Literature DB >> 26067403

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

Lars Øivind Høiseth1,2, Ingrid Elise Hoff3,4, Ove Andreas Hagen3, Knut Arvid Kirkebøen5,3, Svein Aslak Landsverk3.   

Abstract

Respiratory variations in the photoplethysmographic waveform amplitude predict fluid responsiveness under certain conditions. Processing of the photoplethysmographic signal may vary between different devices, and may affect respiratory amplitude variations calculated by the standard formula. The aim of the present analysis was to explore agreement between respiratory amplitude variations calculated using photoplethysmographic waveforms available from two different pulse oximeters. Analysis of registrations before and after fluid loads performed before and after open-heart surgery (aortic valve replacement and/or coronary artery bypass grafting) with patients on controlled mechanical ventilation. Photoplethysmographic (Nellcor and Masimo pulse oximeters) and arterial pressure waveforms were recorded. Amplitude variations induced by ventilation were calculated and averaged over ten respiratory cycles. Agreements for absolute values are presented in scatterplots (with least median square regression through the origin, LMSO) and Bland-Altman plots. Agreement for trending presented in a four-quadrant plot. Agreement between respiratory photoplethysmographic amplitude variations from the two pulse oximeters was poor with LMSO ΔPOPNellc = 1.5 × ΔPOPMas and bias ± limits of agreement 7.4 ± 23 %. Concordance rate with a fluid load was 91 %. Agreement between respiratory variations in the photoplethysmographic waveform amplitude calculated from the available signals output by two different pulse oximeters was poor, both evaluated by LMSO and Bland-Altman plot. Respiratory amplitude variations from the available signals output by these two pulse oximeters are not interchangeable.

Entities:  

Keywords:  Aortic valve stenosis; Blood volume; Coronary artery bypass; Monitoring; Photoplethysmography; Physiologic

Mesh:

Year:  2015        PMID: 26067403     DOI: 10.1007/s10877-015-9720-9

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  25 in total

1.  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

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.  Dynamic variables of fluid responsiveness during pneumoperitoneum and laparoscopic surgery.

Authors:  L Ø Høiseth; I E Hoff; K Myre; S A Landsverk; K A Kirkebøen
Journal:  Acta Anaesthesiol Scand       Date:  2012-01-31       Impact factor: 2.105

4.  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

Review 5.  Monitoring volume and fluid responsiveness: from static to dynamic indicators.

Authors:  Laurent Guerin; Xavier Monnet; Jean-Louis Teboul
Journal:  Best Pract Res Clin Anaesthesiol       Date:  2013-06

6.  Can changes in arterial pressure be used to detect changes in cardiac output during volume expansion in the perioperative period?

Authors:  Yannick Le Manach; Christoph K Hofer; Jean-Jacques Lehot; Benoît Vallet; Jean-Pierre Goarin; Benoît Tavernier; Maxime Cannesson
Journal:  Anesthesiology       Date:  2012-12       Impact factor: 7.892

7.  Modulation of finger photoplethysmographic traces during forced respiration: venous blood in motion?

Authors:  Justin P Phillips; Alla Belhaj; Kamran Shafqat; Richard M Langford; Kirk H Shelley; Panayiotis A Kyriacou
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

8.  Dynamic variables and fluid responsiveness in patients for aortic stenosis surgery.

Authors:  L Ø Høiseth; I E Hoff; O A Hagen; S A Landsverk; K A Kirkebøen
Journal:  Acta Anaesthesiol Scand       Date:  2014-04-29       Impact factor: 2.105

Review 9.  Respiration signals from photoplethysmography.

Authors:  Lena M Nilsson
Journal:  Anesth Analg       Date:  2013-02-28       Impact factor: 5.108

10.  Comparing the effect of arginine vasopressin on ear and finger photoplethysmography.

Authors:  Denis H Jablonka; Aymen A Awad; Robert G Stout; David G Silverman; Kirk H Shelley
Journal:  J Clin Anesth       Date:  2008-03       Impact factor: 9.452

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  3 in total

Review 1.  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

2.  Photoplethysmography respiratory rate monitoring in patients receiving procedural sedation and analgesia for upper gastrointestinal endoscopy.

Authors:  Hugo R W Touw; Milou H Verheul; Pieter R Tuinman; Jeroen Smit; Deirdre Thöne; Patrick Schober; Christa Boer
Journal:  J Clin Monit Comput       Date:  2016-05-28       Impact factor: 2.502

3.  Respiratory variations in pulse pressure and photoplethysmographic waveform amplitude during positive expiratory pressure and continuous positive airway pressure in a model of progressive hypovolemia.

Authors:  Ingrid Elise Hoff; Jonny Hisdal; Svein Aslak Landsverk; Jo Røislien; Knut Arvid Kirkebøen; Lars Øivind Høiseth
Journal:  PLoS One       Date:  2019-09-27       Impact factor: 3.240

  3 in total

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