ABSTRACT
Background: In our experience during the first year of development of ACHOC-C19 study, we observed 26% mortality in patients with cancer and COVID 19 infection. The impact of vaccination was not evaluated prior to the implementation of this strategy worldwide in this kind of population. It was proposed to evaluate the effectiveness of immunization during the second phase of our investigation. Methods: Cohort study derived from the National Registry of Patients with Cancer and COVID-19 (ACHOCC-19). Data were collected from June 2021 since vaccine was available. Patients were: older than 18 years, diagnosed with cancer (solid tumors), treated and/or under follow-up, and with COVID-19 infection. The comparative analysis of the vaccinated and non-vaccinated cohort is presented. Outcomes included: all-cause mortality within 30 days of infection diagnosis, hospitalization, and mechanical ventilation. Effect estimation was performed through relative risk (RR) and multivariate analysis for each event, using generalized linear models of the binomial family. Results: 896 patients were included, 470 were older than 60 years (52.4%) and 59% 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 hospitalization among the unvaccinated was 42.4% (n = 307), and among the vaccinated, 29% (n = 50);invasive mechanical ventilation requirement was 8.4% (n = 61) in unvaccinated, and 4.6% (n = 8) in vaccinated. The cumulative incidence of mortality from all causes in the unvaccinated was 17% (n = 123) and in the vaccinated 4.65% (n = 8). Table summarizes the multivariate analysis. The adjusted RR for mortality for the unvaccinated is 3.4 (95% CI: 1.7-6.8), for hospitalization 1.36 (95% CI: 1.08-1.72), and for mechanical ventilation 2.1 (95% CI: 1.02-4.2). Conclusions: The incidence of complications and death in patients with cancer and COVID-19 infection is significantly higher in those who have not received a vaccination schedule compared to those who have been vaccinated. Immunization should be promoted and intensified in this population group.
ABSTRACT
This article analyzes the digital communication of Médecins Sans Frontières (MSF) during its intervention in Spain due to the emergency caused by COVID-19. Using content analysis techniques, the text engages with a number of the messages posted on the MSF website, emails sent to partners and publications on Facebook and Twitter. The material (a total 58 messages) is categorized by subject, sender, format, and objective, as well as the presence of informative or emotional approaches. Complementarily, items such as intensity, positive or negative undertones and the terms most frequently used are also examined. Our conclusion points towards the use of digital communication with a view to reinforce MSF's public image as an entity specialized in health care in emergency situations. The unprecedented intervention in Spain during the COVID-19 crisis has also shown MSF to be accountable to its audiences, showing how the organization usually works in other countries. © 2021, Rey Juan Carlos University. All rights reserved.
ABSTRACT
Background: There are not specific information about otucomes of COVID-19 infection in patients with breast cancer. We aimed to describe the outcomes in this population in our national cohort of patients with cancer and infection for COVID-19. Methods: ACHOCC-19B registry is a multicenter observational study composed of a cross-sectional and a prospective cohort component. Eligibility criteria were the diagnosis of breast cancer and COVID-19 infection confirmed with RT-PCR. Follow-up of 30 days was completed. Clinical data were extracted of the multicentric register of cancer and covid-19 in Colombia (ACHOCC-19), collected from Apr 1 until Oct 31, 2020. The primary outcome was 30-day mortality from all causes and secondary outcome was asymptomatic disease. Associations between demographic or clinical characteristics and outcomes were measured with odds ratios (ORs) with 95% CIs using multivariable logistic regression. Results: 132 patients were included(18,5% of global ACHOCC-19 cohort). 18,2% died and 25,8% was asymptomatic. In relation to the patients who died vs did not died, 68 vs 66% were > 50 years, 20 vs 10,2% with obesity, 32 vs 51,4% without comorbidities: 24 vs 12% with Diabetes, 56 vs 29% arterial Hypertension, 17,75 vs 3.88% ECOG >2, 50 vs 12,5% progressive cancer, 20 vs 5,6% bacterial coinfection, 65 vs 25,2% received antibiotic and 68 vs 19% steroids for Covid-19 infection. 11.3% had severe infection and received ventilatory support and 66% died. About the asymptomatic patients 74% were > 50 years, 2,9% had obesity, 56% without comorbidities, 56% with ECOG 0 and 17,6% had metastatic disease. In the logistic regression analysis, age > 50 years (OR 2,7 95% 0,54-13,81), >2 comorbidities (OR 3,48 95% 0,26-45,71), progressive disease (OR 3,52 95% 0,47-26,57), steroids (OR 6,62 95% 1,5-26,6) and antibiotic treatment for Covid19 (OR 6,88 95% 1,60-29,76) behaved as a risk factors for mortality, but only steroids and antibiotic was statistically significant. Conclusions: In our study, breast cancer patients have high mortality by Covid-19 infection. Age, comorbidities, ECOG >2, progressive disease, and use of antibiotic and steroids are factors for worse prognosis. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.
ABSTRACT
Background: Cancer has been described as a risk factor for worse prognosis in people with Covid-19. However, there are few studies informing on the characteristics of cancer patients that have asymptomatic SARS-cov2 infection. The ACHOCC-19 study included asymptomatic patients. Methods: Analytical cohort study of patients with cancer and SARScov2 infection in Colombia. From April 1 to October 31, 2020, we collected data on demographic and clinical variables related to cancer and COVID-19 infection. We describe the characteristics and outcomes of patients who had no symptoms of COVID19. Association between outcomes and prognostic variables was analyzed using logistic regression models. Results: We included 742 patients, of which 205 (27.6%) were asymptomatic. Of these 62.2% were older than 61 years, 66% were women, 1.42% were smokers. The most frequent malignancy was breast cancer (25%), followed by colon-rectum (14.6%), sarcoma/soft tissues (5.66%) and lung cancer (5.19%). Patients were more likely to be asymptomatic if they had fewer comorbidities (0-1 comorbidities: 84% asymptomatic, 2 comorbidities: 10.85%, more than 2 comorbidities: 5.15%). 90.5% lived in urban areas and 53.37% had low income. 35.4% of patients had metastatic disease, 8.7% had progressive cancer, 40% had stable disease or partial response. No patient had an ECOG PS of 4 or more, and only 1.91% had ECOG 3. In logistic regression analysis statistically significant associations for having symptomatic disease included: man, presence of 1, 2 or > 2 comorbidities, ECOG 1,2 or 3 and cancer in progression. On the other hand, the statistically significant ORs for having asymptomatic disease were age between 18 and 30 years old, cancer in remission and receiving non-cytotoxic treatment. Table sumarizes ORs and their respective 95% CIs of the variables adjusted in the logistic regression model. Conclusions: In our stumdy, cancer patients had a higher probability of asymptomatic COVID-19 infection if they were women, between the ages of 18 and 30 years, had cancer in remission , ECOG 0 and no comorbidities. This is the first cohort of patients with cancer and asymptomatic covid 19 with a significant sample size in Latin America.
ABSTRACT
Introduction It is known that cancer care is best approached by a multidisciplinary team (MDT). This became specifically true in the Covid-19 pandemic in which choices for urological cancer treatment are influenced by many factors. In some cases, delayed treatment may have consequences regarding the patient's oncological outcomes. The aim of the present article is to report our experience throughout the Covid-19 pandemic treating patients with urological neoplasms at a high-volume center. Methods We used a convenience sampling method. Cases were evaluated and discussed on an individual basis at the MDT meetings, and, after a consensus regarding delaying or scheduling treatment, patients were scheduled according to the risk of postponing the procedures. The Medically Necessary, Time-Sensitive (MeNTS) scoring system was measured in each patient;all patients answered the Centers for Disease Control and Prevention (CDC) Covid-19 self-screening questionnaire prior to surgery. The Covid-19-free survival rate was estimated. Results A total of 194 patients were assessed by the multidisciplinary team and finally treated, with median follow-up of 4 (interquartile range [IQR]: 2.75 to 6) months. Only two patients had Covid-19 confirmed by real-time polymerase chain reaction (RT-PCR). In total, 54 patients underwent oncological surgery, 129 were treated with radiotherapy, and 11 were treated with intravenous chemotherapy. The median age was 66 years (IQR: 59 to 94 years), and the median MeNTS score in the surgically-treated cohort was 35 points (IQR: 31 to 47 points). Conclusions The evaluation and treatment of urological cancer should be conducted by an MDT;this is of utmost importance, especially during the Covid-19 pandemic. The data collected in our institution showed that most patients could be safely treated by taking all necessary precautions and discussing each case individually in the MDT meetings and performing a close follow-up.