Low Perfusion and Missed Diagnosis of Hypoxemia by Pulse Oximetry in Darkly Pigmented Skin: A Prospective Study
BACKGROUND: Retrospective clinical trials of pulse oximeter accuracy report more frequent missed diagnoses of hypoxemia in hospitalized Black patients than White patients, differences that may contribute to racial disparities in health and health care. Retrospective studies have limitations includin...
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Published in | Anesthesia and analgesia Vol. 138; no. 3; pp. 552 - 561 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hagerstown, MD
Lippincott Williams & Wilkins
01.03.2024
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Subjects | |
Online Access | Get full text |
ISSN | 0003-2999 1526-7598 1526-7598 |
DOI | 10.1213/ANE.0000000000006755 |
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Summary: | BACKGROUND:
Retrospective clinical trials of pulse oximeter accuracy report more frequent missed diagnoses of hypoxemia in hospitalized Black patients than White patients, differences that may contribute to racial disparities in health and health care. Retrospective studies have limitations including mistiming of blood samples and oximeter readings, inconsistent use of functional versus fractional saturation, and self-reported race used as a surrogate for skin color. Our objective was to prospectively measure the contributions of skin pigmentation, perfusion index (PI), sex, and age on pulse oximeter errors in a laboratory setting.
METHODS:
We enrolled 146 healthy subjects, including 25 with light skin (Fitzpatrick class I and II), 78 with medium (class III and IV), and 43 with dark (class V and VI) skin. We studied 2 pulse oximeters (Nellcor N-595 and Masimo Radical 7) in prevalent clinical use. We analyzed 9763 matched pulse oximeter readings (pulse oximeter measured functional saturation [Spo2]) and arterial oxygen saturation (hemoximetry arterial functional oxygen saturation [Sao2]) during stable hypoxemia (Sao2 68%-100%). PI was measured as percent infrared light modulation by the pulse detected by the pulse oximeter probe, with low perfusion categorized as PI < 1%. The primary analysis was to assess the relationship between pulse oximeter bias (difference between Sao2 and Spo2) by skin pigment category in a multivariable mixed-effects model incorporating repeated-measures and different levels of Sao2 and perfusion.
RESULTS:
Skin pigment, PI, and degree of hypoxemia significantly contributed to errors (bias) in both pulse oximeters. For PI values of 1.0% to 1.5%, 0.5% to 1.0%, and <0.5%, the P value of the relationship to mean bias or median absolute bias was <.00001. In lightly pigmented subjects, only PI was associated with positive bias, whereas in medium and dark subjects bias increased with both low perfusion and degree of hypoxemia. Sex and age was not related to pulse oximeter bias. The combined frequency of missed diagnosis of hypoxemia (pulse oximeter readings 92%-96% when arterial oxygen saturation was <88%) in low perfusion conditions was 1.1% for light, 8.2% for medium, and 21.1% for dark skin.
CONCLUSIONS:
Low peripheral perfusion combined with darker skin pigmentation leads to clinically significant high-reading pulse oximeter errors and missed diagnoses of hypoxemia. Darkly pigmented skin and low perfusion states are likely the cause of racial differences in pulse oximeter performance in retrospective studies. |
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Bibliography: | Reprints will not be available from the authors. Accepted for publication August 2, 2023. This work was supported by the Gordon and Betty Moore Foundation, The Patrick J. McGovern Foundation, and funds generated from the testing of pulse oximeters. The University of California at San Francisco (UCSF) Hypoxia Research Laboratory receives funding from multiple sponsors to test the sponsors' devices for the purposes of product development and regulatory performance testing. Data in this paper do not include sponsor's study devices. All data were collected from devices procured by the Hypoxia Research Laboratory for the purposes of independent research. No company provided any direct funding for this project, participated in study design or analysis, or was involved in analyzing data or writing the article. None of the authors own stock or equity interests in any biomedical device companies. The authors declare no conflicts of interest. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's website. Presented in part at the annual meeting of the American Society of Anesthesiologists, New Orleans, October 20-23, 2022. Published online: medRxiv 2022.10.19.22281282; doi: https://doi.org/10.1101/2022.10.19.22281282. Listen to this Article of the Month podcast and more from OpenAnesthesia.org® by visiting http://journals.lww.com/anesthesia-analgesia/pages/default.aspx. Address correspondence to Philip E. Bickler, MD, PhD, Department of Anesthesia and Perioperative Care, University of California San Francisco, 513 Parnassus Ave, San Francisco, CA. Address e-mail to philip.bickler@ucsf.edu ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0003-2999 1526-7598 1526-7598 |
DOI: | 10.1213/ANE.0000000000006755 |