Open AccessElucidation of the Strongest Predictors of Cardiovascular Events in Patients with Heart Failure
Author(s) -
Hiroki Fukuda,
Kazuhiro Shindo,
Mari Sakamoto,
Tomomi Ide,
Shintaro Kinugawa,
Arata Fukushima,
Hiroyuki Tsutsui,
Shin Ito,
Akira Ishii,
Takashi Washio,
Masafumi Kitakaze
Publication year - 2018
Publication title -
ebiomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.596
H-Index - 63
ISSN - 2352-3964
DOI - 10.1016/j.ebiom.2018.06.001
Subject(s) - heart failure , medicine , cardiology
In previous retrospective studies, we identified the 50 most influential clinical predictors of cardiovascular outcomes in patients with heart failure (HF). The present study aimed to use the novel limitless-arity multiple-testing procedure to filter these 50 clinical factors and thus yield combinations of no more than four factors that could potentially predict the onset of cardiovascular events. A Kaplan-Meier analysis was used to investigate the importance of the combinations.
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