Department of Clinical Medicine, 541992Miguel Hernández University, San Juan de Alicante, Spain.
J Cardiovasc Pharmacol Ther. 2022 Jan-Dec;27:10742484221078973. doi: 10.1177/10742484221078973.
Atrial fibrillation (AF) is the most common arrhythmia to appear in clinical practice. People with AF have 5 times the risk of stroke compared to the general population.
This study aimed to determine the prevalence of AF in people over the age of 50 without known AF, who presented to a community pharmacy to check their cardiovascular risk factors, to identify risk factors associated with AF, and to assess the risk of stroke in people who screened positive for AF.
A multicenter observational descriptive study of a screening program took place from May to December 2016. A blood pressure monitor (Microlife Watch BP Home) was used to screen for AF, and the CHA2DS2-VASc questionnaire was used to assess stroke risk.
The study included 452 adults over the age of 50. The CRIFAFARMA study detected a prevalence of AF of 9.1%. Risk factors for AF were: age of 75 years or older ( = .024), lack of physical activity ( = .043), diabetes ( < .001), dyslipidemia ( = .003), and history of cardiovascular disease ( = .003). Diabetes (OR 2.79, = .005) and dyslipidemia (OR 2.16, = .031) had a combined explanatory capacity in the multivariable logistic regression model adjusted for age. 85% were at high risk of stroke according to the CHA2DS2-VASc scale.
AF was detected in more than 9% of the included population. Factors associated with AF were advanced age, lack of physical activity, diabetes, dyslipidemia, and history of cardiovascular disease, with diabetes and dyslipidemia standing out as the factors with independent explanatory capacity.
心房颤动（AF）是临床实践中最常见的心律失常。与普通人群相比，AF 患者发生中风的风险增加 5 倍。
本研究旨在确定在没有已知 AF 的情况下，年龄在 50 岁以上、到社区药房检查心血管危险因素的人群中 AF 的患病率，确定与 AF 相关的危险因素，并评估 AF 筛查阳性人群的中风风险。
2016 年 5 月至 12 月进行了一项多中心观察性描述性筛查研究。使用血压监测仪（Microlife Watch BP Home）筛查 AF，使用 CHA2DS2-VASc 问卷评估中风风险。
本研究纳入了 452 名年龄在 50 岁以上的成年人。CRIFAFARMA 研究发现 AF 的患病率为 9.1%。AF 的危险因素包括：年龄 75 岁或以上（ =.024）、缺乏体力活动（ =.043）、糖尿病（ <.001）、血脂异常（ =.003）和心血管疾病史（ =.003）。在调整年龄的多变量逻辑回归模型中，糖尿病（OR 2.79， =.005）和血脂异常（OR 2.16， =.031）具有联合解释能力。根据 CHA2DS2-VASc 量表，85%的人中风风险较高。
在所纳入的人群中，超过 9%的人患有 AF。与 AF 相关的因素包括年龄较大、缺乏体力活动、糖尿病、血脂异常和心血管疾病史，其中糖尿病和血脂异常是具有独立解释能力的因素。
