Pronóstico del compromiso de médula ósea en pacientes con linfoma no Hodgkin Hospital Militar Bogotá

Los linfomas no Hodgkin pueden tener un comportamiento diferente de acuerdo a la presencia de compromiso tumoral en la médula ósea, sin embargo no todos los estudios han reportado hallazgos similares en este aspecto. No existen estudios en población latinoamericana sobre el valor pronóstico del compromiso de médula ósea en la sobrevida global

Impact of vaccination against COVID-19 on patients with cancer in ACHOC-C19 study: Real world evidence from one Latin American country

Introducción: Durante la pandemia, se ha recomendado que la vacunación contra COVID-19 sea una prioridad para los pacientes con cáncer; sin embargo, estos pacientes no se incluyeron en los estudios iniciales de evaluación de las vacunas disponibles. Objetivo: Definir el impacto de la vacunación contra COVID-19 en la prevención del riesgo de complicaciones asociadas a la infección en una cohorte de pacientes con cáncer en Colombia. Métodos: Se realizó un estudio observacional analítico de cohorte, basado en el registro nacional de pacientes con cáncer e infección por COVID 19 ACHOC-C19. Los datos se recolectaron desde junio de 2021, hasta octubre de 2021. Los criterios de inclusión fueron: Pacientes mayores de 18 años con diagnóstico de cáncer e infección confirmada por COVID-19. Se compararon los datos de las cohortes no vacunadas y vacunadas. Los resultados evaluados incluyeron mortalidad por todas las causas en los 30 días siguientes al diagnóstico de COVID-19, hospitalización y necesidad de ventilación mecánica. La estimación del efecto se realizó mediante el riesgo relativo (RR), la reducción absoluta del riesgo (RRA) y el número necesario a tratar (NNT). El análisis multivariante se realizó mediante modelos lineales generalizados. Resultados: Se incluyeron 896 pacientes, de los cuales 470 eran mayores de 60 años (52,4%) y el 59% eran mujeres (n=530). Se reclutaron 172 pacientes en la cohorte vacunada y 724 en la cohorte no vacunada (ratio: 1 a 4,2). La incidencia acumulada de resultados clínicos entre los pacientes no vacunados frente a los vacunados fue: para hospitalización 42% (IC 95%: 38,7%-46,1%) frente a 29%; (IC 95%: 22,4%-36,5%); para requerimiento de ventilación mecánica invasiva 8,4% (n=61) frente a 4,6% (n=8) y para mortalidad por todas las causas 17% (n=123) frente a 4,65% (n=8). Conclusiones: En nuestra población, los pacientes con cáncer no vacunados tienen un mayor riesgo de complicaciones por infección por COVID -19, como hospitalización, ventilación mecánica y mortalidad. Es muy recomendable promover activamente la vacunación entre esta población. El autor (es). Este es un artículo de acceso abierto distribuido bajo los términos de la Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). Consulte los términos y condicionesIntroduction: During the pandemic, it has been recommended that vaccination against COVID-19 be a priority for patients with cancer; however, these patients were not included in the initial studies evaluating the available vaccines. Objective: To define the impact of vaccination against COVID-19 in preventing the risk of complications associated with the infection in a cohort of patients with cancer in Colombia. Methods: An analytical observational cohort study, based on national registry of patients with cancer and COVID 19 infection ACHOC-C19, was done. The data was collected from June 2021, until October 2021. Inclusion criteria were: Patients older than 18 years with cancer diagnosis and confirmed COVID-19 infection. Data from the unvaccinated and vaccinated cohorts were compared. Outcomes evaluated included all-cause mortality within 30 days of COVID-19 diagnosis, hospitalization, and need for mechanical ventilation. The estimation of the effect was made through the relative risk (RR), the absolute risk reduction (ARR) and the number needed to treat (NNT). Multivariate analysis was performed using generalized linear models. Results: 896 patients were included, of whom 470 were older than 60 years (52.4%) and 59% were women (n=530). 172 patients were recruited in the vaccinated cohort and 724 in the non-vaccinated cohort (ratio: 1 to 4.2). The cumulative incidence of clinical outcomes among the unvaccinated vs vaccinated patients were: for hospitalization 42% (95% CI: 38.7%-46.1%) vs 29%; (95% CI: 22.4%-36.5%); for invasive mechanical ventilation requirement 8.4% (n=61) vs 4.6% (n=8) and for mortality from all causes 17% (n=123) vs 4.65% (n=8). Conclusion: In our population, unvaccinated patients with cancer have an increased risk of complications for COVID -19 infection, as hospitalization, mechanical ventilation, and mortality. It is highly recommended to actively promote the vaccination among this population. © The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions

Comparación plan de estudios programa administración de empresas Uniminuto y Columbus State University

Realizar comparaciones entre los modelos educativos enfocándonos en las asignaturas que se enseñan a los estudiantes de la Corporación Universitaria Minuto de Dios y Columbus State University (CSU), es un proceso que se inicia con el conocimiento de la malla curricular de las dos Universidades para intentar así, identificar cuáles serían las asignaturas con mayor similitud en Columbus, sin embargo los enfoques que se manejan son diferentes, teniendo en cuenta que la demanda y población a la cual se dirigen, por razones económicas, condiciones sociales y características de los estudiantes, como también el mercado laboral que ofrece el entorno

Comparación plan de estudios programa administración de empresas Uniminuto y Columbus State University

Realizar comparaciones entre los modelos educativos enfocándonos en las asignaturas que se enseñan a los estudiantes de la Corporación Universitaria Minuto de Dios y Columbus State University (CSU), es un proceso que se inicia con el conocimiento de la malla curricular de las dos Universidades para intentar así, identificar cuáles serían las asignaturas con mayor similitud en Columbus, sin embargo los enfoques que se manejan son diferentes, teniendo en cuenta que la demanda y población a la cual se dirigen, por razones económicas, condiciones sociales y características de los estudiantes, como también el mercado laboral que ofrece el entorno

Impact of COVID-19 infection on patients with Cancer: experience in a Latin American Country: The ACHOCC-19 Study

Introduction The ACHOCC-19 study was performed to characterize COVID-19 infection in a Colombian oncological population. Methodology Analytical cohort study of patients with cancer and COVID-19 infection in Colombia. From April 1 to October 31, 2020. Demographic and clinical variables related to cancer and COVID-19 infection were collected. The primary outcome was 30-day mortality from all causes. The association between the outcome and the prognostic variables was analyzed using logistic regression models and survival analysis with Cox regression. Results The study included 742 patients; 72% were >51 years. The most prevalent neoplasms were breast (132, 17.77%), colorectal (92, 12.34%), and prostate (81, 10.9%). Two hundred twenty (29.6%) patients were asymptomatic and 96 (26.3%) died. In the bivariate descriptive analysis, higher mortality occurred in patients who were >70 years, patients with lung cancer, ≥2 comorbidities, former smokers, receiving antibiotics, corticosteroids, and anticoagulants, residents of rural areas, low socioeconomic status, and increased acute-phase reactants. In the logistic regression analysis, higher mortality was associated with Eastern Cooperative Oncology Group performance status (ECOG PS) 3 (odds ratio [OR] 28.67; 95% confidence interval [CI], 8.2–99.6); ECOG PS 4 (OR 20.89; 95% CI, 3.36–129.7); two complications from COVID-19 (OR 5.3; 95% CI, 1.50–18.1); and cancer in progression (OR 2.08; 95% CI, 1.01–4.27). In the Cox regression analysis, the statistically significant hazard ratios (HR) were metastatic disease (HR 1.58; 95% CI, 1.16–2.16), cancer in progression (HR 1.08; 95% CI, 1.24–2.61) cancer in partial response (HR 0.31; 95% CI, 0.11–0.88), use of steroids (HR 1.44; 95% CI, 1.01–2.06), and use of antibiotics (HR 2.11; 95% CI, 1.47–2.95). Conclusion In our study, patients with cancer have higher mortality due to COVID-19 infection if they have active cancer, metastatic or progressive cancer, ECOG PS >2, and low socioeconomic status. Implications for Practice This study's findings raise the need to carefully evaluate patients with metastatic cancer, in progression, and with impaired Eastern Cooperative Oncology Group status to define the relevance of cancer treatment during the pandemic, consider the risk/benefit of the interventions, and establish clear and complete communication with the patients and their families about the risk of complications. There is also the importance of offering additional support to patients with low income and residence in rural areas so that they can have more support during cancer treatment

Application of Comprehensive Genomic Profiling-Based Next-Generation Sequencing Assay to Improve Cancer Care in a Developing Country

Purpose Identifying actionable oncogenic mutations have changed the therapeutic landscape in different types of tumors. This study investigated the utility of comprehensive genomic profiling (CGP), a hybrid capture-based next-generation sequencing (NGS) assay, in clinical practice in a developing country. Methods In this retrospective cohort study, CGP was performed on clinical samples from patients with different solid tumors recruited between December 2016 and November 2020, using hybrid capture-based genomic profiling, at the individual treating physicians’ request in the clinical care for therapy decisions. Kaplan–Meier survival curves were estimated to characterize the time-to-event variables. Results Patients median age was 61 years (range: 14–87 years), and 64.7% were female. The most common histological diagnosis was lung primary tumors, with 90 patients corresponding to 52.9% of the samples (95% CI 45.4-60.4%). Actionable mutations with FDA-approved medications for specific alterations correspondent to tumoral histology were identified in 58 cases (46.4%), whereas other alterations were detected in 47 different samples (37.6%). The median overall survival was 15.5 months (95% CI 11.7 months-NR). Patients who were subjected to genomic evaluation at diagnosis reached a median overall survival of 18.3 months (95% CI 14.9 months-NR) compared to 14.1 months (95% CI 11.1 months-NR) in patients who obtained genomic evaluation after tumor progression and during standard treatment ( P = .7). Conclusion CGP of different types of tumors identifies clinically relevant genomic alterations that have benefited from targeted therapy and improve cancer care in a developing country to guide personalized treatment to beneficial outcomes of cancer patients