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Published in: Journal of Clinical Monitoring and Computing 4/2022

02-09-2021 | Stroke | Original Research

Ability of short-time low peep challenge to predict fluid responsiveness in mechanically ventilated patients in the intensive care

Authors: Taner Abdullah, Achmet Ali, Esra Saka, Mert Canbaz, Ceren Gokduman, Ozlem Polat, Figen Esen, Mukadder Orhan Sungur

Published in: Journal of Clinical Monitoring and Computing | Issue 4/2022

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Abstract

Short-time low PEEP challenge (SLPC, application of additional 5 cmH2O PEEP to patients for 30 s) is a novel functional hemodynamic test presented in the literature. We hypothesized that SLPC could predict fluid responsiveness better than stroke volume variation (SVV) in mechanically ventilated intensive care patients. Heart rate, mean arterial pressure, stroke volume index (SVI) and SVV were recorded before SLPC, during SLPC and before and after 500 mL fluid loading. Patients whose SVI increased more than 15% after the fluid loading were defined as fluid responders. Reciever operating characteristics (ROC) curves were generated to evaluate the abilities of the methods to predict fluid responsiveness. Fifty-five patients completed the study. Twenty-five (46%) of them were responders. Decrease percentage in SVI during SLPC (SVIΔ%–SLPC) was 11.6 ± 5.2% and 4.3 ± 2.2% in responders and non-responders, respectively (p < 0.001). A good correlation was found between SVIΔ%–SLPC and percentage change in SVI after fluid loading (r = 0.728, P < 0.001). Areas under the ROC curves (ROC–AUC) of SVIΔ%–SLPC and SVV were 0.951 (95% CI 0.857–0.991) and 0.747 (95% CI 0.611–0.854), respectively. The ROC–AUC of SVIΔ%–SLPC was significantly higher than that of SVV (p = 0.0045). The best cut-off value of SVIΔ%–SLPC was 7.5% with 90% sensitivity and 96% specificity. The percentage change in SVI during SLPC predicts fluid responsiveness in intensive care patients who are ventilated with low tidal volumes; the sensitivity and specificity values are higher than those of SVV.
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Metadata
Title
Ability of short-time low peep challenge to predict fluid responsiveness in mechanically ventilated patients in the intensive care
Authors
Taner Abdullah
Achmet Ali
Esra Saka
Mert Canbaz
Ceren Gokduman
Ozlem Polat
Figen Esen
Mukadder Orhan Sungur
Publication date
02-09-2021
Publisher
Springer Netherlands
Keyword
Stroke
Published in
Journal of Clinical Monitoring and Computing / Issue 4/2022
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI
https://doi.org/10.1007/s10877-021-00752-7

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