Related Experiment Video
Updated: May 1, 2026
Establishing a Swine Model of Post-myocardial Infarction Heart Failure for Stem Cell Treatment
Published on: May 25, 2020
Establishment and evaluation of predictive model for acute heart failure after PCI in patients with STEMI
Jun Li1, Fachao Shi2, Damin Huang1
1Department of Cardiology, Chongming Hospital Affiliated to Shanghai University of Medicine and Health Sciences, Shanghai, China.
Insights
A new predictive model accurately identifies patients with ST-segment elevation myocardial infarction (STEMI) who may develop acute heart failure (AHF) after percutaneous coronary intervention (PCI). This tool aids in early risk stratification and patient management.
Area of Science:
- Cardiology
- Medical Informatics
Background:
- Acute heart failure (AHF) is a significant complication following ST-segment elevation myocardial infarction (STEMI).
- Predicting AHF risk post-percutaneous coronary intervention (PCI) is crucial for timely intervention and improved patient outcomes.
Purpose of the Study:
- To develop and validate a predictive model for AHF occurrence in STEMI patients undergoing PCI.
- To evaluate the clinical performance and potential of this model in risk stratification.
Main Methods:
- Retrospective analysis of 419 STEMI patients treated with PCI.
- Logistic regression used to identify independent risk factors for AHF.
- Model performance assessed using Receiver Operating Characteristic (ROC) curves and statistical validation tests (Omnibus, Hosmer-Lemeshow).
Main Results:
- The developed model incorporates systolic blood pressure, neutrophil count, total bilirubin, urea nitrogen, and left ventricular ejection fraction (LVEF).
- The model demonstrated good fit with 74% sensitivity, 86.8% specificity, and 82.4% diagnostic accuracy.
- The predictive model significantly outperformed existing scores (Grace, CAMI-STEMI) in comparative ROC analysis, showing superior reclassification and discrimination.
Conclusions:
- Systolic blood pressure, total bilirubin, LVEF, neutrophils, and urea nitrogen are key independent predictors of AHF post-PCI in STEMI patients.
- The developed exploratory model shows promise for clinical decision support in assessing AHF risk and guiding patient management.
- External validation in diverse populations is recommended prior to widespread clinical implementation.
Objective:
To establish a predictive model for acute heart failure (AHF) occurrence in patients with ST-segment elevation myocardial infarction (STEMI) following percutaneous coronary intervention (PCI) and evaluate its clinical performance.
Methods:
A retrospective analysis was conducted on 419 STEMI patients treated at the Cardiology Department of Maanshan People's Hospital from January 2018 to December 2024. Patients were divided into AHF group (n = 100) and non-AHF group (n = 319) based on AHF occurrence. Logistic regression analysis identified independent risk factors for model construction. Model performance was assessed using receiver operating characteristic (ROC) curves with optimal threshold determination via maximum Youden index. Statistical validation included Omnibus and Hosmer-Lemeshow tests.
Results:
The AHF prediction model was: Logit(P) = 3.084 - 0.026 × systolic blood pressure + 0.083 × neutrophil count - 0.041 × total bilirubin + 0.238 × urea nitrogen - 0.045 × left ventricular ejection fraction (LVEF). AHF was predicted when logit(P) > 0.231. Statistical validation showed Omnibus test χ 2 = 7.112, P = 0.008, and Hosmer-Lemeshow test χ 2 = 6.551, P = 0.586, indicating good model fit. The model achieved 74% sensitivity, 86.8% specificity, and 82.4% diagnostic accuracy. Comparative ROC analysis demonstrated superior performance vs. established scores: predictive model + Grace Score 0.902 vs. baseline model 0.715 (Delong test: Z = 0.235, P < 0.0001), with continuous net reclassification index (NRI) 0.7472 (P < 0.0001) and integrated discrimination index (IDI) 0.2455 (P < 0.0001); predictive model + CAMI-STEMI Score 0.909 vs. baseline model 0.717 (Delong test: Z = 0.4930, P < 0.0001), with continuous NRI 0.7245 (P < 0.0001) and IDI 0.2101 (P < 0.0001). Clinical decision curve analysis demonstrated net clinical benefit when threshold probability ranged from 0.1 to 0.99.
Conclusion:
Systolic blood pressure, total bilirubin, LVEF, neutrophils, and urea nitrogen are independent factors affecting AHF occurrence after PCI in STEMI patients. This exploratory predictive model demonstrates potential for assessing AHF risk in STEMI patients following PCI and may provide valuable clinical decision support for risk stratification and patient management. However, external validation in independent, multicenter populations is essential before clinical implementation.
More Related Videos
Related Concept Videos
01:30Acute Coronary Syndrome III: Diagnostic Studies
01:30Acute Coronary Syndrome I: Introduction
01:30Heart Failure IV: Classification and Diagnostic Evaluation