Compliance with optimal medical therapy for secondary risk factor management amongst our vascular surgery patients is low. Uninsured patients are less likely to receive optimal medical therapy than their insured counterparts. This survey provides sobering statistics regarding medical compliance in our population. This issue deserves further study and may indirectly affect outcomes in minority groups that are disproportionately represented in our uninsured patients.

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Objective To determine whether early postpartum discharge during the coronavirus disease 2019 (COVID-19) pandemic was associated with a change in the odds of maternal postpartum readmissions. Study Design This is a retrospective analysis of uncomplicated postpartum low-risk women in seven obstetrical units within a large New York health system. We compared the rate of postpartum readmissions within 6 weeks of delivery between two groups: low-risk women who had early postpartum discharge as part of our protocol during the COVID-19 pandemic (April 1–June 15, 2020) and similar low-risk patients with routine postpartum discharge from the same study centers 1 year prior. Statistical analysis included the use of Wilcoxon's rank-sum and chi-squared tests, Nelson–Aalen cumulative hazard curves, and multivariate logistic regression. Results Of the 8,206 patients included, 4,038 (49.2%) were patients who had early postpartum discharge during the COVID-19 pandemic and 4,168 (50.8%) were patients with routine postpartum discharge prior to the COVID-19 pandemic. The rates of postpartum readmissions after vaginal delivery (1.0 vs. 0.9%; adjusted odds ratio [OR]: 0.75, 95% confidence interval [CI]: 0.39–1.45) and cesarean delivery (1.5 vs. 1.9%; adjusted OR: 0.65, 95% CI: 0.29–1.45) were similar between the two groups. Demographic risk factors for postpartum readmission included Medicaid insurance and obesity. Conclusion Early postpartum discharge during the COVID-19 pandemic was associated with no change in the odds of maternal postpartum readmissions after low-risk vaginal or cesarean deliveries. Early postpartum discharge for low-risk patients to shorten hospital length of stay should be considered in the face of public health crises. Key Points

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Objectives The objective of this study was to compare the maximum 5-min Apgar score of 10 among different U.S. races and Hispanic ethnicity. Methods Retrospective population-based cohort study from the National Center for Health Statistics (NCHS), and Division of Vital Statistics natality online database. We included only deliveries where the race and Hispanic ethnicity of the father and mother were listed as either Black, White, Chinese, or Asian Indian and as Hispanic or Latino origin or other. Proportions of 5-Minute Apgar scores of 10 were compared among different races and Hispanic ethnicity for six groups each for mother and father: Non-Hispanic or Latino White, Hispanic or Latino White, Non-Hispanic or Latino Black, Hispanic or Latino Black, Chinese, and Asian Indian. Results The study population consists of 9,710,066 mothers and 8,138,475 fathers from the US natality birth data 2016–2019. Black newborns had a less than 50% chance of having a 5-min Apgar score of 10 when compared to white newborns (OR 0.47 for Black mother and Black father; p<0.001). White babies (non-Hispanic and Hispanic) had the highest proportion of Apgar scores of 10 across all races and ethnicities. Conclusions The Apgar score introduces a bias by systematically lowering the score in people of color. Embedding skin color scoring into basic data and decisions of health care propagates race-based medicine. By removing the skin color portion of the Apgar score and with it’s racial and ethnic bias, we will provide more accuracy and equity when evaluating newborn babies worldwide.