BACKGROUND: This is the largest and only multivariate study evaluating the difference in mortality from coronavirus disease 2019 (COVID-19) between patients with cancer and patients without cancer in the United States. The objective was to assess COVID-19 mortality rates in patients with cancer versus patients without cancer and uncover possible statistically significant characteristics contributing to mortality. METHODS: This retrospective study analyzed patients with cancer and patients without cancer who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from March 1 through April 30, 2020. This was a multicenter study in the state of Louisiana throughout the Ochsner Health System in both tertiary and nontertiary centers. Patients older than 18 years were eligible. Three hundred twelve patients with cancer were compared with 4833 patients without cancer. RESULTS: Mortality was found to be higher in the cancer group. Patients of advanced age with cancer had a significant increase in mortality (odds ratio [OR], 5.96; P < .001). Other significant risk factors for increased mortality were male sex (OR, 2.15), a history of chronic kidney disease (OR, 3.84), and obesity (OR, 1.30). In hospitalized patients with cancer, adverse vital signs on admission, decreased absolute lymphocyte counts, thrombocytopenia, elevated creatinine, lactic acidosis, and elevated procalcitonin all seemed to increase the risk of death. Among patients with cancer, active or progressive disease (P < .001) and recent therapy (OR, 2.34; 95% confidence interval, 1.08-5.08) were shown to increase mortality. CONCLUSIONS: Patients with cancer have increased mortality in the setting of infection with SARS-CoV-2 in comparison with patients without cancer. Patients with cancer who are 65 years of age or older and those with certain comorbidities have the greatest risk of death. Recent cancer-directed therapy and disease status also seem to play roles in mortality.

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BackgroundCorticosteroids (CS) are the mainstay of immune-related adverse effect (irAE) management, as well as for other indications in cancer treatment. Previous studies evaluating whether CS affect immune checkpoint inhibitor (CPI) efficacy compared patients receiving CS versus no CS. However, there is a paucity of clinical data evaluating the timing of concomitant CS and CPI efficacy.MethodsWe retrospectively collected data from patients who received CS during CPI treatment at a single institution. Patients were in two cohorts based on timing of initiation of CS (≥2 months vs <2 months after initiating CPI). Patient characteristics, irAEs, cancer type, treatment type, treatment response/progression per RECIST V.1.1, and survival data were collected. Kaplan-Meier and Cox proportional hazard regression methods estimated HRs for the primary endpoint of progression-free survival (PFS) along with overall survival (OS).ResultsWe identified 247 patients with metastatic cancer who received CS concurrently with CPIs. The median time on CS was 1.8 months. After adjusting for treatment type, tumor type, brain metastases, and irAEs, those treated with CS ≥2 months after starting CPI had a statistically significant longer PFS (HR=0.30, p<0.001), and OS (HR 0.34, p<0.0001) than those who received CS <2 months after starting CPI. Objective response rate (ORR) for patients on CS ≥2 months was 39.8%, versus ORR for patients <2 months was 14.7% (p value =<0.001)ConclusionOur results suggest that early use of CS during CPI treatment significantly hinders CPI efficacy. This data needs to be validated prospectively. Future studies should focus on the immune mechanisms by which CSs affect T-cell function early in the CPI treatment course.

Novel coronavirus disease 2019 (COVID-19) has spread throughout the world and has infected close to 4 million people. It commonly presents with fever, cough, and fatigue. Due to the high inflammatory response, it is suggested that the coagulation cascade is enhanced causing thrombotic events for many patients. We describe a patient with clinical features of cerebrovascular accident, as well as documented blood clots in bilateral upper extremities. Labs revealed the presence of cold agglutinin hemolytic anemia. The association between cold agglutinin autoimmune hemolytic anemia and thrombotic events in COVID-19 patients has not been well investigated. The patient unfortunately passed away within 48 hours after admission. This case stresses the importance of considering a full workup to diagnose autoimmune hemolytic anemia (AIHA) in COVID-19 patients with thromboses and possible implications for management.

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