Machine Learning Outperforms Existing Methods to Predict Post-Operative Mortality in Patients Bridged to Heart Transplantation with Temporary Mechanical Circulatory Support
Shou B, Russel J, Ong C, Lewis T, Zhou A, Verma A, Benharash P, Choi C. Machine Learning Outperforms Existing Methods to Predict Post-Operative Mortality in Patients Bridged to Heart Transplantation with Temporary Mechanical Circulatory Support. The Journal Of Heart And Lung Transplantation 2022, 41: s28-s29. DOI: 10.1016/j.healun.2022.01.063.Peer-Reviewed Original ResearchTemporary mechanical circulatory supportPost-operative mortalityMechanical circulatory supportHeart transplantationCirculatory supportPulmonary capillary wedge pressureCapillary wedge pressureCardiac Transplantation (IMPACT) scorePost-transplant mortalityOrgan Sharing databasePre-transplant evaluationTime of transplantConfidence intervalsHigh-risk populationReceiver operator characteristic curveRecipient functional statusRisk scoring methodOperator characteristic curveLarge clinical databaseLogistic regression modelsWedge pressureAdult patientsSerum creatinineMedian ageSharing databaseThe Multiple Roles of the Transplant Psychiatrist
Nichols M, Zimbrean P. The Multiple Roles of the Transplant Psychiatrist. 2022, 199-204. DOI: 10.1007/978-3-031-15052-4_25.ChaptersTransplant psychiatristCommunity mental health providersKidney transplant recipientsPre-transplant evaluationComorbid bipolar disorderSerious psychiatric disordersMental health providersLong-term careTransplant recipientsTransplant candidatesTransplant centersTransplant teamPsychiatric disordersSpecific time pointsHealth providersBipolar disorderClinical casesMedical staffTime pointsTreatment planningPsychiatristsFormal guidelinesDisordersMultiple rolesCare responsibilities
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply