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Utilizing Percutaneous Ventricular Assist Devices in Acute Myocardial Infarction Complicated by Cardiogenic Shock
Published on: June 12, 2021
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Prediction of Cardiogenic Shock in Acute Myocardial Infarction Patients Using a Nomogram.
Jie Wang1, Changying Zhao2, Chuqing Yang3
1Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an 710061, China.
Journal of Clinical Medicine
|December 30, 2025
Summary
This study identified seven key risk factors for cardiogenic shock in acute myocardial infarction patients upon admission. A new predictive model can help doctors identify high-risk individuals early for better treatment outcomes.
Area of Science:
- Cardiology
- Medical Informatics
- Clinical Prediction Models
Background:
- Cardiogenic shock (CS) following acute myocardial infarction (AMI) carries a high mortality rate.
- Early identification of patients at risk for in-hospital CS is critical for timely intervention.
- This study focuses on developing a predictive model using admission data.
Purpose of the Study:
- To develop and validate a risk prediction model for in-hospital cardiogenic shock in patients with acute myocardial infarction.
- To identify independent risk factors for cardiogenic shock upon hospital admission.
- To create a nomogram for clinical decision-making.
Main Methods:
- Retrospective case-control study design.
- Propensity score matching (1:1) based on age, gender, and ST-elevation myocardial infarction diagnosis.
- Utilized relaxed least absolute shrinkage and selection operator and multivariate logistic regression to identify independent risk factors.
Main Results:
- Seven independent risk factors for CS in AMI patients were identified: systolic blood pressure, diastolic blood pressure, triglycerides, creatinine, globulin, left ventricular ejection fraction, and coronary angiography.
- The developed nomogram showed strong discriminatory ability with an area under the curve of 0.937.
- The model demonstrated good calibration and decision curve analysis results.
Conclusions:
- Seven independent risk factors for cardiogenic shock in acute myocardial infarction patients were identified at admission.
- The developed nomogram can aid in early risk stratification of AMI patients.
- This tool may improve clinical decision-making and patient outcomes.
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