ArticleFrontiers in cardiovascular medicine2022
Novel Analysis of Coronary Angiography in Predicting the Formation of Ventricular Aneurysm in Patients With Acute Myocardial Infarction After Percutaneous Coronary Intervention.
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 6 papers.
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6 citing papers in PubMed, 8 citations in OpenAlex.
- Platelet-to-albumin ratio is an independent predictor for ventricular aneurysm formation in ST segment elevation myocardial infarction.Coronary artery disease · 2025Article
- Association between the fibrosis-4 and the risk of left ventricular aneurysm formation in acute ST-segment elevation myocardial infarction.Frontiers in cardiovascular medicine · 2025Article
- Clinical characteristics and prognostic importance of anticoagulant use in ischemic left ventricular aneurysm: a retrospective cohort study.Nature communications · 2024Article
- Exploratory analysis of predictors of ventricular aneurysm in a cohort of 291 patients with acute myocardial infarction.BMC cardiovascular disorders · 2024Article
- [Resting heart rate correlates with major adverse cardiovascular and cerebrovascular events in patients with post-myocardial infarction ventricular aneurysms: a retrospective cohort study].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2023Article
- The ratio of QRS/RVFrontiers in cardiovascular medicine · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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Abstract
Background: Ventricular aneurysm (VA) is a serious complication of acute myocardial infarction (AMI), with a very poor prognosis. Early-stage prophylactic treatment is effective in preventing the formation of VAs. However, the existing predictive models for VA formation lack the sensitivity and specificity necessary for evaluating patients with MI. This study aimed to explore the potential use of coronary angiography and establish a more precise prediction model for VA in patients with MI. Methods: Patients with VA ( Results: Binary analysis revealed maximum serum cardiac troponin I level (odds ratio [OR] = 1.046, 95% confidence interval [CI] = 1.027-1.066, Conclusion: Our study first used quantified information of coronary lesions to establish a predictive model and proved that a longer DLD had the greatest potential in predicting the incidence of VA. Its related parameters including DLO and DLO/DLD ratio were also correlated with the incidence of VA. These findings may provide a new reference for the early identification of high-risk MI patients and preventing VA.
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