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
Sex-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 strategiesPatientsBleedingFrailty
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 predictionScoresSymptom Burden Among Patients Who Were Hospitalized for Heart Failure
Khan RF, Feder S, Goldstein NE, Chaudhry SI. Symptom Burden Among Patients Who Were Hospitalized for Heart Failure. JAMA Internal Medicine 2015, 175: 1713-1715. PMID: 26280896, DOI: 10.1001/jamainternmed.2015.3871.Peer-Reviewed Original ResearchThe 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 schemes
2007
Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design
Chaudhry SI, Barton B, Mattera J, Spertus J, Krumholz HM. Randomized Trial of Telemonitoring to Improve Heart Failure Outcomes (Tele-HF): Study Design. Journal Of Cardiac Failure 2007, 13: 709-714. PMID: 17996818, PMCID: PMC2702538, DOI: 10.1016/j.cardfail.2007.06.720.Peer-Reviewed Case Reports and Technical NotesConceptsHeart failure outcomesHeart failureClinical statusFailure outcomesDecompensated heart failureHeart failure decompensationCare of patientsPrimary care practicesSelf-reported weightUsual careHospital readmissionDaily symptomsRandomized trialsGeneral cardiologyPatient participationHealth behaviorsCare practicesPatientsFrequent monitoringFavorable effectInterventionOutcomesSymptomsTrialsCare