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).1-3 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).4 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%.5 

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 NCT04733729.4 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).10 The severity of COVID-19 at admission is graded according to the China Centers for Disease Control and Prevention definitions.11 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.5 

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 2.6 
 Chronic lymphoid leukemia 28 24.8 
 Acute myeloid leukemia 4.4 
 Chronic myeloid leukemia 0.9 
 Myelodysplastic syndrome 6.2 
 Hodgkin lymphoma 3.5 
 Non-Hodgkin lymphoma 36 31.9 
 Myelofibrosis 2.7 
 Polycythemia vera 1.8 
 Systemic mastocytosis 1.8 
 Multiple myeloma 20 17.7 
 Aplastic anemia 1.8 
Malignancy status before COVID-19   
 Controlled disease* 51 45.1 
 Active disease 60 53.1 
 Not reported 1.8 
Last malignancy treatment (in the last 3 mo)   
 alloHSCT (in the last 6 mo) 0.9 
 Chemotherapy 77 68.1 
  Conventional chemotherapy 13 11.5 
  Hypomethylating agents 3.5 
  Immunotherapy 8.0 
  Immunochemotherapy 30 26.5 
  Targeted therapy 21 18.6 
 No treatment 35 31.0 
Patients with previous COVID-19 infections 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 3.5 
Antispike protein Ig dosage after vaccination (referring to WHO international standards, BAU/mL)   
 No response (<30) 27 23.9 
 Weak response (31-250) 4.4 
 Optimal response (>250) 
 Unknown/not measured 73 64.7 
COVID-19 infection   
 WT 11 9.7 
 English: alpha (α) 16 14.2 
 South African: beta (β) 0.9 
 Indian: delta (δ) 8.0 
 Not tested 76 67.3 
Severity   
 Asymptomatic 22 19.5 
 Mild infection 12 10.6 
 Severe infection 63 55.8 
 Critical infection 16 14.2 
Symptomatology at onset   
 Asymptomatic 23 20.4 
 Pulmonary symptoms 37 32.7 
 Extrapulmonary symptoms 14 12.4 
 Pulmonary and extrapulmonary 39 34.5 
Neutrophil count   
 ≥500/mm3 98 86.7 
Lymphocyte count   
 ≥200/mm3 92 81.4 
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 2.6 
 Chronic lymphoid leukemia 28 24.8 
 Acute myeloid leukemia 4.4 
 Chronic myeloid leukemia 0.9 
 Myelodysplastic syndrome 6.2 
 Hodgkin lymphoma 3.5 
 Non-Hodgkin lymphoma 36 31.9 
 Myelofibrosis 2.7 
 Polycythemia vera 1.8 
 Systemic mastocytosis 1.8 
 Multiple myeloma 20 17.7 
 Aplastic anemia 1.8 
Malignancy status before COVID-19   
 Controlled disease* 51 45.1 
 Active disease 60 53.1 
 Not reported 1.8 
Last malignancy treatment (in the last 3 mo)   
 alloHSCT (in the last 6 mo) 0.9 
 Chemotherapy 77 68.1 
  Conventional chemotherapy 13 11.5 
  Hypomethylating agents 3.5 
  Immunotherapy 8.0 
  Immunochemotherapy 30 26.5 
  Targeted therapy 21 18.6 
 No treatment 35 31.0 
Patients with previous COVID-19 infections 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 3.5 
Antispike protein Ig dosage after vaccination (referring to WHO international standards, BAU/mL)   
 No response (<30) 27 23.9 
 Weak response (31-250) 4.4 
 Optimal response (>250) 
 Unknown/not measured 73 64.7 
COVID-19 infection   
 WT 11 9.7 
 English: alpha (α) 16 14.2 
 South African: beta (β) 0.9 
 Indian: delta (δ) 8.0 
 Not tested 76 67.3 
Severity   
 Asymptomatic 22 19.5 
 Mild infection 12 10.6 
 Severe infection 63 55.8 
 Critical infection 16 14.2 
Symptomatology at onset   
 Asymptomatic 23 20.4 
 Pulmonary symptoms 37 32.7 
 Extrapulmonary symptoms 14 12.4 
 Pulmonary and extrapulmonary 39 34.5 
Neutrophil count   
 ≥500/mm3 98 86.7 
Lymphocyte count   
 ≥200/mm3 92 81.4 

alloHSCT, 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.

Table 2.

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 
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.

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.12-14 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.17-23 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.

Università Cattolica del Sacro Cuore contributed to the funding of this research project and its publication.

Contribution: L.P. set up EPICOVIDEHA, conceived the study idea, provided clinical details from local patients, interpreted the data, wrote the initial draft of the manuscript, and revised and approved the final manuscript; J.S.-G. enrolled patients and performed formal validation of the clinical details, extracted data from EPICOVIDEHA patients, performed the statistical analysis and interpreted the data, wrote the initial draft of the manuscript, created tables, and revised and approved the final manuscript; F.M. provided clinical details from local patients interpreted the data, interpreted the data, wrote the initial draft of the manuscript, and revised and approved the final manuscript; A.L.-G., S.L., F.I., M.G.-S., G.D., I.F.-R., J.v.D., U.S., J.L., M.C., Y.M.B., B.W., L.S., J.-M.R.-S.S., S.M., J.L.-A., A.G., R.C.-M., R.N.-R., T.-J.G.-L., L.K.K., M.-J.J.-L., J.-A.H.-R., O.J., Z.R., and the researchers listed in the study group provided clinical details from local patients and revised and approved the final manuscript; and A.B., P.C., M.H., N.K., P.K., A.P., F.P., and O.A.C. set up EPICOVIDEHA, conceived the study idea, and revised and approved the final manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests.

A list of the members of the EPICOVIDEHA study group appears in “ Appendix.”

Correspondence: Livio Pagano, Fondazione Policlinico Universitario A. Gemelli–IRCCS–Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Roma, Italia; e-mail:Livio.Pagano@unicatt.it.

Requests for data sharing may be submitted to Livio Pagano (livio.pagano@unicatt.it).

The online version of this article contains a data supplement.

There is a Blood Commentary on this article in this issue.

Appendix

Members of the EPICOVIDEHA study group: Florian Reizine (Rennes, France); Malgorzata Mikulska (Genoa, Italy); Hytham K. S. Hamid (Caserta, Italy); Nicola S. Fracchiolla (Milan, Italy); Francesca Farina (Milan, Italy); Nicola Coppola (Naples, Italy); Caterina Buquicchio (Barletta, Italy); Avinash Aujayeb (Cramlington, United Kingdom); Przemyslaw Zdziarski (Wroclaw, Poland); Maria Chiara Tisi (Vicenza, Italy); Martin Schönlein (Hamburg, Germany); Gianpaolo Nadali (Verona, Italy); Martin Kolditz (Dresden, Germany); Michaela Hanakova (Czech Republic); Monica Fung (San Francisco); Maureen Chbat (Chesnay, France); Caroline Besson (Versailles, France); Valentina Bonuomo, (Verona, Italy); and Ghaith Abu-Zeinah (New York, NY).

1.
Wood
WA
,
Neuberg
DS
,
Thompson
JC
, et al
.
Outcomes of patients with hematologic malignancies and COVID-19: a report from the ASH Research Collaborative Data Hub
.
Blood Adv.
2020
;
4
(
23
):
5966
-
5975
.
2.
Ljungman
P
,
de la Camara
R
,
Mikulska
M
, et al
.
COVID-19 and stem cell transplantation; results from an EBMT and GETH multicenter prospective survey
.
Leukemia.
2021
;
35
(
10
):
2885
-
2894
.
3.
Passamonti
F
,
Cattaneo
C
,
Arcaini
L
, et al;
ITA-HEMA-COV Investigators
.
Clinical characteristics and risk factors associated with COVID-19 severity in patients with haematological malignancies in Italy: a retrospective, multicentre, cohort study
.
Lancet Haematol.
2020
;
7
(
10
):
e737
-
e745
.
4.
Salmanton-García
J
,
Busca
A
,
Cornely
OA
, et al
.
EPICOVIDEHA: a ready to use platform for epidemiological studies in hematological patients with COVID-19
.
HemaSphere.
2021
;
5
(
7
):
e612
.
5.
Pagano
L
,
Salmanton-García
J
,
Marchesi
F
, et al;
EPICOVIDEHA working group
.
COVID-19 infection in adult patients with hematological malignancies: a European Hematology Association Survey (EPICOVIDEHA)
.
J Hematol Oncol.
2021
;
14
(
1
):
168
.
6.
Anderson
EJ
,
Rouphael
NG
,
Widge
AT
, et al;
mRNA-1273 Study Group
.
Safety and immunogenicity of SARS-CoV-2 mRNA-1273 vaccine in older adults
.
N Engl J Med.
2020
;
383
(
25
):
2427
-
2438
.
7.
Polack
FP
,
Thomas
SJ
,
Kitchin
N
, et al;
C4591001 Clinical Trial Group
.
Safety and efficacy of the BNT162b2 mRNA Covid-19 vaccine
.
N Engl J Med.
2020
;
383
(
27
):
2603
-
2615
.
8.
Brockhoff
R
,
Akan
H
,
Duarte
R
, et al
.
Expert opinions for COVID-19 vaccination in patients with hematologic cancer
. https://ehaweb.org/covid-19/eha-statement-on-covid-19-vaccines/recommendations-for-covid-19-vaccination-in-patients-with-hematologic-cancer/. Accessed 20 September 2021.
9.
Committee NCCNC-VA
.
Preliminary recommendations of the NCCN-COVID-19 Vaccination Advisory Committee
.
2020
. https://www.nccn.org/covid-19/pdf/COVID-19_Vaccination_Guidance_V1.0.pdf. Accessed 24 September 2021.
10.
World Health Organization
.
COVID-19 Clinical management: living guidance
.
2021
. https://www.who.int/publications/i/item/WHO-2019-nCoV-clinical-2021-1. Accessed 24 September 2021.
11.
Wu
Z
,
McGoogan
JM
.
Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention
.
JAMA.
2020
;
323
(
13
):
1239
-
1242
.
12.
Bergwerk
M
,
Gonen
T
,
Lustig
Y
, et al
.
Covid-19 breakthrough infections in vaccinated health care workers
.
N Engl J Med.
2021
;
385
(
16
):
1474
-
1484
.
13.
Brown
CM
,
Vostok
J
,
Johnson
H
, et al
.
Outbreak of SARS-CoV-2 infections, including COVID-19 vaccine breakthrough infections, associated with large public gatherings - Barnstable County, Massachusetts, July 2021
.
MMWR Morb Mortal Wkly Rep.
2021
;
70
(
31
):
1059
-
1062
.
14.
Juthami
PV
,
Gupta
A
,
Borges
KA
et al
.
Hospitalisation among vaccine breakthrough COVID-19 infections
.
Lancet Infect Dis.
2021
;
21
(
11
):
1485
-
1486
.
15.
Ljungman
P
,
Nahi
H
,
Linde
A
.
Vaccination of patients with haematological malignancies with one or two doses of influenza vaccine: a randomised study
.
Br J Haematol.
2005
;
130
(
1
):
96
-
98
.
16.
Cordonnier
C
,
Mikulska
M
,
Einarsdottir
S
,
Cesaro
S
,
Ljungman
P
;
ECIL vaccine group
.
2017 ECIL 7 vaccine guidelines
.
Lancet Infect Dis.
2019
;
19
(
7
):
694
-
695
.
17.
Greenberger
LM
,
Saltzman
LA
,
Senefeld
JW
,
Johnson
PW
,
DeGennaro
LJ
,
Nichols
GL
.
Antibody response to SARS-CoV-2 vaccines in patients with hematologic malignancies
.
Cancer Cell.
2021
;
39
(
8
):
1031
-
1033
.
18.
Herishanu
Y
,
Avivi
I
,
Aharon
A
, et al
.
Efficacy of the BNT162b2 mRNA COVID-19 vaccine in patients with chronic lymphocytic leukemia
.
Blood.
2021
;
137
(
23
):
3165
-
3173
.
19.
Pimpinelli
F
,
Marchesi
F
,
Piaggio
G
, et al
.
Fifth-week immunogenicity and safety of anti-SARS-CoV-2 BNT162b2 vaccine in patients with multiple myeloma and myeloproliferative malignancies on active treatment: preliminary data from a single institution
.
J Hematol Oncol.
2021
;
14
(
1
):
81
.
20.
Herzog Tzarfati
K
,
Gutwein
O
,
Apel
A
, et al
.
BNT162b2 COVID-19 vaccine is significantly less effective in patients with hematologic malignancies
.
Am J Hematol.
2021
;
96
(
10
):
1195
-
1203
.
21.
Lim
SH
,
Campbell
N
,
Johnson
M
, et al
.
Antibody responses after SARS-CoV-2 vaccination in patients with lymphoma
.
Lancet Haematol.
2021
;
8
(
8
):
e542
-
e544
.
22.
Parry
H
,
McIlroy
G
,
Bruton
R
, et al
.
Antibody responses after first and second Covid-19 vaccination in patients with chronic lymphocytic leukaemia
.
Blood Cancer J.
2021
;
11
(
7
):
136
.
23.
Terpos
E
,
Gavriatopoulou
M
,
Ntanasis-Stathopoulos
I
, et al
.
The neutralizing antibody response post COVID-19 vaccination in patients with myeloma is highly dependent on the type of anti-myeloma treatment
.
Blood Cancer J.
2021
;
11
(
8
):
138
.
24.
Tenforde
MW
,
Patel
MM
,
Ginde
AA
, et al;
Influenza and Other Viruses in the Acutely Ill (IVY) Network
.
Effectiveness of SARS-CoV-2 mRNA vaccines for preventing Covid-19 hospitalizations in the United States [published online ahead of print 6 August 2021].
Clin Infect Dis.
doi:.
25.
Griffin
JB
,
Haddix
M
,
Danza
P
, et al
.
SARS-CoV-2 infections and hospitalizations among persons aged ≥16 years, by vaccination status - Los Angeles County, California, May 1-July 25, 2021
.
MMWR Morb Mortal Wkly Rep.
2021
;
70
(
34
):
1170
-
1176
.

Author notes

*

L.P., J.S.-G., and F.M. are joint first authors.

Supplemental data

Sign in via your Institution