2021
180-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
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 regression
2019
Acute Kidney Injury Among Older Patients Undergoing Coronary Angiography for Acute Myocardial Infarction: The SILVER-AMI Study
Dodson JA, Hajduk A, Curtis J, Geda M, Krumholz HM, Song X, Tsang S, Blaum C, Miller P, Parikh CR, Chaudhry SI. Acute Kidney Injury Among Older Patients Undergoing Coronary Angiography for Acute Myocardial Infarction: The SILVER-AMI Study. The American Journal Of Medicine 2019, 132: e817-e826. PMID: 31170374, PMCID: PMC6891160, DOI: 10.1016/j.amjmed.2019.05.022.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAcute Kidney InjuryAge FactorsAgedAged, 80 and overCohort StudiesCoronary AngiographyDatabases, FactualFemaleGeriatric AssessmentHospital MortalityHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMyocardial InfarctionOdds RatioPrognosisProportional Hazards ModelsRisk AssessmentSeverity of Illness IndexSurvival AnalysisConceptsAcute kidney injuryAcute myocardial infarctionAge-related conditionsKidney injuryBody mass indexCoronary angiographyRisk factorsMyocardial infarctionOlder patientsMean ageAcute kidney injury risk factorsAcute Myocardial Infarction StudyAcute myocardial infarction cohortOlder adultsGlobal Outcomes criteriaMyocardial Infarction StudyInjury risk factorsParticipants' mean ageSILVER-AMI StudyMultivariable adjustmentComorbid diseasesHeart failureIndependent predictorsGeriatric conditionsMass index
2018
Long-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
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 scoresCareHospitalizationScoresPrehospital Delay in Older Adults with Acute Myocardial Infarction: The ComprehenSIVe Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction Study
Ouellet GM, Geda M, Murphy TE, Tsang S, Tinetti ME, Chaudhry SI. Prehospital Delay in Older Adults with Acute Myocardial Infarction: The ComprehenSIVe Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction Study. Journal Of The American Geriatrics Society 2017, 65: 2391-2396. PMID: 29044463, PMCID: PMC5681402, DOI: 10.1111/jgs.15102.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAcute Myocardial Infarction StudyMyocardial Infarction StudyPrehospital delayOlder adultsOlder patientsHeart failureMyocardial infarctionRisk factorsFuture public health effortsContemporary national cohortMedical record abstractionPublic health effortsCross-sectional analysisAntiischemic therapyHospital presentationIndex hospitalizationHospital delaySymptom durationDiabetes mellitusClinical presentationComorbid conditionsRecord abstractionAtypical symptomsNonwhite raceAssessing 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
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
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 predictionScoresRacial Differences in Heart Failure Outcomes Evidence From the Tele-HF Trial (Telemonitoring to Improve Heart Failure Outcomes)
Qian F, Parzynski CS, Chaudhry SI, Hannan EL, Shaw BA, Spertus JA, Krumholz HM. Racial Differences in Heart Failure Outcomes Evidence From the Tele-HF Trial (Telemonitoring to Improve Heart Failure Outcomes). JACC Heart Failure 2015, 3: 531-538. PMID: 26160368, PMCID: PMC8635169, DOI: 10.1016/j.jchf.2015.03.005.Peer-Reviewed Original ResearchConceptsPatient-reported health statusKansas City Cardiomyopathy QuestionnaireHeart failureBlack patientsHealth statusHF hospitalizationRacial differencesBaseline KCCQ scoresClinical laboratory valuesPatient-reported outcomesSignificant racial differencesKCCQ scoresHF admissionsPatient demographicsWhite patientsLaboratory valuesPropensity score methodsPatientsHospitalizationOutcome evidenceMonthsLinear mixed modelsBaselineTrialsStatusBurden of Comorbidities and Functional and Cognitive Impairments in Elderly Patients at the Initial Diagnosis of Heart Failure and Their Impact on Total Mortality The Cardiovascular Health Study
Murad K, Goff DC, Morgan TM, Burke GL, Bartz TM, Kizer JR, Chaudhry SI, Gottdiener JS, Kitzman DW. Burden of Comorbidities and Functional and Cognitive Impairments in Elderly Patients at the Initial Diagnosis of Heart Failure and Their Impact on Total Mortality The Cardiovascular Health Study. JACC Heart Failure 2015, 3: 542-550. PMID: 26160370, PMCID: PMC4499113, DOI: 10.1016/j.jchf.2015.03.004.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAgedAged, 80 and overAtrial FibrillationCognition DisordersCohort StudiesComorbidityCoronary DiseaseFemaleHeart FailureHumansHypertensionIncidenceLongitudinal StudiesMalePeripheral Arterial DiseasePhysical FitnessPrevalenceProportional Hazards ModelsPulmonary Disease, Chronic ObstructiveConceptsIncident heart failureCardiovascular Health StudyHeart failureGreater mortality riskMortality riskPercent of participantsCognitive impairmentElderly patientsFunctional impairmentDaily livingHealth StudyBurden of comorbiditiesChronic kidney diseaseMultivariable-adjusted modelsTotal mortality riskRelevant comorbiditiesDiabetes mellitusInitial diagnosisCerebrovascular diseaseKidney diseaseMean ageHigh burdenComorbiditiesInstrumental activitiesMortality rateHospital 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
Place 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
2013
Risk Factors for Hospital Admission Among Older Persons With Newly Diagnosed Heart Failure Findings From the Cardiovascular Health Study
Chaudhry SI, McAvay G, Chen S, Whitson H, Newman AB, Krumholz HM, Gill TM. Risk Factors for Hospital Admission Among Older Persons With Newly Diagnosed Heart Failure Findings From the Cardiovascular Health Study. Journal Of The American College Of Cardiology 2013, 61: 635-642. PMID: 23391194, PMCID: PMC3576871, DOI: 10.1016/j.jacc.2012.11.027.Peer-Reviewed Original ResearchConceptsHeart failure diagnosisIndependent risk factorHospital admissionCardiovascular Health StudyHeart failureGeriatric conditionsRisk factorsMuscle weaknessSlow gaitOlder personsHealth StudyNew diagnosisNew York Heart Association functional class IIICommunity-living older personsDepressed ejection fractionHeart Failure FindingsFunctional class IIIChronic kidney diseaseCause hospital admissionsMedical record reviewRelevant clinical dataLong-term riskDiabetes mellitusEjection fractionKidney diseaseCognitive Impairment in Older Adults with Heart Failure: Prevalence, Documentation, and Impact on Outcomes
Dodson JA, Truong TT, Towle VR, Kerins G, Chaudhry SI. Cognitive Impairment in Older Adults with Heart Failure: Prevalence, Documentation, and Impact on Outcomes. The American Journal Of Medicine 2013, 126: 120-126. PMID: 23331439, PMCID: PMC3553506, DOI: 10.1016/j.amjmed.2012.05.029.Peer-Reviewed Original ResearchConceptsHeart failureCognitive impairmentOlder adultsPhysician documentationSevere impairmentCox proportional hazards regressionFolstein Mini-Mental State ExaminationMini-Mental State ExaminationProportion of patientsProspective cohort studyTime of hospitalizationProportional hazards regressionTime of dischargeHospital discharge summariesYears of ageMild cognitive impairmentMultivariable adjustmentCohort studyHospital dischargeHospital readmissionHazards regressionMean agePrimary diagnosisState ExaminationPatientsResults Differ by Applying Distinctive Multiple Imputation Approaches on the Longitudinal Cardiovascular Health Study Data
Ning Y, McAvay G, Chaudhry SI, Arnold AM, Allore HG. Results Differ by Applying Distinctive Multiple Imputation Approaches on the Longitudinal Cardiovascular Health Study Data. Experimental Aging Research 2013, 39: 27-43. PMID: 23316735, PMCID: PMC3547387, DOI: 10.1080/0361073x.2013.741968.Peer-Reviewed Original Research
2012
Geriatric Conditions in Heart Failure
Dodson JA, Chaudhry SI. Geriatric Conditions in Heart Failure. Current Cardiovascular Risk Reports 2012, 6: 404-410. PMID: 23997843, PMCID: PMC3755463, DOI: 10.1007/s12170-012-0259-8.BooksGeriatric conditionsHeart failureHeart failure populationCommon geriatric conditionsTailoring of therapyU.S. population agesFailure populationPopulation agesOlder adultsDisease modelsPatientsSpecific impairmentOutcomesFailureFurther researchComprehensive assessmentTherapyPrevalenceCardiologyGeriatricsImpairmentCare
2011
Impact of Comorbidity on Mortality Among Older Persons with Advanced Heart Failure
Ahluwalia SC, Gross CP, Chaudhry SI, Ning YM, Leo-Summers L, Van Ness PH, Fried TR. Impact of Comorbidity on Mortality Among Older Persons with Advanced Heart Failure. Journal Of General Internal Medicine 2011, 27: 513-519. PMID: 22095572, PMCID: PMC3326095, DOI: 10.1007/s11606-011-1930-3.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChronic DiseaseCohort StudiesComorbidityFemaleHeart DiseasesHeart FailureHip FracturesHospitalizationHumansKaplan-Meier EstimateKidney DiseasesLongitudinal StudiesMaleMedicarePrevalencePrognosisPulmonary Disease, Chronic ObstructiveRetrospective StudiesRisk FactorsUnited StatesConceptsChronic obstructive pulmonary diseaseImpact of comorbiditiesAdvanced heart failureHeart failureHigher mortality riskMortality riskComorbidity burdenHip fractureMyocardial infarctionOlder adultsCount of conditionsOverall comorbidity burdenRetrospective cohort studyContribution of comorbiditiesObstructive pulmonary diseaseProportional hazards regressionLower mortality riskLife-prolonging interventionsHF mortalityHospitalized beneficiariesMost comorbiditiesCohort studyIndividual comorbiditiesPrior hospitalizationPulmonary diseaseRisk Factors for Onset of Disability Among Older Persons Newly Diagnosed With Heart Failure: The Cardiovascular Health Study
Chaudhry SI, McAvay G, Ning Y, Allore HG, Newman AB, Gill TM. Risk Factors for Onset of Disability Among Older Persons Newly Diagnosed With Heart Failure: The Cardiovascular Health Study. Journal Of Cardiac Failure 2011, 17: 764-770. PMID: 21872147, PMCID: PMC3164529, DOI: 10.1016/j.cardfail.2011.04.015.Peer-Reviewed Original ResearchConceptsOnset of disabilityCardiovascular Health StudyHeart failureRisk factorsOlder personsHealth StudyHeart failure populationHeart failure diagnosisTime-dependent predictorsFailure populationGait speedStudy populationDepressive symptomsAnnual examinationsGreater riskDisabilityLongitudinal studyRegression modelingOnsetFirst yearFailureCommon occurrencePopulationPersonsParticipantsChange in Comorbidity Prevalence with Advancing Age Among Persons with Heart Failure
Ahluwalia SC, Gross CP, Chaudhry SI, Leo-Summers L, Van Ness PH, Fried TR. Change in Comorbidity Prevalence with Advancing Age Among Persons with Heart Failure. Journal Of General Internal Medicine 2011, 26: 1145-1151. PMID: 21573881, PMCID: PMC3181289, DOI: 10.1007/s11606-011-1725-6.Peer-Reviewed Original ResearchConceptsHeart failureDiscordant comorbiditiesComorbidity burdenMedicare beneficiariesDiscordant conditionsOlder personsChronic Conditions WarehouseCount of conditionsOverall comorbidity burdenHigher overall burdenOlder Medicare beneficiariesPatterns of comorbidityComorbidity prevalencePrimary illnessPrevalence increasesOverall burdenMedian numberComorbiditiesGreater prevalenceAge strataConcordant conditionsPrevalenceUnrelated conditionsOverall managementOlder beneficiaries