Predictive factors of quality of life among systemic lupus erythematosus patients in Thailand: a web-based cross-sectional study

The validity, reliability, and responsiveness of a new biopscyhosocial questionnaire for patients with systemic lupus erythematosus

OBJECTIVE

In recent years, the importance of holistic care in individuals with systemic lupus erythematosus (SLE) has been emphasized, and therefore a measurement tool that evaluates biopsychosocial impact is needed. This study was conducted to determine the validity, reliability, and responsiveness of the Cognitive Exercise Therapy Approach-Biopsychosocial Questionnaire (BETY-BQ) in individuals with SLE.

METHODS

Lupus Quality of Life (LupusQoL), Short Form-36 (SF-36), Health Assessment Questionnaire (HAQ), and Hospital Anxiety and Depression Scale (HADS) were used for the validity. For reliability, evaluations were repeated at 1 -week intervals and for responsiveness, the same scales were re-administered at 3-month intervals to 30 patients.

RESULTS

BETY-BQ showed moderate to high correlations with LupusQoL subparameters (rho = -0.522 to -0.718, p < 0.001), moderate to very high correlations with SF-36 subparameters (r = -0.826 to rho = 0.594, p < 0.001), high correlations with HAQ and HADS-D (rho = 0.735, p < 0.001; rho = 0.622, p < 0.001, respectively) and a moderate correlation with HADS-A (rho = 0.571, p < 0.001). In the test-retest method the correlation between the responses was very high (r = 0.989, p < 0.001). The intraclass correlation coefficient (r = 0.944, p < 0.001) and Cronbach's alpha value were found to be excellent (0.952). BETY-BQ showed moderate correlations with LupusQoL subparameters (the body image r = -0.443, p = 0.014; planning rho = -0.529, p = 0.003; fatigue r = -0.484, p = 0.007; intimate relationships rho = -0.421, p = 0.02), SF-36 social function subparameter (rho = -0.427, p = 0.019) and anxiety and depression subparameter of HADS (rho = 0.418, p = 0.021; r = 0.507, p = 0.004, respectively).

CONCLUSION

BETY-BQ which was found as a valid, reliable, and responsive scale in individuals with SLE, was presented to healthcare professionals for use in clinical and research studies as a scale that can be preferred in the evaluation of biopsychosocial status of individuals with SLE.

Glucocorticoid Withdrawal Symptoms and Quality of Life in Patients with Systemic Lupus Erythematosus

Methods

SLE patients whose prednisolone had been previously withdrawn or taken <5 mg/day were enrolled. Serum morning cortisol levels were collected after 72-hour GCS discontinuation, and low-dose ACTH stimulation test (LDST) was performed. Patient report outcomes (PROs) included SLE-specific quality of life questionnaire (SLEQoL), functional assessment of chronic illness therapy (FACIT), patient health questionnaire (PHQ-9), and Pittsburgh's sleep quality index (PSQI).

Results

Serum morning cortisol of 100 SLE patients was tested. Most patients were female (88%). Seventy-four patients showed remission. The mean ± SD of prednisolone was 0.73 ± 1.08 mg/day. Total SLEQoL and FACIT (mean ± SD) of all patients were 67.05 ± 26.15 and 13.7 ± 8.87, respectively. Eighteen percent of patients had moderate-severe depressive symptoms, and 49% were poor sleepers. Adrenal function was determined by LDST in only 39 patients; 5 patients (12.8%) were adrenal insufficiency (AI), and 34 patients were normal adrenal function. Compared to normal adrenal function patients, SLE patients with AI had higher proportion of moderate-severe depressive symptom (PHQ - 9 > 9), but not statistically significant (40% vs. 20.6%, p = 0.34). PROs were comparable between groups. Independent factors associated with SLEQoL were FACIT (adjusted β 1.31, 95% CI 0.76, 1.86, p < 0.001), PHQ-9 (adjusted β 5.21, 95% CI 4.32, 6.09, p < 0.001), and PSQI (adjusted β 4.23, 95% CI 3.01, 5.45, p < 0.001), but not with AI (adjusted β -5.2, 95% CI -33.26, 22.93, 0.71, p = 0.71).

Conclusion

SLE patients with previous GCS exposure could experience AI and withdrawal symptoms such as sleep disturbance and depression during discontinuation of low-dose GCS. Fatigue, depression, and poor sleeper were significantly associated with poor SLEQoL.

Health-related quality of life and its related factors in patients with systemic lupus erythematosus in southwest Iran: a cross-sectional study

BACKGROUND

Quality of life (QoL) is an important measure in health assessment. It is impacted by unclear factors in Systemic Lupus Erythematosus (SLE) patients. The study aimed to investigate the factors related to QoL in SLE patients.

METHODS

This cross-sectional study was performed on 140 (136 women and four men) Iranian SLE patients of Hafiz Hospital from June 2019 to August 2020. The Lupus Erythematosus Quality of Life Questionnaire (LEQoL) was used to evaluate the quality of life. The patients were evaluated with this questionnaire for four weeks in eight dimensions health, emotional health, body image, pain, planning, intimate relationships, and the burden of others. Related factors of LEQoL were evaluated using multivariable linear regression.

RESULTS

The mean age was 34.09(8.96) years. The total mean QoL Score was 65.5 ± 22.4. The multivariable analysis showed that duration of disease (β:-1.12, 95% CI:-1.44 to -0.79, P:0.001), physical activity(β:-12.99, 95% CI:-19.2 to -6.13, P:0.001), kidney involvement (β:-9.2, 95% CI:-16.61 to -2.79, P:0.03) and skin involvement(β:-8.7, 95% CI:-17.2 to -0.2, P:0.031) were significantly related to the total mean QOL score of SLE patients.

CONCLUSION

The QoL of Iranian patients with SLE was low. Age and gender can be related to the decrease in the QoL of patients with SLE. Increasing the disease duration, physical activity, kidney involvement, and skin involvement can be related to the decrease in the QOL of Iranian patients with SLE.

Investigating the role of health information technology in the control and management of Systemic Lupus Erythematosus (SLE): a systematic review

Background

Despite the use of health information technology (HIT) for controlling and managing lupus, its effectiveness has not been well studied. The objective of this study was to investigate the role of HIT in controlling and managing lupus.

Methods

We searched Scopus, PubMed, Web of Science, and Embase, using "self-management", "self-care" and "Systemic Lupus Erythematosus" keywords. Two researchers selected relevant papers and extracted data using a data collection form. Disagreements were resolved in consultation with the third and fourth researchers. After extraction, the data were analyzed.

Results

Totally, 23 papers met the inclusion criteria. About 75% of the studies used web and telephone-based technologies. Most services provided with health technologies were ‘Training’ and ‘consulting’. The ‘lifestyle" and ‘Consultation and education’ axes were the most widely used HIT services to control and manage lupus. While, ‘Better management and control of the disease’, ‘Increasing knowledge and awareness of people about lupus’ and ‘Improving behaviors and attitudes toward self-management and self-care’ were also the most important outcomes. ‘Collectiing patient data and information’, 'Providing education and consultation services to patients', 'Measuring patient-reported outcomes', and 'Increasing patients' knowledge and awareness of their disease' were the most important advantages of various technologies. 'Slow internet speed' and 'Challenges and problems related to appearance and usability' and 'Patient concerns about privacy and misuse of their data' were three disadvantages of technologies.

Conclusion

The findings showed that HIT can improve the management and control of lupus and facilitate self-efficacy, self-care, and self-management in patients. The axes and data elements identified in this study can be the basis for developing and implementing efficient HIT-based systems to improve, control, and manage lupus.

Predictors of stress in patients with Lupus

Background

Stress is common in patients with Systemic Lupus Erythematosus (SLE), and is associated with depression, fatigue, and disease flares. Stress may be modifiable and identifying those at high risk allows clinicians and allied health care professionals to develop a multidisciplinary management plan to direct appropriate resources. This study is aimed at identifying predictors of high stress over time among patients with SLE.

Methods

Longitudinal data from two interviews of the Lupus Outcomes Study 2 years apart from 726 patients with SLE were analyzed for stress, measured using the Perceived Stress Scale (PSS; high-stress PSS ≥6). T-test and Chi-square analyses compared patient characteristics by high-stress status. Logistic regressions were conducted with high stress as the dependent variable. Covariates included demographics, disease features, quality of life (QOL), health care utilization (HCU), and comorbidities. QoL was measured using the SF-36 form (Physical Component Score, PCS; Mental Component Score, MCS) and MOS Cognitive Functioning Scale (CFS). HCU indicated having established care with a rheumatologist, use of an emergency room or hospitalization, and quality of care. P ≤ 0.05 were considered significant.

Results

The mean age of the cohort was 50.6 (12.5) years, 92% were women and 68% were Caucasian. The mean (SD) PSS was 5.3 (3.6), and high stress (PSS >6) was noted in 253 participants. Those with high stress were more frequently below the poverty line and less commonly employed. They had a greater prevalence of comorbidities and HCU; and worse disease severity (activity, flare, damage) and QOL. In regression analyses, high stress (baseline) was associated with younger age, married status, worse QOL, and presence of diabetes. Better QOL (PCS, MCS) independently predicted decreased odds of high stress, while high stress (baseline) predicted high stress (OR 3.16, 95% CI 1.85, 5.37, p < 0.0001) at follow-up, after adjusting for demographics, disease features, HCU, and comorbidities.

Conclusion

Patients with SLE should be routinely screened for QOL and stress during their clinical care, to identify those at risk for poor health outcomes. This information can facilitate multidisciplinary management for those at risk for worse health outcomes.

The impact of distress disclosure and anxiety on the association between social support and quality of life among Chinese women with systemic lupus erythematosus

The evidence on the relationship between social support and quality of life in female systemic lupus erythematosus (SLE) patients is complex. The purpose of this study was to explore the impacts of distress disclosure and anxiety on the association between social support and quality of life among Chinese women with SLE. A cross-sectional study was conducted, and 237 samples were obtained. Measures included demographic characteristics, Lupus Quality of Life (LupusQoL), social support rate scale (SSRS), distress disclosure index (DDI), and self-rating anxiety scale (SAS). Descriptive statistics, correlation analysis, and moderated mediating effect analysis were carried out. The LupusQoL was negatively correlated with age, systemic lupus erythematosus disease activity index (SLEDAI), DDI, and SAS. SSRS had a positive predictive effect on the LupusQoL, while SLEDAI and DDI had the opposite effect. SAS had a negative predictive effect on the LupusQoL. There were interactive effects of SAS and DDI on LupusQoL. In the moderated mediation model, SAS played moderating effect in the role of DDI on LupusQoL; the DDI of female patients with SLE played a partial mediator role, the mediation effect was 0.19, and the mediation effect ratio was 33.3%. In conclusion, to pay attention to the QOL, we should consider the mediator role of distress disclosure and the moderating role of anxiety.

WHODAS Assessment Feasibility and Mental Health Impact on Functional Disability in Systemic Lupus Erythematosus

Systemic lupus erythematosus (SLE), besides rheumatological dysfunction, manifests in neuropsychiatric disorders like depression and anxiety. Mental health illnesses in SLE patients have a high prevalence and a profound impact on quality of life, generating an increased disability and premature mortality. This study aimed to establish the degree of disability in patients with SLE and the impact of depression and anxiety on patients’ functioning. Additionally, the study aimed to verify whether World Health Organization-Disability Assessment Schedule (WHODAS) 2.0 is suitable for the evaluation of patients with SLE associating depression and/or anxiety symptoms. Cross-sectional research was performed, including adult patients, diagnosed with SLE. To evaluate depression, anxiety, and functioning, approved questionnaires Hamilton Anxiety Rating Scale, Hamilton Depression Rating Scale, and, World Health Organization-Disability Assessment Schedule (WHODAS) were applied. Confirmatory factor analysis was performed on WHODAS subscales. Sixty-two patients were included in the research, with a mean of SLE diagnosis of 12.48 years; 53 patients (85%) had depression (p < 0.001). Anxiety was found in 38 patients (61.29%, p < 0.05). WHODAS assessment results depicted that 39 patients (62.90%, p < 0.05) manifested disability, from which 26 (66.66%, p < 0.05) presented moderate and severe disability. A strong correlation between the severity of anxiety and the degree of disability (r > 0.6, p < 0.001) was found. The WHODAS scale assessment proved to be a valuable tool for SLE patient’s functioning assessment. This study suggests that depression and anxiety negatively impact WHODAS disability scores, decreasing the quality of life in SLE patients.

Relation Among Anxiety, Depression, Sleep Quality and Health-Related Quality of Life Among Patients with Systemic Lupus Erythematosus: Path Analysis

Purpose

This study aimed to examine the relationship between anxiety, depression, sleep quality and health-related quality of life among systemic lupus erythematosus (SLE) patients in China.

Patients and Methods

After ethical approval and obtaining participants' informed consent, a cross-sectional study was conducted in The First Affiliated Hospital of Anhui Medical University between October 1, 2021 and January 30, 2022. The data comprised demographic information, number of SLE symptoms, Hospital Anxiety and Depression Scale (HADS), Pittsburgh Sleep Quality Index (PSQI) and Systemic Lupus Erythematosus-Specific Quality of Life Questionnaire (SLEQoL). We performed descriptive statistics, Spearman or Pearson correlations, and multiple linear regression. And Path analysis was performed to examine direct and indirect associations between these variables and health-related quality of life.

Results

A total of 580 patients were recruited and 513 met our target criteria. Our final model fitted the data well: goodness-of-fit index (GFI) =0.996; adjusted goodness-of-fit index (AGFI) =0.974; comparative fit index (CFI) =0.998; root mean square error of approximation (RMSEA) =0.043. This model explained 57.3% of the variance on health-related quality of life (HRQoL) in patients with SLE and all the hypothesized paths reached significance (P<0.05). Anxiety, depression, sleep quality, income/family, and number of SLE symptoms were related to health-related quality of life, and anxiety had the most influence on HRQoL (β=0.561).

Conclusion

The study model helps to explain the relation among anxiety, depression, sleep quality and health-related quality of life in patients with SLE. It also suggests that health care professionals should be aware of factors such as anxiety, sleep quality, number of SLE symptoms, and depression in their care for HRQoL of SLE patients.

Quality of life measures in Systemic Lupus Erythematosus: A systematic review

In this study we systematically investigated the health-related quality of life (HRQoL) tools, which have been most often used over the last five years to evaluate the QoL in patients with systemic lupus erythematosus (SLE), focusing on their items and applications. A detailed literature search was conducted: the inclusion criteria were as follows: 1) studies including at least 50 patients; 2) studies including at least 25 patients with SLE; 3) quality of life testing with validated measures. The systematic review was based on 119 studies for a total of 32,449 SLE patients and 3092 controls. A total of 35 different patients-reported quality of life measures, applied in cohorts of patients with SLE, were retrieved with the 36-item Medical Outcome Short Form (SF-36) (63 studies of 119 =52.95%), Lupus Quality of Life (LupusQoL) (17 studies =14.3%) and Lupus Patient-Reported Outcome (LupusPRO) (12 studies =10%) being the most commonly used tools. Overall, this systematic review of the literature indicated that quality of life in patients with SLE appears to be poor and generally lower compared to both the general population and patients with other chronic conditions, as was shown by a few studies that used SF-36 and LupusPRO. The use of HRQoL scoring in SLE is gaining increasing interest and is used both in randomized controlled trials and in real-life. Future efforts are needed to improve the understanding of the impact of the disease burden on quality of life from the patient’s perspective.