ArticleChonnam medical journal2019
Predictors of In-Hospital Mortality in Korean Patients with Acute Myocardial Infarction.
Article in Chonnam medical journal, 2019. 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.
- Clinical Profile and Outcomes of Patients with Chronic Kidney Disease on Chronic Hemodialysis Hospitalized for Acute Coronary Syndrome in a Tertiary Public Hospital in the Philippines.Acta medica Philippina · 2026Article
- Mortality predictors in acute myocardial infarction: results from a single-center study in Saudi Arabia.Journal of medicine and life · 2024Article
- Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study.JMIR formative research · 2024Article
- Predictors on outcomes of cardiovascular disease of male patients in Malaysia using Bayesian network analysis.BMJ open · 2023Article
- Article
- Ginsenoside Rd Promotes Cardiac Repair After Myocardial Infarction by Modulating Monocytes/Macrophages Subsets Conversion.Drug design, development and therapy · 2022Article
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Authors and funding
8 authors.
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Abstract
Acute myocardial infarction (AMI) is a fatal cardiovascular disease, and mortality is relatively high; therefore, integrated assessment is necessary for its management. There are several risk predictive models, but treatment trends have changed due to newly introduced medications and the universal use of percutaneous coronary intervention (PCI). The author aimed to find out predictive factors of in-hospital mortality in Korean patients with AMI. A group of 13,104 patients with AMI enrolled in the Korea Acute Myocardial Infarction Registry-National Institute of Health (KAMIR-NIH) registry were divided into two groups. One was a derivation group for evaluating mortality prediction; the other was a validation group for the application of risk prediction. In-hospital mortality was 4.2% (n=552). With hierarchical and stepwise multivariate analyses, nine factors were shown to predict in-hospital mortality for Korean patients with AMI. These were 1) being over 65 years of age, 2) high Killip class over II, 3) hyperglycemia over 180 mg/dl, 4) tachycardia over 100/min, 5) serum creatinine over 1.5 mg/dl, 6) atypical chest pain, 7) low systolic blood pressure under 90 mmHg, 8) low Thrombolysis In Myocardial Infarction (TIMI) flow (TIMI 0-II) before PCI and 9) low TIMI flow (TIMI 0-II) after PCI. The validation group showed a predictive power of 88.3%. Old age, high Killip class, hyperglycemia, tachycardia, renal dysfunction, atypical chest pain, low systolic blood pressure, and low TIMI flow are important risk factors of in-hospital mortality in Korean patients with AMI.
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