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1.
Visentin, Andrea, Scarfò, Lydia, Chatzikonstantinou, Thomas, Kapetanakis, Anargyros, Demosthenous, Christos, Karakatsoulis, Georgios, Andres, Martin, Antic, Darko, Allsup, David, Baile, Mónica, Bron, Dominique, Capasso, Antonella, Catherwood, Mark, Collado, Rosa, Cordoba, Raul, Cuéllar-García, Carolina, Delgado, Julio, Dimou, Maria, Doubek, Michael, De Paoli, Lorenzo, De Paolis, Maria Rosaria, Del Poeta, Giovanni, Efstathopoulou, Maria, Shimaa, El-Ashwah, Enrico, Alicia, Farina, Lucia, Ferrari, Angela, Foglietta, Myriam, Furstenau, Moritz, Garcia-Marco, Jose A.; Gentile, Massimo, Gimeno, Eva, Maria, Gomes da Silva, Gutwein, Odit, Hakobyan, Yervand, Herishanu, Yair, Hernandez, jose Angel, Herold, Tobias, Iyengar, Sunil, Itchaki, Gilad, Jaksic, Ozren, Janssens, Ann, Kalashnikova, Olga, Kalicinska, Elzbieta, Kater, Arnon P.; Kersting, Sabina, Labrador, Jorge, Lad, Deepesh, Laurenti, Luca, Levin, Mark-David, Lista, Enrico, Malerba, Lara, Marasca, Roberto, Marchetti, Monia, Marquet Palomanes, Juan, Mattsson, Mattias, Mauro, Francesca Romana, Mayor-Bastida, Carlota, Morawska, Marta, Motta, Marina, Munir, Talha, Murru, Roberta, Milosevic, Ivana, Miras Calvo, Fatima, Niemann, Carsten Utoft, Olivieri, Jacopo, Orsucci, Lorella, Papaioannou, Maria, Pavlovsky, Miguel Arturo, Piskunova, Inga S.; Pocali, Barbara, Popov, Viola Maria, Quaglia, Francesca Maria, Quaresmini, Giulia, Raa, Doreen te, Reda, Gianluigi, Rigolin, Gian Matteo, Ruchlemer, Rosa, Shrestha, Amit, Šimkovič, Martin, Špaček, Martin, Sportoletti, Paolo, Stanca Ciocan, Oana, Tadmor, Tamar, Vandenberghe, Elisabeth, Varettoni, Marzia, Vitale, Candida, Van Der Spek, Ellen, Van Gelder, Michel, Wasik-Szczepanek, Ewa, Yáñez, Lucrecia, Yassin, Mohamed A.; Coscia, Marta, Eichhorst, Barbara, Rambaldi, Alessandro, Stavroyianni, Niki, Trentin, Livio, Stamatopoulos, Kostas, Ghia, Paolo.
Blood ; 140:2333-2337, 2022.
Article in English | ScienceDirect | ID: covidwho-2120438
2.
Roeker, Lindsey E.; Scarfo, Lydia, Chatzikonstantinou, Thomas, Abrisqueta, Pau, Eyre, Toby A.; Cordoba, Raul, Muntañola Prat, Ana, Villacampa, Guillermo, Leslie, Lori A.; Koropsak, Michael, Quaresmini, Giulia, Allan, John N.; Furman, Richard R.; Bhavsar, Erica B.; Pagel, John M.; Hernandez-Rivas, Jose Angel, Patel, Krish, Motta, Marina, Bailey, Neil, Miras, Fatima, Lamanna, Nicole, Alonso, Rosalia, Osorio-Prendes, Santiago, Vitale, Candida, Kamdar, Manali, Baltasar, Patricia, Österborg, Anders, Hanson, Lotta, Baile, Mónica, Rodríguez-Hernández, Ines, Valenciano, Susana, Popov, Viola Maria, Barez Garcia, Abelardo, Alfayate, Ana, Oliveira, Ana C.; Eichhorst, Barbara, Quaglia, Francesca M.; Reda, Gianluigi, Lopez Jimenez, Javier, Varettoni, Marzia, Marchetti, Monia, Romero, Pilar, Riaza Grau, Rosalía, Munir, Talha, Zabalza, Amaya, Janssens, Ann, Niemann, Carsten U.; Perini, Guilherme Fleury, Delgado, Julio, Yanez San Segundo, Lucrecia, Gómez Roncero, Ma Isabel, Wilson, Matthew, Patten, Piers, Marasca, Roberto, Iyengar, Sunil, Seddon, Amanda, Torres, Ana, Ferrari, Angela, Cuéllar-García, Carolina, Wojenski, Daniel, El-Sharkawi, Dima, Itchaki, Gilad, Parry, Helen, Mateos-Mazón, Juan José, Martinez-Calle, Nicolas, Ma, Shuo, Naya, Daniel, Van Der Spek, Ellen, Seymour, Erlene K.; Gimeno Vázquez, Eva, Rigolin, Gian Matteo, Mauro, Francesca Romana, Walter, Harriet S.; Labrador, Jorge, De Paoli, Lorenzo, Laurenti, Luca, Ruiz, Elena, Levin, Mark-David, Šimkovič, Martin, Špaček, Martin, Andreu, Rafa, Walewska, Renata, Perez-Gonzalez, Sonia, Sundaram, Suchitra, Wiestner, Adrian, Cuesta, Amalia, Broom, Angus, Kater, Arnon P.; Muiña, Begoña, Velasquez, César A.; Ujjani, Chaitra S.; Seri, Cristina, Antic, Darko, Bron, Dominique, Vandenberghe, Elisabeth, Chong, Elise A.; Lista, Enrico, García, Fiz Campoy, Del Poeta, Giovanni, Ahn, Inhye, Pu, Jeffrey J.; Brown, Jennifer R.; Soler Campos, Juan Alfonso, Malerba, Lara, Trentin, Livio, Orsucci, Lorella, Farina, Lucia, Villalon, Lucia, Vidal, Maria Jesus, Sanchez, Maria Jose, Terol, Maria Jose, De Paolis, Maria Rosaria, Gentile, Massimo, Davids, Matthew S.; Shadman, Mazyar, Yassin, Mohamed A.; Foglietta, Myriam, Jaksic, Ozren, Sportoletti, Paolo, Barr, Paul M.; Ramos, Rafael, Santiago, Raquel, Ruchlemer, Rosa, Kersting, Sabina, Huntington, Scott F.; Herold, Tobias, Herishanu, Yair, Thompson, Meghan C.; Lebowitz, Sonia, Ryan, Christine, Jacobs, Ryan W.; Portell, Craig A.; Isaac, Krista, Rambaldi, Alessandro, Nabhan, Chadi, Brander, Danielle M.; Montserrat, Emili, Rossi, Giuseppe, Garcia-Marco, Jose A.; Coscia, Marta, Malakhov, Nikita, Fernandez-Escalada, Noemi, Skånland, Sigrid Strand, Coombs, Callie C.; Ghione, Paola, Schuster, Stephen J.; Foà, Robin, Cuneo, Antonio, Bosch, Francesc, Stamatopoulos, Kostas, Ghia, Paolo, Mato, Anthony R.; Patel, Meera.
Blood ; 136(Supplement 1):45-49, 2020.
Article in English | PMC | ID: covidwho-1338959

ABSTRACT

Introduction: Patients (pts) with CLL may be at particular risk of severe COVID-19 given advanced age and immune dysregulation. Two large series with limited follow-up have reported outcomes for pts with CLL and COVID-19 (Scarfò, et al. Leukemia 2020;Mato, et al. Blood 2020). To provide maximal clarity on outcomes for pts with CLL and COVID-19, we partnered in a worldwide effort to describe the clinical experience and validate predictors of survival, including potential treatment effects.Methods: This international collaboration represents a partnership between investigators at 141 centers. Data are presented in two cohorts. Cohort 1 (Co1) includes pts captured through efforts by European Research Initiative on CLL (ERIC), Italian CAMPUS CLL Program, and Grupo Español de Leucemia Linfática Crónica. The validation cohort, Cohort 2 (Co2), includes pts from US (66%), UK (23%), EU (7%), and other countries (4%). There is no overlap in cases between cohorts.CLL pts were included if COVID-19 was diagnosed by PCR detection of SARS-CoV-2 and they required inpatient hospitalization. Data were collected retrospectively 2/2020 - 5/2020 using standardized case report forms. Baseline characteristics, preexisting comorbidities (including cumulative illness rating scale (CIRS) score ≥6 vs. <6), CLL treatment history, details regarding COVID-19 course, management, and therapy, and vital status were collected.The primary endpoint of this study was to estimate the case fatality rate (CFR), defined as the proportion of pts who died among all pts hospitalized with COVID-19. Chi-squared test was used to compare frequencies;univariable and multivariable analyses utilized Cox regression. Predictors of inferior OS in both Co1 and Co2 were included in multivariable analyses. Kaplan-Meier method was used to estimate overall survival (OS) from time of COVID-19 diagnosis (dx).Results: 411 hospitalized, COVID-19 positive CLL pts were analyzed (Co1 n=281, Co2 n=130). Table 1 describes baseline characteristics. At COVID-19 dx, median age was 72 in Co1 (range 37-94) and 68 in Co2 (range 41-98);31% (Co1) and 45% (Co2) had CIRS ≥6. In Co1, 48% were treatment-naïve and 26% were receiving CLL-directed therapy at COVID-19 dx (66% BTKi ± anti-CD20, 19% Venetoclax ± anti-CD20, 9.6% chemo/chemoimmunotherapy (CIT), 1.4% PI3Ki, 4% other). In Co2, 36% were never treated and 49% were receiving CLL-directed therapy (65% BTKi ± anti-CD20, 19% Venetoclax ± anti-CD20, 9.4% multi-novel agent combinations, 1.6% CIT, 1.6% PI3Ki, 1.6% anti-CD20 monotherapy, 1.6% other). Most pts receiving CLL-directed therapy had it held at COVID-19 diagnosis (93% in Co1 and 81% in Co2).Frequency of most COVID-19 symptoms/laboratory abnormalities were similar in the two cohorts including fever (88% in both), lymphocytosis (ALC ≥30 x 109/L;27% vs. 21%), and lymphocytopenia (ALC <1.0 x 109/L;18% vs. 28%), while others varied between Co1 and Co2 (p<0.0001), including cough (61% vs. 93%), dyspnea (60% vs. 84%), fatigue (13% vs. 77%).Median follow-up was 24 days (range 2-86) in Co1 and 17 days (1-43) in Co2. CFRs were similar in Co1 and Co2, 30% and 34% (p=0.45). 54% and 43% were discharged while 16% and 23% remained admitted at last follow-up in Co1 and Co2, respectively. The proportion of pts requiring supplemental oxygen was similar (89% vs. 92%) while rate of ICU admission was higher in Co2 (20% vs. 48%, p<0.0001). Figure 1 depicts OS in each cohort. Univariable analyses demonstrated that age and CIRS ≥6 significantly predicted inferior OS in both cohorts, while only age remained an independent predictor of inferior OS in multivariable analyses (Table 2). Prior treatment for CLL (vs. observation) predicted inferior OS in Co1 but not Co2.Conclusions : In the largest cancer dx-specific cohort reported, pts with CLL hospitalized for COVID-19 had a CFR of 30-34%. Advanced patient age at COVID-19 diagnosis was an independent predictor of OS in two large cohorts. This CFR will serve as a benchmark for mortality for future outcomes studies, including thera eutic interventions for COVID-19 in this population. The effect of CLL treatment on OS was inconsistent across cohorts;COVID-19 may be severe regardless of treatment status. While there were no significant differences in distribution of current lines of therapy between cohorts, prior chemo exposure was more common in Co1 vs. Co2, which may account for difference in OS. Extended follow-up will be presented.

3.
Leukemia ; 35(7): 1864-1872, 2021 07.
Article in English | MEDLINE | ID: covidwho-1216445

ABSTRACT

Standard treatment options in classic HCL (cHCL) result in high response rates and near normal life expectancy. However, the disease itself and the recommended standard treatment are associated with profound and prolonged immunosuppression, increasing susceptibility to infections and the risk for a severe course of COVID-19. The Hairy Cell Leukemia Foundation (HCLF) has recently convened experts and discussed different clinical strategies for the management of these patients. The new recommendations adapt the 2017 consensus for the diagnosis and management with cHCL to the current COVID-19 pandemic. They underline the option of active surveillance in patients with low but stable blood counts, consider the use of targeted and non-immunosuppressive agents as first-line treatment for cHCL, and give recommendations on preventive measures against COVID-19.


Subject(s)
COVID-19/complications , Leukemia, Hairy Cell/therapy , COVID-19/epidemiology , COVID-19/pathology , COVID-19/virology , Consensus , Humans , Leukemia, Hairy Cell/complications , Pandemics , Practice Guidelines as Topic , SARS-CoV-2/isolation & purification , Severity of Illness Index
4.
Leukemia ; 34(9): 2354-2363, 2020 09.
Article in English | MEDLINE | ID: covidwho-638239

ABSTRACT

Chronic lymphocytic leukemia (CLL) is a disease of the elderly, characterized by immunodeficiency. Hence, patients with CLL might be considered more susceptible to severe complications from COVID-19. We undertook this retrospective international multicenter study to characterize the course of COVID-19 in patients with CLL and identify potential predictors of outcome. Of 190 patients with CLL and confirmed COVID-19 diagnosed between 28/03/2020 and 22/05/2020, 151 (79%) presented with severe COVID-19 (need of oxygen and/or intensive care admission). Severe COVID-19 was associated with more advanced age (≥65 years) (odds ratio 3.72 [95% CI 1.79-7.71]). Only 60 patients (39.7%) with severe COVID-19 were receiving or had recent (≤12 months) treatment for CLL at the time of COVID-19 versus 30/39 (76.9%) patients with mild disease. Hospitalization rate for severe COVID-19 was lower (p < 0.05) for patients on ibrutinib versus those on other regimens or off treatment. Of 151 patients with severe disease, 55 (36.4%) succumbed versus only 1/38 (2.6%) with mild disease; age and comorbidities did not impact on mortality. In CLL, (1) COVID-19 severity increases with age; (2) antileukemic treatment (particularly BTK inhibitors) appears to exert a protective effect; (3) age and comorbidities did not impact on mortality, alluding to a relevant role of CLL and immunodeficiency.


Subject(s)
Betacoronavirus , Coronavirus Infections/pathology , Leukemia, Lymphocytic, Chronic, B-Cell/complications , Pneumonia, Viral/pathology , Adenine/analogs & derivatives , Age Factors , Aged , Aged, 80 and over , Antineoplastic Agents/pharmacology , Antineoplastic Agents/therapeutic use , COVID-19 , Comorbidity , Coronavirus Infections/diagnosis , Coronavirus Infections/mortality , Female , Humans , Leukemia, Lymphocytic, Chronic, B-Cell/drug therapy , Male , Middle Aged , Pandemics , Piperidines , Pneumonia, Viral/diagnosis , Pneumonia, Viral/mortality , Prognosis , Protein Kinase Inhibitors/pharmacology , Protein Kinase Inhibitors/therapeutic use , Pyrazoles/pharmacology , Pyrazoles/therapeutic use , Pyrimidines/pharmacology , Pyrimidines/therapeutic use , Retrospective Studies , SARS-CoV-2 , Severity of Illness Index , Surveys and Questionnaires
5.
Br J Haematol ; 190(3): 336-345, 2020 08.
Article in English | MEDLINE | ID: covidwho-608148

ABSTRACT

From the outset of the COVID-19 pandemic, patients and healthcare professionals have been concerned that a history of haematological malignancy will lead to an increased risk of severe COVID-19. This led to the UK government advising patients with blood cancers to shield, massive re-organisation of NHS haematology and cancer services, and changes in treatment plans for thousands of patients. Given the unknown effects that relaxation of social-distancing measures will have on the infection rate, we review the evidence to date to see whether a history of haematological malignancy is associated with increased risk of COVID-19. Multivariable analysis of large population studies, taking other known risk factors into account, do indicate that patients with haematological malignancy, especially those diagnosed recently, are at increased risk of death from COVID-19 compared to the general population. The evidence that this risk is higher than for those with solid malignancies is conflicting. There is suggestive evidence from smaller cohort studies that those with myeloid malignancy may be at increased risk within the blood cancer population, but this needs to be confirmed on larger studies. Ongoing large collaborative efforts are required to gain further evidence regarding specific risk factors for severe complications of COVID-19.


Subject(s)
Betacoronavirus , Coronavirus Infections/complications , Hematologic Neoplasms/complications , Pneumonia, Viral/complications , COVID-19 , Coronavirus Infections/epidemiology , Evidence-Based Medicine/methods , Hematologic Neoplasms/epidemiology , Humans , Pandemics , Pneumonia, Viral/epidemiology , Prevalence , Risk Factors , SARS-CoV-2
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