 37.0 (20.0, 60.0) |
Ever use of a csDMARD, bsDMARD, or small molecule
a
| 6643 (68.7) |
Components of cumulative social disadvantage score
| |
Non-white race | 2236 (23.1) |
Household income <$50,000/year | 1842 (19.0) |
Guardian education of high school or less | 1587 (16.4) |
Publicly insured or no insurance | 2546 (26.3) |
Cumulative social disadvantage score
| |
0 | 4938 (51.1) |
1 | 2458 (25.4) |
2 | 1299 (13.4) |
3 | 753 (7.8) |
4 | 224 (2.3) |
Components of the cJADAS
b
| |
Median Physical Global Assessment | 1.0 (0.0, 3.0) |
Median Parent/patient Global Assessment | 2.0 (0.0, 4.0) |
Active Joint Count | 1.0 (0.0, 3.0) |
Median cJADAS (IQR)
| 2.0 (0.0, 6.0) |
High cJADAS
c
| 4633 (47.9) |
Median CHAQ
d (IQR)
| 0.1 (0.0, 0.6) |
High CHAQ
e
| 5029 (56.8) |
Cumulative Social Disadvantage Score | Unadjusted OR (95% CI), p-value | Adjusteda OR (95% CI), p-value |
---|---|---|
0 | — | — |
1 | 1.32 (1.19, 1.46), <0.001 | 1.34 (1.21, 1.48), <0.001 |
2 | 1.70 (1.50, 1.94), <0.001 | 1.82 (1.61, 2.07), <0.001 |
3 | 2.09 (1.77, 2.46), <0.001 | 2.31 (1.97, 2.71), <0.001 |
4 | 1.92 (1.45, 2.54), <0.001 | 2.18 (1.65, 2.86), <0.001 |
Cumulative Social Disadvantage Score | Unadjusted OR (95% CI), p-value | Adjusteda OR (95% CI), p-value |
---|---|---|
0 | — | — |
1 | 1.62 (1.41, 1.87), <0.001 | 1.64 (1.42, 1.88), <0.001 |
2 | 3.61 (3.02, 4.31), <0.001 | 3.49 (2.92, 4.17), <0.001 |
3 | 3.89 (3.11, 4.89), <0.001 | 3.94, (3.15, 4.93), <0.001 |
4 | 3.81 (2.59, 5.59), <0.001 | 3.91 (2.67, 5.74), <0.001 |