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The World Health Organization (WHO) has recently announced the spread of novel coronavi-rus (nCoV) globally and has declared it a pandemic. The probable source of transmission of the virus, which is from animal to human and human to human contact, has been established. As per the statistics reported by the WHO on 11th April 2020, data has shown that more than sixteen lakh confirmed cases have been identified globally. The reported cases related to nCoV in India have been rising substantially. The review article discusses the characteristics of nCoV in detail with the probability of potentially effective old drugs that may inhibit the virus. The research may further emphasize and draw the attention of the world towards the development of an effective vaccine as well as alternative therapies. Moreover, the article will help to bridge the gap between the new researchers since it's the current thrust area of research.Copyright © 2020 Bentham Science Publishers.
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Background: The coronavirus pandemic has led to deleterious effects on health, physical, and mental. The pandemic, onset since the end of 2019, has negatively impacted individuals across all sociodemographic variables. The widespread pandemic pushed global governments to enforce sanitizing, masking, and maintaining physical distancing. This lockdown meant that everyone was restricted at home, pushing academic, and work activities to take virtual means. Furthermore, this implicated excessive screen use due to increased virtual means of working. Methodology: The present study investigates social media fatigue (SMF) and the psychological effect of the same among participants of India and Nigeria. The study deploys 299 participants (males and females) for the same. Results: The findings from the study indicate that though SMF exists, it is not a prominent effect seen, considering that social media use helped people emotionally connect to their loved ones. Conclusion: This study provides data on SMF in participants from India and Nigeria during the lockdown period of the pandemic, an area of research that has not been looked into much. The study builds a scope for further research to delve into the impact of SMF at a global level, studying it with more robust statistical methods.
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The Drugs & Cosmetic act is meant to regularize safety & quality of medical devices, which is applied to all medical devices, implemented from 1st April 2020. Earlier 37 medical devices were regulated/ notified in India. The present study focuses on the devices which require regulations but still lack the quality check points for scrutiny from Central Drug standard control organization (CDSCO), Delhi. Furthermore, it aims to provide quality checklist for two upcoming devices (Ventilator) which is neither categorized nor regulated by Central Drug standard control organization, Delhi. Since the medical devices aid in diagnosing, treatment and palliative care, it is essential to check the quality such that it matches with the International standards. Post covid-19 outbreak ventilators have come under surveillance and notified as medical devices. The present study monitors all parameters for regulation of the ventilator. The survey based quality & regulation standards for ventilator as medical devices has been incorporated in this study.
ABSTRACT
The central drugs standard control organization (CDSCO), Indian national regulatory authority under the Ministry of Health and Family Welfare have revised the clinical trial regulations in 2019 and there was a tremendous change in the approach for regulatory approvals due to the COVID-19 pandemic. A tremendous strain has been observed on the clinical research activities due to the COVID-19 pandemic which involves the redirection of resources and avoidance of personal meetings. Therefore, an urgent need of innovative solution was identified to enhance the overall performance clinical research during this pandemic. The innovative solutions include involvement of digital biomarkers, digital information consent form, digital health record and digital case report form. In the present study, impact of new drugs and clinical trials rules 2019 and COVID-19 pandemic on clinical trials applications received by CDSCO and evaluated by Subject Expert Committees (SEC) have been analyzed retrospectively. The author concluded that new drugs and clinical trials rules were enforced recently by the regulatory bodies to meet the requirement of emergency medical conditions. A large number of variations in the clinical trials application were observed in terms of the types of trial and the procedure after the implementation of new clinical trial rules.
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It is well established that COVID-19 carries a higher risk of morbidity and mortality in patients (pts) with hematologic malignancies. Emerging data suggests that despite the 3 COVID-19 vaccines with emergency use authorization (EUA) by the FDA inducing high levels of immunity in the general population, pts with hematologic malignancies have lower rates of seroconversion for the SARS-CoV-2 Spike antibody (Spike IgG) and thus possibly lower protection against severe COVID-19. We established a program of rapid vaccination and evaluation of response in an inner city minority population to help determine the factors that contribute to the poor seroconversion to COVID-19 vaccination in pts with hematologic malignancies. We conducted a cross-sectional cohort study of pts with hematologic malignancies seen at Montefiore Medical Center between March 29, 2021 and July 8, 2021 who completed their vaccination series with 1 of the 3 FDA EUA COVID-19 vaccines, Moderna, Pfizer, or Johnson & Johnson (J&J). We qualitatively measured Spike IgG production in all pts using the AdviseDx Spike IgG assay and performed quantitative analysis on pts who completed their vaccination series with at least 14 days (d) after the 2 nd dose of the Moderna or Pfizer vaccines or 28d after the single J&J vaccine. Safety data was collected via questionnaires or as part of the electronic medical record. We analyzed the characteristics of these pts using standard descriptive statistics and associations between pts characteristics, cancer subtypes, treatments, and vaccine response using a Fisher Exact test, Kruskal-Wallis Rank Sum test, or Kendall Tau-b test. A total of 121 pts with hematologic malignancies were enrolled and another 10 pts were included by retrospective chart review. Five pts did not have a Spike IgG performed after consent and excluded. Ten patients had Spike IgG testing before completion of their vaccination series and excluded from quantitative analyses. A total of 116 pts were included in immunogenicity analysis and 106 pts in quantitative analysis. Baseline characteristics and representative malignancies are listed in Table 1. Seventy pts (60%) received Pfizer, 36 pts (31%) Moderna, and 10 pts (9%) J&J. Median time from vaccination completion to Spike IgG was 40d. We observed a high-rate of seropositivity (86%) with 16 pts (14%) having a negative Spike IgG. Percent positivity was not statistically significant between vaccine types (p=0.50). We observed significantly lower seroconversion rates in pts with Non-Hodgkin lymphoma (p=0.005) and pts who received: cytotoxic chemotherapy (p=0.002), IVIG (p=0.01), CAR-T cell therapy (p=0.00002), and CD20 monoclonal antibodies (Ab) (p=0.0000008) especially within 6 mo of Spike Ab evaluation (p=0.01). All pts who received anti-CD19 (Axi-cel) CAR-T therapy (0/6) were seronegative, and 1 pt that received BCMA directed CAR-T (Cilta-cel) was seropositive with no association between timing CAR-T cell infusion and seroconversion/titer. Use of BCL2 inhibitors (p=0.04), CD20 monoclonal Ab (p=0.0009), CAR-T cell therapy (p=0.01), BTK inhibitors (p=0.04), current steroid use (p=0.002), and IVIG (p=0.003) also correlated with significantly lower Ab titers with a trend toward lower Ab titers in pts on any active cancer therapy at time of vaccination (p=0.051). Immunomodulatory drugs (p=0.01) and proteasome inhibitors (p=0.01) had significantly higher seroconversion rates, and pts with history prior COVID-19 (12/106) had significantly higher Ab titers (p=0.0003). Of 47 pts who received stem cell transplant, 43 received an autologous (37 seropositive, 6 seronegative) and 4 an allogeneic transplant (3 seropositive, 1 seronegative), with no significant association with seroconversion, Ab titer, or time since transplant (greater or less than 1 year). The majority of pts, 64% and 53%, reported no adverse effects (AE) to the 1 st and 2 nd dose respectively. The most common AE were mild in severity and included sore arm, muscle aches, fatigue, and fever. No life-threatening AE were observed. Our findings indicate hat vaccination is safe, effective, and well tolerated in the majority of pts with hematologic malignancies. We observed that pts receiving B-cell depleting therapies are unable to mount an effective serological response to COVID-19 vaccines and remain vulnerable to the disease. Novel immunization strategies (active or passive) are urgently needed in this population. [Formula presented] Disclosures: Gritsman: iOnctura: Research Funding. Shastri: Onclive: Honoraria;Kymera Therapeutics: Research Funding;Guidepoint: Consultancy;GLC: Consultancy. Halmos: Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding;Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding;Astra-Zeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding;Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding;AbbVie: Research Funding;Boehringer-Ingelheim: Membership on an entity's Board of Directors or advisory committees, Research Funding;Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding;GSK: Research Funding;Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding;Mirati: Research Funding;Elevation: Research Funding;Blueprint: Research Funding;Advaxis: Research Funding;Eli-Lilly: Research Funding;TPT: Membership on an entity's Board of Directors or advisory committees;Apollomics: Membership on an entity's Board of Directors or advisory committees;Guardant Health: Membership on an entity's Board of Directors or advisory committees. Verma: BMS: Research Funding;GSK: Research Funding;Novartis: Consultancy;Stelexis: Consultancy, Current equity holder in publicly-traded company;Eli Lilly: Research Funding;Curis: Research Funding;Medpacto: Research Funding;Incyte: Research Funding;Acceleron: Consultancy;Stelexis: Current equity holder in publicly-traded company;Celgene: Consultancy;Throws Exception: Current equity holder in publicly-traded company.
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BACKGROUND: Vaccination is an important preventive health measure to protect against symptomatic and severe COVID-19. Impaired immunity secondary to an underlying malignancy or recent receipt of antineoplastic systemic therapies can result in less robust antibody titers following vaccination and possible risk of breakthrough infection. As clinical trials evaluating COVID-19 vaccines largely excluded patients with a history of cancer and those on active immunosuppression (including chemotherapy), limited evidence is available to inform the clinical efficacy of COVID-19 vaccination across the spectrum of patients with cancer. PATIENTS AND METHODS: We describe the clinical features of patients with cancer who developed symptomatic COVID-19 following vaccination and compare weighted outcomes with those of contemporary unvaccinated patients, after adjustment for confounders, using data from the multi-institutional COVID-19 and Cancer Consortium (CCC19). RESULTS: Patients with cancer who develop COVID-19 following vaccination have substantial comorbidities and can present with severe and even lethal infection. Patients harboring hematologic malignancies are over-represented among vaccinated patients with cancer who develop symptomatic COVID-19. CONCLUSIONS: Vaccination against COVID-19 remains an essential strategy in protecting vulnerable populations, including patients with cancer. Patients with cancer who develop breakthrough infection despite full vaccination, however, remain at risk of severe outcomes. A multilayered public health mitigation approach that includes vaccination of close contacts, boosters, social distancing, and mask-wearing should be continued for the foreseeable future.
Subject(s)
COVID-19 , Neoplasms , COVID-19 Vaccines , Humans , Neoplasms/complications , SARS-CoV-2 , VaccinationABSTRACT
Introduction: Adult T-cell leukemia lymphoma (ATLL) is a rare hematologic malignancy caused by human T-cell lymphotropic virus (HTLV-1) with dismal cure rates and poor response to conventional chemotherapy. Allogeneic Hematopoietic Stem Cell Transplantation (AlloSCT) is the only therapeutic option which may offer the chance of long-term remission and cures in a subset of patients. We sought to investigate the outcomes of transplantation in one of the largest cohorts in North America. Methods: A retrospective chart review study was conducted using the North-American ATLL and the Hematopoietic Precursor Cell transplantation databases at Montefiore Medical Center from 2011 to 2020. Variables collected include age, sex, ethnicity, ATLL subtype, molecular profile, previous treatments, conditioning regimens, type of transplant, immunosuppressive regimen, progression free survival (PFS) post-transplant and overall survival (OS) post-transplant. Results: Fourteen patients with ATLL who received an AlloSCT from 2011-2020 were identified. Fifty-seven percent (8/14) of patients were male. Seventy-one percent (10/14) of patients were African American and twenty-nine percent (4/14) were Hispanic. Median age was 51 years. Sixty-four percent (9/14) of patients had Stage IV disease at the time of diagnosis. Forty-three percent (6/14) patients had acute and fifty-seven percent (8/14) had lymphomatous ATLL. Almost all patients (92%) were treated initially with EPOCH combination chemotherapy. Twenty-eight percent (4/14) of patients received interferon/zidovudine as bridge-to-transplant. Fifty-seven percent (8/14) of patients achieved complete remission (CR) prior to AlloSCT, 7% (1/14) were in partial remission, and 28% (4/14) were relapsed or refractory. Forty-three percent (6/14) of patients received SCT from a matched-related donor (MRD), 36% (5/14) from a haplo-identical donor and 21% (3/14) from a matched-unrelated donor (MUD). Ninety-three percent (13/14) of patients received a reduced-intensity conditioning (RIC) regimen pre-transplantation. Seven percent (1/14) received a myeloablative conditioning (MAC) regimen. RIC regimens consisted of fludarabine with melphalan +/- anti-thymocyte globulin (ATG) or fludarabine with cyclophosphamide with total-body irradiation in doses less than 500 cGy. Patients receiving haplo-identical SCT also received post-transplant cyclophosphamide (PTCy) for prevention of graft vs host disease (GVHD). The MAC regimen used included busulfan with cyclophosphamide at myeloablative doses. Twenty-eight percent (4/14) of patients relapsed post-alloSCT with a median relapse-free survival of 6 months (range 4-18 months). The median OS of the whole cohort was 27 months (8-82 months). Graft-versus-host disease (GVHD) developed in 28% (4/14) percent of patients. The most common manifestation was skin GVHD. Fifty-percent (7/14) of the patients are surviving to-date. Transplant-related mortality (TRM) at day 100 was 21% (3/14) of patients. Causes of death were complex and included several diagnoses in certain patients. The most frequent diagnoses associated with death were infection (28%), graft failure (14%), GVHD (14%), veno-occlusive disease of the liver (VOD) (7%), disease progression (14%) and unknown due to patient lost to follow-up (14%). The main infectious events included fungal (2), bacterial (1), and COVID-19 (1) infection. Forty-three percent (6/14) of patients remain in complete remission to date. Conclusions: Allogeneic Stem Cell Transplantation offers long-term survival with a TRM of 21% in a disease with an inherently dismal prognosis. AlloSCT using several graft sources, is thus, a safe and well tolerated treatment modality and offers long term remissions. Disclosures: Steidl: Pieris Pharmaceuticals: Consultancy;Aileron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding;Bayer Healthcare: Research Funding;Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advi ory committees. Verma: BMS: Consultancy, Research Funding;acceleron: Consultancy, Honoraria;Janssen: Research Funding;Medpacto: Research Funding;stelexis: Current equity holder in private company. Janakiram: ADC Therapeutics, FATE therapeutics, TAKEDA pharmaceuticals: Research Funding.
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Background: Adoptive immunotherapy using CD19-targeted Chimeric Antigen Receptor T-cells (CAR-T) has revolutionized the treatment of relapsed/refractory diffuse large B-cell lymphoma (DLBCL). We have demonstrated the efficacy of FDA-approved axicabtagene ciloleucel (Yescarta) in a multiethnic New York City underserved population with 80% complete response (CR) rate in the first ten patients treated at our institution (Abbasi et al., 2020). There is limited data on the propensity of infections and lymphohematopoietic reconstitution after Day 30 (D30) following CAR-T cell therapy. In this study, we evaluated the prevalence and nature of infectious complications in an expanded cohort of DLBCL patients treated with CD19 CAR-T therapy and its association with the dynamics of leukocyte subpopulation reconstitution post-CAR-T cell therapy. Methods: We conducted a retrospective study of patients who received CAR-T therapy at our institution between 2018-2020. Variables collected include patient demographics, absolute neutrophil (ANC), lymphocyte (ALC) and monocyte counts (AMC) at Day 30, hematologic reconstitution (ANC≥ 1500/µL) at Day 90 (D90), presence or absence of infections after D30 by clinical and/or microbiological parameters. Associations between presence of infection and D30 ANC, ALC, AMC, ANC/ALC ratio, AMC/ALC ratio were assessed using Kruskal-Wallis test. Association between infection and hematologic reconstitution at D90 was done using Chi-square test. Kaplan-Meier curves with log-rank test were used to evaluate overall survival (OS) and progression-free survival (PFS). Results: Nineteen patients were evaluated in our study, consisting of 42% (8) Hispanic, 32% (6) Caucasian, 21% (4) African-American, and 5% (1) Asian subjects. Based on clinical and microbiologic data, 47% (9) developed an infection after D30 (infection group) while 53% (10) of subjects remained infection-free after D30 (non-infection group). The most common infection type observed was viral (11 patients) followed by bacterial (8 patients) and fungal (3 patients) (Table 1). Of 25 total infectious events, 44% (11) were grade 1 or 2 and 48% (12) were grade 3 with 10 being viral in etiology. Two deaths occurred due to an infectious process. Three patients tested SARS-CoV-2 positive and were hospitalized with COVID-19 pneumonia. Median OS and PFS has not been reached in either group. To determine the kinetics of lymphohematopoietic reconstitution and its association with infection risk, we evaluated the relationship between cytopenias and rates of infection after D30. Notably, compared to non-infection group, infection group had a higher median ALC (1000/µL vs 600/µL p=0.04), a lower median ANC/ALC ratio (1.4 vs 4.5 p<0.01) and a lower median AMC/ALC at D30 (0.36 vs 1.33, p=0.01) (Table 2). In addition, patients in the infection group had a lower rate of hematologic reconstitution (ANC >1500/µL) at D90. We observed that only 22% (2) of patients had recovered ANC > 1500/µLin the infection group as opposed to 80% (8) in the non-infection group at D90 (p= 0.038). Rates of cytokine release syndrome (CRS) were comparable between the two groups (55.6% vs 70% p=0.52). Surprisingly, rates of immune-effector cell associated neurotoxicity syndrome (ICANS) was lower (55.6%) in the infection group compared to (90%) non-infection group (p=0.09). Fourteen of 19 patients had follow-up over one year, of which 8 (57%) remained in complete remission (CR). Conclusions: We demonstrate an infection rate of 47% (9) beyond D30 in patients undergoing CD19 CAR-T. Increased ALC, lower ANC/ALC and AMC/ALC ratios at D30 may be predictive of infectious complications. Median OS has not been reached in our cohort. Given the potential clinical impact, our observations should be corroborated using larger datasets. [Formula presented] Disclosures: Steidl: Pieris Pharmaceuticals: Consultancy;Bayer Healthcare: Research Funding;Stelexis Therapeutics: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees;Ai eron Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Janakiram: ADC Therapeutics, FATE therapeutics, TAKEDA pharmaceuticals: Research Funding. Verma: BMS: Consultancy, Research Funding;acceleron: Consultancy, Honoraria;Janssen: Research Funding;stelexis: Current equity holder in private company;Medpacto: Research Funding.
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Background: In-hospital mortality among patients with cancer (pts) and COVID-19 infection is high. The frequency of, and factors associated with, donot- resuscitate (DNR) or do-not-intubate (DNI) orders at hospital admission (HA), and their correlation with care, has not been well studied. In November 2020, we began collecting this information for pts who were hospitalized at initial presentation in the CCC19 registry (NCT04354701). Methods: We investigated: 1. the frequency of, and factors associated with, DNR/DNI orders at HA;2. change in code status during HA;and 3. the correlation between DNR/DNI orders and palliative care consultation (PC), mortality or length of stay (LOS). We included hospitalized, adult pts with cancer and COVID-19 from 57 participating sites. Reported characteristics include age, ECOG performance status (PS), and cancer status. Comparative statistics include 2-sided Wilcoxon rank sum and Fisher's exact tests. Results: 744 pts had known baseline and/or changed code status (CS);most (79%) maintained their baseline CS (Table). Those with DNR±DNI orders at HA were older (median age 79 vs 69 yrs, p<0.001) and more likely to have: ECOG PS 2+ vs 0-1 (45% vs 22%, OR 3.95, p<0.001), metastatic disease (45% vs 35%, OR 1.72, p=0.005) and progressing cancer (32% vs 16%, OR 2.69, p<0.001), but equally likely to have received systemic anticancer therapy in the prior 3 months (38% vs 45%, p=0.15). N=192 pts with a change in CS from full to DNR±DNI were younger (median age 73), had better PS (37% ECOG PS 2+), and were less likely to have progressing cancer (23%) than those with DNR±DNI orders at baseline. However, their LOS was significantly longer, median 9 vs 6 days, p<0.001. Compared to those with DNR±DNI orders at HA, pts whose CS changed to DNR±DNI were more likely to die, OR 2.94, 95% CI 1.76-4.97, p<0.001. PC was obtained in 106 (14%) pts and associated with transition to DNR±DNI in 47 (44%), affirmation of admission CS in 58 (55%), and reversal in 1 (1%). Median LOS for pts receiving PC was 11 vs 6 days, p<0.001. Conclusions: In our sample, the majority of patients with cancer and COVID-19 were full code at hospital admission. DNR±DNI status, whether at baseline or assigned during the hospital course, was associated with worse prognosis. Longer length of stay for patients changing code status and/or receiving palliative care consultation was observed likely suggesting earlier palliative care consultation is an important, but likely underutilized component in the care of patients with cancer and COVID-19. (Table Presented).