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Article

Medications for specific phenotypes of heart failure with preserved ejection fraction classified by a machine learning-based clustering model.

Heart (British Cardiac Society) - 27 Jul 2023

Sotomi Yohei, Hikoso Shungo, Nakatani Daisaku, Okada Katsuki, Dohi Tomoharu, Sunaga Akihiro, Kida Hirota, Sato Taiki, Matsuoka Yuki, Kitamura Tetsuhisa, Komukai Sho, Seo Masahiro, Yano Masamichi, Hayashi Takaharu, Nakagawa Akito, Nakagawa Yusuke, Tamaki Shunsuke, Ohtani Tomohito, Yasumura Yoshio, Yamada Takahisa, Sakata Yasushi

Abstract excerpt

OBJECTIVE: Our previously established machine learning-based clustering model classified heart failure with preserved ejection fraction (HFpEF) into four distinct phenotypes. Given the heterogeneous pathophysiology of HFpEF, specific medications may have favourable effects in specific phenotypes of HFpEF. We aimed to assess effectiveness of medications on clinical outcomes of the four phenotypes using a...

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Identifiers

PMID: 36822821
DOI: 10.1136/heartjnl-2022-322181
PMCID: PMC10423528

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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