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 behaviors
2015
Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study
Leifheit-Limson EC, D’Onofrio G, Daneshvar M, Geda M, Bueno H, Spertus JA, Krumholz HM, Lichtman JH. Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study. Journal Of The American College Of Cardiology 2015, 66: 1949-1957. PMID: 26515996, PMCID: PMC4628727, DOI: 10.1016/j.jacc.2015.08.859.Peer-Reviewed Original ResearchConceptsCardiac risk factorsAcute myocardial infarctionHealth care provider discussionsRisk modificationRisk factorsHeart diseaseHealth care providersProvider discussionsVIRGO StudyYounger patientsMyocardial infarctionCare providersSignificant cardiac risk factorsYoung AMI patientsPatients age 18Heart disease riskRisk factor prevalenceSelf-perceived riskModified Poisson regressionSex differencesFactor prevalenceAMI patientsCardiac riskSpanish hospitalsProvider feedback
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
2010
Do 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
2005
Knowledge of Cholesterol Levels and Targets in Patients With Coronary Artery Disease
Cheng S, Lichtman JH, Amatruda JM, Smith GL, Mattera JA, Roumanis SA, Krumholz HM. Knowledge of Cholesterol Levels and Targets in Patients With Coronary Artery Disease. Preventive Cardiology 2005, 8: 11-17. PMID: 15722689, DOI: 10.1111/j.1520-037x.2005.3939.x.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseHigh-density lipoproteinLow-density lipoproteinCholesterol targetsArtery diseaseCholesterol levelsMultiple cardiac risk factorsCardiac risk factorsTotal cholesterol levelsTotal cholesterol valuesRisk factorsCardiovascular diseaseCholesterol valuesPrevious historyPatientsLipoproteinDiseaseCollege educationWomenNonwhitesEducation effortsNational targetsTargetCholesterol