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Chinese SLE Treatment and Research Group (CSTAR) registry:VIII. Influence of socioeconomic and geographical variables on disease phenotype and activity in Chinese patients with SLE

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机构: [1]Beijing Hosp, Dept Rheumatol, Natl Ctr Gerontol, Beijing, Peoples R China; [2]Beijing Union Med Coll Hosp, Minist Educ, Dept Rheumatol, Key Lab Rheumatol & Clin Immunol, Beijing, Peoples R China; [3]Fourth Peoples Hosp Shenzhen Guangdong, Coll Med, Dept Rheumatol, Shenzhen, Guangdong, Peoples R China; [4]Capital Med Univ, Dept Rheumatol, Beijing Childrens Hosp, Beijing, Peoples R China; [5]Shanxi Med Univ, Hosp 2, Dept Rheumatol, Taiyuan, Shanxi, Peoples R China; [6]Fourth Mil Med Univ, Xijing Hosp, Dept Clin Immunol & Rheumatol, Xian, Shanxi, Peoples R China; [7]Capital Med Univ, Dept Rheumatol, Beijing Tongren Hosp, Beijing, Peoples R China; [8]Capital Med Univ, Dept Rheumatol, Beijing Chao Yang Hosp, Beijing, Peoples R China; [9]Anhui Prov Hosp, Dept Rheumatol, Hefei, Anhui, Peoples R China; [10]Jiangsu Prov Peoples Hosp, Dept Rheumatol, Nanjing, Jiangsu, Peoples R China; [11]Beijing Union Med Coll Hosp, Peking Union Med Coll, Dept Rheumatol, Beijing 100730, Peoples R China; [12]Chinese Acad Med Sci, Beijing 100730, Peoples R China; [13]Beijing Hosp, Natl Ctr Gerontol, Dept Rheumatol & Immunol, Beijing, Peoples R China
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关键词: geographical variable lupus nephritis SLEDAI socioeconomic status systemic lupus erythematous

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AimThe aim of this study was to estimate the influence of socioeconomic and geographical variables on disease phenotype and activity of systemic lupus erythematosus (SLE) in a Chinese population. MethodsData on 904 therapy-naive SLE patients from the Chinese SLE Treatment and Research Group (CSTAR), which is a nation-wide database of SLE patients, were used to evaluate the influence of socioeconomic status (SES) and geographical regions on disease phenotypes. The influence of regional climate and economic variables (i.e., data from the database of the Chinese Statistical Yearly Annals) on disease activity and nephropathy was further analyzed in a multivariate analysis to identify some of the environmental factors contributing to SLE. ResultsPhenotype differences in SLE were found between patients with different SES. In the multivariate regression analysis that considered regional economic and climate factors, after adjusting for age, gender and disease duration, lower educational levels (: -0.122, P = 0.001), lower availability of medical technical personnel (MTP) per 1000 people (: -0.192, P < 0.001), higher annual duration of sunshine (: 0.178, P = 0.010) and residence in southern China (: 0.165, P = 0.001) were significantly associated with higher disease activity scores. Living in southern China (odds ratio [OR]: 1.907, P = 0.002) seemed to be a significant risk factor for nephropathy. A high number of MTP per 1000 people (OR: 0.951, P = 0.014) and relatively high temperatures were determined to be protective factors for nephropathy (OR: 0.946, P = 0.011). ConclusionsThe phenotype pattern and disease activity varied between SLE patients by SES and other regional variables, such as educational level, availability of medical technical personnel, annual sunshine duration and regional temperature.

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出版当年[2017]版:
大类 | 4 区 医学
小类 | 4 区 风湿病学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 风湿病学
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第一作者机构: [1]Beijing Hosp, Dept Rheumatol, Natl Ctr Gerontol, Beijing, Peoples R China;
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通讯机构: [1]Beijing Hosp, Dept Rheumatol, Natl Ctr Gerontol, Beijing, Peoples R China; [2]Beijing Union Med Coll Hosp, Minist Educ, Dept Rheumatol, Key Lab Rheumatol & Clin Immunol, Beijing, Peoples R China; [11]Beijing Union Med Coll Hosp, Peking Union Med Coll, Dept Rheumatol, Beijing 100730, Peoples R China; [12]Chinese Acad Med Sci, Beijing 100730, Peoples R China; [13]Beijing Hosp, Natl Ctr Gerontol, Dept Rheumatol & Immunol, Beijing, Peoples R China
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