Ng Priscilla, Tan Herng Lee, Ma Yi-Jyun, Sultana Rehena, Long Victoria, Wong Judith J-M, Lee Jan Hau
Duke-NUS Medical School, Singapore, Singapore.
Children's Intensive Care Unit, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore.
Pulm Ther. 2023 Mar;9(1):25-47. doi: 10.1007/s41030-022-00204-w. Epub 2022 Dec 2.
There is lack of consensus on what constitutes best practice when assessing extubation readiness in children. This systematic review aims to synthesize data from existing literature on pre-extubation assessments and evaluate their diagnostic accuracies in predicting extubation failure (EF) in children.
A systematic search in PubMed, EMBASE, Web of Science, CINAHL, and Cochrane was performed from inception of each database to 15 July 2021. Randomized controlled trials or observational studies that studied the association between pre-extubation assessments and extubation outcome in the pediatric intensive care unit population were included. Meta-analysis was performed for studies that report diagnostic tests results of a combination of parameters.
In total, 41 of 11,663 publications screened were included (total patients, n = 8111). Definition of EF across studies was heterogeneous. Fifty-five unique pre-extubation assessments were identified. Parameters most studied were: respiratory rate (RR) (13/41, n = 1945), partial pressure of arterial carbon dioxide (10/41, n = 1379), tidal volume (13/41, n = 1945), rapid shallow breathing index (RBSI) (9/41, n = 1400), and spontaneous breathing trials (SBT) (13/41, n = 5652). Meta-analysis shows that RSBI, compliance rate oxygenation pressure (CROP) index, and SBT had sensitivities ranging from 0.14 to 0.57. CROP index had the highest sensitivity [0.57, 95% confidence interval (CI) 0.4-0.73] and area under curve (AUC, 0.98). SBT had the highest specificity (0.93, 95% CI 0.92-0.94).
Pre-extubation assessments studied thus far remain poor predictors of EF. CROP index, having the highest AUC, should be further explored as a predictor of EF. Standardizing the EF definition will allow better comparison of pre-extubation assessments.
在评估儿童拔管准备情况时,对于什么构成最佳实践缺乏共识。本系统评价旨在综合现有文献中关于拔管前评估的数据,并评估它们在预测儿童拔管失败(EF)方面的诊断准确性。
从每个数据库创建之初到2021年7月15日,在PubMed、EMBASE、Web of Science、CINAHL和Cochrane中进行了系统检索。纳入了研究儿科重症监护病房人群中拔管前评估与拔管结果之间关联的随机对照试验或观察性研究。对报告参数组合诊断测试结果的研究进行了荟萃分析。
在筛选的11663篇出版物中,总共纳入了41篇(患者总数,n = 8111)。各研究中EF的定义不一致。确定了55种独特的拔管前评估方法。研究最多的参数是:呼吸频率(RR)(13/41,n = 1945)、动脉血二氧化碳分压(10/41,n = 1379)、潮气量(13/41,n = 1945)、快速浅呼吸指数(RBSI)(9/41,n = 1400)和自主呼吸试验(SBT)(13/41,n = 5652)。荟萃分析表明,RBSI、顺应性氧合压力(CROP)指数和SBT的敏感性范围为0.14至0.57。CROP指数具有最高的敏感性[0.57,95%置信区间(CI)0.4 - 0.73]和曲线下面积(AUC,0.98)。SBT具有最高的特异性(0.93,95% CI 0.92 - 0.