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Importance: Crisis standards of care (CSOC) scores designed to allocate scarce resources during the COVID-19 pandemic could exacerbate racial disparities in health care., Objective: To analyze the association of a CSOC scoring system with resource prioritization and estimated excess mortality by race, ethnicity, and residence in a socially vulnerable area., Design, Setting, and Participants: This retrospective cohort analysis included adult patients in the intensive care unit during a regional COVID-19 surge from April 13 to May 22, 2020, at 6 hospitals in a health care network in greater Boston, Massachusetts. Participants were scored by acute severity of illness using the Sequential Organ Failure Assessment score and chronic severity of illness using comorbidity and life expectancy scores, and only participants with complete scores were included. The score was ordinal, with cutoff points suggested by the Massachusetts guidelines., Exposures: Race, ethnicity, Social Vulnerability Index., Main Outcomes and Measures: The primary outcome was proportion of patients in the lowest priority score category stratified by self-reported race. Secondary outcomes were discrimination and calibration of the score overall and by race, ethnicity, and neighborhood Social Vulnerability Index. Projected excess deaths were modeled by race, using the priority scoring system and a random lottery., Results: Of 608 patients in the intensive care unit during the study period, 498 had complete data and were included in the analysis; this population had a median (IQR) age of 67 (56-75) years, 191 (38.4%) female participants, 79 (15.9%) Black participants, and 225 patients (45.7%) with COVID-19. The area under the receiver operating characteristic curve for the priority score was 0.79 and was similar across racial groups. Black patients were more likely than others to be in the lowest priority group (12 [15.2%] vs 34 [8.1%]; P = .046). In an exploratory simulation model using the score for ventilator allocation, with only those in the highest priority group receiving ventilators, there were 43.9% excess deaths among Black patients (18 of 41 patients) and 28.6% (58 of 203 patients among all others (P = .05); when the highest and intermediate priority groups received ventilators, there were 4.9% (2 of 41 patients) excess deaths among Black patients and 3.0% (6 of 203) among all others (P = .53). A random lottery resulted in more excess deaths than the score., Conclusions and Relevance: In this study, a CSOC priority score resulted in lower prioritization of Black patients to receive scarce resources. A model using a random lottery resulted in more estimated excess deaths overall without improving equity by race. CSOC policies must be evaluated for their potential association with racial disparities in health care.

Community-based organizations are uniquely positioned to address critical gaps in social support that contribute to inequities in maternal health. Using a human-centered design process, we held 3 design workshops with members of 15 organizations in Greater Boston, including community-based organizations, allied hospital systems, and public health departments, to assess proposed solutions for gaps in social support services during pregnancy and the first year after childbirth. The workshops focused on solutions to problems that emerged from a mixed-methods research study with community-based organizations that provide social support services; workshop attendees explored facilitators and barriers to implementing solutions. Key considerations included colocation of solutions, shared ownership of program and client data, decision making about triage and referrals, and strengthening coordination of existing programs. Collaborative design workshops surfaced potential solutions to improve coordination of services, which require addressing structural and interpersonal racism in Greater Boston., Competing Interests: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc.)

Objective: Acute peripheral arterial events, such as aortic dissection, carotid artery dissection, vertebral artery dissection, and ruptured renoviseral aneurysms, have been reported during pregnancy in case series, but there is a paucity of population-based data. This study sought to establish pregnancy and preeclampsia as risk factors for acute peripheral arterial events. Approach and Results: All women who gave birth between 1998 and 2020 within a multicenter health care system were identified. Births that occurred in women <18 or >50 years of age were excluded. Primary outcome was any acute peripheral arterial event that was symptomatic or required intervention. Cox regression model was used to evaluate the association between vascular events and pregnancy as a time-varying covariate. The pregnancy exposure period was from the estimated date of conception to 3 months postpartum. There were 277 697 pregnancies (81.3% deliveries, 17.0% abortions, and 1.7% ectopics) among 176 635 women with 1.68 million patient-years of total follow-up (median, 7.9 years; interquartile range, 2.4-16.2). Preeclampsia complicated 5.3% of pregnancies; 67 790 of 225 763 (30.0%) deliveries were delivered by cesarean. Ninety-six acute arterial events occurred during follow-up, of which 24 occurred during pregnancy, including the postpartum period. Pregnancy (hazard ratio, 1.85 [95% CI, 1.01-3.38]; P =0.046) and preeclampsia (hazard ratio, 10.9 [95% CI, 5.24-22.7]; P <0.001) were significant independent predictors of acute arterial events., Conclusions: While taking into account limitations from estimating conception and outcome dates, pregnancy, especially when complicated by preeclampsia, is associated with an increased risk of acute peripheral arterial events.