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) [
3‐
5]. 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.
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).
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 [
44‐
46]. 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 [
51‐
53]. 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.
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