Literature DB >> 10364990

Pulse oximetry plethysmographic waveform during changes in blood volume.

M Shamir1, L A Eidelman, Y Floman, L Kaplan, R Pizov.   

Abstract

Systolic pressure variation (SPV) and its dDown component have been shown to be sensitive factors in estimating intravascular volume in patients undergoing mechanical ventilation. In this study, ventilation-induced changes in pulse oximeter plethysmographic waveform were evaluated after removal and after reinfusion of 10% estimated blood volume. The plethysmographic waveform variation (SPVplet) was measured as the difference between maximal and minimal peaks of waveform during the ventilatory cycle, and expressed as a percentage of the signal amplitude during apnoea. dUp(plet) and dDown(plet) were measured as the distance between the apnoeic plateau and the maximal or minimal plethysmographic systolic waveform, respectively. Intravascular volume was changed by removal of 10% of estimated blood volume and followed by equal volume replacement with Haemaccel. A 10% decrease in blood volume increased SPVplet from mean 17.0 (SD 11.8)% to 31.6 (28.0)% (P = 0.005) and dDown(plet) from 8.7 (5.1)% to 20.5 (12.9)% (P = 0.0005) compared with baseline. Changes in plethysmographic waveform correlated with changes in arterial SPV and dDown (r = 0.85; P = 0.0009). In the absence of invasive arterial pressure monitoring, ventilation-induced waveform variability of the plethysmographic signal measured from pulse oximetry is a useful tool in the detection of mild hypovolaemia.

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Year:  1999        PMID: 10364990     DOI: 10.1093/bja/82.2.178

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  36 in total

1.  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

2.  Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers. Part 1: time domain analysis.

Authors:  Aymen A Alian; Nicholas J Galante; Nina S Stachenfeld; David G Silverman; Kirk H Shelley
Journal:  J Clin Monit Comput       Date:  2011-11-04       Impact factor: 2.502

3.  Pulse-plethysmographic variables in hemodynamic assessment during mannitol infusion.

Authors:  M Radhakrishnan; K Mohanvelu; S Veena; G Sripathy; G S Umamaheswara Rao
Journal:  J Clin Monit Comput       Date:  2012-02-09       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

5.  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

6.  Analysis of the ear pulse oximeter waveform.

Authors:  Aymen A Awad; Robert G Stout; M Ashraf M Ghobashy; Hoda A Rezkanna; David G Silverman; Kirk H Shelley
Journal:  J Clin Monit Comput       Date:  2006-04-13       Impact factor: 2.502

7.  Using the morphology of photoplethysmogram peaks to detect changes in posture.

Authors:  Stephen P Linder; Suzanne M Wendelken; Edward Wei; Susan P McGrath
Journal:  J Clin Monit Comput       Date:  2006-05-11       Impact factor: 2.502

8.  Comment on "Pulse oximetry" by Jubran.

Authors:  Aikaterini Maliaga; Stavroula Boulia; Charalampos Martinos; Ilias Andrianakis
Journal:  Intensive Care Med       Date:  2007-02-02       Impact factor: 17.440

9.  Alar photoplethysmography: a new methodology for monitoring fluid removal and carotid circulation during hemodialysis.

Authors:  Brian Fuehrlein; Richard Melker; Edward A Ross
Journal:  J Clin Monit Comput       Date:  2007-05-25       Impact factor: 2.502

10.  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

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