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
2024
A novel digital twin strategy to enable the translation of evidence from randomized control trials to new populations
Thangaraj P, Shankar S, Oikonomou E, Khera R. A novel digital twin strategy to enable the translation of evidence from randomized control trials to new populations. European Heart Journal 2024, 45: ehae666.3502. DOI: 10.1093/eurheartj/ehae666.3502.Peer-Reviewed Original ResearchRandomized clinical trialsPatient populationTranslation of evidenceEffect sizeNon-significant effect sizeRandomized controlled trialsCardiovascular event-free survivalSignificant effect sizeIntensive blood pressure controlEvent-free survivalSPRINT participantsSprintACCORD participantsBlood pressure controlReal-world settingsEffect estimatesControlled trialsMeasured covariatesMedical practiceTreatment effect estimatesCovariate distributionsOriginal trialsACCORD trialCardiovascular eventsClinical trials