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 ResearchConceptsFirst 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 controls
2021
Temporal relationship of computed and structured diagnoses in electronic health record data
Schulz WL, Young HP, Coppi A, Mortazavi BJ, Lin Z, Jean RA, Krumholz HM. Temporal relationship of computed and structured diagnoses in electronic health record data. BMC Medical Informatics And Decision Making 2021, 21: 61. PMID: 33596898, PMCID: PMC7890604, DOI: 10.1186/s12911-021-01416-x.Peer-Reviewed Original ResearchMeSH KeywordsDiabetes MellitusElectronic Health RecordsHumansHypertensionInformation Storage and RetrievalOutpatientsConceptsElectronic health recordsStructured diagnosisOutpatient blood pressureElectronic health record dataAcademic health systemLow-density lipoproteinHealth record dataBlood pressureStructured data elementsAdministrative claimsHypertensionClinical informationHyperlipidemiaClinical phenotypeEquivalent diagnosisVital signsHealth systemDiagnosisProblem listAdditional studiesHealth recordsRecord dataTimely accessEHR dataPatients
2020
Newly diagnosed diabetes and outcomes after acute myocardial infarction in young adults
Ding Q, Spatz ES, Lipska KJ, Lin H, Spertus JA, Dreyer RP, Whittemore R, Funk M, Bueno H, Krumholz HM. Newly diagnosed diabetes and outcomes after acute myocardial infarction in young adults. Heart 2020, 107: 657-666. PMID: 33082173, PMCID: PMC8005796, DOI: 10.1136/heartjnl-2020-317101.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth statusDischarge diagnosisPharmacological treatmentMyocardial infarctionShort-term health statusYoung AMI Patients (VIRGO) studyDisease-specific health statusYoung adultsQuality of lifeHospital complicationsHospital mortalityMedication initiationBaseline characteristicsClinical outcomesDiabetesPatientsDiagnosisPatient studiesMonthsComplicationsInfarctionSignificant differencesOutcomesMortalityBurden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States
Caraballo C, Valero-Elizondo J, Khera R, Mahajan S, Grandhi GR, Virani SS, Mszar R, Krumholz HM, Nasir K. Burden and Consequences of Financial Hardship From Medical Bills Among Nonelderly Adults With Diabetes Mellitus in the United States. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006139. PMID: 32069093, DOI: 10.1161/circoutcomes.119.006139.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsBlack or African AmericanComorbidityCost of IllnessCross-Sectional StudiesDiabetes MellitusFemaleFinancing, PersonalFood SupplyHealth Care CostsHealth Care SurveysHealth ExpendituresHealth Services AccessibilityHumansIncomeMaleMedically UninsuredMiddle AgedPatient ComplianceRisk AssessmentRisk FactorsUnited StatesYoung AdultConceptsDiabetes mellitusMedical billsHigher oddsMedical careNational Health Interview Survey dataHealth Interview Survey dataCost-related medication nonadherenceHigher comorbidity burdenCost-related nonadherenceSelf-reported diagnosisNon-Hispanic blacksInterview Survey dataFinancial hardshipMedication nonadherenceMean ageNonmedical needsHigh prevalenceMellitusMultivariate analysisPocket expenditureFood insecurityNonadherenceHigh financial distressPatientsAdults
2019
Interplay of Coronary Artery Calcium and Risk Factors for Predicting CVD/CHD Mortality The CAC Consortium
Grandhi GR, Mirbolouk M, Dardari ZA, Al-Mallah MH, Rumberger JA, Shaw LJ, Blankstein R, Miedema MD, Berman DS, Budoff MJ, Krumholz HM, Blaha MJ, Nasir K. Interplay of Coronary Artery Calcium and Risk Factors for Predicting CVD/CHD Mortality The CAC Consortium. JACC Cardiovascular Imaging 2019, 13: 1175-1186. PMID: 31734198, DOI: 10.1016/j.jcmg.2019.08.024.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCause of DeathComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseDiabetes MellitusDyslipidemiasFemaleHeart Disease Risk FactorsHumansHypertensionMaleMiddle AgedMultidetector Computed TomographyPredictive Value of TestsPrevalencePrognosisRetrospective StudiesRisk AssessmentSmokingTime FactorsUnited StatesVascular CalcificationConceptsCoronary artery calciumCoronary heart diseaseRisk factorsCause-specific mortalityRF burdenCause mortalityArtery calciumCAC scoreCVD mortalityAbsence of CACHigher CAC scoresCHD mortality ratesCurrent cigarette smokingCardiovascular disease deathsCAC ConsortiumCAC testingMulticenter cohortCigarette smokingDisease deathsHeart diseasePrognostic informationBaseline riskFamily historyMost deathsMortality rateEffects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus
Huo X, Krumholz HM, Bai X, Spatz ES, Ding Q, Horak P, Zhao W, Gong Q, Zhang H, Yan X, Sun Y, Liu J, Wu X, Guan W, Wang X, Li J, Li X, Spertus JA, Masoudi FA, Zheng X. Effects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005805. PMID: 31474119, DOI: 10.1161/circoutcomes.119.005805.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleBiomarkersBlood GlucoseChinaCoronary DiseaseCulturally Competent CareDiabetes MellitusExerciseFemaleGlycated HemoglobinHealth CommunicationHealthy LifestyleHumansHypoglycemic AgentsMaleMedication AdherenceMiddle AgedMotivationPatient Education as TopicRisk Reduction BehaviorSelf CareSingle-Blind MethodTelemedicineText MessagingTime FactorsTreatment OutcomeConceptsCoronary heart diseaseHeart diseaseGlycemic controlIntervention groupUsual careDiabetes mellitusBlood glucosePhysical activityControl groupText message-based interventionBlood pressure controlProportion of patientsRisk factor managementGood glycemic controlSystolic blood pressureBody mass indexText messaging programsText message interventionMobile health interventionsSecondary outcomesBlood pressurePrimary outcomeLDL cholesterolMass indexMedication adherenceAssociation of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study
Ding Q, Funk M, Spatz ES, Whittemore R, Lin H, Lipska KJ, Dreyer RP, Spertus JA, Krumholz HM. Association of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study. Journal Of The American Heart Association 2019, 8: e010988. PMID: 31441351, PMCID: PMC6755841, DOI: 10.1161/jaha.118.010988.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsDiabetes MellitusFemaleHealth StatusHealth Status IndicatorsHumansMaleMental HealthMiddle AgedMyocardial InfarctionPatient Reported Outcome MeasuresPredictive Value of TestsPrevalencePrognosisQuality of LifeRecovery of FunctionRisk AssessmentRisk FactorsSex FactorsSpainTime FactorsUnited StatesYoung AdultConceptsAcute myocardial infarctionEuroQol visual analogue scaleSeattle Angina QuestionnaireDiabetes mellitusForm Health SurveyHealth status outcomesHealth statusVIRGO StudyAnalog scaleMyocardial infarctionHealth SurveyStatus outcomesYoung adultsSAQ angina frequencyCardiovascular risk factorsHealth status scoresRisk of mortalityWorse health statusPoor health statusQuality of lifeWorse anginaAngina QuestionnaireClinical characteristicsHealthcare useStatus score
2018
Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States
Lu Y, Wang P, Zhou T, Lu J, Spatz ES, Nasir K, Jiang L, Krumholz HM. Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States. Journal Of The American Heart Association 2018, 7: e007462. PMID: 29374046, PMCID: PMC5850247, DOI: 10.1161/jaha.117.007462.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsAttitude of Health PersonnelBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasFemaleHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHumansHypertensionHypolipidemic AgentsLipidsLongitudinal StudiesMaleMiddle AgedNutrition SurveysObesityPractice Patterns, Physicians'PrevalencePrognosisRisk AssessmentRisk FactorsTime FactorsUnited StatesWaist CircumferenceConceptsHigher stroke prevalenceCardiovascular risk factorsHigh-sensitivity C-reactive proteinBody mass indexC-reactive proteinRisk factorsBlood pressureWaist circumferenceMass indexStroke prevalenceCardiovascular risk factor profileHigher mean blood pressureControl of hypertensionMean blood pressureBlood pressure levelsRisk factor profileComparison of prevalenceRepresentative population sampleLower ratesDyslipidemia awarenessSevere hypertensionHemoglobin A1cHypertension treatmentControl ratePlasma glucose
2017
Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results
Huang C, Dhruva SS, Coppi AC, Warner F, Li S, Lin H, Nasir K, Krumholz HM. Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results. Journal Of The American Heart Association 2017, 6: e007509. PMID: 29133522, PMCID: PMC5721802, DOI: 10.1161/jaha.117.007509.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureDiabetes MellitusFemaleHumansHypertensionMaleRisk FactorsSystoleConceptsSystolic blood pressure responseBlood pressure responseTreatment groupsCause deathVisit variabilityDiscordant trialsBlood pressure trialStandard treatment groupPressure responseACCORD participantsPressure trialSBP responseHeart failureMean SBPPrimary outcomeSBPDiscordant resultsMean differenceSimilar interventionsTrial resultsTrialsSimilar mean differencesTreatment effectsSignificant differencesStrokeHemoglobin A1c as a Surrogate for Clinical Outcomes in Diabetes Studies—Reply
Lipska KJ, Krumholz HM. Hemoglobin A1c as a Surrogate for Clinical Outcomes in Diabetes Studies—Reply. JAMA 2017, 318: 200-201. PMID: 28697251, DOI: 10.1001/jama.2017.7225.Peer-Reviewed Original ResearchHospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events
McCoy RG, Lipska KJ, Herrin J, Jeffery MM, Krumholz HM, Shah ND. Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events. Journal Of General Internal Medicine 2017, 32: 1097-1105. PMID: 28685482, PMCID: PMC5602759, DOI: 10.1007/s11606-017-4095-x.Peer-Reviewed Original ResearchConceptsDiabetes Complications Severity IndexSevere dysglycemiaIndex hospitalizationMedicare Advantage beneficiariesRisk factorsBetter care transitionsComplications Severity IndexPost-discharge managementIndependent risk factorYounger patient ageOptumLabs Data WarehouseStrong risk factorYears of ageBackgroundHospital readmissionsDesignRetrospective analysisCause readmissionUnplanned readmissionPatient agePrior hospitalizationReadmission ratesYounger patientsHeart failureHospital readmissionSevere hypoglycemiaDiabetes complicationsAdmission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study
Zhao S, Murugiah K, Li N, Li X, Xu ZH, Li J, Cheng C, Mao H, Downing NS, Krumholz HM, Jiang LX. Admission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study. Chinese Medical Journal 2017, 130: 767-775. PMID: 28345539, PMCID: PMC5381309, DOI: 10.4103/0366-6999.202733.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAbsence of diabetesAdverse clinical eventsAdmission glucoseNondiabetic patientsClinical eventsPrognostic valueBlood glucoseMyocardial infarctionRepresentative sampleGlucose levelsPatientsAdmissionMortalityGlucosePrior studiesHyperglycemiaInfarctionDiabetesMixed resultsStatistical power
2016
Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categoriesReply What Is the Prevalence of Diabetes Mellitus in Patients With Principal and Secondary Takotsubo Syndrome?
Murugiah K, Desai NN, Krumholz HM. Reply What Is the Prevalence of Diabetes Mellitus in Patients With Principal and Secondary Takotsubo Syndrome? JACC Heart Failure 2016, 4: 417-418. PMID: 27126286, DOI: 10.1016/j.jchf.2016.02.003.Commentaries, Editorials and Letters
2012
Discontinuation of Antihyperglycemic Therapy After Acute Myocardial Infarction: Medical Necessity or Medical Error?
Lovig KO, Horwitz L, Lipska K, Kosiborod M, Krumholz HM, Inzucchi SE. Discontinuation of Antihyperglycemic Therapy After Acute Myocardial Infarction: Medical Necessity or Medical Error? The Joint Commission Journal On Quality And Patient Safety 2012, 38: 403-407. PMID: 23002492, PMCID: PMC3534988, DOI: 10.1016/s1553-7250(12)38051-3.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionLeft ventricular ejection fractionAntihyperglycemic therapyDiabetic patientsMyocardial infarctionMedical necessityOne-year mortalityDetailed chart reviewVentricular ejection fractionIschemic heart diseaseNational Medicare databaseMedical errorsAcademic medical centerQuality improvement opportunitiesChart reviewClinical characteristicsOlder patientsRecurrent hypoglycemiaEjection fractionMedicare databaseBlood glucoseHeart diseasePrincipal diagnosisCommunity hospitalMedical Center
2008
Factors Associated With Longer Time From Symptom Onset to Hospital Presentation for Patients With ST-Elevation Myocardial Infarction
Ting HH, Bradley EH, Wang Y, Lichtman JH, Nallamothu BK, Sullivan MD, Gersh BJ, Roger VL, Curtis JP, Krumholz HM. Factors Associated With Longer Time From Symptom Onset to Hospital Presentation for Patients With ST-Elevation Myocardial Infarction. JAMA Internal Medicine 2008, 168: 959-968. PMID: 18474760, PMCID: PMC4858313, DOI: 10.1001/archinte.168.9.959.Peer-Reviewed Original ResearchConceptsST-elevation myocardial infarctionMyocardial infarctionHospital presentationSymptom onsetPatient subgroupsRisk factorsOnset of symptomsQuality of careRace/ethnicityNational registryPatient responsivenessInfarctionPatientsReference groupSubgroupsWomenMenCareOnsetMinutesPresentationYearsHoursGeometric meanDiabeticsUse of Recommended Ambulatory Care Services: Is the Veterans Affairs Quality Gap Narrowing?
Ross JS, Keyhani S, Keenan PS, Bernheim SM, Penrod JD, Boockvar KS, Federman AD, Krumholz HM, Siu AL. Use of Recommended Ambulatory Care Services: Is the Veterans Affairs Quality Gap Narrowing? JAMA Internal Medicine 2008, 168: 950-958. PMID: 18474759, DOI: 10.1001/archinte.168.9.950.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAmbulatory CareBehavioral Risk Factor Surveillance SystemBreast NeoplasmsCholesterolColorectal NeoplasmsCounselingDiabetes MellitusDiabetic RetinopathyDisease ManagementDyslipidemiasFemaleHospitals, VeteransHumansInfluenza VaccinesMaleMiddle AgedPneumococcal VaccinesPreventive Health ServicesQuality of Health CareSmoking CessationUnited StatesVeteransConceptsVeterans Affairs Medical CenterAmbulatory care servicesInsured adultsCancer screeningCare servicesBehavior Risk Factor Surveillance SystemRisk Factor Surveillance SystemCardiovascular risk reductionColorectal cancer screeningChronic disease careBreast cancer screeningQuality improvement initiativesQuality of careUS health care systemInfectious disease preventionHealth care systemHealth Care Quality Improvement InitiativeEye examinationSelf-reported useDisease careCancer preventionMellitus managementMedical CenterAmbulatory careService useGlucometrics in Patients Hospitalized With Acute Myocardial Infarction
Kosiborod M, Inzucchi SE, Krumholz HM, Xiao L, Jones PG, Fiske S, Masoudi FA, Marso SP, Spertus JA. Glucometrics in Patients Hospitalized With Acute Myocardial Infarction. Circulation 2008, 117: 1018-1027. PMID: 18268145, DOI: 10.1161/circulationaha.107.740498.Peer-Reviewed Original Research
2006
A Taxonomy for Disease Management
Krumholz HM, Currie PM, Riegel B, Phillips CO, Peterson ED, Smith R, Yancy CW, Faxon DP. A Taxonomy for Disease Management. Circulation 2006, 114: 1432-1445. PMID: 16952985, DOI: 10.1161/circulationaha.106.177322.Peer-Reviewed Original ResearchMeSH KeywordsCardiologyCase ManagementClinical ProtocolsComorbidityDelivery of Health CareDepressionDiabetes MellitusDisease ManagementHeart FailureInterdisciplinary CommunicationMedicareModels, TheoreticalOutcome and Process Assessment, Health CarePatient Care ManagementPatient Care TeamPatient Education as TopicPatient SelectionRisk FactorsSocieties, MedicalTerminology as TopicConceptsDisease management programsDisease management interventionsHeart failureDisease managementHealthcare providersTerms heart failureLevel of comorbidityMedical resource utilizationHome-based programPatient-centered measuresSystematic MEDLINE searchDuration of exposureHealthcare delivery systemSecondary outcomesClinical outcomesPatient populationPostacute careCaregiver burdenMedication managementStudy protocolChronic carePatient outcomesPatient educationWriting groupManagement interventionsComparison of Functional Status After Coronary Artery Bypass Grafting in Patients With and Without Diabetes Mellitus
Sahakyan K, Abramson JL, Krumholz HM, Vaccarino V. Comparison of Functional Status After Coronary Artery Bypass Grafting in Patients With and Without Diabetes Mellitus. The American Journal Of Cardiology 2006, 98: 619-623. PMID: 16923448, DOI: 10.1016/j.amjcard.2006.03.038.Peer-Reviewed Original ResearchConceptsPhysical Component Scale scoresCoronary artery bypassDiabetes mellitusPhysical functionMental healthArtery bypassScale scoreRisk of morbidityMental component scaleShort formHealth Survey dataDM statusFirst CABGCABG surgeryBaseline characteristicsConsecutive patientsFunctional recoveryFunctional statusPhysical functioningHealth SurveyCABGPatientsScore changeMellitusComponent scale