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 (ß=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.

Association of the rs17250932, rs4794067, and rs2240017 polymorphism in the TBX21 gene with autoimmune diseases: A meta-analysis.

OBJECTIVE: To evaluate systematically the association between TBX21 gene polymorphisms (rs17250932, rs2240017, and rs4794067) and the risk of autoimmune diseases in Asian populations. METHODS: The Medline, Web of Science, and Chinese Biomedical Literature Database were used to retrieve eligible studies that were published before July 2020. Pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by using the dominant model, heterozygote contrast model, and allelic contrast model. Publication bias was evaluated using contour-enhanced funnel plots and Egger's regression test. Sensitivity analysis was conducted to assess the robustness of this meta-analysis. RESULTS: A total of 12 eligible studies, including 3834 patients and 4824 healthy controls, were recruited in this meta-analysis. The pooled data demonstrated that TBX21 rs2240017 and rs4794067 polymorphisms were significantly associated with the risk of autoimmune diseases in Asian populations in allelic contrast model (OR: 1.456, 95% CI: 1.131-1.875, P = 0.004; OR: 0.766, 95% CI: 0.615-0.954, P = 0.017), heterozygote comparison model (OR: 1.647, 95% CI: 1.239-2.189, P = 0.001; OR: 0.796, 95% CI: 0.634-0.999, P = 0.049), and dominant model (OR: 1.572, 95% CI: 1.194-2.071, P = 0.004; OR: 0.767, 95% CI: 0.607-0.970, P = 0.027). The G allele of rs2240017 may be a risk factor for autoimmune diseases, and the T allele of rs4794067 may increase the risk of autoimmune diseases. However, we failed to find evidence of the association between TBX21 rs17250932 polymorphism and susceptibility to autoimmune diseases. No publication bias was established in this meta-analysis. CONCLUSION: This meta-analysis indicated that TBX21 rs2240017 and rs4794067 polymorphism confer susceptibility to autoimmune diseases, but not rs17250932.

Association of the rs17250932, rs4794067, and rs2240017 polymorphism in the TBX21 gene with autoimmune diseases: A meta-analysis

Objective: To evaluate systematically the association between TBX21 gene polymorphisms (rs17250932, rs2240017, and rs4794067) and the risk of autoimmune diseases in Asian populations. Methods: The Medline, Web of Science, and Chinese Biomedical Literature Database were used to retrieve eligible studies that were published before July 2020. Pooled odds ratios (OR) and 95% confidence intervals (95% CI) were calculated by using the dominant model, heterozygote contrast model, and allelic contrast model. Publication bias was evaluated using contour-enhanced funnel plots and Egger’s regression test. Sensitivity analysis was conducted to assess the robustness of this meta-analysis. Results: A total of 12 eligible studies, including 3834 patients and 4824 healthy controls, were recruited in this meta-analysis. The pooled data demonstrated that TBX21 rs2240017 and rs4794067 polymorphisms were significantly associated with the risk of autoimmune diseases in Asian populations in allelic contrast model (OR: 1.456, 95% CI: 1.131–1.875, P = 0.004; OR: 0.766, 95% CI: 0.615–0.954, P = 0.017), heterozygote comparison model (OR: 1.647, 95% CI: 1.239–2.189, P = 0.001; OR: 0.796, 95% CI: 0.634–0.999, P = 0.049), and dominant model (OR: 1.572, 95% CI: 1.194–2.071, P = 0.004; OR: 0.767, 95% CI: 0.607–0.970, P = 0.027). The G allele of rs2240017 may be a risk factor for autoimmune diseases, and the T allele of rs4794067 may increase the risk of autoimmune diseases. However, we failed to find evidence of the association between TBX21 rs17250932 polymorphism and susceptibility to autoimmune diseases. No publication bias was established in this meta-analysis. Conclusion: This meta-analysis indicated that TBX21 rs2240017 and rs4794067 polymorphism confer susceptibility to autoimmune diseases, but not rs17250932 (AU)