2024
Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes
McCoy R, Swarna K, Deng Y, Herrin J, Ross J, Kent D, Borah B, Crown W, Montori V, Umpierrez G, Galindo R, Brito J, Mickelson M, Polley E. Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes. JACC Advances 2024, 3: 100852. PMID: 38939660, PMCID: PMC11198625, DOI: 10.1016/j.jacadv.2024.100852.Peer-Reviewed Original ResearchType 2 diabetesMedicare fee-for-service planClaims-based prediction modelPopulation risk stratificationRisk of Major Adverse Cardiovascular EventsMajor adverse cardiovascular eventsNon-Hispanic whitesFee-for-service plansStudy cohortClinical trials of cardiovascular diseaseCox proportional hazards modelsProportional hazards modelCare populationHealth systemPrimary preventionMedicare AdvantageParticipant identificationPayer levelPharmacy claimsDecentralized clinical trialsHazards modelCardiovascular diseaseRisk predictionMedicarePatient population
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