2022
Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness
Wisk L, Gottlieb M, Spatz E, Yu H, Wang R, Slovis B, Saydah S, Plumb I, O’Laughlin K, Montoy J, McDonald S, Lin Z, Lin J, Koo K, Idris A, Huebinger R, Hill M, Gentile N, Chang A, Anderson J, Hota B, Venkatesh A, Weinstein R, Elmore J, Nichol G, Santangelo M, Ulrich A, Li S, Kinsman J, Krumholz H, Dorney J, Stephens K, Black K, Morse D, Morse S, Fernandes A, Sharma A, Stober T, Geyer R, Lyon V, Adams K, Willis M, Ruiz L, Park J, Malone K, Shughart H, Schaeffer K, Shughart L, Arab A, Grau D, Patel A, Watts P, Kelly M, Hunt A, Hannikainen P, Chalfin M, Cheng D, Miao J, Shutty C, Chavez S, Kane A, Marella P, Gallegos G, Martin K, L'Hommedieu M, Chandler C, Diaz Roldan K, Villegas N, Moreno R, Eguchi M, Rodriguez R, Kemball R, Chan V, Chavez C, Wong A, Hall A, Briggs-Hagen M. Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness. JAMA Network Open 2022, 5: e2244486. PMID: 36454572, PMCID: PMC9716377, DOI: 10.1001/jamanetworkopen.2022.44486.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultCohort StudiesCOVID-19COVID-19 TestingDisease ProgressionFemaleHumansMaleProspective StudiesSARS-CoV-2United StatesConceptsCOVID-19 positive groupCOVID-19-negative groupSARS-CoV-2 infectionCOVID-19 testCOVID-19 resultsSymptomatic illnessSymptomatic SARS-CoV-2 infectionNegative COVID-19 resultsSARS-CoV-2 statusSARS-CoV-2 test positivityPositive COVID-19 testSARS-CoV-2 testNegative COVID-19 testLongitudinal registry studyOutcomes Measurement Information SystemPatient-reported outcomesHealth care usePositive COVID-19 resultMultivariable regression analysisMeasurement Information SystemCOVID-19 testingNegative test resultsCohort studyRegistry studyPROMIS scores
2020
Extrapulmonary manifestations of COVID-19
Gupta A, Madhavan MV, Sehgal K, Nair N, Mahajan S, Sehrawat TS, Bikdeli B, Ahluwalia N, Ausiello JC, Wan EY, Freedberg DE, Kirtane AJ, Parikh SA, Maurer MS, Nordvig AS, Accili D, Bathon JM, Mohan S, Bauer KA, Leon MB, Krumholz HM, Uriel N, Mehra MR, Elkind MSV, Stone GW, Schwartz A, Ho DD, Bilezikian JP, Landry DW. Extrapulmonary manifestations of COVID-19. Nature Medicine 2020, 26: 1017-1032. PMID: 32651579, DOI: 10.1038/s41591-020-0968-3.Peer-Reviewed Original ResearchConceptsExtrapulmonary manifestationsCOVID-19Acute kidney injuryAcute coronary syndromeSpectrum of manifestationsCoronavirus SARS-CoV-2SARS-CoV-2Coronary syndromeGastrointestinal symptomsKidney injuryOcular symptomsThrombotic complicationsHepatocellular injuryEndothelial damageMyocardial dysfunctionDermatologic complicationsNeurologic illnessRespiratory pathologyImmune responseExtrapulmonary tissuesTherapeutic strategiesEntry receptorTissue damageOrgan systemsInjury
2016
Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time
Dharmarajan K, Qin L, Lin Z, Horwitz LI, Ross JS, Drye EE, Keshawarz A, Altaf F, Normand SL, Krumholz HM, Bernheim SM. Declining Admission Rates And Thirty-Day Readmission Rates Positively Associated Even Though Patients Grew Sicker Over Time. Health Affairs 2016, 35: 1294-1302. PMID: 27385247, DOI: 10.1377/hlthaff.2015.1614.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCenters for Medicare and Medicaid Services, U.S.Chronic DiseaseDatabases, FactualDisease ProgressionFemaleGeriatric AssessmentHospital MortalityHumansIncidenceLength of StayMaleOutcome Assessment, Health CarePatient AdmissionPatient ReadmissionRetrospective StudiesRisk AssessmentSeverity of Illness IndexTime FactorsUnited States
2015
Association of Discharge Summary Quality With Readmission Risk for Patients Hospitalized With Heart Failure Exacerbation
Salim Al-Damluji M, Dzara K, Hodshon B, Punnanithinont N, Krumholz HM, Chaudhry SI, Horwitz LI. Association of Discharge Summary Quality With Readmission Risk for Patients Hospitalized With Heart Failure Exacerbation. Circulation Cardiovascular Quality And Outcomes 2015, 8: 109-111. PMID: 25587092, PMCID: PMC4303529, DOI: 10.1161/circoutcomes.114.001476.Peer-Reviewed Original ResearchHospital Variation in Quality of Discharge Summaries for Patients Hospitalized With Heart Failure Exacerbation
Al-Damluji MS, Dzara K, Hodshon B, Punnanithinont N, Krumholz HM, Chaudhry SI, Horwitz LI. Hospital Variation in Quality of Discharge Summaries for Patients Hospitalized With Heart Failure Exacerbation. Circulation Cardiovascular Quality And Outcomes 2015, 8: 77-86. PMID: 25587091, PMCID: PMC4303507, DOI: 10.1161/circoutcomes.114.001227.Peer-Reviewed Original ResearchConceptsDays of dischargeDischarge summary qualityDischarge summariesHeart failureHeart Failure Outcome StudyHeart failure exacerbationHospital-level variationHospital-level performanceSingle-site studyMedian hospitalHospital courseDischarge weightHospital variationVolume statusAdverse outcomesOutcome studiesConsensus conferencePatientsHospitalCare toolsPhysiciansInadequate qualityDaysExacerbationSummary
2014
Trends in Use of Ezetimibe After the ENHANCE Trial, 2007 Through 2010
Ross JS, Frazee SG, Garavaglia SB, Levin R, Novshadian H, Jackevicius CA, Stettin G, Krumholz HM. Trends in Use of Ezetimibe After the ENHANCE Trial, 2007 Through 2010. JAMA Internal Medicine 2014, 174: 1486-1493. PMID: 25070672, PMCID: PMC4208827, DOI: 10.1001/jamainternmed.2014.3404.Peer-Reviewed Original ResearchConceptsLipid-lowering agentsENHANCE trialEzetimibe useEzetimibe initiationPharmacy benefit managersUse of ezetimibeProgression of atherosclerosisAdults 18 yearsHalf of adultsAtherosclerosis regression trialsPredictors of useBenefit managersEzetimibe monotherapyMonotherapy usersMedication initiationEligible adultsPrescription claimsCholesterol levelsRetrospective analysisMAIN OUTCOMEAdult beneficiariesUS census divisionsDiscontinuationRegression trialsEzetimibeImpact of the ENHANCE Trial on the use of ezetimibe in the United States and Canada
Lu L, Krumholz HM, Tu JV, Ross JS, Ko DT, Jackevicius CA. Impact of the ENHANCE Trial on the use of ezetimibe in the United States and Canada. American Heart Journal 2014, 167: 683-689. PMID: 24766978, PMCID: PMC4215424, DOI: 10.1016/j.ahj.2014.01.014.Peer-Reviewed Original ResearchConceptsUse of ezetimibeENHANCE trialEzetimibe useProgression of atherosclerosisMain outcome measuresAtherosclerosis regression trialsMonthly numberOutcome measuresRegression trialsEzetimibeIMS HealthCommon evidence baseEvidence baseTrialsUnited StatesUtilization patternsFurther investigationDifferent utilization patternsPopulationDifferent patternsUse trendsAtherosclerosisSimvastatinProgression
2012
Role of Intensive Glucose Control in Development of Renal End Points in Type 2 Diabetes Mellitus: Systematic Review and Meta-analysis
Coca SG, Ismail-Beigi F, Haq N, Krumholz HM, Parikh CR. Role of Intensive Glucose Control in Development of Renal End Points in Type 2 Diabetes Mellitus: Systematic Review and Meta-analysis. JAMA Internal Medicine 2012, 172: 761-769. PMID: 22636820, PMCID: PMC3688081, DOI: 10.1001/archinternmed.2011.2230.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBlood GlucoseDiabetes Mellitus, Type 2Diabetic NephropathiesDisease ProgressionFemaleGlycated HemoglobinHumansHypoglycemic AgentsKidney Failure, ChronicKidney Function TestsMaleMiddle AgedMonitoring, PhysiologicPrognosisRandomized Controlled Trials as TopicRenal DialysisRisk AssessmentSeverity of Illness IndexConceptsIntensive glucose controlRenal end pointsSerum creatinine levelsConventional glucose controlGlucose controlType 2 diabetesRenal diseaseCreatinine levelsEnd pointGlycemic controlSystematic reviewType 2 diabetes mellitusAggressive glycemic controlClinical renal outcomesKidney-related outcomesIntensive glycemic controlRenal outcomesCumulative incidenceDiabetes mellitusRandomized trialsConventional therapyLanguage restrictionsMacroalbuminuriaMicroalbuminuriaType 2
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
2007
Renal Impairment Predicts Long-Term Mortality Risk after Acute Myocardial Infarction
Smith GL, Masoudi FA, Shlipak MG, Krumholz HM, Parikh CR. Renal Impairment Predicts Long-Term Mortality Risk after Acute Myocardial Infarction. Journal Of The American Society Of Nephrology 2007, 19: 141-150. PMID: 18003773, PMCID: PMC2391037, DOI: 10.1681/asn.2007050554.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRenal functionRenal impairmentCreatinine clearanceMortality riskMyocardial infarctionCockcroft-Gault creatinine clearanceLong-term mortality riskMild renal impairmentSevere renal impairmentNormal renal functionCohort of patientsCooperative Cardiovascular ProjectPatient ageSystolic functionHospitalized patientsPrognostic importanceRisk factorsPatientsMortalityImpairmentClearanceGFRInfarctionRiskRandomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design
Chaudhry SI, Barton B, Mattera J, Spertus J, Krumholz HM. Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design. Journal Of Cardiac Failure 2007, 13: 709-714. PMID: 17996818, PMCID: PMC2702538, DOI: 10.1016/j.cardfail.2007.06.720.Peer-Reviewed Case Reports and Technical NotesMeSH KeywordsBiometryDisease ManagementDisease ProgressionHealth StatusHeart FailureHospitalizationHumansPrognosisRisk FactorsTelemedicineTreatment OutcomeConceptsHeart failure outcomesHeart failureClinical statusFailure outcomesDecompensated heart failureHeart failure decompensationCare of patientsPrimary care practicesSelf-reported weightUsual careHospital readmissionDaily symptomsRandomized trialsGeneral cardiologyPatient participationHealth behaviorsCare practicesPatientsFrequent monitoringFavorable effectInterventionOutcomesSymptomsTrialsCare
2006
Comparison 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 scaleSerum Urea Nitrogen, Creatinine, and Estimators of Renal Function: Mortality in Older Patients With Cardiovascular Disease
Smith GL, Shlipak MG, Havranek EP, Foody JM, Masoudi FA, Rathore SS, Krumholz HM. Serum Urea Nitrogen, Creatinine, and Estimators of Renal Function: Mortality in Older Patients With Cardiovascular Disease. JAMA Internal Medicine 2006, 166: 1134-1142. PMID: 16717177, DOI: 10.1001/archinte.166.10.1134.Peer-Reviewed Original ResearchConceptsCreatinine levelsMyocardial infarctionHeart failureMDRD eGFRCardiovascular patientsSerum urea nitrogen levelsOlder cardiovascular patientsHeart failure patientsModification of DietGlomerular filtration rateUrea nitrogen levelsProportional hazards modelSerum urea nitrogenML/minMagnitude of riskRenal measuresPostdischarge mortalityRenal dysfunctionOlder patientsRenal functionFailure patientsOutcome prognosticationRetrospective cohortFiltration rateCardiovascular disease
2005
Relation of Anemia at Discharge to Survival After Acute Coronary Syndromes
Vaglio J, Safley DM, Rahman M, Kosiborod M, Jones P, Thompson R, Krumholz HM, Spertus JA. Relation of Anemia at Discharge to Survival After Acute Coronary Syndromes. The American Journal Of Cardiology 2005, 96: 496-499. PMID: 16098299, DOI: 10.1016/j.amjcard.2005.04.008.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnemiaAngina, UnstableBiomarkersCause of DeathCoronary AngiographyDisease ProgressionElectrocardiographyFemaleFollow-Up StudiesHematocritHumansMaleMiddle AgedMissouriMyocardial InfarctionPatient DischargePrognosisProspective StudiesSeverity of Illness IndexSurvival RateTime FactorsTroponin
1999
Risk factors for cardiovascular disease: one down, many more to evaluate.
Vaccarino V, Krumholz H. Risk factors for cardiovascular disease: one down, many more to evaluate. Annals Of Internal Medicine 1999, 131: 62-3. PMID: 10391817, DOI: 10.7326/0003-4819-131-1-199907060-00012.Peer-Reviewed Original Research