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 survivorsHospitalization
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 predictionScores