C2HEST score predicts clinical outcomes in heart failure with preserved ejection fraction: a secondary analysis of the TOPCAT trial

Weihao Liang, Yuzhong Wu, Ruicong Xue, Zexuan Wu, Dexi Wu, Jiangui He, Yugang Dong, Gregory Y H Lip, Wengen Zhu, Chen Liu

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11 Citations (Scopus)
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Abstract

BACKGROUND: The C2HEST score has been validated for predicting AF in the general population or post-stroke patients. We aimed to assess whether this risk score could predict incident AF and other clinical outcomes in heart failure with preserved ejection fraction (HFpEF) patients.

METHODS: A total of 2202 HFpEF patients without baseline AF in the TOPCAT trial were stratified by baseline C2HEST score. Cox proportional hazard model and competing risk regression model was used to explore the relationship between C2HEST score and outcomes, including incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The discriminative ability of the C2HEST score for various outcomes was assessed by calculating the area under the curve (AUC).

RESULTS: The incidence rates of incident AF, stroke, all-cause death, cardiovascular death, any hospitalization, and HF hospitalization were 1.79, 0.70, 3.81, 2.42, 15.50, and 3.32 per 100 person-years, respectively. When the C2HEST score was analyzed as a continuous variable, increased C2HEST score was associated with increased risk of incident AF (HR 1.50, 95% CI 1.29-1.75), as well as increased risks of all-cause death, cardiovascular death, any hospitalization, and HF hospitalization. The AUC for the C2HEST score in predicting incident AF (0.694, 95% CI 0.640-0.748) was higher than all-cause death, cardiovascular death, any hospitalization, or HF hospitalization.

CONCLUSIONS: The C2HEST score could predict the risk of incident AF as well as death and hospitalization with moderately good predictive abilities in patients with HFpEF. Its simplicity may allow the possibility of quick risk assessments in busy clinical settings.

Original languageEnglish
Article number44
JournalBMC Medicine
Volume19
Issue number1
Number of pages10
ISSN1741-7015
DOIs
Publication statusPublished - 18 Feb 2021

Keywords

  • Atrial fibrillation
  • Heart failure
  • Outcomes
  • Risk prediction

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