2023
Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study
Bikdeli B, Lo Y, Khairani C, Bejjani A, Jimenez D, Barco S, Mahajan S, Caraballo C, Secemsky E, Klok F, Hunsaker A, Aghayev A, Muriel A, Wang Y, Hussain M, Appah-Sampong A, Lu Y, Lin Z, Aneja S, Khera R, Goldhaber S, Zhou L, Monreal M, Krumholz H, Piazza G. Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study. Thrombosis And Haemostasis 2023, 123: 649-662. PMID: 36809777, PMCID: PMC11200175, DOI: 10.1055/a-2039-3222.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsElectronic Health RecordsHumansInternational Classification of DiseasesPredictive Value of TestsPulmonary EmbolismReproducibility of ResultsConceptsElectronic health recordsNLP algorithmNatural language processing toolsLanguage processing toolsPrincipal discharge diagnosisICD-10 codesDischarge diagnosisNLP toolsChart reviewHealth systemProcessing toolsYale New Haven Health SystemPatient identificationElectronic databasesHealth recordsData validationHigh-risk PEPulmonary Embolism ResearchSecondary discharge diagnosisIdentification of patientsManual chart reviewNegative predictive valueCodeRadiology reportsAlgorithm
2020
Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction
Brush JE, Krumholz HM, Greene EJ, Dreyer RP. Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e005948. PMID: 32063049, PMCID: PMC7041412, DOI: 10.1161/circoutcomes.119.005948.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBiological Variation, IndividualFemaleHealth Status DisparitiesHumansInterviews as TopicMaleMiddle AgedMyocardial InfarctionPatient AdmissionPhenotypePredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainSymptom AssessmentUnited StatesYoung AdultConceptsAcute myocardial infarctionMyocardial infarctionMedical recordsYoung womenDiagnosis of AMIObservational cohort studyMedical record abstractionSymptom phenotypeDiagnostic processAnalysis of symptomsVIRGO StudyCohort studyRecord abstractionIndividual patientsClinician's abilityDiagnosis rateStandardized interviewPhenotype subgroupsSymptomsSimilar findingsYoung adultsWomenMenInfarctionPatients
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 rateAssociation 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 scoreThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort study
2018
Implications of coronary artery calcium testing on risk stratification for lipid-lowering therapy according to the 2016 European Society of Cardiology recommendations: The MESA study
Bittencourt MS, Blankstein R, Blaha MJ, Sandfort V, Agatston AS, Budoff MJ, Blumenthal RS, Krumholz HM, Nasir K. Implications of coronary artery calcium testing on risk stratification for lipid-lowering therapy according to the 2016 European Society of Cardiology recommendations: The MESA study. European Journal Of Preventive Cardiology 2018, 25: 1887-1898. PMID: 30043629, DOI: 10.1177/2047487318788930.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overBiomarkersClinical Decision-MakingCoronary AngiographyCoronary Artery DiseaseDyslipidemiasFemaleHumansHypolipidemic AgentsIncidenceLipidsMaleMiddle AgedPractice Guidelines as TopicPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsUnited StatesVascular CalcificationConceptsLipid-lowering treatmentCoronary artery calciumLipid-lowering therapyArtery calciumHigher cardiovascular mortalityCardiovascular mortalityUncontrolled groupCoronary Artery Calcium TestingCoronary heart disease eventsEuropean SocietyHeart disease eventsCardiovascular mortality ratesCardiovascular risk assessmentLow-risk groupCardiology recommendationsCardiology guidelinesCardiovascular riskESC recommendationsRisk stratificationMESA participantsCalcium testingRisk groupsGroup 31Lower incidenceMESA studySex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics
Gupta A, Barrabes JA, Strait K, Bueno H, Porta‐Sánchez A, Acosta‐Vélez J, Lidón R, Spatz E, Geda M, Dreyer RP, Lorenze N, Lichtman J, D'Onofrio G, Krumholz HM. Sex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics. Journal Of The American Heart Association 2018, 7: e007021. PMID: 29514807, PMCID: PMC5907538, DOI: 10.1161/jaha.117.007021.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetElectrocardiographyFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial ReperfusionPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainST Elevation Myocardial InfarctionTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesYoung AdultConceptsST-segment elevation myocardial infarctionElectrocardiographic characteristicsMyocardial infarctionReperfusion delayYounger patientsVentricular hypertrophyST elevationPrehospital ECGLateral leadsMultivariable logistic regression modelTimeliness of reperfusionVoltage criteriaElevation myocardial infarctionLeft ventricular hypertrophyAcute myocardial infarctionYears of ageLogistic regression modelsSex differencesClinical characteristicsCohort studyElectrocardiographic correlatesMultivariable analysisFemale sexSpanish hospitalsReperfusion guidelinesComparison of Physician Visual Assessment With Quantitative Coronary Angiography in Assessment of Stenosis Severity in China
Zhang H, Mu L, Hu S, Nallamothu BK, Lansky AJ, Xu B, Bouras G, Cohen DJ, Spertus JA, Masoudi FA, Curtis JP, Gao R, Ge J, Yang Y, Li J, Li X, Zheng X, Li Y, Krumholz HM, Jiang L. Comparison of Physician Visual Assessment With Quantitative Coronary Angiography in Assessment of Stenosis Severity in China. JAMA Internal Medicine 2018, 178: 239-247. PMID: 29340571, PMCID: PMC5838612, DOI: 10.1001/jamainternmed.2017.7821.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChinaCoronary AngiographyCoronary StenosisCoronary VesselsCross-Sectional StudiesFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPercutaneous Coronary InterventionPractice Patterns, Physicians'Predictive Value of TestsProspective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsConceptsPhysician visual assessmentPercutaneous coronary interventionAcute myocardial infarctionQuantitative coronary angiographyStenosis severityCoronary angiographyMean agePCI studiesMean percent diameter stenosisIndependent core laboratoryPercent diameter stenosisCross-sectional studyNon-AMI patientsStandard clinical practiceFractional flow reserveSubset of participantsQCA assessmentCoronary revascularizationMore stenosisCoronary interventionCoronary lesionsChina PatientCoronary angiogramDiameter stenosisMyocardial infarction
2017
Implications of Coronary Artery Calcium Testing for Treatment Decisions Among Statin Candidates According to the ACC/AHA Cholesterol Management Guidelines A Cost-Effectiveness Analysis
Hong JC, Blankstein R, Shaw LJ, Padula WV, Arrieta A, Fialkow JA, Blumenthal RS, Blaha MJ, Krumholz HM, Nasir K. Implications of Coronary Artery Calcium Testing for Treatment Decisions Among Statin Candidates According to the ACC/AHA Cholesterol Management Guidelines A Cost-Effectiveness Analysis. JACC Cardiovascular Imaging 2017, 10: 938-952. PMID: 28797417, DOI: 10.1016/j.jcmg.2017.04.014.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAmerican Heart AssociationBayes TheoremClinical Decision-MakingComputer SimulationCoronary AngiographyCoronary Artery DiseaseCoronary VesselsCost-Benefit AnalysisDecision Support TechniquesDrug CostsFemaleGuideline AdherenceHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedModels, EconomicMonte Carlo MethodMultivariate AnalysisPractice Guidelines as TopicPredictive Value of TestsQuality of LifeQuality-Adjusted Life YearsTime FactorsTreatment OutcomeUnited StatesVascular CalcificationConceptsCoronary artery calciumQuality-adjusted life yearsStatin therapyArtery calciumLong-term statin therapyAtherosclerotic cardiovascular disease eventsCholesterol management guidelinesIncremental cost-effectiveness ratioCardiovascular disease eventsAtherosclerotic cardiovascular diseaseCost-effectiveness ratioCost-effectiveness analysisStatin candidatesCholesterol managementCardiovascular diseaseTreatment decisionsAmerican CollegeDisease eventsLifetime horizonLife yearsAmerican HeartSocietal perspectiveManagement guidelinesStatinsPatients
2016
The china patient‐centered evaluative assessment of cardiac events (PEACE) prospective study of percutaneous coronary intervention: Study design
Du X, Pi Y, Dreyer RP, Li J, Li X, Downing NS, Li L, Feng F, Zhan L, Zhang H, Guan W, Xu X, Li S, Lin Z, Masoudi FA, Spertus JA, Krumholz HM, Jiang L, Group F. The china patient‐centered evaluative assessment of cardiac events (PEACE) prospective study of percutaneous coronary intervention: Study design. Catheterization And Cardiovascular Interventions 2016, 88: e212-e221. PMID: 26945565, PMCID: PMC5215582, DOI: 10.1002/ccd.26461.Peer-Reviewed Original ResearchMeSH KeywordsChinaClinical ProtocolsCoronary AngiographyHealth StatusHealthcare DisparitiesHumansMedication AdherenceMyocardial InfarctionPatient Reported Outcome MeasuresPatient-Centered CarePercutaneous Coronary InterventionPredictive Value of TestsProspective StudiesResearch DesignRisk AssessmentRisk FactorsSecondary PreventionTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionPatient-reported outcomesCardiovascular risk factor controlRisk factor controlProspective studyHealth statusMedical historyLong-term clinical outcomesLong-term patient outcomesHospital-level factorsIndependent core laboratoryNationwide prospective studyLong-term outcomesPatient's medical historyHospital outcomesCoronary interventionPatient demographicsSecondary preventionConsecutive patientsMedical chartsPCI indicationPrimary outcomeClinical outcomesClinical presentationHealthcare utilization
2014
Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance
Katzan IL, Spertus J, Bettger JP, Bravata DM, Reeves MJ, Smith EE, Bushnell C, Higashida RT, Hinchey JA, Holloway RG, Howard G, King RB, Krumholz HM, Lutz BJ, Yeh RW. Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance. Stroke 2014, 45: 918-944. PMID: 24457296, DOI: 10.1161/01.str.0000441948.35804.77.Peer-Reviewed Original ResearchMeSH KeywordsAmerican Heart AssociationBrain IschemiaHospitalsHumansModels, OrganizationalOutcome Assessment, Health CarePatient ReadmissionPredictive Value of TestsPrognosisQuality of Health CareRecovery of FunctionReproducibility of ResultsRisk AdjustmentSample SizeStrokeTreatment OutcomeUnited StatesConceptsIschemic stroke outcomeRisk-adjustment modelsStroke severityStroke outcomeStroke careOutcome measuresHospital levelRisk-adjusted outcome comparisonsRisk adjustmentHospital-level outcomesHospital performanceVascular risk factorsImportant prognostic factorIschemic stroke careIndividual patient levelStroke severity measuresRisk-adjusted modelsHospital-level performanceQuality of strokeComparison of qualityIschemic strokePrognostic factorsComorbid conditionsFunctional outcomeMajor disability
2013
Determinants of fluoroscopy time for invasive coronary angiography and percutaneous coronary intervention: Insights from the NCDR®
Fazel R, Curtis J, Wang Y, Einstein AJ, Smith‐Bindman R, Tsai TT, Chen J, Shah ND, Krumholz HM, Nallamothu BK. Determinants of fluoroscopy time for invasive coronary angiography and percutaneous coronary intervention: Insights from the NCDR®. Catheterization And Cardiovascular Interventions 2013, 82: 1091-1105. PMID: 23703793, DOI: 10.1002/ccd.24996.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionInvasive coronary angiographyHospital-level factorsFluoroscopy timePrior CABGCoronary interventionPrior coronary artery bypassRadiation exposureCoronary artery bypassNumerous clinical scenariosArtery bypassCathPCI RegistryPatient characteristicsCoronary angiographyPCI proceduresModifiable determinantsPatientsClinical scenariosModifiable sourceProcedure complexityCABGMinutesInterventionExposureWide variation2013 ACCF/AHA Guideline for the Management of ST‐Elevation Myocardial Infarction: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines
O'Gara PT, Kushner FG, Ascheim DD, Casey DE, Chung MK, de Lemos JA, Ettinger SM, Fang JC, Fesmire FM, Franklin BA, Granger CB, Krumholz HM, Linderbaum JA, Morrow DA, Newby LK, Ornato JP, Ou N, Radford MJ, Tamis-Holland JE, Tommaso CL, Tracy CM, Woo YJ, Zhao DX. 2013 ACCF/AHA Guideline for the Management of ST‐Elevation Myocardial Infarction: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Catheterization And Cardiovascular Interventions 2013, 82: e1-e27. PMID: 23299937, DOI: 10.1002/ccd.24776.Peer-Reviewed Original Research
2012
Physical function and independence 1 year after myocardial infarction: Observations from the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status registry
Dodson JA, Arnold SV, Reid KJ, Gill TM, Rich MW, Masoudi FA, Spertus JA, Krumholz HM, Alexander KP. Physical function and independence 1 year after myocardial infarction: Observations from the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status registry. American Heart Journal 2012, 163: 790-796. PMID: 22607856, PMCID: PMC3359897, DOI: 10.1016/j.ahj.2012.02.024.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAge FactorsAgedAngioplasty, Balloon, CoronaryAttitude to HealthCardiac CatheterizationCoronary AngiographyDepressionElectrocardiographyFemaleFollow-Up StudiesHealth SurveysHumansIncidenceIndependent LivingMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionPhysical FitnessPoisson DistributionPredictive Value of TestsQuality of LifeRegistriesRisk AssessmentSickness Impact ProfileSurveys and QuestionnairesSurvivorsTime FactorsTranslational Research, BiomedicalConceptsAcute myocardial infarctionPhysical function declineFunction declinePhysical functionMyocardial infarctionHealth statusEuroQol-5DUninsured statusTime of AMIShort Form-12 Physical Component ScoreIndependence lossEnd-stage renal diseasePost-acute myocardial infarctionCardiac rehabilitation referralPhysical component scorePatients' health statusQuality of lifePoisson regression modelsTRIUMPH registryRehabilitation referralRenal diseaseNonwhite raceFemale sexRisk factorsUnmarried status
2011
Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging
Chen J, Fazel R, Ross JS, McNamara RL, Einstein AJ, Al-Mallah M, Krumholz HM, Nallamothu BK. Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging. JACC Cardiovascular Imaging 2011, 4: 630-637. PMID: 21679898, PMCID: PMC3319749, DOI: 10.1016/j.jcmg.2011.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionEchocardiography, StressEmpirical ResearchFemaleHealthcare DisparitiesHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMyocardial Perfusion ImagingMyocardial RevascularizationOffice VisitsOutpatient Clinics, HospitalPractice Patterns, Physicians'Predictive Value of TestsResidence CharacteristicsTime FactorsUnited StatesYoung AdultConceptsMyocardial perfusion imagingSubsequent myocardial perfusion imagingProportion of patientsStress echocardiographyCardiac catheterizationHospital outpatient settingPhysician's officeOutpatient settingStress testingSubsequent cardiac testingCardiac stress testingDownstream resource utilizationHospital outpatient facilitiesCardiac testingPrivate health insuranceDownstream testingOffice imagingPerfusion imagingCatheterizationImaging studiesOutpatient imagingPatientsHealth insuranceLower ratesHigh rate
2010
2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the Diagnosis and Management of Patients With Thoracic Aortic Disease: Executive Summary
Hiratzka L, Bakris G, Beckman J, Bersin R, Carr V, Casey D, Eagle K, Hermann L, Isselbacher E, Kazerooni E, Kouchoukos N, Lytle B, Milewicz D, Reich D, Sen S, Shinn J, Svensson L, Williams D, Jacobs A, Smith S, Anderson J, Adams C, Buller C, Creager M, Ettinger S, Guyton R, Halperin J, Hunt S, Krumholz H, Kushner F, Lytle B, Nishimura R, Page R, Riegel B, Stevenson W, Tarkington L, Yancy C. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the Diagnosis and Management of Patients With Thoracic Aortic Disease: Executive Summary. Catheterization And Cardiovascular Interventions 2010, 76: e43-e86. PMID: 20687249, DOI: 10.1002/ccd.22537.Peer-Reviewed Original ResearchDo Self- or Parent-Reported Dietary, Physical Activity, and Sedentary Behaviors Predict Worsening Obesity in Children?
Dorsey KB, Mauldon M, Magraw R, Yu S, Krumholz HM. Do Self- or Parent-Reported Dietary, Physical Activity, and Sedentary Behaviors Predict Worsening Obesity in Children? The Journal Of Pediatrics 2010, 157: 566-571. PMID: 20542293, PMCID: PMC2936814, DOI: 10.1016/j.jpeds.2010.04.062.Peer-Reviewed Original ResearchConceptsBMI z-scoreRisk factorsZ-scoreFamily historySedentary behaviorPhysical activityRisk behaviorsRoutine healthcare visitsPhysical activity behaviorHealthcare visitsObese patientsDiabetes mellitusObese childrenAcanthosis nigricansMedical recordsPediatric cliniciansBMI valuesObesityRandom effects regression analysisGreater riskActivity behaviorOverweightPatientsRegression analysisVisits
2009
The Association of Cognitive and Somatic Depressive Symptoms With Depression Recognition and Outcomes After Myocardial Infarction
Smolderen KG, Spertus JA, Reid KJ, Buchanan DM, Krumholz HM, Denollet J, Vaccarino V, Chan PS. The Association of Cognitive and Somatic Depressive Symptoms With Depression Recognition and Outcomes After Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2009, 2: 328-337. PMID: 20031858, PMCID: PMC2779543, DOI: 10.1161/circoutcomes.109.868588.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCognitive depressive symptomsSomatic depressive symptomsDepressive symptomsSomatic symptomsAMI patientsMyocardial infarctionCognitive symptomsUnadjusted Cox regression analysisPatient Health Questionnaire scoresDepression recognitionLong-term prognosisCox regression analysisLong-term outcomesRecognition of depressionAssociation of CognitiveCause mortalityCause rehospitalizationIndex hospitalizationMultivariable adjustmentAMI registrySymptom scoresClinical recognitionIndependent associationMedical records
2008
Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review
Ross JS, Mulvey GK, Stauffer B, Patlolla V, Bernheim SM, Keenan PS, Krumholz HM. Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review. JAMA Internal Medicine 2008, 168: 1371-1386. PMID: 18625917, DOI: 10.1001/archinte.168.13.1371.Peer-Reviewed Original ResearchMeSH KeywordsDisease ProgressionEvidence-Based MedicineFemaleHeart FailureHospitalizationHumansIncidenceMaleModels, StatisticalPatient ReadmissionPredictive Value of TestsProportional Hazards ModelsQuality-Adjusted Life YearsRisk FactorsSensitivity and SpecificitySeverity of Illness IndexSurvival AnalysisUnited StatesConceptsPatient characteristicsPatient readmission riskReadmission riskPatient riskSystematic reviewReadmission ratesHospital ratesOvid Evidence-Based Medicine ReviewsEligible English-language publicationsEvidence-Based Medicine ReviewsHeart failure hospitalizationPatient risk stratificationEnglish-language literatureEnglish-language publicationsFailure hospitalizationHF hospitalizationAdult patientsHeart failureHospital readmissionMedicine ReviewsRisk stratificationPatient predictorsInclusion criteriaReadmissionCombined outcomeGlucometrics 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