Choi Hyo Geun, Kwon Bong-Cheol, Kwon Mi Jung, Kim Ji Hee, Kim Joo-Hee, Park Bumjung, Lee Jung Woo
Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang 14068, Korea.
Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Korea.
J Pers Med. 2022 Apr 8;12(4):605. doi: 10.3390/jpm12040605.
The association between lipid levels and uric acid disorders remains controversial. We evaluated the association between dyslipidemia and gout in a large cohort from the Korean National Health Insurance Service-Health Screening Cohort. Among the 514,866 participants aged ≥40 years, 16,679 gout participants were selected and matched with 66,716 control participants for income, region of residence, sex, and age. We used the ICD-10 codes to define dyslipidemia (E78) and gout (M10) and diagnosis was confirmed when each was reported ≥2 times. The odds ratios (ORs) of dyslipidemia history were calculated using conditional logistic regression in crude, partial, and fully adjusted models. The days of statin use, systolic and diastolic blood pressure, fasting glucose level, total cholesterol, obesity, Charlson comorbidity index, alcohol consumption, and smoking were used as covariates. Patients with gout had a significantly higher dyslipidemia history than those without gout (33.1% vs. 24.0%, p < 0.001). The association was significant after adjustment (OR in partial adjusted model = 1.50, 95% confidence interval (CI) = 1.44−1.57; OR in fully adjusted model = 1.43, 95% CI = 1.37−1.49). These findings were consistent with the subgroup analysis. Our findings suggest that dyslipidemia history is more likely in patients with gout aged ≥40 years than in healthy controls among Korean population.
血脂水平与尿酸紊乱之间的关联仍存在争议。我们在韩国国民健康保险服务健康筛查队列的一个大型队列中评估了血脂异常与痛风之间的关联。在514,866名年龄≥40岁的参与者中,选择了16,679名痛风参与者,并与66,716名对照参与者在收入、居住地区、性别和年龄方面进行匹配。我们使用国际疾病分类第10版编码来定义血脂异常(E78)和痛风(M10),当每种情况报告≥2次时确诊。在粗模型、部分调整模型和完全调整模型中,使用条件逻辑回归计算血脂异常病史的比值比(OR)。他汀类药物使用天数、收缩压和舒张压、空腹血糖水平、总胆固醇、肥胖、查尔森合并症指数、饮酒和吸烟被用作协变量。痛风患者的血脂异常病史显著高于无痛风患者(33.1%对24.0%,p<0.001)。调整后该关联具有显著性(部分调整模型中的OR = 1.50,95%置信区间(CI) = 1.44 - 1.57;完全调整模型中的OR = 1.43,95%CI = 1.37 - 1.49)。这些发现与亚组分析一致。我们的研究结果表明,在韩国人群中,年龄≥40岁的痛风患者比健康对照者更有可能有血脂异常病史。