2022
Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States
Wang Y, Eldridge N, Metersky ML, Rodrick D, Faniel C, Eckenrode S, Mathew J, Galusha DH, Tasimi A, Ho SY, Jaser L, Peterson A, Normand ST, Krumholz HM. Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States. JAMA Network Open 2022, 5: e2214586. PMID: 35639379, PMCID: PMC9157270, DOI: 10.1001/jamanetworkopen.2022.14586.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesMedicare Patient Safety Monitoring SystemCause readmission rateAdverse eventsReadmission ratesHigh riskHospital-level readmission ratesHigher patient riskHospital adverse eventsAdverse event dataCross-sectional studyHospital performanceIndex hospitalizationMedian ageHospital characteristicsMedical recordsReadmission dataPatient riskHospital careMAIN OUTCOMEPneumoniaHospital levelPatientsReadmissionGreater risk
2021
Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival
Yang DX, Khera R, Miccio JA, Jairam V, Chang E, Yu JB, Park HS, Krumholz HM, Aneja S. Prevalence of Missing Data in the National Cancer Database and Association With Overall Survival. JAMA Network Open 2021, 4: e211793. PMID: 33755165, PMCID: PMC7988369, DOI: 10.1001/jamanetworkopen.2021.1793.Peer-Reviewed Original ResearchConceptsNational Cancer DatabaseNon-small cell lung cancerOverall survivalCell lung cancerCancer DatabaseMedical recordsLung cancerProstate cancerBreast cancerPatient recordsComplete dataRetrospective cohort studyCohort studyCancer RegistryCommon cancerVariables of interestHigh prevalenceMAIN OUTCOMEPatientsClinical advancementReal-world data sourcesCancerPrevalenceSurvivalHeterogeneous differencesAssociation between antecedent statin use and decreased mortality in hospitalized patients with COVID-19
Gupta A, Madhavan MV, Poterucha TJ, DeFilippis EM, Hennessey JA, Redfors B, Eckhardt C, Bikdeli B, Platt J, Nalbandian A, Elias P, Cummings MJ, Nouri SN, Lawlor M, Ranard LS, Li J, Boyle C, Givens R, Brodie D, Krumholz HM, Stone GW, Sethi SS, Burkhoff D, Uriel N, Schwartz A, Leon MB, Kirtane AJ, Wan EY, Parikh SA. Association between antecedent statin use and decreased mortality in hospitalized patients with COVID-19. Nature Communications 2021, 12: 1325. PMID: 33637713, PMCID: PMC7910606, DOI: 10.1038/s41467-021-21553-1.Peer-Reviewed Original ResearchConceptsAcute respiratory distress syndromeStatin usePrimary endpointCOVID-19Multivariable logistic regression modelStudy periodLower inpatient mortalityPropensity-matched cohortRespiratory distress syndromeCoronavirus disease 2019Electronic medical recordsLogistic regression modelsPropensity-score matchingHospital mortalityHyperinflammatory stateOutpatient medicationsClinical characteristicsInpatient mortalityStatin usersThrombotic complicationsDistress syndromeHospitalized patientsMyocardial injuryMedical recordsRetrospective analysis
2020
Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction
Caraballo C, Khera R, Jones PG, Decker C, Schulz W, Spertus JA, Krumholz HM. Rates and Predictors of Patient Underreporting of Hospitalizations During Follow-Up After Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006231. PMID: 32552061, PMCID: PMC9465954, DOI: 10.1161/circoutcomes.119.006231.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionHospitalization eventsMedical recordsLongitudinal multicenter cohort studyMulticenter cohort studyMedical record abstractionDifferent patient characteristicsHealth care eventsPatients' underreportingTRIUMPH registryAccuracy of reportingCohort studyPatient characteristicsRecord abstractionProspective studyClinical studiesClinical investigationHospitalizationPatientsCare eventsInfarctionEvent ratesParticipantsPredictorsSex 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 adultsWomenMenInfarctionPatientsQuality of Care for Patients Hospitalized for Heart Failure in China
Gupta A, Yu Y, Tan Q, Liu S, Masoudi FA, Du X, Zhang J, Krumholz HM, Li J. Quality of Care for Patients Hospitalized for Heart Failure in China. JAMA Network Open 2020, 3: e1918619. PMID: 31913489, PMCID: PMC6991250, DOI: 10.1001/jamanetworkopen.2019.18619.Peer-Reviewed Original ResearchConceptsQuality of careHospital levelHF careEligible patientsComposite performance scoreEvidence-based β-blockersAngiotensin-converting enzyme inhibitorRetrospective cross-sectional studyVentricular ejection fraction assessmentMedian rateAngiotensin receptor blockersMedian patient ageHeart failure epidemicCross-sectional studyEjection fraction assessmentMedian odds ratioPerformance scoresHF hospitalizationReceptor blockersPatient ageHeart failureHospital admissionMedical recordsOdds ratioMAIN OUTCOME
2019
The China Patient-centred Evaluative Assessment of Cardiac Events (PEACE) prospective heart failure study design
Huang X, Yu Y, Li X, Masoudi FA, Spertus JA, Yan X, Krumholz HM, Jiang L, Li J. The China Patient-centred Evaluative Assessment of Cardiac Events (PEACE) prospective heart failure study design. BMJ Open 2019, 9: e025144. PMID: 30782925, PMCID: PMC6377534, DOI: 10.1136/bmjopen-2018-025144.Peer-Reviewed Original ResearchConceptsPatient-reported outcomesHeart failureChina PatientMedical historyCardiac Events Prospective Heart Failure StudyDisease-specific health statusEthics CommitteeCardiovascular risk factorsProspective cohort studyMin walk testHeart Failure StudyPatient's medical historyLocal ethics committeeQuality of careCollection of bloodHF hospitalisationHospitalisation eventsHospital outcomesCohort studyPatient demographicsTransthoracic echocardiogramWalk testHospital treatmentMedical recordsRisk factors
2018
Assessment of US Hospital Compliance With Regulations for Patients’ Requests for Medical Records
Lye CT, Forman HP, Gao R, Daniel JG, Hsiao AL, Mann MK, deBronkart D, Campos HO, Krumholz HM. Assessment of US Hospital Compliance With Regulations for Patients’ Requests for Medical Records. JAMA Network Open 2018, 1: e183014. PMID: 30646219, PMCID: PMC6324595, DOI: 10.1001/jamanetworkopen.2018.3014.Peer-Reviewed Original ResearchThe China Patient-centered Evaluative Assessment of Cardiac Events (China PEACE) retrospective heart failure study design
Yu Y, Zhang H, Li X, Lu Y, Masoudi FA, Krumholz HM, Li J. The China Patient-centered Evaluative Assessment of Cardiac Events (China PEACE) retrospective heart failure study design. BMJ Open 2018, 8: e020918. PMID: 29748344, PMCID: PMC5950642, DOI: 10.1136/bmjopen-2017-020918.Peer-Reviewed Original ResearchConceptsHeart failureChina PatientEthics CommitteeRetrospective cohort studyHeart Failure StudyCardiovascular disease prevalenceEthics committee approvalQuality of careHospital outcomesCohort studyPatient characteristicsLeading causeMedical recordsCardiovascular diseaseCase ascertainmentTreatment outcomesCurrent burdenCommittee approvalData abstractionDiagnostic testingPatient recordsCentral Ethics CommitteeLocal approvalPatientsStudy design
2016
Coronary Catheterization and Percutaneous Coronary Intervention in China: 10-Year Results From the China PEACE-Retrospective CathPCI Study
Zheng X, Curtis JP, Hu S, Wang Y, Yang Y, Masoudi FA, Spertus JA, Li X, Li J, Dharmarajan K, Downing NS, Krumholz HM, Jiang L. Coronary Catheterization and Percutaneous Coronary Intervention in China: 10-Year Results From the China PEACE-Retrospective CathPCI Study. JAMA Internal Medicine 2016, 176: 512. PMID: 26974883, PMCID: PMC5459379, DOI: 10.1001/jamainternmed.2016.0166.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAngina, UnstableCardiac CatheterizationChinaCoronary Artery DiseaseDrug-Eluting StentsFemaleHospital MortalityHospitals, UrbanHumansLength of StayMaleMedical RecordsMiddle AgedMyocardial InfarctionOdds RatioOutcome Assessment, Health CarePercutaneous Coronary InterventionPostoperative ComplicationsPostoperative HemorrhageQuality of Health CareRetrospective StudiesStentsTime-to-TreatmentConceptsPercutaneous coronary interventionDrug-eluting stentsQuality of careCoronary catheterizationCoronary interventionNonobstructive coronary artery diseasePrimary percutaneous coronary interventionFuture quality improvement initiativesEvidence-based medicationsOutcomes of patientsCoronary artery diseaseClinical observational studyUse of catheterizationQuality improvement initiativesCalendar year 2001Hospital mortalityArtery diseasePatient characteristicsStable patientsTreatment patternsMedian lengthMean agePCI proceduresMedical recordsObservational study
2015
Qingdao Port Cardiovascular Health Study: a prospective cohort study
Spatz ES, Jiang X, Lu J, Masoudi FA, Spertus JA, Wang Y, Li X, Downing NS, Nasir K, Du X, Li J, Krumholz HM, Liu X, Jiang L. Qingdao Port Cardiovascular Health Study: a prospective cohort study. BMJ Open 2015, 5: e008403. PMID: 26656011, PMCID: PMC4679897, DOI: 10.1136/bmjopen-2015-008403.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCohort StudiesCost of IllnessDiabetes Mellitus, Type 2Early DiagnosisEnvironmental ExposureFemaleHealth BehaviorHealth SurveysHumansHyperlipidemiasHypertensionIncidenceMaleMiddle AgedOccupational ExposurePhysical ExaminationPreventive Health ServicesProspective StudiesRisk FactorsSelf ReportSocioeconomic FactorsWorkplaceConceptsAnnual health assessmentCardiovascular diseaseRisk factorsUnique risk factor profileCardiovascular risk factorsClinical risk factorsProspective cohort studyRisk factor profileHospital medical recordsCardiovascular Health StudyPopulation-based studyPopulation-based strategiesHealth assessmentCardiovascular outcomesCohort studyCarotid ultrasoundMean agePhysical examinationCardiovascular healthHeart diseaseMedical recordsDisease onsetMedical insurance claimsHealth StudyUrine analysisDo Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresFrequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study)
Gupta A, Chui P, Zhou S, Spertus JA, Geda M, Lorenze N, Lee I, Onofrio G, Lichtman JH, Alexander KP, Krumholz HM, Curtis JP. Frequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study). The American Journal Of Cardiology 2015, 116: 1-7. PMID: 25937348, PMCID: PMC4466069, DOI: 10.1016/j.amjcard.2015.03.032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAngioplasty, Balloon, CoronaryAnticoagulantsAntithrombinsBody Mass IndexCohort StudiesFemaleHemorrhageHeparinHirudinsHumansMaleMiddle AgedMyocardial InfarctionPeptide FragmentsPercutaneous Coronary InterventionPlatelet Glycoprotein GPIIb-IIIa ComplexPrevalenceRecombinant ProteinsRisk AssessmentRisk FactorsSex DistributionTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionGlycoprotein IIb/IIIa inhibitorsIIb/IIIa inhibitorsExcess dosingAcute myocardial infarctionCoronary interventionMultivariable analysisMyocardial infarctionUnderwent Percutaneous Coronary InterventionLower body weightOlder patientsYounger patientsUnfractionated heparinMedical recordsUnivariate analysisAnticoagulant agentsAnticoagulant drugsBody weightPatientsDosingYounger ageLogistic regressionYoung womenAnticoagulantsGender-based differences
2014
National Trends in Patient Safety for Four Common Conditions, 2005–2011
Wang Y, Eldridge N, Metersky ML, Verzier NR, Meehan TP, Pandolfi MM, Foody JM, Ho SY, Galusha D, Kliman RE, Sonnenfeld N, Krumholz HM, Battles J. National Trends in Patient Safety for Four Common Conditions, 2005–2011. New England Journal Of Medicine 2014, 370: 341-351. PMID: 24450892, PMCID: PMC4042316, DOI: 10.1056/nejmsa1300991.Peer-Reviewed Original ResearchConceptsCongestive heart failureAcute myocardial infarctionMore adverse eventsProportion of patientsAdverse event ratesAdverse eventsHeart failureMyocardial infarctionRate of occurrenceCommon medical conditionsMedical recordsMedicare patientsMedical conditionsPatientsSurgeryInfarctionPneumoniaHospitalizationPatient safetyNational trendsMonitoring System dataSignificant declineFailureProportionRate
2011
Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia
Lindenauer PK, Normand S, Drye EE, Lin Z, Goodrich K, Desai MM, Bratzler DW, O'Donnell WJ, Metersky ML, Krumholz HM. Development, validation, and results of a measure of 30‐day readmission following hospitalization for pneumonia. Journal Of Hospital Medicine 2011, 6: 142-150. PMID: 21387551, DOI: 10.1002/jhm.890.Peer-Reviewed Original ResearchConceptsHospital readmission ratesReadmission ratesOdds of readmissionRetrospective cohort studyMedical record reviewPrincipal discharge diagnosisDays of treatmentElderly patientsHospital dischargeCohort studyRecord reviewDischarge diagnosisUnadjusted ratesOutpatient MedicareMedical recordsAdministrative claimsMedicare beneficiariesReadmissionPneumoniaRisk-standardized hospital readmission ratesHospital
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 analysisVisitsApplying Practice Recommendations for the Prevention and Treatment of Obesity in Children and Adolescents
Dorsey KB, Mauldon M, Magraw R, Valka J, Yu S, Krumholz HM. Applying Practice Recommendations for the Prevention and Treatment of Obesity in Children and Adolescents. Clinical Pediatrics 2010, 49: 137-145. PMID: 20080520, DOI: 10.1177/0009922809346567.Peer-Reviewed Original ResearchConceptsCross-sectional analysisObese patientsFifth visitDocumentation of BMIFirst clinic visitTreatment of obesityLongitudinal analysisIndividual risk behaviorsClinic visitsClinician adherenceMedical recordsWeight managementObesity preventionFirst visitClinicians' attentionRisk behaviorsPatientsPractice recommendationsVisitsOverweightBMIPreventionAdherenceTreatmentObesity
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
2005
Validity of Using an Electronic Medical Record for Assessing Quality of Care in an Outpatient Setting
Benin AL, Vitkauskas G, Thornquist E, Shapiro ED, Concato J, Aslan M, Krumholz HM. Validity of Using an Electronic Medical Record for Assessing Quality of Care in an Outpatient Setting. Medical Care 2005, 43: 691-698. PMID: 15970784, DOI: 10.1097/01.mlr.0000167185.26058.8e.Peer-Reviewed Original ResearchConceptsElectronic medical recordsManagement of pharyngitisMedical recordsHealth Plan Employer DataDiagnostic testsEpisode of pharyngitisOutpatient electronic medical recordsProportion of episodesDiagnosis of pharyngitisOutpatient settingTotal episodesPharyngitisEmployer DataElectronic databasesDiagnostic testingClinical encountersMeasures of qualityEpisodesComplete evaluationCareAssessing QualityPediatricsYearsProportionDiagnosisDiagnosis, Evaluation, and Treatment of Childhood Obesity in Pediatric Practice
Dorsey KB, Wells C, Krumholz HM, Concato J. Diagnosis, Evaluation, and Treatment of Childhood Obesity in Pediatric Practice. JAMA Pediatrics 2005, 159: 632-638. PMID: 15996996, DOI: 10.1001/archpedi.159.7.632.Peer-Reviewed Original ResearchConceptsBody mass indexRisk of overweightHospital-based clinicsHealth maintenance visitsRate of diagnosisType of treatmentComorbid diseasesMass indexOverweight childrenChildhood obesityMedical recordsTreatment recommendationsHigh burdenPediatric practiceRoutine screeningOverweightClinical practiceMaintenance visitsDiagnosisEncounter notesFormal diagnosisTreatmentChildrenSingle-parent householdsRisk