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
1999
Performance of the '100 top hospitals': what does the report card report?
Chen J, Radford MJ, Wang Y, Marciniak TA, Krumholz HM. Performance of the '100 top hospitals': what does the report card report? Health Affairs 1999, 18: 53-68. PMID: 10425843, DOI: 10.1377/hlthaff.18.4.53.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionElderly AMI patientsThirty-day mortalityUse of aspirinLower readmission ratesHospital peer groupsTop hospitalsReadmission ratesAMI patientsSuperior clinical performanceHospital studyMyocardial infarctionHospital costsMedicare patientsBetter outcomesHospitalBetter carePatientsClinical performanceLower lengthReperfusionInfarctionAspirinStayMortality