A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

This model, incorporating readily available biomarkers and clinical history, effectively predicts DT risk. Limitations include its retrospective design (potential selection bias) and exclusion of clinical scales (e.g., CIWA-Ar). Prospective multicenter studies are needed to validate its generalizability.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2026-02-27
DOI
https://doi.org/10.3389/fpsyt.2026.1712870
Primary Topic
Alcoholism and Thiamine Deficiency
Type
article
Field-Weighted Citation Impact
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article

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Zhong Jing, Xudong Yao, Xiaoyu Huang
Frontiers in Psychiatry
Alcoholism and Thiamine Deficiency
article

A clinical prediction model for delirium tremens: development and validation in alcohol-dependent patients using multivariable logistic regression

Zhong Jing, Xudong Yao, Xiaoyu Huang
article en

Abstract

This model, incorporating readily available biomarkers and clinical history, effectively predicts DT risk. Limitations include its retrospective design (potential selection bias) and exclusion of clinical scales (e.g., CIWA-Ar). Prospective multicenter studies are needed to validate its generalizability.

Frontiers in PsychiatryVol. 17
Third People's Hospital of Chengdu (CN), Chengdu Fifth People's Hospital (CN)
Good health and well-being
Openalex Percentile: Top 46%
Alcoholism and Thiamine Deficiency
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