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
2023
Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis
Feher A, Miller E, Peters D, Mojibian H, Sinusas A, Hinchcliff M, Baldassarre L. Impaired left-ventricular global longitudinal strain by feature-tracking cardiac MRI predicts mortality in systemic sclerosis. Rheumatology International 2023, 43: 849-858. PMID: 36894756, DOI: 10.1007/s00296-023-05294-6.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementLV-GLSSystemic sclerosisWorse survivalClinical indicationsImpaired left ventricular global longitudinal strainLeft ventricular global longitudinal strainPresence of LGECMR strainLV cardiac indexWorse LV-GLSLV ejection fractionCox regression analysisGlobal longitudinal strainLV cardiac outputGlobal radialCardiac indexOverall survivalRetrospective cohortEjection fractionPrognostic valueAdverse outcomesCardiac outputGadolinium enhancementRV strain