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Introduction: Following the lifting of generalised restrictions and universal masking, severe acute respiratory syndrome coronavirus 2 (SARS-CoV- 2)- infected patients, especially the clinically extremely vulnerable (CEV) haematology patients, are at an increased risk for other respiratory viral coinfections;therefore, physicians need to be cognizant about excluding other treatable respiratory pathogens. Here, we report coinfection with SARS-CoV- 2 and other respiratory pathogens in patients with haematological cancers presenting to a large tertiary care hospital. Method(s): From July 2022-December 2022, patients with haematological disorders were screened for SARS-CoV- 2 and other 10 common respiratory pathogens by PCR. We performed a retrospective analysis of patients with concurrent respiratory viruses and will prospectively evaluate the same from Jan 2023 to March 2023. Result(s): During this period a total of 322 inpatients had routine screening and additional 6213 swabs were done in the outpatient/ambulatory setting, of which 294 were positive in 221 patients. We excluded all patients who had a single positive PCR swab result and specifically analysed only patients with coinfections. We identified 30 patients (14%) who had respiratory coinfections with 73 viral infections/reactivations over 6 months period, which represented 25% of all positive swabs: 25 inpatients (19 symptomatic/6 asymptomatic) and 48 in outpatients (32 symptomatic/16 asymptomatic). The median age of the cohort was 47.3 years (21-77). Patients were post allograft (n = 15), autograft (n = 7), post CART (n = 5) and postchemotherapy (n = 4). Of the 30 cases, 13 patients had concurrent infections: 5 SARS-CoV2, 10 Respiratory syncytial virus (RSV), 7 Rhino and 4 Influenza A, with all patients having dual viral infection. The remaining 17 patients had multiple viral infections but separated by a median of 54 days (range 27-137 days): 16 SARS-CoV2, 5 RSV, 6 Rhino, 2 Parainfluenza, 2 Adeno and one each of Influenza A, Influenza B, and metapneumovirus. Of the treatable infections (n = 46), 22% were detected on routine asymptomatic swabbing, with 50% of SARS-CoV2 detected on routine swabs. All 8 patients with Influenza were treated with oseltamivir, of 16 RSV cases one was treated with oral ribavirin and of the 22 SARS-CoV2 patients, 5 were treated (4 Paxlovid and 1 Remdesivir). No patients needed intensive care support and no deaths were reported. Conclusion(s): The burden of respiratory coinfections in CEV cohort has a significant impact on respiratory isolation and management, including appropriate & timely initiation of therapy for treatable viral infections. Although mortality was not increased secondary to respiratory coinfections and none needed intensive care, larger prospective cohorts are needed to assess the exact impact.
ABSTRACT
Background: Patients with lymphoproliferatie diseases (LPD) appear particularly ulnerable to SARS-CoV-2 infection, partly because of the effects of the anti-neoplastic regimens (chemotherapy, signaling pathway inhibitors, and monoclonal antibodies) on the immune system. The real impact of COVID-19 on the life expectancy of patients with different subtypes of lymphoma and targeted treatment is still unknown. Aims: The aim of this study is to describe and analyse the outcome of COVID-19 patients with underlying LPD treated with targeted drugs such as monoclonal antibodies (obinutuzumab, ofatumumab, brentuximab, niolumab or pembrolizumab), BTK inhibitors (ibrutinib, acalabrutinib), PI3K inhibitors (idelalisib), BCL2 inhibitors (enetoclax) and IMIDs, (lenalidomide). Methods: The surey was supported by EPICOVIDEHA registry. Adult patients with baseline CLL or non-Hodgkin Lymphoma (NHL) treated with targeted drugs and laboratory-confirmed COVID-19 diagnosed between January 2020 and January 2022 were selected. Results: The study included 368 patients (CLL n=205, 55.7%;NHL n=163, 44.3%) treated with targeted drugs (Table 1). Median follow-up was 70.5 days (range 19-159). Most used targeted drugs were ITKs (51.1%), anti-CD20 other than rituximab (16%), BCL2 inhibitors (7.3%) and lenalidomide (7.9%). Of note, only 16.0% of the patients were accinated with 2 or more doses of accine at the onset of COVID-19. Pulmonary symptoms were present at diagnosis in 244 patients (66.2%). Seere COVID-19 was obsered in 47.8 % patients while 21.7% were admitted to to intensie care unit (ICU), being 55 (26.8%) CLL patients and 25 (15.3%) NHL patients. More comorbidities were reported in patients with seere-critical COVID-19 compared to those with mild- asymptomatic infection (p=0.002). This difference was releant in patients with chronic heart diseases (p=0.005). Oerall, 134 patients (36.4%) died. Primary cause of death was COVID-19 in 92 patients (68.7%), LPD in 14 patients (10.4%), and a combination of both in 28 patients (20.9%).Mortality was 24.2% (89/368) at day 30 and 34.5%(127/368) at day 200. After a Cox multiariable regression age >75 years (p<0.001, HR 1.030), actie malignancy (p=0.011, HR 1.574) and admission to ICU (p<0.00, HR 4.624) were obsered as risk factors. Surial in patients admitted to ICU was 33.7% (LLC 38.1%, NHL 24%). Mortality rate decreased depending on accination status, being 34.2% in not accinated patients, 15.9-18% with one or two doses, decreasing to 9.7% in patients with booster dose (p<0.001). There was no difference in OS in NLH s CLL patients (p=0.344), nor in ITKs s no ITKs treated patients (p=0.987). Additionally, mortality rate dropped from the first semester 2020 (41.3%) to last semester 2021 (25%). Summary/Conclusion: - Our results confirm that patients with B--mallignancies treatted with targeted drugs hae a high risk off seere infection (47.8%) and mortality (36.4%) from COVID-19. - Pressence of comorbidities,, especially heart disease,, is a risk factor for seere COVIID--19 infection in ourr series. - Age >75 years,, actie mallignancy att COVIID--19 onset and ICU admission were mortality risk factors. - COVIID--19 acination was a protectie factor for mortality,, een iin this popullation wiitth humorall immunity impairment. - The learning cure in the management of the infection throughout the pandemiic and the deelopmentt off COVIID--19 treatments showed benefit in this partticullarlly ullnerablle popullation? (Table Presented).
ABSTRACT
Many patients with haematological cancers remain incompletely protected from SARS-CoV-2 following two doses of vaccine with Pfizer-BioNTech BNT162b2 nCoV-19 or ChAdOx1. Myelodysplastic syndrome (MDS) represents a spectrum of clonal bone marrow neoplasms. The response of patients with MDS to the COVID-19 vaccines remains unknown. Here, we report the humoral and T-cell responses of patients with low-and high-risk myelodysplastic syndrome (MDS), 2 weeks following completion of the second-dose schedules of ChAdOx1 or BNT162b2 nCoV-19 vaccines. Patients with MDS ( n = 38) followed up at Kings College Hospital, London were vaccinated with either BNT162b2 mRNA or ChAdOx1 nCoV-19 vaccine. Written informed consent was provided. Eligibility criteria included the diagnosis of MDS as per the WHO classification and age ≥18 years. Healthy volunteers (HV;n = 30) served as a reference group. Blood samples were collected 2 weeks after the second vaccine dose. Plasma samples were tested for SARS-CoV-2-specific antibody aimed at the SARS-CoV-2 spike (S) protein receptor-binding domain and neutralisation assays against pseudotypes with SARS-CoV-2 Wuhan strain (WT), VOC.B.1.1.7 (alpha) or VOC.B.1.617.2 (delta) Spike. Cellular responses were assessed using IFNγ ELISPOT and flow cytometry (CD25 and CD69 expression) after 24 h peptide stimulation. IFNγ ELISpot analysis was performed ex vivo for assessment of T-cell response. 32% of the MDS patients received BNT162b2 and 58% received ChAdOx1 nCoV-19 vaccines. All HV received BNT162b2. Overall serological responses were as follows: HV BNT162b2 100% (26/26);MDS BNT162b2 100% (15/15) and MDS ChAdOx1 76.2% (16/21). Notably, the MDS ChAdOx1 cohort demonstrated significantly decreased serological titres to the MDS BNT162b2 cohort. The functional implications of seroconversion were assessed by neutralisation assays for SARS-CoV-2 WT and VOC alpha and delta. All but four MDS patients could neutralise all variant strains, but MDS cohorts showed significantly reduced median neutralisations for all three variant strains compared to HV. Five MDS ChAdOx1 patients who did not have a serological response were able to mount T-cell responses. Additionally, treatment with either azacytidine or calcineurin inhibitor cyclosporin did not impair appropriate T-cell responses. The numbers of individuals who were both serological and T-cell responders were as follows: HV 95% (20/21), MDS BNT162b2 71.4% (10/14) and MDS ChAdOx1 52.9% (9/17). Overall serological responses in the MDS cohorts were 100% for those who had completed the two-dose BNT162b2 vaccine schedule compared to 76.2% of patients vaccinated with the ChAdOx1 vaccine. It may be advisable that MDS patients are boosted with an mRNA-based vaccine to promote enhanced immunity in this specific population. We observed that neutralisation in seroconverted patients was significantly weaker for both the ChAdOx-1 and BNT162b2 MDS cohorts compared to HV. This highlights the continued need for a third primary dose for this clinically vulnerable patient group and our further work will analyse the cohort's response to this.
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Introduction: Cancer patients have been considered a high-risk population in the COVID-19 pandemic. We previously investigated risk of COVID-19 death in COVID-19 positive cancer patients during a median follow-up of 134 days, and identified the following risk factors: male sex, age >60 years, Asian ethnicity, hematological cancer type, cancer diagnosis for >2.5 years, patients presenting with fever or dyspnea, and high levels of ferritin and C-reactive protein (CRP). Here, we further investigate which factors are associated with a COVID-19 related death within 7 days of diagnosis. Methods: Using data from Guy's Cancer Centre and one of its partner trusts (King's College Hospital), we included 306 cancer patients with a confirmed COVID-19 diagnosis (February 29th-July 31st 2020). 72 patients had a COVID-19 related death (24%) of whom 35 died within 7 days (50%). Cox proportional hazards regression was used to identify which factors were associated with a COVID-19 related death <7 days of diagnosis. Results: Of the 72 cancer patients who had a COVID-19 related death, the mean age was 72 years (Standard Deviation (SD) 14). A total of 53 (74%) patients were men. 37 (52%) had a hematological cancer type, 47 (65%) had stage IV cancer, and 42 (58%) had been diagnosed with cancer more than 24 months before COVID-19 related death. In the group of patients who died within 7 days of diagnosis (n= 35), mean age was 73 years (SD 13.96), 24 (68%) were men, 20 (57%) had a hematological cancer type, 26 (74%) had stage IV cancer, and 24 (68%) had been diagnosed with cancer >24 months before COVID-19 diagnosis. Factors associated with COVID-19 related death <7 days of diagnosis were: hematological cancer (Hazard Ratio (HR): 2.74 (95% Confidence Interval (CI): 1.21-6.22)), 2-5 yrs since cancer diagnosis (HR: 4.81 (95%CI: 1.47-15.69)), and >5 yrs since cancer diagnosis (HR: 4.41 (95%CI: 1.38-14.06)). Additionally, patients who presented with dyspnea had increased risk of COVID-19 related death <7 days compared to asymptomatic patients (HR: 5.25 (95%CI 2.14-12.89)). CRP levels in the third tercile (146-528 mg/L) as compared to the first were also associated with increased risk of an early death due to COVID-19. Conclusion: From all the factors identified in our previous COVID-19 related death analysis, only hematological cancer type, a longer-established cancer diagnosis (2-5 years and more than 5 years), dyspnea at time of diagnosis and high levels of CRP were indicative of an early COVID-19 related death (within 7 days of diagnosis) in cancer patients.
ABSTRACT
Background It is widely accepted that advancing age is associated with worse COVID-19 outcomes. However, there is insufficient data analyzing the impact of COVID-19 in the older cancer population. The aim of the study is to establish if age has an influence on severity and mortality of COVID-19 in cancer patients. Methods We reviewed 306 oncology patients with PCR-confirmed COVID-19 from Guy's Cancer Centre and its partner Trust King's College Hospital, between 29 February - 31 July 2020. Demographic and tumor characteristics in relation to COVID-19 severity and death were assessed with logistic and Cox proportional hazards regression models, stratified by age (≤65 and >65 years). Severity of COVID-19 was classified by World Health Organization (WHO) grading. Results A total of 135 patients were aged ≤65 years (44%) and 171 aged >65 (56%). Severe COVID-19 presentation was seen in 27% of those aged ≤65 and 30% of those aged >65. The COVID-19 mortality rate was 19% in those aged ≤65 and 27% in those aged >65. In the older cohort, there was an increased incidence of severe disease in Caucasian ethnicity compared to the younger cohort (55% vs 43%) and compared to severe disease in Black and Asian ethnicities. There were increased co-morbidities in the older cohort including hypertension (54% vs 32%), diabetes (30% vs 12%) with increased rate of poly-pharmacy (62% vs 40%) compared to the younger cohort. In terms of cancer characteristics in the older cohort, there was a higher rate of patients with cancer for more than 2 years (53% vs 32%) and performance status of 3 (22% vs 6%). In terms of severity, Asian ethnicity [OR: 3.1 (95% CI: 0.88-10.96) p=0.64] had greater association with increasing COVID-19 severity in those aged >65. Interestingly, there were no positive associations between number of co-morbidities, treatment paradigm or performance status with severity of disease in the older group. The risk of mortality was greater in the elderly cohort with hematological cancer types [HR: 2.69 (1.31-5.53) p=0.85] and having cancer for more than 2 years [2.20 (1.09-4.42) p=0.28] compared to the younger cohort. Conclusions In our study we demonstrate that severity and mortality of COVID-19 did not significantly differ between the two age cohorts except in regards to Asian ethnicity, hematological malignancies and having cancer for more than 2 years. As expected, the older population had more co-morbidities and polypharmacy. Despite this, the incidence of severe COVID-19 was similar regardless of age. Further analyses for other geriatric presentations are ongoing to understand their interaction with COVID-19 in the cancer population.
ABSTRACT
Background: The Coronavirus disease 2019 (COVID-19) pandemic continues to have a significant impact on the treatment of cancer patients. Understanding the clinical course, potential risk factors for severe infection and excess mortality, is essential to improve patient outcomes. We previously presented preliminary results from 156 SARS-CoV-2 positive cancer patients from Guy's Cancer Center, which suggested that increased COVID-19 mortality was associated with a diagnosis of cancer for over 2 years, Asian ethnicity and being on palliative treatment. Herein, we present an updated analysis using data from Guy's Cancer Centre and a partner Hospital Trust (King's College Hospital), with an increased number of patients and an extended follow up. Methods: We performed an analysis of all cancer patients who had a positive RT-PCR nasal/throat swab for SARS-CoV-2 infection at our Centers between 29th February and 31st July 2020. Associations between patients' demographics, clinical characteristics, and laboratory investigations with COVID-19 severity and mortality, were assessed using Logistic regression and Cox proportional hazards models. Results: 306 SARS-CoV-2 positive cancer patients were included in the analysis with a median follow up of 134 days (IQR 32-156). 184 (60%) were male and 217 (71%) were aged over 60 (mean age: 66). The most common malignancies were haematological (38%) and urological-gynaecological (20%). 218 (71%) had mild/moderate COVID-19 and 88 (29%) had severe disease. The overall COVID-related mortality rate was 24%;19% in solid and 32% in haematological cancers. Male sex [OR: 1.84 (95%CI:1.08-3.13)], Asian ethnicity [3.86 (1.20-12.36)], haematological cancer type [2.16 (1.18-3.95)], being diagnosed with cancer for 2-5 years [3.74 (1.80-7.78)] or ≥5 years [3.06 (1.50-6.26)] and a ferritin > 1964 mcg/l [54.92 (5.90-511.33)] were all associated with a risk of developing severe COVID-19 disease. Similarly, male sex [HR:1.97 (95%CI:1.15-3.38)], Asian ethnicity [3.42 (1. 59-7.35)], haematological cancer type [2.03 (1.16-3.56)] as well as a cancer diagnosis for >2-5 years [2.81 (1.41-5.59)] or ≥5 years [2.13 (1.06-4.27)] and a ferritin > 1964 mcg/l [16.11 (3.81-68.17)] were associated with an increased risk of death from COVID-19. Age >60 [2.14 (1.15-3.98)] and a raised CRP [4.10 (1.66-10.10)] were also associated with COVID-19 death. An inverse relationship was observed between a raised albumin and COVID-19 related death [0.12 (0.03- 0.51)]. Performance status and treatment paradigm were not associated with COVID-19 severity or mortality. Conclusions: This study further substantiates the evidence for an increased risk of severe COVID-19 infection and mortality for male and Asian patients with cancer, and those with haematological malignancies or with a diagnosis of cancer for over 2 years. These risk factors should be taken into account when making clinical decisions for cancer patients during the pandemic.
ABSTRACT
Myelodysplastic syndromes (MDS) represent a spectrum of clonal bone marrow neoplasms from low risk disease through to those transforming into acute myeloid leukaemia. The COVID-19 pandemic has presented a great risk to those with hematological malignancies who are at higher risk of severe disease and death than the general population. Previous studies looking at the immune response to influenza vaccination in those with MDS had shown promising results, with immune responses not differing from those of healthy family members. Whilst some data exist to reassure the MDS community that majority of patients show seroconversion following Covid-19 vaccination, little data exists on their neutralizing capacity or post vaccination T-cell responses in this cohort. In addition, the majority of patients in these studies received BNT162b2 and there is little published data on vaccine response to the ChAdOx1 nCoV-19 vaccine. We have investigated the humoral and T-cell response of 39 patients with MDS two to four weeks following Covid-19 booster vaccination with BNT162b2 or ChAdOx1 nCoV-19 through the SOAP study (Sars-cov-2 fOr cAncer Patients, IRAS project ID:282337). Plasma and PBMCs from MDS cases and healthy controls have been collected, and are being assessed for both humoral and cellular responses to SARS_CoV_2, the alpha (B.1.1.7) and delta (B.1.617.2) variants. Humoral responses will be assessed using ELISA (peptide binding) and functional viral neutralization assays. Cellular responses will be assessed using IFNy ELISPOT and flow cytometry (CD25 and CD69 expression) after 24h peptide stimulation. All data at time point 1 (2 - 4 weeks following booster vaccination) have been collected and will subsequently be collected at 6 months and 12 months post-vaccination. We also report on the safety data for these vaccines within this patient population. Of this cohort 64% were male with a median age of 65 years (range 21-84). 54% received vaccination with ChAdOx1 nCoV-19 and 44% received BNT162b2 (2% unrecorded). The vaccines were well tolerated with no serious adverse events to date. The mean interval between doses was 70.7 days (range 50 - 90 days). 71% of the cohort were receiving no disease modifying therapy at the time of vaccination, half of whom were receiving supportive therapy and the other half no intervention for their MDS. Of those receiving disease modifying therapy;5 were receiving azacitidine, (1 in conjunction with low-dose cytarabine) and 3 ciclosporin. We will report the largest study of the humoral and T-cell mediated response to the Covid-19 vaccine in MDS patients to date. This will include cellular response to the delta variant and immunogenicity of both the BNT162b2 and ChAdOx1 nCoV-19 vaccines. Given the vulnerability of these patients to severe disease, investigating the immune response to the vaccines begins to build an evidence base for advising MDS patients on their ongoing risk of infection during the pandemic and going forward. The SOAP study will reassess the immune response at 6 and 12 months post-vaccination to continue to investigate post-vaccine immunity in this cohort. Disclosures: Kulasekararaj: F. Hoffmann-La Roche Ltd.: Consultancy, Honoraria, Speakers Bureau;Apellis: Consultancy;Akari: Consultancy, Honoraria, Speakers Bureau;Biocryst: Consultancy, Honoraria, Speakers Bureau;Achilleon: Consultancy, Honoraria, Speakers Bureau;Alexion: Consultancy, Honoraria, Speakers Bureau;Ra Pharma: Consultancy, Honoraria, Speakers Bureau;Amgen: Consultancy, Honoraria, Speakers Bureau;Novartis: Consultancy, Honoraria, Speakers Bureau;Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau;Alexion, AstraZeneca Rare Disease Inc.: Consultancy, Honoraria, Other: Travel support. Patten: JANSSEN: Honoraria;NOVARTIS: Honoraria;GILEAD SCIENCES: Honoraria, Research Funding;ROCHE: Research Funding;ASTRA ZENECA: Honoraria;ABBVIE: Honoraria.