Clinical characteristics and risk factors associated with COVID-19 severity in patients with haematological malignancies in Italy: a retrospective, multicentre, cohort study

Autor: Passamonti, F, Cattaneo, C, Arcaini, L, Bruna, R, Cavo, M, Merli, F, Angelucci, E, Krampera, M, Cairoli, R, Della Porta MG, Fracchiolla, N, Ladetto, M, Gambacorti Passerini, C, Salvini, M, Marchetti, M, Lemoli, R, Molteni, A, Busca, A, Cuneo, A, Romano, A, Giuliani, N, Galimberti, S, Corso, A, Morotti, A, Falini, B, Billio, A, Gherlinzoni, F, Visani, G, Tisi, Mc, Tafuri, A, Tosi, P, Lanza, F, Massaia, M, Turrini, M, Ferrara, F, Gurrieri, C, Vallisa, D, Martelli, M, Derenzini, E, Guarini, A, Conconi, A, Cuccaro, A, Cudillo, L, Russo, D, Ciambelli, F, Scattolin, Am, Luppi, M, Selleri, C, Ortu La Barbera, E, Ferrandina, C, Di Renzo, N, Olivieri, A, Bocchia, M, Gentile, M, Marchesi, F, Musto, P, Federici, Ab, Candoni, A, Venditti, A, Fava, C, Pinto, A, Galieni, P, Rigacci, L, Armiento, D, Pane, F, Oberti, M, Zappasodi, P, Visco, C, Franchi, M, Grossi, Pa, Bertù, L, Corrao, G, Pagano, L, Corradini, P, ITA-HEMA-COV, Investigators.
Přispěvatelé: Passamonti, F., Cattaneo, C., Arcaini, L., Bruna, R., Cavo, M., Merli, F., Angelucci, E., Krampera, M., Cairoli, R., Della Porta, M. G., Fracchiolla, N., Ladetto, M., Gambacorti Passerini, C., Salvini, M., Marchetti, M., Lemoli, R., Molteni, A., Busca, A., Cuneo, A., Romano, A., Giuliani, N., Galimberti, S., Corso, A., Morotti, A., Falini, B., Billio, A., Gherlinzoni, F., Visani, G., Tisi, M. C., Tafuri, A., Tosi, P., Lanza, F., Massaia, M., Turrini, M., Ferrara, F., Gurrieri, C., Vallisa, D., Martelli, M., Derenzini, E., Guarini, A., Conconi, A., Cuccaro, A., Cudillo, L., Russo, D., Ciambelli, F., Scattolin, A. M., Luppi, M., Selleri, C., Ortu La Barbera, E., Ferrandina, C., Di Renzo, N., Olivieri, A., Bocchia, M., Gentile, M., Marchesi, F., Musto, P., Federici, A. B., Candoni, A., Venditti, A., Fava, C., Pinto, A., Galieni, P., Rigacci, L., Armiento, D., Pane, F., Oberti, M., Zappasodi, P., Visco, C., Franchi, M., Grossi, P. A., Bertu, L., Corrao, G., Pagano, L., Corradini, P., Passamonti F., Cattaneo C., Arcaini L., Bruna R., Cavo M., Merli F., Angelucci E., Krampera M., Cairoli R., Della Porta M.G., Fracchiolla N., Ladetto M., Gambacorti Passerini C., Salvini M., Marchetti M., Lemoli R., Molteni A., Busca A., Cuneo A., Romano A., Giuliani N., Galimberti S., Corso A., Morotti A., Falini B., Billio A., Gherlinzoni F., Visani G., Tisi M.C., Tafuri A., Tosi P., Lanza F., Massaia M., Turrini M., Ferrara F., Gurrieri C., Vallisa D., Martelli M., Derenzini E., Guarini A., Conconi A., Cuccaro A., Cudillo L., Russo D., Ciambelli F., Scattolin A.M., Luppi M., Selleri C., Ortu La Barbera E., Ferrandina C., Di Renzo N., Olivieri A., Bocchia M., Gentile M., Marchesi F., Musto P., Federici A.B., Candoni A., Venditti A., Fava C., Pinto A., Galieni P., Rigacci L., Armiento D., Pane F., Oberti M., Zappasodi P., Visco C., Franchi M., Grossi P.A., Bertu L., Corrao G., Pagano L., Corradini P., Passamonti, F, Cattaneo, C, Arcaini, L, Bruna, R, Cavo, M, Merli, F, Angelucci, E, Krampera, M, Cairoli, R, Della Porta, M, Fracchiolla, N, Ladetto, M, Gambacorti Passerini, C, Salvini, M, Marchetti, M, Lemoli, R, Molteni, A, Busca, A, Cuneo, A, Romano, A, Giuliani, N, Galimberti, S, Corso, A, Morotti, A, Falini, B, Billio, A, Gherlinzoni, F, Visani, G, Tisi, M, Tafuri, A, Tosi, P, Lanza, F, Massaia, M, Turrini, M, Ferrara, F, Gurrieri, C, Vallisa, D, Martelli, M, Derenzini, E, Guarini, A, Conconi, A, Cuccaro, A, Cudillo, L, Russo, D, Ciambelli, F, Scattolin, A, Luppi, M, Selleri, C, Ortu La Barbera, E, Ferrandina, C, Di Renzo, N, Olivieri, A, Bocchia, M, Gentile, M, Marchesi, F, Musto, P, Federici, A, Candoni, A, Venditti, A, Fava, C, Pinto, A, Galieni, P, Rigacci, L, Armiento, D, Pane, F, Oberti, M, Zappasodi, P, Visco, C, Franchi, M, Grossi, P, Bertu, L, Corrao, G, Pagano, L, Corradini, P
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Male
Lymphoma
Comorbidity
0302 clinical medicine
COVID-19
risk factors
death's rates
haematological malignancies
Retrospective Studie
Risk Factors
Neoplasms
80 and over
haematological malignancies
Viral
Aged
80 and over
education.field_of_study
Leukemia
Mortality rate
Lymphoma
Non-Hodgkin
Hazard ratio
Hematology
Plasma cell neoplasm
Middle Aged
Italy
030220 oncology & carcinogenesis
Hematologic Neoplasms
Cohort
Plasma Cell
Female
Inpatient
Coronavirus Infections
Cohort study
Human
Adult
medicine.medical_specialty
Population
Pneumonia
Viral
Non-Hodgkin
Article
NO
Follow-Up Studie
03 medical and health sciences
Betacoronavirus
Young Adult
COVID-19 haematological malignancies
Internal medicine
COVID-19
haematological malignancies
multicentre
retrospective
cohort study
Multivariable Cox
medicine
Humans
education
Hematologic Neoplasm
Neoplasms
Plasma Cell
Pandemics
Myeloproliferative Disorder
Aged
Retrospective Studies
Inpatients
Follow-Up Studies
Myeloproliferative Disorders
death's rates
Betacoronaviru
business.industry
Coronavirus Infection
SARS-CoV-2
Risk Factor
COVID-19
haematological malignancies
risk factors
COVID-19
Retrospective cohort study
Pneumonia
Settore MED/15
COVID-19 Drug Treatment
Settore MED/15 - MALATTIE DEL SANGUE
Standardized mortality ratio
business
030215 immunology
Zdroj: The Lancet. Haematology
The Lancet Haematology
ISSN: 0435-2556
Popis: Summary Background Several small studies on patients with COVID-19 and haematological malignancies are available showing a high mortality in this population. The Italian Hematology Alliance on COVID-19 aimed to collect data from adult patients with haematological malignancies who required hospitalisation for COVID-19. Methods This multicentre, retrospective, cohort study included adult patients (aged ≥18 years) with diagnosis of a WHO-defined haematological malignancy admitted to 66 Italian hospitals between Feb 25 and May 18, 2020, with laboratory-confirmed and symptomatic COVID-19. Data cutoff for this analysis was June 22, 2020. The primary outcome was mortality and evaluation of potential predictive parameters of mortality. We calculated standardised mortality ratios between observed death in the study cohort and expected death by applying stratum-specific mortality rates of the Italian population with COVID-19 and an Italian cohort of 31 993 patients with haematological malignancies without COVID-19 (data up to March 1, 2019). Multivariable Cox proportional hazards model was used to identify factors associated with overall survival. This study is registered with ClinicalTrials.gov , NCT04352556 , and the prospective part of the study is ongoing. Findings We enrolled 536 patients with a median follow-up of 20 days (IQR 10–34) at data cutoff, 85 (16%) of whom were managed as outpatients. 440 (98%) of 451 hospitalised patients completed their hospital course (were either discharged alive or died). 198 (37%) of 536 patients died. When compared with the general Italian population with COVID-19, the standardised mortality ratio was 2·04 (95% CI 1·77–2·34) in our whole study cohort and 3·72 (2·86–4·64) in individuals younger than 70 years. When compared with the non-COVID-19 cohort with haematological malignancies, the standardised mortality ratio was 41·3 (38·1–44·9). Older age (hazard ratio 1·03, 95% CI 1·01–1·05); progressive disease status (2·10, 1·41–3·12); diagnosis of acute myeloid leukaemia (3·49, 1·56–7·81), indolent non-Hodgin lymphoma (2·19, 1·07–4·48), aggressive non-Hodgkin lymphoma (2·56, 1·34–4·89), or plasma cell neoplasms (2·48, 1·31–4·69), and severe or critical COVID-19 (4·08, 2·73–6·09) were associated with worse overall survival. Interpretation This study adds to the evidence that patients with haematological malignancies have worse outcomes than both the general population with COVID-19 and patients with haematological malignancies without COVID-19. The high mortality among patients with haematological malignancies hospitalised with COVID-19 highlights the need for aggressive infection prevention strategies, at least until effective vaccination or treatment strategies are available. Funding Associazione italiana contro le leucemie, linfomi e mieloma–Varese Onlus.
Databáze: OpenAIRE
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