IMPORTANCE Significant concern has been raised that crisis standards of care policies aimed at guiding resource allocation may be biased against people based on race/ethnicity. OBJECTIVE To evaluate whether unanticipated disparities by race or ethnicity arise from a single institution's resource allocation policy. DESIGN, SETTING, AND PARTICIPANTS This cohort study included adults (aged Ն18 years) who were cared for on a coronavirus disease 2019 (COVID-19) ward or in a monitored unit requiring invasive or noninvasive ventilation or high-flow nasal cannula between May 26 and July 14, 2020, at 2 academic hospitals in Miami, Florida. EXPOSURES Race (ie, White, Black, Asian, multiracial) and ethnicity (ie, non-Hispanic, Hispanic). MAIN OUTCOMES AND MEASURES The primary outcome was based on a resource allocation priority score (range, 1-8, with 1 indicating highest and 8 indicating lowest priority) that was assigned daily based on both estimated short-term (using Sequential Organ Failure Assessment score) and longer-term (using comorbidities) mortality. There were 2 coprimary outcomes: maximum and minimum score for each patient over all eligible patient-days. Standard summary statistics were used to describe the cohort, and multivariable Poisson regression was used to identify associations of race and ethnicity with each outcome. RESULTS The cohort consisted of 5613 patient-days of data from 1127 patients (median [interquartile range {IQR}] age, 62.7 [51.7-73.7]; 607 [53.9%] men). Of these, 711 (63.1%) were White patients, 323 (28.7%) were Black patients, 8 (0.7%) were Asian patients, and 31 (2.8%) were multiracial patients; 480 (42.6%) were non-Hispanic patients, and 611 (54.2%) were Hispanic patients. The median (IQR) maximum priority score for the cohort was 3 (1-4); the median (IQR) minimum score was 2 (1-3). After adjustment, there was no association of race with maximum priority score using White patients as the reference group (Black patients: incidence rate ratio [IRR], 1.00; 95% CI, 0.89-1.12; Asian patients: IRR, 0.95; 95% CI. 0.62-1.45; multiracial patients: IRR, 0.93; 95% CI, 0.72-1.19) or of ethnicity using non-Hispanic patients as the reference group (Hispanic patients: IRR, 0.98; 95% CI, 0.88-1.10); similarly, no association was found with minimum score for race, again with White patients as the reference group (Black patients: IRR, 1.01; 95% CI, 0.90-1.14; Asian patients: IRR, 0.96; 95% CI, 0.62-1.49; multiracial patients: IRR, 0.81; 95% CI, 0.61-1.07) or ethnicity, again with non-Hispanic patients as the reference group (Hispanic patients: IRR, 1.00; 95% CI, 0.89-1.13). CONCLUSIONS AND RELEVANCE In this cohort study of adult patients admitted to a COVID-19 unit at 2 US hospitals, there was no association of race or ethnicity with the priority score underpinning (continued) Key Points Question Is there an association of race and/or ethnicity with priority scores based on both short-term and longerterm estimated mortality used for resource allocation under crisis standards of care? Findings In this retr...

Given the effectiveness of AC for resection of eloquent tumors, the data suggests an expanded role for AC in brain tumor surgery regardless of tumor location.

BackgroundCerebral microbleeds (CMBs) represent intracerebral hemorrhages due to amyloid angiopathy or exposure to modifiable risk factors. Few community‐based stroke‐free studies including blacks and Hispanics have been done.Methods and ResultsThe Northern Manhattan Study (NOMAS) is a stroke‐free, racially and ethnically diverse cohort study. Brain MRI was performed in 1290 participants, 925 of whom had available T2* gradient‐recall echo data. We used multivariable logistic regression to examine the association of sociodemographics, vascular risk factors, apolipoprotein E (APOE) genotype, and brain MRI markers with CMB presence and location. The prevalence of CMBs in our cohort was 5%. Of the 46 participants with CMBs, 37% had only deep CMBs, 48% had only lobar CMBs, and 15% had CMBs in both locations. The difference in CMB distribution was not statistically significant across race/ethnic group or APOE genotype. In multivariable analyses, age (OR [95% CI]: 1.09 [1.04, 1.15]) and SBIs (2.58 [1.01, 6.59]) were positively associated with CMB presence, and diabetes medication use was negatively associated (0.25 [0.07, 0.86]).Conclusions CMBs may represent the severity of vascular disease in this racially and ethnically diverse cohort. Larger studies are needed to elucidate the association between diabetes medication use and CMB presence.

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