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

Author:

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

Abstract

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.

Funder

National Natural Science Foundation of China

Science and Technology Program Foundation of Guangzhou

Science and Technology Program Foundation of Guangdong

Natural Science Foundation of Guangdong Province

Guangdong Medical Research Foundation

Postdoctoral Research Foundation of China

Young Teachers’ Basic Scientific Research Business Expenses Project

National Postdoctoral Program for Innovative Talents

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

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