2022
Association of Financial Strain With Mortality Among Older US Adults Recovering From an Acute Myocardial Infarction
Falvey JR, Hajduk AM, Keys CR, Chaudhry SI. Association of Financial Strain With Mortality Among Older US Adults Recovering From an Acute Myocardial Infarction. JAMA Internal Medicine 2022, 182: 445-448. PMID: 35188537, PMCID: PMC8861896, DOI: 10.1001/jamainternmed.2021.8569.Peer-Reviewed Original ResearchReply to: “Comment on: Falls in older adults after hospitalization for acute myocardial infarction”
Goldstein DW, Hajduk AM, Song X, Tsang S, Geda M, McClurken JB, Tinetti ME, Krumholz HM, Chaudhry SI. Reply to: “Comment on: Falls in older adults after hospitalization for acute myocardial infarction”. Journal Of The American Geriatrics Society 2022, 70: 1880-1881. PMID: 35332528, PMCID: PMC9177624, DOI: 10.1111/jgs.17742.Peer-Reviewed Original Research
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 ResearchMeSH KeywordsFemaleHospitalizationHumansMaleMyocardial InfarctionPhenotypeRisk FactorsSex CharacteristicsSex FactorsConceptsAcute 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 differencesCliniciansPhenotypePresentation, Treatment, and Outcomes of Older Adults Hospitalized for Acute Myocardial Infarction According to Cognitive Status: The SILVER-AMI Study
Hajduk AM, Saczynski JS, Tsang S, Geda ME, Dodson JA, Ouellet GM, Goldberg RJ, Chaudhry SI. Presentation, Treatment, and Outcomes of Older Adults Hospitalized for Acute Myocardial Infarction According to Cognitive Status: The SILVER-AMI Study. The American Journal Of Medicine 2021, 134: 910-917. PMID: 33737057, PMCID: PMC8243828, DOI: 10.1016/j.amjmed.2021.03.003.Peer-Reviewed Original ResearchConceptsSevere cognitive impairmentAcute myocardial infarctionMyocardial infarctionCognitive impairmentOlder acute myocardial infarction patientsCognitive statusMultivariable-adjusted logistic regressionAcute myocardial infarction patientsOlder adultsRoutine cognitive screeningRisk of readmissionMedical record reviewRisk of deathPost-discharge periodMyocardial infarction patientsMyocardial infarction survivorsSILVER-AMI StudyComorbidity burdenHospital readmissionPoor outcomeRecord reviewFunctional statusInfarction patientsUnadjusted analysesInfarction survivors180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Ouellet G, Sybrant D, Gill TM, Chaudhry SI. 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study. Open Heart 2021, 8: e001442. PMID: 33452007, PMCID: PMC7813425, DOI: 10.1136/openhrt-2020-001442.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission risk modelSelf-reported health statusMyocardial infarctionFunctional mobilityOlder adultsHealth statusDays of AMIFirst diastolic blood pressureChronic obstructive pulmonary diseaseIschemic ECG changesProspective cohort studyDiastolic blood pressureObstructive pulmonary diseaseLength of stayInitial heart rateFinal risk modelSILVER-AMI StudyRisk modelInitial hemoglobinCohort studyReadmission ratesBlood pressureEjection fractionHeart failure
2020
Risk Model for Decline in Activities of Daily Living Among Older Adults Hospitalized With Acute Myocardial Infarction: The SILVER‐AMI Study
Hajduk AM, Dodson JA, Murphy TE, Tsang S, Geda M, Ouellet GM, Gill TM, Brush JE, Chaudhry SI. Risk Model for Decline in Activities of Daily Living Among Older Adults Hospitalized With Acute Myocardial Infarction: The SILVER‐AMI Study. Journal Of The American Heart Association 2020, 9: e015555. PMID: 33000681, PMCID: PMC7792390, DOI: 10.1161/jaha.119.015555.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionDaily living declineSILVER-AMI StudyDaily livingOlder patientsMonths postdischargeMyocardial infarctionFunctional declineImportant patient-centered outcomesPoor long-term outcomesLonger hospital stayLong-term outcomesPatient-centered outcomesGeriatric impairmentsHospital stayAMI survivorsClinical variablesMean ageMedical recordsRisk factorsRestorative therapyPhysical activityAMI hospitalizationPsychosocial factorsUS hospitals
2019
Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study.
Dodson JA, Hajduk AM, Geda M, Krumholz HM, Murphy TE, Tsang S, Tinetti ME, Nanna MG, McNamara R, Gill TM, Chaudhry SI. Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study. Annals Of Internal Medicine 2019, 172: 12-21. PMID: 31816630, PMCID: PMC7695040, DOI: 10.7326/m19-0974.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-AMI mortalityFunctional impairmentOlder adultsCohort studyMean ageMyocardial infarctionPatient-reported health statusNet reclassification improvement indexProspective cohort studyParticipants' mean ageFinal risk modelMobility impairmentsGood discriminatory abilityRisk modelChart reviewHospital dischargePrognostic utilityBlood InstituteClinical variablesNational HeartHigh prevalenceHealth statusMortalityYounger counterpartsSex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction
Nanna MG, Hajduk AM, Krumholz HM, Murphy TE, Dreyer RP, Alexander KP, Geda M, Tsang S, Welty FK, Safdar B, Lakshminarayan DK, Chaudhry SI, Dodson JA. Sex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005691. PMID: 31607145, PMCID: PMC6913190, DOI: 10.1161/circoutcomes.119.005691.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overComorbidityDisability EvaluationFemaleHealth Status DisparitiesHealthcare DisparitiesHumansLife StyleMaleMyocardial RevascularizationNon-ST Elevated Myocardial InfarctionPatient AdmissionPrevalenceProspective StudiesRisk AssessmentRisk FactorsSex FactorsSocial Determinants of HealthST Elevation Myocardial InfarctionTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionSex-based differencesPercutaneous coronary interventionFunctional impairmentOlder adultsHospital complicationsCoronary interventionOlder patientsCoronary diseaseMyocardial infarctionAge-related functional impairmentsAge-associated functional impairmentsLower ratesPrior coronary diseaseObstructive coronary diseaseProspective observational studyNSTEMI subgroupSTEMI subgroupUnderwent revascularizationAcute myocardialChest painClinical presentationAMI subgroupRisk factorsHigh prevalenceThirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort study
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 strategiesPatientsBleedingFrailtyLong-Term Cognitive Decline After Newly Diagnosed Heart Failure
Hammond CA, Blades NJ, Chaudhry SI, Dodson JA, Longstreth WT, Heckbert SR, Psaty BM, Arnold AM, Dublin S, Sitlani CM, Gardin JM, Thielke SM, Nanna MG, Gottesman RF, Newman AB, Thacker EL. Long-Term Cognitive Decline After Newly Diagnosed Heart Failure. Circulation Heart Failure 2018, 11: e004476. PMID: 29523517, PMCID: PMC6072263, DOI: 10.1161/circheartfailure.117.004476.Peer-Reviewed Original ResearchConceptsIncident heart failureHeart failureYears of ageEjection fractionHF diagnosisAtrial fibrillationModified Mini-Mental State Examination scoresCommunity-based prospective cohort studyCognitive declineHistory of HFMini-Mental State Examination scoreLong-term cognitive declineModified Mini-Mental State ExaminationAtrial fibrillation statusComorbid atrial fibrillationMini-Mental State ExaminationProspective cohort studyGlobal cognitive abilityState Examination scoreHospital discharge summariesPublic health implicationsCohort studyClinical strokeCardiovascular healthAdjusted model
2017
Care 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 institutions
2016
Benefit of Warfarin in Older Persons with Atrial Fibrillation
Murphy TE, Chaudhry SI. Benefit of Warfarin in Older Persons with Atrial Fibrillation. Journal Of The American Geriatrics Society 2016, 65: 25-26. PMID: 27858955, DOI: 10.1111/jgs.14580.Peer-Reviewed Original ResearchSlow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry
Dodson JA, Arnold SV, Gosch KL, Gill TM, Spertus JA, Krumholz HM, Rich MW, Chaudhry SI, Forman DE, Masoudi FA, Alexander KP. Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry. Journal Of The American Geriatrics Society 2016, 64: 596-601. PMID: 26926309, PMCID: PMC4803531, DOI: 10.1111/jgs.14016.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSlow gaitHospital readmissionGait speedOlder adultsCox proportional hazards regressionMarker of frailtySlow gait speedTranslational researchProportional hazards regressionOutcomes 1 yearRisk of mortalityAssessment 1 monthBaseline characteristicsObservational cohortClinical factorsDiabetes mellitusHeart failureHazards regressionPrognostic importancePrognostic valueHigh prevalenceInfarctionReadmission
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 schemesRisk Stratification in Older Patients With Acute Myocardial Infarction
Feder SL, Schulman-Green D, Dodson JA, Geda M, Williams K, Nanna MG, Allore HG, Murphy TE, Tinetti ME, Gill TM, Chaudhry SI. Risk Stratification in Older Patients With Acute Myocardial Infarction. Journal Of Aging And Health 2015, 28: 387-402. PMID: 26100619, PMCID: PMC4886275, DOI: 10.1177/0898264315591005.Peer-Reviewed Original ResearchAssociation 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 Research
2014
Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study
Dodson JA, Geda M, Krumholz HM, Lorenze N, Murphy TE, Allore HG, Charpentier P, Tsang SW, Acampora D, Tinetti ME, Gill TM, Chaudhry SI. Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study. BMC Health Services Research 2014, 14: 506. PMID: 25370536, PMCID: PMC4239317, DOI: 10.1186/s12913-014-0506-4.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth status declineOlder patientsRisk factorsGeriatric impairmentsHospital readmissionOlder adultsDetailed medical record abstractionStatus declineDiagnostic study resultsPost-AMI outcomesProportion of patientsProspective cohort studyMedical record abstractionAMI studyHealth status measuresClinical characteristicsCohort studyRecord abstractionAdverse outcomesMyocardial infarctionAcademic hospitalHospital assessmentMultivariable regressionStatus measuresPlace of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point