Background Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients. We therefore studied baseline characteristics of HM patients developing COVID-19 and analyzed predictors of mortality. Methods The survey was supported by the Scientific Working Group Infection in Hematology of the European Hematology Association (EHA). Eligible for the analysis were adult patients with HM and laboratory-confirmed COVID-19 observed between March and December 2020. Results The study sample includes 3801 cases, represented by lymphoproliferative (mainly non-Hodgkin lymphoma n = 1084, myeloma n = 684 and chronic lymphoid leukemia n = 474) and myeloproliferative malignancies (mainly acute myeloid leukemia n = 497 and myelodysplastic syndromes n = 279). Severe/critical COVID-19 was observed in 63.8% of patients (n = 2425). Overall, 2778 (73.1%) of the patients were hospitalized, 689 (18.1%) of whom were admitted to intensive care units (ICUs). Overall, 1185 patients (31.2%) died. The primary cause of death was COVID-19 in 688 patients (58.1%), HM in 173 patients (14.6%), and a combination of both COVID-19 and progressing HM in 155 patients (13.1%). Highest mortality was observed in acute myeloid leukemia (199/497, 40%) and myelodysplastic syndromes (118/279, 42.3%). The mortality rate significantly decreased between the first COVID-19 wave (March–May 2020) and the second wave (October–December 2020) (581/1427, 40.7% vs. 439/1773, 24.8%, p value < 0.0001). In the multivariable analysis, age, active malignancy, chronic cardiac disease, liver disease, renal impairment, smoking history, and ICU stay correlated with mortality. Acute myeloid leukemia was a higher mortality risk than lymphoproliferative diseases. Conclusions This survey confirms that COVID-19 patients with HM are at high risk of lethal complications. However, improved COVID-19 prevention has reduced mortality despite an increase in the number of reported cases.

Chimeric antigen receptor (CAR) T-cell therapy has emerged as an option for relapsed/refractory aggressive B-cell lymphomas that have failed 2 lines of therapy. Failures usually occur early after infusion. The purpose of our study was to identify factors that may predict failure, particularly early progression (EP), within the first month after infusion. Characteristics of 116 patients were analyzed at the time of decision (TD) to use commercial CAR (axicabtagene ciloleucel, n = 49; tisagenlecleucel n = 67) and at the time of treatment (TT), together with total metabolic tumor volume (TMTV) at TT. With a median follow-up of 8.2 months, 55 patients failed treatment; 27 (49%) were early progressors. The estimated 12-month progression-free survival (PFS) and overall survival (OS) were 47.2% (95% confidence interval [CI], 38.0-58.6) and 67.0% (95% CI, 57-79), respectively. Univariate analyses for PFS and OS identified Eastern Cooperative Oncology Group Performance Status (ECOG PS) ≥2, stage III/IV disease, extranodal (EN) sites ≥2, elevated lactate dehydrogenase (LDH), increased C-reactive protein (CRP), high International Prognostic Index at TD and at TT, as well as increased CRP, bulky mass, and high TMTV at TT, as risk factors. Multivariate analyses for PFS, EP, and OS identified elevated LDH and EN sites ≥2 at TD and the same predictors at TT (ie, increased CRP, EN sites ≥2, and TMTV &gt;80 mL). In summary, risk factors identified for early progression at TD and at TT were EN involvement (≥2 sites) and lymphoma burden (LDH, TMTV).

TMTV0 is more relevant than tumour bulk for predicting the outcome in patients with HL, and adds a significant prognostic insight to interim PET response assessment. The combination of TMTV0 and ΔSUVmaxPET0-2 made it possible to identify three subsets of HL patients with different outcomes. This may guide clinicians in their choice of therapeutic strategy.

Congenital Erythrocytosis (CE), also called congenital polycythemia, represents a rare and heterogeneous clinical entity. It is caused by deregulated red blood cell production where erythrocyte overproduction results in elevated hemoglobin and hematocrit levels. 3Primary congenital familial erythrocytosis is associated with low erythropoietin (Epo) levels and generally results from mutations in the erythropoietin-receptor gene (EPOR).Secondary congenital erythrocytosis arises from conditions which cause tissue hypoxia thus resulting in increased Epo production. These include hemoglobin variants with increased affinity for oxygen (genes HBB, HBA1 and HBA2), decreased production of 2,3-biphosphoglycerate due to mutations in the BPGM gene, or mutations in the genes involved in the hypoxia sensing pathway (VHL, EPAS1 and EGLN1). Depending on the affected gene CE can be inherited either in an autosomal dominant or recessive mode, with sporadic cases arising de novo.Despite recent important discoveries in the molecular pathogenesis of CE, the molecular causes remain to be identified in about 70% of the patients.With the objective of collecting all the published and unpublished cases of CE the COST action MPN&MPNr-Euronet developed a comprehensive internet-based database focusing on the registration of clinical history, hematological, biochemical and molecular data (http://www.erythrocytosis.org/). In addition, unreported mutations are also curated in the corresponding Leiden Open Variation Database (LOVD).