Predicting Heart Failure in Patients with Atrial Fibrillation: A Report from the Prospective COOL-AF Registry.

ABSTRACT:

Background

This study aimed to determine risk factors and incidence rate and develop a predictive risk model for heart failure for Asian patients with atrial fibrillation (AF).

Methods

This is a prospective multicenter registry of patients with non-valvular AF in Thailand conducted between 2014 and 2017. The primary outcome was the occurrence of an HF event. A predictive model was developed using a multivariable Cox-proportional model. The predictive model was assessed using C-index, D-statistics, Calibration plot, Brier test, and survival analysis.

Results

There were a total of 3402 patients (average age 67.4 years, 58.2% male) with mean follow-up duration of 25.7 ± 10.6 months. Heart failure occurred in 218 patients during follow-up, representing an incidence rate o

SUBMITTER: Krittayaphong R 

PROVIDER: S-EPMC9967148 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature