ABSTRACT
It is well established that COVID-19 carries a higher risk of morbidity and mortality in patients with hematologic malignancies, however, very little data on ethnicity specific responses in this particular patient population currently exist. We established a program of rapid vaccination and evaluation of antibody-mediated response to all EUA COVID-19 vaccines in an inner city minority population to determine the factors that contribute to the poor seroconversion to COVID-19 vaccination in this population. We conducted a cross-sectional cohort study of 126 patients with hematologic malignancies in the outpatient practices of our institution who completed their vaccination series with one of the three FDA EUA COVID-19 vaccines, Moderna, Pfizer, or Johnson & Johnson (J&J). We qualitatively measured Spike IgG production in all patients using the AdviseDx SARS-CoV-2 IgG II assay and quantitatively in 106 patients who completed their vaccination series with at least 14 days after the 2nd dose of the Moderna or Pfizer vaccines or 28d after the single J&J vaccine. Patient characteristics were analyzed using standard descriptive statistics and associations between patient characteristics, cancer subtypes, treatments, and vaccine response were assessed using Fisher Exact test or Kruskal-Wallis Rank Sum test. The majority of patients (74%) were minorities. Seventy patients (60%) received Pfizer, 36 patients (31%) Moderna, and 10 patients (9%) J&J. We observed a high-rate of seropositivity (86%) with 16 pts (14%) having a negative Spike IgG. Of the 86 minority patients included, 94% Blacks (30/32) and 87% (39/45) Hispanics showed seropositivity. The factors that contributed to significantly lower seroconversion rates included patients with Non-Hodgkin lymphoma (p=0.005), those 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). Plasma cell neoplasms (p=0.02), immunomodulatory agents (p=0.01), and proteasome inhibitors (p=0.01) had significantly higher seroconversion rates, and those with a history of prior COVID-19 (11%, 12/106) had significantly higher antibody titers (p=0.0003). The positivity rate was 86% (37 seropositive, 6 seronegative) for autologous HSCT and 75% (3 seropositive, 1 seronegative) for allogeneic HSCT. No life-threatening AE were observed. We show high seroconversion rates after SARS-CoV-2 vaccination in non-White patients with hematologic malignancies treated with a wide spectrum of therapeutic modalities. Vaccination is safe, effective, and should be encouraged in most patients with hematologic malignancies. Our minorities based study could be employed as an educational tool to dispel myths and provide data driven evidence to overcome vaccine hesitancy.
ABSTRACT
As COVID-19 has been shown to adversely affect patients with cancer, prophylactic strategies are critically needed. We determined the immunogenicity of COVID-19 vaccination in a cohort of cancer patients that had received full dosing with one of the FDA-approved COVID-19 vaccines. 201 oncology patients underwent anti-spike protein SARS-CoV-2 IgG testing post vaccination and demonstrated a high rate of seroconversion (94%) overall. When compared to solid tumors (98%), a significantly lower rate of seroconversion was observed in patients with hematological malignancies (85%), particularly recipients of anti-CD20 therapies (70%) and stem cell transplantation (74%). Patients receiving immune checkpoint inhibitor therapy (97%) or hormonal therapies (100%) demonstrated high seroconversion post-vaccination. Patients with prior COVID-19 infection demonstrated higher anti-spike IgG titers post-vaccination. Relatively lower IgG titers were noted following vaccination with the adenoviral when compared to the mRNA-based vaccines. These data demonstrate generally high immunogenicity of COVID-19 vaccination in oncology patients and identify vulnerable cohorts that need novel vaccination or passive immunization strategies.
ABSTRACT
The causes of coagulopathy associated with COVID-19 disease are poorly understood. We aimed to investigate the relationship between markers of endothelial activation, intravascular hemolysis, coagulation, and organ damage in COVID-19 patients and study their association with disease severity and mortality. We conducted a retrospective study of 181 hospitalized COVID-19 patients randomly selected with equal distribution of survivors and non-survivors. Patients who died had significantly lower ADAMTS13 activity, significantly higher LDH, schistocytes and von Willebrand Factor levels compared to patients discharged alive. Only 30% of patients with an initial ADAMTS13 activity <43% survived vs. 60% with ADAMTS13 [≥]43% who survived. In conclusion, COVID-19 may manifest as a TMA-like illness in a subset of hospitalized patients. Presence of schistocytes on admission may warrant a work-up for TMA. These findings indicate the need for future investigation to study the relationship between endothelial and coagulation activation and the efficacy of TMA treatments in COVID-19.
ABSTRACT
ImportanceCOVID-19 has caused a worldwide illness and New York has become the epicenter of COVID-19 in the United States. Currently Bronx has the highest prevalence per capita in New York. ObjectiveTo investigate the coagulopathic presentation of COVID and its natural course and to investigate whether hematologic and coagulation parameters can be used to assess illness severity and death. DesignRetrospective case study of positive COVID inpatients between 3/20/2020-3/31/2020. SettingMontefiore Health System main hospital, Moses, a large tertiary care center in the Bronx. ParticipantsAdult inpatients with positive COVID tests hospitalized at MHS. Exposure (for observational studies)Datasets of participants were queried for physiological, demographic (age, sex, socioeconomic status and self-reported race and/or ethnicity) and laboratory data. Main Outcome and MeasuresRelationship and predictive value of measured parameters to mortality and illness severity. ResultsOf the 217 in this case review, 70 died during hospitalization while 147 were discharged home. Only the admission PT and first D-Dimer could very significantly differentiate those who were discharged alive and those who died. Logistic regression analysis shows increased odds ratio for mortality by first D-Dimer within 48 hrs. of admission. The optimal cut-point for the initial D-Dimer to predict mortality was found to be 1.65 g/mL ConclusionsWe describe here a comprehensive assessment of hematologic and coagulation parameters in COVID and examine the relationship of these to mortality. We demonstrate that both initial and maximum D-Dimer values are biomarkers that can be used for survival assessments.
