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      Clinical characteristics and outcome of SARS-CoV-2-infected patients with haematological diseases: a retrospective case study in four hospitals in Italy, Spain and the Netherlands

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          Abstract

          To the Editor: We have read with great interest the paper of He et al. published in April 2020 about haematological patients infected with SARS-COV-2 [1]. Although it was a small series with 13 patients, it gave a good insight into the course and outcome of the infection in this patient category. Interestingly, limited data about SARS-COV-2 in haematological patients have become available since this report, with just two other cohorts published [2, 3]. Because of the high mortality in this vulnerable group of patients, it is important to have more information about the course and outcome of this disease in larger patient series. We describe in this letter a cohort of 59 COVID-19 patients with an underlying haematological disease from three European countries. This retrospective case study was performed in four hospitals across Europe: Spain (Hospital Ramón y Cajal, Madrid), Northern-Italy (ASST, Crema, and San Giovanni Bosco General Hospital, Turin) and the Netherlands (University Medical Center Groningen). Patients with COVID-19 infection and a concomitant haematological disease were identified between 10 February 2020 and 15 May 2020. COVID-19 diagnosis was confirmed with a positive RT-PCR assay. Clinical data were retrospectively retrieved from the medical records, including clinical features, laboratory findings, imaging, treatment and outcome. We identified 59 patients with a haematological disease and concomitant COVID-19 infection. Their mean age was 67 years (range 32–92) and 54% were male. Thirty-three patients (56%) had a lymphoid malignancy and 20 patients (34%) suffered from a myeloid malignancy. A relative high incidence of patients (10%) had an idiopathic thrombocytopenic purpura (Table 1). Table 1 Baseline demographic and clinical characteristics of patients infected by SARS-COV-2. Demographics Patients (N  =  59) Age, years (range) 67 (32–92) Male sex, % 54 Patients’ hospital  Hospital Ramón y Cajal, Madrid, N 29  ASST, Crema, N 14  University Medical Center, Groningen, N 8  San Giovanni Bosco General Hospital, Turin, N 8 Haematological disease Lymphoid malignancies,N (%) 33 (56)  Hodgkin lymphoma, N (%) 2 (3,4)  Multiple myeloma, N (%) 10 (16,9)  Chronic lymphatic leukaemia, N (%) 5 (8,5)  Non-Hodgkin lymphoma, N (%) 15 (25,5)  Acute lymphoblastic leukaemia, N (%) 1 (1,7) Myeloid malignancies, N (%) 20 (34)  Acute myeloid leukaemia, N (%) 6 (10)  Myelodysplastic syndrome, N (%) 3 (5,1)  Myeloproliferative neoplasms, N (%) 11 (18,6) Benign haematological disease, N (%) 6 (10)  Idiopathic thrombocytopenic purpura N (%) 6 (10) Last haematological treatment  Haematopoietic cell transplantation, N (%) 2 (3,4)  Chemotherapy <30 days, N (%) 23 (39,0)  Immunotherapy <30 days, N (%) 29 (49,1)   Rituximab 9 (15,3)   Steroids 16 (27,1)   Daratumumab 1 (1,7)   Tyrosine kinase inhibitor 3 (5,1) Thirty-nine (66%) patients were being treated for their underlying disease at the time of COVID-19 diagnosis (Table 1). The mean duration of symptoms before the diagnosis of COVID-19 was 5.8 days (range 0–34). Eighty-eight percent of patients had a community-acquired infection and 54% had metabolic comorbidity (e.g. hypertension, diabetes, obesity or cardiovascular events). The most common presenting symptoms were fever (93%), dyspnoea (62%), dry cough (47%) and diarrhoea (29%). Almost all patients (94%) had CT imaging abnormalities characteristic of COVID-19. The most common radiologic findings were ground glass opacifications. Four patients (7%) had a neutropenia at presentation and 23 (40%) a lymphopenia. The different treatments given for COVID-19 and their outcome are shown in Table 2. Table 2 Treatment and outcome of COVID-19-infected patients with a haematological disease. Hospitalisation  Number of patients hospitalised, N (%) 54 (92)  Hospitalisation duration, days (range) 12 days (1–61) Oxygen therapy  Oxygen support needed, N (%) 47 (79)  Mechanical ventilation needed, N (%) 14 (24)  Non-invasive ventilation/continuous positive airway pressure, N (%) 8 (14)  Mean duration between COVID-19 diagnosis and starting mechanical ventilation, days (range) 5 (0–20) Medicine treatment  Steroids, N (%) 29 (48)  (Hydroxy)chloroquine, N (%) 48 (80)  Tocilizumab, N (%) 7 (12)  Azithromycin, N (%) 28 (47)  Lopinavir/ritonavir, N (%) 26 (43)  Low-molecular-weight heparin, N (%) 20 (34) Survival  Mortality rate, % 34  Mortality rate < 60 years, % 11  Mortality rate > 60 years, % 45 Seven patients with respiratory failure did not start mechanical ventilation due to the underlying advanced haematological disease. Five patients (8.5%) developed a thrombotic event during follow-up, mostly pulmonary embolisms. At last follow-up 20 patients (34%) died due to COVID-19. The mortality rate for patients above 60 years was 45%, and that for patients below 60 years was 11%. There was no difference in survival between lymphoid and myeloid malignancies. In addition, we did not observe any difference in survival between the different treatment strategies of COVID-19 infection. To the best of our knowledge this is the second European series of patients with COVID-19 and a haematological disease [3]. The estimated 1-month overall survival is 71%, which conforms to the survival rate of haematological patients published by Lee et al. and that of other series of patients with a malignancy [2–4]. It must be noted that like other case series the average age of our series is above 60 years and more than 50% of patients had metabolic comorbidities. In the series of Malard et al. there was an overrepresentation of patients with a multiple myeloma [2]. This could not be confirmed in our multinational cohort, although lymphoid malignancies seem to be more common. In our series 92% of the patients needed to be hospitalised, so our data is biased due to the fact that only patients with severe or critical illness were tested due to the limited availability of test capacity. This is also represented in the presenting symptoms: in the series by Lee et al. 61% had a fever, 47% a dry cough, 39% dyspnoea and 6% diarrhoea; these symptoms were all more frequently present in our series at presentation [3]. We did not observe any benefit of the given specific treatments for COVID-19. However, for the role of possible interventions in this category of patients, trials with larger, more uniform cohorts or randomised trials need to be conducted. Overall, patients with a haematological disease seem to be more vulnerable to a more severe course of COVID-19 compared to patients without a malignancy, as already shown in the report by He et al. [1]. Pending a vaccine or treatment for COVID-19, precautions should be taken. Haematology departments should remain a COVID-19-free zone, patients and personnel should strictly comply with hygienic advices and social distancing, and patients and personnel should be tested even upon the mildest symptoms. Because of the expected long duration before normalisation of hospital care, treatment of the underlying disease should be continued when possible.

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          Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China

          Background Cancer patients are regarded as a highly vulnerable group in the current Coronavirus Disease 2019 (COVID-19) pandemic. To date, the clinical characteristics of COVID-19-infected cancer patients remain largely unknown. Patients and methods In this retrospective cohort study, we included cancer patients with laboratory-confirmed COVID-19 from three designated hospitals in Wuhan, China. Clinical data were collected from medical records from 13 January 2020 to 26 February 2020. Univariate and multivariate analyses were carried out to assess the risk factors associated with severe events defined as a condition requiring admission to an intensive care unit, the use of mechanical ventilation, or death. Results A total of 28 COVID-19-infected cancer patients were included; 17 (60.7%) patients were male. Median (interquartile range) age was 65.0 (56.0–70.0) years. Lung cancer was the most frequent cancer type (n = 7; 25.0%). Eight (28.6%) patients were suspected to have hospital-associated transmission. The following clinical features were shown in our cohort: fever (n = 23, 82.1%), dry cough (n = 22, 81%), and dyspnoea (n = 14, 50.0%), along with lymphopaenia (n = 23, 82.1%), high level of high-sensitivity C-reactive protein (n = 23, 82.1%), anaemia (n = 21, 75.0%), and hypoproteinaemia (n = 25, 89.3%). The common chest computed tomography (CT) findings were ground-glass opacity (n = 21, 75.0%) and patchy consolidation (n = 13, 46.3%). A total of 15 (53.6%) patients had severe events and the mortality rate was 28.6%. If the last antitumour treatment was within 14 days, it significantly increased the risk of developing severe events [hazard ratio (HR) = 4.079, 95% confidence interval (CI) 1.086–15.322, P = 0.037]. Furthermore, patchy consolidation on CT on admission was associated with a higher risk of developing severe events (HR = 5.438, 95% CI 1.498–19.748, P = 0.010). Conclusions Cancer patients show deteriorating conditions and poor outcomes from the COVID-19 infection. It is recommended that cancer patients receiving antitumour treatments should have vigorous screening for COVID-19 infection and should avoid treatments causing immunosuppression or have their dosages decreased in case of COVID-19 coinfection.
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            COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study

            Summary Background Individuals with cancer, particularly those who are receiving systemic anticancer treatments, have been postulated to be at increased risk of mortality from COVID-19. This conjecture has considerable effect on the treatment of patients with cancer and data from large, multicentre studies to support this assumption are scarce because of the contingencies of the pandemic. We aimed to describe the clinical and demographic characteristics and COVID-19 outcomes in patients with cancer. Methods In this prospective observational study, all patients with active cancer and presenting to our network of cancer centres were eligible for enrolment into the UK Coronavirus Cancer Monitoring Project (UKCCMP). The UKCCMP is the first COVID-19 clinical registry that enables near real-time reports to frontline doctors about the effects of COVID-19 on patients with cancer. Eligible patients tested positive for severe acute respiratory syndrome coronavirus 2 on RT-PCR assay from a nose or throat swab. We excluded patients with a radiological or clinical diagnosis of COVID-19, without a positive RT-PCR test. The primary endpoint was all-cause mortality, or discharge from hospital, as assessed by the reporting sites during the patient hospital admission. Findings From March 18, to April 26, 2020, we analysed 800 patients with a diagnosis of cancer and symptomatic COVID-19. 412 (52%) patients had a mild COVID-19 disease course. 226 (28%) patients died and risk of death was significantly associated with advancing patient age (odds ratio 9·42 [95% CI 6·56–10·02]; p<0·0001), being male (1·67 [1·19–2·34]; p=0·003), and the presence of other comorbidities such as hypertension (1·95 [1·36–2·80]; p<0·001) and cardiovascular disease (2·32 [1·47–3·64]). 281 (35%) patients had received cytotoxic chemotherapy within 4 weeks before testing positive for COVID-19. After adjusting for age, gender, and comorbidities, chemotherapy in the past 4 weeks had no significant effect on mortality from COVID-19 disease, when compared with patients with cancer who had not received recent chemotherapy (1·18 [0·81–1·72]; p=0·380). We found no significant effect on mortality for patients with immunotherapy, hormonal therapy, targeted therapy, radiotherapy use within the past 4 weeks. Interpretation Mortality from COVID-19 in cancer patients appears to be principally driven by age, gender, and comorbidities. We are not able to identify evidence that cancer patients on cytotoxic chemotherapy or other anticancer treatment are at an increased risk of mortality from COVID-19 disease compared with those not on active treatment. Funding University of Birmingham, University of Oxford.
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              Author and article information

              Contributors
              j.a.van.doesum@umcg.nl
              Journal
              Leukemia
              Leukemia
              Leukemia
              Nature Publishing Group UK (London )
              0887-6924
              1476-5551
              8 July 2020
              : 1-3
              Affiliations
              [1 ]ISNI 0000 0000 9558 4598, GRID grid.4494.d, Department of Hematology, , University Medical Center Groningen, ; Groningen, The Netherlands
              [2 ]ISNI 0000 0000 9248 5770, GRID grid.411347.4, Department of Hematology, , Hospital Ramón y Cajal, ; Madrid, Spain
              [3 ]Hematology Unit, San Giovanni Bosco General Hospital, Torino, Italy
              [4 ]Oncology Unit, ASST of Crema, Crema, Italy
              Author information
              http://orcid.org/0000-0003-0214-3219
              http://orcid.org/0000-0002-6291-4612
              Article
              960
              10.1038/s41375-020-0960-4
              7341026
              32641731
              4fd0009f-3961-444a-8962-af3de14e15cb
              © Springer Nature Limited 2020

              This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

              History
              : 16 June 2020
              : 23 June 2020
              : 30 June 2020
              Categories
              Correspondence

              Oncology & Radiotherapy
              haematological diseases,haematological cancer
              Oncology & Radiotherapy
              haematological diseases, haematological cancer

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