Literature DB >> 32366492

Risk of first and recurrent serious infection in sarcoidosis: a Swedish register-based cohort study.

Marios Rossides1, Susanna Kullberg2,3, Anders Eklund2,3, Daniela Di Giuseppe4, Johan Grunewald2,3, Johan Askling4,5, Elizabeth V Arkema4.   

Abstract

Serious infections impair quality of life and increase costs. Our aim was to determine if sarcoidosis is associated with a higher rate of serious infection and whether this varies by age, sex, time since diagnosis or treatment status around diagnosis.We compared individuals with sarcoidosis (at least two International Classification of Diseases codes in the Swedish National Patient Register 2003-2013; n=8737) and general population comparators matched 10:1 on age, sex and residential location (n=86 376). Patients diagnosed in 2006-2013 who were dispensed at least one immunosuppressant ±3 months from diagnosis (Swedish Prescribed Drug Register) were identified. Cases and comparators were followed in the National Patient Register for hospitalisations for infection. Using Cox and flexible parametric models, we estimated adjusted hazard ratios (aHR) and 95% confidence intervals for first and recurrent serious infections (new serious infection >30 days after previous).We identified 895 first serious infections in sarcoidosis patients and 3881 in comparators. The rate of serious infection was increased 1.8-fold in sarcoidosis compared to the general population (aHR 1.81, 95% CI 1.65-1.98). The aHR was higher in females than males and during the first 2 years of follow-up. Sarcoidosis cases treated with immunosuppressants around diagnosis had a three-fold increased risk, whereas nontreated patients had a 50% increased risk. The rate of serious infection recurrence was 2.8-fold higher in cases than in comparators.Serious infections are more common in sarcoidosis than in the general population, particularly during the first few years after diagnosis. Patients who need immunosuppressant treatment around diagnosis are twice as likely to develop a serious infection than those who do not.
Copyright ©ERS 2020.

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Year:  2020        PMID: 32366492      PMCID: PMC7469972          DOI: 10.1183/13993003.00767-2020

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


Introduction

Serious hospitalised infections (“serious infections”) are associated with impaired quality of life and high costs, particularly if they are recurrent [1-4]. In addition, they contribute to the higher rate of premature death seen in sarcoidosis [4], but data on serious infection risks in sarcoidosis are limited. In other better-studied inflammatory diseases, serious infection risks are higher than in the general population and are often attributed to immunosuppressant treatment that is prescribed to almost all patients [5, 6]. However, risks from other inflammatory diseases cannot be readily extrapolated to sarcoidosis because ∼60% of individuals with sarcoidosis do not need immunosuppressant treatment. Additionally, sarcoidosis resolves within <5 years from diagnosis in about half of patients [7]. In sarcoidosis, serious infection risks in comparison to the general population were investigated in only one study from the United States. In that study of 345 patients diagnosed between 1976 and 2013, a two-fold increased rate of serious infection compared to the general population was reported [8]. The rate ratio for serious infection was even higher (2.4) in patients who received immunosuppressants during the course of their disease [8]. It is unclear whether similar results can be obtained from contemporary and larger population-based sarcoidosis cohorts. Moreover, it remains uncertain which patients exhibit these perceived high risks for serious infection and whether they are at higher risk for developing recurrent serious infections. This information could prove particularly useful to properly target patient groups who can benefit from preventive interventions. To answer these unresolved questions, large and longitudinal data are required. We therefore used Swedish register data to investigate serious infection in sarcoidosis. Our aim was to estimate relative risks of first and recurrent serious infection associated with sarcoidosis and examine if these varied by age at diagnosis, sex, treatment status around diagnosis, or time since diagnosis.

Methods

Study setting and data sources

In Sweden, the healthcare system is tax-funded and universally accessible to residents. Data generated by interaction with the healthcare system are captured in registers and can be linked using an individual's unique identification number. We created a large cohort of individuals with and without sarcoidosis by linking several nationwide and population-based registers. We collected information on hospitalisations and outpatient visits to specialist care from the National Patient Register (NPR; nationwide coverage since 1987 and 2001, on hospitalisations and outpatient visits, respectively). Data quality is high [9], but results of histological or imaging examinations are not available in the NPR. Prescription medication dispensations were obtained from the Prescribed Drug Register (PDR); these were available starting July 2005.

Study population

Using inpatient and outpatient visit data in the NPR, we identified all individuals who had two or more visits listing an International Classification of Diseases (ICD) code for sarcoidosis between January 1, 2003 and December 31, 2013. ICD codes are listed in supplementary table S1. Because most sarcoidosis cases are diagnosed in outpatient clinics [10], we allowed for 2 years of outpatient visit data to accumulate in the NPR so that we could capture newly diagnosed cases. We further classified all individuals with sarcoidosis diagnosed starting January 1, 2006 into those treated or not for sarcoidosis around the time of diagnosis. Cases who were dispensed systemic corticosteroids, methotrexate or azathioprine within 3 months before or after the first visit for sarcoidosis (PDR data) were allocated to the treated group (supplementary table S1). We used treatment as an indicator of sarcoidosis severity around diagnosis [4, 7] and to study the role of treatment on the risk of serious infection. At second visit for sarcoidosis, each case was matched on birth year, sex and residential location to up to 10 general population comparators sampled from the total population register, who had no history of sarcoidosis at the time. To reduce sarcoidosis misclassification, we excluded cases and comparators aged <18 or >85 years and those with a haematopoietic or lung malignancy recorded in the Swedish Cancer Register 6 months before or after the first visit for sarcoidosis or corresponding date for comparators (supplementary table S1). Ethical permission was provided by the regional ethics review board in Stockholm (2014/230-31).

Follow-up for first and recurrent serious infection

The outcome, serious infection, was defined as a hospitalisation in the NPR listing an ICD code for an infectious disease (supplementary table S1). To minimise misclassification, infectious disease had to be the primary discharge diagnosis. We followed sarcoidosis cases and comparators from inclusion (second visit for sarcoidosis or corresponding date for comparators) to first admission for serious infection, death (Cause of Death Register), emigration (Total Population Register) or December 31, 2013, whichever occurred first. We identified the 10 most common diagnoses in cases and comparators and reported the frequency of serious opportunistic infections (i.e. aspergillosis, candidiasis, tuberculosis, other mycobacterial infections and pneumocystosis). In addition, we examined recurrent unrelated serious infections by allowing for a serious infection to occur >30 days after the previous, irrespective of length of hospital stay. In both cases and comparators, occurrence of more than six serious infections was infrequent. To ensure statistical model stability, we allowed for only up to six recurrent serious infections per individual. To investigate the extent of differential loss to follow-up in the sarcoidosis and comparator groups, we identified deaths and deaths due to serious infection in the Cause of Death Register. For analyses of recurrent infections, follow-up started at inclusion and ended at the last serious infection (maximum six events per individual), death, emigration or December 31, 2013, whichever came first.

Other variables

Confounding variables were evaluated at baseline using data obtained from various registers (supplementary table S1). Briefly, we collected information on birth date (to calculate age), sex, birth country (grouped into Nordic and non-Nordic), residential location (grouped into six healthcare regions), civil status (married or in registered partnership, or other), years of education (≤9, 10–12, ≥13 years or missing) and salary earned the year before inclusion adjusted for 2014 inflation (www.statistikdatabasen.scb.se; SEK 0–<100 000, 100 000–<300 000, 300 000–<600 000, ≥600 000 or missing). In addition, we approximated general health status at inclusion by counting the total number of inpatient or outpatient visits in the NPR within 2 years before the first sarcoidosis visit or corresponding date for comparators (grouped into 0, 1–3, ≥4 visits). We also identified comorbidity associated with serious infections (autoimmune disease in study participants or first degree relatives (data from the Swedish Multi-Generation Register), primary immunodeficiency, stroke, diabetes, etc.) requiring at least one or at least two visits in the NPR or two or more dispensations in the PDR, as appropriate (supplementary table S1). To better describe baseline serious infection risk, we reported history of serious infection in the past year and dispensations of sarcoidosis treatments and antimicrobials (i.e. antibacterial, antimycobacterial, antifungal or antiviral medications) within 6 months before inclusion (supplementary table S1).

Statistical analysis

We estimated stabilised inverse probability of sarcoidosis weights that allowed us to obtain marginal adjusted estimates in subsequent analyses (details in the supplementary methods and table S2). Using weighted Poisson regression models, we estimated adjusted rates and rate differences for serious infections and their corresponding 95% confidence intervals. To compare sarcoidosis to the general population, we used Cox models with follow-up years as the time scale and the weights to estimate adjusted hazard ratios (aHR). In addition, hazard ratios from unweighted models were reported. Because the risk of serious infection associated with sarcoidosis varied over time, therefore violating the Cox proportionality of hazards assumption, we used flexible parametric survival models [11] specified as described in the supplementary material. We plotted aHRs and marginal cumulative probabilities (risks) for sarcoidosis overall and by treatment status around diagnosis (treated/untreated). We further stratified our analyses by age at inclusion (18–44, 45–64 or 65–85 years), sex, history of autoimmune disease and treatment status around diagnosis and examined modification of the aHRs by these factors using a likelihood ratio test. Because medication dispensation data became available mid-2005, analyses by treatment status were performed in a subset of the population (77%) that entered the cohort starting 2006. We modelled recurrent serious infections by adding a γ-frailty term to Cox and flexible parametric survival models to account for unobserved heterogeneity among individuals (refer to supplementary material for model specification). In sensitivity analyses, we used a stricter definition for serious infection requiring at least one dispensation of an antimicrobial ±15 days of the hospital admission for serious infection to check whether misclassification of serious infection could affect our results. In addition, assuming pneumonias were more likely in sarcoidosis due to repeated lung imaging, we excluded pneumonias from the definition of serious infection in both sarcoidosis and comparators. Additionally, we disregarded urinary tract infections to assess whether hospital-acquired infections could explain the association. Furthermore, to examine how a lower threshold for hospitalisation for serious infection in sarcoidosis could affect our findings, we required comparators to have a visit in the NPR within 2 years before inclusion. Last, to test our results in the presence of sarcoidosis misclassification, we excluded cases and comparators with a history of serious infection within a year before the first sarcoidosis visit or the corresponding date for comparators and investigated serious infection in sarcoidosis cases diagnosed by pulmonologists at Karolinska University Hospital in Stockholm and registered in the local cohort. Data were processed and analysed using SAS software version 9.4 (SAS Institute Inc., Cary, NC, USA) and R version 3.6.2 (R Core Team, R Foundation for Statistical Computing, Vienna, Austria).

Results

We compared 8737 sarcoidosis cases to 86 376 matched general population comparators. Of cases diagnosed in 2006–2013, 41% were treated with immunosuppressants around diagnosis. Cases and comparators were aged mean±sd 50±14.7 years and 45% were female (table 1). At baseline, socioeconomic position was similar between the two groups, but history of morbidity, especially that of hypertension, diabetes and autoimmune disease was more prevalent in sarcoidosis cases. Cases were more likely to have a history of serious infection in the year before inclusion (4% versus 1%) and to have been dispensed an immunosuppressive or antimicrobial treatment in the previous 6 months.
TABLE 1

Demographic and clinical characteristics at inclusion of individuals with sarcoidosis and their matched general population comparators

Sarcoidosis General population
Subjects n 873786 376
Age years 49.8±14.849.8±14.7
Female 44.544.6
Born in non-Nordic country# 9.511.8
Education attained years
 ≤920.620.8
 10–1249.146.4
 ≥1329.231.6
 Missing1.21.2
History of comorbidity
 Congestive heart disease2.41.3
 Atrial fibrillation3.22.1
 Acute myocardial infarction2.11.8
 Stroke1.71.6
 COPD2.31.0
 Asthma4.62.4
 Hypertension21.415.9
 Diabetes mellitus7.54.2
 Dyslipidaemia10.88.2
 Autoimmune disease7.94.3
 Primary immunodeficiency0.40.1
Serious infection in the past year 3.90.8
≥1 medication dispensed in the past 6 months n=6723n=66 441
 Systemic corticosteroids18.72.9
 Other immunosuppressants+1.20.7
 Hydroxychloroquine0.10.1
 Inhaled corticosteroids7.31.9
 NSAIDs26.39.7
 Antimicrobials§32.613.2

Data are presented as mean±sd or %, unless otherwise stated. Percentages may not sum to 100 owing to rounding. NSAIDs: nonsteroidal anti-inflammatory drugs. #: Nordic countries: Sweden, Denmark, Norway, Finland and Iceland (category excludes missing <0.5%); ¶: ascertained in individuals who entered the cohort starting January 1, 2006 for whom medication dispensations could be obtained from the Prescribed Drug Register; +: includes methotrexate, azathioprine and leflunomide; §: includes antibacterial, antimycobacterial, antifungal and antiviral medications.

Demographic and clinical characteristics at inclusion of individuals with sarcoidosis and their matched general population comparators Data are presented as mean±sd or %, unless otherwise stated. Percentages may not sum to 100 owing to rounding. NSAIDs: nonsteroidal anti-inflammatory drugs. #: Nordic countries: Sweden, Denmark, Norway, Finland and Iceland (category excludes missing <0.5%); ¶: ascertained in individuals who entered the cohort starting January 1, 2006 for whom medication dispensations could be obtained from the Prescribed Drug Register; +: includes methotrexate, azathioprine and leflunomide; §: includes antibacterial, antimycobacterial, antifungal and antiviral medications. After a median 4.8 years (95% CI 4.8–4.9 years; similar in cases and comparators), we observed 895 first serious infections in sarcoidosis (rate 17.4, 95% CI 16.0–18.9 per 1000 person-years) and 3881 serious infections in comparators (rate 9.6, 95% CI 9.3–9.9 per 1000 person-years) (table 2). In both groups, the most common serious infection was pneumonia (∼25%; supplementary table S3) and opportunistic serious infections were infrequent (supplementary table S4). Risk of serious infection by follow-up years are depicted in figure 1 and risks at 6 months, 5 and 10 years are summarised in supplementary figure S1.
TABLE 2

Rates, rate differences and hazard ratios (HRs) for first serious infection comparing sarcoidosis to the general population

Sarcoidosis General population Adjusted rate difference per 1000 person-years # (95% CI) Hazard ratio # (95% CI) Adjusted hazard ratio # (95% CI)
Events Adjusted rate per 1000 person-years # (95% CI) Events Adjusted rate per 1000 person-years # (95% CI)
Subjects 873786 376
Overall 89517.4 (16.0–18.9)38819.6 (9.3–9.9)7.8 (6.3–9.2)2.40 (2.23–2.58)1.81 (1.65–1.98)
Age at inclusion years
 18–442228.8 (7.4–10.5)9375.1 (4.8–5.4)3.7 (2.2–5.3)2.39 (2.07–2.77)1.74 (1.44–2.09)
 45–6432716.1 (14.0–18.5)13348.5 (8.0–8.9)7.6 (5.4–9.9)2.58 (2.28–2.91)1.90 (1.64–2.20)
 65–8534658.3 (51.1–66.4)161027.0 (25.7–28.3)31.3 (23.5–39.1)2.45 (2.18–2.75)2.16 (1.88–2.49)
Sex
 Female43521.6 (19.2–24.3)193810.7 (10.3–11.2)10.9 (8.3–13.5)2.36 (2.13–2.62)2.01 (1.78–2.28)
 Male46014.3 (12.7–16.1)19438.7 (8.3–9.1)5.6 (3.8–7.4)2.45 (2.21–2.71)1.64 (1.45–1.87)
Treatment status around diagnosis,+
 Treated32629.8 (25.9–34.3)9489.8 (9.2–10.4)20.0 (15.8–24.2)3.70 (3.26–4.19)3.04 (2.61–3.55)
 Not treated27515.7 (13.5–18.3)142810.2 (9.7–10.8)5.5 (3.1–7.9)1.96 (1.72–2.23)1.53 (1.31–1.80)

Data are presented as n, unless otherwise stated. #: rates and rate differences were estimated using Poisson regression models weighted for inverse probability of sarcoidosis weights. Hazard ratios were estimated using Cox proportional hazards regression models with years of follow-up as the time scale in a cohort matched on age, sex and residential location. Adjusted hazard ratios were estimated using inverse probability of sarcoidosis weights; ¶: p-value for effect measure modification from a likelihood ratio test for the adjusted models: age at inclusion (p=0.10), sex (p=0.01), treatment status around diagnosis (p<0.001); +: assessed in a subset of individuals who entered the cohort starting January 1, 2006 (treated analysis: sarcoidosis n=2762, general population n=27 325; not treated analysis: sarcoidosis n=3961, general population comparators n=39 116).

FIGURE 1

Risk of first serious infection in individuals with sarcoidosis (overall and stratified by treatment status around diagnosis) and their general population comparators. Treatment data were available for individuals with sarcoidosis entering the cohort starting 2006, hence follow-up for those was shorter than overall sarcoidosis and the general population comparators.

Rates, rate differences and hazard ratios (HRs) for first serious infection comparing sarcoidosis to the general population Data are presented as n, unless otherwise stated. #: rates and rate differences were estimated using Poisson regression models weighted for inverse probability of sarcoidosis weights. Hazard ratios were estimated using Cox proportional hazards regression models with years of follow-up as the time scale in a cohort matched on age, sex and residential location. Adjusted hazard ratios were estimated using inverse probability of sarcoidosis weights; ¶: p-value for effect measure modification from a likelihood ratio test for the adjusted models: age at inclusion (p=0.10), sex (p=0.01), treatment status around diagnosis (p<0.001); +: assessed in a subset of individuals who entered the cohort starting January 1, 2006 (treated analysis: sarcoidosis n=2762, general population n=27 325; not treated analysis: sarcoidosis n=3961, general population comparators n=39 116). Proportion of individuals and median time to recurrent serious infection and death, and hazard ratio for recurrent serious infection comparing individuals with sarcoidosis to the general population Data are presented as n, n (%) or median (interquartile range), unless otherwise stated. #: serious infection coded as underlying or contributing cause of death on the death certificate (data from the Cause of Death Register); ¶: within-individual hazard ratio estimated from a Cox proportional hazards model with a γ-frailty term (per individual; a shared frailty model). Adjusted hazard ratio estimated using inverse probability of sarcoidosis weights. Risk of first serious infection in individuals with sarcoidosis (overall and stratified by treatment status around diagnosis) and their general population comparators. Treatment data were available for individuals with sarcoidosis entering the cohort starting 2006, hence follow-up for those was shorter than overall sarcoidosis and the general population comparators. The aHR for serious infection comparing sarcoidosis to comparators was 1.81 (95% CI 1.65–1.98). However, there was notable variation by years of follow-up: the aHR was highest (increased approximately three-fold) around start of follow-up and decreased to ∼1.4 within 2 years (figure 2 (aHRs) and supplementary figure S2 (rates)). The aHR for first serious infection was similar across age groups, but it was higher in females compared to males (2.01 versus 1.64, p=0.01) and in individuals treated compared to those not receiving immunosuppressive treatment around diagnosis (3.04 versus 1.53, p<0.001; table 2).
FIGURE 2

Adjusted hazard ratios for first serious infection by follow-up years comparing individuals with sarcoidosis to the general population.

Adjusted hazard ratios for first serious infection by follow-up years comparing individuals with sarcoidosis to the general population. Recurrent serious infections were twice as likely in sarcoidosis compared to the general population (within-individual aHR 2.79, 95% CI 2.51–3.10; table 3) with variation of the aHR during follow-up (supplementary figure S3). In sensitivity analyses depicted in table 4, the aHR did not change considerably when pneumonias or urinary tract infections were disregarded or when individuals with a history of serious infection in the past year were excluded. However, it increased slightly when an antimicrobial medication dispensation was required around the time of admission for serious infection (aHR 2.23, 95% CI 1.96–2.54). The association weakened when we required comparators to have a NPR visit within 2 years before inclusion (aHR for overall sarcoidosis 1.23, 95% CI 1.12–1.35; treated and untreated sarcoidosis aHR 2.08 and 1.03, respectively). Lastly, we observed an aHR for serious infection of 1.49 (95% CI 1.02–2.18) in the sarcoidosis cohort at Karolinska.
TABLE 4

Rates and hazard ratios for first serious infection comparing sarcoidosis to the general population in sensitivity analyses

Individuals at risk Events Adjusted rate per 1000 person-years # (95% CI) Hazard ratio # (95% CI) Adjusted hazard ratio # (95% CI)
Hospitalisation and ≥1 dispensation of an antimicrobial ±15 days from hospital admission
 Sarcoidosis672342714.7 (13.0–16.6)2.82 (2.53–3.14)2.23 (1.96–2.54)
 General population66 44115626.6 (6.3–6.9)1.00 (Referent)1.00 (Referent)
Excluding pneumonias from serious infection definition
 Sarcoidosis873769413.1 (11.9–14.4)2.32 (2.14–2.52)1.72 (1.56–1.90)
 General population86 37630887.6 (7.3–7.9)1.00 (Referent)1.00 (Referent)
Excluding urinary tract infections from serious infection definition
 Sarcoidosis873786616.8 (15.4–18.3)2.51 (2.33–2.70)1.89 (1.72–2.07)
 General population86 37636008.9 (8.6–9.2)1.00 (Referent)1.00 (Referent)
Requiring comparators to have ≥1 healthcare visit in the NPR within 2 years before first visit for sarcoidosis or corresponding date in comparators
 Sarcoidosis, overall873789517.4 (16.0–18.9)1.59 (1.48–1.72)1.23 (1.12–1.35)
 General population42 406270414.2 (13.6–14.7)1.00 (Referent)1.00 (Referent)
 Sarcoidosis, treated276232629.8 (25.9–34.3)2.45 (2.15–2.80)2.08 (1.77–2.43)
 General population13 85269614.4 (13.3–15.5)1.00 (Referent)1.00 (Referent)
 Sarcoidosis, not treated396127515.7 (13.5–18.3)1.28 (1.12–1.46)1.03 (0.88–1.22)
 General population19 802105415.2 (14.3–16.2)1.00 (Referent)1.00 (Referent)
Excluding individuals with a serious infection within a year before first visit for sarcoidosis or corresponding date in comparators
 Sarcoidosis839680216.3 (15.0–17.9)2.30 (2.13–2.49)1.77 (1.61–1.95)
 General population85 67837169.2 (8.9–9.5)1.00 (Referent)1.00 (Referent)
In Karolinska clinical cohort
 Sarcoidosis6934711.1 (7.8–15.9)1.80 (1.32–2.46)1.49 (1.02–2.18)
 General population68672617.4 (6.6–8.4)1.00 (Referent)1.00 (Referent)

Data are presented as n, unless otherwise stated. NPR: National Patient Register. #: adjusted rates and adjusted hazard ratios were estimated using Poisson or Cox regression models weighted for inverse probability of sarcoidosis weights and years of follow-up as the time scale. Hazard ratios obtained from a cohort matched on age, sex and residential location; ¶: ascertained in individuals included starting January 1, 2006 for whom medication dispensations could be obtained from the Prescribed Drug Register.

Rates and hazard ratios for first serious infection comparing sarcoidosis to the general population in sensitivity analyses Data are presented as n, unless otherwise stated. NPR: National Patient Register. #: adjusted rates and adjusted hazard ratios were estimated using Poisson or Cox regression models weighted for inverse probability of sarcoidosis weights and years of follow-up as the time scale. Hazard ratios obtained from a cohort matched on age, sex and residential location; ¶: ascertained in individuals included starting January 1, 2006 for whom medication dispensations could be obtained from the Prescribed Drug Register.

Discussion

In this large nationwide investigation, we found that sarcoidosis was associated with an overall 1.8-fold increased rate of first serious hospitalised infection. Serious infections occurred at a higher rate during the first 2 years since sarcoidosis diagnosis compared to the rest of follow-up. In individuals treated with immunosuppressants around the time of sarcoidosis diagnosis, the risk of serious infection was double the risk of those who did not receive treatment. Compared to the general population, individuals with sarcoidosis were more likely to develop multiple serious infections. Our main finding of an almost two-fold increased rate of serious infection in sarcoidosis compared to the general population is in line with a report from the United States [8]. In that cohort of 345 primarily white American patients, investigators observed similar 10-year risks and rate ratios for serious infection to ours. We additionally found a slightly higher aHR for serious infection in females (2.0) than in males (1.6), but no differences by age at diagnosis. Two key factors are likely to explain the higher risk for first and recurrent serious infection in sarcoidosis, especially the spike in serious infections during the first 2 years after sarcoidosis diagnosis. During this time, patients are under frequent follow-up and ∼40% receive immunosuppressants [10]. As indicated in sensitivity analyses and previous research [12], the peak in serious infection risk could be partly explained by the increased healthcare interaction, or possibly a lower threshold of hospitalisation for infection. However, our analyses suggested that initiation of immunosuppressants, particularly that of systemic corticosteroids, remains a major risk factor for serious infection in sarcoidosis. In our study, individuals with sarcoidosis who were treated around diagnosis (almost all with corticosteroids) had a three-fold increased rate of serious infection, whereas those who were not had a 50% increased rate. Corticosteroids indisputably play some part in serious infection occurrence [8, 13, 14]. At the same time, we cannot rule out that sarcoid inflammation itself is responsible for some of the risk increase. Indeed, patients with sarcoidosis who do not require treatment around diagnosis are at a notably higher risk for serious infection than general population comparators. In addition, the decline in the rate of serious infection in sarcoidosis coincides with disease remission, which in ∼50% of patients is independent of treatment [7]. The pathophysiological mechanisms that could elucidate these complex phenomena have yet to be adequately understood. Possibly, sarcoid inflammation triggers a state of anergy towards pathogens [15] that is presumably amplified by immunosuppressant agents. The rate of serious infection is lower in sarcoidosis than in some autoimmune diseases that have been investigated using similar data. Rates ranging from 12 to 39 per 1000 person-years were reported in rheumatoid arthritis [16-18] and up to 100 per 1000 person-years in lupus [5, 20]. Relative to the general population, these rates vary from an increase of approximately two-fold in rheumatoid arthritis [16-19] to up to 10-fold higher in lupus [20]. In other respiratory diseases, the aHR for serious infection was lower in asthma than in sarcoidosis (aHR 1.5) [21], whereas in COPD a much higher aHR of 5.0 was reported [22]. Because differences partly depend on distribution of factors that vary amongst diseases (e.g. age, sex, treatment and study period), they should be interpreted with caution. Individuals with sarcoidosis are more likely to be hospitalised for multiple serious infections. True risks of recurrence of serious infection are possibly higher than reported considering that premature death, which is more likely in sarcoidosis, prevents serious infections from recurring. Because recurrence has a negative impact on quality of life and is an indicator of high mortality [1, 2, 4], future investigations are warranted to identify patients at risk for recurrence that could benefit from preventive interventions. There are several limitations to our study, of which misclassification of serious infection is the most prominent, because serious infections could not be validated using microbiological examination results. Serious infection misclassification was more probable in sarcoidosis since one in four serious infections was a pneumonia, which may share a similar clinical picture with the disease. To address this limitation, we used a strict definition requiring serious infection to be the primary discharge diagnosis, excluded all pneumonias or required a dispensation of an antimicrobial in addition to the hospital admission. These changes in serious infection definition had little effect on our results. Furthermore, we did not have information on lifestyle factors (e.g. smoking) or vaccination rates among sarcoidosis cases and comparators. Based on previously published bias simulations for smoking [4], we expect that the true association between sarcoidosis and serious infection is somewhat stronger than the one reported here. Similarly, if individuals with sarcoidosis were more likely to be vaccinated, the observed findings may reflect an underestimation of the truth. Due to the lack of detailed clinical information in the NPR, it is likely that there was some misclassification of sarcoidosis. However, preliminary validation data suggest that the accuracy of our definition is high (positive predictive value >90%; unpublished data), and as we have shown previously [4, 23], our results are robust to nondifferential misclassification of sarcoidosis. In addition, we observed an association in the Karolinska sarcoidosis cohort despite small numbers and differences in serious infection predictors at baseline (e.g. age and treatment status; data not shown). We stratified our analyses by treatment status around diagnosis, but there were other comorbidities such as autoimmune diseases that were more prevalent in sarcoidosis than in the general population, which may also modify the risk. In a post hoc analysis, we found similar results stratifying by history of autoimmune disease (aHR for serious infection, 1.7 for history of autoimmune disease versus 1.8 for no history). Lastly, in the absence of a severity index for sarcoidosis that is independent of treatment, we could not distinguish between serious infections caused by treatment or sarcoid inflammation. Nonetheless, by using longitudinal register data we were able to obtain a large and unselected sarcoidosis population, study recurrent serious infections and eliminate losses to follow-up. We expect our findings to be generalisable to populations in which modifiers of serious infection risk, such as healthcare standards, thresholds for hospitalisation, vaccination and treatment patterns are similar to those in Sweden. In summary, sarcoidosis is associated with a higher risk of serious infection compared to the general population, especially during the first 2 years after diagnosis. Individuals treated around the time of sarcoidosis diagnosis, probably due to severe symptoms or impaired organ function, are at noticeably higher risk of serious infection. Although we cannot withhold pharmacological treatment in patients who need it, we should further examine which measures such as vaccinations, closer follow-up or prescription of steroid-sparing medications could alleviate the excess risk of serious infection in these patients. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary material ERJ-00767-2020.SUPPLEMENT This one-page PDF can be shared freely online. Shareable PDF ERJ-00767-2020.Shareable
TABLE 3

Proportion of individuals and median time to recurrent serious infection and death, and hazard ratio for recurrent serious infection comparing individuals with sarcoidosis to the general population

Sarcoidosis General population
Subjects Years to event Subjects Years to event
Subjects 873786 376
Serious infection
 07841 (89.7)82 493 (95.5)
 11224 (14.0)1.9 (0.6–4.1)6158 (7.1)2.9 (1.3–5.2)
 2489 (5.6)2.9 (1.3–5.0)1536 (1.8)4.2 (2.3–6.2)
 3248 (2.8)3.8 (1.6–5.5)696 (0.8)4.9 (2.7–6.4)
 4150 (1.7)4.4 (2.6–5.7)305 (0.4)5.4 (3.2–6.9)
 584 (1.0)5.4 (3.3–6.8)150 (0.2)5.6 (2.9–7.5)
 6105 (1.2)6.2 (4.2–7.4)224 (0.3)5.2 (3.6–7.5)
Death
 Overall539 (5.3)2.7 (1.1–5.4)3010 (3.3)3.6 (1.8–5.8)
 Due to serious infection#109 (1.2)499 (0.6)
Hazard ratio for recurrent serious infection (95% CI)
 Crude3.30 (2.99–3.64)1.00 (referent)
 Adjusted2.79 (2.51–3.10)1.00 (referent)

Data are presented as n, n (%) or median (interquartile range), unless otherwise stated. #: serious infection coded as underlying or contributing cause of death on the death certificate (data from the Cause of Death Register); ¶: within-individual hazard ratio estimated from a Cox proportional hazards model with a γ-frailty term (per individual; a shared frailty model). Adjusted hazard ratio estimated using inverse probability of sarcoidosis weights.

  21 in total

1.  Familial aggregation and heritability of sarcoidosis: a Swedish nested case-control study.

Authors:  Marios Rossides; Johan Grunewald; Anders Eklund; Susanna Kullberg; Daniela Di Giuseppe; Johan Askling; Elizabeth V Arkema
Journal:  Eur Respir J       Date:  2018-08-16       Impact factor: 16.671

2.  Do Death Certificates Underestimate the Burden of Rare Diseases? The Example of Systemic Lupus Erythematosus Mortality, Sweden, 2001-2013.

Authors:  Titilola Falasinnu; Marios Rossides; Yashaar Chaichian; Julia F Simard
Journal:  Public Health Rep       Date:  2018-06-21       Impact factor: 2.792

3.  Burden of Serious Infections in Adults With Systemic Lupus Erythematosus: A National Population-Based Study, 1996-2011.

Authors:  Maria G Tektonidou; Zhong Wang; Abhijit Dasgupta; Michael M Ward
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-08       Impact factor: 4.794

Review 4.  Sarcoidosis.

Authors:  Johan Grunewald; Jan C Grutters; Elizabeth V Arkema; Lesley Ann Saketkoo; David R Moller; Joachim Müller-Quernheim
Journal:  Nat Rev Dis Primers       Date:  2019-07-04       Impact factor: 52.329

Review 5.  The risk of infections associated with rheumatoid arthritis, with its comorbidity and treatment.

Authors:  Joachim Listing; Kerstin Gerhold; Angela Zink
Journal:  Rheumatology (Oxford)       Date:  2012-11-28       Impact factor: 7.580

6.  Sarcoidosis mortality in Sweden: a population-based cohort study.

Authors:  Marios Rossides; Susanna Kullberg; Johan Askling; Anders Eklund; Johan Grunewald; Elizabeth V Arkema
Journal:  Eur Respir J       Date:  2018-02-21       Impact factor: 16.671

7.  Short term use of oral corticosteroids and related harms among adults in the United States: population based cohort study.

Authors:  Akbar K Waljee; Mary A M Rogers; Paul Lin; Amit G Singal; Joshua D Stein; Rory M Marks; John Z Ayanian; Brahmajee K Nallamothu
Journal:  BMJ       Date:  2017-04-12

8.  Trends in healthcare utilization and costs associated with pneumonia in the United States during 2008-2014.

Authors:  Sabine Tong; Caroline Amand; Alexia Kieffer; Moe H Kyaw
Journal:  BMC Health Serv Res       Date:  2018-09-14       Impact factor: 2.655

9.  Increased incidence of invasive bacterial disease in chronic obstructive pulmonary disease compared to the general population--a population based cohort study.

Authors:  Malin Inghammar; Gunnar Engström; Bengt Ljungberg; Claes-Göran Löfdahl; Adam Roth; Arne Egesten
Journal:  BMC Infect Dis       Date:  2014-03-25       Impact factor: 3.090

10.  Are infectious diseases risk factors for sarcoidosis or a result of reverse causation? Findings from a population-based nested case-control study.

Authors:  Marios Rossides; Susanna Kullberg; Johan Askling; Anders Eklund; Johan Grunewald; Daniela Di Giuseppe; Elizabeth V Arkema
Journal:  Eur J Epidemiol       Date:  2020-02-11       Impact factor: 8.082

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  3 in total

1.  A Pilot Randomized Trial of Transdermal Nicotine for Pulmonary Sarcoidosis.

Authors:  Elliott D Crouser; Rachel M Smith; Daniel A Culver; Mark W Julian; Karen Martin; Joanne Baran; Christopher Diaz; Barbaros Selnur Erdal; Erinn M Hade
Journal:  Chest       Date:  2021-05-23       Impact factor: 10.262

2.  Type 2 diabetes risk in sarcoidosis patients untreated and treated with corticosteroids.

Authors:  Joshua P Entrop; Susanna Kullberg; Johan Grunewald; Anders Eklund; Kerstin Brismar; Elizabeth V Arkema
Journal:  ERJ Open Res       Date:  2021-05-24

3.  Risk and predictors of heart failure in sarcoidosis in a population-based cohort study from Sweden.

Authors:  Marios Rossides; Susanna Kullberg; Johan Grunewald; Anders Eklund; Daniela Di Giuseppe; Johan Askling; Elizabeth V Arkema
Journal:  Heart       Date:  2021-05-21       Impact factor: 5.994

  3 in total

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