Hydroxychloroquine is neutral on incidental cataracts in patients with rheumatoid arthritis.

The clinical characteristics of the participants are presented in Table 1 . Table 1 Demographic characteristics of hydroxychloroquine users and non-users. Before PSM matched p-value After PSM matched p-value HCQ (N = 822) n (%) Non-HCQ (N = 486) n (%) HCQ (N = 465) n (%) Non-HCQ (N = 465) n (%) Age, years 0.030 0.393  20–65 735 (89.4) 452 (93) 425 (91.4) 432 (92.9)  ≥ 65 87 (10.6) 34 (7) 40 (8.6) 33 (7.1)  Mean ± SD 49.7 ± 13 47.3 ± 11.9 0.001* 48.2 ± 12.4 47.9 ± 11.6 0.682 Gender  < 0.001* 0.682  Female 616 (74.9) 301 (61.9) 294 (63.2) 300 (64.5)  Male 206 (25.1) 185 (38.1) 171 (36.8) 165 (35.5) Hypertension 148 (18) 75 (15.4) 0.232 79 (17) 75 (16.1) 0.724 Hyperlipidemia 54 (6.6) 37 (7.6) 0.473 38 (8.2) 35 (7.5) 0.715 Chronic liver disease 66 (8) 32 (6.6) 0.338 37 (8) 32 (6.9) 0.532 Chronic kidney disease 12 (1.5) 6 (1.2) 0.735 4 (0.9) 6 (1.3) 0.525 COPD 35 (4.3) 15 (3.1) 0.286 12 (2.6) 13 (2.8) 0.839 Diabetes 52 (6.3) 27 (5.6) 0.572 32 (6.9) 26 (5.6) 0.416 Uveitis † 5 (0.6) 5 (1) 0.514 4 (0.9) 5 (1.1) 1 Glaucoma † 9 (1.1) 3 (0.6) 0.551 1 (0.2) 3 (0.6) 0.624 Methotrexate 406 (49.4) 230 (47.3) 0.470 227 (48.8) 224 (48.2) 0.844 Biologics 97 (11.8) 34 (7) 0.005* 38 (8.2) 34 (7.3) 0.624 Ophthalmology 513 (62.4) 292 (60.1) 0.403 284 (61.1) 280 (60.2) 0.788 Corticosteroids 678 (82.5) 400 (82.3) 0.935 383 (82.4) 383 (82.4) 1 † Fisher's exact test. *p < 0.01. Demographic characteristics of hydroxychloroquine users and non-users. † Fisher's exact test. *p  0.05).The heterogeneity between the HCQ and non-HCQ groups was balanced by matching the propensity score. With the propensity score matching, there was no statistical significance for age, sex, or the number of participants with biological therapy. In the balanced dataset, 63.9% (n = 594) of patients were female, and 92.2% (n = 857) of patients were 20–65 years old. Overall, 173 participants were diagnosed with secondary cataracts, including 80 in the non-HCQ group and 93 in the HCQ group. The incidence of cataracts was estimated using the Cox proportional hazards model (Table 2 ). By recording the number of endpoints, we estimated the incidence of events per 1000 person-years (incidence density). The crude HR showed that the comorbidities of hypertension, hyperlipidemia, chronic kidney disease, COPD and diabetes also increased the risks of cataracts, and the HR of cataracts was 1.28 (95% CI, 0.95–1.73) for HCQ usage. After the data correction of age, sex, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, diabetes, uveitis, methotrexate, corticosteroids, biological agents and ophthalmology, only age, COPD, diabetes, and biologics use showed significantly different HR (95% CI) values. The adjusted HRs (95% CI) of male patients, COPD patients, and diabetes patients were 3.15 (2.07–4.80), 2.02 (1.05–3.91), and 2.59 (1.58–4.24), respectively. However, the adjusted HR (95% CI) of biological medicine usage was 0.33 (0.13–0.82). The adjusted HR of cataracts between the HCQ and non-HCQ groups was 1.17 (95% CI, 0.86–1.59, P > 0.05). The statistical analysis demonstrated in Table 2 shows that HCQ usage did not increase the risk of cataracts in RA patients. Table 2 Cox proportional hazard model for risk of cataract. No. of cataract event Observed person-years Incidence density (per 1000 person-years) Crude HR (95% C.I.) Adjusted HR † (95% C.I.) Hydroxychloroquine  No 80 2775 28.8 1 1  Yes 93 2551 36.5 1.28 (0.95–1.73) 1.17 (0.86–1.59) Age  20–65 140 5018 27.9 1 1  ≥65 33 309 106.9 3.89 (2.65–5.69) 3.15 (2.07–4.80) Gender  Female 104 3439 30.2 1 1  Male 69 1888 36.5 1.21 (0.89–1.64) 1.21 (0.89–1.65) Hypertension 43 763 56.4 1.98 (1.40–2.79) 1.29 (0.86–1.93) Hyperlipidemia 19 331 57.4 1.86 (1.16–3.01) 1.28 (0.76–2.14) Chronic liver disease 13 416 31.3 0.96 (0.55–1.69) 0.99 (0.55–1.77) Chronic kidney disease 2 38 52.7 1.63 (0.40–6.57) 0.82 (0.20–3.45) COPD 10 159 62.8 1.99 (1.05–3.77) 2.02 (1.05–3.91) Diabetes 24 243 98.6 3.38 (2.19–5.22) 2.59 (1.58–4.24) Uveitis 3 52 57.2 1.78 (0.57–5.58) 2.68 (0.84–8.56) Methotrexate 76 2633 28.9 0.80 (0.60–1.09) 1.00 (0.73–1.37) Biologics 5 445 11.2 0.33 (0.14–0.81) 0.33 (0.13–0.82) Ophthalmology 108 3748 28.8 0.69 (0.51–0.95) 0.89 (0.64–1.24) Corticosteroids 141 4738 29.8 0.54 (0.37–0.80) 0.52 (0.34–0.78) Bold font represents statistical significance (p < 0.05). † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, diabetes, uveitis, methotrexate, biologics, ophthalmology, and corticosteroids. Cox proportional hazard model for risk of cataract. Bold font represents statistical significance (p < 0.05). † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, diabetes, uveitis, methotrexate, biologics, ophthalmology, and corticosteroids. Figure  2 reveals the cumulative incidence rates of cataracts for hydroxychloroquine users and nonusers. The log-rank test showed no significant differences in the survival rate between the two groups (P > 0.05), indicating no significant differences in the cumulative incidence rate between the two groups. Figure 2 Cumulative incidence rate of cataract for hydroxychloroquine users and non-users in RA patients. Cumulative incidence rate of cataract for hydroxychloroquine users and non-users in RA patients. Table 3 shows the results of the Cox proportional hazard model analysis of the effects of HCQ usage duration. The incidence of cataracts per 1000 person-years (incidence density) was also estimated in the subgroups. Compared to the non-HCQ group, the HCQ usage duration was not different, no matter whether it was 90–180 days, 180–270 days, or more than 270 days. And the CI of the adjusted HR was still not statistically significant. Based on the above analysis, we concluded that the HCQ usage duration did not impact the risk of cataracts. Table 3 Cox proportional hazard model among different Hydroxychloroquine usage duration. No. of cataract event Observed person-years Incidence density (per 1000 person-years) Crude HR (95% C.I.) Adjusted HR † (95% C.I.) Hydroxychloroquine  No 80 2775 28.8 1 1  90–180 days 37 914 40.5 1.41 (0.95–2.08) 1.19 (0.79–1.78)  180–270 days 23 732 31.4 1.11 (0.69–1.76) 1.02 (0.64–1.64)  ≥ 270 days 33 905 36.5 1.29 (0.86–1.93) 1.29 (0.85–1.97) † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, diabetes, uveitis, methotrexate, biologics, ophthalmology, and corticosteroids. Cox proportional hazard model among different Hydroxychloroquine usage duration. † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, diabetes, uveitis, methotrexate, biologics, ophthalmology, and corticosteroids. Table 4 shows the subgroup analysis comparing the differences in age, sex and corticosteroids between the two groups. The Cox proportional hazard model was used for the analysis. HR was calculated for RA patients by age, sex,and corticosteroids. The adjusted HR (95% CI) between HCQ users and nonusers was1.35 (0.96–1.90) for those aged 20–65 years. For patients with RA aged 65 years or older, the adjusted HR (95% CI) during follow-up was 0.71 (0.31–1.63). The adjusted HR (95% CI) was 0.87(0.53–1.44) for males and 1.44 (0.97–2.15) for females. The adjusted HR (95% CI) was 1.2(0.85–1.68) for use with corticosteroids and 1.32 (0.62–2.79) for use without corticosteroids. Therefore, there were no significant differences between the subgroups. We concluded that there were no significant changes in the risk of cataracts between groups of rheumatoid arthritis patients based on age sex or corticosteroids. Table 4 Subgroup analysis of Cox proportional hazard model. Hydroxychloroquine Non-Hydroxychloroquine HR (95% C.I.) N No. of Cataract N No. of Cataract Age †  20–65 425 76 432 64 1.35 (0.96–1.90)  ≥ 65 40 17 33 16 0.71 (0.31–1.63) Gender ‡  Female 294 60 300 44 1.44 (0.97–2.15)  Male 171 33 165 36 0.87 (0.53–1.44) Corticosteroids ¶  No 82 17 82 15 1.32 (0.62–2.79)  Yes 383 76 383 65 1.20 (0.85–1.68) † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, Diabetes, methotrexate, biologics, ophthalmology, and corticosteroids. ‡ Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, COPD, Diabetes, methotrexate, biologics, ophthalmology, and corticosteroids. ¶ Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, diabetes, methotrexate, and ophthalmology. Subgroup analysis of Cox proportional hazard model. † Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, chronic kidney disease, COPD, Diabetes, methotrexate, biologics, ophthalmology, and corticosteroids. ‡ Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, COPD, Diabetes, methotrexate, biologics, ophthalmology, and corticosteroids. ¶ Adjusted for age, gender, hypertension, hyperlipidemia, chronic liver disease, diabetes, methotrexate, and ophthalmology.

In this retrospective cohort study, the data were collected from the National Health Insurance Research Database (NHIRD), which holds all Medicare claims and medical records for 99% of the population. With this platform, clinicians are able to upload the diagnosis codes and prescriptions to the Bureau of National Health Insurance (BNHI). This study was approved by the Chung Shan Medical University Institutional Review Board (Approval number: CS19009). Furthermore, all methods were implemented in accordance with relevant guidelines and regulations. The flowchart of data selection and classification is shown in Fig.  1 . The operational definitions of the variables are detailed in Supplementary Table 1 . In total, 2821 treatment-naive RA patients aged 20 years or older with ICD-9-CM = 714.0 were selected from the subdatabase of longitudinal health insurance in NHRID. One million patients were enrolled in this subdatabase from 2000 to 2012. All selected patients had taken disease modifying anti-rheumatic drugs (DMARDs) over 30 days in a year. Participants were classified into two groups according to the usage duration of HCQ: (1) the non-HCQ group, with less than 30 days of usage duration (N = 574, including the patients without hydroxychloroquine usage), and (2) the HCQ group, with more than 90 days of usage duration (N = 1094). The participants were followed up until December 31, 2013. During this time, the follow-up was stopped if secondary cataracts were detected. In this study, the index date was one year after the first diagnosis of RA, and traumatic cataracts (with ICD-9-CM = 366.2) or congenital cataracts (with ICD-9-CM = 743.3) were excluded from the study. Figure 1 The flow chart of screening process. HCQ hydroxychloroquine, DMARDs disease modifying antirheumatic drugs, COPD chronic obstructive pulmonary disease. The flow chart of screening process. HCQ hydroxychloroquine, DMARDs disease modifying antirheumatic drugs, COPD chronic obstructive pulmonary disease. The propensity score, a probability measured by logistic regression, was applied to match the characteristics of the HCQ and non-HCQ groups 21 . The propensity score of each patient was matched 1:1 according to age; sex; hypertension (ICD-9-CM = 401–405); hyperlipidemia (ICD-9-CM = 272.0–272.4); chronic liver disease (ICD-9-CM = 571); chronic kidney disease (ICD-9-CM = 585); chronic obstructive pulmonary disease (ICD-9-CM = 490–492, 494, 496); diabetes (ICD-9-CM = 250); uveitis (Supplementary Table 2 ); glaucoma (ICD-9-CM = 365), and usage of methotrexate, biologics, and corticosteroids. The comorbidities were diagnosed within a year after the first diagnosis of RA (one year earlier than the index date). Prescription records of the usage of methotrexate, corticosteroids, and biologics were saved during the study. Patients without referral to an ophthalmologist were also included to avoid potential screening bias. The HCQ and non-HCQ groups were compared using the chi-square test or independent t test. Kaplan–Meier analysis was also used to estimate the cumulative incidence of cataracts in both the HCQ and non-HCQ groups, and significance was evaluated using the log-rank test. The hazard ratio (HR) of cataracts for HCQ usage was estimated using the Cox proportional hazard model that had been adjusted for the potential confounding variables. The statistical analysis was performed using SPSS software (SPSS Inc, Chicago, IL, USA, version 18.0). Significance was defined as a p value less than 0.05. This study was approved by the Chung Shan Medical University Institutional Review Board. Informed consent was not required if the medical data were used for research and anonymous analysis, which is in line with the Department of Health. The consent waiver statement had been approved by the Chung Shan Medical University Institutional Review Board.

To the best of our knowledge, this study is the first to investigate the correlation between the risks of cataracts and HCQ therapy. The statistical analysis showed that HCQ therapy did not increase the risk of cataracts in RA patients. The RA patients used in this study were selected from the NHIRD, which records the clinical information of approximately 99% of Taiwanese residents. With adjustments to remove confounders, the statistical analysis supported the hypothesis that there was no relationship between HCQ therapy and the risks of cataracts. RA is a common autoimmune inflammatory disease that can affect other organs throughout the body. Recent studies have found that RA can also increase the incidence of endometriosis 22 . According to Wei et al., HPV infection may be associated with a higher risk of RA progression 9 . The immunomodulatory processes of some systemic diseases may mimic the pathological changes that characterize the eyes in RA. These include collagenases, such as matrix metalloproteinase, neutrophil- and macrophage-mediated attacks, the deposition of immune complexes, various components of adaptive immunity and cytokines, and the complement cascade 23 . In addition, several systemic inflammatory mediators have been demonstrated to be relevant. A previous study showed that age-related cataracts were related to TNFα, IL-6, intracellular adhesion molecule-1, and high-sensitivity CRP 24 . In our study, we focused on age, sex, comorbidities and concomitant medications. After data adjustments, the HR (95% CI) of age, COPD, diabetes,and biological medicine usage was significantly different. The use of HCQ was excluded. In addition, comparing the differences in HCQ usage duration, age, sex and corticosteroids between the two groups in the subgroup analysis, here was no significant difference compared with the control group. Cataracts are also associated with certain medications, such as glucocorticoids. A meta-analysis and systematic review of the association between cataract deterioration and corticosteroids use is supported by current data, but the risk cannot be quantified in patients with RA 25 . Cataracts are known sequelae of juvenile RA-related uveitis and are believed to be due to corticosteroid use and chronic inflammation 26 . Studies have shown that cataracts in SLE patients can be caused by many factors, including glucocorticoids, systolic blood pressure and disease activity 11 . Lee HJ and Kim SJ reported that sudden vision loss could be caused by the disease itself and medicine in systemic lupus erythematosus patients 27 . Our study had included the factor of corticosteroids, but the conclusion was that the HCQ usage does not increase the risk of cataract, whether combined or not, and also showed that biologic therapy could reduce the risks of secondary cataracts in elderly patients (older than 65 years old) with chronic obstructive pulmonary disease (COPD) or diabetes. According to a prospective and cross-sectional survey, 4 out of 60 RA patients who had received HCQ therapy over 6 months were diagnosed with secondary cataracts 6 months later 19 . However, the major limitation of this study was that the number of samples was small. In addition, the conclusion of this study suggested that dosing regimen and the total dose of HCQ were related to the risk of retinopathy, and there was no evidence that HCQ caused cataract in the research. In another retrospective study, 2867 rheumatic patients taking HCQ were reviewed, but only 31 patients were diagnosed with blindness or macular degeneration, and only 9% had cataracts. Seventeen of the 31 patients had visual impairment. Each patient was considered to originate from multiple factors, and no one was considered to be directly related to HCQ toxicity 20 . This study mainly focused on blindness in rheumatic patients but did not further investigate the correlation between cataracts and HCQ usage. In our study, the endpoint was finding cataracts, and the statistical analysis showed that there was no significant difference between the HCQ and non-HCQ groups (36.2 vs. 28.8 per 1000 person-years; adjusted HR = 1.20, 95% CI 0.88 to 1.63). We found that HCQ usage did not increase the risk of cataracts in RA patients. HCQ usage, which is an important immunosuppressant, should not be replaced by considering only the risk of cataracts but should ignore the relevance to age, sex, and HCQ usage duration. The results of this study are essential for physicians to use HCQ. However, for complex patients with multiple complications and severe RA patients with high inflammatory markers, a comprehensive evaluation of the condition and a referral to ophthalmologists are still highly recommended before taking HCQ. More longitudinal studies on patients with other diseases and taking HCQ are necessary. In addition, a combination of multiple medicines, including NSAIDs, DMARDs, glucocorticoids and biological medicines, is commonly used to treat RA in the clinic. Further studies are also necessary to determine whether other medicines increase the risks of cataracts in RA patients. There were several limitations in our study. First, information on disease activity was lacking. Second, clinical activity indices (such as radiation data, erythrocyte sedimentation rate, rheumatoid factor, and C-reactive protein) may also be related to cataracts, but this was beyond the scope of our study. Moreover, some confounders were not recorded in the NHIRD, such as body weight and lifestyle habits (e.g., smoking and serum lipids). Finally, subclinical patients who did not seek medical attention were not included. We included patients who were present for eye disease during the study period to reduce potential screening bias. To date, many studies have discussed ophthalmic symptoms of rheumatic patients during the use of HCQ, such as blindness and cataract maculopathy 27 , 28 . Compared with SLE, there has been relatively little research on this subject in RA. Comprehensive studies with longitudinal follow-ups are needed to confirm any possible association between hydroxychloroquine and the risk of cataracts in RA patients. Although this research suggested that HCQ did not increase the incidence of cataracts in RA patients, it may depend on the dose and time of treatment involved and other risk factors. However, in clinical work, rheumatologists still need to cooperate with ophthalmologists and screen early signs of eye disease, including cataracts.

Rheumatoid arthritis (RA) is a common systemic inflammatory disease of small joints in which healthy cells are mistakenly attacked by the immune system, potentially causing disability 1 . Many patients suffer from RA, with a global average point and period prevalence of 0.51% and 0.56%, respectively 2 . RA is clinically diagnosed by blood and imaging tests (X-ray, CT or MRI). However, early diagnosis is difficult, and the specific causes are unknown. In addition to symptoms of joint inflammation and pain, RA can cause disease in other organs, especially the eyes, and ophthalmic involvement is usually significant 3 . The study showed that 39% of RA patients could be diagnosed with ocular diseases, such as keratoconjunctivitis sicca (KCS), uveitis, vitreitis, and cataracts 4 – 7 . Cataracts are defined as opacities of the crystalline lens, which can result in vision loss and blindness 8 . Many factors contribute to the development of cataracts, such as ultraviolet exposure, advancing age, use of steroids, and underlying systemic conditions 9 . Previous studies have shown that inflammation of the eye caused by systemic risk factors, such as metabolic disorders, smoking, and autoimmune diseases, can influence the formation of cataracts 10 , 11 . The oxidation of lens proteins caused by inflammation of the aqueous humor is the main biochemical interpretation of this apparent association 12 . Hence, elucidating a possible relationship between rheumatoid arthritis and cataracts is of great interest. Glucocorticoids play a physiological anti-inflammatory role in the treatment of rheumatoid arthritis, in which up to 50% of patients receive glucocorticoids in addition to disease-modifying anti-rheumatic drugs (DMARDs) and biological DMARDs. However, the long-term usage of glucocorticoids has adverse events and side effects, causing posterior subcapsular cataracts 11 , 13 . Hydroxychloroquine (HCQ) is one of the most widely used immunosuppressants for autoimmune diseases, with the benefits of fewer adverse effects compared to other rheumatoid drugs on the market 14 . It is also one of the recommended medicines for many national RA treatment guidelines 15 , 16 . HCQ is an anti-inflammatory agent that acts to prevent autoantigen presentation, decrease leukocyte activation, and reduce cytokine and prostaglandin synthesis 14 . HCQ is generally considered safe to use, and studies have reported that HCQ does not increase the risk of arrhythmias but can reduce the risk of coronary artery disease 17 , 18 . However, HCQ can cause eye diseases. Early symptoms of HCQ-induced dysfunction include color vision defects, para-central visual field defects, and macular degeneration. Studies have shown that some RA patients who use HCQ also have cataracts 19 , 20 . To the best of our knowledge, no studies have evaluated the association between HCQ and cataracts in patients with rheumatoid arthritis. In summary, we believe that patients with RA who use HCQ may be at risk for cataracts. To determine the effect of HCQ on cataract prevalence in RA populations, we conducted a study to investigate the association between HCQ and cataracts. The design of this study was analytical and retrospective.

Supplementary Table 1. Supplementary Table 2. Supplementary Table 1. Supplementary Table 2.