2024
Kidney Outcomes with Glucagon-Like Peptide-1 Receptor Agonists, Sodium-Glucose Cotransporter 2 Inhibitors, Dipeptidyl Peptidase-4 Inhibitors, and Sulfonylureas in Type 2 Diabetes and Moderate Cardiovascular Risk
Neumiller J, Herrin J, Swarna K, Polley E, Galindo R, Umpierrez G, Deng Y, Ross J, Mickelson M, McCoy R. Kidney Outcomes with Glucagon-Like Peptide-1 Receptor Agonists, Sodium-Glucose Cotransporter 2 Inhibitors, Dipeptidyl Peptidase-4 Inhibitors, and Sulfonylureas in Type 2 Diabetes and Moderate Cardiovascular Risk. Clinical Journal Of The American Society Of Nephrology 2024 DOI: 10.2215/cjn.0000000587.Peer-Reviewed Original ResearchSodium-glucose co-transporter 2 inhibitorsGlucagon-like peptide-1 receptor agonistsSodium-glucose co-transporter 2Dipeptidyl peptidase-4 inhibitorsGlucagon-like peptide-1Dipeptidyl peptidase-4Receptor agonistsPrimary composite outcomeKidney replacement therapyChronic kidney diseaseComposite outcomeSecondary composite outcomeType 2 diabetesGLP-1 receptor agonist therapyCVD riskCardiovascular diseaseModerate CVD riskPrescribed glucose-lowering agentsBaseline CVD riskHigh-risk patientsAssociated with risk reductionCKD stage 3Retrospective observational studyGlucose-lowering agentsModerate cardiovascular risk
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
2009
Determinants of Cardiac Catheterization Use in Older Medicare Patients With Acute Myocardial Infarction
Ko DT, Ross JS, Wang Y, Krumholz HM. Determinants of Cardiac Catheterization Use in Older Medicare Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2009, 3: 54-62. PMID: 20123672, PMCID: PMC3024143, DOI: 10.1161/circoutcomes.109.858456.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionComorbidityFemaleHemorrhageHospitalizationHumansLikelihood FunctionsLogistic ModelsMaleMedicareMyocardial InfarctionPatient SelectionPractice Patterns, Physicians'Risk AssessmentRisk FactorsSeverity of Illness IndexSex FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionCardiac catheterization useCardiac catheterizationInappropriate indicationsAMI patientsAppropriate indicationsMyocardial infarctionRisk scoreCardiology/American Heart Association class IBaseline cardiovascular riskOlder Medicare patientsHigh-risk patientsDemographic factorsMore comorbiditiesCardiovascular riskOlder patientsMale sexProcedure indicationFemale sexMedicare patientsAmerican CollegeAMI admissionsMedicare feePatientsCatheterization
2008
Regional Variation in Cardiac Catheterization Appropriateness and Baseline Risk After Acute Myocardial Infarction
Ko DT, Wang Y, Alter DA, Curtis JP, Rathore SS, Stukel TA, Masoudi FA, Ross JS, Foody JM, Krumholz HM. Regional Variation in Cardiac Catheterization Appropriateness and Baseline Risk After Acute Myocardial Infarction. Journal Of The American College Of Cardiology 2008, 51: 716-723. PMID: 18279735, DOI: 10.1016/j.jacc.2007.10.039.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCardiac catheterization useBaseline riskCardiac catheterizationMyocardial infarctionCardiology/American Heart Association classificationRisk-standardized mortality ratesAmerican Heart Association classificationCardiac catheterization ratesGRACE risk scoreHigh-risk patientsClass I patientsClass III patientsClass II patientsPatient appropriatenessCatheterization ratesHospital admissionI patientsPrimary outcomeAMI patientsII patientsIII patientsAppropriate indicationsInvasive strategyPhysician characteristics