Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies.


Journal

Anaesthesia, critical care & pain medicine
ISSN: 2352-5568
Titre abrégé: Anaesth Crit Care Pain Med
Pays: France
ID NLM: 101652401

Informations de publication

Date de publication:
06 2023
Historique:
received: 29 08 2022
revised: 25 10 2022
accepted: 02 01 2023
medline: 23 5 2023
pubmed: 15 1 2023
entrez: 14 1 2023
Statut: ppublish

Résumé

To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid responsiveness in mechanically ventilated children. We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge. Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3-78.7], 65.9% [58.5-72.8], and 9.26 [5.31-16.16], respectively. Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population.

Sections du résumé

BACKGROUND
To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid responsiveness in mechanically ventilated children.
METHODS
We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge.
RESULTS
Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3-78.7], 65.9% [58.5-72.8], and 9.26 [5.31-16.16], respectively.
CONCLUSION
Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population.

Identifiants

pubmed: 36640908
pii: S2352-5568(23)00002-4
doi: 10.1016/j.accpm.2023.101194
pii:
doi:

Types de publication

Meta-Analysis Systematic Review Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101194

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2023 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.

Auteurs

François-Pierrick Desgranges (FP)

Department of Anaesthesiology, L'Hôpital Nord-Ouest, Villefranche-sur-Saône Hospital, Villefranche-sur-Saône, France. Electronic address: fp_desgranges@yahoo.fr.

Lionel Bouvet (L)

Department of Anaesthesiology and Intensive Care, Femme Mère Enfant Hospital, Hospices Civils de Lyon, Bron, France; Research Unit APCSe VetAgro Sup UPSP 2016.A101, Claude Bernard Lyon 1 University, Marcy-l'Etoile, France.

Edmundo Pereira de Souza Neto (E)

Department of Anaesthesiology, Montauban Hospital, Montauban, France.

Jean-Noël Evain (JN)

Department of Anaesthesiology and Intensive Care, Grenoble Alpes University Hospital, Grenoble, France; Alps Research Assessment and Simulation Centre, Grenoble Alpes University Hospital, Grenoble, France; TIMC-IMAG Laboratory, UMR, CNRS 5525, Grenoble Alpes University, Grenoble, France.

Hugo Terrisse (H)

Department of Biostatistics, Grenoble Alpes University Hospital, Grenoble, France; TIMC-IMAG Laboratory, UMR, CNRS 5525, Grenoble Alpes University, Grenoble, France.

Alexandre Joosten (A)

Department of Anesthesiology and Intensive Care, Paris-Saclay University, Paul Brousse Hospital, Assistance Publique - Hôpitaux de Paris (APHP), Villejuif, France.

Olivier Desebbe (O)

Department of Anaesthesiology and Intensive Care, Ramsay Santé, Sauvegarde Clinic, Lyon, France.

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