Skip to main content
Erschienen in: Arthritis Research & Therapy 1/2019

Open Access 01.12.2019 | Research article

Comparing the burdens of opportunistic infections among patients with systemic rheumatic diseases: a nationally representative cohort study

verfasst von: Chung-Yuan Hsu, Chi-Hua Ko, Jiun-Ling Wang, Tsai-Ching Hsu, Chun-Yu Lin

Erschienen in: Arthritis Research & Therapy | Ausgabe 1/2019

Abstract

Objective

To estimate and compare the burdens of opportunistic infections and herpes zoster in real-world practice among patients with various systemic rheumatic diseases.

Methods

This 13-year cohort study used national health insurance data to compare the incidence rates (IRs) of nine opportunistic infections among patients with five rheumatic diseases. The analyses were stratified according to follow-up duration using Poisson regression, and Cox models were used to compare the risk of first opportunistic infection.

Results

During 2000–2013, we identified 76,966 patients who had polymyositis/dermatomyositis (PM/DM, 2270 cases), systemic lupus erythematosus (SLE, 15,961 cases), systemic sclerosis (SSc, 2071 cases), rheumatoid arthritis (RA, 38,355 cases), or primary Sjögren’s syndrome (pSS, 18,309 cases). The IR of opportunistic infections was highest for PM/DM cases (61.3/1000 person-years, 95% confidence interval [CI] 56.6–66.2), followed by SLE cases (43.1/1000 person-years, 95% CI 41.7–44.5), SSc cases (31.6/1000 person-years, 95% CI 28.3–35.1), RA cases (25.0/1000 person-years, 95% CI 24.4–25.7), and pSS cases (24.1/1000 person-years, 95% CI 23.1–25.2). Multivariable Cox analysis revealed that, relative to SLE, PM/DM was associated with a significantly higher risk of opportunistic infections (hazard ratio 1.18, 95% CI 1.08–1.29). The risk of opportunistic infections was highest during the first year after the diagnosis of all five rheumatic diseases.

Conclusions

The risk of opportunistic infection was highest for PM/DM, followed by SLE, SSc, RA, and pSS. Careful observation and preventive therapy for opportunistic infections may be warranted in selected PM/DM patients, especially during the first year after the diagnosis.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s13075-019-1997-5.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CHF
Congestive heart failure
CMV
Cytomegalovirus
COPD
Chronic obstructive pulmonary disease
HBV
Hepatitis B virus
HCV
Hepatitis C virus
HR
Hazard ratios
ICD-9-CM
International Classification of Diseases, ninth revision, clinical modification
IR
Incidence rates
IRR
Incidence rate ratio
NHIRD
National Health Insurance Research Database
NHRI
National Health Research Institutes
NTD
New Taiwan dollars
NTM
Non-tuberculosis mycobacterium
OI
Opportunistic infection
PJP
Pneumocystis jiroveci pneumonia
PM/DM
Polymyositis/dermatomyositis
pSS
Primary Sjögren’s syndrome
PY
Person-years
RA
Rheumatoid arthritis
sHR
Subdistribution hazard ratio
SD
Standard deviation
SLE
Systemic lupus erythematosus
SSc
Systemic sclerosis
TB
Tuberculosis
TNF-α
Tumour necrosis factor alpha

Introduction

Infection remains a leading cause of morbidity, hospitalization, and mortality among patients with autoimmune rheumatic disease [1, 2]. Furthermore, the estimated rates of infectious complications can be 26–50% among patients with polymyositis/dermatomyositis (PM/DM) or systemic lupus erythematosus (SLE) [35]. Several factors may influence the vulnerability of patients with rheumatic diseases, with infectious diseases being strongly associated with their frequent use of corticosteroids and immunosuppressive agents. There is also evidence that innate and adaptive immunity against various pathogens is impaired in patients with SLE [6]. Moreover, the development of infection in patients with rheumatic diseases leads to a much poorer prognosis relative to that of patients without infectious diseases [2, 7].
In addition to common infections, opportunistic infection (OI) has emerged as an important complication in developed countries [8]. Interestingly, the risks of herpes zoster and Pneumocystis jiroveci pneumonia are elevated among SLE patients [9, 10], while DM was recently shown to be associated with elevated rates of herpes zoster and tuberculosis [11, 12]. However, most previous studies regarding the relationship between rheumatic diseases and OI were focused on SLE and were limited by their small-scale or single-centre designs. Furthermore, there is scarce research regarding the incidence rates (IRs) of OI in other major connective tissue diseases, such as systemic sclerosis (SSc) and primary Sjögren’s syndrome (pSS). Moreover, among patients with PM/DM or SLE, there are no large-scale studies regarding the incidences of other OIs (e.g. aspergillosis, cryptococcosis, non-tuberculous mycobacteria, and cytomegalovirus infection). We are also unaware of any studies regarding whether the burden of OI varies among different connective tissue diseases. Therefore, the present study aimed to determine the incidence rates of various OIs in real-world practice among Taiwanese patients with five systemic rheumatic diseases (SLE, PM/DM, SSc, pSS, and rheumatoid arthritis [RA]). We also compared the risks of OIs between these rheumatic diseases.

Methods

Data source

This retrospective cohort study evaluated data from Taiwan’s National Health Insurance Research Database (NHIRD; http://​nhird.​nhri.​org.​tw/​en/​index.​html), which is maintained by Taiwan’s National Health Research Institutes (NHRI). The NHIRD contains detailed demographic and healthcare information, including relevant diagnostic and procedural codes, for > 23,000,000 individuals (approximately 99% of Taiwan’s population). Furthermore, the size of the NHIRD has led to its extensive use for epidemiological studies [13], which have validated its accuracy for identifying major diseases, such as diabetes mellitus and cerebrovascular disease [14, 15]. The study’s retrospective protocol to evaluate de-identified secondary data was approved by the institutional review board of National Cheng Kung University Hospital (B-EX-108-012).

Patients

The five rheumatic diseases were identified using codes from the International Classification of Diseases, ninth revision, clinical modification (ICD-9-CM). Thus, inpatient and outpatient care claims were searched to identify cases involving SLE (710.0), RA (714.0), SSc (710.1), pSS (710.2), and PM/DM (710.4 and 710.3). To increase the specificity of case ascertainment for the five rheumatic diseases, we also evaluated catastrophic illness certificates, which are issued by the Bureau of National Health Insurance to patients with autoimmune diseases (e.g. SLE, RA, PM/DM, pSS, or SSc) in order to exempt them from co-payment requirements for related medical care. The certificate is only issued to the patient when their medical records, laboratory data, and imaging results have been reviewed by two independent rheumatologists, who confirm that the corresponding classification criteria have been fulfilled. For example, the certificate can be issued to SLE patients when their symptoms, laboratory findings, and radiographic findings fulfill the 1997 American College of Rheumatology Revised Criteria for Classification of Systemic Lupus Erythematosus [16]. In RA cases, the American Rheumatism Association 1987 revised criteria or the 2010 American College of Rheumatology/European League Against Rheumatism criteria must be fulfilled [17, 18]. The revised American–European Consensus Group Classification Criteria or the European classification criteria are used for pSS [19, 20], the 1980 systemic sclerosis classification criteria are used for SSc [21], and Bohan and Peter’s criteria are used for PM/DM [22, 23]. Patients without catastrophic illness certificates were excluded from our study.
The present study only included incident cases of autoimmune rheumatic diseases and excluded patients with ≥ 2 rheumatic diagnoses to ensure that we did not consider patients with secondary Sjögren’s syndrome or overlapping syndromes. The index date was defined as the first diagnosis of autoimmune disease between January 1, 2000, and December 31, 2013. Patients were followed up until the last episode of OI, death, or the end date (December 31, 2013).

Identification of OI

Based on the ICD-9-CM codes and the 2015 consensus recommendations for infection reporting [8], the OI types were defined as candidiasis (112), aspergillosis (117.3, 484.6), Cryptococcus infection (117.5, 321.0), Pneumocystis jiroveci pneumonia (136.3), cytomegalovirus infection (078.5, 771.1), salmonellosis (003), tuberculosis (010–018), non-tuberculous Mycobacterium infection (031.0, 031.2, 031.8, 031.9), herpes zoster (053), toxoplasmosis (130), coccidioidomycosis (114), and histoplasmosis (115). These codes for OI were generally considered to be accurate in the administrative database [24, 25], although case ascertainment was improved by restricting the eligible cases to those that involved inpatient claims using these codes, with the exception of herpes zoster, which generally does not require hospitalization. Patients were allowed to have multiple OI types or multiple episodes of the same OI, although only the first episode for each OI type was considered in the analysis of cases with multiple episodes of the same OI. Patients who had experienced OI before the index date were excluded from the analysis.

Covariate information

Patient characteristics (age, sex, income level, and comorbidities) were retrieved, and income level was used as a surrogate for socioeconomic status by categorizing the average monthly income as low (≤ 19,200 New Taiwan dollars [NTDs]), intermediate (19,201–40,000 NTD), and high (> 40,000 NTD). The selected baseline comorbidities were identified using ICD-9-CM codes for diabetes (250), chronic kidney disease (580–587), hypertension (401–405), ischaemic heart disease (410–414), cancer (140–208), dyslipidaemia (272), congestive heart failure (428), chronic obstructive lung disease (491, 492, 496), cerebrovascular disease (430–438), peripheral artery disease (443), liver cirrhosis (571.2, 571.5, 571.6), hepatitis B virus infection (070.2, 070.3, v02.61), hepatitis C virus infection (070.41, 070.44, 070.51, 070.54, 070.70, 070.71, v02.62), dementia (290, 294.1, 294.2, 331.0), and depression (296.2, 296.3, 311). Comorbidities were considered present if the corresponding code was used for a single inpatient claim or ≥ 3 outpatient visits. We also recorded the use of various medications within 90 days of the index date, including systemic corticosteroid, cyclophosphamide, methotrexate, azathioprine, cyclosporine, and leflunomide.

Statistical analysis

Demographic data and baseline comorbidities were presented as mean ± standard deviation for continuous variables or as number (percentage) for categorical variables. These variables were then analysed using Student’s independent t test or Pearson’s chi-squared test. Incidence rates (IRs) for overall OIs, and individual OI types, were estimated by dividing the total number of OI episodes by the relevant person-years value during the observation period. The time from rheumatic disease diagnosis to OI occurrence was stratified as 0–1 year, 1–2 years, 2–3 years, 4–5 years, and > 5 years, and the incidence rate ratios (IRRs) for OI at the various follow-up times were estimated using Poisson regression. The Kaplan-Meier method and log-rank test were used to identify differences in the cumulative incidences of OI between the five rheumatic diseases. Cox proportional hazard regression analyses were performed to estimate the effects of each disease on the risk of the first OI episode, after adjusting for age, sex, income level, and comorbidities. Crude and adjusted hazard ratios (HRs and aHRs) with 95% confidence intervals (CIs) were used to describe the magnitudes of these effects.

Sensitivity analysis

To investigate the robustness of the main findings, sensitivity analyses were designed by excluding herpes zoster from the definition of OI. The same methods were then used to determine estimates of OI risk among patients with the various rheumatic diseases. An additional sensitivity analysis was performed to generate subdistribution hazard ratios (sHRs) via the competing risk regression model using Fine and Gray’s method [26], with death as the competing risk. A two-sided P value of < 0.05 was considered significant. All data management and statistical analyses were performed using Stata 13 software (StataCorp, College Station, TX, USA).

Results

Patient characteristics

Between January 1, 2000, and December 31, 2013, we identified 76,966 patients with rheumatic diseases, including 15,961 SLE cases, 38,355 RA cases, 18,309 pSS cases, 2071 SSc cases, and 2270 PM/DM cases. Table 1 shows the patients’ demographic characteristics, comorbidities, medications, and mean follow-up duration. Female sex was the predominant factor for all five rheumatic diseases. The highest female-to-male ratios were observed for SLE and pSS. The mean age was lowest in SLE cases (37.2 ± 17.0 years) and was highest in pSS cases (54.7 ± 14.3 years). Diabetes, hypertension, and dyslipidaemia were the most common comorbidities, and the proportion of patients with cancer was highest among patients with PM/DM, while that of patients with depression was highest among patients with pSS. Patients with RA, SLE, and SSc had longer follow-up times than those with PM/DM and pSS. Additional file 1: Table S1 shows the calendar year distributions of the index dates for patients with each rheumatic disease.
Table 1
Patient characteristics according to systemic rheumatic disease
Variable
SLE (N = 15,961)
PM/DM (N = 2270)
SSc (N = 2071)
RA (N = 38,355)
pSS (N = 18,309)
Sex, n (%)
 Male
2027 (12.7)
760 (33.5)
544 (26.3)
9013 (23.5)
2032 (11.1)
 Female
13,934 (87.3)
1510 (66.5)
1527 (73.7)
29,342 (76.5)
16,277 (88.9)
Age in years, mean ± SD
37.2 ± 17.0
47.8 ± 17.7
51.8 ± 15.3
53.3 ± 15.4
54.7 ± 14.3
Age group, n (%)
 0–16 years
1342 (8.4)
148 (6.5)
32 (1.6)
712 (1.8)
42 (0.2)
 16–45 years
9853 (61.7)
767 (33.8)
610 (29.4)
9688 (25.3)
4363 (23.8)
 45–65 years
3512 (22.1)
975 (43.0)
1000 (48.3)
19,105 (49.8)
9456 (51.6)
 > 65 years
1254 (7.8)
380 (16.7)
429 (20.7)
8850 (23.1)
4448 (24.4)
Income in NTD, n (%)
 Low (< 19,200)
8092 (50.7)
1270 (56.0)
1129 (54.5)
20,647 (53.8)
9521 (52.0)
 Intermediate (19,201–40,000)
6071 (38.1)
747 (32.9)
721 (34.8)
14,024 (36.5)
6526 (35.6)
 High (> 40,000)
1798 (11.2)
253 (11.1)
221 (10.7)
3684 (9.7)
2262 (12.4)
Comorbidities, n (%)
 Diabetes mellitus
807 (5.1)
255 (11.3)
226 (11.0)
4528 (11.8)
2116 (11.5)
 Hypertension
2574 (16.1)
536 (23.6)
556 (26.8)
10,485 (27.3)
5277 (28.8)
 Chronic kidney disease
1390 (8.7)
99 (4.4)
147 (7.1)
1839 (4.8)
1064 (5.8)
 COPD
862 (5.4)
240 (10.6)
273 (13.2)
3930 (10.3)
2218 (12.1)
 Ischaemic heart disease
971 (6.1)
264 (11.6)
282 (13.6)
4643 (12.1)
2892 (15.9)
 Dyslipidaemia
1202 (7.5)
381 (16.8)
315 (15.3)
5743 (14.9)
3634 (19.8)
 CHF
541 (3.4)
105 (4.6)
147 (7.1)
1303 (3.4)
584 (3.2)
 Liver cirrhosis
270 (1.69)
37 (1.6)
58 (2.8)
444 (1.1)
401 (2.2)
 Cerebrovascular disease
7.3 (4.4)
101 (4.5)
126 (6.1)
2235 (5.8)
1658 (9.1)
 Cancer
739 (4.6)
279 (12.3)
128 (6.2)
2116 (5.5)
1567 (8.5)
 Peripheral artery disease
942 (5.9)
140 (6.2)
624 (30.1)
1314 (3.4)
1145 (6.25)
 HBV infection
317 (2.0)
113 (4.9)
46 (2.2)
1118 (2.9)
727 (3.9)
 HCV infection
249 (1.6)
54 (2.4)
39 (1.9)
877 (2.3)
705 (3.8)
 Depression
735 (4.6)
109 (4.8)
110 (5.3)
2265 (5.9)
2262 (12.3)
 Dementia
92 (0.6)
13 (0.6)
12 (0.6)
322 (0.8)
279 (1.5)
Medications, n (%)
 Corticosteroid
13,846 (86.7)
2146 (94.5)
1442 (69.6)
29,284 (76.3)
8912 (48.7)
 Cyclophosphamide
1320 (8.3)
208 (9.2)
186 (9.0)
192 (0.5)
229 (1.25)
 Methotrexate
626 (3.9)
668 (29.4)
155 (7.5)
21,310 (55.6)
829 (4.5)
 Azathioprine
3965 (24.8)
708 (31.2)
166 (8.0)
621 (1.6)
1104 (6.0)
 Cyclosporine
270 (1.7)
99 (4.4)
37 (1.8)
1105 (2.9)
104 (0.57)
 Leflunomide
35 (0.21)
15 (0.7)
11 (0.5)
1914 (5.0)
108 (0.59)
Length of follow-up (years), mean ± SD
5.6 ± 4.2
4.5 ± 4.1
5.3 ± 4.0
5.9 ± 3.9
4.5 ± 3.5
SLE systemic lupus erythematosus, PM/DM polymyositis/dermatomyositis, RA rheumatoid arthritis, pSS primary Sjögren’s syndrome, SSc systemic sclerosis, SD standard deviation, NTD New Taiwan dollars, COPD chronic obstructive pulmonary disease, CHF congestive heart failure, HBV hepatitis B virus, HCV hepatitis C virus

Incidence of OI

We identified 13,002 episodes in 11,554 patients with OI. Among these patients, 10,341 cases (89.5%) involved 1 episode, 1020 cases (8.8%) involved 2 episodes, and 193 cases (1.7%) involved ≥ 3 episodes. Table 2 shows the IR and 95% CI values for total OI and the various OI types according to the patients’ rheumatic diseases, although < 2 events were detected for toxoplasmosis, coccidioidomycosis, and histoplasmosis, which were omitted from the analyses. The highest IR for total OI was observed in PM/DM cases (61.3/1000 person-years, 95% CI 56.6–66.2), which were followed by SLE cases (43.1/1000 person-years, 95% CI 41.7–44.5), SSc cases (31.6/1000 person-years, 95% CI 28.3–35.1), RA cases (25.0/1000 person-years, 95% CI 24.4–25.7), and pSS cases (24.1/1000 person-years, 95% CI 23.1–25.2). Relative to the SLE cohort, the IRR for OI in the PM/DM cohort was 1.42 (95% CI 1.31–1.55) (Table 3). Sub-analyses of the OI types revealed generally similar rankings from highest to lowest (PM/DM followed by SLE, SSc, RA, and pSS), with the exception that the IR for salmonellosis was highest in the SLE cohort.
Table 2
Incidence rates of opportunistic infections according to systemic rheumatic disease
 
SLE (N = 15,961, PY = 89,256)
PM/DM (N = 2270, PY = 10,252)
SSc (N = 2071, PY = 10,868)
RA (N = 38,355, PY = 22,7549)
pSS (N = 18,309, PY = 81,995)
Events
IR (95% CI)
Events
IR (95% CI)
Events
IR (95% CI)
Events
IR (95% CI)
Events
IR (95% CI)
Fungus
 Aspergillus
16
0.18 (0.10–0.29)
6
0.59 (0.22–1.27)
1
0.09 (0.01–0.51)
22
0.10 (0.06–0.15)
5
0.06 (0.02–0.14)
 Candidiasis
388
4.35 (3.93–4.80)
85
8.29 (6.62–10.25)
49
4.51 (3.34–5.96)
426
1.87 (1.70–2.06)
145
1.77 (1.49–2.08)
 Cryptococcus
39
0.44 (0.31–0.60)
9
0.88 (0.40–1.67)
2
0.18 (0.02–0.67)
45
0.20 (0.14–0.27)
14
0.17 (0.09–0.29)
 PJP
45
0.51 (0.37–0.67)
18
1.76 (1.04–2.78)
4
0.37 (0.10–0.94)
18
0.08 (0.05–0.13)
9
0.11 (0.05–0.21)
 Subtotal
488
5.48 (4.99–5.98)
118
11.5 (9.53–13.8)
56
5.15 (3.89–6.69)
511
2.25 (2.06–2.45)
173
2.11 (1.81–2.45)
CMV
100
1.12 (0.91–1.37)
18
1.76 (1.04–2.78)
4
0.37 (0.10–0.94)
29
0.13 (0.09–0.18)
15
0.18 (0.10–0.30)
Salmonellosis
272
3.05 (2.70–3.43)
30
2.93 (1.97–4.18)
11
1.01 (0.51–1.81)
118
0.52 (0.43–0.62)
27
0.33 (0.22–0.48)
Herpes zoster
2580
28.9 (27.8–30.0)
377
36.8 (33.2–40.7)
216
19.9 (17.3–22.7)
4084
17.9 (17.4–18.5)
1502
18.3 (17.4–19.3)
TB
341
3.82 (3.43–4.25)
71
6.93 (5.41–8.74)
47
4.32 (3.18–5.75)
839
3.69 (3.44–3.95)
213
2.60 (2.26–2.97)
NTM
63
0.71 (0.54–0.90)
14
1.37 (0.75–2.29)
9
0.82 (0.38–1.57)
121
0.53 (0.44–0.64)
48
0.59 (0.43–0.78)
Non-herpes zoster infection
1264
14.2 (13.4–15.0)
251
24.5 (21.6–27.7)
127
11.7 (9.74–13.9)
1617
7.10 (6.76–7.40)
476
5.81 (5.30–6.35)
Total
3844
43.1 (41.7–44.5)
628
61.3 (56.6–66.2)
343
31.6 (28.3–35.1)
5701
25.0 (24.4–25.7)
1978
24.1 (23.1–25.2)
Incidence rates (IRs) are reported as the number of cases per 1000 person-years
SLE systemic lupus erythematosus, RA rheumatoid arthritis, pSS primary Sjögren’s syndrome, SSc systemic sclerosis, PM/DM polymyositis/dermatomyositis, PJP Pneumocystis jiroveci pneumonia, CMV cytomegalovirus, TB tuberculosis, NTM non-tuberculosis mycobacterium, PY person-years
Table 3
Unadjusted incidence rate ratio for total and non-herpes zoster opportunistic infections in patients with different systemic rheumatic diseases
 
Incidence rate ratio
95% CI
P value
Total opportunistic infections
 SLE
1 (reference)
 PM/DM
1.42
1.31–1.55
< 0.001
 SSc
0.73
0.65–0.85
< 0.001
 RA
0.58
0.56–0.61
< 0.001
 pSS
0.56
0.53–0.59
< 0.001
Non-herpes zoster opportunistic infections
 SLE
1 (reference)
 PM/DM
1.73
1.50–1.98
< 0.001
 SSc
0.83
0.68–0.99
0.035
 RA
0.50
0.46–0.54
< 0.001
 pSS
0.41
0.37–0.45
< 0.001
SLE systemic lupus erythematosus, RA rheumatoid arthritis, pSS primary Sjögren’s syndrome, SSc systemic sclerosis, PM/DM polymyositis/dermatomyositis, CI confidence interval
Table 4 shows the IRRs for OI according to the follow-up period. The risk of OI was highest during the first year after the diagnosis of the rheumatic diseases, with gradually decreasing risk over time. The lowest IR values for OI were observed at > 5 years after the diagnosis of PM/DM, SLE, RA, and pSS.
Table 4
Incidence rates and ratios for total opportunistic infections and non-herpes zoster infections according to systemic rheumatic disease and follow-up duration
Follow-up years
Person-year
Total opportunistic infections
Non-herpes zoster opportunistic infections
Events
IR
IRR
Events
IR
IRR
SLE
 0–1
14,355
1212
84.4
2.76 (2.53–2.99)
425
29.6
2.86 (2.48–3.31)
 1–2
12,495
540
43.2
1.41 (1.27–1.57)
168
13.5
1.30 (1.07–1.58)
 2–3
11,050
418
37.8
1.24 (1.10–1.38)
126
11.4
1.10 (0.89–1.36)
 3–4
9729
359
36.9
1.20 (1.06–1.36)
106
10.9
1.05 (0.84–1.31)
 4–5
8483
300
35.3
1.15 (1.01–1.31)
96
11.3
1.09 (0.86–1.38)
 > 5
33,144
1015
30.6
1 (reference)
343
10.4
1 (reference)
 Total
89,256
3844
43.1
1264
14.2
RA
 0–1
36,271
1123
30.9
1.32 (1.23–1.43)
331
9.13
1.44 (1.25–1.66)
 1–2
32,300
825
25.5
1.09 (1.01–1.18)
226
7.00
1.10 (0.94–1.29)
 2–3
28,646
676
23.6
1.01 (0.92–1.10)
201
7.02
1.11 (0.94–1.31)
 3–4
25,375
596
23.5
1.01 (0.91–1.10)
165
6.51
1.03 (0.86–1.22)
 4–5
22,283
547
24.5
1.05 (0.95–1.15)
170
7.63
1.20 (1.01–1.43)
 > 5
82,674
1934
23.4
1 (reference)
524
6.34
1 (reference)
 Total
227,549
5701
25.0
1617
7.10
pSS
 0–1
16,658
528
31.7
1.54 (1.36–1.75)
152
9.12
1.85 (1.44–2.37)
 1–2
13,798
355
25.7
1.25 (1.08–1.43)
71
5.15
1.04 (0.76–1.41)
 2–3
11,438
242
21.1
1.03 (0.88–1.20)
49
4.28
0.87 (0.61–1.22)
 3–4
9386
196
20.8
1.01 (0.85–1.20)
47
5.01
1.01 (0.71–1.43)
 4–5
7657
182
23.7
1.15 (0.97–1.37)
43
5.62
1.14 (0.78–1.62)
 > 5
23,058
475
20.6
1 (reference)
114
4.94
1 (reference)
 Total
81,995
1978
24.1
476
5.81
SSc
 0–1
1875
80
42.6
1.61 (1.18–2.18)
34
18.1
1.68 (1.04–2.72)
 1–2
1600
57
35.6
1.34 (0.95–1.88)
18
11.2
1.04 (0.56–1.86)
 2–3
1380
46
33.3
1.26 (0.87–1.80)
16
11.5
1.08 (0.56–1.96)
 3–4
1183
40
33.8
1.27 (0.86–1.85)
11
9.29
0.86 (0.40–1.71)
 4–5
1024
19
18.5
0.70 (0.40–1.15)
7
6.83
0.63 (0.24–1.43)
 > 5
3806
101
26.5
1 (reference)
41
10.7
1 (reference)
 Total
10,868
343
31.6
127
11.7
PM/DM
 0–1
1882
277
147.2
5.47 (4.31–6.98)
137
72.8
11.2 (7.14–18.2)
 1–2
1510
100
66.2
2.46 (1.84–3.29)
36
23.8
3.66 (2.11–6.46)
 2–3
1277
78
61.1
2.27 (1.66–3.09)
23
18.8
2.76 (1.48–5.15)
 3–4
1098
42
38.2
1.42 (0.96–2.06)
17
15.4
2.37 (1.19–4.64)
 4–5
957
36
37.6
1.40 (0.92–2.07)
15
15.6
2.40 (1.17–4.81)
 > 5
3528
95
26.9
1 (reference)
23
6.51
1 (reference)
 Total
10,252
628
61.3
127
24.5
IRs are reported as the number of cases per 1000 person-years
IR incidence rate, IRR incidence rate ratio, SLE systemic lupus erythematosus, RA rheumatoid arthritis, pSS primary Sjögren’s syndrome, SSc systemic sclerosis, PM/DM polymyositis/dermatomyositis

Cumulative incidence and relative hazard of the first OI event

Figure 1 shows the cumulative incidences of total OI over 10 years in the rheumatic disease cohorts. The highest risk was observed in the PM/DM cohort, which was followed by the SLE cohort, the SSc cohort, the RA cohort, and the pSS cohort (log-rank P < 0.001). We also examined the cumulative incidences of non-herpes zoster OIs, fungal OIs, and non-Candida fungal infections, which revealed similar risk patterns (Fig. 1b–d).
The Cox regression model, which was adjusted for age, sex, income level, and comorbidities, revealed that the risk of the first OI event was 18% higher in the PM/DM group than in the SLE group (aHR 1.18, 95% CI 1.08–1.29). Relative to the SLE group, reduced risks of OI were observed in the SSc group (aHR 0.58, 95% CI 0.51–0.65), the RA group (aHR 0.46, 95% CI 0.44–0.48), and the pSS group (aHR 0.42, 95% CI 0.39–0.44). Similar results were observed in the sensitivity analyses when herpes zoster was excluded from the outcome measurement (Table 5). The sensitivity analysis using the multivariable competing risk regression model also revealed that the PM/DM cohort had a significantly higher risk of OI than the SLE cohort (sHR 1.17, 95% CI 1.07–1.29), while lower risks of OI were observed in the SSc cohort (sHR 0.67, 95% CI 0.59–0.75), the RA cohort (sHR 0.59, 95% CI 0.57–0.62), and the pSS cohort (sHR 0.56, 95% CI 0.53–0.59).
Table 5
Comparing the risks of opportunistic infection according to systemic rheumatic disease by Cox regression and competing risk regression models
 
Cox regression
Competing risk regression
Crude HR
Adjusted HR
Crude sHR
Adjusted sHR
Opportunistic infections
 SLE
1 (reference)
1 (reference)
1 (reference)
1 (reference)
 PM/DM
1.38 (1.26–1.51)
1.18 (1.08–1.29)
1.22 (1.11–1.34)
1.17 (1.07–1.29)
 SSc
0.75 (0.67–0.85)
0.58 (0.51–0.65)
0.70 (0.62–0.78)
0.67 (0.59–0.75)
 RA
0.61 (1.26–1.51)
0.46 (0.44–0.48)
0.62 (0.59–0.65)
0.59 (0.57–0.62)
 pSS
0.57 (0.54–0.60)
0.42 (0.39–0.44)
0.58 (0.55–0.61)
0.56 (0.53–0.59)
Non-herpes zoster opportunistic infections
 SLE
1 (reference)
1 (reference)
1 (reference)
1 (reference)
 PM/DM
1.63 (1.41–1.89)
1.22 (1.05–1.42)
1.44 (1.24–1.68)
1.22 (1.05–1.43)
 SSc
0.83 (0.68–1.01)
0.55 (0.45–0.67)
0.77 (0.64–0.93)
0.65 (0.54–0.79)
 RA
0.50 (0.47–0.54)
0.33 (0.30–0.36)
0.51 (0.47–0.55)
0.45 (0.42–0.49)
 pSS
0.38 (0.34–0.42)
0.25 (0.22–0.28)
0.39 (0.34–0.43)
0.35 (0.31–0.39)
HR hazard ratio, sHR subdistribution hazard ratio, SLE systemic lupus erythematosus, RA rheumatoid arthritis, pSS primary Sjögren’s syndrome, SSc systemic sclerosis, PM/DM polymyositis/dermatomyositis

Discussion

To the best of our knowledge, this is the first nationally representative study to investigate the incidence of various OI types, including invasive fungal infection, mycobacterium infection, salmonellosis, and cytomegalovirus infection, among patients with five major immune-mediated diseases (PM/DM, SLE, RA, SSc, and pSS). Our study is also the first to demonstrate that the risks of OI vary for each specific disease, with the highest risk observed for PM/DM, followed by SLE, SSc, RA, and pSS. In addition, we found that the risk of OI was highest during the first year after the diagnosis of rheumatic disease, with the risk subsequently decreasing at longer intervals after the diagnosis.
Previous studies have indicated that SLE patients have higher rates of bacterial infection or OI than the general population [1, 2], which has been attributed to various factors. For example, several immune abnormalities have been reported in SLE patients, including complement deficiency [27], complement receptor deficiency [9, 28], defective chemotaxis and phagocytosis [7], decreased production of interleukin-8 by polymorphonuclear leukocytes [29], and impaired activity of T-helper cells against viral antigens [30]. Furthermore, disease-related factors can also increase the risk of OI in patients with SLE, with their lupus activity index independently predicting the risk of hospitalization for infectious disease [9]. Frequent use of glucocorticoids and immunosuppressive agents is also an important risk factor for unusual infection, and it has been reported that cyclophosphamide use for serious SLE manifestations is linked to fatal OIs [31]. A recent observational study also revealed that corticosteroid use had a dose-dependent effect on the rate of OIs [10].
One of the present study’s main findings was that the IR of OI was significantly higher for PM/DM than for SLE, even after adjusting for age, sex, and comorbidities. There are several possible explanations for this result. First, interstitial lung disease is a serious complication in up to 40–65% of PM/DM cases [32, 33], and patients with interstitial lung disease may be vulnerable to pulmonary infections by Mycobacterium and Aspergillus species [34, 35]. Second, PM/DM patients often require more intensive immunosuppression than SLE patients, and fatal refractory interstitial lung disease associated with PM/DM is not uncommon, with Kameda et al. [36] reporting that treatment using cyclophosphamide plus glucocorticoids was only effective in 25% of these critical patients. Triple therapy using cyclophosphamide, cyclosporin A, and glucocorticoids has been suggested to increase the response rate in these refractory patients [37], although no combination treatments (e.g. > 2 immunosuppressive agents) have been suggested for SLE patients, even in cases with lupus nephritis [38]. Thus, intensive immunosuppression may expose PM/DM patients to a significantly higher risk of OI than SLE patients. Third, PM/DM are strongly associated with a broad range of malignancies [39], which could contribute to the increased risk of OI through the use of cytotoxic anti-cancer therapies. Interestingly, malignancy can be present at the onset of idiopathic inflammatory myositis or may develop before or after the diagnosis of PM/DM [39], although we found that the risk of OI remained higher for PM/DM patients than for SLE patients, even after adjusting our regression model for various cancer types. Fourth, involvement of the striated muscle at the oropharynx and upper third of the oesophagus can be observed in PM/DM patients, which can alter their ability to swallow and increase their risk of aspiration pneumonia [40]. Similarly, a small proportion of PM/DM patients experience thoracic muscle myopathy, which leads to ventilatory compromise, difficulty managing respiratory secretions, and an elevated risk of respiratory infection [3, 41].
Although infectious complications are more common in patients with connective tissue diseases, it is unclear whether the risk of OI varies over time. The present study revealed that the risk of OI was highest during the first year after the diagnosis of systemic rheumatic disease, especially among PM/DM patients, where the IR of OI during the first year after diagnosis was approximately 5.4 times greater than the IR at > 5 years after diagnosis. Similarly, a French study of 156 PM/DM patients revealed that 62.5% of the OI events occurred during the first year after the PM/DM diagnosis [42]. Another cohort study explored the risk of herpes virus infection in 134 DM patients and also indicated that the IR was highest during the first year after DM diagnosis [43]. Other research has evaluated the courses of adult and juvenile DM patients, and the results suggested that disease activity was highest during the 6–12 months after the DM diagnosis, with improvement apparently accompanied by corticosteroid treatment [4446]. Moreover, the required dosage of corticosteroid immunosuppression for DM was lower after 12 months of use and remained relatively constant until 36 months of use [46]. However, some studies have indicated that 11–30% of PM/DM patients developed OI before starting immunosuppressive therapy [42, 47]. Therefore, both high-dose corticosteroid treatment and high disease activity may contribute to the enhanced risk of OI during the first year after PM/DM diagnosis.
The introduction of biological agents has been a major advance in the treatment of RA [48]. For example, tumour necrosis factor alpha (TNF-α) inhibitors have potent immunosuppressive effect in this setting and can prevent radiographic progression or induce clinical remission in RA patients [49]. However, infectious complications are important concerns when patients are receiving anti-TNF therapies [50], and there is evidence that anti-TNF therapies are associated with increased risks of serious infections that may require hospitalization [5153]. In this context, etanercept and adalimumab were the first biologic agents approved for the treatment of severe RA in Taiwan and were widely used after 2004. However, we did not perform separate analyses of the risks of OI before and after the era of biological therapy in Taiwan, and caution should be exercised when interpreting our data regarding the incidence of OI in RA cases. It is important to note that RA patients receiving anti-TNF therapy or other biological agents may experience a higher risk of OI, relative to their apparent risk based on our findings.
Taiwan is a country with an intermediate burden of tuberculosis, based on an estimated IR of 68 cases per 100,000 population in 2011 [54]. Our study revealed that incidences of tuberculosis in all five rheumatic diseases were several times higher than that in the general population, with the highest risk observed in the PM/DM cohort. These findings agree with the results from previous record-linkage studies conducted in Western countries [55, 56].
The strength of the present study lies in the use of a nationally representative data source with long-term follow-up data, which allowed us to examine the risks of overall and specific OIs according to five systemic rheumatic diseases. Nevertheless, our findings must be interpreted in the light of several limitations. First, the dataset lacked information regarding the activity or severity of the rheumatic diseases. Second, we did not incorporate variables regarding the exposure of glucocorticoids and immunosuppressants into our regression model, which precluded an analysis of their influence on the risk of OI. However, given the time-varying nature of medication use, it would be more appropriate to adopt a case-control study design for assessing the impact of immunosuppressive drugs. Third, we only counted the first episode in cases with multiple episodes of the same OI, which suggests that our calculated IR values might be underestimated.

Conclusion

This nationally representative cohort study revealed that patients with PM/DM had the highest risk of OI, followed by SLE, SSc, RA, and pSS, in order of decreasing risk. Furthermore, the highest risk of OI was observed during the first year after the diagnosis of systemic rheumatic disease, especially in cases of PM/DM. These findings highlight the importance of monitoring for OI development during the treatment of these autoimmune rheumatic diseases, especially for patients with PM/DM.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s13075-019-1997-5.

Acknowledgements

The study is based in part on data from the National Health Insurance Research Database, which was provided by the Bureau of National Health Insurance, Department of Health, and managed by the National Health Research Institutes. The interpretation and conclusions contained herein do not represent those of the Bureau of National Health Insurance, Department of Health, or National Health Research Institutes.
The Institutional review board of National Cheng Kung University Hospital approved this study (B-EX-108-012). Informed consent was not required because the datasets were devoid of personally identifiable information.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Feldman CH, Hiraki LT, Winkelmayer WC, et al. Serious infections among adult Medicaid beneficiaries with systemic lupus erythematosus and lupus nephritis. Arthritis Rheumatol. 2015;67:1577–85.PubMedPubMedCentralCrossRef Feldman CH, Hiraki LT, Winkelmayer WC, et al. Serious infections among adult Medicaid beneficiaries with systemic lupus erythematosus and lupus nephritis. Arthritis Rheumatol. 2015;67:1577–85.PubMedPubMedCentralCrossRef
2.
Zurück zum Zitat Peng JM, Du B, Wang Q, et al. Dermatomyositis and polymyositis in the intensive care unit: a single-center retrospective cohort study of 102 patients. PLoS One. 2016;11:e0154441.PubMedPubMedCentralCrossRef Peng JM, Du B, Wang Q, et al. Dermatomyositis and polymyositis in the intensive care unit: a single-center retrospective cohort study of 102 patients. PLoS One. 2016;11:e0154441.PubMedPubMedCentralCrossRef
3.
Zurück zum Zitat Marie I, Hatron PY, Dominique S, et al. Polymyositis and dermatomyositis: short term and long term outcome, and predictive factors of prognosis. J Rheumatol. 2001;28:2230–7.PubMed Marie I, Hatron PY, Dominique S, et al. Polymyositis and dermatomyositis: short term and long term outcome, and predictive factors of prognosis. J Rheumatol. 2001;28:2230–7.PubMed
4.
Zurück zum Zitat Dankó K, Ponyi A, Constantin T, et al. Long-term survival of patients with idiopathic inflammatory myopathies according to clinical features: a longitudinal study of 162 cases. Medicine. 2004;83:35–42.PubMedCrossRef Dankó K, Ponyi A, Constantin T, et al. Long-term survival of patients with idiopathic inflammatory myopathies according to clinical features: a longitudinal study of 162 cases. Medicine. 2004;83:35–42.PubMedCrossRef
6.
Zurück zum Zitat Danza A, Ruiz-Irastorza G. Infection risk in systemic lupus erythematosus patients: susceptibility factors and preventive strategies. Lupus. 2013;22:1286–94.PubMedCrossRef Danza A, Ruiz-Irastorza G. Infection risk in systemic lupus erythematosus patients: susceptibility factors and preventive strategies. Lupus. 2013;22:1286–94.PubMedCrossRef
7.
Zurück zum Zitat Petri M. Infection in systemic lupus erythematosus. Rheum Dis Clin North Am. 1998;24:423–56.PubMedCrossRef Petri M. Infection in systemic lupus erythematosus. Rheum Dis Clin North Am. 1998;24:423–56.PubMedCrossRef
8.
Zurück zum Zitat Winthrop KL, Novosad SA, Baddley JW, et al. Opportunistic infections and biologic therapies in immune-mediated inflammatory diseases: consensus recommendations for infection reporting during clinical trials and postmarketing surveillance. Ann Rheum Dis. 2015;74:2107–16.PubMedCrossRef Winthrop KL, Novosad SA, Baddley JW, et al. Opportunistic infections and biologic therapies in immune-mediated inflammatory diseases: consensus recommendations for infection reporting during clinical trials and postmarketing surveillance. Ann Rheum Dis. 2015;74:2107–16.PubMedCrossRef
9.
Zurück zum Zitat Petri M, Genovese M. Incidence of and risk factors for hospitalizations in systemic lupus erythematosus: a prospective study of the Hopkins lupus cohort. J Rheumatol. 1992;19:1559–65.PubMed Petri M, Genovese M. Incidence of and risk factors for hospitalizations in systemic lupus erythematosus: a prospective study of the Hopkins lupus cohort. J Rheumatol. 1992;19:1559–65.PubMed
10.
Zurück zum Zitat Yang SC, Lai YY, Huang MC, Tsai CS, Wang JL. Corticosteroid dose and the risk of opportunistic infection in a national systemic lupus erythematosus cohort. Lupus. 2018;27:1819–27.PubMedCrossRef Yang SC, Lai YY, Huang MC, Tsai CS, Wang JL. Corticosteroid dose and the risk of opportunistic infection in a national systemic lupus erythematosus cohort. Lupus. 2018;27:1819–27.PubMedCrossRef
11.
Zurück zum Zitat Tsai SY, Lin CL, Wong YC, et al. Increased risk of herpes zoster following dermatomyositis and polymyositis: a nationwide population-based cohort study. Medicine. 2015;94:e1138.PubMedPubMedCentralCrossRef Tsai SY, Lin CL, Wong YC, et al. Increased risk of herpes zoster following dermatomyositis and polymyositis: a nationwide population-based cohort study. Medicine. 2015;94:e1138.PubMedPubMedCentralCrossRef
12.
Zurück zum Zitat Wu PH, Lin YT, Yang YH, Lin YC, Lin YC. The increased risk of active tuberculosis disease in patients with dermatomyositis - a nationwide retrospective cohort study. Sci Rep. 2015;5:16303.PubMedPubMedCentralCrossRef Wu PH, Lin YT, Yang YH, Lin YC, Lin YC. The increased risk of active tuberculosis disease in patients with dermatomyositis - a nationwide retrospective cohort study. Sci Rep. 2015;5:16303.PubMedPubMedCentralCrossRef
13.
Zurück zum Zitat Chang SL, Huang YL, Lee MC, et al. Association of varicose veins with incident venous thromboembolism and peripheral artery disease. JAMA. 2018;319:807–17.PubMedPubMedCentralCrossRef Chang SL, Huang YL, Lee MC, et al. Association of varicose veins with incident venous thromboembolism and peripheral artery disease. JAMA. 2018;319:807–17.PubMedPubMedCentralCrossRef
14.
Zurück zum Zitat Cheng CL, Kao YH, Lin SJ, Lee CH, Lai ML. Validation of the national health insurance research database with ischemic stroke cases in Taiwan. Pharmacoepidemiol Drug Saf. 2011;20:236–42.PubMedCrossRef Cheng CL, Kao YH, Lin SJ, Lee CH, Lai ML. Validation of the national health insurance research database with ischemic stroke cases in Taiwan. Pharmacoepidemiol Drug Saf. 2011;20:236–42.PubMedCrossRef
15.
Zurück zum Zitat Lin CC, Lai MS, Syu CY, Chang SC, Tseng FY. Accuracy of diabetes diagnosis in health insurance claims data in Taiwan. J Formos Med Assoc. 2005;104:157–63.PubMed Lin CC, Lai MS, Syu CY, Chang SC, Tseng FY. Accuracy of diabetes diagnosis in health insurance claims data in Taiwan. J Formos Med Assoc. 2005;104:157–63.PubMed
16.
Zurück zum Zitat Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum. 1997;40:1725.PubMedCrossRef Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum. 1997;40:1725.PubMedCrossRef
17.
Zurück zum Zitat Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31:315–24.PubMedCrossRef Arnett FC, Edworthy SM, Bloch DA, et al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum. 1988;31:315–24.PubMedCrossRef
18.
Zurück zum Zitat Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62:2569–81.PubMedCrossRef Aletaha D, Neogi T, Silman AJ, et al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum. 2010;62:2569–81.PubMedCrossRef
19.
Zurück zum Zitat Vitali C, Bombardieri S, Moutsopoulos HM, et al. Preliminary criteria for the classification of Sjögren’s syndrome. Results of a prospective concerted action supported by the European Community. Arthritis Rheum. 1993;36:340–7.PubMedCrossRef Vitali C, Bombardieri S, Moutsopoulos HM, et al. Preliminary criteria for the classification of Sjögren’s syndrome. Results of a prospective concerted action supported by the European Community. Arthritis Rheum. 1993;36:340–7.PubMedCrossRef
20.
Zurück zum Zitat Vitali C, Bombardieri S, Jonsson R, et al. Classification criteria for Sjögren’s syndrome: a revised version of the European criteria proposed by the American-European Consensus Group. Ann Rheum Dis. 2002;61:554–8.PubMedPubMedCentralCrossRef Vitali C, Bombardieri S, Jonsson R, et al. Classification criteria for Sjögren’s syndrome: a revised version of the European criteria proposed by the American-European Consensus Group. Ann Rheum Dis. 2002;61:554–8.PubMedPubMedCentralCrossRef
21.
Zurück zum Zitat Preliminary criteria for the classification of systemic sclerosis (scleroderma). Subcommittee for scleroderma criteria of the American Rheumatism Association Diagnostic and Therapeutic Criteria Committee. Arthritis Rheum. 1980;23:581–90.CrossRef Preliminary criteria for the classification of systemic sclerosis (scleroderma). Subcommittee for scleroderma criteria of the American Rheumatism Association Diagnostic and Therapeutic Criteria Committee. Arthritis Rheum. 1980;23:581–90.CrossRef
22.
Zurück zum Zitat Bohan A, Peter JB. Polymyositis and dermatomyositis (first of two parts). N Engl J Med. 1975;292:344–7.PubMedCrossRef Bohan A, Peter JB. Polymyositis and dermatomyositis (first of two parts). N Engl J Med. 1975;292:344–7.PubMedCrossRef
23.
Zurück zum Zitat Bohan A, Peter JB. Polymyositis and dermatomyositis (second of two parts). N Engl J Med. 1975;292:403–7.PubMedCrossRef Bohan A, Peter JB. Polymyositis and dermatomyositis (second of two parts). N Engl J Med. 1975;292:403–7.PubMedCrossRef
24.
Zurück zum Zitat Schneeweiss S, Robicsek A, Scranton R, Zuckerman D, Solomon DH. Veteran's affairs hospital discharge databases coded serious bacterial infections accurately. J Clin Epidemiol. 2007;60:397–409.PubMedCrossRef Schneeweiss S, Robicsek A, Scranton R, Zuckerman D, Solomon DH. Veteran's affairs hospital discharge databases coded serious bacterial infections accurately. J Clin Epidemiol. 2007;60:397–409.PubMedCrossRef
25.
Zurück zum Zitat Grijalva CG, Chung CP, Stein CM, et al. Computerized definitions showed high positive predictive values for identifying hospitalizations for congestive heart failure and selected infections in Medicaid enrollees with rheumatoid arthritis. Pharmacoepidemiol Drug Saf. 2008;17:890–5.PubMedPubMedCentralCrossRef Grijalva CG, Chung CP, Stein CM, et al. Computerized definitions showed high positive predictive values for identifying hospitalizations for congestive heart failure and selected infections in Medicaid enrollees with rheumatoid arthritis. Pharmacoepidemiol Drug Saf. 2008;17:890–5.PubMedPubMedCentralCrossRef
26.
Zurück zum Zitat Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94:496–509.CrossRef Fine JP, Gray RJ. A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc. 1999;94:496–509.CrossRef
27.
Zurück zum Zitat Ross SC, Densen P. Complement deficiency states and infection: epidemiology, pathogenesis and consequences of neisserial and other infections in an immune deficiency. Medicine. 1984;63:243–73.PubMedCrossRef Ross SC, Densen P. Complement deficiency states and infection: epidemiology, pathogenesis and consequences of neisserial and other infections in an immune deficiency. Medicine. 1984;63:243–73.PubMedCrossRef
28.
Zurück zum Zitat Wilson JG, Ratnoff WD, Schur PH, Fearon DT. Decreased expression of the C3b/C4b receptor (CR1) and the C3d receptor (CR2) on B lymphocytes and of CR1 on neutrophils of patients with systemic lupus erythematosus. Arthritis Rheum. 1986;29:739–47.PubMedCrossRef Wilson JG, Ratnoff WD, Schur PH, Fearon DT. Decreased expression of the C3b/C4b receptor (CR1) and the C3d receptor (CR2) on B lymphocytes and of CR1 on neutrophils of patients with systemic lupus erythematosus. Arthritis Rheum. 1986;29:739–47.PubMedCrossRef
29.
Zurück zum Zitat Hsieh SC, Tsai CY, Sun KH, et al. Decreased spontaneous and lipopolysaccharide stimulated production of interleukin 8 by polymorphonuclear neutrophils of patients with active systemic lupus erythematosus. Clin Exp Rheumatol. 1994;12:627–33.PubMed Hsieh SC, Tsai CY, Sun KH, et al. Decreased spontaneous and lipopolysaccharide stimulated production of interleukin 8 by polymorphonuclear neutrophils of patients with active systemic lupus erythematosus. Clin Exp Rheumatol. 1994;12:627–33.PubMed
30.
Zurück zum Zitat Bermas BL, Petri M, Goldman D, et al. T helper cell dysfunction in systemic lupus erythematosus (SLE): relation to disease activity. J Clin Immunol. 1994;14:169–77.PubMedCrossRef Bermas BL, Petri M, Goldman D, et al. T helper cell dysfunction in systemic lupus erythematosus (SLE): relation to disease activity. J Clin Immunol. 1994;14:169–77.PubMedCrossRef
31.
Zurück zum Zitat Pryor BD, Bologna SG, Kahl LE. Risk factors for serious infection during treatment with cyclophosphamide and high-dose corticosteroids for systemic lupus erythematosus. Arthritis Rheum. 1996;39:1475–82.PubMedCrossRef Pryor BD, Bologna SG, Kahl LE. Risk factors for serious infection during treatment with cyclophosphamide and high-dose corticosteroids for systemic lupus erythematosus. Arthritis Rheum. 1996;39:1475–82.PubMedCrossRef
32.
Zurück zum Zitat Fathi M, Dastmalchi M, Rasmussen E, Lundberg IE, Tornling G. Interstitial lung disease, a common manifestation of newly diagnosed polymyositis and dermatomyositis. Ann Rheum Dis. 2004;63:297–301.PubMedPubMedCentralCrossRef Fathi M, Dastmalchi M, Rasmussen E, Lundberg IE, Tornling G. Interstitial lung disease, a common manifestation of newly diagnosed polymyositis and dermatomyositis. Ann Rheum Dis. 2004;63:297–301.PubMedPubMedCentralCrossRef
33.
Zurück zum Zitat Kang EH, Lee EB, Shin KC, et al. Interstitial lung disease in patients with polymyositis, dermatomyositis and amyopathic dermatomyositis. Rheumatology. 2005;44:1282–6.PubMedCrossRef Kang EH, Lee EB, Shin KC, et al. Interstitial lung disease in patients with polymyositis, dermatomyositis and amyopathic dermatomyositis. Rheumatology. 2005;44:1282–6.PubMedCrossRef
34.
Zurück zum Zitat Smith NL, Denning DW. Underlying conditions in chronic pulmonary aspergillosis including simple aspergilloma. Eur Respir J. 2011;37:865–72.PubMedCrossRef Smith NL, Denning DW. Underlying conditions in chronic pulmonary aspergillosis including simple aspergilloma. Eur Respir J. 2011;37:865–72.PubMedCrossRef
35.
Zurück zum Zitat Park SW, Song JW, Shim TS, et al. Mycobacterial pulmonary infections in patients with idiopathic pulmonary fibrosis. J Korean Med Sci. 2012;27:896–900.PubMedPubMedCentralCrossRef Park SW, Song JW, Shim TS, et al. Mycobacterial pulmonary infections in patients with idiopathic pulmonary fibrosis. J Korean Med Sci. 2012;27:896–900.PubMedPubMedCentralCrossRef
36.
Zurück zum Zitat Kameda H, Nagasawa H, Ogawa H, et al. Combination therapy with corticosteroids, cyclosporin A, and intravenous pulse cyclophosphamide for acute/subacute interstitial pneumonia in patients with dermatomyositis. J Rheumatol. 2005;32:1719–26.PubMed Kameda H, Nagasawa H, Ogawa H, et al. Combination therapy with corticosteroids, cyclosporin A, and intravenous pulse cyclophosphamide for acute/subacute interstitial pneumonia in patients with dermatomyositis. J Rheumatol. 2005;32:1719–26.PubMed
37.
Zurück zum Zitat Miyazaki E, Ando M, Muramatsu T, et al. Early assessment of rapidly progressive interstitial pneumonia associated with amyopathic dermatomyositis. Clin Rheumatol. 2007;26:436–9.PubMedCrossRef Miyazaki E, Ando M, Muramatsu T, et al. Early assessment of rapidly progressive interstitial pneumonia associated with amyopathic dermatomyositis. Clin Rheumatol. 2007;26:436–9.PubMedCrossRef
38.
Zurück zum Zitat Hahn BH, McMahon MA, Wilkinson A, et al. American College of Rheumatology guidelines for screening, treatment, and management of lupus nephritis. Arthritis Care Res. 2012;64:797–808.CrossRef Hahn BH, McMahon MA, Wilkinson A, et al. American College of Rheumatology guidelines for screening, treatment, and management of lupus nephritis. Arthritis Care Res. 2012;64:797–808.CrossRef
39.
Zurück zum Zitat Sigurgeirsson B, Lindelöf B, Edhag O, Allander E. Risk of cancer in patients with dermatomyositis or polymyositis. A population-based study. N Engl J Med. 1992;326:363–7.PubMedCrossRef Sigurgeirsson B, Lindelöf B, Edhag O, Allander E. Risk of cancer in patients with dermatomyositis or polymyositis. A population-based study. N Engl J Med. 1992;326:363–7.PubMedCrossRef
40.
Zurück zum Zitat Mugii N, Hasegawa M, Matsushita T, et al. Oropharyngeal dysphagia in dermatomyositis: associations with clinical and laboratory features including autoantibodies. PLoS One. 2016;11:e0154746.PubMedPubMedCentralCrossRef Mugii N, Hasegawa M, Matsushita T, et al. Oropharyngeal dysphagia in dermatomyositis: associations with clinical and laboratory features including autoantibodies. PLoS One. 2016;11:e0154746.PubMedPubMedCentralCrossRef
41.
Zurück zum Zitat Wu Q, Wedderburn LR, McCann LJ. Juvenile dermatomyositis: Latest advances. Best Pract Res Clin Rheumatol. 2017;31:535–57.PubMedCrossRef Wu Q, Wedderburn LR, McCann LJ. Juvenile dermatomyositis: Latest advances. Best Pract Res Clin Rheumatol. 2017;31:535–57.PubMedCrossRef
42.
Zurück zum Zitat Marie I, Hachulla E, Chérin P, et al. Opportunistic infections in polymyositis and dermatomyositis. Arthritis Rheum. 2005;53:155–65.PubMedCrossRef Marie I, Hachulla E, Chérin P, et al. Opportunistic infections in polymyositis and dermatomyositis. Arthritis Rheum. 2005;53:155–65.PubMedCrossRef
43.
Zurück zum Zitat Fardet L, Rybojad M, Gain M, et al. Incidence, risk factors, and severity of herpesvirus infections in a cohort of 121 patients with primary dermatomyositis and dermatomyositis associated with a malignant neoplasm. Arch Dermatol. 2009;145:889–93.PubMedCrossRef Fardet L, Rybojad M, Gain M, et al. Incidence, risk factors, and severity of herpesvirus infections in a cohort of 121 patients with primary dermatomyositis and dermatomyositis associated with a malignant neoplasm. Arch Dermatol. 2009;145:889–93.PubMedCrossRef
44.
Zurück zum Zitat Ramanan AV, Campbell-Webster N, Ota S, et al. The effectiveness of treating juvenile dermatomyositis with methotrexate and aggressively tapered corticosteroids. Arthritis Rheum. 2005;52:3570–8.PubMedCrossRef Ramanan AV, Campbell-Webster N, Ota S, et al. The effectiveness of treating juvenile dermatomyositis with methotrexate and aggressively tapered corticosteroids. Arthritis Rheum. 2005;52:3570–8.PubMedCrossRef
45.
Zurück zum Zitat Schmeling H, Stephens S, Goia C, et al. Nailfold capillary density is importantly associated over time with muscle and skin disease activity in juvenile dermatomyositis. Rheumatology. 2011;50:885–93.PubMedCrossRef Schmeling H, Stephens S, Goia C, et al. Nailfold capillary density is importantly associated over time with muscle and skin disease activity in juvenile dermatomyositis. Rheumatology. 2011;50:885–93.PubMedCrossRef
46.
Zurück zum Zitat Johnson NE, Arnold WD, Hebert D, et al. Disease course and therapeutic approach in dermatomyositis: a four-center retrospective study of 100 patients. Neuromuscul Disord. 2015;25:625–31.PubMedPubMedCentralCrossRef Johnson NE, Arnold WD, Hebert D, et al. Disease course and therapeutic approach in dermatomyositis: a four-center retrospective study of 100 patients. Neuromuscul Disord. 2015;25:625–31.PubMedPubMedCentralCrossRef
47.
Zurück zum Zitat Viguier M, Fouéré S, de la Salmonière P, et al. Peripheral blood lymphocyte subset counts in patients with dermatomyositis: clinical correlations and changes following therapy. Medicine. 2003;82:82–6.PubMedCrossRef Viguier M, Fouéré S, de la Salmonière P, et al. Peripheral blood lymphocyte subset counts in patients with dermatomyositis: clinical correlations and changes following therapy. Medicine. 2003;82:82–6.PubMedCrossRef
48.
Zurück zum Zitat Davignon JL, Rauwel B, Degboé Y, et al. Modulation of T-cell responses by anti-tumor necrosis factor treatments in rheumatoid arthritis: a review. Arthritis Res Ther. 2018;20:229.PubMedPubMedCentralCrossRef Davignon JL, Rauwel B, Degboé Y, et al. Modulation of T-cell responses by anti-tumor necrosis factor treatments in rheumatoid arthritis: a review. Arthritis Res Ther. 2018;20:229.PubMedPubMedCentralCrossRef
49.
Zurück zum Zitat Stamm TA, Machold KP, Aletaha D, et al. Induction of sustained remission in early inflammatory arthritis with the combination of infliximab plus methotrexate: the DINORA trial. Arthritis Res Ther. 2018;20:174.PubMedPubMedCentralCrossRef Stamm TA, Machold KP, Aletaha D, et al. Induction of sustained remission in early inflammatory arthritis with the combination of infliximab plus methotrexate: the DINORA trial. Arthritis Res Ther. 2018;20:174.PubMedPubMedCentralCrossRef
50.
Zurück zum Zitat Pawar A, Desai RJ, Solomon DH, et al. Risk of serious infections in tocilizumab versus other biologic drugs in patients with rheumatoid arthritis: a multidatabase cohort study. Ann Rheum Dis. 2019;78:456–64.PubMedCrossRef Pawar A, Desai RJ, Solomon DH, et al. Risk of serious infections in tocilizumab versus other biologic drugs in patients with rheumatoid arthritis: a multidatabase cohort study. Ann Rheum Dis. 2019;78:456–64.PubMedCrossRef
51.
Zurück zum Zitat Singh JA, Cameron C, Noorbaloochi S, et al. Risk of serious infection in biological treatment of patients with rheumatoid arthritis: a systematic review and meta-analysis. Lancet. 2015;386:258–65.PubMedPubMedCentralCrossRef Singh JA, Cameron C, Noorbaloochi S, et al. Risk of serious infection in biological treatment of patients with rheumatoid arthritis: a systematic review and meta-analysis. Lancet. 2015;386:258–65.PubMedPubMedCentralCrossRef
52.
Zurück zum Zitat Galloway JB, Hyrich KL, Mercer LK, et al. Anti-TNF therapy is associated with an increased risk of serious infections in patients with rheumatoid arthritis especially in the first 6 months of treatment: updated results from the British Society for Rheumatology Biologics Register with special emphasis on risks in the elderly. Rheumatology (Oxford). 2011;50:124–31.CrossRef Galloway JB, Hyrich KL, Mercer LK, et al. Anti-TNF therapy is associated with an increased risk of serious infections in patients with rheumatoid arthritis especially in the first 6 months of treatment: updated results from the British Society for Rheumatology Biologics Register with special emphasis on risks in the elderly. Rheumatology (Oxford). 2011;50:124–31.CrossRef
53.
Zurück zum Zitat Smitten AL, Choi HK, Hochberg MC, et al. The risk of hospitalized infection in patients with rheumatoid arthritis. J Rheumatol. 2008;35:387–93.PubMed Smitten AL, Choi HK, Hochberg MC, et al. The risk of hospitalized infection in patients with rheumatoid arthritis. J Rheumatol. 2008;35:387–93.PubMed
55.
Zurück zum Zitat Ramagopalan SV, Goldacre R, Skingsley A, Conlon C, Goldacre MJ. Associations between selected immune-mediated diseases and tuberculosis: record-linkage studies. BMC Med. 2013;11:97.PubMedPubMedCentralCrossRef Ramagopalan SV, Goldacre R, Skingsley A, Conlon C, Goldacre MJ. Associations between selected immune-mediated diseases and tuberculosis: record-linkage studies. BMC Med. 2013;11:97.PubMedPubMedCentralCrossRef
56.
Zurück zum Zitat Airio A, Kauppi M, Kautiainen H, Hakala M, Kinnula V. High association of mycobacterial infections with polymyositis in a non-endemic country for tuberculosis. Ann Rheum Dis. 2007;66:1404–5.PubMedPubMedCentralCrossRef Airio A, Kauppi M, Kautiainen H, Hakala M, Kinnula V. High association of mycobacterial infections with polymyositis in a non-endemic country for tuberculosis. Ann Rheum Dis. 2007;66:1404–5.PubMedPubMedCentralCrossRef
Metadaten
Titel
Comparing the burdens of opportunistic infections among patients with systemic rheumatic diseases: a nationally representative cohort study
verfasst von
Chung-Yuan Hsu
Chi-Hua Ko
Jiun-Ling Wang
Tsai-Ching Hsu
Chun-Yu Lin
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
Arthritis Research & Therapy / Ausgabe 1/2019
Elektronische ISSN: 1478-6362
DOI
https://doi.org/10.1186/s13075-019-1997-5

Weitere Artikel der Ausgabe 1/2019

Arthritis Research & Therapy 1/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Notfall-TEP der Hüfte ist auch bei 90-Jährigen machbar

26.04.2024 Hüft-TEP Nachrichten

Ob bei einer Notfalloperation nach Schenkelhalsfraktur eine Hemiarthroplastik oder eine totale Endoprothese (TEP) eingebaut wird, sollte nicht allein vom Alter der Patientinnen und Patienten abhängen. Auch über 90-Jährige können von der TEP profitieren.

Niedriger diastolischer Blutdruck erhöht Risiko für schwere kardiovaskuläre Komplikationen

25.04.2024 Hypotonie Nachrichten

Wenn unter einer medikamentösen Hochdrucktherapie der diastolische Blutdruck in den Keller geht, steigt das Risiko für schwere kardiovaskuläre Ereignisse: Darauf deutet eine Sekundäranalyse der SPRINT-Studie hin.

Bei schweren Reaktionen auf Insektenstiche empfiehlt sich eine spezifische Immuntherapie

Insektenstiche sind bei Erwachsenen die häufigsten Auslöser einer Anaphylaxie. Einen wirksamen Schutz vor schweren anaphylaktischen Reaktionen bietet die allergenspezifische Immuntherapie. Jedoch kommt sie noch viel zu selten zum Einsatz.

Therapiestart mit Blutdrucksenkern erhöht Frakturrisiko

25.04.2024 Hypertonie Nachrichten

Beginnen ältere Männer im Pflegeheim eine Antihypertensiva-Therapie, dann ist die Frakturrate in den folgenden 30 Tagen mehr als verdoppelt. Besonders häufig stürzen Demenzkranke und Männer, die erstmals Blutdrucksenker nehmen. Dafür spricht eine Analyse unter US-Veteranen.

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.