Department of Geriatrics, Medical University of Bialystok, Bialystok, Poland.
Department of Geriatrics, Hospital of the Ministry of Interior in Bialystok, Bialystok, Poland.
Clin Interv Aging. 2019 May 14;14:879-887. doi: 10.2147/CIA.S206976. eCollection 2019.
Atrial fibrillation (AF) is an increasingly common rhythm disorder and an important risk factor of ischemic stroke, heart failure, hospitalization, and cardiovascular mortality. Its diagnosis, however, is often delayed because of silent character of the arrhythmia. The aim of the study was to identify independent determinants of AF in patients of the geriatric ward, so as to be able to propose a strategy for screening of this arrhythmia. Cross-sectional cohort study of patients admitted to the department of geriatrics was conducted. The prevalence of AF and its health correlates (including AF recognized risk factors) was assessed. Relative risks were calculated and multivariable logistic regression analysis model was built. The predictive performance was evaluated using receiver-operating characteristic (ROC) curve analysis. There were 416 patients hospitalized in the study period and 98 (23.6%) presented with AF. The independent predictors with top 3 strongest association with AF were congestive heart failure (OR 5.43; 95%CI 3.14-9.39; <0.001), age of 75+years (OR 4.0; 95% CI 1.43-11.2; =0.008), and previous history of stroke or transient ischemic attack (OR 2.1; 95% CI 1.06-4.13; =0.03). ROC analysis showed CHA2DS2-VASc scale significance as a screening tool for AF (ROC-AUC 0.75; 0.7-0.8; <0.001), with the value of 4 or more as the best cut-off point. Based on CHA2DS2-VASc score the intensity of surveillance for AF at a primary prevention population level could be probably guided, but it requires further research.
心房颤动(AF)是一种越来越常见的节律紊乱,也是缺血性卒中、心力衰竭、住院和心血管死亡率的重要危险因素。然而,由于心律失常的隐匿性,其诊断常常被延误。本研究旨在确定老年病房患者中 AF 的独立决定因素,以便能够提出筛查这种心律失常的策略。
这是一项针对老年科住院患者的横断面队列研究。评估了 AF 的患病率及其健康相关性(包括已识别的 AF 危险因素)。计算了相对风险,并建立了多变量逻辑回归分析模型。使用接收者操作特征(ROC)曲线分析评估预测性能。
在研究期间,有 416 名患者住院,其中 98 名(23.6%)患有 AF。与 AF 最强关联的前 3 个独立预测因素是充血性心力衰竭(OR 5.43;95%CI 3.14-9.39;<0.001)、年龄 75 岁及以上(OR 4.0;95%CI 1.43-11.2;=0.008)和既往卒中或短暂性脑缺血发作史(OR 2.1;95%CI 1.06-4.13;=0.03)。ROC 分析显示 CHA2DS2-VASc 量表作为 AF 筛查工具的意义(ROC-AUC 0.75;0.7-0.8;<0.001),4 分或以上为最佳截断点。
基于 CHA2DS2-VASc 评分,可能可以指导对一级预防人群中 AF 的监测强度,但需要进一步研究。