2022
Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults
Lu Y, Li SX, Liu Y, Rodriguez F, Watson KE, Dreyer RP, Khera R, Murugiah K, D’Onofrio G, Spatz ES, Nasir K, Masoudi FA, Krumholz HM. Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults. JAMA Network Open 2022, 5: e229953. PMID: 35503221, PMCID: PMC9066284, DOI: 10.1001/jamanetworkopen.2022.9953.Peer-Reviewed Original ResearchMeSH KeywordsCase-Control StudiesDiabetes MellitusFemaleHumansHypercholesterolemiaHypertensionMaleMyocardial InfarctionNutrition SurveysRisk FactorsYoung AdultConceptsFirst acute myocardial infarctionAcute myocardial infarctionPsychosocial risk factorsRisk factor profilePopulation attributable fractionRisk factor associationsRisk factorsOdds ratioYoung womenAMI subtypesMyocardial infarctionPrevention of AMIType 1 acute myocardial infarctionFactor profileRisk of AMITraditional cardiovascular risk factorsSex-specific risk factorsFactor associationsYoung adultsRisk factor modificationCardiovascular risk factorsStrong associationNutrition Examination SurveyCase-control studyPopulation-based controlsStudy protocol for the Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE): A longitudinal study of the medium and long-term sequelae of SARS-CoV-2 infection
O’Laughlin K, Thompson M, Hota B, Gottlieb M, Plumb ID, Chang AM, Wisk LE, Hall AJ, Wang RC, Spatz ES, Stephens KA, Huebinger RM, McDonald SA, Venkatesh A, Gentile N, Slovis BH, Hill M, Saydah S, Idris AH, Rodriguez R, Krumholz HM, Elmore JG, Weinstein RA, Nichol G, . Study protocol for the Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE): A longitudinal study of the medium and long-term sequelae of SARS-CoV-2 infection. PLOS ONE 2022, 17: e0264260. PMID: 35239680, PMCID: PMC8893622, DOI: 10.1371/journal.pone.0264260.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionLong-term sequelaePatient-reported outcomesRelative riskAcute SARS-CoV-2 infectionSARS-CoV-2 negative participantsHealth system encountersPredictors of sequelaeHealth recordsInstitutional review board approvalLongitudinal studyDigital health recordsReview board approvalSARS-CoV-2Secure online platformClinical outcomesStudy protocolNegative participantsViral testsSimilar symptomatologyNew diagnosisBoard approvalSequelaeSelf-administered surveyInfection
2020
Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention
You SC, Rho Y, Bikdeli B, Kim J, Siapos A, Weaver J, Londhe A, Cho J, Park J, Schuemie M, Suchard MA, Madigan D, Hripcsak G, Gupta A, Reich CG, Ryan PB, Park RW, Krumholz HM. Association of Ticagrelor vs Clopidogrel With Net Adverse Clinical Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention. JAMA 2020, 324: 1640-1650. PMID: 33107944, PMCID: PMC7592033, DOI: 10.1001/jama.2020.16167.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAdultAgedAged, 80 and overAlgorithmsAspirinCase-Control StudiesCause of DeathClopidogrelDatabases, FactualDyspneaFemaleHemorrhageHumansIschemiaMaleMiddle AgedMyocardial InfarctionNetwork Meta-AnalysisPercutaneous Coronary InterventionPropensity ScorePurinergic P2Y Receptor AntagonistsRecurrenceRepublic of KoreaRetrospective StudiesStrokeTicagrelorUnited StatesConceptsNet adverse clinical eventsAcute coronary syndromePercutaneous coronary interventionAdverse clinical eventsHemorrhagic eventsIschemic eventsHazard ratioCause mortalityCoronary syndromeCoronary interventionClinical eventsRisk of NACEClinical practiceLarge randomized clinical trialsPrimary end pointRetrospective cohort studyPropensity-matched pairsSummary hazard ratioRandomized clinical trialsRoutine clinical practiceSignificant differencesP2Y12 platelet inhibitorsTicagrelor groupCohort studySecondary outcomes
2008
Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome
Morgan TM, Xiao L, Lyons P, Kassebaum B, Krumholz HM, Spertus JA. Investigation of 89 candidate gene variants for effects on all-cause mortality following acute coronary syndrome. BMC Medical Genomics 2008, 9: 66. PMID: 18620593, PMCID: PMC2483267, DOI: 10.1186/1471-2350-9-66.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeRisk factorsACS mortalityCoronary syndromeTraditional cardiac risk factorsKaplan-Meier survival analysisMultivariate risk prediction modelCardiac risk factorsPutative genetic risk factorsGene variantsUniversity-affiliated hospitalBorderline statistical significanceGenetic risk factorsSystematic literature searchRisk prediction modelGenetic variantsCandidate gene variantsACS survivorsCause mortalityACS casesCox regressionPatient cohortClinical prognosisPotential confoundingSurvival analysis
2007
Patterns of Weight Change Preceding Hospitalization for Heart Failure
Chaudhry SI, Wang Y, Concato J, Gill TM, Krumholz HM. Patterns of Weight Change Preceding Hospitalization for Heart Failure. Circulation 2007, 116: 1549-1554. PMID: 17846286, PMCID: PMC2892745, DOI: 10.1161/circulationaha.107.690768.Peer-Reviewed Original ResearchMeSH KeywordsAdultAged, 80 and overCase-Control StudiesDecision MakingFemaleHeart FailureHospitalizationHumansLogistic ModelsMaleMiddle AgedPrognosisWeight GainConceptsHeart failure hospitalizationHeart failureControl patientsFailure hospitalizationBody weightCase patientsWeight gainDecompensated heart failureHeart failure severityBaseline body weightHeart failure decompensationPatient's body weightAdjusted odds ratioCase-control studyGradual weight gainDisease management programsHigh-risk periodBasis of ageOdds ratioHospitalizationPatientsMean increaseDaily weightWeight changeHome monitoringNonvalidation of Reported Genetic Risk Factors for Acute Coronary Syndrome in a Large-Scale Replication Study
Morgan TM, Krumholz HM, Lifton RP, Spertus JA. Nonvalidation of Reported Genetic Risk Factors for Acute Coronary Syndrome in a Large-Scale Replication Study. JAMA 2007, 297: 1551-1561. PMID: 17426274, DOI: 10.1001/jama.297.14.1551.Peer-Reviewed Original Research
2005
Admission Glucose and Mortality in Elderly Patients Hospitalized With Acute Myocardial Infarction
Kosiborod M, Rathore SS, Inzucchi SE, Masoudi FA, Wang Y, Havranek EP, Krumholz HM. Admission Glucose and Mortality in Elderly Patients Hospitalized With Acute Myocardial Infarction. Circulation 2005, 111: 3078-3086. PMID: 15939812, DOI: 10.1161/circulationaha.104.517839.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionGlucose levelsHigh glucose levelsMyocardial infarctionAdmission glucoseElderly patientsHyperglycemic patientsMortality riskElderly acute myocardial infarction patientsAcute myocardial infarction patientsAdmission glucose levelsMyocardial infarction patientsSimilar glucose levelsGreater mortality riskNondiabetic patientsMultivariable adjustmentDiabetic patientsInfarction patientsElevated glucosePatientsDiabetesGreater riskInfarctionMortality resultsMortalityThe impact of socioeconomic status and race on trial participation for older women with breast cancer
Gross CP, Filardo G, Mayne ST, Krumholz HM. The impact of socioeconomic status and race on trial participation for older women with breast cancer. Cancer 2005, 103: 483-491. PMID: 15597407, DOI: 10.1002/cncr.20792.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsianBlack or African AmericanBreast NeoplasmsCase-Control StudiesClinical Trials as TopicFemaleHispanic or LatinoHumansLogistic ModelsMedicaidMultivariate AnalysisNational Institutes of Health (U.S.)Odds RatioPatient SelectionPovertySEER ProgramUnemploymentUnited StatesWhite PeopleConceptsBreast cancer trialsTrial participationOlder womenBreast cancerSocioeconomic statusMedicaid insuranceTrial enrollmentCancer patientsCancer trialsMultivariable logistic regression modelBreast cancer patientsMedicaid insurance coverageAssociation of SESHigh-poverty zip codesCase-control studyPopulation-based sampleLow socioeconomic statusLogistic regression modelsImpact of SESWhite patientsBlack patientsSEER areasBlack raceElderly womenTrial participants
2004
Relationship between heart failure treatment and development of worsening renal function among hospitalized patients11Guest Editor for this manuscript was Peter M. Okin, MD, New York Hosptial-Cornell Medical Center, New York, NY.
Butler J, Forman DE, Abraham WT, Gottlieb SS, Loh E, Massie BM, O'Connor CM, Rich MW, Stevenson LW, Wang Y, Young JB, Krumholz HM. Relationship between heart failure treatment and development of worsening renal function among hospitalized patients11Guest Editor for this manuscript was Peter M. Okin, MD, New York Hosptial-Cornell Medical Center, New York, NY. American Heart Journal 2004, 147: 331-338. PMID: 14760333, DOI: 10.1016/j.ahj.2003.08.012.Peer-Reviewed Original ResearchConceptsFluid intake/outputHeart failureIntake/outputRenal functionHigh riskCalcium channel blocker useHistory of HFAssociation of medicationLoop diuretic dosesPredictors of WRFElevated creatinine levelEnzyme inhibitor useHeart failure treatmentCase-control studyUse of CCBGreater fluid lossHigher hematocrit levelsUncontrolled hypertensionBlocker useDiuretic dosesCreatinine levelsInhibitor useAcute treatmentDiabetes mellitusIndependent predictors
2003
Aspirin, beta-blocker, and angiotensin-converting enzyme inhibitor therapy in patients with end-stage renal disease and an acute myocardial infarction
Berger AK, Duval S, Krumholz HM. Aspirin, beta-blocker, and angiotensin-converting enzyme inhibitor therapy in patients with end-stage renal disease and an acute myocardial infarction. Journal Of The American College Of Cardiology 2003, 42: 201-208. PMID: 12875751, DOI: 10.1016/s0735-1097(03)00572-2.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAnalysis of VarianceAngiotensin-Converting Enzyme InhibitorsAspirinCase-Control StudiesCohort StudiesDrug Therapy, CombinationDrug UtilizationFemaleHumansKidney Failure, ChronicLogistic ModelsMaleMyocardial InfarctionPatient SelectionPeritoneal DialysisPlatelet Aggregation InhibitorsPractice Patterns, Physicians'PrognosisRenal DialysisRisk FactorsSurvival AnalysisTreatment OutcomeUnited StatesConceptsEnd-stage renal diseaseNon-ESRD patientsAcute myocardial infarctionESRD patientsRenal diseaseMyocardial infarctionAngiotensin-converting enzyme inhibitor therapyEnd-stage renal disease patientsAngiotensin-converting enzyme inhibitorStandard medical therapyEnzyme inhibitor therapyRenal disease patientsCooperative Cardiovascular Project databaseHigh-risk populationLogistic regression modelsEarly administrationInhibitor therapyMedical therapyACE inhibitorsAMI patientsPeritoneal dialysisPoor prognosisDisease patientsESRD databasePatients