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儿科全身麻醉后谵妄发生的风险预测模型:系统评价。

Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review.

机构信息

Department of Pediatric Anesthesia, Montreal Children's Hospital, McGill University, Montreal, Quebec, Canada.

John A Burns School of Medicine at University of Hawai'i at Mānoa, Honolulu, Hawaii, USA.

出版信息

BMJ Open. 2021 Jan 6;11(1):e043968. doi: 10.1136/bmjopen-2020-043968.

Abstract

OBJECTIVES

Emergence delirium (ED) occurs in approximately 25% of paediatric general anaesthetics and has significant adverse effects. The goal of the current systematic review was to identify the existing literature investigating performance of predictive models for the development of paediatric ED following general anaesthesia and to determine their usability.

DESIGN

Systematic review using the Prediction model study Risk Of Bias Assessment Tool (PROBAST) framework.

DATA SOURCES

Medline (Ovid), PubMed, Embase (Ovid), Cochrane Database of Systematic Reviews (Ovid), Cochrane CENTRAL (Ovid), PsycINFO (Ovid), Scopus (Elsevier) and Web of Science (Clarivate Analytics), ClinicalTrials.gov, International Clinical Trials Registry Platform and ProQuest Digital Dissertations and Theses International through 17 November 2020.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

All randomised controlled trials and cohort studies investigating predictive models for the development of ED in children undergoing general anaesthesia.

DATA EXTRACTION AND SYNTHESIS

Following title, abstract and full-text screening by two reviewers, data were extracted from all eligible studies, including demographic parameters, details of anaesthetics and performance characteristics of the predictive scores for ED. Evidence quality and predictive score usability were assessed according to the PROBAST framework.

RESULTS

The current systematic review yielded 9242 abstracts, of which only one study detailing the development and validation of the Emergence Agitation Risk Scale (EARS) met the inclusion criteria. EARS had good discrimination with c-index of 0.81 (95% CI 0.72 to 0.89). Calibration showed a non-significant Homer-Lemeshow goodness-of-fit test (p=0.97). Although the EARS demonstrated low concern of applicability, the high risk of bias compromised the overall usability of this model.

CONCLUSIONS

The current systematic review concluded that EARS has good discrimination performance but low usability to predict ED in a paediatric population. Further research is warranted to develop novel models for the prediction of ED in paediatric anaesthesia.

PROSPERO REGISTRATION NUMBER

CRD42019141950.

摘要

目的

在接受全身麻醉的儿科患者中,大约有 25%会出现术后谵妄(ED),并对其有明显的不良影响。本系统评价的目的是确定目前研究全身麻醉后儿童 ED 发生的预测模型的文献,并确定其可用性。

设计

使用预测模型研究风险偏倚评估工具(PROBAST)框架进行系统评价。

数据来源

Medline(Ovid)、PubMed、Embase(Ovid)、Cochrane 系统评价数据库(Ovid)、Cochrane 中心(Ovid)、PsycINFO(Ovid)、Scopus(Elsevier)和 Web of Science(Clarivate Analytics)、ClinicalTrials.gov、国际临床试验注册平台和 ProQuest 数字论文和论文国际,截至 2020 年 11 月 17 日。

纳入研究的选择标准

所有调查儿童全身麻醉后 ED 发生预测模型的随机对照试验和队列研究。

数据提取和综合

通过两名评审员对标题、摘要和全文进行筛选后,从所有合格研究中提取数据,包括人口统计学参数、麻醉细节以及 ED 预测评分的性能特征。根据 PROBAST 框架评估证据质量和预测评分的可用性。

结果

本系统评价目前共产生了 9242 篇摘要,其中只有一项研究详细描述了 Emergence Agitation Risk Scale(EARS)的开发和验证,符合纳入标准。EARS 具有良好的判别能力,c 指数为 0.81(95%CI 0.72-0.89)。校准显示 Homer-Lemeshow 拟合优度检验无显著性(p=0.97)。尽管 EARS 表现出低适用性,但高风险偏倚影响了该模型的整体可用性。

结论

本系统评价得出结论,EARS 具有良好的判别性能,但在预测儿科人群 ED 方面可用性较低。需要进一步研究开发用于预测小儿麻醉中 ED 的新型模型。

PROSPERO 注册号:CRD42019141950。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9773/7789445/132fa77574da/bmjopen-2020-043968f01.jpg

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