高尿酸血症与骨质疏松症关系的分析。
Analyses of the relationship between hyperuricemia and osteoporosis.
机构信息
Department of Orthopaedic Surgery, Yonsei University Wonju College of Medicine, Wonju, Korea.
Department of Orthopaedic Surgery, Hallym University College of Medicine, Anyang, Korea.
出版信息
Sci Rep. 2021 Jun 8;11(1):12080. doi: 10.1038/s41598-021-91570-z.
The aim of the present study was to evaluate the association between hyperuricemia and osteoporosis in a Korean population. Data from participants of the Korean Genome and Epidemiology Study who were ≥ 40 years old were collected from 2004 to 2016. Among 173,209 participants, 11,781 with hyperuricemia (> 7.0 mg/dL in men and > 6.0 mg/dL in women) and 156,580 controls were selected based on serum measurements. Odds ratios (ORs) of osteoporosis between individuals with hyperuricemia and controls were analyzed using a logistic regression model. In the adjusted model, age, sex, income group, body mass index, smoking, alcohol consumption, hypertension, diabetes mellitus, hyperlipidemia history and nutritional intake were adjusted. The adjusted OR (aOR) of osteoporosis was 0.79 [95% confidence interval (CI) = 0.71-0.87, P < 0.001]. In subgroup analyses according to age and sex, statistical significance was observed in men > 60 years old and in women > 50 years old. In another subgroup analysis according to past medical history, significant differences were found according to hypertension (aOR = 0.83, 95% CI = 0.73-0.94, and 0.75, 95% CI = 0.64-0.87), diabetes mellitus (aOR = 0.77, 95% CI = 0.69-0.86), and hyperlipidemia (aOR = 0.74, 95% CI = 0.61-0.89, and 0.81, 95% CI = 0.72-0.91). This study demonstrated that hyperuricemia was associated with a decreased risk of osteoporosis.
本研究旨在评估韩国人群中超尿酸血症与骨质疏松症之间的关联。从 2004 年至 2016 年,收集了参加韩国基因组与流行病学研究的年龄≥40 岁的参与者的数据。在 173209 名参与者中,根据血清测量结果,选择了 11781 名患有高尿酸血症(男性>7.0mg/dL,女性>6.0mg/dL)和 156580 名对照者。使用逻辑回归模型分析了患有高尿酸血症的个体与对照组之间骨质疏松症的比值比(OR)。在调整模型中,调整了年龄、性别、收入组、体重指数、吸烟、饮酒、高血压、糖尿病、高脂血症病史和营养摄入。骨质疏松症的调整比值比(aOR)为 0.79(95%置信区间[CI]:0.71-0.87,P<0.001)。根据年龄和性别进行亚组分析,在男性>60 岁和女性>50 岁时观察到统计学意义。根据过去的病史进行的另一个亚组分析显示,高血压(aOR=0.83,95%CI=0.73-0.94,和 0.75,95%CI=0.64-0.87)、糖尿病(aOR=0.77,95%CI=0.69-0.86)和高脂血症(aOR=0.74,95%CI=0.61-0.89,和 0.81,95%CI=0.72-0.91)存在显著差异。本研究表明,高尿酸血症与骨质疏松症风险降低相关。