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
2020
Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm
Smith LB, Desai NR, Dowd B, Everhart A, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm. International Journal Of Health Economics And Management 2020, 20: 299-317. PMID: 32350680, PMCID: PMC7725279, DOI: 10.1007/s10754-020-09282-2.Peer-Reviewed Original ResearchConceptsPermanent atrial fibrillationType 2 diabetesAtrial fibrillationPermanent atrial fibrillation patientsProvider-level factorsAtrial fibrillation patientsEffective new therapiesPrimary care providersUse of medicationsProvider-level characteristicsUtilization of treatmentHigh-quality health careDronedarone useInterrupted time-series regression modelsFibrillation patientsMedication useDiabetes patientsProvider characteristicsCare providersMedicare feeNew therapiesService claimsFemale providersPatientsMedications
2019
Risk of Gastrointestinal Bleeding Increases With Combinations of Antithrombotic Agents and Patient Age
Abraham NS, Noseworthy PA, Inselman J, Herrin J, Yao X, Sangaralingham LR, Cornish G, Ngufor C, Shah ND. Risk of Gastrointestinal Bleeding Increases With Combinations of Antithrombotic Agents and Patient Age. Clinical Gastroenterology And Hepatology 2019, 18: 337-346.e19. PMID: 31108228, PMCID: PMC7386161, DOI: 10.1016/j.cgh.2019.05.017.Peer-Reviewed Original ResearchConceptsGastrointestinal bleedingAntiplatelet monotherapyGIB riskAntiplatelet agentsRisk of GIBCombination antithrombotic therapyDifferent antithrombotic regimensDifferent antithrombotic strategiesDrug exposure categoriesProportion of patientsNationwide claims dataMedicare Advantage enrolleesAntithrombotic regimensBleeding increasesAntithrombotic therapyAntithrombotic strategiesElderly patientsCombination regimensPatient ageCombination therapyPrimary diagnosisAntithrombotic drugsAntithrombotic agentsCardiovascular conditionsRetrospective analysis