Next Article in Journal
The Interplay of Dyslipidemia, Oxidative Stress, and Clinical Outcomes in Acute Ischemic Stroke Patients with and without Coronary Artery Disease
Next Article in Special Issue
Could Children’s Myopization Have Been Avoided during the Pandemic Confinement? The Conjunctival Ultraviolet Autofluorescence (CUVAF) Biomarker as an Answer
Previous Article in Journal
Detection of PTCH1 Copy-Number Variants in Mosaic Basal Cell Nevus Syndrome
Previous Article in Special Issue
Using HScore for Evaluation of Hemophagocytosis in Multisystem Inflammatory Syndrome Associated with COVID-19 in Children
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomedicines
Volume 12
Issue 2
10.3390/biomedicines12020331
biomedicines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Treatment-Related Risk Factors for Adverse Outcomes of COVID-19 in Patients Treated for Lymphoid Malignancies in the Pre-Omicron Era—A Study of KroHem, the Croatian Group for Hematologic Diseases

by
Igor Aurer
1,2,*,
Ozren Jakšić
2,3,
Sandra Bašić-Kinda
1,
Stefan Mrđenović
4,5,
Slobodanka Ostojić-Kolonić
2,6,
Dominik Lozić
7,
Hrvoje Holik
8,
Sabina Novaković-Coha
9,
Petra Berneš
10,
Ivan Krečak
11,12,
Martina Morić-Perić
13,
Marino Narančić
13,
Zdravko Mitrović
2,3 and
Toni Valković
12,14
1
University Hospital Centre Zagreb, Kišpatićeva 12, 10000 Zagreb, Croatia
2
School of Medicine, University of Zagreb, Šalata 3, 10000 Zagreb, Croatia
3
University Hospital Dubrava, Av. G. Šuška 6, 10000 Zagreb, Croatia
4
University Hospital Centre Osijek, J. Huttlera 4, 31000 Osijek, Croatia
5
Medical School, University of Osijek, J. Huttlera 4, 31000 Osijek, Croatia
6
University Hospital Merkur, Zajčeva 19, 10000 Zagreb, Croatia
7
University Hospital Centre Split, Spinčićeva 1, 21000 Split, Croatia
8
General Hospital Dr. Josip Benčević, A. Štampara 42, 35000 Slavonski Brod, Croatia
9
University Hospital Centre Sisters of Mercy, Vinogradska c. 29, 10000 Zagreb, Croatia
10
General Hospital Pula, Santoriova ul. 24a, 52100 Pula, Croatia
11
General Hospital Šibenik, S. Radića 83, 22000 Šibenik, Croatia
12
Faculty of Medicine, University of Rijeka, Braće Branchetta 20, 51000 Rijeka, Croatia
13
General Hospital Zadar, B. Peričića 5, 23000 Zadar, Croatia
14
University Hospital Centre Rijeka, Krešimirova 42, 51000 Rijeka, Croatia
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Author to whom correspondence should be addressed.
Biomedicines 2024, 12(2), 331; https://doi.org/10.3390/biomedicines12020331
Submission received: 14 January 2024 / Revised: 26 January 2024 / Accepted: 30 January 2024 / Published: 31 January 2024
(This article belongs to the Special Issue The End of the COVID-19 Pandemic—What Is Currently Known and What Could Have Been Useful Four Years Ago?)
Browse Figures
Versions Notes

Abstract

:
Patients with lymphoid malignancies are at increased risk of death or prolonged infection due to COVID-19. Data on the influence of different antineoplastic treatment modalities on outcomes are conflicting. Anti-CD20 monoclonal antibodies increase the risk of prolonged infection. It is unclear whether this risk is affected by the choice of the antibody (rituximab vs. obinutuzumab). To elucidate the role of antineoplastic therapy on COVID-19 outcomes, KroHem collected data on patients with lymphoid malignancies diagnosed with COVID-19 between October 2020 and April 2021. A total of 314 patients were identified, 75 untreated, 61 off treatment and 178 on treatment. The mortality rate in untreated and off-treatment patients was 15% and 16%; 9% and 10% had prolonged infection. In the on-treatment group, 3% were still prolonged positive at time of data collection, 62% recovered and 35% died; 42% had prolonged infection. Disease type, use of anti-CD20 monoclonal antibodies, prior autologous stem-cell transplantation (ASCT) and line of treatment did not significantly affect mortality. Mortality was higher in older patients (p = 0.0078) and those treated with purine analogues (p = 0.012). Prolonged COVID-19 was significantly more frequent in patients treated with anti-CD20 monoclonal antibodies (p = 0.012), especially obinutuzumab, and purine analogues (p = 0.012). Age, prior ASCT and treatment line did not significantly affect risk of prolonged infection. These data suggest that increased age and use of purine analogues are main risk factors for increased mortality of COVID-19 in patients with lymphoid malignancies. Obinutuzumab further increases the risk of prolonged disease, but not of death, in comparison to rituximab. Epidemiological considerations should be taken into account when choosing the appropriate antineoplastic therapy for patients with lymphoid malignancies.

1. Introduction

Lymphoid malignancies are a number of different entities with very variable clinical presentation, biology, response to therapy and prognosis, comprising one of the ten most frequent cancer types everywhere in the world [1]. While classifications of lymphoid neoplasms regularly change, basically they can be divided into B-cell malignancies, T/NK-cell malignancies and Hodgkin lymphomas. B-cell malignancies and T/NK cell malignancies can further present as either indolent or aggressive neoplastic diseases. These factors influence prognosis and therapeutic options. Indolent neoplasms do not need treatment until they show signs of progression or cause symptoms. Front-line therapy of lymphomas usually consists of standard-dose chemotherapy, combined with anti-CD20 monoclonal antibodies in the case of B-cell malignancies. Salvage therapy of aggressive lymphomas usually comprises the use of high-dose chemotherapy, with or without anti-CD20 monoclonal antibodies, and autologous stem-cell transplantation in responding patients.
In the early phases of the COVID-19 pandemic, the clinical course of the infection was severe and the mortality was high. A number of risk factors were identified resulting in more severe disease and dire outcomes, mainly related to age and metabolic disturbances [2]. Patients with lymphoid malignancies were a group with one of the highest mortality rates and frequency of prolonged infection [3,4,5]. This is considered to be a consequence of both underlying disease biology and treatment. B-cell depletion caused by unconjugated anti-CD20 monoclonal antibodies was soon identified as an important risk factor for the prolongation of the infection [6,7], but data on their effect on infection lethality are conflicting. Some studies suggested that anti-CD20 monoclonal antibodies also increase mortality [6,8], while some did not [9,10,11,12,13]. With two exceptions [9,14], all studies suggested that patients on treatment have inferior outcomes than those who did not start or finished therapy more than three to six months ago. However, few of the published studies examined in detail the effect of specific antineoplastic therapies, such as different cytotoxic agents and/or targeted drugs.
Purine analogues: fludarabine, bendamustine and cladribine were widely used at the onset of the pandemic in the treatment of chronic lymphocytic leukemia, indolent B-cell non-Hodgkin lymphomas and mantle-cell lymphoma [15,16]. In these disease types, they are more effective than alternative chemotherapeutic options but result in prolonged T- and B-cell lymphodepletion and increase the risk of late infections after end of treatment [17,18].
Two types of unconjugated anti-CD20 monoclonal antibodies are currently used for treatment of B-cell malignancies: rituximab and obinutuzumab. The latter has increased antibody-dependent cellular cytotoxicity (ADCC) and reduced complement-dependent cytotoxicity (CDC) in comparison with the former and results in faster, deeper and longer B-cell depletion albeit coupled with more hematological toxicity [19]. Obinutuzumab has been shown to be more effective than rituximab in follicular lymphoma and chronic lymphocytic leukemia, but not in non-follicular indolent non-Hodgkin lymphomas and aggressive B-cell lymphomas [20,21,22]. The published data comparing outcomes of patients treated with different anti-CD20 monoclonal antibodies who developed COVID-19 is very limited. A single study suggested that patients treated with obinutuzumab have worse outcomes than those treated with rituximab [23].
In order to more precisely describe outcomes of COVID-19 infection in patients with lymphoid malignancies and elucidate prognostic factors, especially the effects of different disease types, types of antineoplastic agents and anti-CD20 monoclonal antibodies on mortality and duration of COVID-19 in patients with mature lymphoid malignancies, KroHem, the Croatian Cooperative Group for Hematologic Diseases collected and analyzed data on outcomes of these patients who became infected in the pre-omicron era.

2. Materials and Methods

This was a retrospective, non-interventional study. Patients were included in the analysis if they were diagnosed with a mature lymphoid neoplasm prior to or at the time of COVID-19 diagnosis. The disease had to be diagnosed by standard criteria. Infection had to start at or before 30 April 2021 and had to be confirmed by a positive reverse transcriptase—polymerase chain reaction test. Duration of the disease was calculated from the date of symptom start until a negative polymerase chain reaction test or at least 2 weeks without symptoms. Data lock was in June 2021.
For the purpose of this analysis, lymphoid malignancies were grouped into: (1) indolent non-Hodgkin lymphomas, including follicular lymphoma, marginal zone lymphoma, lymphoplasmocytoid lymphoma and hairy-cell leukemia; (2) chronic lymphocytic leukemia; (3) mantle-cell lymphoma; (4) aggressive B-cell non-Hodgkin lymphomas, including B-large cell lymphomas, Burkitt lymphoma, and high-grade lymphomas; (5) Hodgkin lymphomas; (6) aggressive T-cell lymphomas, including peripheral T-cell lymphomas, anaplastic large T/NK-cell lymphomas and T-prolymphocytic leukemia; and (7) indolent T/NK-cell leukemias of the large granular lymphocyte type. Patients were considered untreated if they have not received any antineoplastic therapy for their lymphoid malignancy prior to infection start, on treatment if the period between last administration of therapy and infection was 3 months or less, and off treatment if that period was longer than 3 months. Antineoplastic regimens were grouped into (1) allogeneic stem cell transplantation and CAR-T cell (chimeric antigen T-cell) therapies; (2) purine analogues, including fludarabine, bendamustine and cladribine, alone or in combination with other antineoplastic agents; (3) high-dose chemotherapy (without purine analogues), including regimes such as DHAP (dexamethasone, cytarabine, cisplatin) or ICE (ifosfamide, carboplatin, etoposide); (4) standard-dose chemotherapy (without purine analogues), including CHOEP (cyclophosphamide, doxorubicine, vincristine, etoposide, steroid), DA-EPOCH (dose-adjusted cyclophosphamide, doxorubicine, vincristine, etoposide, steroid), CHOP (cyclophosphamide, doxorubicine, vincristine, steroid), CVP (cyclophosphamide, vincristine, steroid), chlorambucil, and similar; (5) the Bruton tyrosine kinase inhibitor ibrutinib; and (6) venetoclax. Patients were also divided according to whether they received anti-CD20 monoclonal antibodies or not. Those receiving more than one line of therapy prior to infection were grouped according to their last treatment line.
Analyzed outcomes included mortality rate and the frequency of prolonged infection. Death during infection was considered due to COVID-19. Patients were considered to have prolonged infection if they were continuously or repetitively positive by polymerase chain reaction test for more than 6 weeks or failed to clear symptoms for longer than 4 weeks. The percentage of patients with prolonged disease was calculated based on number of patients with available data alive 6 weeks after beginning of infection. A diagram of the study design is shown in Figure 1.
Statistical analysis was performed using freely available programs. Categorical variables were compared using the Fisher’s exact or χ2 test, numerical variables using the Mann–Whitney U test (https://www.socscistatistics.com/tests (accessed at 30 July 2021)) and MANOVA (multivariate analysis of variance) for multivariate analysis (SPSS Statistics, v.15).
This study was conducted according to the guidelines of the Declaration of Helsinki. No personal data were ever divulged. Since this was a retrospective study of anonymized patient data, informed consent was not required.

3. Results

Three hundred and fourteen patients fulfilled entry criteria (Table 1). They were between 20 and 88 years old (median 66), 180 were male and 134 female. A total of 75 were untreated, 61 were off treatment and 178 on treatment.
In the untreated group, 11 (15%) died; 10% had prolonged infection, none of whom died. In the off-treatment group, 10 (16%) died; 9% had prolonged infection, none of whom died.
In the on-treatment group, 6 (3%) were still prolonged positive at time of data lock, 110 (62%) recovered and 62 (35%) died; 42% had prolonged infection, of whom 47% recovered, 42% died and 11% were still positive at data lock.
The single allografted and both patients treated with CAR-T cells for B-large cell lymphoma died after prolonged infection. We analyzed prognostic factors for lethal and prolonged infection in the remaining 175 conventionally treated patients. Thirty-five of them received antineoplastic therapy without anti-CD20 monoclonal antibodies, 116 were treated with rituximab and 24 with obinutuzumab.
The differences in outcomes related to disease type failed to reach statistical significance (Table 2). None of the two patients with T/NK-cell large granular lymphocyte leukemia died or had prolonged infection. One of seven patients with Hodgkin lymphomas died, none had prolonged infection. These two groups seemed to have best outcomes. Conversely, patients with mantle-cell lymphoma seemed to have worst outcomes with a mortality rate of 55% and prolonged infection rate of 77%. The rate of prolonged COVID-19, but not mortality, seemed lower in patients with aggressive T-cell lymphomas than in other disease subtypes.
Age was significantly related to infection lethality (Table 3). Mortality in the oldest tercile (patients older than 70 years of age) was more than double in comparison to the youngest tercile (patients younger than 60 years of age) (43% vs. 19%). In contrast, age had no influence on the risk of prolonged infection.
Regarding treatment type, seven patients with indolent B-cell non-Hodgkin lymphomas and T/NK-cell large granular lymphocyte leukemia were treated with rituximab monotherapy, vemurafenib or cyclosporine without chemotherapy, ibrutinib or venetoclax. None of them died and none had prolonged infection. Patients treated with purine analogues had significantly higher mortality rates in comparison to those treated with standard-dose chemotherapy or ibrutinib (47% vs. 27% vs. 25%, p = 0.012). Infection lethality in those treated with high-dose chemotherapy (38%) and venetoclax (40%) was intermediate (Figure 2). Mortality of patients treated with and without anti-CD20 monoclonal antibodies was similar (Figure 3). Lethal COVID-19 occurred in 29% of patients treated without anti-CD20 monoclonal antibodies, 36% of those treated with rituximab and 29% treated with obinutuzumab (p = 0.55). Prolonged infection was more frequent in patients treated with purine analogues (69% vs. 28%, p = 0.004) (Figure 4) or anti-CD20 monoclonal antibodies (21%, in patients treated without anti-CD20 monoclonal antibodies, 42% in those treated with rituximab 42%, and 67% in those treated with obinutuzumab; p = 0.012) (Figure 5). Duration of infection was significantly longer in patients treated with obinutuzumab than in those treated with rituximab (Figure 6). The effects of treatment type were independent of age.
Number of cycles or duration of treatment were not significantly related to mortality or risk of prolonged infection. Patients on maintenance therapy with anti-CD20 monoclonal antibodies after immunochemotherapy induction had outcomes similar to those of patients who developed COVID-19 during induction. Gender, number of treatment lines, previous autologous stem cell transplantation and use of antiviral therapy did not significantly affect neither mortality nor the rate of prolonged infection.

4. Discussion

Patients included in our series were treated during the early phases of the COVID-19 pandemic characterized by viral strains causing severe disease in immunocompetent and even more so in severely immunocompromised hosts. At that time, adequately controlled studies of antiviral therapy did not exist, recommendations on their use were frequently contradictory, and the only available antiviral agent, introduced only during the duration of our study, was remdesivir [24]. In many centers, this drug was administered only in patients who developed severe COVID-19 or not used at all. The same was true for convalescent fresh-frozen plasma. This probably explains why there was no consistent effect of antiviral therapy on outcomes. Vaccination against COVID-19 started in Croatia in December 2020, and most patients received the second dose in the beginning of 2021. Since the majority of patients on treatment for lymphoid neoplasms fail to raise adequate humoral responses [25,26,27,28,29], it seems reasonable to conclude that almost all of the analyzed patients were unprotected against the infection. All of this explains the high mortality rate, different from the current situation, but similar to that of other contemporary series [3,4].
The results presented in this paper are in accordance with the generally accepted attitude that patients with lymphoid neoplasms are more sensitive to COVID-19 than the general population, even before they start antineoplastic therapy. The mortality rate in previously untreated patients was 15%, which is significantly higher than the 2.2% in the general Croatian population at that time [30,31]. The same is true for the tendency to develop prolonged infection (10% vs. <0.1%). This sensitivity is significantly increased by antineoplastic therapy, resulting in an increase in mortality to 35% and frequency of prolonged infection to 42%.
In accordance with other series, the mortality was highest in the very small group of patients becoming infected within 3 months from receiving an allogeneic stem cell transplant or CAR-T cell therapy, during the period in which their immune system has still not began to recover from procedure-related damage [32,33,34].
However, the results of this analysis suggest that different conventional antineoplastic therapy options confer substantial differences in sensitivity to COVID-19. Patients treated with purine analogues had the highest mortality rate followed by high-dose chemotherapy, standard-dose chemotherapy and ibrutinib. The number of patients receiving venetoclax was too small to draw meaningful conclusions. Purine analogues were also the only type of chemotherapy that increased the risk of prolonged COVID-19. The addition of anti-CD20 monoclonal antibodies to chemotherapy did not increase mortality over that of chemotherapy alone, but prolonged the duration of chemotherapy-induced sensitivity to COVID-19 (as witnessed by the fact that patients who developed COVID-19 during maintenance did not have better outcomes than those who developed the infection during induction) and significantly increased the risk of prolonged infection. Since, of all the chemotherapy options, purine analogues have the strongest and longest lymphodepleting effect on both B and T cells, these data support the hypothesis that the outcome of infection is primarily dependent on host T-cell function and the duration of infection on B-cell function [7,35].
The results of this study are not completely consistent with those of other published studies, but very few of them examined in detail effects of different types of chemotherapy. Those that did, did find signs of detrimental effects of, e.g., immunochemotherapy in patients with chronic lymphocytic leukemia (which at that time was mostly based on purine analogues) [12] and use of bendamustine in patients with lymphoma [9]. The single study reporting differences in outcome between rituximab and obinutuzumab was smaller than ours, conducted in a different time-point, i.e., in a period when the omicron strain became most prevalent, and did not try to separate the effects of anti-CD20 monoclonal antibodies from those of chemotherapy [23].
In our analysis, patients were considered to be on treatment if the interval between the last application of antineoplastic therapy and start of infection was three months or less. This period is somewhat arbitrary and has been chosen to replicate other similar studies. The data collected and available for analysis were insufficient to ascertain whether the increased sensitivity to COVID-19 lasts 3, 6 or 12 months after the end of antineoplastic therapy. However, it seems that within this timeframe, the sensitivity to COVID-19 diminishes to a level similar to that of untreated patients, both in terms of mortality and risk of prolonged infection.
As in all other published studies, age was the most important unmodifiable risk factor for mortality. Mantle-cell lymphoma is a lymphoma type preferentially affecting elderly men and is treated with anti-CD20 monoclonal antibodies and purine analogue-containing chemotherapy, which probably explains the fact that this disease type had worst outcomes of all, both related to mortality and frequency of prolonged infection [36].
The differences in outcomes between different disease subtypes failed to reach statistical significance and can be explained by differences in antineoplastic therapy and age. Mortality was less in patients treated without chemotherapy (e.g., T/NK-cell large granular lymphocyte leukemia patients), with less intensive chemotherapy regimens (e.g., patients with indolent B-cell non-Hodgkin lymphomas) or younger (e.g., Hodgkin lymphoma patients). Rates of prolonged infection were lowest in patients treated without purine analogues and anti-CD20 monoclonal antibodies (e.g., those with T/NK-cell large granular lymphocyte leukemias, Hodgkin lymphomas or aggressive T-cell lymphomas).
Despite the change in severity of the infection occurring in the later phase of the pandemic, our data can be interesting also for the present situation. Prolonged COVID-19, which is still a problem, interferes with regular antineoplastic treatment of patients, reducing its efficacy and expected cure and survival rates. Also, the elucidation of prognostic factors might shed additional light into the biology of the infection and host defense mechanisms.
This study has many limitations, mainly related to its design. All participating centers tried to collect data on all consecutive patients, but the possibility remains that some died at home or at other hospitals and were not included in this data set. Other risk factors, such as obesity, diabetes and smoking, could not be analyzed in detail, but they seem to be of lesser importance in patients treated for hematological malignancies. Also, due to the non-randomized retrospective, real-life nature of the data, and relatively small numbers of patients in each category it is impossible to draw firm conclusions on causality. Still, the presented data are interesting and possibly important for making informed clinical decisions on therapy choices but also add to the totality of evidence on biological defense mechanisms against COVID-19.

5. Conclusions

Use of purine analogues, such as bendamustine and fludarabine, should probably be avoided in patients with indolent B-cell non-Hodgkin lymphomas and chronic lymphocytic leukemia, diseases for whom other effective treatments are available, during the COVID-19 pandemic. Anti-CD20 monoclonal antibodies seem to have a smaller effect on mortality than chemotherapy, with obinutuzumab increasing the risk of prolonged disease, but not of death, more than rituximab.

Author Contributions

All authors have approved the submitted version and agree to be personally accountable for their contributions and for ensuring that questions related to the accuracy or integrity of any part of the work, even ones in which the author was not personally involved, are appropriately investigated, resolved, and documented in the literature. Additional authors’ contributions are as follows: Conceptualization, I.A., O.J., S.B.-K. and T.V.; methodology, I.A., O.J. and S.B.-K.; validation, I.A.; formal analysis, I.A.; investigation and resources, S.B.-K., S.M., S.O.-K., D.L., H.H., S.N.-C., P.B., I.K., M.M.-P., M.N., Z.M. and T.V.; writing—original draft preparation, I.A.; writing—review and editing, S.B.-K., O.J. and T.V.; supervision, I.A., O.J., S.B.-K. and T.V.; project administration, I.A.; funding acquisition, I.A. and T.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding. It was completely financed by internal funds of KroHem, the Croatian Cooperative Group for Hematologic Diseases.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki, and approved by the Ethics Committees of UHC Rijeka (Approval Code 2170-29-02/1-20-2, Approval Date: 13 November 2020).

Informed Consent Statement

Due to the retrospective, non-interventional and anonymized nature of data collection an informed consent waiver was obtained.

Data Availability Statement

Due to the informed consent waiver, any requests for original data should be sent to the corresponding author and must be approved by a Croatian Ethics Committee.

Acknowledgments

Presented in part at the 63rd annual meeting of the American Society of Hematology, Atlanta, GA, USA, 11–14 December 2021.

Conflicts of Interest

I.A., O.J., S.B.-K., D.L., I.K., Z.M. and T.V. received honoraria and/or consultancy fees from Roche, Oktal Pharma/Celtrion, Sandoz and Pfizer; S.M. received honoraria and/or consultation fees from Roche and Sandoz; S.O-K., H.H., S.N.-C., P.B. and M.M.-P. received honoraria and/or consultation fees from Roche, Oktal Pharma/Celtrion and Sandoz; M.N. has no conflicts of interest related to this study.

References

  1. Lamb, M.; Painter, D.; Howell, D.; Barrans, S.; Cargo, C.; de Tute, R.; Tooze, R.; Burton, C.; Patmore, R.; Roman, E.; et al. Lymphoid blood cancers, incidence and survival 2005–2023: A report from the UK’s Haematological Malignancy Research Network. Cancer Epidemiol. 2023, 88, 102513. [Google Scholar] [CrossRef] [PubMed]
  2. Fitero, A.; Bungau, S.G.; Tit, D.M.; Endres, L.; Khan, S.A.; Bungau, A.F.; Romanul, I.; Vesa, C.M.; Radu, A.F.; Georgiana, A.; et al. Comorbidities, associated diseases, and risk assessment in COVID-19—A systematic review. Int. J. Clin. Pract. 2022, 2022, 1571826. [Google Scholar] [CrossRef] [PubMed]
  3. Vijenthira, A.; Gong, I.Y.; Fox, T.A.; Booth, S.; Cook, G.; Fattizzo, B.; Martín-Moro, F.; Razanamahery, J.; Riches, J.C.; Zwicker, J.; et al. Outcomes of patients with hematologic malignancies and COVID-19: A systematic review and meta-analysis of 3377 patients. Blood 2020, 136, 2881–2892. [Google Scholar] [CrossRef] [PubMed]
  4. Pagano, L.; Salmanton-García, J.; Marchesi, F.; Busca, A.; Corradini, P.; Hoenigl, M.; Klimko, N.; Koehler, P.; Pagliuca, A.; Passamonti, F.; et al. COVID-19 infection in adult patients with hematological malignancies: A European Hematology Association Survey (EPICOVIDEHA). J. Hematol. Oncol. 2021, 14, 168. [Google Scholar] [CrossRef]
  5. Arcani, R.; Colle, J.; Cauchois, R.; Koubi, M.; Jarrot, P.A.; Jean, R.; Boyer, A.; Lachamp, J.; Tichadou, A.; Couderc, A.L.; et al. Clinical characteristics and outcomes of patients with haematologic malignancies and COVID-19 suggest that prolonged SARS-CoV-2 carriage is an important issue. Ann. Hematol. 2021, 100, 2799–2803. [Google Scholar] [CrossRef]
  6. Duléry, R.; Lamure, S.; Delord, M.; Di Blasi, R.; Chauchet, A.; Hueso, T.; Rossi, C.; Drenou, B.; Deau Fischer, B.; Soussain, C.; et al. Prolonged in-hospital stay and higher mortality after COVID-19 among patients with non-Hodgkin lymphoma treated with B-cell depleting immunotherapy. Am. J. Hematol. 2021, 96, 934–944. [Google Scholar] [CrossRef] [PubMed]
  7. Gaitzsch, E.; Passerini, V.; Khatamzas, E.; Strobl, C.D.; Muenchhoff, M.; Scherer, C.; Osterman, A.; Heide, M.; Reischer, A.; Subklewe, M.; et al. COVID-19 in patients receiving CD20-depleting immunochemotherapy for B-cell lymphoma. HemaSphere 2021, 5, e603. [Google Scholar] [CrossRef] [PubMed]
  8. Calderón-Parra, J.; Múñez-Rubio, E.; Fernández-Cruz, A.; García-Sánchez, M.C.; Maderuelo-González, E.; López-Dosil, M.; Calvo-Salvador, M.; Baños-Pérez, I.; Valle-Falcones, M.; Ramos-Martínez, A. Incidence, clinical presentation, relapses and outcome of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection in patients treated with anti-CD20 monoclonal antibodies. Clin. Infect. Dis. 2022, 74, 1786–1794. [Google Scholar] [CrossRef]
  9. Visco, C.; Marcheselli, L.; Mina, R.; Sassone, M.; Guidetti, A.; Penna, D.; Cattaneo, C.; Bonuomo, V.; Busca, A.; Ferreri, A.J.M.; et al. A prognostic model for patients with lymphoma and COVID-19: A multicentre cohort study. Blood Adv. 2022, 6, 327–338. [Google Scholar] [CrossRef]
  10. Chatzikonstantinou, T.; Kapetanakis, A.; Scarfò, L.; Karakatsoulis, G.; Allsup, D.; Cabrero, A.A.; Andres, M.; Antić, D.; Baile, M.; Baliakas, P.; et al. COVID-19 severity and mortality in patients with CLL: An update of the international ERIC and Campus CLL study. Leukemia 2021, 35, 3444–3454. [Google Scholar] [CrossRef]
  11. Roeker, L.E.; Eyre, T.A.; Thompson, M.C.; Lamanna, N.; Coltoff, A.R.; Davids, M.S.; Baker, P.O.; Leslie, L.; Rogers, K.A.; Allan, J.N.; et al. COVID-19 in patients with CLL: Improved survival outcomes and update on management strategies. Blood 2021, 138, 1768–1773. [Google Scholar] [CrossRef] [PubMed]
  12. Booth, S.; Curley, H.M.; Varnai, C.; Arnold, R.; Lee, L.Y.W.; Campton, N.A.; Cook, G.; Purshouse, K.; Aries, J.; Innes, A.; et al. Key findings from the UKCCMP cohort of 877 patients with haematological malignancy and COVID-19: Disease control as an important factor relative to recent chemotherapy or anti-CD20 therapy. Br. J. Haematol. 2022, 196, 892–901. [Google Scholar] [CrossRef]
  13. Basquiera, A.L.; García, M.J.; Martinez Rolón, J.; Olmedo, J.; Laviano, J.; Burgos, R.; Caeiro, G.; Remaggi, G.; Raña, P.; Paoletti, M.; et al. Clinical characteristics and evolution of hematological patients and COVID-19 in Argentina: A report from the Argentine Society of Hematology. Medicina 2021, 81, 536–545. [Google Scholar]
  14. Regalado-Artamendi, I.; Jiménez-Ubietom, A.; Hernández-Rivas, J.A.; Navarro, B.; Núñez, L.; Alaez, C.; Córdoba, R.; Peñalver, F.J.; Cannata, J. Risk factors and mortality of COVID-19 in patients with lymphoma: A multicenter study. HemaSphere 2021, 5, e538. [Google Scholar] [CrossRef]
  15. Eichhorst, B.; Fink, A.M.; Bahlo, J.; Busch, R.; Kovacs, G.; Maurer, C.; Lange, E.; Köppler, H.; Kiehl, M.; Sökler, M.; et al. First-line chemoimmunotherapy with bendamustine and rituximab versus fludarabine, cyclophosphamide, and rituximab in patients with advanced chronic lymphocytic leukaemia (CLL10): An international, open-label, randomised, phase 3, non-inferiority trial. Lancet Oncol. 2016, 17, 928–942. [Google Scholar] [CrossRef]
  16. Rummel, M.J.; Niederle, N.; Maschmeyer, G.; Banat, G.A.; von Grünhagen, U.; Losem, C.; Kofahl-Krause, D.; Heil, G.; Welslau, M.; Balser, C.; et al. Bendamustine plus rituximab versus CHOP plus rituximab as first-line treatment for patients with indolent and mantle-cell lymphomas: An open-label, multicentre, randomised, phase 3 non-inferiority trial. Lancet 2013, 381, 1203–1210. [Google Scholar] [CrossRef] [PubMed]
  17. Gafter-Gvili, A.; Polliack, A. Bendamustine associated immune suppression and infections during therapy of hematological malignancies. Leuk. Lymphoma 2016, 57, 512–519. [Google Scholar] [CrossRef] [PubMed]
  18. Lalić, H.; Aurer, I.; Batinić, D.; Višnjić, D.; Smoljo, T.; Babić, A. Bendamustine: A review of pharmacology, clinical use and immunological effects (Review). Oncol. Rep. 2022, 47, 114. [Google Scholar] [CrossRef]
  19. Mössner, E.; Brünker, P.; Moser, S.; Püntener, U.; Schmidt, C.; Herter, S.; Grau, R.; Gerdes, C.; Nopora, A.; van Puijenbroek, E.; et al. Increasing the efficacy of CD20 antibody therapy through the engineering of a new type II anti-CD20 antibody with enhanced direct and immune effector cell-mediated B-cell cytotoxicity. Blood 2010, 115, 4393–4402. [Google Scholar] [CrossRef]
  20. Marcus, R.; Davies, A.; Ando, K.; Klapper, W.; Opat, S.; Owen, C.; Phillips, E.; Sangha, R.; Schlag, R.; Seymour, J.F.; et al. Obinutuzumab for the first-line treatment of follicular lymphoma. N. Engl. J. Med. 2017, 377, 1331–1344. [Google Scholar] [CrossRef]
  21. Goede, V.; Fischer, K.; Busch, R.; Engelke, A.; Eichhorst, B.; Wendtner, C.M.; Chagorova, T.; de la Serna, J.; Dilhuydy, M.S.; Illmer, T.; et al. Obinutuzumab plus chlorambucil in patients with CLL and coexisting conditions. N. Engl. J. Med. 2014, 370, 1101–1110. [Google Scholar] [CrossRef] [PubMed]
  22. Sehn, L.H.; Martelli, M.; Trněný, M.; Liu, W.; Bolen, C.R.; Knapp, A.; Sahin, D.; Sellam, G.; Vitolo, U. A randomized, open-label, Phase III study of obinutuzumab or rituximab plus CHOP in patients with previously untreated diffuse large B-Cell lymphoma: Final analysis of GOYA. J. Hematol. Oncol. 2020, 13, 71. [Google Scholar] [CrossRef]
  23. Shafat, T.; Grupel, D.; Porges, T.; Levi, I.; Yagel, Y.; Nesher, L. Treatment with obinutuzumab leads to worse outcomes in haematological patients diagnosed with Omicron variant COVID-19. Br. J. Haematol. 2022, 198, 826–829. [Google Scholar] [CrossRef] [PubMed]
  24. Negru, P.A.; Radu, A.F.; Vesa, C.M.; Behl, T.; Abdel-Daim, M.M.; Nechifor, A.C.; Endres, L.; Stoicescu, M.; Pasca, B.; Tit, D.M.; et al. Therapeutic dilemmas in addressing SARS-CoV-2 infection: Favipiravir versus remdesivir. Biomed. Pharmacother. 2022, 147, 112700. [Google Scholar] [CrossRef]
  25. Noori, M.; Azizi, S.; Varaki, F.A.; Nejadghaderi, S.A.; Bashash, D. A systematic review and meta-analysis of immune response against first and second doses of SARS-CoV-2 vaccines in adult patients with hematological malignancies. Int. Immunopharmacol. 2022, 110, 109046. [Google Scholar] [CrossRef] [PubMed]
  26. Gavriatopoulou, M.; Terpos, E.; Kastritis, E.; Briasoulis, A.; Gumeni, S.; Ntanasis-Stathopoulos, I.; Sklirou, A.D.; Malandrakis, P.; Eleutherakis-Papaiakovou, E.; Migkou, M.; et al. Low neutralizing antibody responses in WM, CLL and NHL patients after the first dose of the BNT162b2 and AZD1222 vaccine. Clin. Exp. Med. 2022, 22, 319–332. [Google Scholar] [CrossRef]
  27. Ghione, P.; Gu, J.J.; Attwood, K.; Torka, P.; Goel, S.; Sundaram, S.; Mavis, C.; Johnson, M.; Thomas, R.; McWhite, K.; et al. Impaired humoral responses to COVID-19 vaccination in patients with lymphoma receiving B-cell–directed therapies. Blood 2021, 138, 811–814. [Google Scholar] [CrossRef]
  28. Greenberger, L.M.; Saltzman, L.A.; Senefeld, J.W.; Johnson, P.W.; Degennaro, L.J.; Nichols, G.L. Antibody response to SARS-CoV-2 vaccines in patients with hematologic malignancies. Cancer Cell 2021, 39, 1031–1033. [Google Scholar] [CrossRef]
  29. Sertić, Z.; Lucijanić, M.; Bašić-Kinda, S.; Serventi Seiwerth, R.; Periša, V.; Sertić, D.; Coha, B.; Pulanić, D.; Perić, Z.; Desnica, L.; et al. Non-myelofibrosis chronic myeloproliferative neoplasm patients show better seroconversion rates after SARS-CoV-2 vaccination compared to other hematologic diseases: A multicentric prospective study of KroHem. Biomedicines 2022, 10, 2892. [Google Scholar] [CrossRef]
  30. Šimetin, P.; Svajda, M.; Ivanko, P.; Dimnjaković, J.; Belavić, A.; Ištvanović, A.; Poljičanin, T. COVID-19 incidence, hospitalizations and mortality trends in Croatia and school closure. Public Health 2021, 198, 164–170. [Google Scholar] [CrossRef]
  31. Sobczak, M.; Pawliczak, R. COVID-19 mortality rate determinants in selected Eastern European countries. BMC Public Health 2022, 22, 2088. [Google Scholar] [CrossRef] [PubMed]
  32. Spanjaart, A.M.; Ljungman, P.; de La Camara, R.; Tridello, G.; Ortiz-Maldonado, V.; Urbano-Ispizua, A.; Barba, P.; Kwon, M.; Caballero, D.; Sesques, P.; et al. Poor outcome of patients with COVID-19 after CAR T-cell therapy for B-cell malignancies: Results of a multicenter study on behalf of the European Society for Blood and Marrow Transplantation (EBMT) Infectious Diseases Working Party and the European Hematology Association (EHA) Lymphoma Group. Leukemia 2021, 35, 3585–3588. [Google Scholar] [PubMed]
  33. Sharma, A.; Bhatt, N.S.; St Martin, A.; Abid, M.B.; Bloomquist, J.; Chemaly, R.F.; Dandoy, C.; Gauthier, J.; Gowda, L.; Perales, M.A.; et al. Clinical characteristics and outcomes of COVID-19 in haematopoietic stem-cell transplantation recipients: An observational cohort study. Lancet Haematol. 2021, 8, e185–e193. [Google Scholar] [CrossRef] [PubMed]
  34. Mushtaq, M.U.; Shahzad, M.; Chaudhary, S.G.; Luder, M.; Ahmed, N.; Abdelhakim, H.; Bansal, R.; Balusu, R.; DeJarnette, S.; Divine, C.; et al. Impact of SARS-CoV-2 in hematopoietic stem cell transplantation and chimeric antigen receptor T cell therapy recipients. Transplant. Cell Ther. 2021, 27, 796.e1–796.e7. [Google Scholar] [CrossRef]
  35. Bange, E.M.; Han, N.A.; Wileyto, P.; Kim, J.Y.; Gouma, S.; Robinson, J.; Greenplate, A.R.; Hwee, M.A.; Porterfield, F.; Owoyemi, O.; et al. CD8+ T cells contribute to survival in patients with COVID-19 and hematologic cancer. Nat. Med. 2021, 27, 1280–1289. [Google Scholar] [CrossRef]
  36. Tilch, M.K.; Visco, C.; Kinda, S.; Hermine, O.; Kohn, M.; Besson, C.; Lamure, S.; Duléry, R.; Ragaini, S.; Eyre, T.A.; et al. Outcome of COVID-19 in patients with mantle cell lymphoma-report from the European MCL registry. HemaSphere 2022, 6, e0711. [Google Scholar] [CrossRef]
Biomedicines 12 00331 g001
Figure 1. Study diagram. iNHL = indolent B-cell non-Hodgkin lymphomas; FL = follicular lymphoma; MZL = marginal zone lymphoma; LPL = lymphoplasmocytoid lymphoma; HCL = hairy-cell leukemia; CLL = chronic lymphocytic leukemija; MCL = mantle-cell lymphoma; aNHL = aggressive B-cell lymphomas, B-LCL = B-large cell lymphomas; BL = Burkitt lymphoma; HG-B-NHL = high-grade B-cell non-Hodgkin lymphomas; HL = Hodgkin lymphomas; T-NHL = aggressive T-cell lymphoma; PTCL = peripheral T-cell lymphomas; ALCL = T/NK anaplastic large cell lymphoma; T-PLL = T-cell prolymphocytic leukemia; T-LGL = T/NK cell large granular lymphocyte leukemia; CAR-T = chimeric antigen T-cell; alloSCT = allogeneic stem cell transplantation; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; MoAb = anti-CD20 monoclonal antibody; ASCT = autologous stem cell transplantation.
Figure 1. Study diagram. iNHL = indolent B-cell non-Hodgkin lymphomas; FL = follicular lymphoma; MZL = marginal zone lymphoma; LPL = lymphoplasmocytoid lymphoma; HCL = hairy-cell leukemia; CLL = chronic lymphocytic leukemija; MCL = mantle-cell lymphoma; aNHL = aggressive B-cell lymphomas, B-LCL = B-large cell lymphomas; BL = Burkitt lymphoma; HG-B-NHL = high-grade B-cell non-Hodgkin lymphomas; HL = Hodgkin lymphomas; T-NHL = aggressive T-cell lymphoma; PTCL = peripheral T-cell lymphomas; ALCL = T/NK anaplastic large cell lymphoma; T-PLL = T-cell prolymphocytic leukemia; T-LGL = T/NK cell large granular lymphocyte leukemia; CAR-T = chimeric antigen T-cell; alloSCT = allogeneic stem cell transplantation; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; MoAb = anti-CD20 monoclonal antibody; ASCT = autologous stem cell transplantation.
Biomedicines 12 00331 g001
Biomedicines 12 00331 g002
Figure 2. Mortality according to type of antineoplastic treatment. Numbers in bars indicate the number of patients. CT = chemotherapy; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; I = ibrutinib; V = venetoclax.
Figure 2. Mortality according to type of antineoplastic treatment. Numbers in bars indicate the number of patients. CT = chemotherapy; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; I = ibrutinib; V = venetoclax.
Biomedicines 12 00331 g002
Biomedicines 12 00331 g003
Figure 3. Mortality according to the use of anti-CD20 monoclonal antibodies (MoAb). Numbers in bars indicate the number of patients. R = rituximab; G = obinutuzumab.
Figure 3. Mortality according to the use of anti-CD20 monoclonal antibodies (MoAb). Numbers in bars indicate the number of patients. R = rituximab; G = obinutuzumab.
Biomedicines 12 00331 g003
Biomedicines 12 00331 g004
Figure 4. Risk of prolonged COVID-19 according to antineoplastic treatment. CT = chemotherapy; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; I = ibrutinib; V = venetoclax.
Figure 4. Risk of prolonged COVID-19 according to antineoplastic treatment. CT = chemotherapy; PA = purine analogues; HD-CT = high-dose chemotherapy; SD-CT = standard-dose chemotherapy; I = ibrutinib; V = venetoclax.
Biomedicines 12 00331 g004
Biomedicines 12 00331 g005
Figure 5. Risk of prolonged COVID-19 according to the use of anti-CD20 monoclonal antibodies (MoAb). R = rituximab; G = obinutuzumab.
Figure 5. Risk of prolonged COVID-19 according to the use of anti-CD20 monoclonal antibodies (MoAb). R = rituximab; G = obinutuzumab.
Biomedicines 12 00331 g005
Biomedicines 12 00331 g006
Figure 6. Infection duration in patients treated with rituximab and obinutuzumab.
Figure 6. Infection duration in patients treated with rituximab and obinutuzumab.
Biomedicines 12 00331 g006
Table 1. Number of patients according to disease type.
Table 1. Number of patients according to disease type.
Disease TypeiNHLCLLaNHLMCLLGLT-NHLHLTotal
Untreated (no.)174410110275
Off treatment (no.)1319150021261
On treatment (no.)573941222107178
iNHL = indolent B-cell lymphoma; CLL = chronic lymphocytic leukemia; aNHL = aggressive B-cell lymphoma; LGL = indolent T/NK cell leukemia; T-NHL = aggressive T-cell leukemia/lymphoma; HL = Hodgkin lymphomas.
Table 2. Outcome of patients on treatment according to disease type.
Table 2. Outcome of patients on treatment according to disease type.
Disease TypeiNHLCLLaNHLMCLLGLT-NHLHLTotalp Value
No.573941222107178
Mortality26%36%41% *55%030%14%35% *0.217
Prolonged infection44%39%36% *77%013%042% *0.051
iNHL = indolent B-cell lymphoma; CLL = chronic lymphocytic leukemia; aNHL = aggressive B-cell lymphoma; LGL = indolent T/NK cell leukemia; T-NHL = aggressive T-cell leukemia/lymphoma; HL = Hodgkin lymphomas. * including one allografted and two patients treated with CAR-T cells.
Table 3. Outcome of patients on treatment according to age.
Table 3. Outcome of patients on treatment according to age.
Age (Years)<6060–69>70p Value
No.575958
Mortality19%39%43%0.008
Prolonged infection40%46%38%0.562
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Aurer, I.; Jakšić, O.; Bašić-Kinda, S.; Mrđenović, S.; Ostojić-Kolonić, S.; Lozić, D.; Holik, H.; Novaković-Coha, S.; Berneš, P.; Krečak, I.; et al. Treatment-Related Risk Factors for Adverse Outcomes of COVID-19 in Patients Treated for Lymphoid Malignancies in the Pre-Omicron Era—A Study of KroHem, the Croatian Group for Hematologic Diseases. Biomedicines 2024, 12, 331. https://doi.org/10.3390/biomedicines12020331

AMA Style

Aurer I, Jakšić O, Bašić-Kinda S, Mrđenović S, Ostojić-Kolonić S, Lozić D, Holik H, Novaković-Coha S, Berneš P, Krečak I, et al. Treatment-Related Risk Factors for Adverse Outcomes of COVID-19 in Patients Treated for Lymphoid Malignancies in the Pre-Omicron Era—A Study of KroHem, the Croatian Group for Hematologic Diseases. Biomedicines. 2024; 12(2):331. https://doi.org/10.3390/biomedicines12020331

Chicago/Turabian Style

Aurer, Igor, Ozren Jakšić, Sandra Bašić-Kinda, Stefan Mrđenović, Slobodanka Ostojić-Kolonić, Dominik Lozić, Hrvoje Holik, Sabina Novaković-Coha, Petra Berneš, Ivan Krečak, and et al. 2024. "Treatment-Related Risk Factors for Adverse Outcomes of COVID-19 in Patients Treated for Lymphoid Malignancies in the Pre-Omicron Era—A Study of KroHem, the Croatian Group for Hematologic Diseases" Biomedicines 12, no. 2: 331. https://doi.org/10.3390/biomedicines12020331

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop