Literature DB >> 17940842

The relationship between the photoplethysmographic waveform and systemic vascular resistance.

Aymen A Awad1, Ala S Haddadin, Hossam Tantawy, Tarek M Badr, Robert G Stout, David G Silverman, Kirk H Shelley.   

Abstract

OBJECTIVE: The objective of this study was to determine the relationship between systemic vascular resistance (SVR), finger & ear photoplethysmographic measurements in 14 adult patients undergoing coronary artery bypass grafting (CABG).
METHODS: Patients were monitored with photoplethysmographs of the finger and ear and continuous cardiac output (QT) via thermodilution catheter. The relationship between SVR, finger plethysmographic amplitude, width and ear plethysmographic amplitude, width was assessed with linear regression.
RESULTS: The finger plethysmographic amplitude had a low correlation r value = -0.15, while finger plethysmographic width had a better correlation r value = 0.56. The correlation between SVR and ear plethysmographic amplitude and width were -0.24 and 0.62 respectively. Using receiver operating characteristic analysis the ear plethysmographic width had both better sensitivity and specificity than the finger plethysmographic width in identifying high and low SVR. Using a multiple regression analysis, SVR was estimated from the pulse oximeter waveforms: SVR calculated = 27.27 + (3978.53 x Ear pulse oximeter width) - (8.91 x Ear pulse oximeter area) + (1986.3 x Finger pulse oximeter width). Bland-Altman analysis was used the bias was 29.8 dynes s cm(-5), standard deviation was 587.3, upper and lower limit of agreement were 1204.45, and -1144.8 dynes s cm(-5) respectively.
CONCLUSION: The data indicate that pulse width of finger and ear plethysmographic tracing are more sensitive to changes in SVR than the other indices. An appreciation of changes in pulse width may provide valuable evidence with respect to changes in peripheral vascular tone.

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Year:  2007        PMID: 17940842     DOI: 10.1007/s10877-007-9097-5

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


  9 in total

1.  Different responses of ear and finger pulse oximeter wave form to cold pressor test.

Authors:  A A Awad; M A Ghobashy; W Ouda; R G Stout; D G Silverman; K H Shelley
Journal:  Anesth Analg       Date:  2001-06       Impact factor: 5.108

2.  Noninvasive measurement of systemic vascular resistance using Doppler echocardiography.

Authors:  Amr E Abbas; F David Fortuin; Bhavesh Patel; Carlos A Moreno; Nelson B Schiller; Steven J Lester
Journal:  J Am Soc Echocardiogr       Date:  2004-08       Impact factor: 5.251

3.  Haemodynamic measurements (continuous cardiac output and systemic vascular resistance) in critically ill patients: transoesophageal Doppler versus continuous thermodilution.

Authors:  C Baillard; Y Cohen; J P Fosse; P Karoubi; P Hoang; M Cupa
Journal:  Anaesth Intensive Care       Date:  1999-02       Impact factor: 1.669

4.  Skin vasomotor reflex as a measure of depth of anesthesia.

Authors:  T Ezri; A Steinmetz; D Geva; P Szmuk
Journal:  Anesthesiology       Date:  1998-11       Impact factor: 7.892

5.  The new pulmonary artery catheters: continuous venous oximetry, right ventricular ejection fraction, and continuous cardiac output.

Authors:  L D Nelson
Journal:  New Horiz       Date:  1997-08

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

7.  How does the plethysmogram derived from the pulse oximeter relate to arterial blood pressure in coronary artery bypass graft patients?

Authors:  A A Awad; M A Ghobashy; R G Stout; D G Silverman; K H Shelley
Journal:  Anesth Analg       Date:  2001-12       Impact factor: 5.108

8.  Comparison of plethysmograms taken from finger and pinna during anaesthesia.

Authors:  J A Nijboer; J C Dorlas
Journal:  Br J Anaesth       Date:  1985-05       Impact factor: 9.166

9.  A method for continuous on-line monitoring of systemic vascular resistance (COMS) after open heart procedures.

Authors:  R Mohr; O Meir; A Smolinsky; D A Goor
Journal:  J Cardiovasc Surg (Torino)       Date:  1987 Sep-Oct       Impact factor: 1.888

  9 in total
  16 in total

1.  Investigation of peripheral photoplethysmographic morphology changes induced during a hand-elevation study.

Authors:  Michelle Hickey; Justin P Phillips; Panayiotis A Kyriacou
Journal:  J Clin Monit Comput       Date:  2015-08-29       Impact factor: 2.502

2.  Angle-selective optical filter for highly sensitive reflection photoplethysmogram.

Authors:  Chan-Sol Hwang; Sung-Pyo Yang; Kyung-Won Jang; Jung-Woo Park; Ki-Hun Jeong
Journal:  Biomed Opt Express       Date:  2017-09-07       Impact factor: 3.732

3.  Photoplethysmographic characterization of vascular tone mediated changes in arterial pressure: an observational study.

Authors:  Gerardo Tusman; Cecilia M Acosta; Sven Pulletz; Stephan H Böhm; Adriana Scandurra; Jorge Martinez Arca; Matías Madorno; Fernando Suarez Sipmann
Journal:  J Clin Monit Comput       Date:  2018-12-15       Impact factor: 2.502

4.  Wrist pulse signal based vascular age calculation using mixed Gaussian model and support vector regression.

Authors:  Qingfeng Tang; Shoujiang Xu; Mengjuan Guo; Guangjun Wang; Zhigeng Pan; Benyue Su
Journal:  Health Inf Sci Syst       Date:  2022-04-21

5.  Assessment of postoperative pain intensity by using photoplethysmography.

Authors:  Peng Ling; Yu Siyuan; Wei Wei; Gong Quan; Gao Bo
Journal:  J Anesth       Date:  2014-05-15       Impact factor: 2.078

6.  Blood Pressure Estimation Using Photoplethysmography Only: Comparison between Different Machine Learning Approaches.

Authors:  Syed Ghufran Khalid; Jufen Zhang; Fei Chen; Dingchang Zheng
Journal:  J Healthc Eng       Date:  2018-10-23       Impact factor: 2.682

Review 7.  On the analysis of fingertip photoplethysmogram signals.

Authors:  Mohamed Elgendi
Journal:  Curr Cardiol Rev       Date:  2012-02

8.  Estimation of cardiac output and systemic vascular resistance using a multivariate regression model with features selected from the finger photoplethysmogram and routine cardiovascular measurements.

Authors:  Qim Y Lee; Stephen J Redmond; Gregory Sh Chan; Paul M Middleton; Elizabeth Steel; Philip Malouf; Cristopher Critoph; Gordon Flynn; Emma O'Lone; Nigel H Lovell
Journal:  Biomed Eng Online       Date:  2013-03-04       Impact factor: 2.819

9.  The photoplethysmographic amplitude to pulse pressure ratio can track sudden changes in vascular compliance and resistance during liver graft reperfusion: A beat-to-beat analysis.

Authors:  Wook-Jong Kim; Jung-Won Kim; Young-Jin Moon; Sung-Hoon Kim; Gyu-Sam Hwang; Won-Jung Shin
Journal:  Medicine (Baltimore)       Date:  2017-06       Impact factor: 1.889

10.  Innovative Multi-Site Photoplethysmography Analysis for Quantifying Pulse Amplitude and Timing Variability Characteristics in Peripheral Arterial Disease.

Authors:  Michael Bentham; Gerard Stansby; John Allen
Journal:  Diseases       Date:  2018-09-17
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