Cited by 268Non-Invasive Vital Sign MonitoringHemodynamic Monitoring and TherapySepsis Diagnosis and Treatment

Analysis of Discrepancies between Pulse Oximetry and Arterial Oxygen Saturation Measurements by Race and Ethnicity and Association with Organ Dysfunction and Mortality

Open access
Wong, An-Kwok Ian, Charpignon, Marie, Kim, Han, Josef, Christopher, de Hond, Anne A. H., Fojas, Jhalique Jane, Tabaie, Azade, Liu, Xiaoli +10 more·2021·JAMA Network Open

Abstract

Importance: Discrepancies in oxygen saturation measured by pulse oximetry (Spo2), when compared with arterial oxygen saturation (Sao2) measured by arterial blood gas (ABG), may differentially affect patients according to race and ethnicity. However, the association of these disparities with health outcomes is unknown. Objective: To examine racial and ethnic discrepancies between Sao2 and Spo2 measures and their associations with clinical outcomes. Design, Setting, and Participants: This multicenter, retrospective, cross-sectional study included 3 publicly available electronic health record (EHR) databases (ie, the Electronic Intensive Care Unit-Clinical Research Database and Medical Information Mart for Intensive Care III and IV) as well as Emory Healthcare (2014-2021) and Grady Memorial (2014-2020) databases, spanning 215 hospitals and 382 ICUs. From 141 600 hospital encounters with recorded ABG measurements, 87 971 participants with first ABG measurements and an Spo2 of at least 88% within 5 minutes before the ABG test were included. Exposures: Patients with hidden hypoxemia (ie, Spo2 ≥88% but Sao2 <88%). Main Outcomes and Measures: Outcomes, stratified by race and ethnicity, were Sao2 for each Spo2, hidden hypoxemia prevalence, initial demographic characteristics (age, sex), clinical outcomes (in-hospital mortality, length of stay), organ dysfunction by scores (Sequential Organ Failure Assessment [SOFA]), and laboratory values (lactate and creatinine levels) before and 24 hours after the ABG measurement. Results: The first Spo2-Sao2 pairs from 87 971 patient encounters (27 713 [42.9%] women; mean [SE] age, 62.2 [17.0] years; 1919 [2.3%] Asian patients; 26 032 [29.6%] Black patients; 2397 [2.7%] Hispanic patients, and 57 632 [65.5%] White patients) were analyzed, with 4859 (5.5%) having hidden hypoxemia. Hidden hypoxemia was observed in all subgroups with varying incidence (Black: 1785 [6.8%]; Hispanic: 160 [6.0%]; Asian: 92 [4.8%]; White: 2822 [4.9%]) and was associated with greater organ dysfunction 24 hours after the ABG measurement, as evidenced by higher mean (SE) SOFA scores (7.2 [0.1] vs 6.29 [0.02]) and higher in-hospital mortality (eg, among Black patients: 369 [21.1%] vs 3557 [15.0%]; P < .001). Furthermore, patients with hidden hypoxemia had higher mean (SE) lactate levels before (3.15 [0.09] mg/dL vs 2.66 [0.02] mg/dL) and 24 hours after (2.83 [0.14] mg/dL vs 2.27 [0.02] mg/dL) the ABG test, with less lactate clearance (-0.54 [0.12] mg/dL vs -0.79 [0.03] mg/dL). Conclusions and Relevance: In this study, there was greater variability in oxygen saturation levels for a given Spo2 level in patients who self-identified as Black, followed by Hispanic, Asian, and White. Patients with and without hidden hypoxemia were demographically and clinically similar at baseline ABG measurement by SOFA scores, but those with hidden hypoxemia subsequently experienced higher organ dysfunction scores and higher in-hospital mortality.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1001/jamanetworkopen.2021.31674

Cites

24 of 26 references verified1 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Overestimated SpO2 readings in patients with darker skin pigmentation lead to lower hospital admission, higher occult hypoxemia, delayed or no access to dexamethasone, therapeutic oxygen, and COVID-19 therapies, resulting in increased hospital readmission, organ dysfunction, and mortality.

    “leading to lower hospital admission; higher occult hypoxemia; and delayed or no access to dexamethasone, therapeutic oxygen, and COVID-19 therapies, resulting in increased hospital readmission, organ dysfunction, and mortality [11-18].”

    From Impact of skin pigmentation on pulse oximetry blood oxygenation and wearable pulse rate accuracy: systematic review and meta-analysis (2024) · cites this paper as [15]

    Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.

    Experimental — accuracy not yet measured
  • Patients with darker skin pigmentation are more likely than patients with lighter skin color to have overestimated SpO2 readings.

    “Patients with darker skin pigmentation are more likely than patients with lighter skin color to have overestimated SpO2 readings”
  • More recent studies have revealed that dark skin pigmentation influences the accuracy and performance of pulse oximeter devices, resulting in overestimations, with increased incidence in the risk for occult hypoxemia (SO2<88% despite normal SpO2>92%).

    “More recent studies have also revealed that dark skin pigmentation influences the accuracy and performance of pulse oximeters devices, resulting in overestimations [17,49,50,51,52,53] with increased incidence in the risk for occult hypoxemia (SO2<88% despite normal SpO2>92%) [54,55].”
  • Recent studies have shown a positive bias in oxygen saturation measurements in patients with darkly pigmented skin, particularly under low saturation conditions.

    “Recent studies have shown a positive bias in oxygen saturation measurements in patients with darkly pigmented skin, particularly under low saturation conditions.”
  • Several health organizations and healthcare professionals have raised growing concerns about the clinical accuracy of pulse oximetry in dark-skinned patients, particularly in detecting occult hypoxemia.

    “Due to this increasing evidence, several health organizations and healthcare professionals have raised growing concerns about the clinical accuracy of pulse oximetry in dark-skinned patients [20,57,58,59,60,61], particularly in detecting occult hypoxemia [54,55].”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wong, A.-K. I., Charpignon, M., Kim, H., Josef, C., de Hond, A. A. H., Fojas, J. J., Tabaie, A., Liu, X., Mireles-Cabodevila, E., Carvalho, L., Kamaleswaran, R., Madushani, R. W. M. A., Adhikari, L., Holder, A. L., Steyerberg, E. W., Buchman, T. G., Lough, M. E., & Celi, L. A.
Affiliations
  • Emory University (US)
  • Massachusetts Institute of Technology (US)
  • Johns Hopkins University (US)
  • Leiden University Medical Centre, Department of Biomedical Data Sciences, Leiden, the Netherlands
  • Beth Israel Deaconess Medical Center (US)
  • Beihang University (CN)
  • School of Biological Science and Medical Engineering, Beihang University, Beijing, China
  • Cleveland Clinic (US)
  • Boston Medical Center (US)
  • Philips (United States) (US)
  • Leiden University Medical Center (NL)
  • Stanford Health Care (US)
Corresponding author
Wong, An-Kwok Ian
Venue
JAMA Network Open
Published
2021-11-03
Volume
4
Issue
11
Pages
e2131674
ISSN
2574-3805 (ISSN-L)
OpenAlex
W3210241905
Cited by
268
References
25
Citations by year
2026: 26 · 2025: 53 · 2024: 62 · 2023: 67 · 2022: 60
FWCI
14.36
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • JAMA Network Open (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Leiden Repository (Leiden University) (submittedVersion, cc-by)
  • Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
  • U.S. Department of Defense
  • National Institutes of Health (5r01eb017205-07, R01-EB017205, EB017205, NIBIB R01 EB017205, UL1TR002378)
  • Uniformed Services University of the Health Sciences (HT9404-13-1-0032, HU0001, USUHS HT9404-13-1-0032, HU0001-15-2-0001)
  • Biomedical Advanced Research and Development Authority
  • National Institute of General Medical Sciences (K23GM137182, T32GM095442, R01GM139967)
  • National Institute of Biomedical Imaging and Bioengineering (NIBIB R01 EB017205, R01-EB017205, EB017205)
  • National Center for Advancing Translational Sciences
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
  • Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
  • Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
Keywords
pulse oximetry, arterial oxygen saturation, racial and ethnic disparities, arterial blood gases, intensive care unit patients, organ dysfunction, SOFA score, in-hospital mortality, length of hospital stay, lactate, creatinine, Black patients, Hispanic patients, health disparities, hypoxemia detection
MeSH terms
Oxygen Saturation, Aged, Hypoxia, Creatinine, Cross-Sectional Studies, Ethnicity, Female, Georgia, Humans, Male, Middle Aged, Multiple Organ Failure, Oximetry, Retrospective Studies, Racial Groups

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review