2025
Coronary Artery Disease–Based Polygenic Risk Score in Early-Onset Acute Myocardial Infarction Subtypes
Dong W, Lu Y, Li S, Sawano M, Caraballo C, Liu Y, Khera A, Philippakis A, Dreyer R, Lichtman J, D'Onofrio G, Spatz E, Herrington D, Post W, Rich S, Rotter J, Krumholz H. Coronary Artery Disease–Based Polygenic Risk Score in Early-Onset Acute Myocardial Infarction Subtypes. JACC Advances 2025, 4: 101994. PMID: 40712269, PMCID: PMC12311502, DOI: 10.1016/j.jacadv.2025.101994.Peer-Reviewed Original ResearchAcute myocardial infarction subtypePolygenic risk scoresAcute myocardial infarctionRisk of acute myocardial infarctionRisk scoreCoronary artery diseaseAssociated with acute myocardial infarctionEstimated riskAssociated with higher riskAssociated with MIAcute myocardial infarction patientsMultinomial logistic regressionArtery diseaseNonobstructive coronary artery diseaseLogistic regressionFemale-to-male ratioYoung adultsCox regressionHigh riskInfarction subtypesYoung individualsMyocardial infarctionEarly-onsetScoresSexJoint Exposure to Ozone and Temperature and Acute Myocardial Infarction Among Adults Aged 18 to 64 Years in the United States
Chu L, Wang R, Gross C, Wei J, Lu Y, Krumholz H, Ma X, Chen K. Joint Exposure to Ozone and Temperature and Acute Myocardial Infarction Among Adults Aged 18 to 64 Years in the United States. Circulation 2025, 152: 246-256. PMID: 40458867, PMCID: PMC12303734, DOI: 10.1161/circulationaha.124.073614.Peer-Reviewed Original ResearchIncident acute myocardial infarctionAcute myocardial infarctionIncreased oddsRisk of acute myocardial infarctionHigher risk of acute myocardial infarctionProbability of acute myocardial infarctionOccurrence of acute myocardial infarctionRandom-effects meta-analysisCase-crossover studyMultivariate random-effects meta-analysisExposure to ozoneRegion-specific estimatesMyocardial infarctionStatistical interaction termsAmbient ozone pollutionPrevention strategiesUnited StatesJoint exposureMeta-analysisAdult ageYoung adultsHigh riskAdultsOddsInteraction terms
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
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