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      Assessment of skin pigmentation-related bias in pulse oximetry readings among adults

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          Abstract

          Purpose

          Recent reports that pulse oximeters may overestimate oxygen saturation in individuals with darker skin pigmentation have prompted concerns from regulatory authorities regarding racial bias. We investigated the performance of TruSignal SpO2 sensors (GE Healthcare, Helsinki, Finland) in adults with varying skin pigmentation.

          Methods

          A retrospective study was conducted using a set of pooled assessments of SpO2/SaO2 measurements from nine studies to assess bias, accuracy (A rms), and precision of TruSignal sensors in healthy adults under induced hypoxia. Subgroup analyses were performed based on oxygen saturation levels (band 1, ≥ 70 and ≤ 80%; band 2, > 80 and ≤ 90%; band 3, > 90 and ≤ 100%).

          Results

          Of the 10,800 data points from 131 individuals, 8,202 (75.9%) and 2,598 (24.1%) were assigned to the light and dark pigment groups, respectively. Bias was 0.14% overall and less than 1% across oxygenation bands. The difference in bias between dark and light pigment groups was statistically significant at the low oxygenation band with SpO2 ≥ 70 and ≤ 80% (+ 0.58% and + 0.30% respectively; p = 0.0035). Throughout the saturation range, A rms was 1.64% in the light and 1.71% in the dark pigment group, within device specifications and regulatory requirements. Oxygenation was the dominating factor in stepwise ANOVA modeling. The mixed model also showed that bias was strongly affected by the oxygenation range.

          Conclusion

          TruSignal sensors demonstrated higher bias at lower oxygen saturation, with less than 0.5% difference between pigment groups. These findings raise new questions, such as ways to improve pulse oximetry measurements during challenging clinical conditions, including low perfusion.

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          Most cited references15

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Racial Bias in Pulse Oximetry Measurement

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              Dark skin decreases the accuracy of pulse oximeters at low oxygen saturation: the effects of oximeter probe type and gender.

              Pulse oximetry may overestimate arterial oxyhemoglobin saturation (Sao2) at low Sao2 levels in individuals with darkly pigmented skin, but other factors, such as gender and oximeter probe type, remain less studied. We studied the relationship between skin pigment and oximeter accuracy in 36 subjects (19 males, 17 females) of a range of skin tones. Clip-on type sensors and adhesive/disposable finger probes for the Masimo Radical, Nellcor N-595, and Nonin 9700 were studied. Semisupine subjects breathed air-nitrogen-CO2 mixtures via a mouthpiece to rapidly achieve 2- to 3-min stable plateaus of Sao2. Comparisons of Sao2 measured by pulse oximetry (Spo2) with Sao2 (by Radiometer OSM-3) were used in a multivariate model to assess the source of errors. The mean bias (Spo2 - Sao2) for the 70%-80% saturation range was 2.61% for the Masimo Radical with clip-on sensor, -1.58% for the Radical with disposable sensor, 2.59% for the Nellcor clip, 3.6% for the Nellcor disposable, -0.60% for the Nonin clip, and 2.43% for the Nonin disposable. Dark skin increased bias at low Sao2; greater bias was seen with adhesive/disposable sensors than with the clip-on types. Up to 10% differences in saturation estimates were found among different instruments in dark-skinned subjects at low Sao2. Multivariate analysis indicated that Sao2 level, sensor type, skin color, and gender were predictive of errors in Spo2 estimates at low Sao2 levels. The data suggest that clinically important bias should be considered when monitoring patients with saturations below 80%, especially those with darkly pigmented skin; but further study is needed to confirm these observations in the relevant populations.
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                Author and article information

                Contributors
                akhanna@wakehealth.edu
                Journal
                J Clin Monit Comput
                J Clin Monit Comput
                Journal of Clinical Monitoring and Computing
                Springer Netherlands (Dordrecht )
                1387-1307
                1573-2614
                26 October 2023
                26 October 2023
                2024
                : 38
                : 1
                : 113-120
                Affiliations
                [1 ]Department of Anesthesiology, Section on Critical Care Medicine, Wake Forest School of Medicine, Atrium Health Wake Forest Baptist Medical Center, ( https://ror.org/04v8djg66) Winston-Salem, NC USA
                [2 ]Outcomes Research Consortium, ( https://ror.org/041w69847) Cleveland, OH USA
                [3 ]Perioperative Outcomes and Informatics Collaborative (POIC), Winston-Salem, NC USA
                [4 ]GE HealthCare – Patient Care Solutions, Milwaukee, WI USA
                [5 ]GRID grid.488240.2, ISNI 0000 0004 0409 6409, GE HealthCare – Patient Care Solutions, ; Helsinki, Finland
                [6 ]VTT Technical Research Centre of Finland Ltd, ( https://ror.org/04b181w54) Espoo, Finland
                [7 ]GRID grid.518881.d, ISNI 0000 0004 6771 9028, Boston Strategic Partners Inc, ; Boston, MA USA
                Article
                1095
                10.1007/s10877-023-01095-1
                10879215
                37882880
                89091edc-f701-4b82-8cff-25572a2f29bc
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 March 2023
                : 9 October 2023
                Categories
                Original Research
                Custom metadata
                © Springer Nature B.V. 2024

                Medicine
                pulse oximetry,measurement,hypoxemia,racial bias,skin pigmentation
                Medicine
                pulse oximetry, measurement, hypoxemia, racial bias, skin pigmentation

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