ArticleArchives of medical science : AMS2020
Liver parameters as part of a non-invasive model for prediction of all-cause mortality after myocardial infarction.
Article in Archives of medical science : AMS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- The predictive value of machine learning for mortality risk in patients with acute coronary syndromes: a systematic review and meta-analysis.European journal of medical research · 2023Pooled it
- Gut microbiota combined with metabolites reveals unique features of acute myocardial infarction patients different from stable coronary artery disease.Journal of advanced research · 2023Article
- A nomogramic model for predicting the left ventricular ejection fraction of STEMI patients after thrombolysis-transfer PCI.Frontiers in cardiovascular medicine · 2023Article
- From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction.International journal of molecular sciences · 2022Review
- Predictive value of elevated alanine aminotransferase for in-hospital mortality in patients with acute myocardial infarction.BMC cardiovascular disorders · 2021Article
- Levels of Blood Biomarkers among Patients with Myocardial Infarction in Comparison to Control Group.Ethiopian journal of health sciences · 2020Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLiver parameters are associated with cardiovascular disease risk and severity of stenosis. It is unclear whether liver parameters could predict the long-term outcome of patients after acute myocardial infarction (AMI). We performed an unbiased analysis of the predictive value of serum parameters for long-term prognosis after AMI. MATERIAL AND
methodsIn a retrospective, observational, single-center, cohort study, 569 patients after AMI were enrolled and followed up until 6 years for major adverse cardiovascular events, including cardiac death. Patients were classified into non-survivors (
resultsAge (73; 64;
conclusionsNon-invasive parameters, including liver and renal markers, can predict long-term outcome of patients after AMI.
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Registered trials
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