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<p>Coronary artery disease (CAD) is a major risk factor for the development of heart failure (HF) with preserved ejection fraction (HFpEF) and is associated with increased mortality. However, an optimal strategy to screen for HFpEF among patients with CAD has not yet been established. The HFpEF-ABA score was introduced to estimate the pretest probability of HFpEF and was shown to predict adverse HF events. This retrospective multicenter cohort study included patients registered in the Clinical Deep Data Accumulation System database who underwent percutaneous coronary intervention from April 2013 to March 2019. Patients with a left ventricular (LV) ejection fraction ≥ 50% and no known history of HF were included. Age, body mass index, and a history of atrial fibrillation were used to calculate the HFpEF-ABA score, and patients were dichotomized at a 50% threshold for descriptive risk stratification. The primary endpoint was a composite of all-cause death and unplanned HF hospitalization. Among 3307 patients, those with high HFpEF-ABA scores were more likely to have hypertension, renal dysfunction, anemia, larger left atrial size, higher LV mass index, and elevated brain natriuretic peptide levels, consistent with an HFpEF phenotype. Over a median follow-up of 721 days, 275 patients experienced the primary endpoint. The HFpEF-ABA score was independently associated with the primary endpoint as both a continuous and a categorical variable (hazard ratio: 1.07 [95% confidence interval: 1.00–1.14], <i>P</i> = 0.043, and 1.37 [1.07–1.76], <i>P</i> = 0.015, respectively). The HFpEF-ABA score identifies CAD patients with an HFpEF phenotype and predicts adverse outcomes.</p> Graphical abstract <p></p>

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Prognostic value of pretest probability of heart failure with preserved ejection fraction in patients with coronary artery disease: an insight from the CLIDAS-PCI database

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月16日

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  • Tomoaki Nishikawa,
  • Shunsuke Tamaki,
  • Kazuhisa Nishimura,
  • Yasutaka Ihara,
  • Akinori Higaki,
  • Hiroshi Kawakami,
  • Katsuji Inoue,
  • Shuntaro Ikeda,
  • Osamu Yamaguchi,
  • Naoyuki Akashi,
  • Takahide Kohro,
  • Tomoyuki Kabutoya,
  • Kazuomi Kario,
  • Arihiro Kiyosue,
  • Masaharu Nakayama,
  • Yoshihiro Miyamoto,
  • Kenichi Tsujita,
  • Hideo Fujita,
  • Tetsuya Matoba,
  • Ryozo Nagai

摘要

Coronary artery disease (CAD) is a major risk factor for the development of heart failure (HF) with preserved ejection fraction (HFpEF) and is associated with increased mortality. However, an optimal strategy to screen for HFpEF among patients with CAD has not yet been established. The HFpEF-ABA score was introduced to estimate the pretest probability of HFpEF and was shown to predict adverse HF events. This retrospective multicenter cohort study included patients registered in the Clinical Deep Data Accumulation System database who underwent percutaneous coronary intervention from April 2013 to March 2019. Patients with a left ventricular (LV) ejection fraction ≥ 50% and no known history of HF were included. Age, body mass index, and a history of atrial fibrillation were used to calculate the HFpEF-ABA score, and patients were dichotomized at a 50% threshold for descriptive risk stratification. The primary endpoint was a composite of all-cause death and unplanned HF hospitalization. Among 3307 patients, those with high HFpEF-ABA scores were more likely to have hypertension, renal dysfunction, anemia, larger left atrial size, higher LV mass index, and elevated brain natriuretic peptide levels, consistent with an HFpEF phenotype. Over a median follow-up of 721 days, 275 patients experienced the primary endpoint. The HFpEF-ABA score was independently associated with the primary endpoint as both a continuous and a categorical variable (hazard ratio: 1.07 [95% confidence interval: 1.00–1.14], P = 0.043, and 1.37 [1.07–1.76], P = 0.015, respectively). The HFpEF-ABA score identifies CAD patients with an HFpEF phenotype and predicts adverse outcomes.

Graphical abstract