ABSTRACT
The difficulty in predicting fatal outcomes in patients with coronavirus disease 2019 (COVID-19) impacts the general morbidity and mortality due to severe acute respiratory syndrome-coronavirus 2 infection, as it wears out the hospital services that care for these patients. Unfortunately, in several of the candidates for prognostic biomarkers proposed, the predictive power is compromised when patients have pre-existing comorbidities. A cohort of 147 patients hospitalized for severe COVID-19 was included in a descriptive, observational, single-center, and prospective study. Patients were recruited during the first COVID-19 pandemic wave (April-November 2020). Data were collected from the clinical history whereas immunophenotyping by multiparameter flow cytometry analysis allowed us to assess the expression of surface markers on peripheral leucocyte. Patients were grouped according to the outcome in survivors or non-survivors. The prognostic value of leucocyte, cytokines or HLA-DR, CD39, and CD73 was calculated. Hypertension and chronic renal failure but not obesity and diabetes were conditions more frequent among the deceased patient group. Mixed hypercytokinemia, including inflammatory (IL-6) and anti-inflammatory (IL-10) cytokines, was more evident in deceased patients. In the deceased patient group, lymphopenia with a higher neutrophil-lymphocyte ratio (NLR) value was present. HLA-DR expression and the percentage of CD39+ cells were higher than non-COVID-19 patients but remained similar despite the outcome. Receiver operating characteristic analysis and cutoff value of NLR (69.6%, 9.4), percentage NLR (pNLR; 71.1%, 13.6), and IL-6 (79.7%, 135.2 pg/mL). The expression of HLA-DR, CD39, and CD73, as many serum cytokines (other than IL-6) and chemokines levels do not show prognostic potential, were compared to NLR and pNLR values.
Subject(s)
COVID-19 , Humans , COVID-19/complications , Prospective Studies , Interleukin-6 , Pandemics , Prognosis , Biomarkers , Neutrophils , HLA-DR Antigens , Retrospective StudiesABSTRACT
BACKGROUND: Vaccination is the most effective intervention for reducing the burden of SARS-CoV-2-related disease; however, gaps in knowledge regarding cancer patients (CPs) immune response persist. OBJECTIVES: To evaluate the humoral response (anti-S antibodies) in CPs and healthcare workers (HCWs) vaccinated with two doses of BNT162b2 or AZD122 vaccines. MATERIAL AND METHODS: Polyspecific anti-SARS-CoV-2 spike protein (anti-S) antibodies were quantified, and a 1:1 propensity score was used to balance baseline characteristics. Multiple logistic regressions were carried out to evaluate the effect of humoral response-related variables. RESULTS: One-hundred and twenty-seven CPs (22%) and 439 HCWs (78%) were included. Both populations developed anti-S antibodies in response to vaccination. The mRNA-based vaccine (BNT162b2) was associated with higher odds of having anti-S antibody titers ≥ 1,000 U/mL, while active cancer was related to a lower probability of developing high antibody titers. CONCLUSIONS: The BNT162b2 vaccine was associated with a higher humoral response. It is necessary for more information and vaccination strategies to be available for immunosuppressed patients in order to select the best biologics for this population based on individual characteristics.
ANTECEDENTES: La vacunación es la intervención más efectiva para reducir la carga de enfermedad por SARS-CoV-2; sin embargo, persisten brechas en el conocimiento en relación con la respuesta inmunológica de los pacientes con cáncer (PC). OBJETIVOS: Evaluar la respuesta humoral (anticuerpos anti-S) en PC y trabajadores de salud (TS) vacunados con dos dosis de la vacuna BNT162b2 o AZD122. MATERIAL Y MÉTODOS: Se cuantificaron anticuerpos poliespecíficos contra la proteína de espiga de SARS-CoV-2 (anti-S) y se efectuó una puntuación de propensión 1:1 para equilibrar las características basales. Se realizaron regresiones logísticas múltiples para evaluar el efecto de las variables relacionadas con la respuesta humoral. RESULTADOS: Se incluyeron 127 PC (22 %) y 439 TS (78 %). Ambas poblaciones desarrollaron anticuerpos anti-S en respuesta a la vacunación. La vacuna de ARNm (BNT162b2) se asoció a mayor probabilidad de mostrar concentraciones de anticuerpos anti-S ≥ 1000 UI/mL, mientras que el cáncer activo se relacionó con menor probabilidad de presentar títulos altos de anticuerpos. CONCLUSIONES: La vacuna BNT162b2 se asoció a respuesta humoral mayor. Es necesario contar con más información y estrategias de vacunación en pacientes inmunosuprimidos. Es relevante la selección de los mejores biológicos para esta población y considerar las características individuales.
Subject(s)
COVID-19 , Neoplasms , Humans , Prevalence , BNT162 Vaccine , COVID-19/epidemiology , COVID-19/prevention & control , SARS-CoV-2 , Health PersonnelABSTRACT
Resumen Antecedentes: La vacunación es la intervención más efectiva para reducir la carga de enfermedad por SARS-CoV-2; sin embargo, persisten brechas en el conocimiento en relación con la respuesta inmunológica de los pacientes con cáncer (PC). Objetivos: Evaluar la respuesta humoral (anticuerpos anti-S) en PC y trabajadores de salud (TS) vacunados con dos dosis de la vacuna BNT162b2 o AZD122. Material y métodos: Se cuantificaron anticuerpos poliespecíficos contra la proteína de espiga de SARS-CoV-2 (anti-S) y se efectuó una puntuación de propensión 1:1 para equilibrar las características basales. Se realizaron regresiones logísticas múltiples para evaluar el efecto de las variables relacionadas con la respuesta humoral. Resultados: Se incluyeron 127 PC (22 %) y 439 TS (78 %). Ambas poblaciones desarrollaron anticuerpos anti-S en respuesta a la vacunación. La vacuna de ARNm (BNT162b2) se asoció a mayor probabilidad de mostrar concentraciones de anticuerpos anti-S ≥ 1000 UI/mL, mientras que el cáncer activo se relacionó con menor probabilidad de presentar títulos altos de anticuerpos. Conclusiones: La vacuna BNT162b2 se asoció a respuesta humoral mayor. Es necesario contar con más información y estrategias de vacunación en pacientes inmunosuprimidos. Es relevante la selección de los mejores biológicos para esta población y considerar las características individuales.
Abstract Background: Vaccination is the most effective intervention for reducing the burden of SARS-CoV-2-related disease; however, gaps in knowledge regarding cancer patients (CPs) immune response persist. Objectives: To evaluate the humoral response (anti-S antibodies) in CPs and healthcare workers (HCWs) vaccinated with two doses of BNT162b2 or AZD122 vaccines. Material and methods: Polyspecific anti-SARS-CoV-2 spike protein (anti-S) antibodies were quantified, and a 1:1 propensity score was used to balance baseline characteristics. Multiple logistic regressions were carried out to evaluate the effect of humoral response-related variables. Results: One-hundred and twenty-seven CPs (22 %) and 439 HCWs (78 %) were included. Both populations developed anti-S antibodies in response to vaccination. The mRNA-based vaccine (BNT162b2) was associated with higher odds of having anti-S antibody titers ≥ 1,000 U/mL, while active cancer was related to a lower probability of developing high antibody titers. Conclusions: The BNT162b2 vaccine was associated with a higher humoral response. It is necessary for more information and vaccination strategies to be available for immunosuppressed patients in order to select the best biologics for this population based on individual characteristics.
