社区药房房颤早期检测- crifafarma研究。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-01-01 DOI:10.1177/10742484221078973
María González Valdivieso, Domingo Orozco-Beltrán, Adriana López-Pineda, Vicente Francisco Gil-Guillén, José A Quesada, Concepción Carratalá-Munuera, Rauf Nouni-García
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引用次数: 0

摘要

背景:房颤(AF)是临床上最常见的心律失常。与一般人群相比,房颤患者中风的风险是正常人的5倍。目的:本研究旨在确定50岁以上无房颤的人群中房颤的患病率,这些人群到社区药房检查心血管危险因素,确定与房颤相关的危险因素,并评估房颤筛查阳性人群的卒中风险。方法:2016年5月至12月进行了一项多中心观察性描述性研究。使用血压监测仪(Microlife Watch BP Home)筛查房颤,使用CHA2DS2-VASc问卷评估卒中风险。结果:该研究包括452名50岁以上的成年人。CRIFAFARMA研究发现AF的患病率为9.1%。房颤的危险因素为:75岁及以上(P = 0.024)、缺乏体力活动(P = 0.043)、糖尿病(P < 0.001)、血脂异常(P = 0.003)和心血管病史(P = 0.003)。糖尿病(OR 2.79, P = 0.005)和血脂异常(OR 2.16, P = 0.031)在年龄调整后的多变量logistic回归模型中具有联合解释能力。根据CHA2DS2-VASc量表,85%的患者卒中风险较高。结论:超过9%的纳入人群检测到房颤。与房颤相关的因素有高龄、缺乏体力活动、糖尿病、血脂异常和心血管病史,其中糖尿病和血脂异常是具有独立解释能力的因素。
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Early Detection of Atrial Fibrillation in Community Pharmacies-CRIFAFARMA Study.

Background: 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.

Objective: 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.

Methods: 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.

Results: 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 (P = .024), lack of physical activity (P = .043), diabetes (P < .001), dyslipidemia (P = .003), and history of cardiovascular disease (P = .003). Diabetes (OR 2.79, P = .005) and dyslipidemia (OR 2.16, P = .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.

Conclusions: 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.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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