Profiling Delirium Progression in Elderly Patients via Continuous-Time Markov Multi-State Transition Models

Profiling Delirium Progression in Elderly Patients via Continuous-Time Markov Multi-State Transition Models

Poor recognition of delirium among hospitalized elderlies is a typical challenge for health care professionals. Considering methodological insufficiency for assessing time-varying diseases, a continuous-time Markov multi-state transition model (CTMMTM) was used to investigate delirium evolution in e...

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Bibliographic Details
Main Authors: Honoria Ocagli, Danila Azzolina, Rozita Soltanmohammadi, Roqaye Aliyari, Daniele Bottigliengo, Aslihan Senturk Acar, Lucia Stivanello, Mario Degan, Ileana Baldi, Giulia Lorenzoni, Dario Gregori
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Journal of Personalized Medicine
Subjects:
Cox model
continuous-time Markov multi-state transition model
4AT scale
delirium
Online Access:https://www.mdpi.com/2075-4426/11/6/445

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