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
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
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
2004
Educational disadvantage impairs functional recovery after hospitalization in older persons
Chaudhry SI, Friedkin RJ, Horwitz RI, Inouye SK. Educational disadvantage impairs functional recovery after hospitalization in older persons. The American Journal Of Medicine 2004, 117: 650-656. PMID: 15501202, DOI: 10.1016/j.amjmed.2004.06.026.Peer-Reviewed Original ResearchConceptsPoor functional recoveryImpairs functional recoveryFunctional recoveryLower educationBaseline impairmentOlder personsPoor self-rated healthDaily living scoreImpairment of activitiesSelf-rated healthLow educational levelClinical factorsIndependent predictorsLiving scoreHigh comorbidityDaily livingHospitalizationCognitive impairmentOlder adultsImpairmentPoor recoveryMonthsEducational levelSocial supportSignificant relation