Department of Anaesthesiology, Pain Medicine, and Critical Care, All India Institute of Medical Sciences, New Delhi, India.
Department of Neuroanaesthesia and Neurocritical Care, National Institute of Mental Health and Neurosciences, Bengaluru, India.
Neurocrit Care. 2023 Dec;39(3):690-696. doi: 10.1007/s12028-023-01695-4. Epub 2023 Mar 1.
Patients in the neurointensive care unit (NICU) fail extubation despite successful weaning from mechanical ventilation. Parameters currently used in the general intensive care unit do not accurately predict extubation success in the NICU. In this study, peak cough expiratory flow rate, ultrasound-based diaphragm function assessment, and comprehensive clinical scoring systems were measured to determine whether these new variables, in isolation or combination, could predict extubation failure successfully in the NICU.
All adult patients extubated after 48 h of mechanical ventilation in the NICU of a single tertiary care center were recruited into the prospective cohort. The patient's cough peak expiratory flow rate (C-PEFR), diaphragm function, and clinical scores were measured before extubation. C-PEFR was measured using a hand-held spirometer, diaphragm function (excursion, thickness fraction, and diaphragm contraction velocity on coughing) was assessed using ultrasound, and the clinical scores included the visual pursuit, swallowing, age, Glasgow Coma Scale for extubation (VISAGE) and respiratory insufficiency scale-intubated (RIS-i) scores. The patients requiring reintubation within 48 h were considered as extubation failure. Univariate and multivariate logistic regression analyses were done to identify predictors of extubation failure.
Of the 193 patients screened, 43 were recruited, and 15 had extubation failure (20.9%). Patients with extubation failure had higher RIS-i scores (p < 0.001) and lower VISAGE scores (p = 0.043). The C-PEFR and diaphragm function (excursions and contraction velocity on coughing) were lower in patients with extubation failure but not statistically significant. The variables with p < 0.2 in univariate analysis (RIS-i, VISAGE, and diaphragm cough velocity) were subjected to multivariate regression analysis. RIS-I score remained an independent predictor (odds ratio 3.691, 95% confidence interval 1.5-8.67, p = 0.004). In a receiver operating characteristic analysis, the area under the curve for RIS-i was 0.963. An RIS-i score of 2 or more had 94% specificity and 89% sensitivity for predicting extubation failure.
The RIS-i score predicts extubation failure in NICU patients. The addition of ultrasound-based diaphragm measurements to the RIS-i score to improve prediction accuracy needs further study. Clinical trial registration Clinical Trials Registry of India identifier CTRI/2021/03/031923.
神经重症监护病房(NICU)的患者尽管成功脱机,但仍无法拔管。目前在普通重症监护病房中使用的参数不能准确预测 NICU 中的拔管成功率。在这项研究中,测量了最大咳嗽呼气流量率、基于超声的膈肌功能评估和综合临床评分系统,以确定这些新变量是否可以单独或组合成功预测 NICU 中的拔管失败。
所有在一家三级护理中心的 NICU 中接受机械通气 48 小时后的成年患者均被纳入前瞻性队列研究。在拔管前测量患者的咳嗽最大呼气流量率(C-PEFR)、膈肌功能和临床评分。使用手持式肺活量计测量 C-PEFR,使用超声评估膈肌功能(位移、厚度分数和咳嗽时的膈肌收缩速度),临床评分包括视觉追踪、吞咽、年龄、格拉斯哥拔管昏迷评分(VISAGE)和呼吸不足评分-插管(RIS-i)评分。48 小时内需要重新插管的患者被认为是拔管失败。进行单变量和多变量逻辑回归分析以确定拔管失败的预测因素。
在筛选的 193 名患者中,有 43 名被招募,其中 15 名患者发生拔管失败(20.9%)。拔管失败的患者 RIS-i 评分较高(p<0.001),VISAGE 评分较低(p=0.043)。C-PEFR 和膈肌功能(位移和咳嗽时的收缩速度)在拔管失败的患者中较低,但无统计学意义。单变量分析中 p<0.2 的变量(RIS-i、VISAGE 和膈肌咳嗽速度)进行多变量回归分析。RIS-I 评分仍然是独立的预测因素(优势比 3.691,95%置信区间 1.5-8.67,p=0.004)。在接受者操作特征分析中,RIS-i 的曲线下面积为 0.963。RIS-i 评分≥2 分对预测拔管失败具有 94%的特异性和 89%的敏感性。
RIS-i 评分可预测 NICU 患者的拔管失败。将基于超声的膈肌测量值添加到 RIS-i 评分中以提高预测准确性需要进一步研究。临床试验注册印度临床试验注册中心标识符 CTRI/2021/03/031923。