Given advanced age, comorbidities, and immune dysfunction, CLL patients may be at particularly high risk of infection and poor outcomes related to coronavirus disease-19 (COVID-19). Robust analysis of outcomes for CLL patients, particularly examining effects of baseline characteristics and CLL-directed therapy, is critical to optimally manage CLL patients through this evolving pandemic. CLL patients diagnosed with symptomatic COVID-19 across 43 international centers (n=198) were included. Hospital admission occurred in 90%. Median age at COVID-19 diagnosis was 70.5 years. Median CIRS score was 8 (range 4-32). Thirty-nine percent were treatment-naïve ("watch and wait") while 61% had received ≥1 CLL-directed therapy (median 2, range 1-8). Ninety patients (45%) were receiving active CLL therapy at COVID-19 diagnosis, most commonly BTK inhibitors (BTKi; n=68/90, 76%). At a median follow-up of 16 days, the overall case fatality rate (CFR) was 33%, though 25% remain admitted. "Watch and wait" and treated cohorts had similar rates of admission (89% vs. 90%), ICU admission (35% vs. 36%), intubation (33% vs. 25%), and mortality (37% vs. 32%). CLL-directed treatment with BTKi at COVID-19 diagnosis did not impact survival (CFR 34% vs. 35%), though BTKi was held during COVID-19 course for most patients. These data suggest that the subgroup of CLL patients admitted with COVID-19, regardless of disease phase or treatment status, are at high risk of death. Future epidemiologic studies are needed to assess SARS-CoV-2 infection risk, these data should be validated independently, and randomized studies of BTKi in COVID-19 are needed to provide definitive evidence of benefit.

Purpose To evaluate the impact of DNMT3A mutations on outcome in younger patients with cytogenetic intermediate-risk acute myeloid leukemia. Patients and Methods Diagnostic samples from 914 patients (97% < 60 years old) were screened for mutations in DNMT3A exons 13 to 23. Clinical outcome was evaluated according to presence or absence of a mutation and stratified according to type of mutation (R882, non-R882 missense, or truncation). Results DNMT3A mutations (DNMT3AMUT) were identified in 272 patients (30%) and associated with a poorer prognosis than wild-type DNMT3A, but the difference was only seen when the results were stratified according to NPM1 genotype. This example of Simpson's paradox results from the high coincidence of DNMT3A and NPM1 mutations (80% of patients with DNMT3AMUT had NPM1 mutations), where the two mutations have opposing prognostic impact. In the stratified analyses, relapse in patients with DNMT3AMUT was higher (hazard ratio, 1.35; 95% CI, 1.07 to 1.72; P = .01), and overall survival was lower (hazard ratio, 1.37; 95% CI, 1.12 to 1.87; P = .002). The impact of DNMT3AMUT did not differ according to NPM1 genotype (test for heterogeneity: relapse, P = .4; overall survival, P = .9). Further analysis according to the type of DNMT3A mutation indicated that outcome was comparable in patients with R882 and non-R882 missense mutants, whereas in those with truncation mutants, it was comparable to wild-type DNMT3A. Conclusion These data confirm that presence of a DNMT3A mutation should be considered as a poor-risk prognostic factor, irrespective of the NPM1 genotype, and suggest that further consideration should be given to the type of DNMT3A mutation.

No abstract