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Erschienen in: BMC Infectious Diseases 1/2020

Open Access 01.12.2020 | Research article

Herpes zoster risk and burden of disease in immunocompromised populations: a population-based study using health system integrated databases, 2009–2014

verfasst von: Cintia Muñoz-Quiles, Mónica López-Lacort, Javier Díez-Domingo, Alejandro Orrico-Sánchez

Erschienen in: BMC Infectious Diseases | Ausgabe 1/2020

Abstract

Background

Estimate the incidence of herpes zoster (HZ), its complications and healthcare utilization rates in adults (≥ 18-years-old) with a wide range of immunocompromised (IC) conditions compared to IC-free cohort.

Method

A population-based retrospective study using the Valencia healthcare Integrated Databases (VID) (2009–2014). HZ and IC were defined using ICD-9 codes in primary care (PC) and hospitalization registers. Incidence rates (IR), risk of HZ, HZ-recurrence, HZ-complications and healthcare utilization rates were estimated in the IC-cohort compared to IC-free.

Results

The study population consisted of 4,382,590 subjects, of which 578,873 were IC (13%). IR (in 1000 persons-year) of HZ overall, in IC and in IC-free cohort was 5.02, 9.15 and 4.65, respectively. IR of HZ increased with age in both cohorts and it was higher for all IC conditions studied, reaching up to twelvefold in subjects with stem cell transplantation. IC subjects had 51% higher risk of developing HZ, 25% higher HZ-recurrence and the risk of HZ-complications was 2.37 times higher than in IC-free. HZ-related healthcare utilization was higher in the IC-cohort than in IC-free (number of hospitalizations 2.93 times greater, hospital stays 12% longer, 66% more HZ-specialist visits, 2% more PC visits, sick leaves 18% longer and 20% higher antiviral dispensation).

Conclusions

Patients suffering from all the IC conditions studied are at higher risk of developing HZ, HZ-recurrence and post-herpetic complications, which implies a substantial morbidity and a high consumption of resources. These results should be considered for vaccine policy implementation.
Hinweise
Cintia Muñoz-Quiles and Mónica López-Lacort contributed equally to this work.

Supplementary Information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12879-020-05648-6.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AT
Autoimmune thyroiditis
ATC
Anatomical therapeutic chemical
CI
Confidence interval
CKD
Chronic kidney diseases
CNS
Central nervous system
COPD
Chronic obstructive pulmonary disease
Crl
Credible interval
GAIA
Care provision management (Sistema de información farmacéutica)
GLM
Generalized linear models
HF
Heart failure
HIV
Human immunodeficiency virus
HN
Haematological neoplasia
HSCT
Haematopoietic stem cell transplant
HZ
Herpes zoster
IBD
Inflammatory bowel disease
IC
Immunocompromised
ICD-9-CM
International classification of diseases, Ninth Revision. Clinical modification
IR
Incidence rate
MBDS
Minimum basic data set
MS
Multiple sclerosis
OR
Odds ratio
PC
Primary care
PHN
Post-herpetic neuralgia
RA
Rheumatoid arthritis
ReR
Recurrence rate
RHS
Regional Health System
RR
Relative risk
RWD
Real world data
RZV
Recombinant zoster vaccine
SIA
Ambulatory information system (Sistema de información ambulatoria)
SIP
Personal identification system
SLE
Systemic lupus erythematosus
SON
Solid organ neoplasia
SOT
Solid organ transplantation
VID
Valencia healthcare Integrated Databases
ZVL
Zoster vaccine live
VZV
Varicella zoster virus

Introduction

One in three people aged between 50 and 90 years will develop herpes zoster (HZ) and approximately one in ten will develop postherpetic neuralgia (PHN, defined as dermatomal pain lasting for at least three months after the acute phase of a HZ) [1]. A decrease of the specific cell-mediated immunity against varicella zoster virus (VZV) seems to be the cause of HZ development as a consequence of the VZV reactivation [2]. It could explain the increased risk of suffering HZ in ageing people and especially in people with immunocompromised (IC) conditions due to diseases or treatments that alter the immune response (Immunodeficiency disorders and autoimmune diseases, human immunodeficiency virus (HIV), cancer, organ transplantation) [36].
Both, HZ and PHN result in reduced quality of life as well as individual and societal healthcare costs [68]. Its treatment, especially that of PHN, is extremely difficult and frustrating for both patients and specialists (who in most cases fail to mitigate the suffering of their patients) [911]. Considering these difficulties, a live attenuated vaccine (Zoster Vaccine Live, ZVL) was commercialized in 2006 as a tool to prevent HZ and its complications, and it was licensed in many countries for its use in adults older than 50 years of age [1214]. Despite its availability, there is relatively scarce use of the current live attenuated vaccine in Spain, where there are efforts to introduce more recommendations for HZ vaccination [15]. The identification and definition of priority HZ at-risk groups is a key step for the design of vaccination programs.
Previous studies on HZ and PHN epidemiology using Real World Data have been developed in order to identify highly susceptible populations such as patients with diabetes, chronic obstructive pulmonary disease (COPD) or heart failure (HF) among others [1, 4, 9, 1618]. People with IC conditions are among the highest risk of developing HZ [35]. However these cohorts cannot benefit from ZVL vaccine due to its contraindication in IC populations [19]. This is the reason why these IC populations have been normally excluded from many epidemiological studies to avoid confusion [1, 16, 17]. As an alternative, an adjuvanted recombinant Zoster vaccine (RZV) has been developed and was first approved in Canada followed by the US in 2017 for its use in adults aged 50 years and older [20, 21]. Clinical studies on immunogenicity, safety and efficacy of RZV have been completed or are ongoing for different IC conditions such as HIV, haematopoietic stem cell transplant (HSCT) or transplant recipients or Inflammatory bowel disease (IBD) [2225]. Their results will allow broadening the approved indication of RZV [21].
The estimation of the full burden of HZ disease including HZ incidence and recurrence rates, its complications and the evaluation of HZ risk for specific IC subpopulations constitutes a critical step to make an estimation of future impact of the RZV in these risk groups. So far, only a few studies assessed HZ incidence among patients with different IC conditions including populations large enough to allow comparison among the different conditions [35, 26, 27]. However, none of them included risk estimations. As recently reviewed by Mareque et al., in Spain there is a lack of these types of studies and its heterogeneity and limited populations make it difficult to develop the definition of priority groups for the implementation of a future non-routine HZ vaccination program [15].
The Valencia Region of Spain has a population of around 5 million inhabitants, over 96% of which are insured by the Regional Health System (RHS) [1]. The Region counts with the Valencia health system Integrated Databases (VID), a healthcare electronic databases network gathering real world data (RWD) from hospitalization, primary care, specialist and medication, among other [28]. The quality of VID has been shown in several publications [1, 16, 2931]. Using the VID, the objective of the present study was to estimate the risk of HZ, its recurrence and complications in adults with a wide range of IC conditions in comparison with the IC-free cohort. Healthcare resources utilization was also assessed.

Methods

Study design, population and setting

This is a population-based retrospective cohort study using real-world data from the VID, including a population ≥ 18 years old living in the Valencia Region between 2009 and 2014. The inclusion date was defined as 1st January 2009 for those subjects older than 18 years continuously registered in the RHS for at least 12 months before this date, or first date after 1st January 2009 when the subject was continuously registered in the RHS for at least 12 months before this date and was 18 years old. The date of end of follow-up was defined as end of the study period (31st December 2014) or the date of exit of the RHS (including death), whichever comes sooner.

Real world data: the Valencia healthcare integrated databases (VID)

We used the following registries from VID [28]: 1) the regional population-based administrative database (SIP), that collects and updates demographic data, health services assignment and usage of the health system; 2) the Ambulatory Care Information System (SIA), that contains medical information for each patient attended in the Primary Care (PC) setting (General Practitioners, GPs, and specialists); 3) the minimum basic data set (MBDS), that collects all diagnosis and procedures from hospitalizations; and 4) the Care Provision Management (GAIA), that gathers drug prescriptions and dispensations data using the Anatomical Therapeutic Chemical Classification System (ATC). Both SIA and MBDS used the International Classification of Diseases, Ninth Revision, Clinical Modification coding system (ICD-9-MC) for codification. All these registries can be linked at the individual level through a unique personal identification number [28, 32].

Study cohorts

The IC-cohort consisted of all eligible individuals with an IC condition-related code registered in SIA or MBDS as follows: HSCT, solid organ transplantation (SOT), haematological neoplasia (HN), solid organ neoplasia (SON), neoplasias overall, HIV, rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), IBD, psoriasis, multiple sclerosis (MS), autoimmune thyroiditis (AT) and immunodeficiency disorders and autoimmune diseases overall (autoimmune) (See supplementary Table 1 for ICD-9-MC codes) [33, 34]. Subjects were considered as IC from the date of the first registry until the end of the follow-up period.
The IC-free cohort consisted of subjects with no IC condition-related code detected during the study period. The start of follow-up for the IC-free cohort was the date of inclusion in the study. The IC-free status of an individual changed during the study period if an ICD code for an IC-related condition appeared in MBDS or SIA databases. In the case of PC or hospitalization IC diagnoses, the beginning of IC status was defined as the date in which IC disease was diagnosed and the subject was considered IC from this date until the end of the follow up period (end of the study period or exit from SIP including death).
HZ-incident cases were considered as the first appearance of a HZ-related ICD-code (053.x) [35] in either SIA or MBDS (in any diagnostic position). Any PC medical contact or visit, or hospital admission related to HZ was considered as a medical encounter. In order to ensure that HZ cases were new cases, a period of at least 12 months of registration in RHS was required before the inclusion in the study population.
HZ-recurrent cases were considered when new HZ-related ICD-code appeared at least 6 months after a previous HZ encounter in the same subject. HZ case identification using databases and ICD-codes have shown elevated positive predictive value (92.7%; 95% CI: 89.1–95.4) [32].
HZ-complications were defined as any HZ-related hospitalization with one of the following ICD-codes at discharge in MBDS: central nervous system (CNS) complications (053.0 and 053.1x) which include PHN (053.12, 053.13 and 053.19), ophthalmic complications (053.2x) and other complications (053.7x and 053.8x).

Statistical analysis

Socio-demographic characteristics (age, gender, calendar year, urban/rural residence, social exclusion risk, health department and comorbidities (diabetes, COPD, HF and chronic kidney diseases (CKD)) of the study population and IC condition type (for the IC cohort), were summarized using descriptive tables including proportions and frequencies.
HZ incidence (number of cases per 1000 persons-year) and recurrence (number of cases per 100 persons-year) rates were estimated for IC population, globally and stratified by gender, age groups: 18–29, 30–39, 40–49, 50–59, 60–69, 70–79 y ≥ 80 years, calendar year and type of IC condition. The respective 95% confidence intervals (CI) were calculated by the exact method of Poisson.
The risk of HZ, HZ recurrence and HZ complications in the IC-cohort subjects respect to IC-free cohort were estimated by a Poisson (quasi-poisson or negative binomial) regression adjusted by age, gender, calendar year, comorbidities (diabetes, COPD, CKD and HF), and health department.
Healthcare resource utilization among IC and IC-free cohorts was estimated as the number of HZ-related PC visits, number and length of HZ-related hospitalizations, number and duration of sick leaves due to HZ and prescriptions and dispensations of antivirals (Aciclovir, Famciclovir and Valaciclovir) during the six months following the HZ diagnosis. We performed different statistical General Linear Models (GLM) to compare the populations with and without IC conditions (see supplementary material 2).

Ethical considerations

The study protocol was approved by the Ethics Committee of Dirección General de Salud Pública / Centro Superior de Investigación en Salud Pública, which allowed for the linkage of the different databases by the administrators database using a codified SIP number.

Results

Study population

The study population included 4,382,590 individuals aged ≥18 years that met the inclusion criteria (49% male). This cohort included 578,873 (13% of the study population) individuals with IC (48% male). Among the IC conditions, neoplasia (7%) was the most frequent, including SON (5.9%) and HN (1.3%). They were followed by psoriasis (3.3%) and RA (0.9%). Diabetes was registered in 11.2% of the population, COPD in 5.1%, CKD in 3.4% and HF in 3.2%. Some conditions were more frequent among men such as HIV (71.4%) or COPD (66.2%) and some other among women including SLE (84.2%), MS (68.9%) or RA (68.2%). Sample size overall and by IC condition in the IC-cohort and IC-free, age distribution and demographic characteristics are listed in Table 1.
Table 1
Demographic characteristics for population 18 years old in the Valencia Region from 2009 to 2014 (n = 4,382,590)
Characteristics
Population
(n = 4,382,590)
IC (n = 578,873)
HIV (n = 13,612)
HSCT (n = 1779)
SOT (n = 18,456)
NEOPLASIAS (n = 306,125)
SON
(n = 257,271)
HAEMATOL. NEOP.
(n = 55,082)
RA (n = 39,962)
Gender N(%)
 Man
2,145,709 (48.96)
279,122 (48.22)
9716 (71.38)
1030 (57.90)
10,417 (56.44)
159,526 (52.11)
137,305 (53.37)
26,063 (47.32)
12,722 (31.84)
 Woman
2,236,881 (51.04)
299,751 (51.78)
3896 (28.62)
749 (42.10)
8039 (43.56)
146,599 (47.89)
119,966 (46.63)
29,019 (52.68)
27,240 (68.16)
Age (years) N
 18–29
1,019,731
62,407
1193
160
1261
11,711
3042
8559
2186
 30–39
1,274,301
87,590
4064
276
2741
19,795
9707
9829
4249
 40–49
1,243,357
110,019
7630
437
4210
35,539
25,715
10,120
7587
 50–59
1,004,914
123,921
4124
628
5018
58,593
49,518
10,063
10,756
 60–69
817,757
138,911
1147
602
5347
86,499
76,706
11,562
11,826
 70–79
677,388
140,359
476
131
4340
100,993
91,240
12,276
11,391
  ≥ 80
441,778
98,905
218
14
2209
77,824
70,907
8962
7033
Calendar year N
 2009
4,148,325
264,163
7946
602
9622
129,941
109,293
21,987
22,283
2010
4,088,345
307,912
8555
747
10,680
148,998
123,615
27,113
24,819
 2011
4,048,771
349,165
9161
879
11,849
166,335
136,548
31,943
27,275
 2012
4,028,926
395,378
9822
1014
13,416
187,925
153,776
36,770
30,207
 2013
3,924,744
444,279
10,888
1166
14,907
211,033
171,910
42,451
33,376
 2014
3,913,476
494,693
11,810
1312
16,165
234,675
191,360
47,310
36,401
Nationality N (%)
*N = 4,212,716
*N = 563,730
*N = 13,136
*N = 1703
*N = 17,993
*N = 293,839
*N = 246,025
*N = 48,919
*N = 39,245
 Spanish
3,716,485 (88.22)
523,698 (92.90)
11,823 (90)
1618 (95.01)
16,996 (94.46)
275,929 (93.90)
232,726 (94.59)
48,919 (97.36)
35,997 (91.72)
 Other
496,231 (11.78)
40,032 (7.10)
1313 10)
85 (4.99)
997 (5.54)
17,910 (6.10)
13,299 (5.41)
1329 (2.64)
3248 (8.28)
Rural N (%)
*N = 4,380,289
*N = 578,747
*N = 13,602
*N = 1779
*N = 18,450
*N = 306,032
*N = 257,181
*N = 55,078
*N = 39,958
 Yes
109,358 (2.50)
14,906 (2.58)
216 (1.59)
46 (2.59)
417 (2.26)
8631 (2.82)
7353 (2.86)
1464 (2.66)
1145 (2.87)
 No
4,270,931 (97.50)
563,841 (97.42)
13,386 (98.41)
1733 (97.41)
18,033 (97.74)
297,401 (97.18)
249,828 (97.14)
53,614 (97.34)
38,813 (97.13)
Social exclusion N (%)
*N = 4,021,588
*N = 535,996
*N = 12,492
*N = 1565
*N = 17,260
*N = 271,137
*N = 225,205
*N = 51,202
*N = 37,974
 Yes
629,179 (15.65)
67,878 (12.66)
3825 (69.38)
157 (10.03)
1894 (10.97)
34,988 (8.72)
16,989 (7.54)
6870 (13.42)
4594 (12.10)
 No
3,392,409 (84.35)
468,118 (87.34)
8667 (30.62)
1408 (89.97)
15,359 (89.03)
247,491 (91.28)
208,216 (92.46)
44,332 (86.58)
33,380 (87.90)
Characteristics
SLE (n = 4878)
IBD
(n = 28,700)
PSORIASIS
(n = 139,843)
MS
(n = 4747)
AT
(n = 9205)
DIABETES (n = 491,210)
COPD
(n = 222,902)
HF (n = 139,706)
CKD (n = 149,805)
Gender N(%)
 Man
769 (15.76)
14,599 (50.87)
69,058 (49.38)
1478 (31.14)
1017 (11.05)
258,320 (52.59)
147,456 (66.15)
62,781 (44.92)
82,034 (54.76)
 Woman
4109 (84.24)
14,101 (49.13)
70,785 (50.62)
3269 (68.86)
8188 (88.95)
232,890 (47.41)
75,446 (33.85)
76,925 (55.06)
67,771 (45.24)
Age (years) N
 18–29
528
4191
33,887
659
1178
8673
3628
374
2471
 30–39
1272
7480
36,959
1661
2337
20,838
7742
903
4722
 40–49
1702
8336
35,032
1890
2755
53,081
19,076
2933
7732
 50–59
1421
6678
30,709
1344
2751
112,581
39,360
8258
14,114
 60–69
952
5512
25,260
822
2011
172,642
65,680
20,223
27,378
 70–79
650
4800
17,493
384
1085
193,949
87,338
49,731
52,166
  ≥ 80
305
2658
8088
113
446
129,895
72,965
83,660
71,404
Calendar year N
 2009
2572
15,898
62,492
3047
3720
347,604
126,850
58,503
53,640
 2010
2973
17,772
77,137
3349
4722
365,745
136,093
65,374
61,943
 2011
3333
19,513
91,288
3639
6021
378,199
143,759
70,843
71,205
 2012
3795
21,777
105,590
3896
6980
393,050
159,700
77,206
80,269
 2013
4203
24,326
120,067
4156
7992
404,193
165,847
81,202
88,993
 2014
4587
26,890
134,664
4446
9002
413,834
172,506
86,214
98,296
Nationality N (%)
*N = 4828
*N = 28,347
*N = 138,860
*N = 4678
*N = 9172
*N = 474,241
*N = 213,515
*N = 131,310
*N = 142,213
 Spanish
4488 (92.96)
26,659 (94.05)
127,492 (91.81)
4353 (93.05)
8673 (94.56)
449,835 (94.85)
203,216 (95.18)
126,428 (96.28)
135,333 (95.16)
 Other
340 (7.04)
1688 (5.95)
11,368 (8.19)
325 (6.95)
499 (5.44)
24,406 (5.15)
10,299 (4.82)
4882 (3.72)
6880 (4.84)
Rural N (%)
*N = 4878
*N = 28,694
*N = 139,836
*N = 4745
*N = 9204
*N = 491,069
*N = 222,830
*N = 139,639
*N = 149,744
 Yes
91 (1.87)
28,077 (97.85)
3017 (2.16)
112 (2.36)
520 (5.65)
13,830 (2.82)
6758 (3.03)
4938 (3.54)
4136 (2.76)
 No
4787 (98.13)
617 (2.15)
136,819 (97.84)
4633 (97.64)
8684 (94.35)
477,239 (97.18)
216,072 (96.97)
134,701 (96.46)
145,608 (97.24)
Social exclusion N (%)
*N = 4718
*N = 27,671
*N = 136,789
*N = 4562
*N = 9108
*N = 447,728
*N = 197,306
*N = 114,628
*N = 126,804
 Yes
3894 (82.53)
23,858 (86.22)
23,130 (16.91)
718 (15.74)
1546 (16.97)
44,835 (10.01)
18,311 (9.28)
4776 (4.17)
7732 (6.10)
 No
824 (17.47)
3813 (13.78)
113,659 (83.09)
3844 (84.26)
7562 (83.03)
402,893 (89.99)
178,995 (90.72)
109,852 (95.83)
119,072 (93.90)
*Number of subjects with available information for this category

HZ incidence rates

Incidence rate (IR) (in 1000 persons-year) of HZ (including PC and hospital registries) was 5.02 in population overall, 9.15 in IC cohort and 4.65 in IC-free cohort. IR of HZ increased with age, in IC-free cohort the lowest IR was 2.26 in 18–29 age group, and the highest IR was 9.54 in ≥80 age group. In IC cohort the lowest IR was 3.61 in 18–29 age group and the highest was 12.93 in 70–79 age group (Table 2).
Table 2
Incidence rates of HZ (per 1000 persons - year) by age groups and IC condition in the Valencia Region in 2009–2014
IC condition
Incidence rate of HZ per 1000 PY (95% CI)
18–29
30–39
40–49
50–59
60–69
70–79
≥ 80
Overall
Population
2.32 (2.27–2.37)
2.46 (2.42–2.51)
2.93 (2.88–2.98)
5.88 (5.80–5.96)
8.63 (8.53–8.74)
9.82 (9.69–9.95)
10 (9.83–10.16)
5.02 (4.99–5.04)
IC-free cohort
2.26 (2.21–2.31)
2.36 (2.32–2.41)
2.75 (2.70–2.80)
5.52 (5.44–5.61)
8.12 (8.01–8.23)
9.29 (9.15–9.43)
9.54 (9.36–9.71)
4.64 (4.61–4.67)
IC-cohort
3.61 (3.33–3.91)
4.28 (4.02–4.54)
5.52 (5.26–5.79)
9.55 (9.22–9.90)
12.42 (12.05–12.80)
12.93 (12.54–13.33)
12.69 (12.21–13.29)
9.15 (9.02–9.29)
HSCT
42.37 (21.89–74.02)
38.94 (24.11–59.53)
50.13 (35.81–68.26)
69.24 (54.08–87.33)
61.82 (47.5–79.1)
51.99 (24.93–95.61)
0
56.07 (48.86–64.04)
SOT
6 (3.61–9.37)
6.23 (4.58–8.29)
7.31 (5.83–9.05)
14.89 (12.87–17.14)
17.02 (14.93–19.32)
14.21 (12.06–16.62)
17.26 (13.83–21.29)
12.65 (11.8–13.54)
HN
4.96 (4.1–5.94)
4.53 (3.77–5.41)
5.86 (4.97–6.87)
13.95 (12.5–15.52)
18.03 (16.46–19.7)
20.06 (18.37–21.85)
18.44 (16.46–20.6)
11.99 (11.48–12.52)
SON
3.87 (2.59–5.56)
4.94 (4.1–5.9)
5.84 (5.25–6.49)
10.24 (9.66–10.85)
12.27 (11.76–12.80)
12.12 (11.64–12.62)
12 (11.43–12.59)
10.97 (10.73–11.22)
NEOPLASIAS
4.64 (3.92–5.45)
4.71 (4.14–5.33)
5.86 (5.36–6.40)
10.70 (10.16–11.26)
12.86 (12.40–13.40)
12.91 (12.43–13.39)
12.53 (11.98–13.11)
11.01 (10.79–11.23)
HIV
11.9 (8.08–16.89)
12.34 (10.28–14.7)
13.44 (11.96–15.06)
12.8 (10.65–15.27)
13.99 (9.9–19.2)
11.38 (5.68–20.36)
3.87 (0.1–21.56)
12.94 (11.95–13.99)
AUTOIMMUNE
3.35 (3.05–3.67)
3.9 (3.62–4.2)
4.7 (4.4–5.01)
8.97 (8.54–9.42)
12.41 (11.87–12.98)
13.98 (13.32–14.66)
13.34 (12.45–14.27)
7.88 (7.71–8.05)
RA
4.19 (2.74–6.14)
5.34 (4.1–6.83)
6.03 (5.04–7.16)
10.22 (9.11–11.42)
13.88 (12.65–15.2)
14.3 (13–15.7)
13.71 (12.05–15.53)
11.05 (10.52–11.59)
SLE
9.76 (5.33–16.37)
8.62 (5.93–12.1)
8.37 (6.01–11.36)
17.2 (13.27–21.92)
20.37 (15.07–26.94)
21.8 (14.81–30.94)
19.63 (10.73–32.93)
13.36 (11.75–15.14)
IBD
4.83 (3.66–6.25)
4.6 (3.78–5.56)
5.16 (4.31–6.12)
9.65 (8.3–11.16)
13.4 (11.59–15.4)
12.97 (11.01–15.18)
16.21 (13.21–19.67)
8.29 (7.77–8.84)
PSORIASIS
2.97 (2.63–3.34)
3.37 (3.03–3.74)
3.74 (3.37–4.14)
7.55 (6.98–8.16)
10.39 (9.65–11.16)
12.4 (11.41–13.44)
11.11 (9.72–12.64)
6.13 (5.92–6.34)
MS
5.48 (2.51–10.4)
4.39 (2.75–6.64)
4.13 (2.67–6.09)
7.22 (4.87–10.31)
12.34 (8.33–17.62)
10.96 (5.47–19.62)
12.15 (2.51–35.51)
6.33 (5.29–7.51)
AT
1.35 (0.37–3.47)
2.07 (1.1–3.55)
4.21 (2.88–5.94)
10 (7.9–12.5)
11.06 (8.42–14.27)
13.56 (9.64–18.54)
17.97 (10.82–28.06)
7.19 (6.31–8.15)
CI Confidence interval, IC immunocompromised, HSCT haematopoietic stem cell transplant, SOT solid organ transplantation, HN haematological neoplasia, SON solid organ neoplasia, NEOPLASIAS neoplasias overall, HIV human immunodeficiency virus, AUTOIMMUNE RA rheumatoid arthritis, SLE systemic lupus erythematosus, IBD Inflammatory bowel disease, MS multiple sclerosis, AT autoimmune thyroiditis, AUTOIMMUNE immunodeficiency disorders and autoimmune diseases overall (See supplementary Table 1)
IR of HZ remained almost constant throughout the study period with no significant trend in any of the cohorts (not shown). The overall IR of HZ was higher in women than in men in both IC (9.74 vs. 8.48 cases/1000 persons-year) and IC-free cohorts (5.43 vs. 3.83 cases/1000 persons-year) (Fig. 1).
The overall IR (in 1000 persons-year) of HZ in the studied IC conditions ranged from 6.13 for psoriasis to 56.07 for HSCT (Table 2). IR for the other IC conditions were: 13.36 for SLE, 12.94 for HIV, 12.65 for SOT, 11.99 for HN, 11.05 for RA, 10.97 for SON, 8.29 for IBD, 7.88 for immunodeficiency disorders and autoimmune diseases, 7.19 for AT and 6.33 for MS (Table 2).
The adjusted risk of HZ increased by 51% among people with IC conditions with respect to people IC-free (relative risk [RR] 1.51, 95% CrI: 1.48–1.54). It was 33% higher among females than that of males (RR 1.33, 95% CI: 1.31–1.35) and it increased with age (Table 3). The HZ risk was 36% higher for patients with COPD, 12% for diabetes, 16% for HF and 18% for CKD (Table 3).
Table 3
Relative risk (RR) estimates and 95% credible intervals (95% CrI) for the association between IC condition and HZ incidence, HZ-complications and HZ recurrence, controlling by sex, age, comorbidities (COPD, diabetes, HF and CKD), health department (as a random effect) and calendar year, using Bayesian Poisson regression
 
aHZ RR (95% CrI)
bHZ-Complications
RR (95% CrI)
bHZ-Recurrence
RR (95% CrI)
IC
IC-free
1
1
1
IC
1.51 (1.48–1.54)
2.37 (2.01–2.8)
1.25 (1.19–1.31)
SEX
Man
1
1
1
Woman
1.33 (1.31–1.35)
1.15 (0.98–1.35)
1.19 (1.14–1.24)
AGE
18–29
1
1
1
30–39
1.06 (1.02–1.09)
5.62 (2.63–11.99)
1.08 (0.95–1.23)
40–49
1.24 (1.2–1.29)
9.71 (4.9–19.24)
1.14 (1.01–1.28)
50–59
2.42 (2.35–2.5)
7.74 (3.95–15.16)
1.21 (1.08–1.36)
60–69
3.43 (3.32–3.54)
12.3 (6.84–22.1)
1.52 (1.36–1.7)
70–79
3.72 (3.61–3.85)
26.14 (14.72–46.44)
1.9 (1.7–2.12)
≥ 80
3.57 (3.45–3.7)
39.72 (22.5–70.12)
2.14 (1.91–2.4)
COMORBIDITIES
COPD
NO-COPD
1
1
1
COPD
1.36 (1.32–1.4)
2.54 (2.11–3.06)
1.26 (1.17–1.35)
DIABETES
NO-DIABETES
1
1
1
DIABETES
1.12 (1.09–1.14)
1.07 (0.89–1.28)
1.05 (1–1.11)
HF
NO-HF
1
1
1
HF
1.16 (1.11–1.21)
2.07 (1.68–2.55)
1.63 (1.39–1.9)
CKD
NO-CKD
1
1
1
CKD
1.18 (1.13–1.23)
1.63 (1.31–2.03)
1.2 (1.09–1.33)
aA Quasi poisson regression model adjusted by sex, age, calendar year, health department and comorbidities (COPD, diabetes, HF and CKD) was used to estimate the risk of HZ in IC respect to IC-free subjects
bA Zero-inflated negative binomial model adjusted by sex, age, calendar year, health department and comorbidities (COPD, diabetes, HF and CKD) was used to estimate the risk of HZ complications (based on hospitalization diagnoses) and recurrence in IC respect to IC-free

Incidence rates of HZ - related complications

The IR (in 100,000 persons-year) of HZ related complications was 3.63 in population overall, 14.36 in the IC cohort and 2.64 in the IC-free cohort (Table 4). The most common complications were CNS (70.7%) which mainly included PHN (65%), followed by ophthalmic complications (15.93%) and other complications (13.35%).
Table 4
Incidence rates of HZ complications (per 100,000 persons - year), overall and by age groups and IC condition
IC condition
Incidence rate of HZ complications per 100,000 PY (95% CI)
18–29
30–39
40–49
50–59
60–69
70–79
≥ 80
Overall
Population
0.35 (0.18–0.59)
0.75 (0.53–1.04)
1.09 (0.81–1.44)
1.34 (0.99–1.77)
4.34 (3.63–5.15)
10.89 (9.6–12.31)
21.35 (19.08–23.81)
3.63 (3.39–3.88)
IC-free cohort
0.33 (0.17–0.58)
0.49 (0.3–0.73)
0.47 (0.29–0.73)
0.78 (0.51–1.15)
2.95 (2.33–3.68)
8.48 (7.25–9.85)
18.78 (16.49–21.3)
2.64 (2.42–2.86)
IC cohort
0.58 (0.01–3.21)
5.55 (3.04–9.32)
9.74 (6.57–13.9)
6.91 (4.38–10.37)
14.3 (10.71–18.7)
24.76 (19.83–30.54)
36.12 (28.68–44.89)
14.36 (12.75–16.11)
HSCT
310.46 (7.86–1729.79)
161.25 (4.08–898.45)
759.63 (305.41–1565.13)
161.39 (19.55–583)
232.54 (47.95–679.57)
0 (0–1492.1)
0 (0–25,474.82)
300.77 (164.43–504.63)
SOT
0 (0–112.66)
38.5 (7.94–112.52)
41.92 (13.61–97.83)
35.98 (11.68–83.97)
90.74 (49.61–152.25)
50.33 (18.47–109.55)
36.08 (4.37–130.34)
50.16 (34.94–69.76)
HN
4.13 (0.1–23)
10.68 (2.2–31.22)
40.77 (20.35–72.95)
15.49 (4.22–39.65)
47.43 (25.93–79.58)
51.98 (29.09–85.73)
52.86 (25.35–97.22)
31.8 (24.15–41.11)
SON
13.14 (0.33–73.22)
8 (0.97–28.91)
9.69 (3.56–21.1)
6.69 (2.89–13.19)
11.9 (7.46–18.01)
22.86 (16.86–30.31)
36.96 (27.84–48.1)
18.74 (15.79–22.09)
NEOPLASIAS
3.1 (0.08–17.3)
7.39 (2.01–18.91)
16.95 (9.49–27.96)
7.66 (3.82–13.71)
14.68 (9.97–20.83)
25.14 (19.14–32.43)
38.84 (29.91–49.6)
19.91 (17.15–23)
HIV
0 (0–131.63)
54.1 (19.85–117.76)
37.1 (16.96–70.43)
37.36 (10.18–95.65)
98.64 (20.34–288.25)
95.01 (2.41–529.36)
0 (0–1269.77)
43.2 (27.38–64.82)
AUTOIMMUNE
0.71 (0.02–3.96)
3.15 (1.16–6.86)
7.91 (4.52–12.84)
4.25 (1.83–8.37)
15.32 (10.01–22.45)
25.27 (17.39–35.48)
30.81 (19.07–47.09)
10.18 (8.37–12.26)
RA
0 (0–58.05)
8.28 (0.21–46.11)
4.5 (0.11–25.08)
3.15 (0.08–17.56)
11.08 (3.02–28.37)
27.05 (12.37–51.36)
40.7 (17.57–80.2)
14.87 (9.53–22.12)
SLE
0 (0–244.45)
25.12 (0.64–139.94)
38.74 (4.69–139.92)
24.55 (0.62–136.78)
0 (0–136.77)
61.59 (1.56–343.18)
0 (0–461.25)
25.19 (8.18–58.79)
IBD
0 (0–30.57)
4.17 (0.11–23.23)
3.84 (0.1–21.39)
0 (0–18.68)
18.94 (3.91–55.34)
15.59 (1.89–56.3)
29.53 (3.58–106.69)
7.67 (3.51–14.57)
PSORIASIS
0 (0–3.86)
0 (0–3.42)
0.99 (0.03–5.52)
2.27 (0.27–8.19)
6.63 (2.15–15.48)
7.88 (2.15–20.17)
35.83 (15.47–70.6)
3.7 (2.26–5.71)
MS
0 (0–220.87)
0 (0–71.54)
0 (0–59.58)
0 (0–85.36)
38.62 (0.98–215.15)
0 (0–344.05)
0 (0–1436.88)
4.7 (0.12–26.21)
AT
0 (0–123.35)
15.73 (0.4–87.64)
0 (0–47.47)
0 (0–46.07)
0 (0–64.98)
0 (0–117.91)
0 (0–322.51)
2.85 (0.07–15.89)
CI Confidence interval, IC immunocompromised, HSCT haematopoietic stem cell transplant, SOT solid organ transplantation, HN haematological neoplasia, SON solid organ neoplasia, NEOPLASIAS neoplasias overall, HIV human immunodeficiency virus, AUTOIMMUNE RA rheumatoid arthritis, SLE systemic lupus erythematosus, IBD Inflammatory bowel disease, MS multiple sclerosis, AT autoimmune thyroiditis, AUTOIMMUNE immunodeficiency disorders and autoimmune diseases overall (See supplementary Table 1)
IC patients had double risk of hospitalization by a HZ complication (Table 3). HZ complications risk was 15% higher in women and increased exponentially with age. The risk was approximately double in COPD (vs. NO-COPD) and HF (vs. No-HF) patients and increased by 7% in patients with diabetes and by 63% in CKD population.

Recurrence of HZ

The recurrence rates (in 100 persons-year) of HZ were 1.66, 2.28 and 1.56 in the population overall, the IC and the IC-free cohorts, respectively. The highest recurrence rate was found in people with HSCT (5.5/100 persons-year), followed by people with HN (3.35/100 persons-year) and HIV (3.2/100 persons-year) (Table 5).
Table 5
Recurrence rates of HZ (per 100 persons - year), overall and by age groups and IC condition
IC condition
Recurrence rate of HZ per 100 PY (95% CI)
18–29
30–39
40–49
50–59
60–69
70–79
≥ 80
Overall
Population
0.99 (0.9–1.09)
1.13 (1.05–1.21)
1.19 (1.11–1.27)
1.31 (1.25–1.38)
1.7 (1.63–1.77)
2.2 (2.12–2.28)
2.71 (2.6–2.83)
1.66 (1.63–1.69)
IC-free cohort
0.93 (0.84–1.02)
1.08 (1–1.16)
1.1 (1.02–1.18)
1.23 (1.16–1.3)
1.62 (1.55–1.7)
2.09 (2–2.18)
2.62 (2.49–2.75)
1.56 (1.53–1.59)
IC cohort
1.88 (1.44–2.42)
1.63 (1.32–1.99)
1.87 (1.6–2.18)
1.81 (1.61–2.03)
2.08 (1.9–2.27)
2.69 (2.48–2.92)
3.13 (2.84–3.44)
2.28 (2.18–2.38)
HSCT
7.38 (1.52–21.56)
2.33 (0.28–8.4)
5.05 (2.18–9.95)
5.39 (2.87–9.22)
5.48 (3.07–9.04)
13.84 (4.49–32.31)
 
5.5 (4.03–7.34)
SOT
2.83 (0.58–8.26)
2.87 (1.15–5.92)
3.12 (1.7–5.23)
2.94 (1.94–4.28)
2.62 (1.8–3.68)
3.55 (2.38–5.1)
3.27 (1.74–5.59)
3.01 (2.5–3.58)
HN
3.32 (1.93–5.31)
1.89 (1.01–3.23)
2.04 (1.21–3.23)
3.27 (2.45–4.27)
3.08 (2.42–3.85)
4.16 (3.39–5.04)
4.03 (3.08–5.18)
3.35 (3.01–3.73)
SON
1.88 (0.39–5.5)
2.32 (1.27–3.89)
1.82 (1.23–2.58)
1.82 (1.49–2.2)
2.04 (1.78–2.33)
2.46 (2.19–2.75)
3.18 (2.81–3.58)
2.37 (2.22–2.53)
NEOPLASIAS
2.93 (1.79–4.52)
1.99 (1.3–2.91)
1.91 (1.41–2.52)
2 (1.69–2.36)
2.17 (1.92–2.43)
2.67 (2.42–2.95)
3.24 (2.89–3.62)
2.5 (2.36–2.64)
HIV
3.53 (1.3–7.69)
1.99 (1.11–3.28)
3.01 (2.22–3.99)
3.96 (2.61–5.76)
4.76 (2.38–8.52)
8.39 (2.73–19.59)
0 (0–48.47)
3.2 (2.63–3.85)
AUTOIMMUNE
1.65 (1.19–2.24)
1.48 (1.13–1.9)
1.66 (1.33–2.05)
1.62 (1.37–1.91)
2.1 (1.84–2.4)
2.84 (2.5–3.21)
3.1 (2.6–3.66)
2.12 (1.98–2.26)
RA
1.57 (0.19–5.67)
1.49 (0.48–3.47)
2.06 (1.18–3.35)
1.68 (1.12–2.43)
2.58 (2–3.28)
2.6 (1.99–3.34)
3.33 (2.42–4.48)
2.43 (2.12–2.77)
SLE
0 (0–5.28)
2.73 (0.89–6.37)
3.21 (1.39–6.33)
2.97 (1.42–5.46)
3.23 (1.48–6.13)
1.3 (0.16–4.69)
4.01 (0.83–11.71)
2.75 (1.93–3.79)
IBD
1.95 (0.71–4.24)
2.19 (1.16–3.74)
1.58 (0.82–2.77)
1.65 (0.94–2.68)
2.5 (1.64–3.63)
3.49 (2.3–5.07)
4.73 (2.97–7.16)
2.48 (2.06–2.96)
PSORIASIS
1.64 (1.06–2.42)
1.36 (0.9–1.96)
1.28 (0.85–1.85)
1.46 (1.1–1.9)
1.71 (1.34–2.16)
2.39 (1.89–2.98)
2.88 (2.04–3.96)
1.77 (1.58–1.97)
MS
0 (0–9.86)
1.59 (0.19–5.73)
4.08 (1.5–8.87)
0 (0–2.08)
2.59 (0.71–6.64)
2.89 (0.35–10.44)
0 (0–37.33)
1.94 (1.06–3.26)
AT
0 (0–9.6)
2.34 (0.28–8.45)
0.57 (0.01–3.16)
1.75 (0.71–3.61)
1.8 (0.66–3.92)
2.5 (0.81–5.84)
2.97 (0.61–8.69)
1.8 (1.15–2.68)
CI Confidence interval, IC immunocompromised, HSCT haematopoietic stem cell transplant, SOT solid organ transplantation, HN haematological neoplasia, SON solid organ neoplasia, NEOPLASIAS neoplasias overall, HIV human immunodeficiency virus, AUTOIMMUNE RA rheumatoid arthritis, SLE systemic lupus erythematosus, IBD Inflammatory bowel disease, MS multiple sclerosis, AT autoimmune thyroiditis, AUTOIMMUNE immunodeficiency disorders and autoimmune diseases overall (See supplementary Table 1)
The adjusted risk of developing a recurrent HZ increased by 25% among people with IC conditions respect to people IC-free (RR 1.25, 95% CrI: 1.19–1.31) (Table 3). The HZ recurrence was 26, 5, 63 and 20% higher for people with COPD, diabetes, HF and CKD, respectively.

Healthcare resources utilization

Overall, HZ-related healthcare resources utilization was higher in the IC-cohort than those IC-free (Table 6): their HZ-related hospitalizations were three times higher (OR 2.93; 95% CI: 2.62–3.27) with 12% longer hospital stays (Mean ratio: 1.12; 95% CI: 1.02–1.23), their HZ-specialized visits were 66% higher (RR 1.66; 95% CI: 1.57–1.76), and they attended 2% more frequently to PC (RR 1.02; 95% CI: 1.01–1.03). In addition, their average of sick leave duration in days was 18% longer (Mean ratio: 1.18; 95% CI: 1.03–1.35) and the antiviral dispensation was 20% higher than in IC-free.
Table 6
HZ- healthcare resources utilization by IC subjects in relation to IC-free
 
IC
PC visits for HZ
RR (95% CI)
1.02 (1.01–1.03)
Specialist visits for HZ
RR (95% CI)
1.66 (1.57–1.76)
Hospitalizationsa
OR (95% CI)
2.93 (2.62–3.27)
Length of hospital stay
Mean ratio (95% CI)
1.12 (1.02–1.23)
Sick leave
Mean ratio (95% CI)
1.18 (1.03–1.35)
Medication for HZ
RR (95% CI)
1.2 (1.17–1.22)
aHospitalizations with a HZ CIE-9 code in any diagnostic position; CI Confidence interval, RR Relative risk, OR Odds ratio

Discussion

This is the first large (> 4 million) population-based study to date investigating the incidence of HZ, its complications and healthcare resources utilization in ≥18-years-old adults in Spain with a wide variety of IC conditions [15]. Our study showed that the adjusted risk of HZ increased by 51% among people with IC conditions. The overall incidence of HZ among individuals with the studied IC conditions considering PC visits and hospitalizations was almost twice as high as the incidence in the IC-free cohort. All the selected IC conditions were above the estimated overall IR in the IC-free cohort, rising up to twelvefold in patients with HSCT. The IR of HZ complications was about 5 times as high in the IC as in the IC-free cohorts. All these findings support that the selected IC conditions increase the risk and severity of HZ episodes and results in higher healthcare resources utilization.
The observed IR of HZ (5.02/1000 persons-year) for the overall study population (4,382,590 individuals aged ≥18 years) is aligned with previous publications [3, 15, 36]. Despite methodological differences such as case definitions or study designs that makes difficult the comparison in absolute values, our findings are consistent with those of other countries studies assessing burden of HZ disease in subjects with different IC conditions, in which there is a strong effect of impaired immune system on the risk of HZ, being HSCT, SLE, HIV or SOT among the most prone to develop a HZ [5, 26, 27]. Concretely in UK, with a study population of 3,698,346, HZ IRs in IC subpopulations raised up to sevenfold for HSCT patients [26], being the most susceptible to HZ as in other publications [3, 5, 27].
In our study, the IC-cohort represented around 13% of the study population. This percentage is difficult to compare among previous studies from different countries in which the values fluctuate from 1.86 in Japan [27] to 16.8 in UK [26] or 25.5–34 in Germany [5], depending on the selected IC conditions, case definitions, observation period and overall methodological heterogeneity. Nevertheless, aligned with these studies, ours reflects that this IC population involves an excesive proportion of the burden of HZ in Spain, with an overall risk of HZ 51% higher than IC-free population. Interestingly, risks estimations showed in our study were modeled using multivariate models. This is a qualitative difference with previous studies [3, 5, 26, 27] where risks estimations were based on rate comparisons, therefore, they are more prone to bias.
Considering all HZ-related complications, we showed that IC patients have more than twice the risk of hospitalization by a HZ complication than IC-free people. 70% of the HZ-related complications were associated to the CNS, with PHN as the most common. In our previous studies we described that 15.7% of the total HZ cases developed in people above 50 years old resulted in PHN lasting for at least three months after the acute phase of a HZ [1, 16, 17]. Note that the impact and burden of PHN in those studies could have been underestimated, as subjects with IC conditions were excluded from the study population. This decision was made to avoid confusion, since the only licensed vaccine at the time was the live attenuated vaccine, which is contraindicated for IC population. Despite the differences regarding population and objectives, these studies are complementary and allow us to conclude that HZ complications pose a great threat to IC patients, worsening their health status and raising the amount of health resources required.
Most of the publications agree that the risk of developing an HZ rises significantly with age, most likely caused by the decreasing cell-mediated immune response to the VZV due to the immunosenescence [32, 37]. This same upward trend is also observed in IC cohort with higher HZ IRs respect to IC-free in all age groups. Interestingly, the IR of HZ in the IC-population aged 50–59 years (9.55 cases/1000 persons-year) was comparable to the one in people aged 80+ in the IC-free group (9.54 cases/1000 persons-year), which indicates that patients with IC conditions are prone to develop HZ at a younger age than individuals IC-free. Age was a variable also associated with an increased risk of suffering HZ hospitalizations, HZ complications and HZ recurrence.
The recurrence rate of HZ ranged from < 1.5 to 6.8% among different studies [36]. Results variations depended on the age, immune status of the study population and, especially, on the follow-up period, being higher in studies with longer follow-up periods [36]. In our study, the Poisson regression analysis showed that the adjusted HZ-recurrence relative risk was 1.25 times higher in patients with IC conditions than in IC-free.
In addition to age and comorbidities, female gender has also shown an increased risk of developing HZ and suffering recurrences and PHN. This result is also in concordance with previous publications [3840]. It has been hypothesized that it could be due to differences in responses to latent viral infections, which is supported by the gender difference also reported in the incidence of herpes simplex [39]. However, sex differences regarding care-seeking behaviour could be also influencing these results based on secondary data [5]. A clue pointing in that direction could be the almost but not significant differences between men and women when HZ related complications were studied in hospitalization registers in the present study, although more research in this regard is required to draw conclusions.
The greatest strength of our study is, without a doubt, the large study population and the VID, a network of electronic health databases where all the information on each subject (demographic, hospital, PC, specialist, drug prescription and dispensation, etc.) can be linked at the patient level. However, some of its limitations are worth mentioning. Firstly, HZ-related hospitalization rates found are higher than other previously published. It probably represents an overestimation as we considered hospitalizations with HZ diagnoses in any diagnostic position and HZ could represent a secondary diagnosis. Secondly, the proportion of IC population increased during the study period. One of the reasons could be related to IC-cohort case definition, since once a diagnosis of a chronic IC condition was registered the patient remained in the IC-cohort group until the end of the follow-up period. It should also be considered that the individuals with none of the selected IC conditions diagnosed could be not necessarily immunocompetent. On the other hand, severity grade of the studied IC conditions and IC-related therapies have not being considered in this study which may impact the HZ IR and its complications. This lack opens the way for new research in this regard looking for associations between the severity or therapy and time to HZ episode.
As we previously have shown for some other underlying conditions such as Diabetes, COPD, or HF [16, 17], the greater risk of HZ in cohorts with IC conditions is linked to an increase in the utilization of health care resources. They attended more frequently to PC and specialized clinics due to HZ, were hospitalized more often and during longer periods, consumed more antivirals and their sick leaves due to HZ were longer. These data suggest that HZ episodes were more severe in the IC-cohort, contributing to a great reduction in their quality of life and increasing their healthcare-related costs, as previously indicated [4143].

Conclusion

In this study we estimate the burden of HZ disease in people with IC conditions in a Spanish Region of 5 million inhabitants. All the IC conditions studied were above the estimated overall IR in the IC-free cohort and the IR of HZ complications was about 5 times as high in the IC as in the IC-free cohorts. In conclusion, the selected IC conditions increase the risk and severity of HZ episodes and result in higher healthcare resources utilization. This first step should be followed by cost effectiveness studies that help us establishing the value of vaccinating these groups of patients when the new prevention strategies become approved in those risk groups.

Supplementary Information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12879-020-05648-6.

Acknowledgements

Not Applicable.
The study protocol, observational in design and using retrospective anonymized non-identifiable data transferred from the Valencia Ministry of Health to the research team according to the Spanish laws and institutional requirements, was approved by the Ethics Committee of Dirección General de Salud Pública / Centro Superior de Investigación en Salud Pública (CEIC DGSP-CSISP). The Valencia Health System Data Commission [28] granted permission for the transfer of specific anonymized data for the study development. Additionally, being that it is a retrospective study with 6 years of study period (2009–2014), it would have been not possible to get individual informed consent from the whole population studied (more than 4 million inhabitants). Based on Helsinki’s Declaration (principle 32) and the Law of Biomedical Reseach in Spain (Art. 58.2), the Ethics Committee accepted the exemption.
Not Applicable.

Competing interests

JDD and his institution received research grants from GSK and SPMSD related to HZ vaccine. He also acted as advisor for these vaccines to GSK and SPMSD. CMQ, AOS and MLL have attended to several congresses whose registration, travel and accommodation costs have been covered by GSK and SPMSD.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. 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 in a credit line to the data.

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Metadaten
Titel
Herpes zoster risk and burden of disease in immunocompromised populations: a population-based study using health system integrated databases, 2009–2014
verfasst von
Cintia Muñoz-Quiles
Mónica López-Lacort
Javier Díez-Domingo
Alejandro Orrico-Sánchez
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Infectious Diseases / Ausgabe 1/2020
Elektronische ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-020-05648-6

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