ABSTRACT
BACKGROUND: The COVID-19 pandemic has created enormous challenges for the clinical management of patients with hematological malignancies (HMs), raising questions about the optimal care of this patient group. METHODS: This consensus manuscript aims at discussing clinical evidence and providing expert advice on statements related to the management of HMs in the COVID-19 pandemic. For this purpose, an international consortium was established including a steering committee, which prepared six working packages addressing significant clinical questions from the COVID-19 diagnosis, treatment, and mitigation strategies to specific HMs management in the pandemic. During a virtual consensus meeting, including global experts and lead by the European Society for Medical Oncology and the European Hematology Association, statements were discussed and voted upon. When a consensus could not be reached, the panel revised statements to develop consensual clinical guidance. RESULTS AND CONCLUSION: The expert panel agreed on 33 statements, reflecting a consensus, which will guide clinical decision making for patients with hematological neoplasms during the COVID-19 pandemic.
Subject(s)
COVID-19 , Hematologic Neoplasms , COVID-19 Testing , Consensus , Hematologic Neoplasms/epidemiology , Hematologic Neoplasms/therapy , Humans , PandemicsABSTRACT
Background The ongoing Coronavirus disease 2019 (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is having an enormous impact on society worldwide and is especially posing a threat to health in vulnerable patients, such as patients with immune deficiencies. It is expected that patients who received Chimeric Antigen Receptor T-cell (CAR T-cell) therapy for hematologic malignancies are at risk for poor outcomes after COVID-19 due to their severely immunocompromised state caused by prior cumulative immunochemotherapy, on-target/off-tumor B-cell depletion, hypogammaglobulinemia and ongoing cytopenias. Current data are limited to small case series and case reports. This study describes the clinical characteristics and outcomes of CAR T-cell therapy recipients after developing COVID-19 in the largest cohort to date. Methods In response to the COVID-19 pandemic, the European Society for Blood and Marrow Transplantation (EBMT) developed a special COVID-19 report form to capture data from all patients with COVID-19 after treatment with CAR T-cell therapy for hematologic malignancies. Only PCR positive SARS-CoV-2 diagnosed patients before June 1 st, 2021 were included. The aim of this study was to describe the clinical course after COVID-19 diagnosis and evaluate overall survival. Overall survival probabilities were calculated using the Kaplan Meier method. Factors associated with mortality after COVID-19 diagnosis were examined using a Cox proportional hazard model. Results A total of 57 patients from 11 countries were reported to the EBMT. One patient with incomplete data at diagnosis and without any follow up information had to be excluded from the analysis. The median age of these 56 patients was 57.7 years (min-max 5.2 - 72.8) including 55 adults and one child. Of these patients, 32 were male. CAR T-cell therapy was given to 46 patients with B-cell-non-Hodgkin lymphoma, 7 patients with B-cell acute lymphoblastic leukemia, and 3 patients with multiple myeloma. The median time from CAR T-cell infusion to COVID-19 diagnosis was 7.4 months (min-max 0.03 - 25.3). At the time of COVID-19 diagnosis, 62.5% of patients were in complete remission, 12.5% of patients had a partial response and 25% of patients had relapsed/refractory disease. Forty-five patients (80%) were admitted to hospital (median 26,5 days, min-max 3-171) due to COVID-19. Of the admitted patients, 24 (53%) needed oxygen support. Twenty-two (49%) patients were admitted to the intensive care unit (median 14 days, min - max 2-65) and 16 (73%) of these patients received invasive ventilation. At the time of analysis, 25 of the 56 patients had died (44.6%), most (23/25) due to COVID-19, resulting in a COVID-19 attributable mortality rate of 41%. The Kaplan-Meier estimate of overall survival is shown in Figure 1. The median follow-up from COVID-19 diagnosis was 20.9 weeks. In 1 of the 32 alive patients there was no resolution of COVID-19 at the time of analysis. In multivariate analysis, older age (hazard ratio (HR) 1.50, 95% CI 1.11-2.03, p=0.009) and comorbidities (HR 2.56, 95% CI 1.05-6.23, p=0.001) had a negative impact on overall survival. Better performance status at time of admission (HR 0.72, 95% CI 0.59-0.88, p=0.038) had a positive impact on overall survival. Sex, time from CAR T-cell therapy to COVID-19 diagnosis, disease remission status and the occurrence of neurotoxicity or cytokine release syndrome after CAR T-cell infusion did not have a significant effect on overall survival in the multivariate analysis. Conclusion Patients with COVID-19 after B-cell-targeted CAR T-cell therapy have a very poor outcome. As it remains uncertain whether currently applied vaccination strategies against SARS-CoV-2 are effective after CAR T-cell therapy, vaccination of health-care personnel and family members in combination with protective measures against viral exposure are likely to play the most important role in protecting this vulnerable group of patients. Better treatment strategies are urgently needed. [Formula present d] Disclosures: Ljungman: OctaPharma: Other: DSMB;Enanta: Other: DSMB;Janssen: Other: Investigator;Takeda: Consultancy, Other: Endpoint committee, speaker;AiCuris: Consultancy;Merck: Other: Investigator, speaker. De La Camara: IQONE: Consultancy;Roche: Consultancy. Ortiz-Maldonado: Kite, Novartis, BMS, Janssen: Honoraria. Barba: Novartis: Honoraria;Gilead: Honoraria;BMS: Honoraria;Amgen: Honoraria;Pfizer: Honoraria. Kwon: Novartis, Celgene, Gilead, Pfizer: Consultancy, Honoraria. Sesques: Novartis: Honoraria;Chugai: Honoraria;Kite, a Gilead Company: Honoraria. Bachy: Kite, a Gilead Company: Honoraria;Novartis: Honoraria;Daiishi: Research Funding;Roche: Consultancy;Takeda: Consultancy;Incyte: Consultancy. Di Blasi: Kite, a Gilead Company: Consultancy, Honoraria;Novartis: Consultancy, Honoraria;Janssen: Consultancy, Honoraria. Thieblemont: Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees;Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees;Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Bristol Myers Squibb/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses, Research Funding;Gilead Sciences: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Kyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees;Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Cellectis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses;Hospira: Research Funding;Bayer: Honoraria;Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Accommodations, Expenses. Mutsaers: BMS: Consultancy;AstraZeneca: Research Funding. Nicholson: Kite, a Gilead Company: Other: Conference fees, Speakers Bureau;Novartis: Consultancy, Other: Conference fees;BMS/Celgene: Consultancy;Pfizer: Consultancy. Martínez-López: Janssen, BMS, Novartis, Incyte, Roche, GSK, Pfizer: Consultancy;Roche, Novartis, Incyte, Astellas, BMS: Research Funding. Ribera: NOVARTIS: Consultancy, Speakers Bureau;TAKEDA: Consultancy, Research Funding, Speakers Bureau;ARIAD: Consultancy, Research Funding, Speakers Bureau;SHIRE: Consultancy, Speakers Bureau;AMGEN: Consultancy, Research Funding, Speakers Bureau;Pfizer: Consultancy, Research Funding, Speakers Bureau. Sanderson: Kite, a Gilead Company: Honoraria;Novartis: Honoraria. Bloor: Kite, a Gilead Company: Honoraria;Novartis: Honoraria. Ciceri: IRCCS Ospedale San Raffaele: Current Employment. Ayuk: Novartis: Honoraria;Janssen: Honoraria;Takeda: Honoraria;Mallinckrodt/Therakos: Honoraria, Research Funding;Gilead: Honoraria;Miltenyi Biomedicine: Honoraria;Celgene/BMS: Honoraria. Kröger: Novartis: Research Funding;Riemser: Honoraria, Research Funding;Sanofi: Honoraria;Neovii: Honoraria, Research Funding;Jazz: Honoraria, Research Funding;Gilead/Kite: Honoraria;Celgene: Honoraria, Research Funding;AOP Pharma: Honoraria. Kersten: Celgene: Research Funding;Miltenyi Biotec: Consultancy, Honoraria, Other: Travel support;Roche: Consultancy, Honoraria, Other: Travel support, Research Funding;BMS/Celgene: Consultancy, Honoraria;Takeda: Research Funding;Novartis: Consultancy, Honoraria, Other: Travel support;Kite, a Gilead Company: Consultancy, Honoraria, Other: Travel support, Research Funding. Mielke: DNA Prime SA: Speakers Bureau;Im unicum: Other: Data safety monitoring board;Novartis: Speakers Bureau;Miltenyi: Other: Data safety monitoring board;Gilead/KITE: Other: Travel support, Expert panel;Celgene/BMS: Speakers Bureau.
ABSTRACT
Background: SARS-CoV-2 infection has bimodal distribution in Europe with a 1st wave in March-June 2020 and a 2nd in September 2020-February 2021. In cancer patients (pts) the lethality of COVID- 19 infection was 25%>35% in the 1st wave. Comparison on impact of COVID-19 infection in the 1st vs. 2nd waves have not been performed in ALL. Aims: We compared the frequency, clinical characteristics and outcome of adults with ALL and COVID-19 infection in the 1st vs. 2nd waves in Spain. Methods: Between March 1, 2020-May 31, 2020, and between September 12, 2020- January 12, 2021 (date of vaccination onset in Spain), a registry from the PETHEMA (Programa Espa.ol de Tratamientos en Hematologia) and GETH (Grupo Espa.ol de Trasplante Hematopoyético y Terapia Celular) groups prospectively recruited adult ALL pts with COVID-19 infection confirmed by PCR. Demographic and clinical characteristics of ALL and COVID-19 infection, comorbidities, treatment and outcome were collected and compared in the two periods. In addition, prognostic factors for survival were analyzed. Results: Fifty-six patients were collected in 82 centers contacted, 4 of them being excluded (COVID infection >3 yr. after end of ALL therapy [n=3] and Burkitt lymphoma [n=1]). Twenty-eight pts were collected in the 1st wave and 24 in the 2nd. Median age was 46 (range 20-83), (34 pts [65%] >40 yr). Comorbidities were present in 18 pts (35%). ALL was of B-cell precursors in 38 pts (74%) (Ph+ in 8, 15%). Thirtyone pts (60%) were under frontline treatment, 16 (31%) in rescue, 1 (2%) palliative and 4 (7%) had recently finished the therapy. Eight pts had received allogeneic HSCT (5 of them at COVID-19 infection diagnosis), CAR T (n=1, 2 yr prior to COVID-19 infection) or received immunotherapy (inotuzumab, n=6, 2 at COVID-19 infection, and blinatumomab, n=1, prior to COVID-19 infection). Eleven pts were receiving immunosuppressive drugs at COVID infection (fludarabine in 6, among others). No significant differences were observed in ALL characteristics in the two COVID-19 waves, except for a significantly higher number of patients on first line therapy in the second wave, and a higher frequency of severe neutropenia and lymphocytopenia in the first wave. COVID19 therapy was different in the two periods, with significantly higher use of hydroxychloroquine, remdesivir and lopinavir-ritonavir in the first wave and corticosteroids in the second wave. No significant differences were observed in need of oxygen support (12 vs. 8 pts), ICU requirement (7 vs. 4 pts), days in ICU (medians 16 vs. 21) and time to COVID infection recovery (medians 17 vs. 13 days). Seventeen patients (33%) died (11 vs. 6), being death attributed to COVID infection in 15 (29%), without significant differences in the 100-day survival probabilities (Figure 1). By multivariable analysis only comorbidities at COVID-19 infection had a negative impact on survival (HR: 5.358 [95% CI: 1.875;15.313]). Summary/Conclusion: COVID-19 infection was frequent in ALL pts, especially in those with advanced age and under ALL frontline or rescue therapy. The frequency of severe COVID-19 infection and mortality were high, with negative impact of comorbidities on survival. No significant differences were observed in ALL characteristics, response to therapy and outcome in the two waves of COVID infection. The poor outcome of COVID infection makes vaccination a priority for ALL patients in this pandemic period. Supported in part by 2017 SGR288 (GRC) Generalitat de Catalunya and "la Caixa" Foundation.