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Article

Identifying novel phenotypes of acute heart failure using cluster analysis of clinical variables.

International journal of cardiology - 1 Jul 2018

Horiuchi Yu, Tanimoto Shuzou, Latif A H M Mahbub, Urayama Kevin Y, Aoki Jiro, Yahagi Kazuyuki, Okuno Taishi, Sato Yu, Tanaka Tetsu, Koseki Keita, Komiyama Kota, Nakajima Hiroyoshi, Hara Kazuhiro, Tanabe Kengo

Abstract excerpt

BACKGROUND: Acute heart failure (AHF) is a heterogeneous disease caused by various cardiovascular (CV) pathophysiology and multiple non-CV comorbidities. We aimed to identify clinically important subgroups to improve our understanding of the pathophysiology of AHF and inform clinical decision-making. METHODS: We evaluated detailed clinical data of 345 consecutive AHF patients using non-hierarchical cluster...

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Acute Disease
Clinical Decision-Making
Cluster Analysis
Echocardiography
Follow-Up Studies

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Hospitalization

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PMID: 29622508
DOI: 10.1016/j.ijcard.2018.03.098

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