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
2021
Biobank Scale Pharmacogenomics Informs the Genetic Underpinnings of Simvastatin Use
Wendt FR, Koller D, Pathak GA, Jacoby D, Miller EJ, Polimanti R. Biobank Scale Pharmacogenomics Informs the Genetic Underpinnings of Simvastatin Use. Clinical Pharmacology & Therapeutics 2021, 110: 777-785. PMID: 33837531, PMCID: PMC8376807, DOI: 10.1002/cpt.2260.Peer-Reviewed Original ResearchConceptsLDL-C concentrationsSimvastatin useLow-density lipoprotein cholesterol concentrationsLipoprotein cholesterol concentrationsDrug-metabolizing enzymesElectronic medical recordsStatin therapyStatin treatmentActivity scoreMedical recordsPilot cohortCholesterol concentrationsEuropean ancestry participantsMetabolizer phenotypeClinical decisionNAT2 allelesPolygenic riskNAT2Good responseUK BiobankBiological mechanismsPharmacogenesAssociationPotential benefitsPhenotype