Latent Class Analysis Reveals COVID-19-related Acute Respiratory Distress Syndrome Subgroups with Differential Responses to Corticosteroids.

Rationale: Two distinct subphenotypes have been identified in acute respiratory distress syndrome (ARDS), but the presence of subgroups in ARDS associated with coronavirus disease (COVID-19) is unknown. Objectives: To identify clinically relevant, novel subgroups in COVID-19-related ARDS and compare them with previously described ARDS subphenotypes. Methods: Eligible participants were adults with COVID-19 and ARDS at Columbia University Irving Medical Center. Latent class analysis was used to identify subgroups with baseline clinical, respiratory, and laboratory data serving as partitioning variables. A previously developed machine learning model was used to classify patients as the hypoinflammatory and hyperinflammatory subphenotypes. Baseline characteristics and clinical outcomes were compared between subgroups. Heterogeneity of treatment effect for corticosteroid use in subgroups was tested. Measurements and Main Results: From March 2, 2020, to April 30, 2020, 483 patients with COVID-19-related ARDS met study criteria. A two-class latent class analysis model best fit the population (P = 0.0075). Class 2 (23%) had higher proinflammatory markers, troponin, creatinine, and lactate, lower bicarbonate, and lower blood pressure than class 1 (77%). Ninety-day mortality was higher in class 2 versus class 1 (75% vs. 48%; P < 0.0001). Considerable overlap was observed between these subgroups and ARDS subphenotypes. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RT-PCR cycle threshold was associated with mortality in the hypoinflammatory but not the hyperinflammatory phenotype. Heterogeneity of treatment effect to corticosteroids was observed (P = 0.0295), with improved mortality in the hyperinflammatory phenotype and worse mortality in the hypoinflammatory phenotype, with the caveat that corticosteroid treatment was not randomized. Conclusions: We identified two COVID-19-related ARDS subgroups with differential outcomes, similar to previously described ARDS subphenotypes. SARS-CoV-2 PCR cycle threshold had differential value for predicting mortality in the subphenotypes. The subphenotypes had differential treatment responses to corticosteroids.

Care Delivery Impact of the COVID-19 Pandemic on Breast Cancer Care.

PURPOSE: COVID-19 has altered healthcare delivery. Previous work has focused on patients with cancer and COVID-19, but little has been reported on healthcare system changes among patients without COVID-19. METHODS: We performed a retrospective study of patients with breast cancer (BC) in New York City between February 1, 2020, and April 30, 2020. New patients were included as were patients scheduled to receive intravenous or injectable therapy. Patients with COVID-19 were excluded. Demographic and treatment information were obtained by chart review. Delays and/or changes in systemic therapy, surgery, radiation, and radiology related to the pandemic were tracked, along with the reasons for delay and/or change. Univariate and multivariable analysis were used to identify factors associated with delay and/or change. RESULTS: We identified 350 eligible patients, of whom 149 (42.6%) experienced a delay and/or change, and practice reduction (51.0%) was the most common reason. The patients who identified as Black or African American, Asian, or Other races were more likely to experience a delay and/or change compared with White patients (Black, 44.4%; Asian, 47.1%; Other, 55.6%; White, 31.4%; P = .001). In multivariable analysis, Medicaid compared with commercial insurance (odds ratio [OR], 3.04; 95% CI, 1.32 to 7.27) was associated with increased odds of a delay and/or change, whereas stage II or III BC compared with stage I (OR, 0.38; 95% CI, 0.15 to 0.95; and OR, 0.28; 95% CI, 0.08 to 0.092, respectively) was associated with decreased odds of a delay and/or change. CONCLUSION: Almost half of the patients with BC without COVID-19 had a delay and/or change. We found racial and socioeconomic disparities in the likelihood of a delay and/or change. Further studies are needed to determine the impact these care alterations have on BC outcomes.