Literature DB >> 22732902

Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis.

Claudio Sandroni1, Fabio Cavallaro, Cristina Marano, Chiara Falcone, Paolo De Santis, Massimo Antonelli.   

Abstract

PURPOSE: To systematically review the accuracy of the variation in pulse oxymetry plethysmographic waveform amplitude (∆POP) and the Pleth Variability Index (PVI) as predictors of fluid responsiveness in mechanically ventilated adults.
METHODS: MEDLINE, Scopus and the Cochrane Database of Systematic Reviews were screened for clinical studies in which the accuracy of ∆POP/PVI in predicting the hemodynamic response to a subsequent fluid bolus had been investigated. Random-effects meta-analysis was used to summarize the results. Data were stratified according to the amount of fluid bolus (large vs. small) and to the study index (∆POP vs. PVI).
RESULTS: Ten studies in 233 patients were included in this meta-analysis. All patients were in normal sinus rhythm. The pooled area under the receiver operating characteristic curve (AUC) for identification of fluid responders was 0.85 [95 % confidence interval (CI) 0.79-0.92]. Pooled sensitivity and specificity were 0.80 (95 % CI 0.74-0.85) and 0.76 (0.68-0.82), respectively. No heterogeneity was found within studies with the same amount of fluid bolus, nor between studies on ∆POP and those on PVI. The AUC was significantly larger in studies with a large bolus amount than in those with a small bolus [0.92 (95 % CI 0.87-0.96) vs. 0.70 (0.62-0.79); p < 0.0001]. Sensitivity and specificity were also higher in studies with a large bolus [0.84 (95 % CI 0.77-0.90) vs. 0.72 (0.60-0.82) (small bolus), p = 0.08 and 0.86 (95 % CI 0.75-0.93) vs. 0.68 (0.56-0.77) (small bolus), p = 0.02], respectively.
CONCLUSIONS: Based on our meta-analysis, we conclude that ∆POP and PVI are equally effective for predicting fluid responsiveness in ventilated adult patients in sinus rhythm. Prediction is more accurate when a large fluid bolus is administered.

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Year:  2012        PMID: 22732902     DOI: 10.1007/s00134-012-2621-1

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  43 in total

1.  Pulse oximetry plethysmographic waveform during changes in blood volume.

Authors:  M Shamir; L A Eidelman; Y Floman; L Kaplan; R Pizov
Journal:  Br J Anaesth       Date:  1999-02       Impact factor: 9.166

2.  Photoplethysmographic and pulse pressure variations during abdominal surgery.

Authors:  L Ø Høiseth; I E Hoff; O Skare; K A Kirkebøen; S A Landsverk
Journal:  Acta Anaesthesiol Scand       Date:  2011-09-26       Impact factor: 2.105

3.  The use of joint time frequency analysis to quantify the effect of ventilation on the pulse oximeter waveform.

Authors:  Kirk H Shelley; Aymen A Awad; Robert G Stout; David G Silverman
Journal:  J Clin Monit Comput       Date:  2006-06-01       Impact factor: 2.502

4.  Pleth variability index to monitor the respiratory variations in the pulse oximeter plethysmographic waveform amplitude and predict fluid responsiveness in the operating theatre.

Authors:  M Cannesson; O Desebbe; P Rosamel; B Delannoy; J Robin; O Bastien; J-J Lehot
Journal:  Br J Anaesth       Date:  2008-06-02       Impact factor: 9.166

5.  Poor agreement between respiratory variations in pulse oximetry photoplethysmographic waveform amplitude and pulse pressure in intensive care unit patients.

Authors:  Svein Aslak Landsverk; Lars O Hoiseth; Per Kvandal; Jonny Hisdal; Oivind Skare; Knut A Kirkeboen
Journal:  Anesthesiology       Date:  2008-11       Impact factor: 7.892

6.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  J Clin Epidemiol       Date:  2009-07-23       Impact factor: 6.437

Review 7.  Does central venous pressure predict fluid responsiveness? A systematic review of the literature and the tale of seven mares.

Authors:  Paul E Marik; Michael Baram; Bobbak Vahid
Journal:  Chest       Date:  2008-07       Impact factor: 9.410

8.  Evaluation of finger and forehead pulse oximeters during mild hypothermic cardiopulmonary bypass.

Authors:  Ken Yamaura; Kazuo Irita; Tadashi Kandabashi; Kohei Tohyama; Shosuke Takahashi
Journal:  J Clin Monit Comput       Date:  2007-06-20       Impact factor: 1.977

9.  Impact of norepinephrine on the relationship between pleth variability index and pulse pressure variations in ICU adult patients.

Authors:  Matthieu Biais; Vincent Cottenceau; Laurent Petit; Françoise Masson; Jean-François Cochard; François Sztark
Journal:  Crit Care       Date:  2011-07-12       Impact factor: 9.097

10.  Pulse oximeter as a sensor of fluid responsiveness: do we have our finger on the best solution?

Authors:  Xavier Monnet; Bouchra Lamia; Jean-Louis Teboul
Journal:  Crit Care       Date:  2005-09-28       Impact factor: 9.097

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  33 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.  Respiratory variations in the photoplethysmographic waveform amplitude depend on type of pulse oximetry device.

Authors:  Lars Øivind Høiseth; Ingrid Elise Hoff; Ove Andreas Hagen; Knut Arvid Kirkebøen; Svein Aslak Landsverk
Journal:  J Clin Monit Comput       Date:  2015-06-12       Impact factor: 2.502

3.  Understanding preload reserve using functional hemodynamic monitoring.

Authors:  Michael R Pinsky
Journal:  Intensive Care Med       Date:  2015-03-26       Impact factor: 17.440

Review 4.  Journal of Clinical Monitoring and Computing 2016 end of year summary: cardiovascular and hemodynamic monitoring.

Authors:  Bernd Saugel; Karim Bendjelid; Lester A Critchley; Steffen Rex; Thomas W L Scheeren
Journal:  J Clin Monit Comput       Date:  2017-01-07       Impact factor: 2.502

5.  Prediction of fluid responsiveness in the beach chair position using dynamic preload indices.

Authors:  Su Hyun Lee; Yong-Min Chun; Young Jun Oh; Seokyung Shin; Sang Jun Park; Soo Young Kim; Yong Seon Choi
Journal:  J Clin Monit Comput       Date:  2015-12-31       Impact factor: 2.502

Review 6.  Applied physiology at the bedside to drive resuscitation algorithms.

Authors:  Andre L Holder; Michael R Pinsky
Journal:  J Cardiothorac Vasc Anesth       Date:  2014-12       Impact factor: 2.628

7.  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

8.  Accuracy and trending of non-invasive hemoglobin measurement during different volume and perfusion statuses.

Authors:  Abdelmoneim Adel; Wael Awada; Bassant Abdelhamid; Heba Omar; Omnia Abd El Dayem; Ahmed Hasanin; Ashraf Rady
Journal:  J Clin Monit Comput       Date:  2018-01-15       Impact factor: 2.502

Review 9.  Prediction of fluid responsiveness in ventilated patients.

Authors:  Mathieu Jozwiak; Xavier Monnet; Jean-Louis Teboul
Journal:  Ann Transl Med       Date:  2018-09

Review 10.  Assessment of volume responsiveness during mechanical ventilation: recent advances.

Authors:  Xavier Monnet; Jean-Louis Teboul
Journal:  Crit Care       Date:  2013-03-19       Impact factor: 9.097

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