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High risk of depression, anxiety, and an unfavorable complex comorbidity profile is associated with SLE: a nationwide patient-level study

Arthritis Research & Therapy volume 24, Article number: 116 (2022) Cite this article

Abstract

Objectives

The aim of this national population-based, retrospective database study is to compare the comorbidity profiles of systemic lupus erythematosus (SLE) patients and general population controls matched for age, gender, and region and assess the risk of depression or anxiety when controlled for age, gender and adjusted for the Charlson Comorbidity Index (CCI).

Methods

Claims data of 1051 patients diagnosed with SLE (full population between January 01, 2011, and December 31, 2014) from the Hungarian National Health Insurance Fund have been analyzed against matched controls (1:5 ratio) with a follow-up of 30 months. The first record of SLE diagnosis was considered the diagnosis date. The odds ratio (OR) and 99.9% confidence interval (CI) of having depression or anxiety among patients with SLE vs. controls have been assessed using logistic regression models.

Results

SLE patients report more comorbidities than the matched general population both in pre- and post-index periods (mean CCI 1.79 vs. 1.15 and 2.78 vs. 1.22 [both p<0.001], respectively). Both SLE patients and controls diagnosed with depression or anxiety had significantly higher CCI than those without comorbid depression or anxiety (p<0.001). However, SLE patients had a twofold higher risk of depression or anxiety than matched controls when controlled for age, gender, and adjusted for CCI.

Conclusion

Our analysis indicates the enormity of comorbidity burden in SLE, especially that of anxiety and depression. The size and complexity of the comorbidity burden emphasizes the importance of early diagnosis and intervention with comprehensive modalities incorporating attention to comorbidities in SLE patients.

Key messages

  • SLE patients show a 2.2-fold higher risk of depression or anxiety on controlling for age and gender and adjusting for the CCI.

  • The complexity of the burden of the disease requires intervention with new and comprehensive treatment.

  • Clinicians need to regularly evaluate SLE patients for symptoms of depression and anxiety.

Introduction

Systemic lupus erythematosus (SLE) is a chronic, heterogeneous systemic autoimmune disease associated with multiple clinical complications and comorbidities, which may lead to significant organ damage resulting in increased disease burden and mortality [1,2,3]. Both multi-organ involvement and treatment for SLE may lead to a higher risk of comorbidities [4]. The prevalence of SLE in Europe has been estimated to be 25–91 per 100,000 [5] while recent evidence reported the prevalence of SLE in Hungary to be 70.5 per 100,000 [1].

The European Alliance of Associations for Rheumatology recommends prompt evaluation if comorbidities are suspected in a patient with SLE [6]. Commonly observed comorbidities in patients with SLE include cardiovascular diseases, infections, psychosis, depression, chronic pulmonary diseases, musculoskeletal diseases, neoplasms, and renal diseases [7,8,9]. Moreover, the incident risk of these comorbidities is greater in patients with SLE compared with the general population as reported by two population-based studies [7, 9].

SLE along with any presenting comorbidities may lead to pain [10], increased work disability [11] as well as increased financial strain [12] resulting in a lower socioeconomic status. Moreover, the latter has also been associated with increased SLE severity and poor outcomes [13, 14], resulting in a vicious cycle. It is well documented that the aforementioned factors are associated with anxiety and depression in patients with SLE [10, 15]; additionally, anxiety and depression themselves might be neuropsychiatric manifestations of SLE [16]. A recent systematic review and meta-analysis reported the pooled prevalence of depression and anxiety in patients with SLE to be 35.0% (95% confidence interval [CI] 29.9–40.3%) and 25.8% (95% CI 19.2–32.9%) [17]. In addition, depression and anxiety are more common in patients with SLE compared to the general population [18].

Comorbid depression and anxiety are associated with low health-related quality of life (HRQoL) and greater work disability and economic burden in patients with SLE [19,20,21]. Therefore, it is essential to understand the risk of these comorbidities in SLE to optimally manage the disease. However, there is limited evidence on the complex comorbidity profile of SLE. Hence, this current full populational, nationwide, retrospective study aims to compare the comorbidity profile of adult patients with SLE and controls matched for age, gender, and region and to assess if the risk of having depression and anxiety is different when adjusted for the Charlson Comorbidity Index (CCI) in addition to controlling for age and gender.

Methods

Data source

De-identified records were obtained from the longitudinal, nationwide database of the Hungarian National Health Insurance Fund (NHIF). This database contains detailed healthcare service records including patient-level demographic data as well as inpatient, outpatient, and prescription drug data for the whole population of Hungary (approximately 10 million people) and is linked by the social security number, a unique patient identifier that enables longitudinal patient pathway analysis.

The NHIF handles patient data based on law (Act No. 80/1997 on mandatory health insurance coverage) and data access is provided for real-world analyses (based on Act 63/2012 on the re-use of public data). Only NHIF had direct access to patient-level data; other parties could only access the data indirectly through NHIF as per NHIF’s data privacy regulations. Due to this regulation, patient-level consent was not required for the analysis.

Study population

The study period ranged from January 01, 2009, to June 30, 2017. Patients who were diagnosed with SLE as per the International Classification of Diseases, 10th Revision (ICD-10) code M32* [22] during the inclusion period (January 01, 2011, to December 31, 2014), had no recorded SLE diagnosis for at least 2 years before the first record of SLE diagnosis in the inclusion period (diagnosis date), and had a record of relevant SLE therapy (Supplementary Table S1) within the 6 months from the diagnosis date (index period) (as per our prior research [1]) were included (Fig. 1A). Patients were followed up for at least 2 years after the index period (Fig. 1B). A cohort of reference individuals from the same database without any diagnosis of SLE (control group) was created matching on age, gender, and geographical region in a 1:5 ratio. The members of this control population had their index periods defined to be exactly the same as the index period of that SLE patient to whom they were matched. Comorbidities in the prior and post periods are in relation to this derived index period for controls.

Fig. 1
figure 1

A Schematic of patient inclusion. B Patient timeline in relation to the diagnosis date. Shaded rectangles denote patients without an SLE diagnosis. Abbreviations: SLE, systemic lupus erythematosus

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Based on the average amount of prednisone-equivalent steroid dose prescribed in the 6-month index period, patients were classified into four categories (0 mg/day, ≤7.5 mg/day, ≤20 mg/day, and >20 mg/day).

Ethics approval

The analysis was done based on the ethical approval of the Committee of Science and Research Ethics of the Medical Research Council of Hungary, approval number 53229-2/2018/EKU dated November 22, 2018.

Outcomes

Patient population characteristics of interest included age, gender, comorbidities, age-adjusted CCI, and mortality. Comorbidities based on ICD-10 codes (Supplementary Table S2) were confirmed if the patient had at least one record with the comorbidity as the main diagnosis/main cause during inpatient care or had at least two records of the comorbidity on two different calendar days within 365 days of each other. Specifically, a patient was identified as having depression in the pre- or post-index period if they had any of the F31*, F32*, or F33* ICD-10 codes reported in such a way in the pre- or post-index period respectively. In case of anxiety, the ICD-10 code F41* was used. Comorbidities are presented only if there were 10 or more patients for the protection of individual patient data. The age-adjusted CCI was calculated based on the presence of comorbidities, for each comorbidity in scope, the patients had a score ranging between 1 and 6 and these scores were added together. Additional scores were obtained based on age. Supplementary Table S3 contains the comorbidities and the associated scores for the calculation of CCI [23].

The primary objective is to describe the complex comorbidity profile among patients with SLE and compare them with the matched general population, and the secondary objective is to estimate the role of SLE on the risk of having depression and anxiety.

Statistical analysis

We calculated means and standard deviations for continuous variables and counts and percentages for categorical variables. In the Base Case Analysis, we assessed the odds ratio (OR) of presence of a wide range of different comorbidities post index period, including depression and anxiety among patients with SLE vs. controls and among SLE patients on different steroid doses vs. no steroid use (with 99.9% CI) using a logistic regression model adjusted for age and gender. We considered each comorbidity independently of each other in separate models. As we aimed for a family-wise error rate of 5%, the comparison-wise alpha was chosen to be 0.1% based on the Bonferroni correction. In the Adjusted Analysis, we applied the above model only for depression and anxiety, with the logistic regression model adjusted for the CCI as well as age and gender. Pre-index CCI is used in the adjustment, to enable the assessment of a cause-and-effect-type relationship. In administrative healthcare data the missing data cannot be discovered, if a diagnosis or intervention is not recorded then imputation is not possible. Therefore, missing data handling was not performed. We performed all the statistical tests using R software (R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/).

Results

Population characteristics

A total of 1051 patients with SLE were matched with 5255 controls. Median age of the patients was 45.9 years and majority of the patients were females (85.1%). The post-index prevalence of depression, anxiety, and depression or anxiety in patients with SLE was 9.9%, 12.7%, and 17.8%, respectively (Table 1). The CCI of patients with SLE was significantly greater than the matched controls both before and after the index period (p<0.001; Fig. 2).

Table 1 Patient population characteristics
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Fig. 2
figure 2

Age-adjusted CCI of SLE patients and matched controls prior to and after the index period. Bars denote 95% confidence intervals for the mean CCI of the group. Abbreviations: CCI, Charlson Comorbidity Index; SLE, systemic lupus erythematosus

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Rate of patients who were prescribed systemic corticosteroids within 2 years before their SLE diagnosis date was (56.6%); for whom the median time from treatment start to diagnosis was 13 months. After that, steroid use within 2 years after SLE diagnosis was recorded for 85.2% of patients, and 98.6% of the latter remained on steroids for at least one year. Other agents used within 2 years after diagnosis included hydroxychloroquine (46.4%), azathioprine (35.0%), and biologics (5.8%) with rituximab being the most frequently prescribed biologic. Detailed treatment pattern analysis could not be performed as data from inpatient care (e.g., on cyclophosphamide use and intravenous steroids) were unavailable in the claims data.

Based on the steroid use during the index period of 6 months, 19.8% of patients did not receive steroids and 19.0% received high-dose steroids (Table 2).

Table 2 Steroid dosage of patients with SLE during the index period
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Risk of comorbidity in SLE

Compared with matched controls, patients with SLE in the 2 years post-index period had a significantly greater risk of renal disease (OR 12.19 [99.9% CI 6.83–21.76]), anemia (OR 10.10 [99.9% CI 5.76–17.70]), osteoporosis (OR 7.82 [99.9% CI 5.64–10.84]), pulmonary diseases (OR 2.07 [99.9% CI 1.44–2.99]), liver disease (OR 7.47 [99.9% CI 2.27–24.59]), serious infections (OR 5.89 [99.9% CI 3.63–9.54]), epilepsy (OR 4.33 [99.9% CI 2.06–9.11]), lymphomas (OR 4.30 [99.9% CI 1.11–16.70]), congestive heart failure (OR 4.10 [99.9% CI 2.52–6.67]), other cardiovascular diseases (OR 3.74 [99.9% CI 2.86–4.89]), hypertension (OR 3.59 [99.9% CI 2.72–4.75]), cerebral vascular accident (OR 1.91 [99.9% CI 1.27–2.88]), peptic ulcer (OR 3.83 [99.9% CI 1.80–8.15]), endocrine gland disorders (OR 2.49 [99.9% CI 1.80–3.44]), hypothyroidism (OR 2.95 [99.9% CI 1.91–4.57]), other metabolic disorders (OR 2.25 [99.9% CI 1.68–3.00]), lipidaemia (OR 1.52 [99.9% CI 1.11–2.10]), depression or anxiety (OR 2.36 [99.9% CI 1.72–3.23]), and other mental disorders including dementia (OR 2.11 [99.9% CI 1.35–3.30]) (Supplementary Table S4). Figure 3 represents the log odds ratio data.

Fig. 3
figure 3

Log odds ratio of presenting comorbidities within 2 years post-index—SLE patients vs. matched population. Matching is based on age, gender, and region. Abbreviations: CI, confidence interval; SLE, systemic lupus erythematosus

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In most cases (including anxiety and depression), we found no significant difference across any of the 4 strata of steroid treatments on the risk of comorbidities, except for anemia and renal disease. The group with no steroid treatment served as the reference group. Patients with SLE who received >20 mg/day steroid treatment during the index period had a significantly greater risk of presence of anemia (OR 2.83 [99.9% CI 1.09–7.35]) and renal disease (OR 3.54 [99.9% CI 1.38–9.06]) in the 2-year post-index period. Patients on steroid doses of 0–7.5 mg/day and 7.5–20 mg/day did not have a significantly greater risk of these comorbidities (Supplementary Fig. S1).

Risk of presenting depression, anxiety, or both

SLE patients and controls with depression or anxiety in the post-index period had greater CCI scores calculated before the index period compared with those who did not have comorbid depression or anxiety (p<0.001 for both; Supplementary Fig. S2).

For the Base Case Analysis as well as Adjusted Analysis, patients with SLE had an approximately twofold greater chance of presenting the depression (Base Case Analysis, OR 2.32 [99.9% CI 1.54–3.49]; adjusted analysis, OR 2.18 [99.9% CI 1.43–3.31]), anxiety (Base Case Analysis, OR 2.39 [99.9% CI 1.66–3.43]; adjusted analysis, OR 2.17 [99.9% CI 1.49–3.16]), or both (Base Case Analysis, OR 2.36 [99.9% CI 1.72–3.23]; adjusted analysis, OR 2.17 [99.9% CI 1.57–3.00]) in the post-index period, than the general population (Fig. 4).

Fig. 4
figure 4

Odds ratio of presenting depression/anxiety within 2 years post-index—SLE patients vs. matched population. In the Base Case Analysis, the model was adjusted for age and gender. In the Adjusted Analysis, the model was additionally adjusted for CCI within 2 years prior to the diagnosis date. Matching is based on age, gender, and region. Abbreviations: CI, confidence interval; SLE, systemic lupus erythematosus

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Discussion

Patient register data clearly indicate that comorbidities have a crucial role in determining the HRQoL, ability to work, and mortality of patients with SLE [24]. Our present data confirm and extend these observations. In addition to existing population-based studies assessing the comorbidities associated with SLE burden [24,25,26,27,28,29,30,31,32,33], this is the first nationwide full-populational database study in Europe with 1:5 randomly matched controls from the general population that focuses on comorbidities in SLE, especially depression and anxiety.

The prevalence of comorbid depression and anxiety in patients with SLE in the administrative claims data analyzed in our study was 9.9% and 12.7%, respectively, which is lower than the self-reported or healthcare professional-reported prevalence found by a recent systematic review and meta-analysis (depression - 35.0% [95% CI 29.9–40.3%]) and anxiety - 25.8% [95% CI 19.2–32.9%]) [17]. Our results are comparable with a full population study conducted in Crete that reported the prevalence of depression and anxiety to be 26.7% and 10.7%, respectively [34].

Patients with SLE in our study had greater chance of presenting the lymphomas, endocrine gland disorders, metabolic disorders, mental disorders, cardiovascular diseases, pulmonary diseases, renal disease, liver disease, and infections during the post-index periods than the matched controls. This comorbidity profile is comparable with published European data. A recent Finnish study analyzed data of patients with SLE and matched controls from 2000 to 2015 and reported comorbid cardiovascular diseases (33%), malignancies (27%), and neurological diseases (10%) present at diagnosis to be the leading causes of death [35]. A full population study in Crete also reported a high prevalence of comorbid thyroid disease (45.6%), mental disorders (42.1%), dyslipidemia (33.3%), and hypertension (24.6%) [34].

In our study, patients with SLE receiving a high steroid dose (>20 mg/day) had a greater risk of having anemia or renal disease compared with matched controls. It can mean that the severity of the disease was greater in these patients resulting in higher steroid use and therefore worse renal disease and anemia, but also that steroids may have been used to treat these. We found no difference in the risk of any of the other comorbidities among patients with different steroid doses. Although other studies have examined comorbidities as a function of steroid dose [36,37,38,39], the observed comorbidity profiles were not the same either due to assessment of specific comorbidities [36,37,38] or varying study population [39].

Comorbidities such as cardiovascular diseases [40], depression, and anxiety [19, 41], in patients with SLE, significantly impair HRQoL. The latter two are also involved with body image and fatigue severity, which further affect HRQoL [20]. Moreover, depression and anxiety can indicate increased inflammatory activity, associated with SLE flares [42, 43]. In our study, patients with SLE had a twofold higher chance of presenting the depression, anxiety, or both compared with matched controls in both the Base Case Analysis and the Adjusted Analysis, thus highlighting the burden of SLE. Inadequate control at an early stage may lead to further deterioration in physical, mental, and social functioning in these patients. Hence, optimization of pharmacological and non-pharmacological treatments to alleviate depression or anxiety-related symptoms could positively impact HRQoL [41].

Infections and cardiovascular diseases are reported to be the leading causes of death in SLE [44,45,46]. In the current study too, the presence of serious infections was sixfold greater in patients with SLE compared with matched controls after the diagnosis date. This is consistent with evidence suggesting that infections have a large effect in accelerated mortality in patients with SLE [1]. As skin-, urinary-, and lower respiratory tract-related infections are known to be common in patients with SLE [47, 48], early identification and adequate treatment of infection-related symptoms appear to be essential for reducing mortality in patients with SLE.

In line with recent European guidelines [49, 50] that recommend the use of biologics in the second or subsequent line for SLE treatment, majority of the patients in our study were on corticosteroids, with only 5.8% on biologics. However, treatment pattern analysis was hampered due to a lack of reliable information on use of medications during hospitalization in the claims dataset. Although we used a conservative approach to estimate the diagnosis date (e.g., two newly recorded SLE ICD codes + flare indicated by immediate treatment), we observed that 58% of the patients received some form of SLE relevant treatment via pharmacy prescriptions before the date of SLE diagnosis appeared in the dataset, indicating that a not differentiated autoimmune disease state may often precede the diagnosis.

The main advantage of this study is the full population analysis which enables obtaining deep insights into the burden of SLE. Limited evidence exists on the complete comorbidity profile in patients with SLE with an emphasis on depression and anxiety. This study bridges the knowledge gap by analyzing patients and matched controls in a 1:5 ratio to obtain insights.

There are some limitations of this study. The data were collected for health insurance reimbursement claims purposes and not for research. Data on the therapy used during hospitalization of patients with SLE (i.e., treatment with cyclophosphamide, other immunosuppressive therapies, or use of glucocorticoids) are unavailable. Hence, we cannot accurately determine the exact disease activity and severity and treatment patterns. No data was available on clinical details such as disease phenotype, disease severity, or patient-reported outcomes either. All comorbidities were identified through claims data; however, misdiagnosis might be possible. Some diagnoses may be present on prescriptions to enable the prescription of certain medications. This is especially true for depression and anxiety. Due to data handling regulations, we could not report patient-level data or aggregate data obtained from less than 10 patients (including patient numbers). This study utilizes claims data from Hungary, and findings may not be generalizable to other populations. When analyzing the effect of steroid dose on comorbidities, the amount of steroid prescribed may be influenced by comorbidities which were present pre-index which can cause confounding. this was not adjusted for in the analysis. Adjusting for the total CCI score in the final set of analyses may mask the influence of specific comorbidities.

We observed that most comorbidities have a higher risk of being present in patients with SLE than in matched controls. The greatest risk increase was observed in renal disease, anemia, and osteoporosis. We also observed that depression and anxiety have a higher risk of being present in patients with SLE after controlling for the presence of other comorbidities, suggesting that depression and anxiety, at least partly, are not caused by the higher comorbid nature of SLE patients. Overall, the enormity of comorbidities specifically depression and anxiety emphasize the importance of early diagnosis and intervention incorporating attention to comorbidities in SLE patients.

Availability of data and materials

The dataset that was used is held by the National Health Insurance Fund (NHIF) of Hungary (http://www.neak.gov.hu, e-mail: neak@neak.gov.hu). Access to the individual-level data is available after filing a formal data access request with adatkeres@neak.gov.hu. Requestors need to accept the terms and conditions of the data request and may need to pay the corresponding data access fee. The terms of the contract for data access do not allow the reporting of any data of a single individual or results which come from aggregating the data of <10 individuals. Therefore, a de-identified dataset could not be provided. Taking these requirements into consideration, the results can be published. A supplementary dataset was created which contains the patient counts derived from the original data. This is a retrospective secondary database study, no new data were generated or analyzed in support of this research.

References

  1. Kedves M, Kosa F, Kunovszki P, Takacs P, Szabo MZ, Karyekar C, et al. Large-scale mortality gap between SLE and control population is associated with increased infection-related mortality in lupus. Rheumatology (Oxford). 2020;59(11):3443–51.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Wu XY, Yang M, Xie YS, Xiao WG, Lin J, Zhou B, et al. Causes of death in hospitalized patients with systemic lupus erythematosus: a 10-year multicenter nationwide Chinese cohort. Clin Rheumatol. 2019;38(1):107–15.

    Article  PubMed  Google Scholar 

  3. Doria A, Iaccarino L, Ghirardello A, Zampieri S, Arienti S, Sarzi-Puttini P, et al. Long-term prognosis and causes of death in systemic lupus erythematosus. Am J Med. 2006;119(8):700–6.

    Article  PubMed  Google Scholar 

  4. Rees F, Doherty M, Grainge M, Lanyon P, Davenport G, Zhang W. Burden of Comorbidity in Systemic Lupus Erythematosus in the UK, 1999-2012. Arthritis Care Res (Hoboken). 2016;68(6):819–27.

    Article  PubMed  Google Scholar 

  5. Danchenko N, Satia JA, Anthony MS. Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden. Lupus. 2006;15(5):308–18.

    Article  CAS  PubMed  Google Scholar 

  6. Bertsias G, Gordon C, Boumpas DT. Clinical trials in systemic lupus erythematosus (SLE): lessons from the past as we proceed to the future--the EULAR recommendations for the management of SLE and the use of end-points in clinical trials. Lupus. 2008;17(5):437–42.

    Article  CAS  PubMed  Google Scholar 

  7. Cook MJ, Bellou E, Bowes J, Sergeant JC, O'Neill TW, Barton A, et al. The prevalence of co-morbidities and their impact on physical activity in people with inflammatory rheumatic diseases compared with the general population: results from the UK Biobank. Rheumatology (Oxford). 2018;57(12):2172–82.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Barber MRW, Clarke AE. Systemic lupus erythematosus and risk of infection. Expert Rev Clin Immunol. 2020;16(5):527–38.

    Article  CAS  PubMed  Google Scholar 

  9. Kuo CF, Chou IJ, Rees F, Grainge MJ, Lanyon P, Davenport G, et al. Temporal relationships between systemic lupus erythematosus and comorbidities. Rheumatology (Oxford). 2019;58(5):840–8.

    Article  PubMed  Google Scholar 

  10. Waldheim E, Elkan AC, Pettersson S, van Vollenhoven R, Bergman S, Frostegard J, et al. Health-related quality of life, fatigue and mood in patients with SLE and high levels of pain compared to controls and patients with low levels of pain. Lupus. 2013;22(11):1118–27.

    Article  CAS  PubMed  Google Scholar 

  11. Utset TO, Baskaran A, Segal BM, Trupin L, Ogale S, Herberich E, et al. Work disability, lost productivity and associated risk factors in patients diagnosed with systemic lupus erythematosus. Lupus Sci Med. 2015;2(1):e000058.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Clarke AE, Yazdany J, Kabadi SM, Durden E, Winer I, Griffing K, et al. The economic burden of systemic lupus erythematosus in commercially- and medicaid-insured populations in the United States. Semin Arthritis Rheum. 2020;50(4):759–68.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Yelin E, Yazdany J, Trupin L. Relationship Between Poverty and Mortality in Systemic Lupus Erythematosus. Arthritis Care Res (Hoboken). 2018;70(7):1101–6.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Yelin E, Trupin L, Bunde J, Yazdany J. Poverty, Neighborhoods, Persistent Stress, and Systemic Lupus Erythematosus Outcomes: A Qualitative Study of the Patients' Perspective. Arthritis Care Res (Hoboken). 2019;71(3):398–405.

    PubMed  PubMed Central  Google Scholar 

  15. McCormick N, Trupin L, Yelin EH, Katz PP. Socioeconomic Predictors of Incident Depression in Systemic Lupus Erythematosus. Arthritis Care Res (Hoboken). 2018;70(1):104–13.

    Article  PubMed  Google Scholar 

  16. Kivity S, Agmon-Levin N, Zandman-Goddard G, Chapman J, Shoenfeld Y. Neuropsychiatric lupus: a mosaic of clinical presentations. BMC Med. 2015;13:43.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Moustafa AT, Moazzami M, Engel L, Bangert E, Hassanein M, Marzouk S, et al. Prevalence and metric of depression and anxiety in systemic lupus erythematosus: A systematic review and meta-analysis. Semin Arthritis Rheum. 2020;50(1):84–94.

    Article  PubMed  Google Scholar 

  18. Bachen EA, Chesney MA, Criswell LA. Prevalence of mood and anxiety disorders in women with systemic lupus erythematosus. Arthritis Rheum. 2009;61(6):822–9.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Mok CC, Chan KL, Ho LY. Association of depressive/anxiety symptoms with quality of life and work ability in patients with systemic lupus erythematosus. Clin Exp Rheumatol. 2016;34(3):389–95.

    PubMed  Google Scholar 

  20. Pereira MG, Duarte S, Ferraz A, Santos M, Fontes L. Quality of life in patients with systemic lupus erythematosus: the mediator role of psychological morbidity and disease activity. Psychol Health Med. 2020;25(10):1247–57.

    Article  PubMed  Google Scholar 

  21. Cho JH, Chang SH, Shin NH, Choi BY, Oh HJ, Yoon MJ, et al. Costs of illness and quality of life in patients with systemic lupus erythematosus in South Korea. Lupus. 2014;23(9):949–57.

    Article  CAS  PubMed  Google Scholar 

  22. World Health Organization. International Statistical Classification of Diseases and Related Health Problems. 10th ed. Geneva: World Health Organization; 2008.

    Google Scholar 

  23. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  24. Kishore S, Jatwani S, Malhotra B, Lirette ST, Mittal V, Majithia V. Systemic Lupus Erythematosus Is Associated With a High Risk of Venous Thromboembolism in Hospitalized Patients Leading to Poor Outcomes and a Higher Cost: Results From Nationwide Inpatient Sample Database 2003-2011. ACR Open Rheumatol. 2019;1(3):194–200.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Chen JH, Lee CT. Explore comorbidities associated with systemic lupus erythematosus: a total population-based case-control study. QJM. 2022;115(1):17–23.

    Article  PubMed  Google Scholar 

  26. Oud L. The Epidemiology and Outcomes of Mental Disorders in Critically Ill Patients With Systemic Lupus Erythematosus: A Population-Based Study. J Clin Med Res. 2020;12(8):508–16.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Bae EH, Lim SY, Han KD, Jung JH, Choi HS, Kim CS, et al. Systemic lupus erythematosus is a risk factor for cancer: a nationwide population-based study in Korea. Lupus. 2019;28(3):317–23.

    Article  CAS  PubMed  Google Scholar 

  28. Huang YF, Chang YS, Chen WS, Tsao YP, Wang WH, Liao HT, et al. Incidence and risk factors of osteomyelitis in adult and pediatric systemic lupus erythematosus: a nationwide, population-based cohort study. Lupus. 2019;28(1):19–26.

    Article  CAS  PubMed  Google Scholar 

  29. Wen JY, Lo TS, Chuang YC, Ho CH, Long CY, Law KS, et al. Risks of interstitial cystitis among patients with systemic lupus erythematosus: A population-based cohort study. Int J Urol. 2019;26(9):897–902.

    Article  PubMed  Google Scholar 

  30. Tiosano S, Farhi A, Watad A, Grysman N, Stryjer R, Amital H, et al. Schizophrenia among patients with systemic lupus erythematosus: population-based cross-sectional study. Epidemiol Psychiatr Sci. 2017;26(4):424–9.

    Article  CAS  PubMed  Google Scholar 

  31. Choi HS, Han KD, Jung JH, Kim CS, Bae EH, Ma SK, et al. The risk of end-stage renal disease in systemic lupus erythematosus: A nationwide population-based study in Korea. Medicine (Baltimore). 2019;98(28):e16420.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Chen HA, Hsu TC, Yang SC, Weng CT, Wu CH, Sun CY, et al. Incidence and survival impact of pulmonary arterial hypertension among patients with systemic lupus erythematosus: a nationwide cohort study. Arthritis Res Ther. 2019;21(1):82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Chang YS, Chang CC, Chen YH, Chen WS, Chen JH. Risk of infective endocarditis in patients with systemic lupus erythematosus in Taiwan: a nationwide population-based study. Lupus. 2017;26(11):1149–56.

    Article  CAS  PubMed  Google Scholar 

  34. Gergianaki I, Garantziotis P, Adamichou C, Saridakis I, Spyrou G, Sidiropoulos P, et al. High Comorbidity Burden in Patients with SLE: Data from the Community-Based Lupus Registry of Crete. J Clin Med. 2021;10(5):998.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Elfving P, Kariniemi S, Kautiainen H, Virta LJ, Kaipiainen-Seppanen O, Puolakka K. Mortality in SLE patients compared to population controls in Finland in years 2000-2015. Rheumatology (Oxford). 2021;60(9):4238–44.

  36. Herrinton LJ, Liu L, Goldfien R, Michaels MA, Tran TN. Risk of Serious Infection for Patients with Systemic Lupus Erythematosus Starting Glucocorticoids with or without Antimalarials. J Rheumatol. 2016;43(8):1503–9.

    Article  PubMed  Google Scholar 

  37. Horton DB, Haynes K, Denburg MR, Thacker MM, Rose CD, Putt ME, et al. Oral glucocorticoid use and osteonecrosis in children and adults with chronic inflammatory diseases: a population-based cohort study. BMJ Open. 2017;7(7):e016788.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Davidson JE, Fu Q, Rao S, Magder LS, Petri M. Quantifying the burden of steroid-related damage in SLE in the Hopkins Lupus Cohort. Lupus Sci Med. 2018;5(1):e000237.

    PubMed  PubMed Central  Google Scholar 

  39. Chen HL, Shen LJ, Hsu PN, Shen CY, Hall SA, Hsiao FY. Cumulative Burden of Glucocorticoid-related Adverse Events in Patients with Systemic Lupus Erythematosus: Findings from a 12-year Longitudinal Study. J Rheumatol. 2018;45(1):83–9.

    Article  CAS  PubMed  Google Scholar 

  40. Balitsky AK, Peeva V, Su J, Aghdassi E, Yeo E, Gladman DD, et al. Thrombovascular events affect quality of life in patients with systemic lupus erythematosus. J Rheumatol. 2011;38(6):1017–9.

    Article  PubMed  Google Scholar 

  41. Dietz B, Katz P, Dall'Era M, Murphy LB, Lanata C, Trupin L, et al. Major Depression and Adverse Patient-Reported Outcomes in Systemic Lupus Erythematosus: Results From a Prospective Longitudinal Cohort. Arthritis Care Res (Hoboken). 2021;73(1):48–54.

    Article  PubMed  Google Scholar 

  42. Figueiredo-Braga M, Cornaby C, Cortez A, Bernardes M, Terroso G, Figueiredo M, et al. Depression and anxiety in systemic lupus erythematosus: The crosstalk between immunological, clinical, and psychosocial factors. Medicine (Baltimore). 2018;97(28):e11376.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Fonseca R, Bernardes M, Terroso G, de Sousa M, Figueiredo-Braga M. Silent Burdens in Disease: Fatigue and Depression in SLE. Autoimmune Dis. 2014;2014:790724.

    CAS  PubMed  PubMed Central  Google Scholar 

  44. Kang SC, Hwang SJ, Chang YS, Chou CT, Tsai CY. Characteristics of comorbidities and costs among patients who died from systemic lupus erythematosus in Taiwan. Arch Med Sci. 2012;8(4):690–6.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Bartels CM, Buhr KA, Goldberg JW, Bell CL, Visekruna M, Nekkanti S, et al. Mortality and cardiovascular burden of systemic lupus erythematosus in a US population-based cohort. J Rheumatol. 2014;41(4):680–7.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Ocampo-Piraquive V, Nieto-Aristizabal I, Canas CA, Tobon GJ. Mortality in systemic lupus erythematosus: causes, predictors and interventions. Expert Rev Clin Immunol. 2018;14(12):1043–53.

    Article  CAS  PubMed  Google Scholar 

  47. Rua-Figueroa I, Lopez-Longo J, Galindo-Izquierdo M, Calvo-Alen J, Del Campo V, Olive-Marques A, et al. Incidence, associated factors and clinical impact of severe infections in a large, multicentric cohort of patients with systemic lupus erythematosus. Semin Arthritis Rheum. 2017;47(1):38–45.

    Article  PubMed  Google Scholar 

  48. Tektonidou MG, Wang Z, Dasgupta A, Ward MM. Burden of Serious Infections in Adults With Systemic Lupus Erythematosus: A National Population-Based Study, 1996-2011. Arthritis Care Res (Hoboken). 2015;67(8):1078–85.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Fanouriakis A, Kostopoulou M, Alunno A, Aringer M, Bajema I, Boletis JN, et al. 2019 update of the EULAR recommendations for the management of systemic lupus erythematosus. Ann Rheum Dis. 2019;78(6):736–45.

    Article  CAS  PubMed  Google Scholar 

  50. Gordon C, Amissah-Arthur MB, Gayed M, Brown S, Bruce IN, D'Cruz D, et al. The British Society for Rheumatology guideline for the management of systemic lupus erythematosus in adults. Rheumatology (Oxford). 2018;57(1):e1–e45.

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank Siro Clinpharm Pvt Ltd for providing medical writing and editorial assistance.

Funding

This study was supported by Janssen Pharmaceutical companies of Johnson & Johnson.

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Authors and Affiliations

  1. Janssen Global Services LLC, Budapest, Hungary

    Fruzsina Kósa, Péter Kunovszki & Judit Gimesi-Országh

  2. Department of Rheumatology, Hospital of Bács-Kiskun County, Kecskemét, Hungary

    Melinda Kedves

  3. New Saint John Hospital and Outpatient Clinic, Budapest, Hungary

    Melinda Szabó

  4. Janssen Research & Development, Spring House, PA, USA

    Chetan S. Karyekar

  5. Department of Rheumatology and Clinical Immunology, Department of Internal Medicine and Oncology, Semmelweis University, Budapest, Hungary

    György Nagy

  6. Heart and Vascular Center, Semmelweis University, Budapest, Hungary

    György Nagy

  7. Department of Genetics, Cell- and Immunobiology, Semmelweis University, Budapest, Hungary

    György Nagy

Authors
  1. Fruzsina Kósa
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  2. Péter Kunovszki
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  7. György Nagy
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Contributions

Conceptualization: FK, PK, JGO, MK, MSz, CK, GyN. Data curation: PK, JGO. Formal analysis: PK, FK. Funding acquisition: FK. Investigation: MK, MSz, CK, GYN. Methodology: FK, PK, JGO, MK, MSz, CK, GYN. Project administration: FK, JGO. Resources: FK, CK, GyN. Software: PK. Supervision: CK, GyN. Writing – original draft: FK, PK, JGO, MK, MSz, GyN. Writing – review and editing: FK, PK, JGO, MK, MSz, CK, GyN. The authors read and approved the final manuscript.

Corresponding author

Correspondence to Fruzsina Kósa.

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Not applicable.

Competing interests

Fruzsina Kósa, Péter Kunovszki, and Judit Gimesi-Országh are employees at Janssen Global Commercial Strategy Organization, Budapest, Hungary. Chetan S. Karyekar is an employee at Janssen Research & Development, Spring House, PA, USA. Melinda Kedves, Melinda Szabó, and György Nagy declare no conflicts of interest.

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Supplementary Information

Additional file 1: Supplementary Table S1

: Treatments for systemic lupus erythematosus. Abbreviation: ATC – Anatomical Therapeutic Chemical.

Additional file 2: Supplementary Table S2

: ICD-10 codes for comorbidities. Abbreviations: ICD-10 – International Classification of Diseases, 10th edition.

Additional file 3: Supplementary Table S3

: Calculation of CCI.

Additional file 4: Supplementary Table S4

: Risk of comorbidity in SLE patients within 2 years prior diagnosis date and within the 2 years post-index period.

Additional file 5: Supplementary Figure S1

: Odds ratio of presenting comorbidities within 2 years post-index period for patients with SLE who received different doses of steroids vs. those who did not receive steroids in the index period.

Additional file 6: Supplementary Figure S2

: Comparison of CCI prior to diagnosis date of individuals presenting depression or anxiety in the post-index period, within SLE patients and matched controls.

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Kósa, F., Kunovszki, P., Gimesi-Országh, J. et al. High risk of depression, anxiety, and an unfavorable complex comorbidity profile is associated with SLE: a nationwide patient-level study. Arthritis Res Ther 24, 116 (2022). https://0-doi-org.brum.beds.ac.uk/10.1186/s13075-022-02799-6

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Keywords

Arthritis Research & Therapy

ISSN: 1478-6362

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