Outcomes of Patients with Hematologic Malignancies and COVID-19: Perspective of a Large Hematology Center in Greece

The emergence of SARS-CoV-2, as of July 2021 has affected 469,042 individuals and accounted for 12,851 deaths nationally in Greece, according to WHO database. Mortality rate is higher in elderly patients (pts) and in pts with comorbidities, including malignancies. However, there is a growing interest on COVID-19 outcomes in pts with hematologic diseases. The aim of this study was to perform a systematic registration and analysis of the outcomes of pts with hematologic disease and COVID-19 in our center. The study is a single-center, retrospective study, conducted at a Hematology Department and HCT unit of a tertiary Hospital after approval from local Ethics Committee. We included pts with a hematologic disease and RT-PCR confirmed COVID-19 infection between October 2020 and July 2021. We reviewed hematological medical records to extract demographic and clinical data of COVID-19 infections. Most of the data have already been intergraded in ASH Research Collaborative Data Hub. Hematologic diseases were categorized to: Acute Myeloblastic Leukemia (AML), Acute Lymphoblastic Leukemia (ALL), Non-Hodgkin Lymphomas (NHL), Chronic Lymphocytic Leukemia (CLL), Hodgkin Lymphoma (HL), Multiple Myeloma (MM), Myelodysplastic Syndromes (MDS), Chronic Myeloid Leukemia (CML), Myeloproliferative Neoplasms (MPN, including all Philadelphia-negative MPN) and other hematologic conditions. We evaluated a total of 89 pts, 54% were male and 46% female, with a median age of 64.5 (20-86) and 59.5 (21-85) years respectively. 83% of pts were ≥40 years and 27% ≥70 years old. Most of them (92%) acquired infection outside a hospital setting. 13% of pts were asymptomatic and diagnosis was confirmed only with positive RT-PCR test. The most common represented malignancies were NHL 26%, CLL 20% and acute leukemias 13.5%, while 15% of pts underwent transplantation (HCT). Pts presented with moderate/severe COVID-19 were 55%, while 43% of hospitalized pts required Intensive Care Unit (ICU) admission. Overall, the death rate was 24%, while remarkably almost all pts required ICU support did not survive (mortality 94%). Higher mortality observed in patients with MDS (50%), MM (43%), CLL (39%), ALL (33%) and NHL (30%). Further analysis showed a positive correlation between mortality and male gender with 16 deaths out of 21 (p = .0245), as well as mortality and ICU admission (p < .001). A chi-square test of independence was performed to examine the relation between age and COVID-19 severity, without any statistically significant result [x 2 (2, N = 87) = 3.475, p = .176]. Whereas the only significant correlation between age and mortality was among age groups 18-39 and >70 years (p = .0146). Regarding treatment, pts were divided into two subgroups, 78% of them received anticancer therapy at least once in their lives, while 22% of them have never been on treatment, mainly pts with CLL and indolent NHL. 62% of the first subgroup manifested moderate/severe COVID-19 infection requiring hospitalization with 28% death rate, while the same rates in the 2 nd subgroup were 30% and 10% respectively. Although there was a significant correlation between the treatment status and the severity of COVID-19 infection (p = .020), the above was not translated in statistically higher death rate in the first subgroup (p = .14). There was also a correlation between HCT and COVID-19 severity in general (p = .005), with autologous HCT having statistically higher mortality than the allogeneic subgroup (p = .032). Α similar analysis in CLL and NHL groups showed no relation among treatment status, COVID-19 severity, and mortality (p values .638 and .115/ .34 and .62 respectively). As anticipated in hematological pts, the immunocompromised nature of the underlying disease makes them extremely vulnerable to COVID-19 infection regardless of their treatment status, a fact that is also reflected in mortality despite ICU admission and support. In general, the severity of infection is correlated to anticancer therapy, while mortality to male sex, ICU admission and autologous HCT. Larger number of pts are necessary for further studies to better understand the parameters that impact the outcome of COVID-19 in hematological pts. Hematology departments should remain COVID-19 free zones, dedicated only to hematologic treatment and pts should strictly comply with social distancing. It remains to see if vaccines can play a key role to protect this special group of pts. Figure 1 Figure 1. Disclosures Anagnostopoulos: Abbvie: Other: clinical trials; Sanofi: Other: clinical trials ; Ocopeptides: Other: clinical trials ; GSK: Other: clinical trials; Incyte: Other: clinical trials ; Takeda: Other: clinical trials ; Amgen: Other: clinical trials ; Janssen: Other: clinical trials; novartis: Other: clinical trials; Celgene: Other: clinical trials; Roche: Other: clinical trials; Astellas: Other: clinical trials .

Serologic Responses Following Sars-Cov-2 Vaccination and Factors Influencing It in Patients with Hematological Malignant and Non-Malignant Diseases - a Prospective Multicentric Study

Background Patients with hematologic malignancy have a higher risk of death from COVID-19 compared to the general population. A blunted immune response from both the underlying disease and applied treatment may contribute to development of more severe forms of COVID-19, absence of seroconversion, prolonged viral shedding, and might also impair humoral vaccine response. Factors influencing efficacy of SARS-CoV-2 vaccines in this patient population are still insufficiently explored. Methods We prospectively enrolled 143 patients with malignant or non-malignant hematologic diseases from University Hospital Centre Zagreb vaccinated between January and June 2021 with either mRNA-1273 (Moderna), BNT162b2 mRNA (Pfizer-BioNTech), or ChAdOx1 nCoV-19 (Oxford-AstraZeneca) vaccines. A qualitative assay against SARS-CoV-2 nucleocapsid antigen was used to detect prior infection; these patients (n=23) were excluded from the final analysis. Humoral response following vaccination was monitored using serological immunoassay registered for quantitative measurement of serum anti-SARS-CoV-2 RDB-spike protein antibodies. Both electrochemiluminescent assays performed by Cobas e801 analyzer (Roche Diagnostics, Mannheim, Germany) detect total antibodies (including IgG). Response was recorded after the first and second doses. A positive response was defined as > 0.8 U/mL. Upper and lower limits of quantification were 0,4 U/mL and 250 U/mL respectively. We reviewed patient records for demographics, underlying hematological diseases, current treatment, the total number of lines of therapy received, IgG levels, application of anti-CD20 monoclonal antibodies (mAbs) and corticosteroids in the last 6 months before vaccination, and subsequent SARS-CoV-2 infection. Inter-group comparisons were performed with Mann-Whitney U, χ 2, or Fisher's exact test as appropriate. ROC curve analysis was used to find optimized cut-off values of numerical variables regarding response to the second dose. P values <0.05 were considered statistically significant. MedCalc statistical software v 20.008 was used for all analyses. Results We evaluated a total of 120 patients who received at least one dose. Patient characteristics are summarized in Table 1. The majority received the Pfizer-BioNTech vaccine (66.7%), followed by Oxford-AstraZeneca (24.2%) and Moderna (9.2%). Data on humoral response after the first dose was available in 66 patients, among whom 20 (33%) achieved response with median specific IgG levels 6.1 U/mL. Response after the second dose was available in 90 patients; 58 (64.4%) achieved response with median specific IgG levels 250 U/mL. The second dose significantly improved response both in terms of achieved response (P=0.031) and specific IgG levels (P<0.001). There were no significant differences in response or specific IgG levels regarding the type of the vaccine (P>0.05). Lower response rates after the second dose were achieved in patients aged >67 years (P<0.001; response in 32.4% vs. 83.9%), with specific diagnosis (P=0.002, driven by response in patients with non-Hodgkin's lymphoma (NHL; response in 29.2% NHL vs. 77.3% non-NHL) and chronic myeloid leukemia (CML; 100% response in CML vs. 61.4% non-CML)), those receiving active treatment (50% vs. 88%; P<0.001), no prior hematopoietic stem cell transplantation (HSCT; 51% vs. 93%; P<0.001) and prior anti-CD20 mAbs therapy (4% vs. 85%; P<0.001). Corticosteroid therapy (>120 mg prednisone equivalent dose) did not influence the response significantly (response in 88.9% vs. 42.1%; P=0.056), and neither did steroid type. Four (3,3%) patients tested positive for SARS-CoV-2 after vaccination, 2 of which had no humoral response, and 2 had received only one dose. Three patients required in-hospital treatment and oxygen supplementation. Conclusions Patients with hematologic diseases have lower serological response rates to SARS-CoV-2 vaccines than those previously reported in clinical trials. Our results also suggest they benefit from receiving both doses with no significant difference between vaccine types. Those in active treatment, no prior HSCT, diagnosed with NHL, and receiving anti-CD20 mAb seem more likely to be seronegative after receiving both doses. However, the present study did not examine potential confounding effects between these factors and these findings should be elaborated further in larger patient cohorts. Figure 1 Figure 1. Disclosures Aurer: Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Swixx/BMS: Honoraria; sanofi genzyme: Consultancy, Honoraria; Teva/Pilva: Honoraria; Abbvie: Consultancy, Honoraria; Eusapharma: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; takeda: Consultancy, Honoraria. Durakovic: Takeda, Novartis, Genyzme: Honoraria.

Oral Candidiasis in Patients with Hematological Diseases: Diagnosis Through Clinical and Cytopathological Exams

Background: Candidiasis is a common opportunistic infection that may interfere with oncologic patients’ prognosis, especially those with hematologic diseases. This study is the first to analyse the prevalence of oral candidiasis in onco-hematological patients by physical and oral cytopathological exams. Methods: This is a cross-sectional and observational study with a retrospective sample composed of participants hospitalized in the hematology clinic, diagnosed with hematologic diseases. All patients were submitted to an oral mucosal exam and scraps from oral mucosa were obtained. Results: Of the 62 participants, 56.5% were male, 82.3% were white, with mean age of 57 years. Lymphoma was the most common hematologic disease (24.2%). In total, 48.3% of the sample was diagnosed with oral candidiasis. Of these participants with oral candidiasis, 13 (21.0%) had clinical diagnosis, where erythematous subtype was present in all cases and pseudomembranous subtype in 12 individuals. Cytopathological analysis revealed more 17 (27.4%) cases, without oral lesion indicative of candidiasis. Conclusions: Oral candidiasis is common among patients with hematologic disease, and the cytopathological exam proved to be a useful tool, confirming clinical diagnosis of candidiasis and identifying subclinical cases. These data are of great relevance considering the possible complications that these patients may develop such as longer hospitalizations, worsening of the general condition due to candidemia and even death.

Invasive Fusariosis in Patients with Hematologic Diseases

Fusarium species are filamentous fungi widely encountered in nature, and may cause invasive disease in patients with hematologic conditions. Patients at higher risk are those with acute leukemia receiving induction remission chemotherapy or allogeneic hematopoietic cell transplant recipients. In these hosts, invasive fusariosis presents typically with disseminated disease, fever, metastatic skin lesions, pneumonia, and positive blood cultures. The prognosis is poor and the outcome is largely dependent on the immune status of the host, with virtually a 100% death rate in persistently neutropenic patients, despite monotherapy or combination antifungal therapy. In this paper, we will review the epidemiology, clinical manifestations, diagnosis, and management of invasive fusariosis affecting patients with hematologic diseases.

Advancing therapeutic complement inhibition in hematologic diseases: PNH and beyond

Complement is an elaborate system of the innate immunity. Genetic variants and autoantibodies leading to excessive complement activation are implicated in a variety of human diseases. Among them, the hematologic disease paroxysmal nocturnal hemoglobinuria (PNH) remains the prototype model of complement activation and inhibition. Eculizumab, the first-in-class complement inhibitor, was approved for PNH in 2007. Addressing some of the unmet needs, a long-acting C5 inhibitor, ravulizumab, and a C3 inhibitor, pegcetacoplan have been also now approved with PNH. Novel agents, such as factor B and factor D inhibitors, are under study with very promising results. In this era of several approved targeted complement therapeutics, selection of the proper drug needs to be based on a personalized approach. Beyond PNH, complement inhibition has also shown efficacy and safety in cold agglutinin disease (CAD), primarily with the C1s inhibitor of the classical complement pathway, sutimlimab, but also with pegcetacoplan. Furthermore, C5 inhibition with eculizumab and ravulizumab, as well as inhibition of the lectin pathway with narsoplimab, are investigated in transplant-associated thrombotic microangiopathy (TA-TMA). With this revolution of next-generation complement therapeutics, additional hematologic entities, such as delayed hemolytic transfusion reaction (DHTR) or immune thrombocytopenia (ITP), might also benefit from complement inhibitors. Therefore, this review aims to describe state-of-the-art knowledge of targeting complement in hematologic diseases focusing on: a) complement biology for the clinician, b) complement activation and therapeutic inhibition in prototypical complement-mediated hematologic diseases, c) hematologic entities under investigation for complement inhibition, and d) other complement-related disorders of potential interest to hematologists.