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1.
Hematol Oncol ; 2022 Jul 19.
Article in English | MEDLINE | ID: covidwho-1935680

ABSTRACT

The impact of secondary infections (SI) on COVID-19 outcome in patients with hematological malignancies (HM) is scarcely documented. To evaluate incidence, clinical characteristics, and outcome of SI, we analyzed the microbiologically documented SI in a large multicenter cohort of adult HM patients with COVID-19. Among 1741 HM patients with COVID-19, 134 (7.7%) had 185 SI, with a 1-month cumulative incidence of 5%. Median time between COVID-19 diagnosis and SI was 16 days (IQR: 5-36). Acute myeloid leukemia (AML) and lymphoma/plasma cell neoplasms (PCN) were more frequent diagnoses in SI patients compared to patients without SI (AML: 14.9% vs 7.1%; lymphoma /PCN 71.7% vs 65.3%). Patients with SI were older (median age 70 vs 66 yrs, p=0.002), with more comorbidities (median Charlson Comorbidity Index 5 vs 4, p<0.001), higher frequency of critical COVID-19 (19.5% vs 11.5%, p=0.046), and more frequently not in complete remission (75% vs 64.7% p=0.024). Blood and bronchoalveolar lavage were the main sites of isolation for SI. Etiology of infections was bacterial in 80% (n=148) of cases, mycotic in 9.7% (n=18) and viral in 10.3% (n=19); polymicrobial infections were observed in 24 patients (18%). Escherichia coli represented most of Gram-negative isolates (18.9%), while coagulase-negative Staphylococci were the most frequent among Gram-positive (14.2%). The 30-days mortality of patients with SI was higher when compared to patients without SI (69% vs 15%, p<0.001). The occurrence of SI worsened COVID-19 outcome in HM patients. Timely diagnosis and adequate management should be considered to improve their prognosis. This article is protected by copyright. All rights reserved.

3.
Marchesi, Francesco, Salmanton-Garcia, Jon, Emarah, Ziad, Piukovics, Klára, Nucci, Marcio, Lopez-Garcia, Alberto, Racil, Zdenek, Farina, Francesca, Popova, Marina, Zompi, Sofia, Audisio, Ernesta, Ledoux, Marie-Pierre, Verga, Luisa, Weinbergerova, Barbora, Szotkowski, Tomas, Silva, Maria, Fracchiolla, Nicola Stefano, De Jonge, Nick, Collins, Graham, Marchetti, Monia, Magliano, Gabriele, GarcÍA-Vidal, Carolina, Biernat, Monika, Doesum, Jaap van, Machado, Marina, Demirkan, Fatih, Khabori, Murtadha Al, Zak, Pavel, Visek, Benjamin, Stoma, Igor, MÉNdez, Gustavo-Adolfo, Maertens, Johan, Khanna, Nina, Espigado, Ildefonso, Dragonetti, Giulia, Fianchi, Luana, Principe, Maria Ilaria Del, Cabirta, Alba, Ormazabal-VÉLez, Irati, Jaksic, Ozren, Buquicchio, Caterina, Bonuomo, Valentina, Batinić, Josip, Omrani, Ali, Lamure, Sylvain, Finizio, Olimpia, FernÁNdez, Noemí, Falces-Romero, Iker, Blennow, Ola, Bergantim, Rui, Ali, Natasha, Win, Sein, Praet, Jens V. A. N.; Tisi, Maria Chiara, Shirinova, Ayten, SchÖNlein, Martin, Prattes, Juergen, Piedimonte, Monica, Petzer, Verena, NavrÁTil, Milan, Kulasekararaj, Austin, Jindra, Pavel, Jiří, Glenthøj, Andreas, Fazzi, Rita, de Ramón, Cristina, Cattaneo, Chiara, Calbacho, Maria, Bahr, Nathan, El-Ashwl, Shaimaa Saber, Córdoba, Raúl, Hanakova, Michaela, Zambrotta, Giovanni, Sciumè, Mariarita, Booth, Stephen, Nunes-Rodrigues, Raquel, Sacchi, Maria Vittoria, GarcÍA-PoutÓN, Nicole, MartÍN-GonzÁLez, Juan-Alberto, Khostelidi, Sofya, GrÄFe, Stefanie, Rahimli, Laman, busca, alessandro, Corradini, Paolo, Hoenigl, Martin, Klimko, Nikolai, Koehler, Philipp, Pagliuca, Antonio, Passamonti, Francesco, Cornely, Oliver, pagano, Livio.
EuropePMC;
Preprint in English | EuropePMC | ID: ppcovidwho-328805

ABSTRACT

Patients with acute myeloid leukemia (AML) are at high risk of mortality from coronavirus disease 2019 (COVID-19). The optimal management of AML patients with COVID-19 has not been established. Our multicenter study included 388 adult AML patients with COVID-19 diagnosis between February 2020 and October 2021. The vast majority were receiving or had received AML treatment in the prior 3 months. COVID-19 was severe in 41.2% and critical in 21.1% of cases. The chemotherapeutic schedule was modified in 174 patients (44.8%), delayed in 68 and permanently discontinued in 106. After a median follow-up of 325 days, 180 patients (46.4%) had died. Death was attributed to COVID-19 (43.3%), AML (26.1%) or to a combination of both (26.7%). Active disease, older age, and treatment discontinuation were associated with death, whereas AML treatment delay was protective. Seventy-nine patients had a simultaneous AML and COVID-19 diagnosis, with an improved survival when AML treatment could be delayed. Patients with COVID-19 diagnosis between January and August 2020 had a significantly lower survival. COVID-19 in AML patients was associated with a high mortality rate and modifications of therapeutic algorithms. The best approach to improve survival was to delay AML treatment.

4.
Blood Adv ; 6(1): 327-338, 2022 01 11.
Article in English | MEDLINE | ID: covidwho-1622201

ABSTRACT

Lymphoma represents a heterogeneous hematological malignancy (HM), which is characterized by severe immunosuppression. Patients diagnosed of coronavirus disease 2019 (COVID-19) during the course of HM have been described to have poor outcome, with only few reports specifically addressing lymphoma patients. Here, we investigated the clinical behavior and clinical parameters of a large multicenter cohort of adult patients with different lymphoma subtypes, with the aim of identifying predictors of death. The study included 856 patients, of whom 619 were enrolled prospectively in a 1-year frame and were followed-up for a median of 66 days (range 1-395). Patients were managed as outpatient (not-admitted cohort, n = 388) or required hospitalization (n = 468), and median age was 63 years (range 19-94). Overall, the 30- and 100-days mortality was 13% (95% confidence interval (CI), 11% to 15%) and 23% (95% CI, 20% to 27%), respectively. Antilymphoma treatment, including anti-CD20 containing regimens, did not impact survival. Patients with Hodgkin's lymphoma had the more favorable survival, but this was partly related to significantly younger age. The time interval between lymphoma diagnosis and COVID-19 was inversely related to mortality. Multivariable analysis recognized 4 easy-to-use factors (age, gender, lymphocyte, and platelet count) that were associated with risk of death, both in the admitted and in the not-admitted cohort (HR 3.79 and 8.85 for the intermediate- and high-risk group, respectively). Overall, our study shows that patients should not be deprived of the best available treatment of their underlying disease and indicates which patients are at higher risk of death. This study was registered with ClinicalTrials.gov, NCT04352556.


Subject(s)
COVID-19 , Lymphoma , Adult , Aged , Aged, 80 and over , Cohort Studies , Humans , Lymphoma/diagnosis , Lymphoma/therapy , Middle Aged , Prognosis , SARS-CoV-2 , Young Adult
6.
Lancet Haematol ; 7(10): e737-e745, 2020 Oct.
Article in English | MEDLINE | ID: covidwho-712017

ABSTRACT

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.


Subject(s)
Betacoronavirus , Coronavirus Infections/epidemiology , Hematologic Neoplasms/epidemiology , Pandemics , Pneumonia, Viral/epidemiology , Adult , Aged , Aged, 80 and over , COVID-19 , Comorbidity , Coronavirus Infections/drug therapy , Female , Follow-Up Studies , Hematologic Neoplasms/therapy , Humans , Inpatients , Italy/epidemiology , Leukemia/epidemiology , Leukemia/therapy , Lymphoma, Non-Hodgkin/epidemiology , Lymphoma, Non-Hodgkin/therapy , Male , Middle Aged , Myeloproliferative Disorders/epidemiology , Myeloproliferative Disorders/therapy , Neoplasms, Plasma Cell/epidemiology , Neoplasms, Plasma Cell/therapy , Retrospective Studies , Risk Factors , SARS-CoV-2 , Young Adult
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