Diagnostic accuracy of the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium and Cornell Assessment of Pediatric Delirium for detecting delirium in the pediatric intensive care unit: A systematic review and meta-analysis.


Journal

Intensive & critical care nursing
ISSN: 1532-4036
Titre abrégé: Intensive Crit Care Nurs
Pays: Netherlands
ID NLM: 9211274

Informations de publication

Date de publication:
Jun 2024
Historique:
received: 15 09 2023
revised: 09 12 2023
accepted: 12 12 2023
medline: 18 3 2024
pubmed: 2 1 2024
entrez: 29 12 2023
Statut: ppublish

Résumé

Delirium is a frequent complication of critical illness, affecting 34% of children admitted to pediatric intensive care units. The commonly used tools for detecting delirium in the pediatric intensive care unit include the Pediatric Confusion Assessment Method for the intensive care unit (ICU, pCAM-ICU), Preschool Confusion Assessment Method for the ICU (psCAM-ICU), Pediatric Anesthesia Emergence Delirium and the Cornell Assessment of Pediatric Delirium. We searched four electronic databases for relevant articles from inception to March 1, 2023. All full-text observational studies examining the sensitivity and specificity of the four tools for screening delirium in the pediatric intensive care units were included. Two researchers independently identified articles, extracted data, and retrieved the diagnostic accuracy parameters of the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium, and Cornell Assessment of Pediatric Delirium relative to standard references. A bivariate diagnostic statistical analysis with a random-effects model was performed. Four, five, three and seven studies on the pediatric CAM-ICU, pre-school CAM-ICU, Pediatric Anesthesia Emergence Delirium, and Cornell Assessment of Pediatric Delirium, respectively, were identified. Due to the limited number of Pediatric Anesthesia Emergence Delirium articles included, no pooled diagnostic accuracy was produced. The pooled sensitivity was 0.73, 0.84, and 0.95 for the pediatric CAM-ICU, pre-school CAM-ICU, and Cornell Assessment of Pediatric Delirium, respectively, whereas the pooled specificity was 0.98, 0.90, and 0.81, respectively. The Cornell Assessment of Pediatric Delirium had greater sensitivity compared to both the pediatric CAM-ICU and pre-school CAM-ICU (both p = 0.04) and lower specificity than the pediatric CAM-ICU did (p < 0.001). Age, sample size, and mechanical ventilation use were significant moderators of the specificity of the pediatric CAM-ICU (p < 0.001, <0.001, and = 0.001, respectively). Our data indicate that the Cornell Assessment of Pediatric Delirium is a more dependable instrument than the pediatric CAM-ICU and pre-school CAM-ICU for detecting pediatric intensive care delirium occurrence. More studies on the Pediatric Anesthesia Emergence Delirium are warranted. Healthcare providers are suggested adopting the Cornell Assessment of Pediatric Delirium into daily routine for the early detection of delirium in pediatric intensive care units.

Identifiants

pubmed: 38158251
pii: S0964-3397(23)00224-0
doi: 10.1016/j.iccn.2023.103606
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review

Langues

eng

Pagination

103606

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Iftitakhur Rohmah (I)

School of Nursing, Taipei Medical University, Taipei, Taiwan.

Yi-Chen Chen (YC)

School of Nursing, Taipei Medical University, Taipei, Taiwan.

Chia-Jou Lin (CJ)

School of Nursing, Taipei Medical University, Taipei, Taiwan.

Nan-Hsuan Tsao (NH)

Department of Nursing, Taipei Medical University Hospital, Taipei, Taiwan.

Hsiao-Yean Chiu (HY)

School of Nursing, Taipei Medical University, Taipei, Taiwan; Department of Nursing, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Sleep Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Sleep Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan. Electronic address: hychiu0315@tmu.edu.tw.

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Classifications MeSH