2019
Submissions from the SPRINT Data Analysis Challenge on clinical risk prediction: a cross-sectional evaluation
Jackevicius CA, An J, Ko DT, Ross JS, Angraal S, Wallach JD, Koh M, Song J, Krumholz HM. Submissions from the SPRINT Data Analysis Challenge on clinical risk prediction: a cross-sectional evaluation. BMJ Open 2019, 9: e025936. PMID: 30904868, PMCID: PMC6475140, DOI: 10.1136/bmjopen-2018-025936.Peer-Reviewed Original ResearchConceptsRisk prediction toolsCross-sectional evaluationClinical risk predictionClinical performanceCardiovascular disease historyClinical risk scoreHigh-risk patientsLow-risk patientsClinical prediction toolRisk predictionEfficacy outcomesC-statisticDisease historyInclusion criteriaIndependent reviewersRisk scoreExternal validationPatientsPrediction toolsEfficacyOutcomesSame outcome
2016
Editor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis
Bucholz EM, Strait KM, Dreyer RP, Lindau ST, D’Onofrio G, Geda M, Spatz ES, Beltrame JF, Lichtman JH, Lorenze NP, Bueno H, Krumholz HM. Editor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis. European Heart Journal Acute Cardiovascular Care 2016, 6: 610-622. PMID: 27485141, PMCID: PMC5459677, DOI: 10.1177/2048872616661847.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionYoung womenTime of AMIST-segment elevation myocardial infarctionHigh clinical risk scoreSegment elevation myocardial infarctionChronic obstructive pulmonary diseaseYoung AMI patientsCardiovascular risk factorsClinical risk scorePre-hospital delayProspective cohort studyCongestive heart failureElevation myocardial infarctionObstructive pulmonary diseaseHigh-risk populationYoung menMental health statusElectrocardiogram findingsMorbid obesityCardiovascular riskCohort studyRenal failureYounger patients