Outcomes of patients with hematologic malignancies and COVID-19: a report from the ASH Research Collaborative Data Hub

Author:

Wood William A.1,Neuberg Donna S.2,Thompson J. Colton3,Tallman Martin S.4,Sekeres Mikkael A.5,Sehn Laurie H.67,Anderson Kenneth C.8,Goldberg Aaron D.4ORCID,Pennell Nathan A.9,Niemeyer Charlotte M.10ORCID,Tucker Emily3,Hewitt Kathleen3,Plovnick Robert M.3,Hicks Lisa K.11

Affiliation:

1. Division of Hematology, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC;

2. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA;

3. ASH Research Collaborative, Washington, DC;

4. Division of Hematologic Malignancies, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY;

5. Leukemia Program, Cleveland Clinic, Cleveland, OH;

6. British Columbia Cancer Centre for Lymphoid Cancer, Vancouver, BC, Canada;

7. Division of Medical Oncology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada;

8. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA;

9. Lung Cancer Program, Cleveland Clinic, Cleveland, OH;

10. Department of Pediatric Hematology and Oncology, Medical Center Freiburg, Freiburg, Germany; and

11. Division of Hematology/Oncology, Department of Medicine, St. Michael’s Hospital, Toronto, ON, Canada

Abstract

Abstract Coronavirus disease 2019 (COVID-19) is an illness resulting from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that emerged in late 2019. Patients with cancer, and especially those with hematologic malignancies, may be at especially high risk of adverse outcomes, including mortality resulting from COVID-19 infection. The ASH Research Collaborative COVID-19 Registry for Hematology was developed to study features and outcomes of COVID-19 infection in patients with underlying blood disorders, such as hematologic malignancies. At the time of this report, data from 250 patients with blood cancers from 74 sites around the world had been entered into the registry. The most commonly represented malignancies were acute leukemia (33%), non-Hodgkin lymphoma (27%), and myeloma or amyloidosis (16%). Patients presented with a myriad of symptoms, most frequently fever (73%), cough (67%), dyspnea (50%), and fatigue (40%). Use of COVID-19–directed therapies, such as hydroxychloroquine (n = 76) or azithromycin (n = 59), was common. Overall mortality was 28%. Patients with a physician-estimated prognosis from the underlying hematologic malignancy of <12 months at the time of COVID-19 diagnosis and those with relapsed/refractory disease experienced a higher proportion of moderate/severe COVID-19 disease and death. In some instances, death occurred after a decision was made to forgo intensive care unit admission in favor of a palliative approach. Taken together, these data support the emerging consensus that patients with hematologic malignancies experience significant morbidity and mortality resulting from COVID-19 infection. Batch submissions from sites with high incidence of COVID-19 infection are planned to support future analyses.

Publisher

American Society of Hematology

Subject

Hematology

Reference26 articles.

1. WHO Director-General’s opening remarks at the media briefing on COVID-1;World Health Organization,2020

2. Pathophysiology, transmission, diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review;Wiersinga;JAMA,2020

3. Risk of COVID-19 for patients with cancer;Wang;Lancet Oncol,2020

4. Respiratory virus infections of the stem cell transplant recipient and the hematologic malignancy patient;Fontana;Infect Dis Clin North Am,2019

5. COVID-19 and its implications for thrombosis and anticoagulation;Connors;Blood,2020

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