Racial Disparities in Pulse Oximeter Device Inaccuracy and Estimated Clinical Impact on COVID-19 Treatment Course.

Arterial blood oxygen saturation measured by pulse oximetry (SpO2) may be differentially less accurate for people with darker skin pigmentation, which could potentially affect COVID-19 treatment course. We analyzed pulse oximeter accuracy and association with COVID-19 treatment outcomes using electronic health record (EHR) data from Sutter Health, a large, mixed-payer, integrated healthcare delivery system in northern California, United States (US). We analyzed two cohorts: (1) 43,753 concurrent arterial blood gas (ABG) oxygen saturation (SaO2)/SpO2 measurement pairs taken January 2020-February 2021 for Non-Hispanic white (NHW) or Non-Hispanic Black/African American (NHB) adults, and (2) 8,735 adults who went to the emergency department (ED) with COVID-19 July 2020-February 2021. Pulse oximetry systematically overestimated blood oxygenation by 1% more in NHB individuals than in NHW individuals. For people with COVID-19, this was associated with lower admission probability (-3.1 percentage-points), dexamethasone treatment (-3.1 percentage-points), and supplemental oxygen treatment (-4.5 percentage-points), as well as increased time-to-treatment: +37.2 minutes before dexamethasone initiation and +278.5 minutes before initiation of supplemental oxygen. These results call for additional investigation of pulse oximeters, and suggest that current guidelines for development, testing, and calibration of these devices should be revisited, investigated, and revised.

Loneliness and symptom burden in oncology patients during the COVID-19 pandemic.

BACKGROUND: Loneliness and social isolation are significant public health problems that are being exacerbated during the coronavirus disease 2019 pandemic. Little is known about the associations between loneliness and symptom burden in oncology patients before and during the pandemic. Study purposes include determining the prevalence of loneliness in a sample of oncology patients; evaluating for differences in demographic, clinical, and symptom characteristics between lonely and nonlonely patients; and determining which demographic, clinical, and symptom characteristics were associated with membership in the lonely group. METHODS: A convenience sample (n = 606) completed online surveys that evaluated the severity of loneliness, social isolation, and common symptoms (ie, anxiety, depression, fatigue, sleep disturbance, cognitive dysfunction, and pain) in oncology patients. Parametric and nonparametric tests were used to evaluate for differences in scores between the lonely and nonlonely groups. Logistic regression analysis was used to determine risk factors for membership in the loneliness group. RESULTS: Of the 606 patients, 53.0% were categorized in the lonely group. The lonely group reported higher levels of social isolation, as well as higher symptom severity scores for all of the symptoms evaluated. In the multivariate model, being unmarried, having higher levels of social isolation, as well as higher levels of anxiety and depressive symptoms were associated with membership in the lonely group. CONCLUSIONS: Study findings suggest that a significant number of oncology patients are experiencing loneliness, most likely as a result of mandate social distancing and isolation procedures. The symptom burden of these patients is extremely high and warrants clinical evaluation and interventions.

Stress and Symptom Burden in Oncology Patients During the COVID-19 Pandemic.

CONTEXT: No information is available on oncology patients' level of stress and symptom burden during the coronavirus disease 2019 (COVID-19) pandemic. OBJECTIVES: To evaluate for differences in demographic and clinical characteristics, levels of social isolation and loneliness, and the occurrence and severity of common symptoms between oncology patients with low vs. high levels of COVID-19 and cancer-related stress. In addition, to determine which of these characteristics were associated with membership in the high-stressed group. METHODS: Patients were 18 years and older; had a diagnosis of cancer; and were able to complete an online survey. RESULTS: Of the 187 patients in this study, 31.6% were categorized in the stressed group (Impact of Event Scale-Revised [score of ≥24]). Stressed group's Impact of Event Scale-Revised score exceeds previous benchmarks in oncology patients and equates with probable post-traumatic stress disorder. In this stressed group, patients reported occurrence rates for depression (71.2%), anxiety (78.0%), sleep disturbance (78.0%), evening fatigue (55.9%), cognitive impairment (91.5%), and pain (75.9%). Symptom severity scores equate with clinically meaningful levels for each symptom. CONCLUSION: We identified alarmingly high rates of stress and an extraordinarily high symptom burden among patients with cancer, exceeding those previously benchmarked in this population and on par with noncancer patients with post-traumatic stress disorder. Given that the COVID-19 pandemic will likely impact cancer care for an indefinite period, clinicians must exhibit increased vigilance in their assessments of patients' level of stress and symptom burden. Moreover, an increase in referrals to appropriate supportive care resources must be prioritized for high-risk patients.