2020
Presentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study
Gupta A, Tsang S, Hajduk A, Krumholz HM, Nanna MG, Green P, Dodson JA, Chaudhry SI. Presentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study. The American Journal Of Medicine 2020, 134: 95-103. PMID: 32805225, PMCID: PMC7752813, DOI: 10.1016/j.amjmed.2020.07.020.Peer-Reviewed Original ResearchConceptsOldest-old patientsMyocardial infarctionFunctional impairmentOlder patientsMobility impairmentsCox proportional hazards regressionMiddle-old patientsProportional hazards regressionAcute myocardial infarctionCase fatality rateAcute myocardial infarction hospitalizationsSILVER-AMI StudyYears of ageMyocardial infarction hospitalizationsChest painCoronary revascularizationAtypical presentationHazards regressionClinical variablesRisk factorsAdvanced agePrimary symptomsPatientsFatality rateHealth status
2019
Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study.
Dodson JA, Hajduk AM, Geda M, Krumholz HM, Murphy TE, Tsang S, Tinetti ME, Nanna MG, McNamara R, Gill TM, Chaudhry SI. Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study. Annals Of Internal Medicine 2019, 172: 12-21. PMID: 31816630, PMCID: PMC7695040, DOI: 10.7326/m19-0974.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-AMI mortalityFunctional impairmentOlder adultsCohort studyMean ageMyocardial infarctionPatient-reported health statusNet reclassification improvement indexProspective cohort studyParticipants' mean ageFinal risk modelMobility impairmentsGood discriminatory abilityRisk modelChart reviewHospital dischargePrognostic utilityBlood InstituteClinical variablesNational HeartHigh prevalenceHealth statusMortalityYounger counterpartsComparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention
Mortazavi BJ, Bucholz EM, Desai NR, Huang C, Curtis JP, Masoudi FA, Shaw RE, Negahban SN, Krumholz HM. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e196835. PMID: 31290991, PMCID: PMC6624806, DOI: 10.1001/jamanetworkopen.2019.6835.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionMajor bleedingC-statisticCoronary interventionMAIN OUTCOMEIndex percutaneous coronary interventionSubsequent coronary artery bypassPercutaneous coronary intervention (PCI) proceduresHospital major bleedingMajor bleeding ratesNationwide clinical registryCoronary artery bypassCoronary intervention proceduresComparative effectiveness studiesRisk score modelComplexity of presentationMean c-statisticCoronary angiography dataRegistry modelNCDR modelsArtery bypassBleeding eventsPrediction of riskClinical variablesBleeding rate
2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresAn Administrative Claims Measure of Payments Made for Medicare Patients for a 30-Day Episode of Care for Acute Myocardial Infarction
Kim N, Bernheim SM, Ott LS, Han L, Spivack SB, Xu X, Volpe M, Liu A, Krumholz HM. An Administrative Claims Measure of Payments Made for Medicare Patients for a 30-Day Episode of Care for Acute Myocardial Infarction. Medical Care 2015, 53: 542-549. PMID: 25970575, DOI: 10.1097/mlr.0000000000000361.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionICD-9 codes 410Administrative Claims MeasurePatients 65 yearsDate of admissionClaims-based measuresIntraclass correlation coefficient scoreIntraclass correlation coefficientValue of careHigh-value careClinical variablesDischarge diagnosisMedicare patientsMedicare claimsClinical careAMI episodeAMI hospitalizationCare costsCode 410HospitalizationMedicaid ServicesHospitalClaims measuresCare
2013
HbA1c and Risk of Severe Hypoglycemia in Type 2 Diabetes
Lipska KJ, Warton EM, Huang ES, Moffet HH, Inzucchi SE, Krumholz HM, Karter AJ. HbA1c and Risk of Severe Hypoglycemia in Type 2 Diabetes. Diabetes Care 2013, 36: 3535-3542. PMID: 23900589, PMCID: PMC3816866, DOI: 10.2337/dc13-0610.Peer-Reviewed Original ResearchConceptsSevere hypoglycemiaType 2 diabetesRelative riskGlycemic controlSelf-reported severe hypoglycemiaType 2 diabetic patientsGlucose-lowering therapyPoor glycemic controlRate of hypoglycemiaPotential effect modifiersIntegrated healthcare systemYears of ageEligible survey respondentsPoisson regression modelsDiabetes durationDiabetes medicationsDiabetic patientsClinical variablesDiabetes StudyNormal glycemiaMain exposureEffect modifiersHypoglycemiaType 2Patients
2009
Increased Mortality among Survivors of Myocardial Infarction with Kidney Dysfunction: the Contribution of Gaps in the use of Guideline-Based Therapies
Peterson PN, Ambardekar AV, Jones PG, Krumholz HM, Schelbert E, Spertus JA, Rumsfeld JS, Masoudi FA. Increased Mortality among Survivors of Myocardial Infarction with Kidney Dysfunction: the Contribution of Gaps in the use of Guideline-Based Therapies. BMC Cardiovascular Disorders 2009, 9: 29. PMID: 19586550, PMCID: PMC2716301, DOI: 10.1186/1471-2261-9-29.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateKidney DiseasesMaleMiddle AgedMyocardial InfarctionPractice Guidelines as TopicProportional Hazards ModelsProspective StudiesRegistriesRisk AssessmentSeverity of Illness IndexSurvivorsTime FactorsTreatment OutcomeUnited StatesConceptsGlomerular filtration rateAcute myocardial infarctionGuideline-based medical therapyGuideline-based therapyMedical therapyKidney dysfunctionMyocardial infarctionUse of guidelinesEligible patientsRenal dysfunctionHazard ratioCox regressionPathophysiological abnormalitiesClinical variablesKidney diseaseFiltration rateNovel therapiesUS CentersHigh mortalityPatientsTherapyFurther adjustmentMortalityDysfunctionTreatment factors
2002
Sex-Based Differences in the Effect of Digoxin for the Treatment of Heart Failure
Rathore SS, Wang Y, Krumholz HM. Sex-Based Differences in the Effect of Digoxin for the Treatment of Heart Failure. New England Journal Of Medicine 2002, 347: 1403-1411. PMID: 12409542, DOI: 10.1056/nejmoa021266.Peer-Reviewed Original ResearchConceptsEffect of digoxinDepressed left ventricular systolic functionLeft ventricular systolic functionVentricular systolic functionSex-based differencesRate of deathDigoxin therapyHeart failureSystolic functionMultivariable Cox proportional hazards modelsDigitalis Investigation Group (DIG) studyDigitalis Investigation Group trialCox proportional hazards modelHeart failure variesPrimary end pointRisk of deathProportional hazards modelMantel-Haenszel testOverall mortalityTherapy differsEpidemiologic featuresMultivariable analysisClinical variablesSubgroup analysisGroup trials
1998
National Use and Effectiveness of β-Blockers for the Treatment of Elderly Patients After Acute Myocardial Infarction: National Cooperative Cardiovascular Project
Krumholz HM, Radford MJ, Wang Y, Chen J, Heiat A, Marciniak TA. National Use and Effectiveness of β-Blockers for the Treatment of Elderly Patients After Acute Myocardial Infarction: National Cooperative Cardiovascular Project. JAMA 1998, 280: 623-629. PMID: 9718054, DOI: 10.1001/jama.280.7.623.Peer-Reviewed Original ResearchConceptsBeta-blocker therapyAcute myocardial infarctionDischarge medicationsElderly patientsMyocardial infarctionPrescribed useNational Cooperative Cardiovascular ProjectBeta-blocker prescriptionRetrospective cohort studyVentricular ejection fractionLow-risk populationCalcium channel blockersCooperative Cardiovascular ProjectFamily practice physiciansBetter survival rateEligible patientsCohort studyHospital dischargeOlder patientsSecondary preventionEjection fractionMedical chartsTreatment patternsClinical variablesPotential confounders