Division of Rheumatology, Department of Internal Medicine, National Health Insurance Corporation Ilsan Hospital, 100 Ilsan-ro, Ilsandong-gu, Goyang-si, Gyeonggi-do 410-719, South Korea.
Clin Rheumatol. 2013 Jun;32(6):829-37. doi: 10.1007/s10067-013-2183-9. Epub 2013 Feb 10.
The aim of this study was to identify the factors associated with gout among South Koreans. A case control study of gout patients newly diagnosed between January 1, 2007, and December 31, 2008, and matching controls was conducted using the nationwide database (National Health Insurance Corporation and National Health Screening Exam (NHSE) database), which included the health-care records of 48.1 million individuals. Of 495,998 newly diagnosed patients, we included 18,123 who were ≥40 years old and had an NHSE before diagnosis of gout. To elucidate the factors associated with gout, multivariate conditional logistic analyses were performed. Gout was associated with drinking ≥1/week (p < 0.001), drinking ≥1 bottle of soju/session (p < 0.001), high body mass index (BMI) (p < 0.001), high blood pressure (p < 0.001), high total cholesterol (p < 0.001), proteinuria (multivariate odds ratio (OR) = 1.75; 95 % confidence interval (CI) = 1.53-2.00), and an elevated uric acid (multivariate OR = 1.54; 95 % CI = 1.22-1.94). Exercise frequency was not significantly associated with gout. Prediabetic blood sugar level (100-125 mg/dL) was associated with gout in the univariate analysis, but not in the multivariate analysis. Diabetic blood sugar level (≥126 mg/dL) was associated with a decreased odds of gout (multivariate OR = 0.79; 95 % CI = 0.73-0.86). Our nationwide South Korean study showed that frequent and excessive alcohol consumption, high BMI, high blood pressure, high total cholesterol, proteinuria, and high uric acid are associated with gout.
本研究旨在确定与韩国人痛风相关的因素。采用全国性数据库（国家健康保险公社和国家健康筛查考试（NHSE）数据库）进行痛风新发病例（2007 年 1 月 1 日至 2008 年 12 月 31 日确诊）的病例对照研究，并与匹配对照进行比较，该数据库包含 4810 万人的医疗记录。在 495988 例新诊断患者中，我们纳入了 18123 例年龄≥40 岁且在痛风诊断前接受过 NHSE 的患者。为了阐明与痛风相关的因素，我们进行了多变量条件逻辑分析。痛风与每周饮酒≥1 次（p<0.001）、每周饮酒≥1 瓶烧酒/次（p<0.001）、高体重指数（BMI）（p<0.001）、高血压（p<0.001）、高总胆固醇（p<0.001）、蛋白尿（多变量比值比（OR）=1.75；95%置信区间（CI）=1.53-2.00）和尿酸升高（多变量 OR=1.54；95%CI=1.22-1.94）相关。运动频率与痛风无显著相关性。糖尿病前期血糖水平（100-125mg/dL）在单变量分析中与痛风相关，但在多变量分析中不相关。糖尿病血糖水平（≥126mg/dL）与痛风发病风险降低相关（多变量 OR=0.79；95%CI=0.73-0.86）。我们的全国性韩国研究表明，频繁和过量饮酒、高 BMI、高血压、高总胆固醇、蛋白尿和高尿酸与痛风有关。
