Literature DB >> 23521073

Plethysmographic variability index (PVI) accuracy in predicting fluid responsiveness in anesthetized children.

Florence Julien1, Julie Hilly, Tarik B Sallah, Alia Skhiri, Daphné Michelet, Christopher Brasher, Laurent Varin, Yves Nivoche, Souhayl Dahmani.   

Abstract

INTRODUCTION: Plethysmographic Variability Index (PVI) has been shown to accurately predict responsiveness to fluid loads in adults. The goal of this study was to evaluate PVI accuracy when predicting fluid responsiveness during noncardiac surgery in children.
MATERIAL AND METHODS: Children aged 2-10 years scheduled for noncardiac surgery under general anesthesia were included. PVI was assessed concomitantly with stroke volume index (SVI). A response to fluid load was defined by an SVI increase of more than 15%. A 10 ml·kg(-1) normal saline intravenous fluid challenge was administered before surgical incision and after anesthetic induction. After incision, fluid challenges were administered when SVI values decreased by more than 15% or where judged necessary by the anesthesiologist. Statistical analyses include receiving operator characteristics (ROC) analysis and the determination of gray zone method with an error tolerance of 10%.
RESULTS: Fifty-four patients were included, 97 fluid challenges administered and 45 responses recorded. Area under the curve of ROC curves was 0.85 [0.77-0.93] and 0.8 [0.7-0.89] for baseline PVI and SVI values, respectively. Corresponding gray zone limits were [10-17%] and [22-31 ml·m(-2)], respectively. PVI values exhibited different gray zone limits for pre-incision and postincision fluid challenges, whereas SVI values were comparable. PVI value percentages in the gray zone were 34% overall and 44% for challenges performed after surgical incision. DISCUSSION: This study found both PVI and prechallenge SVI to be accurate when used to predict fluid load response during anesthetized noncardiac surgery in children. However, a third of recorded PVI values were inconclusive.
© 2013 Blackwell Publishing Ltd.

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Year:  2013        PMID: 23521073     DOI: 10.1111/pan.12139

Source DB:  PubMed          Journal:  Paediatr Anaesth        ISSN: 1155-5645            Impact factor:   2.556


  7 in total

Review 1.  Accuracy of pleth variability index to predict fluid responsiveness in mechanically ventilated patients: a systematic review and meta-analysis.

Authors:  Haitao Chu; Yong Wang; Yanfei Sun; Gang Wang
Journal:  J Clin Monit Comput       Date:  2015-08-05       Impact factor: 2.502

Review 2.  [Hemodynamic monitoring in pediatric anesthesia].

Authors:  Andreas Otte; Ehrenfried Schindler; Claudia Neumann
Journal:  Anaesthesiologie       Date:  2022-05-23

3.  Reliability of pleth variability index in predicting preload responsiveness of mechanically ventilated patients under various conditions: a systematic review and meta-analysis.

Authors:  Tianyu Liu; Chao Xu; Min Wang; Zheng Niu; Dunyi Qi
Journal:  BMC Anesthesiol       Date:  2019-05-08       Impact factor: 2.217

Review 4.  Fluid responsiveness in the pediatric population.

Authors:  Ji-Hyun Lee; Eun-Hee Kim; Young-Eun Jang; Hee-Soo Kim; Jin-Tae Kim
Journal:  Korean J Anesthesiol       Date:  2019-10-01

5.  Dynamic variables predict fluid responsiveness in pre-school and school children undergoing neurosurgery: a prospective observational study.

Authors:  Lin-Lin Song; Zhi-Yu Geng; Wei Ma; Ya-Fei Liu; Dong-Xin Wang
Journal:  Transl Pediatr       Date:  2021-11

6.  Reproducibility of the Pleth Variability Index in premature infants.

Authors:  Wilhelmina J den Boogert; Hugo A van Elteren; Tom G Goos; Irwin K M Reiss; Rogier C J de Jonge; Victor J van den Berg
Journal:  J Clin Monit Comput       Date:  2017-08-31       Impact factor: 2.502

7.  The predictive value of the Pleth Variability Index on fluid responsiveness in spontaneously breathing anaesthetized children-A prospective observational study.

Authors:  Frank Weber; Bharat K Rashmi; Gülhan Karaoz-Bulut; Jaap Dogger; Iris J de Heer; Christopher Prasser
Journal:  Paediatr Anaesth       Date:  2020-08-29       Impact factor: 2.556

  7 in total

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