2024
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Oikonomou E, Aminorroaya A, Dhingra L, Partridge C, Velazquez E, Desai N, Krumholz H, Miller E, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. European Heart Journal - Digital Health 2024, 5: 303-313. PMID: 38774380, PMCID: PMC11104476, DOI: 10.1093/ehjdh/ztae023.Peer-Reviewed Original ResearchRisk of acute myocardial infarctionAssociated with lower oddsHospital health systemCoronary artery diseaseCardiac testingRisk of adverse outcomesUK BiobankHealth systemProvider-drivenLower oddsAssociated with better outcomesAcute myocardial infarctionBlack raceStable chest painFemale sexReal world evaluationDiabetes historyMulticohort studyFunction testsSuspected coronary artery diseaseYounger ageRisk profileAdverse outcomesMultinational cohortPost hoc analysis
2019
The Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis
Papanastasiou CA, Kokkinidis DG, Kampaktsis PN, Bikakis I, Cunha DK, Oikonomou EK, Greenwood JP, Garcia MJ, Karamitsos TD. The Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis. JACC Cardiovascular Imaging 2019, 13: 385-392. PMID: 31326491, DOI: 10.1016/j.jcmg.2019.03.029.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementAortic stenosisCardiac magnetic resonanceCause mortalityGadolinium enhancementLGE-CMRSystematic reviewA Systematic ReviewStrongest univariate predictorsRandom-effects modelBaseline characteristicsHazard ratioPrognostic roleRisk stratificationAdverse outcomesPrognostic valueUnivariate predictorsPooled analysisMyocardial fibrosisInclusion criteriaCardiac diseaseRegional fibrosisPatientsElectronic databasesMeta-Analysis