Distinct phenotypes of kidney transplant recipients aged 80 years or older in the USA by machine learning consensus clustering

OBJECTIVES: This study aimed to identify distinct clusters of very elderly kidney transplant recipients aged ≥80 and assess clinical outcomes among these unique clusters. DESIGN: Cohort study with machine learning (ML) consensus clustering approach. SETTING AND PARTICIPANTS: All very elderly (age ≥8...

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Detalles Bibliográficos
Autores principales: Thongprayoon, Charat, Jadlowiec, Caroline C, Mao, Shennen A, Mao, Michael A, Leeaphorn, Napat, Kaewput, Wisit, Pattharanitima, Pattharawin, Nissaisorakarn, Pitchaphon, Cooper, Matthew, Cheungpasitporn, Wisit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944353/
https://www.ncbi.nlm.nih.gov/pubmed/36843871
http://dx.doi.org/10.1136/bmjsit-2022-000137

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9944353/
https://www.ncbi.nlm.nih.gov/pubmed/36843871
http://dx.doi.org/10.1136/bmjsit-2022-000137

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