预测急性一氧化碳中毒后迟发性脑病患者的潜在标志物。
Potential markers for predicting delayed encephalopathy in patients with acute carbon monoxide poisoning.
机构信息
Department of Neurology, Qijiang Hospital of the First Affiliated Hospital of Chongqing Medical University, Qijiang, Chongqing, China.
Institute of Life Sciences, Chongqing Medical University, China.
出版信息
J Clin Neurosci. 2022 Jan;95:129-133. doi: 10.1016/j.jocn.2021.11.022. Epub 2021 Dec 11.
BACKGROUND
Acute carbon monoxide poisoning (ACOP) commonly results in delayed neuropsychiatric sequelae (DNS). Currently, there are no reliable predictors. The aim of this article is to establish a practical model for predicting the development of delayed encephalopathy clinically.
METHODS
Retrospective analysis of clinical data were performed at a single institution for the past 6 years. 107 patients with ACOP were recruited, of who 67 developed DNS and 40 did not. Clinical characteristics of the patients were analyzed between the two groups. The risk factors associated with DNS development were screened to identify the potential markers for predicting DNS. A predictive model was then built, and the receiver operating characteristic (ROC) curve analysis was used to assess its predictive ability.
RESULTS
There were significant differences in 13 clinical features between the two groups. Four potential markers were identified. They were age, source of CO, Glasgow Coma Scale score and the initiation of HBOT. The potential predictive model showed an area under the curve (AUC) of 0.93 in the training set and 0.97 in the testing set.
CONCLUSIONS
Our model could calculate the probability of DNS after acute CO poisoning.
背景
急性一氧化碳中毒（ACOP）常导致迟发性神经精神后遗症（DNS）。目前尚无可靠的预测指标。本文旨在建立一种实用的模型，以预测临床上迟发性脑病的发生。
方法
对过去 6 年单中心的临床数据进行回顾性分析。共纳入 107 例 ACOP 患者，其中 67 例发生 DNS，40 例未发生 DNS。对两组患者的临床特征进行分析，筛选与 DNS 发生相关的危险因素，以确定潜在的 DNS 预测标志物。然后建立预测模型，并采用受试者工作特征（ROC）曲线分析评估其预测能力。
结果
两组患者有 13 项临床特征存在显著差异。确定了 4 个潜在标志物，分别为年龄、CO 来源、格拉斯哥昏迷评分和高压氧治疗的起始时间。潜在预测模型在训练集和测试集中的曲线下面积（AUC）分别为 0.93 和 0.97。
结论
本模型可计算急性 CO 中毒后发生 DNS 的概率。
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