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Dataset Information

Value of baseline characteristics in the risk prediction of atrial fibrillation.


ABSTRACT:

Introduction

Atrial fibrillation (AF) is prone to heart failure and stroke. Early management can effectively reduce the stroke rate and mortality. Current clinical guidelines screen high-risk individuals based solely on age, while this study aims to explore the possibility of other AF risk predictors.

Methods

A total of 18,738 elderly people (aged over 60 years old) in Chinese communities were enrolled in this study. The baseline characteristics were mainly based on the diagnosis results of electrocardiogram (ECG) machine during follow up, accompanied by some auxiliary physical examination basic data. After the analysis of both independent and combined baseline characteristics, AF risk predictors were obtained and prioritized according to the results. Independent characteris

SUBMITTER: He J 

PROVIDER: S-EPMC9928725 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature