Featured Publications
Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment
Herrin J, Abraham NS, Yao X, Noseworthy PA, Inselman J, Shah ND, Ngufor C. Comparative Effectiveness of Machine Learning Approaches for Predicting Gastrointestinal Bleeds in Patients Receiving Antithrombotic Treatment. JAMA Network Open 2021, 4: e2110703. PMID: 34019087, PMCID: PMC8140376, DOI: 10.1001/jamanetworkopen.2021.10703.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAnticoagulantsAntifibrinolytic AgentsAtrial FibrillationClinical Decision-MakingCohort StudiesCross-Sectional StudiesFemaleFibrinolytic AgentsGastrointestinal HemorrhageHumansMachine LearningMaleMiddle AgedMyocardial IschemiaPredictive Value of TestsRetrospective StudiesRisk AssessmentThienopyridinesUnited StatesVenous ThromboembolismYoung AdultConceptsGastrointestinal bleedingIschemic heart diseaseCross-sectional studyThienopyridine antiplatelet agentAntithrombotic treatmentVenous thromboembolismAntiplatelet agentsRandom survival forestStudy cohortAtrial fibrillationValidation cohortHeart diseaseHAS-BLED risk scoreRetrospective cross-sectional studyCox proportional hazards regressionHAS-BLED scorePrior GI bleedPatients 18 yearsCohort of patientsEntire study cohortProportional hazards regressionOptumLabs Data WarehouseMedicare Advantage enrolleesPositive predictive valueRisk prediction model
2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohort
2014
Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial
Anderson RT, Montori VM, Shah ND, Ting HH, Pencille LJ, Demers M, Kline JA, Diercks DB, Hollander JE, Torres CA, Schaffer JT, Herrin J, Branda M, Leblanc A, Hess EP. Effectiveness of the Chest Pain Choice decision aid in emergency department patients with low-risk chest pain: study protocol for a multicenter randomized trial. Trials 2014, 15: 166. PMID: 24884807, PMCID: PMC4031497, DOI: 10.1186/1745-6215-15-166.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAngina, UnstableCardiology Service, HospitalClinical ProtocolsCommunicationConflict, PsychologicalDecision Support TechniquesEmergency Service, HospitalHealth Knowledge, Attitudes, PracticeHealth ResourcesHumansMyocardial InfarctionPatient Education as TopicPhysician-Patient RelationsPredictive Value of TestsPrognosisResearch DesignRisk AssessmentRisk FactorsSurveys and QuestionnairesTime FactorsUnited StatesVideo RecordingConceptsAdvanced cardiac testingAcute coronary syndromeDiverse emergency departmentsEmergency departmentCardiac testingHealthcare utilizationLow-risk chest pain patientsLow-risk chest painMajor adverse cardiac eventsMethods/designThisAdverse cardiac eventsLow-risk patientsProportion of patientsChest pain patientsCommon reason patientsEmergency department patientsPatient-clinician discussionsHospital billing recordsPatient-centered outcomesElectronic medical recordsAvailable management optionsDecision aidChest painCoronary syndromeUsual care