Clinical nomogram prediction model to assess the risk of prolonged ICU length of stay in patients with diabetic ketoacidosis: a retrospective analysis based on the MIMIC-IV database

Clinical nomogram prediction model to assess the risk of prolonged ICU length of stay in patients with diabetic ketoacidosis: a retrospective analysis based on the MIMIC-IV database

Abstract Background The duration of hospitalization, especially in the intensive care unit (ICU), for patients with diabetic ketoacidosis (DKA) is influenced by patient prognosis and treatment costs. Reducing ICU length of stay (LOS) in patients with DKA is crucial for optimising healthcare resource...

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Bibliographic Details
Main Authors: Jincun Shi, Fujin Chen, Kaihui Zheng, Tong Su, Xiaobo Wang, Jianhua Wu, Bukao Ni, Yujie Pan
Format: Article
Language:English
Published: BMC 2024-02-01
Series:BMC Anesthesiology
Subjects:
Diabetic ketoacidosis
Intensive care unit
Length of stay
Nomogram prediction model
MIMIC-IV database
Online Access:https://doi.org/10.1186/s12871-024-02467-z

Internet

https://doi.org/10.1186/s12871-024-02467-z

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