酒精使用障碍的合并症分析

A. Ebrahimi, U. Wiil, Marjan Mansourvar, A. Naemi, K. Andersen, A. Nielsen
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引用次数: 1

摘要

酒精使用障碍(AUD)是一种基于与过度饮酒相关的体征和症状的临床诊断,它增加了许多临床疾病、心理不稳定和社会问题的风险。在这项研究中,我们的目的是确定危险和有害饮酒者的合并症。我们使用社会网络分析技术获得了危险饮酒者和有害饮酒者的共病网络。每个网络由几个节点组成,这些节点表示患者在住院期间得到的诊断代码。为了准确识别每个饮酒组中最独特的合并症,我们提出了一个基于机器学习算法和聚合函数的四步流程。我们的研究结果表明,在有害饮酒组中,大多数确定的合并症与ICD-10第11章、第19章和第13章有关。然而,危险饮酒组的合并症并没有呈现出类似的清晰模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Comorbidities of Alcohol Use Disorder
Alcohol Use Disorder (AUD) is a clinical diagnosis based on signs and symptoms that are related to excessive alcohol use and it increases the risk of many clinical conditions, psychological instabilities, and social issues. In this study, we aim to identify the comorbidities of Hazardous and Harmful drinkers. We obtained comorbidity networks for Hazardous, and Harmful drinkers using social network analysis techniques. Each network consists of several nodes that represent the diagnostic codes that patients were given during their hospitalization. To precisely identify the most exclusive comorbidities in each drinking group, we proposed a four-step process based on a machine learning algorithm and aggregation functions. Our findings show that the majority of the identified comorbidities in the Harmful drinking group are related to ICD-10 chapters XI, XIX, and XIII. The comorbidities of the Hazardous drinking group, however, did not present a similarly clear pattern.
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