Nomogram to predict the incidence of new-onset heart failure after acute coronary syndrome among women

Frontiers in Cardiovascular Medicine

Cardiovascular Medicine

Lifang Ye¹  Qinggang Zhang¹  Xin Zhang¹  Lihong Wang¹  Qiqi Yan²  Liuyang Wu²  Jikai Song³ 

[1] Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, China;Heart Center, Department of Cardiovascular Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, China;The Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China;Qingdao University, China;

关键词: acute coronary syndrome;    heart failure;    nomogram;    women;    10-fold cross-validation;   

DOI  :  10.3389/fcvm.2023.1131813

 received in 2022-12-26, accepted in 2023-03-08,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundAlthough great progress has been made in caring for patients with acute coronary syndrome (ACS), the incidence of heart failure (HF) after discharge remains high after ACS.AimsWe aimed to investigate the risk predictors for new-onset HF and build a simple nomogram to optimize the clinical management of female patients.MethodsThe clinical data of 319 female patients with ACS between January 1, 2021 and January 1, 2022, were obtained from the Zhejiang Provincial People’s Hospital. Multivariate logistic regression analysis was carried out to build the prediction model among all participants and then verified by 10-fold cross-validation. The discrimination, calibration, and clinical usefulness of the prediction model were assessed using receiver operating characteristic curve, calibration curve, and decision curve analyses.ResultsThis study analyzed 15 potential independent risk predictors of new-onset HF in 319 female patients with ACS. The incidence of HF onset was 23.2%. The following 5 independent risk predictors were filtered out as most relevant for predicting 12-month HF onset: left ventricular ejection fraction ≤ 60.5%, high-density lipoprotein ≤ 1.055 mmol/L, human epididymal protein 4 > 69.6 pmol/L, creatinine > 71.95 µmol/L, and diagnosis of myocardial infarction (MI).ConclusionOur nomogram, which used five easily obtained clinical variables, could be a useful tool to help identify female individuals with ACS who are at high risk of developing HF after discharge and facilitate communication between female patients and physicians.

【 授权许可】

Unknown   
© 2023 Yan, Ye, Zhang, Song, Zhang, Wu and Wang.