Literature DB >> 17525584

Respiratory variations in pulse oximetry plethysmographic waveform amplitude to predict fluid responsiveness in the operating room.

Maxime Cannesson1, Yassin Attof, Pascal Rosamel, Olivier Desebbe, Pierre Joseph, Olivier Metton, Olivier Bastien, Jean-Jacques Lehot.   

Abstract

BACKGROUND: Respiratory variations in pulse oximetry plethysmographic waveform amplitude (DeltaPOP) are related to respiratory variations in pulse pressure (DeltaPP) and are sensitive to changes in preload. The authors hypothesized that DeltaPOP can predict fluid responsiveness in mechanically ventilated patients during general anesthesia.
METHODS: Twenty-five patients referred for cardiac surgery were studied after induction of general anesthesia. Hemodynamic data (cardiac index, central venous pressure, pulmonary capillary wedge pressure, DeltaPP, and DeltaPOP) were recorded before and after volume expansion (500 ml hetastarch, 6%). Fluid responsiveness was defined as an increase in cardiac index of 15% or greater.
RESULTS: Volume expansion induced changes in cardiac index (2.0+/-0.4 to 2.3+/-0.5 mmHg; P<0.05), DeltaPP (11+/-7 to 6+/-5%; P<0.05), and DeltaPOP (12+/-9 to 7+/-5%; P<0.05). DeltaPOP and DeltaPP were higher in responders than in nonresponders (17+/-8 vs. 6+/-4 and 14+/-7 vs. 6+/-4%, respectively; P<0.05 for both). A DeltaPOP greater than 13% before volume expansion allowed discrimination between responders and nonresponders with 80% sensitivity and 90% specificity. There was a significant relation between DeltaPOP before volume expansion and percent change in cardiac index after volume expansion (r=0.62; P<0.05).
CONCLUSIONS: DeltaPOP can predict fluid responsiveness noninvasively in mechanically ventilated patients during general anesthesia. This index has potential clinical applications.

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Year:  2007        PMID: 17525584     DOI: 10.1097/01.anes.0000267593.72744.20

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  48 in total

1.  Relations between respiratory changes in R-wave amplitude and arterial pulse pressure in mechanically ventilated patients.

Authors:  Maxime Cannesson; Geoffray Keller; Olivier Desebbe; Jean-Jacques Lehot
Journal:  J Clin Monit Comput       Date:  2010-05-11       Impact factor: 2.502

2.  Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers part 2: frequency domain analysis.

Authors:  Aymen A Alian; Nicholas J Galante; Nina S Stachenfeld; David G Silverman; Kirk H Shelley
Journal:  J Clin Monit Comput       Date:  2011-11-06       Impact factor: 2.502

3.  Pulse oximeter plethysmograph variation and its relationship to the arterial waveform in mechanically ventilated children.

Authors:  J R Chandler; E Cooke; C Petersen; W Karlen; N Froese; J Lim; J M Ansermino
Journal:  J Clin Monit Comput       Date:  2012-03-10       Impact factor: 2.502

Review 4.  Accuracy of plethysmographic indices as predictors of fluid responsiveness in mechanically ventilated adults: a systematic review and meta-analysis.

Authors:  Claudio Sandroni; Fabio Cavallaro; Cristina Marano; Chiara Falcone; Paolo De Santis; Massimo Antonelli
Journal:  Intensive Care Med       Date:  2012-06-26       Impact factor: 17.440

Review 5.  Pulse pressure variation: where are we today?

Authors:  Maxime Cannesson; Mateo Aboy; Christoph K Hofer; Mohamed Rehman
Journal:  J Clin Monit Comput       Date:  2011-02       Impact factor: 2.502

6.  [Perioperative fluid and volume management. Goal-directed therapy necessary!].

Authors:  A E Goetz; K Heckel
Journal:  Anaesthesist       Date:  2007-08       Impact factor: 1.041

7.  Comment on "Plethysmographic dynamic indices predict fluid responsiveness in septic ventilated patients" by Feissel et al.

Authors:  Maxime Cannesson; Olivier Desebbe; Jean-Jacques Lehot
Journal:  Intensive Care Med       Date:  2007-07-28       Impact factor: 17.440

8.  Sources and implications of whole-brain fMRI signals in humans.

Authors:  Jonathan D Power; Mark Plitt; Timothy O Laumann; Alex Martin
Journal:  Neuroimage       Date:  2016-10-15       Impact factor: 6.556

9.  Estimating Surgical Blood Loss Volume Using Continuously Monitored Vital Signs.

Authors:  Yang Chen; Chengcheng Hong; Michael R Pinsky; Ting Ma; Gilles Clermont
Journal:  Sensors (Basel)       Date:  2020-11-17       Impact factor: 3.576

Review 10.  Systematic review including re-analyses of 1148 individual data sets of central venous pressure as a predictor of fluid responsiveness.

Authors:  T G Eskesen; M Wetterslev; A Perner
Journal:  Intensive Care Med       Date:  2015-12-09       Impact factor: 17.440

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