2020
Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut: Post-Infection Prevalence (PIP) Study
Mahajan S, Srinivasan R, Redlich CA, Huston SK, Anastasio KM, Cashman L, Massey DS, Dugan A, Witters D, Marlar J, Li SX, Lin Z, Hodge D, Chattopadhyay M, Adams MD, Lee C, Rao LV, Stewart C, Kuppusamy K, Ko AI, Krumholz HM. Seroprevalence of SARS-CoV-2-Specific IgG Antibodies Among Adults Living in Connecticut: Post-Infection Prevalence (PIP) Study. The American Journal Of Medicine 2020, 134: 526-534.e11. PMID: 33130124, PMCID: PMC7598362, DOI: 10.1016/j.amjmed.2020.09.024.Peer-Reviewed Original ResearchConceptsSARS-CoV-2-specific IgG antibodiesWeighted seroprevalenceIgG antibodiesSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodiesSARS-CoV-2-specific antibodiesConnecticut residentsSelf-reported adherenceImmunoglobulin G antibodiesSARS-CoV-2Symptomatic illnessSerology testingSeroprevalence studyG antibodiesPrevalence studyGeneral populationPercentage of peopleSeroprevalenceLack antibodiesMajority of respondentsAntibodiesHispanic subpopulationsConvenience sampleHispanic populationCOVID-19Risk mitigation behaviorsAssociation Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults
Mszar R, Mahajan S, Valero-Elizondo J, Yahya T, Sharma R, Grandhi GR, Khera R, Virani SS, Lichtman J, Khan SU, Cainzos-Achirica M, Vahidy FS, Krumholz HM, Nasir K. Association Between Sociodemographic Determinants and Disparities in Stroke Symptom Awareness Among US Young Adults. Stroke 2020, 51: 3552-3561. PMID: 33100188, DOI: 10.1161/strokeaha.120.031137.Peer-Reviewed Original ResearchConceptsNational Health Interview SurveyCommon stroke symptomsStroke symptomsHealth Interview SurveyYoung adultsUS young adultsSymptom awarenessFocused public health interventionsInterview SurveyStroke symptom awarenessHigh-risk characteristicsPublic health interventionsArms/legsCertain sociodemographic subgroupsLow education levelStroke incidenceSevere headacheSingle symptomStudy populationTimely diagnosisHigher oddsStroke rateHispanic ethnicityGeneral populationSociodemographic determinants
2015
Life Expectancy and Years of Potential Life Lost After Acute Myocardial Infarction by Sex and Race A Cohort-Based Study of Medicare Beneficiaries
Bucholz EM, Normand SL, Wang Y, Ma S, Lin H, Krumholz HM. Life Expectancy and Years of Potential Life Lost After Acute Myocardial Infarction by Sex and Race A Cohort-Based Study of Medicare Beneficiaries. Journal Of The American College Of Cardiology 2015, 66: 645-655. PMID: 26248991, PMCID: PMC5459400, DOI: 10.1016/j.jacc.2015.06.022.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionWhite patientsBlack patientsLife expectancyMyocardial infarctionMedicare beneficiariesCox proportional hazards regressionPotential lifeProspective cohort studyCohort-based studyProportional hazards regressionCooperative Cardiovascular ProjectBurden of diseaseLong-term survivalCohort studyClinical presentationHazards regressionBlack raceSurvival advantageGeneral populationPatientsAverage ageRace differencesLife expectancy estimatesYPLLSex Differences in Perceived Stress and Early Recovery in Young and Middle-Aged Patients With Acute Myocardial Infarction
Xu X, Bao H, Strait K, Spertus JA, Lichtman JH, D'Onofrio G, Spatz E, Bucholz EM, Geda M, Lorenze NP, Bueno H, Beltrame JF, Krumholz HM. Sex Differences in Perceived Stress and Early Recovery in Young and Middle-Aged Patients With Acute Myocardial Infarction. Circulation 2015, 131: 614-623. PMID: 25679303, PMCID: PMC4652932, DOI: 10.1161/circulationaha.114.012826.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMiddle-aged patientsMyocardial infarctionMental health statusWorse recoveryHealth statusSex differencesBaseline stressSex-based disparitiesYears of ageMultiple health outcomesQuality of lifeGreater mental stressSex-based differencesClinical characteristicsFemale sexEarly recoveryPerceived Stress ScaleGeneral populationGreater psychological stressHealth outcomesImprovement scoresInfarctionPatientsYounger age
2010
Cumulative Exposure to Ionizing Radiation From Diagnostic and Therapeutic Cardiac Imaging Procedures A Population-Based Analysis
Chen J, Einstein AJ, Fazel R, Krumholz HM, Wang Y, Ross JS, Ting HH, Shah ND, Nasir K, Nallamothu BK. Cumulative Exposure to Ionizing Radiation From Diagnostic and Therapeutic Cardiac Imaging Procedures A Population-Based Analysis. Journal Of The American College Of Cardiology 2010, 56: 702-711. PMID: 20619569, PMCID: PMC2952402, DOI: 10.1016/j.jacc.2010.05.014.Peer-Reviewed Original ResearchConceptsCardiac imaging proceduresCumulative effective doseMSv/yearEffective dosesImaging proceduresEffective doseRadiation exposureGeneral populationAnnual population-based ratesCardiac computed tomography (CT) studiesMean cumulative effective dosePopulation-based annual rateCumulative effective dosesMyocardial perfusion imagingComputed tomography studyPopulation-based ratesSubstantial radiation exposureCumulative dosesAdministrative claimsMyocardial perfusionPhysician's officeCumulative exposurePerfusion imagingPatientsTomography study
2009
Exposure to Low-Dose Ionizing Radiation from Medical Imaging Procedures
Fazel R, Krumholz HM, Wang Y, Ross JS, Chen J, Ting HH, Shah ND, Nasir K, Einstein AJ, Nallamothu BK. Exposure to Low-Dose Ionizing Radiation from Medical Imaging Procedures. New England Journal Of Medicine 2009, 361: 849-857. PMID: 19710483, PMCID: PMC3707303, DOI: 10.1056/nejmoa0901249.Peer-Reviewed Original ResearchConceptsCumulative effective dosesCumulative effective doseEffective dosesEffective doseMean cumulative effective doseImaging proceduresLow-dose ionizing radiationPopulation-based ratesMedian effective doseOutpatient settingGeneral populationHigh dosesUtilization dataDosesEnrolleesStudy periodRadiation exposureNuclear imagingDoseAnnual effective dosesMedical imaging proceduresUnited StatesExposureHealth care marketYears
2005
The Obesity Paradox: Body Mass Index and Outcomes in Patients With Heart Failure
Curtis JP, Selter JG, Wang Y, Rathore SS, Jovin IS, Jadbabaie F, Kosiborod M, Portnay EL, Sokol SI, Bader F, Krumholz HM. The Obesity Paradox: Body Mass Index and Outcomes in Patients With Heart Failure. JAMA Internal Medicine 2005, 165: 55-61. PMID: 15642875, DOI: 10.1001/archinte.165.1.55.Peer-Reviewed Original ResearchConceptsBody mass indexHeart failureDigitalis Investigation Group trialBaseline body mass indexStable heart failureStudy of patientsLean patientsObese patientsMass indexHealthy weightAdverse outcomesChronic diseasesGroup trialsGeneral populationStable outpatientsBetter outcomesPatientsOutcomesOverweightObesityOutpatientsDiseaseTrials
2003
Validity of a Simple ST-Elevation Acute Myocardial Infarction Risk Index
Rathore SS, Weinfurt KP, Gross CP, Krumholz HM. Validity of a Simple ST-Elevation Acute Myocardial Infarction Risk Index. Circulation 2003, 107: 811-816. PMID: 12591749, DOI: 10.1161/01.cir.0000049743.45748.02.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCalibrationCohort StudiesElectrocardiographyFemaleHumansInpatientsMaleMyocardial InfarctionMyocardial ReperfusionPredictive Value of TestsPrognosisRandomized Controlled Trials as TopicReproducibility of ResultsRetrospective StudiesRiskRisk AssessmentSurvival AnalysisConceptsSimple risk indexCommunity-based cohortRCT populationMyocardial infarctionST-segment elevation myocardial infarctionST-elevation myocardial infarctionMyocardial Infarction (TIMI) risk indexRandomized clinical trial dataAcute reperfusion therapyPatients 65 yearsRisk stratification scoresElevation myocardial infarctionCommunity-based populationDistribution of patientsHigh-risk groupLow-risk groupRisk stratification indexClinical trial dataYears of ageRisk indexReperfusion therapyRisk score distributionPrognostic scoreMortality estimatesGeneral population
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