Livio Pagano1,2, Jon Salmanton-García3,4, Francesco Marchesi5, Alberto López-García6, Sylvain Lamure7, Federico Itri8, Maria Gomes-Silva9, Giulia Dragonetti1,2, Iker Falces-Romero10, Jaap van Doesum11, Uluhan Sili12, Jorge Labrador13, Maria Calbacho14, Yavuz M Bilgin15, Barbora Weinbergerová16, Laura Serrano17, José-María Ribera-Santa Susana18, Sandra Malak19, José Loureiro-Amigo20, Andreas Glenthøj21, Raúl Córdoba-Mascuñano6, Raquel Nunes-Rodrigues22, Tomás-José González-López13, Linda Katharina Karlsson23, María-Josefa Jiménez-Lorenzo18, José-Ángel Hernández-Rivas24, Ozren Jaksic25, Zdeněk Ráčil26, Alessandro Busca27, Paolo Corradini28, Martin Hoenigl29,30,31, Nikolai Klimko32, Philipp Koehler3,4, Antonio Pagliuca33, Francesco Passamonti34, Oliver A Cornely3,4,35,36,37. 1. Department of Hematology, Fondazione Policlinico Universitario Agostino Gemelli-Institute for Cancer Research and Care (IRCCS), Rome, Italy. 2. Department of Hematology, Università Cattolica del Sacro Cuore, Rome, Italy. 3. Department I of Internal Medicine, University of Cologne, Faculty of Medicine and University Hospital Cologne, Excellence Center for Medical Mycology (ECMM), Cologne, Germany. 4. University of Cologne, Faculty of Medicine and University Hospital Cologne, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), Cologne, Germany. 5. Hematology and Stem Cell Transplant Unit, IRCCS Regina Elena National Cancer Institute, Rome, Italy. 6. Fundacion Jimenez Diaz University Hospital, Health Research Institute, Instituto de Investigación Sanitaria-Fundación Jiménez-Díaz (IIS-FJD), Madrid, Spain. 7. Departement d'Hematologie Clinique, Centre Hospitalier Universitaire (CHU) de Montpellier, Unité Mixte de Recherche-Centre National de la Recherche Scientifique (UMR-CNRS) 5535, Universite de Montpellier, Montpellier, France. 8. San Luigi Gonzaga Hospital-Orbassano, Orbassano, Italy. 9. Portuguese Institute of Oncology, Lisbon, Portugal. 10. La Paz University Hospital, Madrid, Spain. 11. Department of Hematology, University Medical Center Groningen, Groningen, The Netherlands. 12. Department of Infectious Diseases and Clinical Microbiology, Marmara University, Istanbul, Turkey. 13. Department of Hematology, Hospital Universitario de Burgos, Burgos, Spain. 14. Hospital Universitario 12 de Octubre, Madrid, Spain. 15. Admiraal de Ruijter Hospital, Goes, The Netherlands. 16. Department of Internal Medicine-Hematology and Oncology, Masaryk University and University Hospital Brno, Brno, Czech Republic. 17. Hospital Universitario de Cabueñes, Gijón, Spain. 18. Hospital Germans Trias i Pujol-Institut Català d'Oncologia Badalona Servicio de Hematología Clínica, Barcelona, Spain. 19. Departement d'Oncologie Medicale, Hematologie, Institut Curie, Saint Cloud, France. 20. Hospital de Sant Joan Despí Moisès Broggi, Sant Joan Despí, Spain. 21. Rigshospitalet, Copenhagen, Denmark. 22. Departamento de Hematologia, Instituto Português de Oncologia, Lisboa, Portugal. 23. Department of Hematology, Center for Hemoglobinopathies, Herlev and Gentofte Hospital, Herlev, Denmark. 24. Servicio de Hematología y Hemoterapia, Hospital Universitario Infanta Leonor, Madrid, Spain. 25. Department of Hematology, Dubrava University Hospital, Zagreb, Croatia. 26. Institute of Hematology and Blood Transfusion, Prague, Czech Republic. 27. Stem Cell Transplant Center, Azienda Ospedaliera-Universitaria (AOU) Citta' della Salute e della Scienza, Turin, Italy. 28. University of Milan and Fondazione, IRCCS, Istituto Nazionale dei Tumori, Milan, Italy. 29. Division of Infectious Diseases and Global Public Health, Department of Medicine, University of California San Diego, San Diego, CA. 30. Clinical and Translational Fungal-Working Group, University of California San Diego, La Jolla, CA. 31. Division of Infectious Diseases, Department of Internal Medicine, Medical University of Graz, Graz, Austria. 32. North-Western State Medical University (named after) Iliá Ilich Méchnikov, Saint-Petersburg, Russia. 33. Department of Hematological Medicine, King's College Hospital National Health Service (NHS) Foundation Trust, London, United Kingdom. 34. Department of Medicine, Surgery, University of Insubria and Azienda socio sanitaria territoriale (ASST) Sette Laghi, Ospedale di Circolo of Varese, Varese, Italy. 35. University of Cologne, Faculty of Medicine and University Hospital Cologne, Clinical Trials Centre Cologne (Zentrum für Klinische Studien [ZKS] Köln), Cologne, Germany. 36. University of Cologne, Faculty of Medicine and University Hospital Cologne, Center for Molecular Medicine Cologne (CMMC), Cologne, Germany; and. 37. German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany.
TO THE EDITOR:Coronavirus disease 2019 (COVID-19) is a life-threatening condition of high relevance for comorbid patients, such as those with baseline hematological malignancies (HM).1, 2, 3 In April 2020, the European Hematology Association - Infectious Diseases Working Party opened an open web-based registry to collect all cases of HM adult patients that developed COVID-19 infections (EPICOVIDEHA survey). This registry aimed to describe the epidemiology, risk factors, and mortality rates of HM patients. Overall, we collected 3801 valid cases, and we observed an overall mortality rate of 31%.Nearly 1 year after the first described COVID-19 case, in December 2020, the first vaccines against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were available,6, 7 and administration to the highest risk populations including HM patients started.8, 9 From 1 January 2021, we prospectively collected registry data on adult fully or partially vaccinated HM patients that developed COVID-19 to assess the vaccine efficacy and potentially identify categories of patients that may be less protected by vaccines. With this report, we share our findings of the first 113 patients included in the registry.EPICOVIDEHA survey has been approved centrally by the Institutional Review Board and Ethics Committee of Fondazione Policlinico Universitario A. Gemelli – IRCCS – Università Cattolica del Sacro Cuore (Rome, Italy) and by the respective local partners as appropriate. EPICOVIDEHA has been registered at www.clinicaltrials.gov with the identifier NCT04733729. From 1 January 2021 until 31 December 2021, all participating institutions document episodes of COVID-19 in their patients with baseline HM that received a vaccination against SARS-CoV-2. Data are collected via the EPICOVIDEHA electronic case report form, available at www.clinicalsurveys.net. This online survey is provided by Enterprise Feedback Suite Fall 2018 (Questback, Cologne, Germany). Clinical and epidemiological data from patients with the laboratory-based diagnosis of SARS-CoV-2 infection after partial or complete vaccination are collected. Data captured included underlying conditions before SARS-CoV-2, HM status and management before SARS-CoV-2, SARS-CoV-2 vaccination, and infection details and mortality. The diagnosis of COVID-19 accords to the international recommendations of the World Health Organization (WHO). The severity of COVID-19 at admission is graded according to the China Centers for Disease Control and Prevention definitions. Patients are considered fully vaccinated if the final dose was administered at least 14 days before symptom onset or a positive polymerase chain reaction test for SARS-CoV-2.As of 31 August 2021, 113 COVID-19 episodes among partially or completely vaccinated patients with HM have been registered in EPICOVIDEHA. These patients have been reported from 42 out of 163 centers in 14 out of 38 European and non-European countries participating in the survey. The clinical characteristics of these patients are reported in Table 1
. The majority of them were males (61.1%) and over 50 years of age (85.8%). More than 80% of patients had underlying lymphoproliferative malignancies (chronic lymphoid leukemia [CLL], non-Hodgkin lymphoma [NHL], acute lymphoblastic leukemia, Hodgkin's lymphoma, and multiple myeloma). Seventy-eight (68.1%) patients received active treatment of underlying HM at the time of COVID-19 or within the prior 3 months. Following the recommendations of major international scientific societies,8, 9 the majority of our patients received an mRNA vaccine (BioNTech/Pfizer n = 79 [69.9%], Moderna n = 20 [17.7%]), whereas the remaining 14 (12.4%) received a vector-based vaccine (AstraZeneca Oxford, n = 10) or an inactivated vaccine (Sinovac CoronaVac, n = 4); overall, the median time from the last dose of vaccine and COVID-19 diagnosis was of 64 days (IQR: 33.5-108). Eighty-seven patients (77%) were considered fully vaccinated, whereas the remaining 26 received only 1 shot; in all fully vaccinated patients, COVID-19 was diagnosed more than 2 weeks after the second vaccine dose. Viral genomes of infection were analyzed in only 37 (32.7%) cases and the α-variant was the most frequently observed (supplemental Figure 1). Postvaccine IgG levels against SARS-CoV-2 spike protein were analyzed in 40 (35.4%) fully vaccinated patients, 2 to 4 weeks from the last vaccine dose. Among these patients, only 13 (32.5%) presented an antibody response to vaccine (optimal: 8; weak: 5), whereas the remaining 27 (67.5%) were considered no responders (BAU <30/mL). Overall, 79 (60.4%) patients had a severe or critical infection. Seventy-five patients (66.4%) were admitted to the hospital: 16 (21.3%) of them to an ICU, and 10/16 required mechanical ventilation (Table 2
); detailed data about COVID-19 symptoms and severity according HM diagnosis have been described in supplemental Table 1. After a follow-up of 30 days post-COVID-19 diagnosis, the overall mortality rate was 12.4% (n = 14). COVID-19 was the main or a secondary cause of death for all but 1 patient; interestingly, we did not observe any statistical difference in terms of mortality between partially or fully vaccinated patients (15.4% vs 11.5%; P = .734) and between patients achieving a serological response to vaccine vs nonresponders (13.3% vs 15.6%; P = 1). In addition, we did not find any significant differences in terms of age or comorbidities comparing responder vs nonresponder patients. Moreover, our multivariable analysis showed that the only factor independently related to the risk of death in our cohort of vaccinated patients was the age (P = .035; HR 1.053, 95% CI: 1.004-1.105) (supplemental Table 2). Ten of 14 (71.4%) patients who died had underlying lymphoproliferative malignancies. With the caution due to the limited number of reported cases, it is worth it to underline that none of the patients who died had underlying acute myeloid leukemia, which in our previous analysis in nonvaccinated patients was the category with one of the highest mortality rates.
Table 1
Clinical characteristics of 113 vaccinated HM patients that developed COVID-19 infection
Patients, n
%
Sex
Female/male
44/69
38.9/61.1
Age (y.o.) (IQR) [range]
66 (58 - 78) [21 - 94]
50/>50 y.o.
16/97
14.2/85.8
Comorbidities
None/1-2-3 comorbidities
36/77
31.9/68.1
Smoking history
17
15.0
Malignancy
Acute lymphoid leukemia
3
2.6
Chronic lymphoid leukemia
28
24.8
Acute myeloid leukemia
5
4.4
Chronic myeloid leukemia
1
0.9
Myelodysplastic syndrome
7
6.2
Hodgkin lymphoma
4
3.5
Non-Hodgkin lymphoma
36
31.9
Myelofibrosis
3
2.7
Polycythemia vera
2
1.8
Systemic mastocytosis
2
1.8
Multiple myeloma
20
17.7
Aplastic anemia
2
1.8
Malignancy status before COVID-19
Controlled disease*
51
45.1
Active disease
60
53.1
Not reported
2
1.8
Last malignancy treatment (in the last 3 mo)
alloHSCT (in the last 6 mo)
1
0.9
Chemotherapy
77
68.1
Conventional chemotherapy
13
11.5
Hypomethylating agents
4
3.5
Immunotherapy
9
8.0
Immunochemotherapy
30
26.5
Targeted therapy
21
18.6
No treatment
35
31.0
Patients with previous COVID-19 infections
2
1.8
Yes/no
2/111
1.8/98.2
Vaccination
One dose
25
22.1
Two doses
88
77.8
Patient that received vaccination at least 14 d before COVID-19 infection
87
77.0
Type of vaccine
mRNA + LNP
BioNTech/Pfizer
79
69.9
Moderna COVE
20
17.7
Vector-based
AstraZeneca Oxford
10
8.8
Inactivated
Sinovac
4
3.5
Antispike protein Ig dosage after vaccination (referring to WHO international standards, BAU/mL)
Outcome of vaccinated patients that developed COVID-19 infection
N patients
%
Stay during COVID-19
Hospital
75
66.4
COVID-19 ward
59
83.8
ICU
16
14.2
Of which, invasive mechanical ventilation
10
8.8
Home
38
33.6
Overall mortality at 30 d
14
12.4
Attributable to COVID-19
9/14
64.3
+ Hematological malignancy
3/14
21.4
Contributable by COVID-19
4/14
28.6
+ Other reasons*
2/14
14.3
Not related to COVID-19
1/14
7.1
+ Hematological malignancy
1/14
7.1
Mortality according to severity
Asymptomatic
1/14
7.1
Mild infection
1/14
7.1
Severe infection
7/14
50.0
Critical infection
5/14
35.7
Mortality for stay
Hospital
13/14
11.5
ICU
5/14
35.7
Of which, invasive mechanical ventilation
5/5
100.0
Home
1/14
7.1
Mortality according to type of vaccine
BioNTech/Pfizer
12/79
15.2
Moderna COVE
1/20
5.0
AstraZeneca Oxford
1/10
10.0
Sinovac
0/4
0.0
Mortality according to SARS-CoV-2 variant
WT
0/14
0.0
English: alpha (α)
4/14
28.6
South African: beta (β)
0/14
0.0
Indian: delta (δ)
0/14
0.0
Not tested
10/14
71.4
Mortality according to vaccine scheme
1 dose
4/25
28.6
Full dose
10/78
71.4
Mortality according to type of hematological malignancy
Acute lymphoid leukemia
0/3
0.0
Chronic lymphoid leukemia
2/28
7.1
Acute myeloid leukemia
0/5
0.0
Chronic myeloid leukemia
0/1
0.0
Myelodysplastic syndrome
2/7
28.6
Hodgkin lymphoma
1/4
25.0
Non-Hodgkin lymphoma
6/36
16.7
Myelofibrosis
1/3
33.3
Polycythemia vera
0/2
0.0
Systemic mastocytosis
1/2
50.0
Multiple myeloma
1/20
5.0
Aplastic anemia
0/2
0.0
Mortality for patients with active hematological malignancy
Yes/no
7/7
50.0/50.0
Mortality for patients with chemo-immuno or radiotherapy
in the last 3 mo
10/14
71.4
more than 3 mo/w&w
4/14
28.6
alloHSCT, allogeneic hematopoietic stem cell transplantation; COVE, Coronavirus Efficacy and Safety Study; ICU, intensive care unit; w&w, watch and wait.
Renal impairment plus bacterial infection; intestinal subocclusion.
Clinical characteristics of 113 vaccinated HM patients that developed COVID-19 infectionalloHSCT, allogeneic hematopoietic stem cell transplantation; BAU, binding antibody units; COVE, Coronavirus Efficacy and Safety Study; IQR, interquartile range; LNP, lipid nanoparticles; mRNA, messenger RNA; N, number; WT, wild type; y.o., years old.Controlled disease: partial remission or better.Outcome of vaccinated patients that developed COVID-19 infectionalloHSCT, allogeneic hematopoietic stem cell transplantation; COVE, Coronavirus Efficacy and Safety Study; ICU, intensive care unit; w&w, watch and wait.Renal impairment plus bacterial infection; intestinal subocclusion.A generalized anti-SARS-CoV-2 vaccination policy has allowed a marked reduction in the incidence of severe COVID-19 in the general population. However, some reports indicate the occurrence of the infection in a limited number of vaccinated subjects.12, 13, 14 These are mostly subjects who have not developed protective immunity. Our survey, involving 42 hematology departments around the world, provides some preliminary insights. The majority of patients who do not respond to vaccination are patients with lymphoproliferative diseases, mainly CLL and NHL. This has also been observed for other vaccinations (eg, influenza).15, 16 Our results suggest that the low serologic response rate to anti-SARS-CoV-2 vaccines in patients with HM may translate to higher rates of infections. This has previously been described following monoclonal antibody treatment.17, 18, 19, 20, 21, 22, 23 Unfortunately, only little data are available on the genomic characterization of the virus. We expect to have more detailed data at the end of this survey. Given policies that differ between sites, postvaccination serology results were available in only ∼35% of patients, and of those about two-thirds were serologically nonresponders. An important limitation of these data is that methods for evaluating anti-SARS-CoV-2 antibodies were different among enrolling centers; as a consequence we tried to reduce this interlaboratory variability by referring to the WHO standardized method (https://www.who.int/news-room/feature-stories/detail/standardization-of-vaccines-for-coronavirus-disease-covid-19). Importantly, the overall mortality observed in our patients, although lower than in the prevaccination period (∼31%), remained high (12.4%). This percentage, on one hand, remains quite worrying for hematologists, but on the other hand should be interpreted as a significant achievement following the spread of vaccination programs around the world. The hospitalization and mortality rates are still higher than the ones observed in the fully vaccinated general population, where hospitalization rates of 2% to 3% have been reported.12, 13, 24, 25 Our study reports preliminary observations, and the low number of vaccinated patients is the main weakness, for now limiting the possibility to define the real incidence of breakthrough COVID-19 in HM.Recruitment to this survey continues, and larger numbers of cases will enable us to draw more conclusions in order to develop strategies to prevent severe COVID-19 in this frail population.Informed consent was collected as applicable.
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