Variability in estimating shunt from single pulse oximetry measurements

Virtual shunt describes the overall loss of O2 content between the alveolar gas and arterial blood. Clinicians indirectly estimate the magnitude of the virtual shunt by monitoring peripheral blood oxygen saturation (SpO2) using non-invasive pulse oximetry. An inherent limitation of this method is the variable precision of pulse oximeters and the non-linear relationship between virtual shunt and SpO2 which is rarely depicted.We propose a model using a combination of basic physiological equations to analyze the estimation of virtual shunt from inspired oxygen (FiO2) and SpO2. The model emphasizes the effect of the non-linearity of the Hb-O2 dissociation curve. Furthermore, it accounts for the variability in SpO2 measurements due to the precision of pulse oximeters.The model was validated with experiments conducted on healthy subjects in a normobaric hypoxia chamber comparing the simultaneous readings from two different commercial pulse oximeters at FiO2 = 21% and 17%. SpO2 probability distributions calculated from the model were estimated. Although a variable bias (1.2-2.1%) in SpO2 between the pulse oximeter brands was observed, the tested pulse oximeters were both within tolerance specified by the manufacturers and matched the probability distributions from the model.The theoretical and experimental findings show that the estimation of virtual shunt is challenging with a single SpO2 measurement using pulse oximeters with tolerances of 2%. Clinical decisions must be based on an appreciation of these limitations.

[1]  S. Weininger Effective Standards and Regulatory Tools for Respiratory Gas Monitors and Pulse Oximeters: The Role of the Engineer and Clinician , 2007, Anesthesia and analgesia.

[2]  L. Duembgen,et al.  Hemoximetry as the “Gold Standard”? Error Assessment Based on Differences Among Identical Blood Gas Analyzer Devices of Five Manufacturers , 2007, Anesthesia and analgesia.

[3]  George Panoutsos,et al.  Intelligent model-based advisory system for the management of ventilated intensive care patients: Hybrid blood gas patient model , 2010, Comput. Methods Programs Biomed..

[4]  P. Mannheimer,et al.  The Light–Tissue Interaction of Pulse Oximetry , 2007, Anesthesia and analgesia.

[5]  R. Ellis Determination of PO2 from saturation. , 1989, Journal of applied physiology.

[6]  J. Severinghaus Simple, accurate equations for human blood O2 dissociation computations. , 1979, Journal of applied physiology: respiratory, environmental and exercise physiology.

[7]  J. Jones,et al.  Discriminating Between the Effect of Shunt and Reduced VA/Q on Arterial Oxygen Saturation is Particularly Useful in Clinical Practice , 2004, Journal of Clinical Monitoring and Computing.

[8]  Steen Andreassen,et al.  Minimal model quantification of pulmonary gas exchange in intensive care patients. , 2011, Medical engineering & physics.

[9]  F. Lemaire,et al.  Accuracy of pulse oximetry in the intensive care unit , 2001, Intensive Care Medicine.

[10]  M. Wukitsch,et al.  Pulse oximetry: Analysis of theory, technology, and practice , 1988, Journal of Clinical Monitoring.

[11]  R. K. Webb,et al.  Potential errors in pulse oximetry , 1991, Anaesthesia.

[12]  Yue Xiu-li,et al.  Multifunctional magnetic nanoparticles for magnetic resonance image-guided photothermal therapy for cancer , 2014 .

[13]  J F Nunn,et al.  Modification of the iso-shunt lines for low inspired oxygen concentrations. , 1994, British journal of anaesthesia.

[14]  Walter Karlen,et al.  Design challenges for camera oximetry on a mobile phone , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Walter Karlen,et al.  Human-centered Phone Oximeter Interface Design for the Operating Room - Pulse Oximeter Interfaced to a Mobile Device for Anesthesia Monitoring in the Developing World , 2011, HEALTHINF.

[16]  J F Nunn,et al.  The use of iso-shunt lines for control of oxygen therapy. , 1973, British journal of anaesthesia.

[17]  T. Fitzpatrick The validity and practicality of sun-reactive skin types I through VI. , 1988, Archives of dermatology.

[18]  Steen Andreassen,et al.  Non-invasive estimation of shunt and ventilation-perfusion mismatch , 2003, Intensive Care Medicine.

[19]  M. Myers Automated blood pressure measurement in routine clinical practice , 2006, Blood pressure monitoring.

[20]  Sapsford Dj,et al.  The PIO2 vs. SpO2 diagram: a non-invasive measure of pulmonary oxygen exchange. , 1995 .

[21]  Knut Möller,et al.  A simple gas exchange model predicting arterial oxygen content for various FiO2 levels , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).