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Dataset Information

A clinical score to predict mortality in patients after acute heart failure from Japanese registry.


ABSTRACT:

Aims

Clinical scores that consider physical and social factors to predict long-term observations in patients after acute heart failure are limited. This study aimed to develop and validate a prediction model for patients with acute heart failure at the time of discharge.

Methods and results

This study was retrospective analysis of the Kitakawachi Clinical Background and Outcome of Heart Failure Registry database. The registry is a prospective, multicentre cohort of patients with acute heart failure between April 2015 and August 2017. The primary outcome to be predicted was the incidence of all-cause mortality during the 3 years of follow-up period. The development cohort derived from April 2015 to July 2016 was used to build the prediction model, and the test cohort from Aug

SUBMITTER: Takabayashi K 

PROVIDER: S-EPMC8712813 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature