Pediatric anesthesia & critical care

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

Anaesth Crit Care Pain MedPublished Systematic review and meta-analysis of diagnostic test accuracy studies

Authors' conclusion

Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting.

Study context

Population
Mechanically ventilated children, surgical setting360 fluid challenges
Participants
283 participants · 8 studies
Comparison
Digital plethysmographic variability index (PVI) to predict response to fluid challenge
Outcome
Diagnostic accuracy of digital PVI to predict fluid responsiveness (pooled sensitivity, specificity, diagnostic odds ratio)
Methodological detailsrandom-effects model, Searched Pubmed, Embase and Web of Science from inception to January 2022
  • Random-effects model
  • Searched Pubmed, Embase and Web of Science from inception to January 2022

Pooled result

As reported in the abstract

Prediction of fluid responsiveness
GroupAUC (summary ROC)Pooled sensitivityPooled specificityDiagnostic OR
PVI0.8272.4% [95% CI: 65.3-78.7]65.9% [58.5-72.8]9.26 [5.31-16.16]

PVI

AUC (summary ROC)0.82
Pooled sensitivity72.4% [95% CI: 65.3-78.7]
Pooled specificity65.9% [58.5-72.8]
Diagnostic OR9.26 [5.31-16.16]

Original publication

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. Anaesth Crit Care Pain Med. Published 11 January 2023. doi:10.1016/j.accpm.2023.101194

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