More than half of patients who never had their oxygen treatment eligibility recognized were Black<\/sub><\/p>\n<\/h3>\n <\/b><\/p>\n <\/b><\/p>\n FRIDAY, June 3, 2022 (HealthDay News) — Asian, Black, and Hispanic patients with COVID-19 have persistent overestimation of arterial oxygen saturation, according to a study published online May 31 in JAMA Internal Medicine<\/em>.<\/p>\n Ashraf Fawzy, M.D., M.P.H., from the Johns Hopkins University School of Medicine in Baltimore, and colleagues conducted a retrospective cohort study of clinical data for COVID-19 patients who self-identified as Asian, Black, Hispanic, or White from five referral centers and community hospitals. Concurrent measurements of oxygen saturation levels were conducted in arterial blood (SaO2<\/sub>) and by pulse oximetry (SpO2<\/sub>); the proportion of patients with occult hypoxemia was compared by race and ethnicity. A total of 1,216 patients had 32,282 concurrently measured SpO2<\/sub> and SaO2<\/sub>.<\/p>\n The researchers found that occult hypoxemia occurred in 30.2, 28.5, and 29.8 percent of Asian, Black, and non-Black Hispanic patients compared to 17.2 percent of White patients. SpO2<\/sub> overestimated SaO2<\/sub> by an average of 1.7, 1.2, and 1.1 percent among Asian, Black, and non-Black Hispanic patients, respectively, compared with White patients. Black and non-Black Hispanic patients had a lower risk of treatment eligibility recognition (hazard ratios, 0.71 and 0.77, respectively). Overall, 23.7 percent of patients never had their treatment eligibility recognized; 54.8 percent of these patients were Black. Of the patients who had eventual recognition of treatment eligibility, Black patients had a median delay of 1.0 hour compared with White patients.<\/p>\n “Differential inaccuracies in pulse oximetry should be examined as a potential explanation for disparities in COVID-19 outcomes and may have implications for the monitoring and treatment of other respiratory illnesses,” the authors write.<\/p>\n One author disclosed financial ties to the pharmaceutical industry.<\/p>\n Abstract\/Full Text<\/a><\/p>\n