ArticleFrontiers in cardiovascular medicine2022
Construction and evaluation of nomogram model for individualized prediction of risk of major adverse cardiovascular events during hospitalization after percutaneous coronary intervention in patients with acute ST-segment elevation myocardial infarction.
Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.
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24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.
- Prognostic value of total bilirubin level for patients suffering from coronary heart disease undergoing percutaneous coronary intervention: a meta-analysis.Frontiers in cardiovascular medicine · 2026Pooled it
- Comparing the Performance of Machine Learning Models and Conventional Risk Scores for Predicting Major Adverse Cardiovascular Cerebrovascular Events After Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Comparative effectiveness and safety of four traditional Chinese medicine injections with invigorating blood circulation, equivalent effect of anticoagulation or antiplatelet in acute myocardial infarction: a Bayesian network meta-analysis.Frontiers in pharmacology · 2024Pooled it
- A nomogram model for predicting intramyocardial hemorrhage post-PCI based on SYNTAX score and clinical features.BMC cardiovascular disorders · 2024Trial
- Development and Validation of NICVD-NQ Score for Predicting Short-Term Outcomes After Primary PCI.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2026Article
- Development and validation of a triglyceride-glucose index-based nomogram for predicting risk in STEMI patients undergoing primary PCI.BMC cardiovascular disorders · 2026Article
- Prognostic Value of HALP and AHEAD Scores for Predicting 1-Month Heart Failure Following Myocardial Infarction.Journal of clinical medicine · 2026Article
- Development and internal validation of a scoring model for early identification of ventricular arrhythmia risk in children with acute myocarditis.Journal of cardiothoracic surgery · 2026Article
- Development, validation and visualization of a nomogram for the prediction of in-hospital cardiac arrest in patients after successful primary PCI for STEMI.BMC cardiovascular disorders · 2026Article
- Elevated angiography-derived microvascular resistance and HbA1c levels jointly predict adverse outcomes in patients with diabetic STEMI: a multicenter retrospective cohort study.Frontiers in endocrinology · 2026Observational
- A prognostic tool for pulmonary collapse: nomogram-based prediction of 28-day mortality.Frontiers in big data · 2026Article
- Association of skeletal muscle index and intermuscular adipose tissue index measured by non-contrast chest CT with major adverse cardiovascular events in patients with coronary artery disease: a nested case-control study in a Chinese population.Frontiers in cardiovascular medicine · 2026Article
- Establishment and validation of a risk prediction model for malignant ventricular arrhythmia in acute myocardial infarction patients based on 24-hour dynamic electrocardiogram parameters.American journal of translational research · 2026Article
- Development and validation of a risk prediction model for myocardial hypoperfusion after primary PCI in ST-segment elevation myocardial infarction.Frontiers in cardiovascular medicine · 2026Article
- Construction and validation of risk prediction models for new- onset conduction block complications after transcatheter aortic valve replacement.BMC cardiovascular disorders · 2025Article
- Predicting cardiovascular outcomes in elderly patients with acute coronary syndrome: a nomogram approach.Research square · 2025Article
- Physiological-immune resilience risk assessment model for predicting adverse cardiac outcomes in patients with acute myocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Predictive nomogram for risk of pulmonary infection in lung cancer patients undergoing radiochemotherapy: development and performance evaluation.American journal of cancer research · 2025Article
- Construction and validation of a personalized risk prediction model for in-hospital mortality in patients with acute myocardial infarction undergoing percutaneous coronary intervention.Clinics (Sao Paulo, Brazil) · 2025Article
- Predictive value of triglyceride glucose index combined with neutrophil-to-lymphocyte ratio for major adverse cardiac events after PCI for acute ST-segment elevation myocardial infarction.Scientific reports · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Emergency percutaneous coronary intervention (PCI) in patients with acute ST-segment elevation myocardial infarction (STEMI) helps to reduce the occurrence of major adverse cardiovascular events (MACEs) such as death, cardiogenic shock, and malignant arrhythmia, but in-hospital MACEs may still occur after emergency PCI, and their mortality is significantly increased once they occur. The aim of this study was to investigate the risk factors associated with MACE during hospitalization after PCI in STEMI patients, construct a nomogram prediction model and evaluate its effectiveness. Methods: A retrospective analysis of 466 STEMI patients admitted to our hospital from January 2018 to June 2022. According to the occurrence of MACE during hospitalization, they were divided into MACE group ( Results: The results of LASSO regression showed that systolic blood pressure, diastolic blood pressure, Killip grade II-IV, urea nitrogen and left ventricular ejection fraction (LVEF), IABP, NT-ProBNP were important predictors with non-zero coefficients, and multivariate logistic regression analysis was performed to analyze that Killip grade II-IV, urea nitrogen, LVEF, and NT-ProBNP were independent factors for in-hospital MACE after PCI in STEMI patients; a nomogram model for predicting the risk of in-hospital MACE after PCI in STEMI patients was constructed with the above independent predictors, with a C-index of 0.826 (95% CI: 0.785-0.868) having a good predictive power; the results of H-L goodness of fit test showed χ Conclusion: Urea nitrogen, Killip class II-IV, LVEF, and NT-ProBNP are independent factors for in-hospital MACE after PCI in STEMI patients, and nomogram models constructed based on the above factors have high predictive efficacy and feasibility.
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