Featured Publications
Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials
Oikonomou EK, Spatz ES, Suchard MA, Khera R. Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials. The Lancet Digital Health 2022, 4: e796-e805. PMID: 36307193, PMCID: PMC9768739, DOI: 10.1016/s2589-7500(22)00170-4.Peer-Reviewed Original ResearchConceptsSystolic blood pressure controlBlood pressure controlIntensive systolic blood pressure controlType 2 diabetesPressure controlCardiovascular benefitsClinical trialsMajor adverse cardiovascular eventsFirst major adverse cardiovascular eventLarge randomised clinical trialsACCORD-BP trialAdverse cardiovascular eventsRandomised clinical trialsSystolic blood pressureCox regression analysisTreatment effectsHazard ratio estimatesACCORD-BPBP trialCardiovascular eventsBlood pressurePrimary outcomeStandard treatmentBaseline variablesIndex patients
2023
A MACHINE LEARNING-GUIDED APPROACH FOR ADAPTIVE TRIAL ENRICHMENT AND ACCELERATION OF CARDIOVASCULAR OUTCOME TRIALS: INSIGHTS FROM THE SPRINT AND ACCORD-BP TRIALS
Oikonomou E, Spatz E, Ross J, Suchard M, Krumholz H, Khera R. A MACHINE LEARNING-GUIDED APPROACH FOR ADAPTIVE TRIAL ENRICHMENT AND ACCELERATION OF CARDIOVASCULAR OUTCOME TRIALS: INSIGHTS FROM THE SPRINT AND ACCORD-BP TRIALS. Journal Of The American College Of Cardiology 2023, 81: 2314. DOI: 10.1016/s0735-1097(23)02758-4.Peer-Reviewed Original ResearchACCORD-BP trialTrial enrichment