Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study

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

doi:https://doi.org/10.1161/JAHA.124.037567

Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study

Matsuoka, Yuki; Sotomi, Yohei; Nakatani, Daisaku et al.

Journal of the American Heart Association, 2025, 14(3)

Number of Access:2,316（2025-08-14 04:32 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/101064

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Title	Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study
Creator	CreatorName Matsuoka, Yuki
	NRID 1000090885253 1000090885253 CreatorName Sotomi, Yohei
	NRID 1000060444535 1000060444535 researchmap permalink dsyma dsyma Scopus Author ID 6603545219 6603545219 CreatorName Nakatani, Daisaku
	NRID 1000020776489 1000020776489 researchmap permalink katsuki_okada katsuki_okada Scopus Author ID 13613369100 13613369100 CreatorName Okada, Katsuki
	NRID 1000010812258 1000010812258 researchmap permalink 10812258 10812258 CreatorName Sunaga, Akihiro
	CreatorName Kida, Hirota
	CreatorName Sato, Taiki
	CreatorName Sakamoto, Daisuke
	NRID 1000030639810 1000030639810 ORCID 0000-0003-0107-0580 0000-0003-0107-0580 researchmap permalink Kitamura_T Kitamura_T Scopus Author ID 22234282700 22234282700 CreatorName Kitamura, Tetsuhisa
	NRID 1000070794543 1000070794543 ORCID 0000-0002-4329-2520 0000-0002-4329-2520 researchmap permalink sho.komukai sho.komukai Scopus Author ID 57200127087 57200127087 CreatorName Komukai, Sho
	CreatorName Seo, Masahiro
	CreatorName Yano, Masamichi
	CreatorName Hayashi, Takaharu
	CreatorName Nakagawa, Akito
	CreatorName Nakagawa, Yusuke
	CreatorName Tamaki, Shunsuke
	CreatorName Yasumura, Yoshio
	CreatorName Yamada, Takahisa
	NRID 1000030423164 1000030423164 CreatorName Hikoso, Shungo
	CreatorName Sakata, Yasushi
Subject	HFpEF
	latent class analysis
	machine learning
	phenotyping
Description	Matsuoka Y., Sotomi Y., Nakatani D., et al. Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction: Insights From the PURSUIT-HFpEF Study. Journal of the American Heart Association 14, e037567 (2025); https://doi.org/10.1161/JAHA.124.037567.
Abstract	BACKGROUND : Using machine learning for the phenotyping of patients with heart failure with preserved ejection fraction (HFpEF) has emerged as a novel approach to understanding the pathophysiology and stratifying the patients. Our objective is to perform phenotyping of patients with HFpEF in stable phase and to investigate the phenotypic trajectory from acute worsening phase to stable phase. METHODS : The present study is a post hoc analysis of the PURSUIT-HFpEF (Prospective Multicenter Observational Study of Patients with Heart Failure with Preserved Ejection Fraction) study. We applied the latent class analysis to the discharge data of patients hospitalized for acute decompensated heart failure. RESULTS : We finally included patient data of 1100 cases and 63 features in the latent class analysis. All patients were subclassified into 5 phenogroups as follows: Phenotype 1, characterized by better renal function and lower NT-proBNP (N-terminal proB-type natriuretic peptide) level [N=325 (29.5%)]; Phenotype 2, higher blood pressure, sinus rhythm, and poor renal function. [N=242 (22.0%)]; Phenotype 3, higher prevalence of atrial fibrillation, higher tricuspid pressure gradient, and lower tricuspid annular plane systolic excursion [N=214 (19.5%)]; Phenotype 4, higher C-reactive protein level and higher tricuspid pressure gradient [N=245 (22.3%)]; and Phenotype 5, poor nutritional status, poor renal function, and higher NT-proBNP level [N=74 (6.7%)]. A particular phenotype observed at the time of discharge was correlated with a distinct phenotype of acute worsening. CONCLUSIONS: We identified 5 distinct stable phase phenotypes of the patients with HFpEF from the data at discharge. A specific phenotype at discharge was associated with a particular phenotype of acute worsening. This grouping can be a basis for future precision medicine of patients with HFpEF. REGISTRATION: URL: https://www.umin.ac.jp/ctr/; Unique identifier: UMIN000021831.
Publisher	American Heart Association Inc.
Source Title	Journal of the American Heart Association
Volume (Issue)	14(3)
Date of Issued	2025-02-04
Language	English
Handle URL	https://hdl.handle.net/11094/101064
eISSN	20479980
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1161/JAHA.124.037567
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Journal of the American Heart Association. 2025, 14(3)
DC.title	Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study
DC.creator	Matsuoka, Yuki
	Sotomi, Yohei
	Nakatani, Daisaku
	Okada, Katsuki
	Sunaga, Akihiro
	Kida, Hirota
	Sato, Taiki
	Sakamoto, Daisuke
	Kitamura, Tetsuhisa
	Komukai, Sho
	Seo, Masahiro
	Yano, Masamichi
	Hayashi, Takaharu
	Nakagawa, Akito
	Nakagawa, Yusuke
	Tamaki, Shunsuke
	Yasumura, Yoshio
	Yamada, Takahisa
	Hikoso, Shungo
	Sakata, Yasushi
DC.publisher	American Heart Association Inc.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2025-02-04
DC.identifier	https://doi.org/10.1161/JAHA.124.037567
DC.subject	HFpEF
	latent class analysis
	machine learning
	phenotyping
DC.description	Matsuoka Y., Sotomi Y., Nakatani D., et al. Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction: Insights From the PURSUIT-HFpEF Study. Journal of the American Heart Association 14, e037567 (2025); https://doi.org/10.1161/JAHA.124.037567.
DCTERMS.abstract	BACKGROUND : Using machine learning for the phenotyping of patients with heart failure with preserved ejection fraction (HFpEF) has emerged as a novel approach to understanding the pathophysiology and stratifying the patients. Our objective is to perform phenotyping of patients with HFpEF in stable phase and to investigate the phenotypic trajectory from acute worsening phase to stable phase. METHODS : The present study is a post hoc analysis of the PURSUIT-HFpEF (Prospective Multicenter Observational Study of Patients with Heart Failure with Preserved Ejection Fraction) study. We applied the latent class analysis to the discharge data of patients hospitalized for acute decompensated heart failure. RESULTS : We finally included patient data of 1100 cases and 63 features in the latent class analysis. All patients were subclassified into 5 phenogroups as follows: Phenotype 1, characterized by better renal function and lower NT-proBNP (N-terminal proB-type natriuretic peptide) level [N=325 (29.5%)]; Phenotype 2, higher blood pressure, sinus rhythm, and poor renal function. [N=242 (22.0%)]; Phenotype 3, higher prevalence of atrial fibrillation, higher tricuspid pressure gradient, and lower tricuspid annular plane systolic excursion [N=214 (19.5%)]; Phenotype 4, higher C-reactive protein level and higher tricuspid pressure gradient [N=245 (22.3%)]; and Phenotype 5, poor nutritional status, poor renal function, and higher NT-proBNP level [N=74 (6.7%)]. A particular phenotype observed at the time of discharge was correlated with a distinct phenotype of acute worsening. CONCLUSIONS: We identified 5 distinct stable phase phenotypes of the patients with HFpEF from the data at discharge. A specific phenotype at discharge was associated with a particular phenotype of acute worsening. This grouping can be a basis for future precision medicine of patients with HFpEF. REGISTRATION: URL: https://www.umin.ac.jp/ctr/; Unique identifier: UMIN000021831.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	101064
citation_title	Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study
citation_author	Matsuoka, Yuki
	Sotomi, Yohei
	Nakatani, Daisaku
	Okada, Katsuki
	Sunaga, Akihiro
	Kida, Hirota
	Sato, Taiki
	Sakamoto, Daisuke
	Kitamura, Tetsuhisa
	Komukai, Sho
	Seo, Masahiro
	Yano, Masamichi
	Hayashi, Takaharu
	Nakagawa, Akito
	Nakagawa, Yusuke
	Tamaki, Shunsuke
	Yasumura, Yoshio
	Yamada, Takahisa
	Hikoso, Shungo
	Sakata, Yasushi
citation_publisher	American Heart Association Inc.
citation_language	English
citation_date	2025-02-04
citation_journal_title	Journal of the American Heart Association
citation_volume	14
citation_issue	3
citation_doi	https://doi.org/10.1161/JAHA.124.037567
citation_public_url	https://hdl.handle.net/11094/101064

Phenotypic Trajectories From Acute to Stable Phase in Heart Failure With Preserved Ejection Fraction : Insights From the PURSUIT-HFpEF Study

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