Cargando…

Identifying Modifiable Predictors of Long‐Term Survival in Liver Transplant Recipients With Diabetes Mellitus Using Machine Learning

Diabetes mellitus (DM) significantly impacts long‐term survival after liver transplantation (LT). We identified survival factors for LT recipients who had DM to inform preventive care using machine‐learning analysis. We analyzed risk factors for mortality in patients from across the United States us...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yasodhara, Angeline, Dong, Victor, Azhie, Amirhossein, Goldenberg, Anna, Bhat, Mamatha
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2021
Materias:	Original Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248095/ https://www.ncbi.nlm.nih.gov/pubmed/33113221 http://dx.doi.org/10.1002/lt.25930

Ejemplares similares

Transcriptomic changes in liver transplant recipients with non-alcoholic steatohepatitis indicate dysregulation of wound healing
por: Pellegrina, Diogo, et al.
Publicado: (2023)

Predictors of patient survival following liver transplant in non-alcoholic steatohepatitis: A systematic review and meta-analysis
por: Minich, Adam, et al.
Publicado: (2022)

Development of a Radiomics-Based Model to Predict Graft Fibrosis in Liver Transplant Recipients: A Pilot Study
por: Qazi Arisar, Fakhar Ali, et al.
Publicado: (2023)

The promise of machine learning applications in solid organ transplantation
por: Gotlieb, Neta, et al.
Publicado: (2022)

Achieving tolerance modifies cancer susceptibility profiles in liver transplant recipients
por: Bhat, Mamatha, et al.
Publicado: (2022)

Incidence and Predictors of Advanced Liver Fibrosis by a Validated Serum Biomarker in Liver Transplant Recipients
por: Bhat, Mamatha, et al.
Publicado: (2017)

Combined proteomic/transcriptomic signature of recurrence post-liver transplantation for hepatocellular carcinoma beyond Milan
por: Bhat, Mamatha, et al.
Publicado: (2021)

Feasibility of a Home-Based Exercise Program for Managing Posttransplant Metabolic Syndrome in Lung and Liver Transplant Recipients: Protocol for a Pilot Randomized Controlled Trial
por: Rozenberg, Dmitry, et al.
Publicado: (2022)

Impact of immunosuppression on incidence of post-transplant diabetes mellitus in solid organ transplant recipients: Systematic review and meta-analysis
por: Kotha, Sreelakshmi, et al.
Publicado: (2021)

Use of machine learning models for identification of predictors of survival and tumour recurrence in liver transplant recipients with hepatocellular carcinoma
por: Bezjak, Miran, et al.
Publicado: (2023)

Divergent trajectories of lean vs obese non-alcoholic steatohepatitis patients from listing to post-transplant: A retrospective cohort study
por: Qazi-Arisar, Fakhar Ali, et al.
Publicado: (2022)

Impact of Post-Transplant Diabetes Mellitus on Survival and Cardiovascular Events in Kidney Transplant Recipients
por: Jeon, Ja Young, et al.
Publicado: (2023)

Differences between Kidney Transplant Recipients from Deceased Donors with Diabetes Mellitus as Identified by Machine Learning Consensus Clustering
por: Thongprayoon, Charat, et al.
Publicado: (2023)

Liver Enzymes and the Development of Posttransplantation Diabetes Mellitus in Renal Transplant Recipients
por: Klaassen, Gerald, et al.
Publicado: (2017)

Alcoholic liver disease is a strong predictor of colorectal polyps in liver transplant recipients
por: Ma, Ann T., et al.
Publicado: (2017)

Pregnancy Weight Gain as a Predictor of Fetal Wellbeing in Liver Transplant Recipients
por: Dąbrowski, Filip A., et al.
Publicado: (2020)

Predictors of success of immediate tracheal extubation in living donor liver transplantation recipients()
por: Ibrahim, Douaa G.M., et al.
Publicado: (2021)

Recipient Age Predicts 20-Year Survival in Pediatric Liver Transplant
por: Keeling, Stephanie, et al.
Publicado: (2022)

Factors Having an Impact on Relapse and Survival in Transplant Recipients With Alcohol-Induced Liver Disease
por: Schneekloth, Terry D., et al.
Publicado: (2021)

Normothermic Machine Perfusion—Improving the Supply of Transplantable Livers for High-Risk Recipients
por: Hann, Angus, et al.
Publicado: (2022)

Differences between Very Highly Sensitized Kidney Transplant Recipients as Identified by Machine Learning Consensus Clustering
por: Thongprayoon, Charat, et al.
Publicado: (2023)

Spectrum of De Novo Cancers and Predictors in Liver Transplantation: Analysis of the Scientific Registry of Transplant Recipients Database
por: Zhou, Jie, et al.
Publicado: (2016)

Abstract 132: Incidence and predictors of new onset diabetes after transplant (NODAT) in liver transplant recipients
por: Sheth, Kaushal V, et al.
Publicado: (2022)

PSUN228 Incidence and Predictors of New Onset Diabetes After Transplant (NODAT) in Liver Transplant recipients.
por: Sheth, Kaushal, et al.
Publicado: (2022)

Using time-varying models to estimate post-transplant survival in pediatric liver transplant recipients
por: Bryce, Cindy L., et al.
Publicado: (2018)

Utility of Metabolomic Biomarkers to Identify Nonalcoholic Fatty Liver Disease in Liver Transplant Recipients
por: Mowry, Christopher J., et al.
Publicado: (2021)

Predictors of postoperative infectious complications in liver transplant recipients: experience of 185 consecutive cases
por: Lim, Seungjin, et al.
Publicado: (2018)

Multiview Clustering to Identify Novel Kidney Donor Phenotypes for Assessing Graft Survival in Older Transplant Recipients
por: Raza Abidi, Syed Sibte, et al.
Publicado: (2023)

Performance of transient elastography and serum fibrosis biomarkers for non-invasive evaluation of recurrent fibrosis after liver transplantation: A meta-analysis
por: Bhat, Mamatha, et al.
Publicado: (2017)

Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
por: Guijo-Rubio, David, et al.
Publicado: (2021)

Clinical Phenotypes of Dual Kidney Transplant Recipients in the United States as Identified through Machine Learning Consensus Clustering
por: Tangpanithandee, Supawit, et al.
Publicado: (2022)

Use of Machine Learning Consensus Clustering to Identify Distinct Subtypes of Kidney Transplant Recipients With DGF and Associated Outcomes
por: Jadlowiec, Caroline C., et al.
Publicado: (2022)

Characteristics of Kidney Transplant Recipients with Prolonged Pre-Transplant Dialysis Duration as Identified by Machine Learning Consensus Clustering: Pathway to Personalized Care
por: Thongprayoon, Charat, et al.
Publicado: (2023)

Identify Survival Predictors of the First Kidney Transplantation: A Retrospective Cohort Study
por: SOLTANIAN, Ali-Reza, et al.
Publicado: (2015)

Hyperhomocysteinaemia in liver transplant recipients
por: Nkansa-Dwamema, David, et al.
Publicado: (2004)

Outcome of renal transplant recipients and graft survival in the ICU
por: Nicolet, L, et al.
Publicado: (2001)

Melanoma risk and survival among organ transplant recipients
por: Robbins, Hilary A., et al.
Publicado: (2015)

Multi-State Survival Analysis in Renal Transplantation Recipients
por: MIRZAEE, Moghaddameh, et al.
Publicado: (2014)

A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study
por: Yoo, Kyung Don, et al.
Publicado: (2017)

Modified combined radiotherapy for cervical cancer in kidney transplant recipient
por: P. Matylevich, Olga, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_58vrib3229pgosaht6v4q43h0u