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
2019
Usefulness of Social Support in Older Adults After Hospitalization for Acute Myocardial Infarction (from the SILVER-AMI Study)
Green YS, Hajduk AM, Song X, Krumholz HM, Sinha SK, Chaudhry SI. Usefulness of Social Support in Older Adults After Hospitalization for Acute Myocardial Infarction (from the SILVER-AMI Study). The American Journal Of Cardiology 2019, 125: 313-319. PMID: 31787249, PMCID: PMC7003680, DOI: 10.1016/j.amjcard.2019.10.038.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-AMI outcomesMyocardial infarctionIndependent associationMedical Outcomes Study Social Support SurveySocial supportOlder AMI patientsSocial Support SurveyParticipants 75 yearsLow emotional supportLow social supportImportant social determinantInitial hospitalizationOlder patientsDevelopment of interventionsAMI patientsMultivariable analysisMean ageMultivariable regressionHealth outcomesSupport SurveyInformational supportReadmissionSocial determinantsOlder adults
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
2014
National Trends in Recurrent AMI Hospitalizations 1 Year After Acute Myocardial Infarction in Medicare Beneficiaries: 1999–2010
Chaudhry SI, Khan RF, Chen J, Dharmarajan K, Dodson JA, Masoudi FA, Wang Y, Krumholz HM. National Trends in Recurrent AMI Hospitalizations 1 Year After Acute Myocardial Infarction in Medicare Beneficiaries: 1999–2010. Journal Of The American Heart Association 2014, 3: e001197. PMID: 25249298, PMCID: PMC4323804, DOI: 10.1161/jaha.114.001197.Peer-Reviewed Original ResearchPlace 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
2011
Patterns and Predictors of Recovery from Exhaustion in Older Adults: The Cardiovascular Health Study
Whitson HE, Thielke S, Diehr P, O'Hare AM, Chaves PH, Zakai NA, Arnold A, Chaudhry S, Ives D, Newman AB. Patterns and Predictors of Recovery from Exhaustion in Older Adults: The Cardiovascular Health Study. Journal Of The American Geriatrics Society 2011, 59: 207-213. PMID: 21288229, PMCID: PMC3059104, DOI: 10.1111/j.1532-5415.2010.03238.x.Peer-Reviewed Original ResearchConceptsHistory of cancerSelf-rated healthMore medicationsPoor self-rated healthOlder adultsCongestive heart failureHistory of strokeWorse self-rated healthCardiovascular Health StudyPredictors of recoveryProportional hazards modelPersistent exhaustionCohort studyHeart failureMusculoskeletal painHeart diseaseRisk factorsHealth StudyHazards modelAnnual examinationsOverall healthSecondary analysisOlder ageMedicationsTime points
2010
Geriatric Impairments and Disability: The Cardiovascular Health Study
Chaudhry SI, McAvay G, Ning Y, Allore HG, Newman AB, Gill TM. Geriatric Impairments and Disability: The Cardiovascular Health Study. Journal Of The American Geriatrics Society 2010, 58: 1686-1692. PMID: 20863328, PMCID: PMC2946108, DOI: 10.1111/j.1532-5415.2010.03022.x.Peer-Reviewed Original ResearchConceptsCardiovascular Health StudyGeriatric impairmentsHazard ratioADL disabilityChronic diseasesMobility disabilityHealth StudyMore geriatric impairmentsSubsequent ADL disabilitySubsequent functional disabilityMore chronic diseasesBody mass indexOnset of disabilityTime-dependent predictorsSingle multivariable modelFunctional disabilityMass indexNumber of impairmentsMultivariable modelDaily livingPerson examinationMore impairmentElderly personsDiseaseImpairment