南京市某社区≥50岁人群房颤危险因素的病例对照研究

  目的  探讨江苏南京某社区≥50岁人群发生心房颤动的危险因素。  方法  2019年3月1日至4月30日，对南京市栖霞区某社区医院进行健康检查的社区老年人群开展流行病学现况调查，经12导联心电图诊断后的房颤患者为病例组，按照年龄、性别进行1:4频数匹配后的非房颤人群作为对照组。采用单因素和多因素条件Logisitc回归分析模型分析心房颤动可能的危险因素。  结果  共调查3 444名社区老人，男女性别比为1:2，房颤检出率为1.19%。单因素条件Logistic回归分析模型分析结果提示:血尿酸(OR=1.01, 95% CI: 1.00~1.01)、红细胞比容(OR=1.11, 95% CI: 1.01~1.23)、红细胞分布宽度(OR=1.50, 95% CI: 1.05~2.14)可能是房颤的危险因素。多因素条件Logistic回归分析模型分析结果显示:红细胞比容每升高1%，个体发生房颤的风险增加13%(OR=1.13, 95% CI: 1.01~1.27)；红细胞分布宽度每升高1%，个体发生房颤的风险可能增加61%(OR=1.61, 95% CI: 1.00~2.59)。  结论  红细胞比容、红细胞分布宽度增加可能是南京社区老年人群房颤发生的可疑危险因素。本研究的结论需要进一步扩大样本验证。

A case-control study on risk factors for atrial fibrillation among people over 50 years old in a community in Nanjing

Objective To explore the risk factors of atrial fibrillation(AF) in people aged 50 years and above in Nanjing, Jiangsu Province. Methods An epidemiological survey was conducted among the elderly in a community healthcare center in Qixia District from March 1, 2019 to April 30, 2019. The case group was defined as patients with AF diagnosed by 12-lead electrocardiogram(ECG), and the controls were a non-AF population matched by age and sex, with a matching ratio of 1∶4. Univariate and multivariate conditional Logistic regression analysis model were used to analyse possible influencing factors. Results A total of 3 444 cases were investigated. The ratio of male to female is 1∶2, and the detection rate of AF was 1.19%. The univariate Logistic regression analysis indicated that serum uric acid(OR=1.01, 95% CI: 1.00-1.01), hematocrit(HCT, OR=1.11, 95% CI: 1.01-1.23) and red blood cell distribution width(RDW, OR=1.50, 95% CI: 1.05-2.14) might be risk factors for AF. The multivariate Logistic regression analysis model results showed that each increase of 1% in HCT and RDW was associated with a 13%(OR=1.13, 95% CI: 1.01-1.27) and 61%(OR=1.61, 95% CI: 1.00-2.59) increased risk of AF respectively. Conclusions HCT and RDW may be independent risk factors for atrial fibrillation in the elderly in Nanjing community. In addition, the results of this study need to be further verified due to the limited sample size.