Wei Zhou1,2, Jinjin Zhu2, Jiaxin Guo2, Huamao Chen2, Xiaomei Zhang2, Zhifeng Gu3, Fengyan Zhou2, Chen Dong1,2. 1. Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China. 2. Department of Nursing, Affiliated Hospital of Nantong University, Nantong, China. 3. Department of Rheumatology, Affiliated Hospital of Nantong University, Nantong, China.
Abstract
OBJECTIVE: The Gout Impact Scale (GIS) is a disease-specific health-related quality of life (HR-QoL) measurement for patients with gout. This study aimed to investigate the quality of life in Chinese patients with gout and potential risk factors for poorer HR-QoL by GIS. METHODS: Adults with gout from February 2017 to February 2019 were invited to complete a questionnaire containing the GIS, social demographic characteristics, clinical information and gout-specific questions. Pearson/Spearman correlation and linear regression were used to analyze the data. RESULTS: A total of 413 patients were included in the analysis (mean age, 51.85 years; 96.4% male). The mean (SD) score of GIS total was 56.79 ± 15.45. Worse gout-specific HR-QoL was associated with anxiety (p < .05), depression (p < .05) and fatigue (p < .05). The effectiveness and global satisfaction of Treatment Satisfaction Questionnaire for Medication (TSQM) were negatively related to each dimension of GIS. Age (B = -0.251, p = .013), fatigue (B = 1.850, p < .001) and depression (B = 9.068, p = .042) were independent predictors of GIS total score. CONCLUSION: Gout-specific HR-QoL is impaired by social demographic and clinical characteristics, highlighting the importance of psychological factors (fatigue and depression) and patient-reported outcomes (patients' satisfaction and confidence in gout treatment). These findings suggest that more studies should focus on disease-specific HR-QoL.
OBJECTIVE: The Gout Impact Scale (GIS) is a disease-specific health-related quality of life (HR-QoL) measurement for patients with gout. This study aimed to investigate the quality of life in Chinese patients with gout and potential risk factors for poorer HR-QoL by GIS. METHODS: Adults with gout from February 2017 to February 2019 were invited to complete a questionnaire containing the GIS, social demographic characteristics, clinical information and gout-specific questions. Pearson/Spearman correlation and linear regression were used to analyze the data. RESULTS: A total of 413 patients were included in the analysis (mean age, 51.85 years; 96.4% male). The mean (SD) score of GIS total was 56.79 ± 15.45. Worse gout-specific HR-QoL was associated with anxiety (p < .05), depression (p < .05) and fatigue (p < .05). The effectiveness and global satisfaction of Treatment Satisfaction Questionnaire for Medication (TSQM) were negatively related to each dimension of GIS. Age (B = -0.251, p = .013), fatigue (B = 1.850, p < .001) and depression (B = 9.068, p = .042) were independent predictors of GIS total score. CONCLUSION:Gout-specific HR-QoL is impaired by social demographic and clinical characteristics, highlighting the importance of psychological factors (fatigue and depression) and patient-reported outcomes (patients' satisfaction and confidence in gout treatment). These findings suggest that more studies should focus on disease-specific HR-QoL.
Entities:
Keywords:
Gout Impact Scale; gout; quality of life