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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Päätekijät:	Jincun Shi, Fujin Chen, Kaihui Zheng, Tong Su, Xiaobo Wang, Jianhua Wu, Bukao Ni, Yujie Pan
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	BMC 2024-02-01
Sarja:	BMC Anesthesiology
Aiheet:	Diabetic ketoacidosis Intensive care unit Length of stay Nomogram prediction model MIMIC-IV database
Linkit:	https://doi.org/10.1186/s12871-024-02467-z
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