Literature DB >> 35932208

Lack of efficacy of convalescent plasma in COVID-19 patients with concomitant hematological malignancies: An Italian retrospective study.

Francesco Lanza1, Federica Monaco1, Fabio Ciceri2, Roberto Cairoli3, Maria Vittoria Sacchi4, Anna Guidetti3, Monia Marchetti4, Massimo Massaia5, Luca Arcaini6, Mauro Krampera7, Sara Mohamed8, Filippo Gherlinzoni9, Cristina Mecucci10, Massimo Gentile11, Ilaria Romano12, Adriano Venditti13, Marco Ruggeri14, Dario Ferrero15, Elisa Coviello16, Elisabetta Fabbri17, Paolo Corradini3, Francesco Passamonti18.   

Abstract

A multicenter retrospective study was designed to assess clinical outcome of COVID-19 in patients with hematological malignancies (HM) following treatment with anti-SARS-CoV-2 convalescent plasma (CP) or standard of care therapy. To this aim, a propensity score matching was used to assess the role of non-randomized administration of CP in this high-risk cohort of patients from the Italian Hematology Alliance on COVID-19 (ITA-HEMA-COV) project, now including 2049 untreated control patients. We investigated 30- and 90-day mortality, rate of admission to intensive care unit, proportion of patients requiring mechanical ventilatory support, hospitalization time, and SARS-CoV-2 clearance in 79 CP recipients and compared results with 158 propensity score-matched controls. Results indicated a lack of efficacy of CP in the study group compared with the untreated group, thus confirming the negative results obtained from randomized studies in immunocompetent individuals with COVID-19. In conclusion, this retrospective analysis did not meet the primary and secondary end points in any category of immunocompromized patients affected by HM.
© 2022 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; convalescent plasma; disease severity; hematological malignancy; survival data

Year:  2022        PMID: 35932208      PMCID: PMC9538413          DOI: 10.1002/hon.3060

Source DB:  PubMed          Journal:  Hematol Oncol        ISSN: 0278-0232            Impact factor:   4.850


INTRODUCTION

The use of convalescent plasma (CP) from subjects recovered from Coronavirus 2 (SARS‐CoV‐2) infection has been considered a therapeutic modality for patients affected by mild or severe acute respiratory syndrome associated with Coronavirus disease 2019 (COVID‐19). , , , , , , , , , Three recent meta‐analyses of randomized clinical trials and matched‐control data showed that the use of CP was not associated with a lower mortality rate compared to patients treated with standard drugs. , , Interestingly, a lower mortality was demonstrated in patients who were treated with high titer CP within 3 days of hospital admission, thus supporting a possible overall benefit of COVID‐19 CP in homecare patients as well as in non‐critical hospitalized patients. , , , , , As far the clinical implication of COVID‐19 infection in patients with concomitant hematological malignancies (HM) is concerned, several studies have reported a high mortality rate and the Italian Hematology Alliance on HM and COVID‐19 has found that HM patients with COVID‐19 have a more aggressive clinical course than patients with either HM or COVID‐19 alone. , , , In particular, the preexistence of COVID‐19 in patients with B‐cell lymphoma is associated with impaired generation of neutralizing antibody titers and reduced clearance of SARS‐CoV‐2. A recent study has shown that CP treatment was able to neutralize antibody titers in this patient category and to improve clinical response in 80% of patients examined. In a recent study from Visco et al, a high mortality rate in patients with lymphoma and COVID19 has been observed. The clinical outcome may be easily predicted both in hospitalized and not hospitalized patients by demographics or hematological parameters. In this paper we assessed the association of CP use with 30‐ and 90‐day mortality in COVID‐19 infected patients affected by HM. Secondary end points were represented by the rate of admission to intensive care unit, proportion of pts requiring mechanical ventilatory support, hospitalization time, and virus clearance. A propensity score matching analysis was performed using the Italian Hema‐COV data base including 2049 COVID‐19 patients with hematological malignancies.

Material and methods

This multicenter non‐interventional study, was based on a retrospective data analysis (previously published by Passamonti et al, , Visco et al, and a second retrospective cohort study, aimed at evaluating the impact of the use of CP in reducing mortality in COVID‐19‐infected Italian patients. This sub‐analysis was performed in the same Italian Institutions reporting data over the last 18 months (April 2020‐ October 2021). The present study involved 64 hematology Institutions in Italy. The ITA‐HEMA‐COV (the ITAlian HEMatology Alliance on COVID‐19) worked on behalf of 5 Italian societies, namely SIE (Società Italiana di Ematologia), SIES (Società Italiana di Ematologia Sperimentale), GITMO (Gruppo Italiano Trapianto Midollo Osseo), SEIFEM (Sorveglianza Epidemiologica Infezioni nelle Emopatie), and FIL (Fondazione Italiana Linfomi). All patients (aged ≥18 years) with an established diagnosis of hematological malignancies and being treated with CP were registered by single centers between 25 Feb 2020 and 1 October 2020 (retrospective cohort), and then between April 2020 and October 2021 (retrospective/prospective cohort including the use of CP). Disease severity for COVID‐19 was classified according to the following categories; 1) Mild (non‐pneumonia and mild pneumonia); 2) Severe (dyspnea, respiratory frequency 30/min, SpO2 93%, PaO2/FiO2 <300 and/or lung infiltrates >50%); 3) Critical (respiratory failure, septic shock, and/or multiple organ dysfunction or failure). Seventeen Italian Institutions provided data on the use of CP in COVID‐19 patients with HM. CP was prepared according to national and international guidelines. Serum titer of specific neutralizing antibodies was >160 in all cases and >320 in 50% of preparation using the EIA method. Pathogen (viral) inactivation treatment of the plasma was performed in all CP preparations, in view of presence of viral DNA in donor population, according to national legislation. The plasma volume used was 200 mL of CP for two consecutive days (400 mL in total). CP was used in hospitalized patients. The levels of neutralizing antibody titers in the treated patients‐group were available in a small number of cases (no. 8). Inclusion criteria were a diagnosis of hematological malignancy, according to standard WHO‐criteria and laboratory‐confirmed SARS‐CoV‐2 infection, tested by RT‐PCR on nasopharyngeal swabs following standardized national recommendations. The trial was approved by the institutional review board of Varese Hematology unit. Written informed consent was collected from all patients.

Statistical analysis

The baseline characteristics of the cohort of patients who received the CP were compared with those obtained from controls using a bivariate analysis and the Student's t‐test, Mann‐Whitney test, and Chi square test. Given the observational nature of the study, and considering that the treatment variables were not assigned in a randomized way, we created a propensity score in order to match controls with similar baseline characteristics of patients treated with CP. The individual propensity score to receive plasma treatment was estimated through a multivariate logistic regression model using as covariates the baseline characteristics of the patients potentially influencing the outcomes: age, disease‐type, disease status, COVID severity. For the matching, the nearest‐neighbor method was used with a ratio of 1: 2 between treated and controls. Survival was studied through Kaplan‐Meier curves and compared through log‐rank between CP and controls, considering both the overall cohort and the matched control sample. The significance threshold was 0.05 and the tests were all two‐sided. Analyses were performed with the STATA software, version 14.2.

Results

This multicenter retrospective analysis has been conducted in 64 hematology Institutions in Italy, belonging to ITA‐HEMA‐COV (the ITAlian HEMatology Alliance on COVID‐19) network. The main aim of this study was to assess the clinical efficacy related to the use of convalescent plasma in the treatment of SARS‐CoV‐2 infected patients affected by concomitant HM. The main clinical and laboratory features of the treated and untreated patient subgroups are given in Table 1. Treated group was constituted by 79 patients, while the control group was initially composed by 2490 patients. In order to make a better comparison between treated and untreated patient groups, a propensity score matching analysis was performed. Based on this subanalysis, 79 CP recipients were compared with 158 matched untreated control patients (Table 2).
TABLE 1

Main clinical characteristics of CP‐treated versus untreated control patients, obtained from ITA‐HEMA Covid registry (n 2490 patients with COVID‐19 and concomitant HM)

VariableConvalescent plasma recipient group (n 79)Control group (n 2490) p value
Median age62.1 years63.7 years
SexMale 61.54% (n 48)Male 59.46% (n 1477)0.713
Female 38.46% (n 30)Female 40.54% (n 1007)
Charlson index (m)4.534.240.190
HM subtype:
AML/ALL16.88% (n 13)11.33% (n 282)0.000
MPN/CML/MDS5.19% (n 4)21.49% (n 535)
Aggressive NHL/HL42.86% (n 33)22.65% (n 564)
Indolent NHL/CLL23.38% (n 18)23.78% (n 592)
Plasma cell neoplasm11.69% (n 9)23.78% (n 517)
HM status at the time of Covid‐19 infection
CR34.85% (n 23)41.62% (n 857)0.002
PR34.85% (n 23)19.87% (n 396)
PD19.07% (n 13)13.55% (n 270)
SD10.14% (n 7)24.74% (n 493)
Pneumonia
Yes 53.52% (n 38)Yes 39.29% (n 855)0.016
No 46.48% (n 33)No 60.71% (n 1321)
Severity of Covid‐19
Mild32.00% (n 24)63.99% (n 1477)0.0001
Severe53.33% (n 40)26.86% (n 620)
Critical14.67% (n 11)9.14% (n 211)
ICU admission
Yes 26.58% (n 21)Yes 11.33% (n 282)0.0001
No 73.42% (n 58)No 88.67% (n 2208)

Abbreviations: ALL, Acute Lymphoblastic Leukemia; AML, Acute Myeloid Leukemia; CML, Chronic Myeloid Leukemia; CR, Complete Remission; HL, Hodgkin Lymphoma; HM, Hematological Malignancy; ICU, Intensive Care Unit; MDS, Myelodysplastic Syndrome; MPN, Chronic Myeloproliferative Neoplasm; NHL, Non Hodgkin Lymphoma; PD, Progressive Disease; PR, Partial Remission; SD, Stable Disease; WW, Watch and Wait.

TABLE 2

Main clinical characteristics of CP‐treated versus untreated propensity score‐matched control patients

VariablePlasma convalescent‐treated group (n 79)Control group (n 158) p value
Age (median)62.1 years61.2 years
SexMale 61.54% (n 48)Male 59.87% (n 94)0.806
Female 38.46% (n 30)Female 40.13% (n 63)
Charlson index (m)4.533.86
HM subtype:16.88% (n 13)12.03% (n 19)0.222
AML/ALL5.19% (n 4)12.66% (n 20)
MPN/CML/MDS42.86% (n 33)35.44% (n 56)
Aggressive/CLL23.38% (n 18)22.15% (n 35)
Plasma cell neoplasia11.69% (n 9)17.72% (n 28)
HM status at time of Covid infection
CR33.33% (n 23)31.48% (n 68)0.481
PR33.33% (n 23)30.09% (n 65)
PD18.84% (n 13)18.52% (n 40)
SD10.14% (n 7)10.19% (n 22)
WW4.35% (n 3)9.72% (n 21))
Pneumonia0.627
Yes 53.52% (n 38)Yes 39.29% (n 855)
No 46.48% (n 33)No 60.71% (n 1321)
Severity of Covid‐19
Mild32.00% (n 24)63.99% (n 1477)0.353
Severe53.33% (n 40)26.86% (n 620)
Critical14.67% (n 11)9.14% (n 211)
ICU admission
Yes 26.58% (n 21)Yes 25.95% (n 41)0.0917
No 73.42% (n 58)No 74.05% (n 117)

Abbreviations: ALL, Acute Lymphoblastic Leukemia; AML, Acute Myeloid Leukemia; CML, Chronic Myeloid Leukemia; CR, Complete Remission; HL, Hodgkin Lymphoma; HM, Hematological Malignancy; ICU, Intensive Care Unit; MDS, Myelodysplastic Syndrome; MPN, chronic myeloproliferative neoplasm; NHL, Non Hodgkin Lymphoma; PD, Progressive Disease; PR, Partial Remission; SD, Stable Disease; WW, Watch and Wait.

Main clinical characteristics of CP‐treated versus untreated control patients, obtained from ITA‐HEMA Covid registry (n 2490 patients with COVID‐19 and concomitant HM) Abbreviations: ALL, Acute Lymphoblastic Leukemia; AML, Acute Myeloid Leukemia; CML, Chronic Myeloid Leukemia; CR, Complete Remission; HL, Hodgkin Lymphoma; HM, Hematological Malignancy; ICU, Intensive Care Unit; MDS, Myelodysplastic Syndrome; MPN, Chronic Myeloproliferative Neoplasm; NHL, Non Hodgkin Lymphoma; PD, Progressive Disease; PR, Partial Remission; SD, Stable Disease; WW, Watch and Wait. Main clinical characteristics of CP‐treated versus untreated propensity score‐matched control patients Abbreviations: ALL, Acute Lymphoblastic Leukemia; AML, Acute Myeloid Leukemia; CML, Chronic Myeloid Leukemia; CR, Complete Remission; HL, Hodgkin Lymphoma; HM, Hematological Malignancy; ICU, Intensive Care Unit; MDS, Myelodysplastic Syndrome; MPN, chronic myeloproliferative neoplasm; NHL, Non Hodgkin Lymphoma; PD, Progressive Disease; PR, Partial Remission; SD, Stable Disease; WW, Watch and Wait. In the CP‐treated group, no adverse events were detected following the administration of convalescent plasma therapy. The statistical analysis performed on the comparative assessment of the whole Ita‐Hema‐COV series (n 2490) and CP ‐treated cases (n 79) has shown that CP was mainly used in patients having a more severe COVID‐19 infection (advanced pulmonary infection 53.52% vs. 39.29% ‐p 0.016‐ as well as those hospitalized with several complications 53.33% vs. 26.86% ‐p 0.001) compared with the untreated group. Furthermore, CP was mainly used in patients having a more aggressive stage of hematological disease (i.e., aggressive LNH 42.86% vs. 22.65%; p 0.0001), who were treated with more aggressive chemotherapy courses and not yet achieving a remission phase of the disease (partial response: 34.85% vs. 19.87%; p 0.002). Based on this preliminary statistical analysis, a propensity score‐matched analysis was performed. The Propensity score‐matched control group was composed by 156 cases fully matched for all clinical and laboratory variables (including type of HM). Individual propensities considered several variables, including sex, age, race, ECOG performance status, obesity, hypertension, renal comorbidities, presence of type 2 diabetes, pulmonary impairment, hematologic cancer type, clinical stage and histologic variant, type of treatment, remission phase achieved after treatment, receipt of cytotoxic chemotherapy within 3 months of COVID‐19 diagnosis. In brief, no statistical difference was seen in the two groups (treated vs. untreated group) in terms of 30‐ and 90‐day survival, severity of COVID‐19 disease. Survival data were comparable in the two groups (treated vs. untreated ‐ Figure 1, p, not significant values).
FIGURE 1

Survival analysis curves obtained from CP‐treated patient group (n 79) versus untreated matched patient group (n 158). No differences were seen. CP was used in hospitalized patients

Survival analysis curves obtained from CP‐treated patient group (n 79) versus untreated matched patient group (n 158). No differences were seen. CP was used in hospitalized patients Reasons for death and follow‐up data were comparable in the two groups and are given in Table 3.
TABLE 3

Reason for death and length of Covid‐19 in the various patient groups

CP‐treated n. (%)CP‐untreated n. (%)Total n. (%) p value (chi2 test)
Reason of deathHM2/19 (10.5)5/46 (10.9)7/65 (10.8)0.806
Covid‐1916/19 (84.2)40/46 (87.0)56/65 (86.2)
Other1/19 (5.3)1/46 (2.2)2/65 (3.1)
Recovery_from Covid‐19 (follow‐up)Yes34/72 (47.2)81/149 (54.4)115/221 (52.0)0.319
Reason for death and length of Covid‐19 in the various patient groups Furthermore, the statistical analysis failed to show meaningful differences between the two groups (treated vs. untreated) in terms of the rate of admission to intensive care unit (26.58% vs. 25.95%; p 0.0001), proportion of patients requiring mechanical ventilatory support 47,2% versus. 54,4%; p 0.319), hospitalization time (71,2 days vs. 38,8 days; p 0.4), and timing of virus clearance (p 0.91) (Tables 1 and 3). Furthermore, there was no meaningful difference in the mortality in patients receiving early versus late administration of convalescent plasma therapy.

DISCUSSION

The administration of convalescent plasma (CP) has been recently proposed in severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)‐infected individuals characterized by severe acute respiratory syndrome. , , , , , , , , , However, three recent meta‐analyses of randomized clinical trials and matched‐control data clearly showed that the use of CP was not associated with a lower mortality rate compared to patients treated with standard drugs. , , However, a lower mortality was documented in patients who were treated with high titer CP within 3 days of hospital admission, thus supporting a possible overall benefit of COVID‐19 CP in homecare patients as well as in non‐critical hospitalized patients. , , , , , As far the clinical implication of COVID‐19 in patients with concomitant hematological malignancies (HM) is concerned, several studies have reported a high mortality rate and the Italian Hematology Alliance on HM and COVID‐19 has demonstrated that this patient category is characterized by an aggressive clinical course in most of the examined cases. , , , In particular, the preexistence of COVID‐19 in patients with B‐cell lymphoma is associated with an impaired production of neutralizing antibody titers and reduced clearance of SARS‐CoV‐2. , , , , Recent studies have shown that CP treatment was able to neutralize antibody titers in this patient category and to improve clinical response in a significant number of patients examined. , , , , , , , , , , , Furthermore, a recent study indicates an impaired production of SARS‐CoV‐2‐ neutralizing antibodies in an immunosuppressed individual treated with CP, possibly supporting the notion that virus escape, particularly in immunocompromized individuals where prolonged viral replication occurs, and this may limit the efficacy of CP treatment in at least some HM patients. Although most randomized controlled trials have shown negative results on the use of CP for the treatment of COVID‐19, we thought to be wise to conduct a retrospective analysis aimed at evaluating the role played by CP for adults with COVID‐19 and concomitant HM. , , , , , , , In our series, a propensity score matching was used to better assess the role played by the non‐randomized administration of CP in SARS‐CoV‐2 infected patients affected by concomitant HM. Individual propensities took into account clinical characteristics such as sex, age, race, ECOG performance status, obesity, hypertension, renal comorbidities, presence of type 2 diabetes, pulmonary impairment, hematologic cancer type, clinical stage and histologic variant, type of treatment, receipt of cytotoxic chemotherapy within 3 months of COVID‐19 diagnosis. The association of CP use with 30‐ and 90‐day mortality, rate of admission to intensive care unit, proportion of patients requiring mechanical ventilatory support, hospitalization time, and SARS‐CoV‐2 clearance was investigated in a series of Italian patients affected by COVID‐19 and HM. 79 convalescent plasma recipients were firstly compared with 2049 untreated control patients affected by COVID‐19 and concomitant HM, obtained from the Italian Hematology Alliance on HM and COVID‐19. A second analysis was performed using a propensity score matching to better assess the role played by the non‐randomized administration of CP in SARS‐CoV‐2 infected patients with concomitant hematological malignancies. Results indicate a lack of efficacy of CP in the study group compared with a fully matched untreated group (n. 158 cases). Unfortunately, the levels of SARS‐CoV‐2 antibodies on patients examined were available in a few cases, thus not allowing us to correlate the efficacy of CP with antibody response to COVID‐19 infection and/or previous vaccination. Furthermore, in our series, early administration of CP was not associated with an improvement in survival rates and did not meet secondary end points. These data failed to show an improvement in patients' clinical status and did not result in faster clearance of the virus. In conclusion, this retrospective analysis conducted in a large series of COVID‐19 patients with hematological malignancies seem to confirm the negative results obtained from randomized studies in SARS‐CoV‐2‐infected individuals. Although this survey has some limitations, due to its retrospective nature, the lack of antibody titers against Sars‐CoV‐2, and avoidance of a standardized use of CP in combination with other treatment measures, we do believe that this study may be informative for the medical community. Prospective randomized clinical trials may provide further insights in this high‐risk population.

CONFLICT OF INTEREST

The author declares that there is no conflict of interest that could be perceived as prejudicing the impartiality of the research reported.

PEER REVIEW

The peer review history for this article is available at https://publons.com/publon/10.1002/hon.3060.
  41 in total

1.  Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19: A Randomized Clinical Trial.

Authors:  Ling Li; Wei Zhang; Yu Hu; Xunliang Tong; Shangen Zheng; Juntao Yang; Yujie Kong; Lili Ren; Qing Wei; Heng Mei; Caiying Hu; Cuihua Tao; Ru Yang; Jue Wang; Yongpei Yu; Yong Guo; Xiaoxiong Wu; Zhihua Xu; Li Zeng; Nian Xiong; Lifeng Chen; Juan Wang; Ning Man; Yu Liu; Haixia Xu; E Deng; Xuejun Zhang; Chenyue Li; Conghui Wang; Shisheng Su; Linqi Zhang; Jianwei Wang; Yanyun Wu; Zhong Liu
Journal:  JAMA       Date:  2020-08-04       Impact factor: 56.272

2.  Convalescent plasma treatment of severe COVID-19: a propensity score-matched control study.

Authors:  Judith A Aberg; Nicole M Bouvier; Sean T H Liu; Hung-Mo Lin; Ian Baine; Ania Wajnberg; Jeffrey P Gumprecht; Farah Rahman; Denise Rodriguez; Pranai Tandon; Adel Bassily-Marcus; Jeffrey Bander; Charles Sanky; Amy Dupper; Allen Zheng; Freddy T Nguyen; Fatima Amanat; Daniel Stadlbauer; Deena R Altman; Benjamin K Chen; Florian Krammer; Damodara Rao Mendu; Adolfo Firpo-Betancourt; Matthew A Levin; Emilia Bagiella; Arturo Casadevall; Carlos Cordon-Cardo; Jeffrey S Jhang; Suzanne A Arinsburg; David L Reich
Journal:  Nat Med       Date:  2020-09-15       Impact factor: 53.440

Review 3.  Convalescent plasma, an apheresis research project targeting and motivating the fully recovered COVID 19 patients: A rousing message of clinical benefit to both donors and recipients alike.

Authors:  J Seghatchian; F Lanza
Journal:  Transfus Apher Sci       Date:  2020-04-23       Impact factor: 1.764

4.  (A Little) Clarity on Convalescent Plasma for Covid-19.

Authors:  Louis M Katz
Journal:  N Engl J Med       Date:  2021-01-13       Impact factor: 91.245

5.  Early High-Titer Plasma Therapy to Prevent Severe Covid-19 in Older Adults.

Authors:  Romina Libster; Gonzalo Pérez Marc; Diego Wappner; Silvina Coviello; Alejandra Bianchi; Virginia Braem; Ignacio Esteban; Mauricio T Caballero; Cristian Wood; Mabel Berrueta; Aníbal Rondan; Gabriela Lescano; Pablo Cruz; Yvonne Ritou; Valeria Fernández Viña; Damián Álvarez Paggi; Sebastián Esperante; Adrián Ferreti; Gastón Ofman; Álvaro Ciganda; Rocío Rodriguez; Jorge Lantos; Ricardo Valentini; Nicolás Itcovici; Alejandra Hintze; M Laura Oyarvide; Candela Etchegaray; Alejandra Neira; Ivonne Name; Julieta Alfonso; Rocío López Castelo; Gisela Caruso; Sofía Rapelius; Fernando Alvez; Federico Etchenique; Federico Dimase; Darío Alvarez; Sofía S Aranda; Clara Sánchez Yanotti; Julián De Luca; Sofía Jares Baglivo; Sofía Laudanno; Florencia Nowogrodzki; Ramiro Larrea; María Silveyra; Gabriel Leberzstein; Alejandra Debonis; Juan Molinos; Miguel González; Eduardo Perez; Nicolás Kreplak; Susana Pastor Argüello; Luz Gibbons; Fernando Althabe; Eduardo Bergel; Fernando P Polack
Journal:  N Engl J Med       Date:  2021-01-06       Impact factor: 91.245

6.  A prognostic model for patients with lymphoma and COVID-19: a multicentre cohort study.

Authors:  Carlo Visco; Luigi Marcheselli; Roberto Mina; Marianna Sassone; Anna Guidetti; Domenico Penna; Chiara Cattaneo; Valentina Bonuomo; Alessandro Busca; Andrés José María Ferreri; Riccardo Bruna; Luigi Petrucci; Roberto Cairoli; Marco Salvini; Lorenza Bertù; Marco Ladetto; Sofia Pilerci; Antonello Pinto; Safaa Ramadan; Francesco Marchesi; Michele Cavo; Luca Arcaini; Elisa Coviello; Alessandra Romano; Pellegrino Musto; Massimo Massaia; Nicola Fracchiolla; Monia Marchetti; Annamaria Scattolin; Maria Chiara Tisi; Antonio Cuneo; Matteo Della Porta; Livio Trentin; Marco Turrini; Filippo Gherlinzoni; Agostino Tafuri; Sara Galimberti; Monica Bocchia; Valeria Cardinali; Daniela Cilloni; Alessandro Corso; Daniele Armiento; Luigi Rigacci; Elettra Ortu La Barbera; Carlo Gambacorti-Passerini; Giuseppe Visani; Daniele Vallisa; Adriano Venditti; Carmine Selleri; Annarita Conconi; Patrizia Tosi; Francesco Lanza; Anna Candoni; Mauro Krampera; Paolo Corradini; Francesco Passamonti; Francesco Merli
Journal:  Blood Adv       Date:  2022-01-11

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

Authors:  Francesco Passamonti; Chiara Cattaneo; Luca Arcaini; Riccardo Bruna; Michele Cavo; Francesco Merli; Emanuele Angelucci; Mauro Krampera; Roberto Cairoli; Matteo Giovanni Della Porta; Nicola Fracchiolla; Marco Ladetto; Carlo Gambacorti Passerini; Marco Salvini; Monia Marchetti; Roberto Lemoli; Alfredo Molteni; Alessandro Busca; Antonio Cuneo; Alessandra Romano; Nicola Giuliani; Sara Galimberti; Alessandro Corso; Alessandro Morotti; Brunangelo Falini; Atto Billio; Filippo Gherlinzoni; Giuseppe Visani; Maria Chiara Tisi; Agostino Tafuri; Patrizia Tosi; Francesco Lanza; Massimo Massaia; Mauro Turrini; Felicetto Ferrara; Carmela Gurrieri; Daniele Vallisa; Maurizio Martelli; Enrico Derenzini; Attilio Guarini; Annarita Conconi; Annarosa Cuccaro; Laura Cudillo; Domenico Russo; Fabrizio Ciambelli; Anna Maria Scattolin; Mario Luppi; Carmine Selleri; Elettra Ortu La Barbera; Celestino Ferrandina; Nicola Di Renzo; Attilio Olivieri; Monica Bocchia; Massimo Gentile; Francesco Marchesi; Pellegrino Musto; Augusto Bramante Federici; Anna Candoni; Adriano Venditti; Carmen Fava; Antonio Pinto; Piero Galieni; Luigi Rigacci; Daniele Armiento; Fabrizio Pane; Margherita Oberti; Patrizia Zappasodi; Carlo Visco; Matteo Franchi; Paolo Antonio Grossi; Lorenza Bertù; Giovanni Corrao; Livio Pagano; Paolo Corradini
Journal:  Lancet Haematol       Date:  2020-08-13       Impact factor: 18.959

8.  Association of Convalescent Plasma Therapy With Survival in Patients With Hematologic Cancers and COVID-19.

Authors:  Michael A Thompson; Jeffrey P Henderson; Pankil K Shah; Samuel M Rubinstein; Michael J Joyner; Toni K Choueiri; Daniel B Flora; Elizabeth A Griffiths; Anthony P Gulati; Clara Hwang; Vadim S Koshkin; Esperanza B Papadopoulos; Elizabeth V Robilotti; Christopher T Su; Elizabeth M Wulff-Burchfield; Zhuoer Xie; Peter Paul Yu; Sanjay Mishra; Jonathon W Senefeld; Dimpy P Shah; Jeremy L Warner
Journal:  JAMA Oncol       Date:  2021-06-17       Impact factor: 33.006

9.  COVID-19 elicits an impaired antibody response against SARS-CoV-2 in patients with haematological malignancies.

Authors:  Francesco Passamonti; Alessandra Romano; Marco Salvini; Francesco Merli; Matteo G Della Porta; Riccardo Bruna; Elisa Coviello; Ilaria Romano; Roberto Cairoli; Roberto Lemoli; Francesca Farina; Adriano Venditti; Alessandro Busca; Marco Ladetto; Massimo Massaia; Antonio Pinto; Luca Arcaini; Agostino Tafuri; Francesco Marchesi; Nicola Fracchiolla; Monica Bocchia; Daniele Armiento; Anna Candoni; Mauro Krampera; Mario Luppi; Valeria Cardinali; Sara Galimberti; Chiara Cattaneo; Elettra Ortu La Barbera; Roberto Mina; Francesco Lanza; Giuseppe Visani; Pellegrino Musto; Luigi Petrucci; Francesco Zaja; Paolo A Grossi; Lorenza Bertù; Livio Pagano; Paolo Corradini
Journal:  Br J Haematol       Date:  2021-07-16       Impact factor: 8.615

10.  Convalescent plasma for hospitalized patients with COVID-19: an open-label, randomized controlled trial.

Authors:  Philippe Bégin; Jeannie Callum; Donald M Arnold; Erin Jamula; Richard Cook; Nancy M Heddle; Alan Tinmouth; Michelle P Zeller; Guillaume Beaudoin-Bussières; Luiz Amorim; Renée Bazin; Kent Cadogan Loftsgard; Richard Carl; Michaël Chassé; Melissa M Cushing; Nick Daneman; Dana V Devine; Jeannot Dumaresq; Dean A Fergusson; Caroline Gabe; Marshall J Glesby; Na Li; Yang Liu; Allison McGeer; Nancy Robitaille; Bruce S Sachais; Damon C Scales; Lisa Schwartz; Nadine Shehata; Alexis F Turgeon; Heidi Wood; Ryan Zarychanski; Andrés Finzi
Journal:  Nat Med       Date:  2021-09-09       Impact factor: 53.440

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  2 in total

1.  Lack of efficacy of convalescent plasma in COVID-19 patients with concomitant hematological malignancies: An Italian retrospective study.

Authors:  Francesco Lanza; Federica Monaco; Fabio Ciceri; Roberto Cairoli; Maria Vittoria Sacchi; Anna Guidetti; Monia Marchetti; Massimo Massaia; Luca Arcaini; Mauro Krampera; Sara Mohamed; Filippo Gherlinzoni; Cristina Mecucci; Massimo Gentile; Ilaria Romano; Adriano Venditti; Marco Ruggeri; Dario Ferrero; Elisa Coviello; Elisabetta Fabbri; Paolo Corradini; Francesco Passamonti
Journal:  Hematol Oncol       Date:  2022-08-06       Impact factor: 4.850

2.  Convalescent plasma in oncohematological patients.

Authors:  Daniele Focosi; Massimo Franchini; Michael J Joyner; Jeffrey P Henderson; Arturo Casadevall
Journal:  Hematol Oncol       Date:  2022-08-24       Impact factor: 4.850

  2 in total

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