2022
A risk model for decline in health status after acute myocardial infarction among older adults
Hajduk A, Dodson J, Murphy T, Chaudhry S. A risk model for decline in health status after acute myocardial infarction among older adults. Journal Of The American Geriatrics Society 2022, 71: 1228-1235. PMID: 36519774, PMCID: PMC10089939, DOI: 10.1111/jgs.18162.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth status declineImportant patient-centered outcomesPatient-centered outcomesMyocardial infarctionStatus declineHealth statusOlder adultsShort Form-12 Physical Component ScorePhysical component scoreProspective cohort studyRisk prediction modelLogistic regression modelsOlder adult survivorsPredictive risk modelRisk modelCohort studyPatient ageValidation cohortC-statisticRisk factorsHigh riskLower riskAdult survivorsHospitalizationRehabilitation Using Mobile Health for Older Adults With Ischemic Heart Disease in the Home Setting (RESILIENT): Protocol for a Randomized Controlled Trial
Dodson JA, Schoenthaler A, Sweeney G, Fonceva A, Pierre A, Whiteson J, George B, Marzo K, Drewes W, Rerisi E, Mathew R, Aljayyousi H, Chaudhry SI, Hajduk AM, Gill TM, Estrin D, Kovell L, Jennings LA, Adhikari S. Rehabilitation Using Mobile Health for Older Adults With Ischemic Heart Disease in the Home Setting (RESILIENT): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022, 11: e32163. PMID: 35238793, PMCID: PMC8931649, DOI: 10.2196/32163.Peer-Reviewed Original ResearchIschemic heart diseaseINTERNATIONAL REGISTERED REPORT IDENTIFIERHeart diseaseOlder adultsCardiac rehabilitationAmbulatory cardiac rehabilitationFuture precision medicine approachesTarget sample sizePrecision medicine approachMobile healthSecondary outcomesControlled TrialsHospital readmissionPrimary outcomeControl armFunctional mobilityAge-specific impairmentClinical trialsEfficacy dataIntervention participantsInternet-based settingHealth statusHealth implementationMedicine approachActivity goals
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
Presentation, 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 status
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 counterparts
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
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 modelsBaselineTrialsStatus
2007
Telemonitoring for Patients With Chronic Heart Failure: A Systematic Review
Chaudhry SI, Phillips CO, Stewart SS, Riegel B, Mattera JA, Jerant AF, Krumholz HM. Telemonitoring for Patients With Chronic Heart Failure: A Systematic Review. Journal Of Cardiac Failure 2007, 13: 56-62. PMID: 17339004, PMCID: PMC1910700, DOI: 10.1016/j.cardfail.2006.09.001.BooksConceptsHeart failure patientsFailure patientsHeart failureHigh-risk heart failure patientsHigh-risk Hispanic populationMonitoring of signsChronic heart failureHeart failure hospitalizationLow-risk patientsDisease managementHigh-quality careFailure hospitalizationNegative studiesSymptom monitoringPatientsHealth statusMEDLINE databaseSystematic reviewQuality carePhysiologic monitoringIntervention typeEvidence baseSimilar effectivenessIntervention costsHispanic population