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Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review
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 E...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789445/ https://www.ncbi.nlm.nih.gov/pubmed/33408214 http://dx.doi.org/10.1136/bmjopen-2020-043968 |
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author | Petre, Maria-Alexandra Saha, Bibek Kasuya, Shugo Englesakis, Marina Gai, Nan Peliowski, Arie Aoyama, Kazuyoshi |
author_facet | Petre, Maria-Alexandra Saha, Bibek Kasuya, Shugo Englesakis, Marina Gai, Nan Peliowski, Arie Aoyama, Kazuyoshi |
author_sort | Petre, Maria-Alexandra |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7789445 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-77894452021-01-14 Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review Petre, Maria-Alexandra Saha, Bibek Kasuya, Shugo Englesakis, Marina Gai, Nan Peliowski, Arie Aoyama, Kazuyoshi BMJ Open Anaesthesia 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. BMJ Publishing Group 2021-01-05 /pmc/articles/PMC7789445/ /pubmed/33408214 http://dx.doi.org/10.1136/bmjopen-2020-043968 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Anaesthesia Petre, Maria-Alexandra Saha, Bibek Kasuya, Shugo Englesakis, Marina Gai, Nan Peliowski, Arie Aoyama, Kazuyoshi Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title | Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title_full | Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title_fullStr | Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title_full_unstemmed | Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title_short | Risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
title_sort | risk prediction models for emergence delirium in paediatric general anaesthesia: a systematic review |
topic | Anaesthesia |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789445/ https://www.ncbi.nlm.nih.gov/pubmed/33408214 http://dx.doi.org/10.1136/bmjopen-2020-043968 |
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