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
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
| Group | AUC (summary ROC) | Pooled sensitivity | Pooled specificity | Diagnostic OR |
|---|---|---|---|---|
| PVI | 0.82 | 72.4% [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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