2024
Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators
Rosman L, Lampert R, Wang K, Gehi A, Dziura J, Salmoirago-Blotcher E, Brandt C, Sears S, Burg M. Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators. Journal Of The American College Of Cardiology 2024 PMID: 39570241, DOI: 10.1016/j.jacc.2024.09.006.Peer-Reviewed Original ResearchImplantable cardioverter-defibrillatorYear of device implantationAll-cause mortalityCardiac resynchronization therapyDeath/HF hospitalizationValidation cohortHeart failureDevice implantationTime of ICD implantationArea under the receiver-operating characteristic curveMedian follow-upReceiver-operating characteristic curvePredicting all-cause mortalityImplantable cardioverter-defibrillator patientsVeterans Health AdministrationPersonalized risk estimatesImplantable cardioverter defibrillatorResynchronization therapyBaseline demographicsICD implantationTraining cohortTrajectories of individual patientsProspective studyComposite outcomeContinuum of risk
2022
Association of renalase with clinical outcomes in hospitalized patients with COVID-19
Safdar B, Wang M, Guo X, Cha C, Chun HJ, Deng Y, Dziura J, El-Khoury JM, Gorelick F, Ko AI, Lee AI, Safirstein R, Simonov M, Zhou B, Desir GV. Association of renalase with clinical outcomes in hospitalized patients with COVID-19. PLOS ONE 2022, 17: e0264178. PMID: 35259186, PMCID: PMC8903289, DOI: 10.1371/journal.pone.0264178.Peer-Reviewed Original ResearchConceptsCOVID-19 patientsRenalase levelsIntensive care unit admissionHospitalized COVID-19 patientsMean age 64 yearsCOVID-19Cox proportional hazards modelCare unit admissionPrimary composite outcomeRetrospective cohort studyUse of vasopressorsSevere COVID-19IL-6 levelsAge 64 yearsRisk of deathCOVID-19 subjectsInitial disease severityProportional hazards modelCOVID-19 diseasePlasma renalaseUnit admissionICU admissionCohort studyComposite outcomeCytokine levels