Literature DB >> 22426102

Stroke volume variation and pleth variability index to predict fluid responsiveness during resection of primary retroperitoneal tumors in Hans Chinese.

Q Fu1, W D Mi, H Zhang.   

Abstract

Respiration variation in arterial pulse pressure (ΔPP) and pulse oximetry plethysmographic waveform amplitude (ΔPOP) are accurate predictors of fluid responsiveness in mechanically ventilated patients. We hypothesized that stroke volume variation (SVV) and pleth variability index (PVI) can predict fluid responsiveness in mechanically ventilated patients during major surgical procedures in Hans Chinese. This prospective study consisted of fifty-five Hans Chinese patients undergoing resection of primary retroperitoneal tumors (PRPT). During the surgical procedures, hemodynamic data [central venous pressure (CVP), cardiac index (CI), stroke volume index (SVI), SVV, and PVI] were recorded before and after volume expansion (VE) (8 ml•kg-1 of 6% hydroxyethyl starch 130/0.4). Fluid responsiveness was defined as an increase in SVI ≥ 10% after VE. Four patients were excluded from analysis for arrhythmia or obvious hemorrhage during VE. Baseline SVV correlated well with baseline PVI and the changes in SVV was correlated with the changes in PVI (p < 0.01) after VE. There were significant increases of CI, SVI and decreases of SVV, PVI in responder (Rs) after VE. ROC results showed that the areas for SVV, PVI were significantly higher than the areas for CI, MAP, CVP, PI (p < 0.05). The best threshold values to predict fluid responsiveness were more than 12.5% for SVV and more than 13.5% for PVI in the real surgical setting. The baseline value of SVV, and PVI correlated significantly with volume-induced changes in SVI (p < 0.01). Both SVV and PVI could be used to predict intraoperative fluid responsiveness during resection of PRPT in Hans Chinese.

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Year:  2012        PMID: 22426102     DOI: 10.5582/bst.2012.v6.1.38

Source DB:  PubMed          Journal:  Biosci Trends        ISSN: 1881-7815            Impact factor:   2.400


  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

2.  Pleth variability index-directed fluid management in abdominal surgery under combined general and epidural anesthesia.

Authors:  Yinan Yu; Jing Dong; Zifeng Xu; Hao Shen; Jijian Zheng
Journal:  J Clin Monit Comput       Date:  2014-02-21       Impact factor: 2.502

3.  Automated stroke volume and pulse pressure variations predict fluid responsiveness in mechanically ventilated patients with obstructive jaundice.

Authors:  Feng Zhao; Peng Wang; Shujun Pei; Weidong Mi; Qiang Fu
Journal:  Int J Clin Exp Med       Date:  2015-11-15

Review 4.  Intravascular volume therapy in adults: Guidelines from the Association of the Scientific Medical Societies in Germany.

Authors:  Gernot Marx; Achim W Schindler; Christoph Mosch; Joerg Albers; Michael Bauer; Irmela Gnass; Carsten Hobohm; Uwe Janssens; Stefan Kluge; Peter Kranke; Tobias Maurer; Waltraut Merz; Edmund Neugebauer; Michael Quintel; Norbert Senninger; Hans-Joachim Trampisch; Christian Waydhas; Rene Wildenauer; Kai Zacharowski; Michaela Eikermann
Journal:  Eur J Anaesthesiol       Date:  2016-07       Impact factor: 4.330

5.  Pleth variability index and respiratory system compliance to direct PEEP settings in mechanically ventilated patients, an exploratory study.

Authors:  Jing Zhou; Yi Han
Journal:  Springerplus       Date:  2016-08-20

6.  Influence of stroke volume variation on fluid treatment and postoperative complications in thoracic surgery.

Authors:  Cengiz Sahutoglu; Erbil Turksal; Seden Kocabas; Fatma Zekiye Askar
Journal:  Ther Clin Risk Manag       Date:  2018-03-20       Impact factor: 2.423

7.  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

  7 in total

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