Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-15T21:40:00.907Z Has data issue: false hasContentIssue false
  • English
  • Français

Receiver operating characteristic analysis to determine optimal cutting point of cage in predicting physical and mental comorbidities among alcohol users

Published online by Cambridge University Press:  13 August 2021

C.Y. Chu ,
S.C. Wang ,
C.H. Lee  and
C.M. Cheng
C.Y. Chu
Affiliation:
Department Of Forensic And Addiction Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan
S.C. Wang*
Affiliation:
Department Of Forensic And Addiction Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan
C.H. Lee
Affiliation:
Department Of Forensic And Addiction Psychiatry, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan
C.M. Cheng
Affiliation:
Consultant Physician, Jianan Psychiatric Center, Ministry of Health and Welfare, Tainan, Taiwan
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Alcohol use disorder (AUD) is highly related to various comorbidities, such as cancer, cognitive impairment, cirrhosis, chronic sclerosing stomatitis, stroke, and depression. The CAGE (Cut down, Annoyed, Guilty, Eye-opener) questionnaire is a simple screening material to make a diagnosis of alcoholism.

Objectives

Our study aimed to find an optimal cut-off point of CAGE for alcohol-related comorbidities in Taiwan.

Methods

We performed demographic analysis for 280 participants with AUD and categorized them into two groups according to CAGE scores. We applied receiver operator characteristic (ROC) analysis to determine optimal cutting point of CAGE in predicting physical and mental problems among alcohol users. Statistical analysis was performed with the Statistical Software Stata version 12.0 (StataCorp LP, College Station, TX, USA).

Results

The mean age of participants was 45.9 ± 10.5 years, and all of them were male. Among 280 participants, 134 (47.9%) had physical diseases, including 37 (13.2%) with liver disease, 10 (3.6%) with pancreatitis, 22 (7.9%) with gout, and 5 (1.8%) with esophageal varices; while 33 (11.8%) had one or more mental illnesses. Patients with CAGE score greater than 3 were more likely to have both mental health problems and/or physical diseases, especially hepatic disease and esophageal varices.

Conclusions

This study revealed that with CAGE score greater than 3, male patients with AUD are at higher risks of both physical and mental comorbidities. Further research as well as female participants are needed to identify the associations between the severity of alcohol use disorder and related diseases for comprehensive evaluation in Taiwan.

Keywords

receiver operator characteristic (ROC) analysisalcohol use disorder (AUD)comorbiditiesCAGE
Type
Abstract
Information
European Psychiatry , Volume 64 , Special Issue S1: Abstracts of the 29th European Congress of Psychiatry , April 2021 , pp. S560 - S561
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.