Cargando…

Distinct Phenotypes of Kidney Transplant Recipients in the United States with Limited Functional Status as Identified through Machine Learning Consensus Clustering

Background: There have been concerns regarding increased perioperative mortality, length of hospital stay, and rates of graft loss in kidney transplant recipients with functional limitations. The application of machine learning consensus clustering approach may provide a novel understanding of uniqu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Thongprayoon, Charat, Jadlowiec, Caroline C., Kaewput, Wisit, Vaitla, Pradeep, Mao, Shennen A., Mao, Michael A., Leeaphorn, Napat, Qureshi, Fawad, Pattharanitima, Pattharawin, Qureshi, Fahad, Acharya, Prakrati C., Nissaisorakarn, Pitchaphon, Cooper, Matthew, Cheungpasitporn, Wisit
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9225038/ https://www.ncbi.nlm.nih.gov/pubmed/35743647 http://dx.doi.org/10.3390/jpm12060859

Ejemplares similares

Distinct Phenotypes of Non-Citizen Kidney Transplant Recipients in the United States by Machine Learning Consensus Clustering
por: Thongprayoon, Charat, et al.
Publicado: (2023)

Machine Learning Consensus Clustering of Morbidly Obese Kidney Transplant Recipients in the United States
por: Thongprayoon, Charat, et al.
Publicado: (2022)

Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering
por: Thongprayoon, Charat, et al.
Publicado: (2023)

Characteristics of Kidney Recipients of High Kidney Donor Profile Index Kidneys as Identified by Machine Learning Consensus Clustering
por: Thongprayoon, Charat, et al.
Publicado: (2022)

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)

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

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)

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)

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)

Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Outcomes of Kidney Transplant Recipients with Sickle Cell Disease: An Analysis of the 2000–2019 UNOS/OPTN Database
por: Leeaphorn, Napat, et al.
Publicado: (2021)

Progress and Recent Advances in Solid Organ Transplantation
por: Thongprayoon, Charat, et al.
Publicado: (2022)

Distinct Subtypes of Hepatorenal Syndrome and Associated Outcomes as Identified by Machine Learning Consensus Clustering
por: Tangpanithandee, Supawit, et al.
Publicado: (2023)

Clinically Distinct Subtypes of Acute Kidney Injury on Hospital Admission Identified by Machine Learning Consensus Clustering
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Recent Advances and Clinical Outcomes of Kidney Transplantation
por: Thongprayoon, Charat, et al.
Publicado: (2020)

Explainable Preoperative Automated Machine Learning Prediction Model for Cardiac Surgery-Associated Acute Kidney Injury
por: Thongprayoon, Charat, et al.
Publicado: (2022)

Subarachnoid Hemorrhage in Hospitalized Renal Transplant Recipients with Autosomal Dominant Polycystic Kidney Disease: A Nationwide Analysis
por: Cheungpasitporn, Wisit, et al.
Publicado: (2019)

Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units
por: Pattharanitima, Pattharawin, et al.
Publicado: (2021)

Impact of Palliative Care Services on Treatment and Resource Utilization for Hepatorenal Syndrome in the United States
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Rituximab or plasmapheresis for prevention of recurrent focal segmental glomerulosclerosis after kidney transplantation: A systematic review and meta-analysis
por: Boonpheng, Boonphiphop, et al.
Publicado: (2021)

Hepatitis E in solid organ transplant recipients: A systematic review and meta-analysis
por: Hansrivijit, Panupong, et al.
Publicado: (2021)

Recent Advances in Understanding of Cardiovascular Diseases in Patients with Chronic Kidney Disease
por: Krisanapan, Pajaree, et al.
Publicado: (2022)

Machine Learning Consensus Clustering of Hospitalized Patients with Admission Hyponatremia
por: Thongprayoon, Charat, et al.
Publicado: (2021)

In-hospital mortality of hepatorenal syndrome in the United States: Nationwide inpatient sample
por: Kaewput, Wisit, et al.
Publicado: (2021)

Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Renal manifestations of hepatitis E among immunocompetent and solid organ transplant recipients
por: Kovvuru, Karthik, et al.
Publicado: (2022)

Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence
por: Krisanapan, Pajaree, et al.
Publicado: (2023)

Incidence and Characteristics of Kidney Stones in Patients on Ketogenic Diet: A Systematic Review and Meta-Analysis
por: Acharya, Prakrati, et al.
Publicado: (2021)

Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis
por: Pattharanitima, Pattharawin, et al.
Publicado: (2021)

Outcomes of kidney transplantation in patients with hepatitis B virus infection: A systematic review and meta-analysis
por: Thongprayoon, Charat, et al.
Publicado: (2018)

Circulatory Shock among Hospitalized Patients for Salicylate Intoxication
por: Petnak, Tananchai, et al.
Publicado: (2021)

Enhancing Kidney Transplant Care through the Integration of Chatbot
por: Garcia Valencia, Oscar A., et al.
Publicado: (2023)

Epidemiology of parvovirus B19 and anemia among kidney transplant recipients: A meta-analysis
por: Thongprayoon, Charat, et al.
Publicado: (2020)

Thrombotic Microangiopathy among Hospitalized Patients with Systemic Lupus Erythematosus in the United States
por: Pivovarova, Aleksandra I., et al.
Publicado: (2020)

Outcomes of Kidney Transplant Patients with Atypical Hemolytic Uremic Syndrome Treated with Eculizumab: A Systematic Review and Meta-Analysis
por: Gonzalez Suarez, Maria L., et al.
Publicado: (2019)

Serum Klotho in Living Kidney Donors and Kidney Transplant Recipients: A Meta-Analysis
por: Thongprayoon, Charat, et al.
Publicado: (2020)

The Use of Donor-Derived Cell-Free DNA for Assessment of Allograft Rejection and Injury Status
por: Thongprayoon, Charat, et al.
Publicado: (2020)

Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation
por: Thongprayoon, Charat, et al.
Publicado: (2020)

Machine Learning Consensus Clustering Approach for Hospitalized Patients with Phosphate Derangements
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Subtyping hospitalized patients with hypokalemia by machine learning consensus clustering and associated mortality risks
por: Thongprayoon, Charat, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0b7vinqs5kef0929ofrirkrulr