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A novel risk score model for predicting mortality in heart failure with preserved ejection fraction: Insights from the CURE-HF Registry–ApHAC score
- Takenori Aoki ,
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Sho Suzuki ,
Contributed equally to this work with: Takenori Aoki, Sho Suzuki
Roles Conceptualization, Data curation, Formal analysis, Methodology, Visualization, Writing – original draft, Writing – review & editing
* E-mail: jersey0042@gmail.com
Affiliation Department of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan
⨯ - Masatoshi Minamisawa,
- Koji Yoshie,
- Ken Nishikawa,
- Yukari Okuma,
- Kazuhiro Kimura,
-
Yasushi Ueki,
Roles Data curation, Supervision, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan
⨯ - Yasutaka Oguchi,
- Tamon Kato,
-
Tatsuya Saigusa,
Roles Data curation, Supervision, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan
⨯ -
Soichiro Ebisawa,
Roles Data curation, Supervision, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan
⨯ - Ayako Okada,
- Hirohiko Motoki,
-
Koichiro Kuwahara
Roles Supervision, Writing – review & editing
Affiliation Department of Cardiovascular Medicine, Shinshu University School of Medicine, Matsumoto, Japan
⨯
https://orcid.org/0000-0001-9058-9258
A novel risk score model for predicting mortality in heart failure with preserved ejection fraction: Insights from the CURE-HF Registry–ApHAC score
- Takenori Aoki,
- Sho Suzuki,
- Masatoshi Minamisawa,
- Koji Yoshie,
- Ken Nishikawa,
- Yukari Okuma,
- Kazuhiro Kimura,
- Yasushi Ueki,
- Yasutaka Oguchi,
- Tamon Kato
- Published: September 23, 2025
- https://doi.org/10.1371/journal.pone.0332913