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预测血管内治疗后大血管闭塞性卒中患者呼吸机相关性肺炎的列线图:一项回顾性研究

Nomogram to predict ventilator-associated pneumonia in large vessel occlusion stroke after endovascular treatment: a retrospective study.

作者信息

Zhu Huishan, Liang Wenfei, Zhu Jingling, He Xiaohua, Zou Pengjuan, Yang Kangqiang, Li Guoshun, Liao Bin, Deng Huiquan, Liang Zichong, Zhao Jiasheng, Zhao Zhan, Chen Jingyi, He Qiuxing, Ning Weimin

机构信息

Department of Neurology, Dongguan Hospital of Guangzhou University of Chinese Medicine, Dongguan, China.

School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, China.

出版信息

Front Neurol. 2024 May 13;15:1351458. doi: 10.3389/fneur.2024.1351458. eCollection 2024.

Abstract

BACKGROUND

Ventilator-Associated Pneumonia (VAP) severely impacts stroke patients' prognosis after endovascular treatment. Hence, this study created a nomogram to predict the occurrence of VAP after endovascular treatment.

METHODS

The individuals with acute ischemic stroke and large vessel occlusion (AIS-LVO) who received mechanical ventilation and endovascular therapy between July 2020 and August 2023 were included in this retrospective study. The predictive model and nomogram were generated by performing feature selection optimization using the LASSO regression model and multifactor logistic regression analysis and assessed the evaluation, verification and clinical application.

RESULTS

A total of 184 individuals (average age 61.85 ± 13.25 years, 73.37% male) were enrolled, and the rate of VAP occurrence was found to be 57.07%. Factors such as the Glasgow Coma Scale (GCS) score, duration of stay in the Intensive Care Unit (ICU), dysphagia, Fazekas scale 2 and admission diastolic blood pressure were found to be associated with the occurrence of VAP in the nomogram that demonstrating a strong discriminatory power with AUC of 0.862 (95% CI, 0.810-0.914), and a favorable clinical net benefit.

CONCLUSION

This nomogram, comprising GCS score, ICU duration, dysphagia, Fazekas scale 2 and admission diastolic blood pressure, can aid clinicians in predicting the identification of high-risk patients for VAP following endovascular treatment in large vessel occlusion stroke.

摘要

背景

呼吸机相关性肺炎(VAP)严重影响血管内治疗后中风患者的预后。因此,本研究创建了一个列线图来预测血管内治疗后VAP的发生。

方法

本回顾性研究纳入了2020年7月至2023年8月期间接受机械通气和血管内治疗的急性缺血性卒中合并大血管闭塞(AIS-LVO)患者。通过使用LASSO回归模型进行特征选择优化和多因素逻辑回归分析生成预测模型和列线图,并对其进行评估、验证和临床应用。

结果

共纳入184例患者(平均年龄61.85±13.25岁,男性占73.37%),发现VAP发生率为57.07%。格拉斯哥昏迷量表(GCS)评分、重症监护病房(ICU)住院时间、吞咽困难、Fazekas量表2级和入院舒张压等因素与列线图中VAP的发生相关,该列线图显示出较强的鉴别力,AUC为0.862(95%CI,0.810-0.914),临床净效益良好。

结论

该列线图包括GCS评分、ICU住院时间、吞咽困难、Fazekas量表2级和入院舒张压,可帮助临床医生预测大血管闭塞性卒中血管内治疗后VAP高危患者的识别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c215/11129686/4a95f3cd6b30/fneur-15-1351458-g001.jpg

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