2024
Hospital COVID-19 Burden and Adverse Event Rates
Metersky M, Rodrick D, Ho S, Galusha D, Timashenka A, Grace E, Marshall D, Eckenrode S, Krumholz H. Hospital COVID-19 Burden and Adverse Event Rates. JAMA Network Open 2024, 7: e2442936. PMID: 39495512, DOI: 10.1001/jamanetworkopen.2024.42936.Peer-Reviewed Original ResearchConceptsCOVID-19 burdenHospital admissionPatient safetyRelative riskCohort studyStudy of hospital admissionsAcute care hospitalsRisk-adjustment variablesRisk-adjusted ratesMedicare hospital admissionsCOVID-19 pandemicStaffing shortagesHospital characteristicsMain OutcomesHospital resilienceSurge capacityMedicare patientsCare hospitalHighest burdenPrevent declinesPatient admissionsStudy sampleElixhauser comorbiditiesCOVID-19Low burdenFactors Associated with Long COVID Recovery among US Adults
Shah K, Shah R, Sawano M, Wu Y, Bishop P, Iwasaki A, Krumholz H. Factors Associated with Long COVID Recovery among US Adults. The American Journal Of Medicine 2024, 137: 896-899. PMID: 38649004, DOI: 10.1016/j.amjmed.2024.04.017.Peer-Reviewed Original ResearchUS adultsNational Health Interview SurveyNon-institutionalized US adultsLong COVIDFactors associated with Long COVIDReport recoveryHealth Interview SurveyNationally representative estimatesMultivariate logistic regression modelHigh school degreeLogistic regression modelsCOVID-19 symptomsCross-sectional sampleMultivariate logistic regression analysisNational survey dataHispanic adultsLogistic regression analysisInterview SurveyWhite adultsRepresentative estimatesAmerican adultsStudy sampleSchool degreeNonresponse biasRegression models
2022
Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018
Caraballo C, Herrin J, Mahajan S, Massey D, Lu Y, Ndumele CD, Drye EE, Krumholz HM. Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018. The American Journal Of Medicine 2022, 135: 1083-1092.e14. PMID: 35472394, DOI: 10.1016/j.amjmed.2022.04.010.Peer-Reviewed Original ResearchConceptsMultimorbidity prevalenceRace/ethnicityWhite individualsChronic conditionsBlack individualsSerial cross-sectional analysisCommon chronic conditionsRisk of morbidityPrevalence of multimorbidityPublic health interventionsCross-sectional analysisSelf-reported presenceSelf-reported raceLatino/HispanicMAIN OUTCOMEHealth interventionsEthnic disparitiesPrevalenceHealth inequalitiesStudy periodEarly lifeHispanic individualsTemporal trendsStudy sampleAsian individuals
2017
Hospital-Readmission Risk — Isolating Hospital Effects from Patient Effects
Krumholz HM, Wang K, Lin Z, Dharmarajan K, Horwitz LI, Ross JS, Drye EE, Bernheim SM, Normand ST. Hospital-Readmission Risk — Isolating Hospital Effects from Patient Effects. New England Journal Of Medicine 2017, 377: 1055-1064. PMID: 28902587, PMCID: PMC5671772, DOI: 10.1056/nejmsa1702321.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesReadmission ratesObserved readmission ratesSimilar diagnosesHospital effectsDifferent hospitalsHospital readmission performanceRate of readmissionHospital readmission ratesLower readmission ratesStudy sampleYears of ageSignificant differencesMultiple admissionsReadmission outcomesOnly significant differencePatient effectsSame patientMedicare recipientsPatientsReadmission performanceRisk-standardized hospital readmission ratesHospitalHospital qualityQuartile
2016
Life Expectancy after Myocardial Infarction, According to Hospital Performance
Bucholz EM, Butala NM, Ma S, Normand ST, Krumholz HM. Life Expectancy after Myocardial Infarction, According to Hospital Performance. New England Journal Of Medicine 2016, 375: 1332-1342. PMID: 27705249, PMCID: PMC5118048, DOI: 10.1056/nejmoa1513223.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRisk-standardized mortality ratesMyocardial infarctionLife expectancyMortality rateHospital performanceCooperative Cardiovascular ProjectProportional hazards modelLong-term survivalCase-mix severityLonger life expectancySurvival benefitInfarctionMedicare beneficiariesPatientsHospital case mixCase mixHospitalSurvival curvesQuintileStudy sampleSignificant differencesEarly survivalExpectancySurvival
2007
Acute Noncardiac Conditions and In-Hospital Mortality in Patients With Acute Myocardial Infarction
Lichtman JH, Spertus JA, Reid KJ, Radford MJ, Rumsfeld JS, Allen NB, Masoudi FA, Weintraub WS, Krumholz HM. Acute Noncardiac Conditions and In-Hospital Mortality in Patients With Acute Myocardial Infarction. Circulation 2007, 116: 1925-1930. PMID: 17923572, DOI: 10.1161/circulationaha.107.722090.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoncardiac conditionsHospital mortalityMyocardial infarctionConcomitant conditionsCommon concomitant conditionsHours of admissionIn-Hospital MortalityMedical record reviewTime of admissionEvidence-based therapiesClinical characteristicsHospital admissionMultivariable analysisRecord reviewSevere pneumoniaPrognostic importanceUS CentersInfarctionDisease severityPatientsAdmissionMortalityStudy sampleMarked increase
2005
Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics
Gross CP, Herrin J, Wong N, Krumholz HM. Enrolling Older Persons in Cancer Trials: The Effect of Sociodemographic, Protocol, and Recruitment Center Characteristics. Journal Of Clinical Oncology 2005, 23: 4755-4763. PMID: 16034051, DOI: 10.1200/jco.2005.14.365.Peer-Reviewed Original ResearchConceptsCancer trialsOlder personsRecruitment centerElderly enrollmentProportion of patientsEffect of patientProstate cancer trialsPatient-level variationFinal study sampleNational Cancer InstituteCross-sectional analysisEffects of sociodemographicsNonwhite patientsTrial participantsOutlier centersCancer InstitutePatientsEnrollment centerMultivariate analysisLikelihood of participantsCancer typesLogistic multilevel modelsTrialsCenter characteristicsStudy sample
2002
Reporting the recruitment process in clinical trials: who are these patients and how did they get there?
Gross CP, Mallory R, Heiat A, Krumholz HM. Reporting the recruitment process in clinical trials: who are these patients and how did they get there? Annals Of Internal Medicine 2002, 137: 10-6. PMID: 12093240, DOI: 10.7326/0003-4819-137-1-200207020-00007.Peer-Reviewed Original ResearchConceptsNumber of personsMedian proportionPotential study participantsMedical journalsClinical trialsEligible personsHigh-impact medical journalsGeneral populationRCTsMajor medical journalsStudy participantsPatient recruitment processStudy sampleTrialsEligibilityPersonsExplicit reviewProportionEnrollment processParticipantsPatients
2001
Aspirin and the Treatment of Heart Failure in the Elderly
Krumholz HM, Chen YT, Radford MJ. Aspirin and the Treatment of Heart Failure in the Elderly. JAMA Internal Medicine 2001, 161: 577-582. PMID: 11252118, DOI: 10.1001/archinte.161.4.577.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseHeart failureArtery diseaseBenefits of aspirinPatients 65 yearsRetrospective cohort studyUse of aspirinGroup of patientsAspirin prescriptionAspirin therapyCohort studyDischarge medicationsOlder patientsPatient characteristicsRandomized trialsVascular diseaseTreatment characteristicsConnecticut hospitalsBaseline differencesAspirinPatientsLower mortalityStrong associationDiseaseStudy sample
1998
Clinical correlates of in-hospital costs for acute myocardial infarction in patients 65 years of age and older
Krumholz H, Chen J, Murillo J, Cohen D, Radford M. Clinical correlates of in-hospital costs for acute myocardial infarction in patients 65 years of age and older. American Heart Journal 1998, 135: 523-531. PMID: 9506340, DOI: 10.1016/s0002-8703(98)70331-x.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPatients 65 yearsHospital costsMyocardial infarctionAcute myocardial infarction hospitalizationsActual clinical practiceMyocardial infarction hospitalizationsClinical characteristicsAdverse outcomesClinical correlatesMedical recordsClinical practiceHospital proceduresRoom costsInfarctionStudy sampleTotal meanRelative paucityAgeLarge proportionCorrelatesHospitalizationPatientsHospitalYears