2023
Sex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction
Brush J, Chaudhry S, Dreyer R, D'Onofrio G, Greene E, Hajduk A, Lu Y, Krumholz H. Sex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction. The American Journal Of Cardiology 2023, 197: 101-107. PMID: 37062667, PMCID: PMC10198892, DOI: 10.1016/j.amjcard.2023.03.009.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionD2B timeSymptom complexityYoung womenChest painBalloon timeST-elevation myocardial infarctionSILVER-AMI StudySymptom phenotypeSex differencesPain symptomsCoronary interventionOlder patientsMyocardial infarctionOlder womenSTEMIOlder menSymptom patternsPresentation delayPatientsSymptom clustersLogistic regressionSymptomsWomenMean number
2022
Associations between hospitalist physician workload, length of stay, and return to the hospital
Djulbegovic M, Chen K, Cohen AB, Heacock D, Canavan M, Cushing W, Agarwal R, Simonov M, Chaudhry SI. Associations between hospitalist physician workload, length of stay, and return to the hospital. Journal Of Hospital Medicine 2022, 17: 445-455. PMID: 35662410, PMCID: PMC9248905, DOI: 10.1002/jhm.12847.Peer-Reviewed Original ResearchConceptsLength of stayEmergency departmentPhysician workloadYale-New Haven HospitalMedian patient ageSeverity of illnessElectronic health record dataNumber of patientsHealth record dataWeekend admissionHospital daysPatient ageClinical outcomesObservational studyHospitalist serviceMAIN OUTCOMEPatient complexityHospitalist workloadSociodemographic factorsPatient encountersPatientsLogistic regressionMultilevel PoissonRecord dataOutcomes
2021
Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction
Brush JE, Hajduk AM, Greene EJ, Dreyer RP, Krumholz HM, Chaudhry SI. Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction. The American Journal Of Medicine 2021, 135: 342-349. PMID: 34715061, PMCID: PMC8901454, DOI: 10.1016/j.amjmed.2021.09.022.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSymptom combinationsOlder patientsAcute myocardial infarction subgroupsAcute myocardial infarction admissionsMyocardial infarction subgroupsPatients 75 yearsMyocardial infarction admissionsSILVER-AMI StudySymptom phenotypeClinical studiesIndividual patientsMore symptomsPatientsInfarctionDiagnostic possibilitiesSymptomsWomenPerson interviewsMenCommon phenotypeSex differencesCliniciansPhenotypeFailure Mode and Effect Analysis: Engineering Safer Neurocritical Care Transitions
Chilakamarri P, Finn EB, Sather J, Sheth KN, Matouk C, Parwani V, Ulrich A, Davis M, Pham L, Chaudhry SI, Venkatesh AK. Failure Mode and Effect Analysis: Engineering Safer Neurocritical Care Transitions. Neurocritical Care 2021, 35: 232-240. PMID: 33403581, PMCID: PMC8255326, DOI: 10.1007/s12028-020-01160-6.Peer-Reviewed Original ResearchConceptsPatient safetyInter-hospital transferEmergency department throughputIntracerebral hemorrhageAcute careSubarachnoid hemorrhageNeurocritical careCare transitionsMulti-disciplinary teamPatient transferHemorrhageSignificant reductionInterventionCareHazard analysisOutcomesRiskSafetyMultiple providersSpecific use-case examplesEvidence of successPatientsStrokeMethodsWe
2020
The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure
Feder SL, Tate J, Ersek M, Krishnan S, Chaudhry SI, Bastian LA, Rolnick J, Kutney-Lee A, Akgün KM. The Association Between Hospital End-of-Life Care Quality and the Care Received Among Patients With Heart Failure. Journal Of Pain And Symptom Management 2020, 61: 713-722.e1. PMID: 32931904, PMCID: PMC7952458, DOI: 10.1016/j.jpainsymman.2020.09.006.Peer-Reviewed Original ResearchConceptsHeart failure patientsPalliative care consultationVeterans Health AdministrationLife care qualityFailure patientsHeart failureCare consultationsHighest quintileVA hospitalsIntensive care unit deathCare qualityIntensive care unitHealth care systemCare unitInpatient hospiceMean ageLowest quintileHospital endRetrospective analysisHOSPITAL scorePatientsHealth AdministrationCare processesHospitalLogistic regressionPresentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study
Gupta A, Tsang S, Hajduk A, Krumholz HM, Nanna MG, Green P, Dodson JA, Chaudhry SI. Presentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study. The American Journal Of Medicine 2020, 134: 95-103. PMID: 32805225, PMCID: PMC7752813, DOI: 10.1016/j.amjmed.2020.07.020.Peer-Reviewed Original ResearchConceptsOldest-old patientsMyocardial infarctionFunctional impairmentOlder patientsMobility impairmentsCox proportional hazards regressionMiddle-old patientsProportional hazards regressionAcute myocardial infarctionCase fatality rateAcute myocardial infarction hospitalizationsSILVER-AMI StudyYears of ageMyocardial infarction hospitalizationsChest painCoronary revascularizationAtypical presentationHazards regressionClinical variablesRisk factorsAdvanced agePrimary symptomsPatientsFatality rateHealth statusOrganisational factors underpinning intra-hospital transfers: a guide for evaluating context in quality improvement
Fekieta R, Rosenberg A, Hodshon B, Feder S, Chaudhry SI, Emerson BL. Organisational factors underpinning intra-hospital transfers: a guide for evaluating context in quality improvement. Health Systems 2020, 10: 239-248. PMID: 34745587, PMCID: PMC8567872, DOI: 10.1080/20476965.2020.1768807.Peer-Reviewed Original ResearchIntra-hospital transferMedical intensive care unitTertiary medical centerIntensive care unitGeneral medicine unitsTransitions of careQuality improvement effortsCare unitEmergency departmentMedicine unitMultiple cliniciansMedical CenterHospital capacityHospital prioritiesApplication of protocolsOrganisational factorsCliniciansImprovement effortsSemi-structured interviewsQualitative assessmentPatientsUndesirable outcomesFactorsPatient and Cardiologist Perspectives on Shared Decision Making in the Treatment of Older Adults Hospitalized for Acute Myocardial Infarction
Grant EV, Summapund J, Matlock DD, Dickson V, Iqbal S, Patel S, Katz SD, Chaudhry SI, Dodson JA. Patient and Cardiologist Perspectives on Shared Decision Making in the Treatment of Older Adults Hospitalized for Acute Myocardial Infarction. Medical Decision Making 2020, 40: 279-288. PMID: 32428431, PMCID: PMC8684600, DOI: 10.1177/0272989x20912293.Peer-Reviewed Original ResearchConceptsST-elevated myocardial infarctionAcute myocardial infarctionMyocardial infarctionOlder adultsCardiologist's perspectiveOlder patientsSetting of AMIElevated myocardial infarctionPatient-specific riskConcept of SDMCardiologists' perceptionsMajor contraindicationPatient ageSuch patientsInterventional therapyFunctional limitationsInvasive proceduresPatientsInfarctionCognitive impairmentCardiologistsAdultsRiskConstant comparative methodTeam-based processComorbid vision and cognitive impairments in older adults hospitalized for acute myocardial infarction
Whitson HE, Hajduk AM, Song X, Geda M, Tsang S, Brush J, Chaudhry SI. Comorbid vision and cognitive impairments in older adults hospitalized for acute myocardial infarction. Journal Of Multimorbidity And Comorbidity 2020, 10: 2235042x20940493. PMID: 32728552, PMCID: PMC7366400, DOI: 10.1177/2235042x20940493.Peer-Reviewed Original ResearchAcute myocardial infarctionCognitive impairmentVision impairmentAMI patientsMyocardial infarctionOlder AMI patientsProspective cohort studyComorbid cognitive impairmentCognitive status scoresAMI presentationOlder patientsADL declineCohort studyGeriatric syndromesStatus scoreDaily livingAdjusted modelPatientsVision statusCI groupTelephone interviewsOlder adultsImpairmentInfarctionHigh rate
2019
Characterizing Patient‐Centered Postoperative Recovery After Adult Cardiac Surgery: A Systematic Review
Mori M, Angraal S, Chaudhry SI, Suter LG, Geirsson A, Wallach JD, Krumholz HM. Characterizing Patient‐Centered Postoperative Recovery After Adult Cardiac Surgery: A Systematic Review. Journal Of The American Heart Association 2019, 8: e013546. PMID: 31617435, PMCID: PMC6898802, DOI: 10.1161/jaha.119.013546.Peer-Reviewed Original ResearchConceptsPatient-reported outcome measuresPostoperative patient-reported outcome measuresAdult cardiac surgeryPostoperative recoveryOutcome measuresCardiac surgerySystematic reviewCoronary artery bypass graftSingle-center settingArtery bypass graftQuality of evidenceWeb of ScienceNociceptive symptomsDiversity of patientsLess comorbidityAdult patientsBypass graftPhysical functionPostacute careElective casesInclusion criteriaDaily livingPatientsStudy participantsCognitive function
2018
The Association of Frailty With In-Hospital Bleeding Among Older Adults With Acute Myocardial Infarction Insights From the ACTION Registry
Dodson JA, Hochman JS, Roe MT, Chen AY, Chaudhry SI, Katz S, Zhong H, Radford MJ, Udell J, Bagai A, Fonarow GC, Gulati M, Enriquez JR, Garratt KN, Alexander KP. The Association of Frailty With In-Hospital Bleeding Among Older Adults With Acute Myocardial Infarction Insights From the ACTION Registry. JACC Cardiovascular Interventions 2018, 11: 2287-2296. PMID: 30466828, PMCID: PMC6260951, DOI: 10.1016/j.jcin.2018.08.028.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAgedAged, 80 and overCardiac CatheterizationCognitionFemaleFrail ElderlyFrailtyGeriatric AssessmentHemorrhageHumansInpatientsMaleMobility LimitationMyocardial InfarctionPatient AdmissionPercutaneous Coronary InterventionRegistriesRisk AssessmentRisk FactorsTreatment OutcomeUnited StatesWalkingConceptsAssociation of frailtyAcute myocardial infarctionFrail patientsMajor bleedingCardiac catheterizationAMI patientsACTION RegistryAcute Myocardial Infarction—InsightsOlder adultsCategories of frailtyIn-Hospital BleedingNon-frail groupMultivariable logistic regressionYears of ageFrailty categoriesNonfrail patientsMyocardial infarctionIndependent associationCommon syndromeDaily livingHigh riskClinical strategiesPatientsBleedingFrailtyImpact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services
Silvestri MT, Xu X, Long T, Bongiovanni T, Bernstein SL, Chaudhry SI, Silvestri JI, Stolar M, Greene EJ, Dziura JD, Gross CP, Krumholz HM. Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services. Journal Of General Internal Medicine 2018, 33: 1268-1275. PMID: 29845468, PMCID: PMC6082197, DOI: 10.1007/s11606-018-4495-6.Peer-Reviewed Original ResearchConceptsDecreased oddsImaging ordersHealth care servicesBehalf of patientsKey ResultsDuringMain MeasuresOutcomesParticipantsAll patientsHospital encountersImaging testsObservation encountersCare servicesHealth servicesMedicare fee scheduleHealth systemImaging costsDecreased numberHospital laboratoriesLab ordersStudy periodHospital labPatientsA taxonomy and cultural analysis of intra‐hospital patient transfers
Rosenberg A, Britton M, Feder S, Minges K, Hodshon B, Chaudhry SI, Jenq GY, Emerson BL. A taxonomy and cultural analysis of intra‐hospital patient transfers. Research In Nursing & Health 2018, 41: 378-388. PMID: 29722043, PMCID: PMC8459627, DOI: 10.1002/nur.21875.Peer-Reviewed Original ResearchPatient transferMedical intensive care unitGeneral medicine floorsTertiary medical centerIntensive care unitIntra-hospital transferIntra-hospital patient transfersMedicine floorCare unitEmergency departmentPatient transitionsMedical CenterPatient assignmentRight floorHospital departmentsObservations of staffCategories of activitiesHospital culturePatientsStaffEmpty bedsDepartmentHospital
2017
Impact of Telemonitoring on Health Status
Jayaram NM, Khariton Y, Krumholz HM, Chaudhry SI, Mattera J, Tang F, Herrin J, Hodshon B, Spertus JA. Impact of Telemonitoring on Health Status. Circulation Cardiovascular Quality And Outcomes 2017, 10: e004148. PMID: 29237746, PMCID: PMC5776725, DOI: 10.1161/circoutcomes.117.004148.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireUsual careHealth statusHeart failureKCCQ overall summary scoreRecent heart failure hospitalizationDisease-specific health statusKCCQ overall summaryHeart failure hospitalizationWeeks of dischargeRandomized clinical trialsOverall summary scoreKCCQ scoresNoninvasive TelemonitoringFailure hospitalizationBaseline characteristicsSecondary outcomesTreatment armsClinical trialsSummary scoresPatientsSubscale scoresCareHospitalizationScores“They Need to Have an Understanding of Why They're Coming Here and What the Outcomes Might Be.” Clinician Perspectives on Goals of Care for Patients Discharged From Hospitals to Skilled Nursing Facilities
Feder SL, Britton M, Chaudhry SI. “They Need to Have an Understanding of Why They're Coming Here and What the Outcomes Might Be.” Clinician Perspectives on Goals of Care for Patients Discharged From Hospitals to Skilled Nursing Facilities. Journal Of Pain And Symptom Management 2017, 55: 930-937. PMID: 29097273, DOI: 10.1016/j.jpainsymman.2017.10.013.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelContinuity of Patient CareFamilyHealth CommunicationHealth Knowledge, Attitudes, PracticeHospital AdministratorsHumansInterviews as TopicNursesPatient Care PlanningPatient DischargePhysiciansProfessional-Patient RelationsQualitative ResearchSkilled Nursing FacilitiesSocial WorkersConceptsSkilled nursing facilitiesAcute care hospitalsSNF careHospital readmissionCare hospitalHospitalized patientsClinician's perspectiveNursing facilitiesUnplanned hospital readmissionGoals of careNumber of patientsExperience poor outcomesPoor patient outcomesGOC conversationsSNF cliniciansUnrealistic patientPoor outcomeGOC discussionsTreatment optionsPatient goalsPatient outcomesCare continuumPatient dissatisfactionDisease processPatientsCare Transitions Between Hospitals and Skilled Nursing Facilities: Perspectives of Sending and Receiving Providers
Britton MC, Ouellet GM, Minges KE, Gawel M, Hodshon B, Chaudhry SI. Care Transitions Between Hospitals and Skilled Nursing Facilities: Perspectives of Sending and Receiving Providers. The Joint Commission Journal On Quality And Patient Safety 2017, 43: 565-572. PMID: 29056176, PMCID: PMC5693352, DOI: 10.1016/j.jcjq.2017.06.004.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAttitude of Health PersonnelCommunicationHospital AdministrationHumansInsurance, Health, ReimbursementInterviews as TopicPatient DischargePatient ReadmissionPatient TransferQualitative ResearchQuality ImprovementRisk FactorsSeverity of Illness IndexSkilled Nursing FacilitiesUnited StatesConceptsSkilled nursing facilitiesCare transitionsNursing facilitiesSNF providersPatient-level risk factorsOptimal care settingAcute medical illnessUnplanned hospital readmissionComprehensive care planCost of careHospital readmissionMedical illnessComplex patientsRisk factorsMedicare patientsCare settingsCare plansPatient complexityHealth care institutionsPatient transferPsychosocial issuesHospitalPatientsSeparate hospitalsCare institutionsAssessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring
Steventon A, Chaudhry SI, Lin Z, Mattera JA, Krumholz HM. Assessing the reliability of self-reported weight for the management of heart failure: application of fraud detection methods to a randomised trial of telemonitoring. BMC Medical Informatics And Decision Making 2017, 17: 43. PMID: 28420352, PMCID: PMC5395848, DOI: 10.1186/s12911-017-0426-4.Peer-Reviewed Original ResearchConceptsEnd-digit preferenceHeart failureHeart Failure Outcomes trialEffective preventive careCharacteristics of patientsSelf-reported weightHealth care professionalsSix-month trial periodIntervention patientsMore medicationsAccuracy of reportingOutcome trialsTrial enrollmentPreventive careClinical managementUnnecessary treatmentDesign of initiativesCare professionalsPatientsRegistration numberAlert fatigueElectronic medical dataTrial periodTrialsNumber of days
2016
“Deterioration to Door Time”: An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients
Sankey CB, McAvay G, Siner JM, Barsky CL, Chaudhry SI. “Deterioration to Door Time”: An Exploratory Analysis of Delays in Escalation of Care for Hospitalized Patients. Journal Of General Internal Medicine 2016, 31: 895-900. PMID: 26969311, PMCID: PMC4945556, DOI: 10.1007/s11606-016-3654-x.Peer-Reviewed Original ResearchConceptsMedical intensive care unitEscalation of careIntensive care unitClinical deteriorationCare escalationHospitalized patientsCare unitDoor timeInpatient medicineRetrospective cohort studySeverity of illnessRisk of deathAcademic medical centerHospital mortalityICU transferCohort studyInpatient floorInpatient settingMedical CenterGeneral floorPatientsCareMortalityCurrent eraPrevious studies
2015
Do 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 predictionScoresThe Variation in Recovery
Spatz ES, Curry LA, Masoudi FA, Zhou S, Strait KM, Gross CP, Curtis JP, Lansky AJ, Soares Barreto-Filho JA, Lampropulos JF, Bueno H, Chaudhry SI, D'Onofrio G, Safdar B, Dreyer RP, Murugiah K, Spertus JA, Krumholz HM. The Variation in Recovery. Circulation 2015, 132: 1710-1718. PMID: 26350057, PMCID: PMC4858327, DOI: 10.1161/circulationaha.115.016502.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAlgorithmsAortic DissectionClassificationCoronary DiseaseDiagnostic Techniques, CardiovascularFemaleHumansMaleMedical RecordsMiddle AgedMyocardial InfarctionMyocardiumOxygen ConsumptionPhenotypePlaque, AtheroscleroticProspective StudiesReproducibility of ResultsRisk FactorsSex FactorsTreatment OutcomeYoung AdultConceptsAcute myocardial infarctionCoronary artery diseaseArtery diseaseClinical phenotypeNonobstructive coronary artery diseaseYoung AMI Patients (VIRGO) studyObstructive coronary artery diseaseYoung womenType 2 acute myocardial infarctionBiological disease mechanismsSubset of patientsThird universal definitionUnique clinical phenotypeCulprit lesionClinical characteristicsMyocardial infarctionTherapeutic efficacyUniversal definitionStudy participantsPatientsSupply-demand mismatchYoung adultsDisease mechanismsPatient studiesCurrent classification schemes