To describe the clinical characteristics, laboratory results, imaging findings, and in-hospital outcomes of COVID-19 patients admitted to Brazilian hospitals. Methods: A cohort study of laboratory-confirmed COVID-19 patients who were hospitalized from March 2020 to September 2020 in 25 hospitals. Data were collected from medical records using Research Electronic Data Capture (REDCap) tools. A multivariate Poisson regression model was used to assess the risk factors for in-hospital mortality. Results: For a total of 2,054 patients (52.6% male; median age of 58 years), the in-hospital mortality was 22.0%; this rose to 47.6% for those treated in the intensive care unit (ICU). Hypertension (52.9%), diabetes (29.2%), and obesity (17.2%) were the most prevalent comorbidities. Overall, 32.5% required invasive mechanical ventilation, and 12.1% required kidney replacement therapy. Septic shock was observed in 15.0%, nosocomial infection in 13.1%, thromboembolism in 4.1%, and acute heart failure in 3.6%. Age >= 65 years, chronic kidney disease, hypertension, C-reactive protein ! 100 mg/dL, platelet count < 100 Â 10 9 /L, oxygen saturation < 90%, the need for supplemental oxygen, and invasive mechanical ventilation at admission were independently associated with a higher risk of in-hospital mortality. The overall use of antimicrobials was 87.9%. Conclusions: This study reveals the characteristics and in-hospital outcomes of hospitalized patients with confirmed COVID-19 in Brazil. Certain easily assessed parameters at hospital admission were independently associated with a higher risk of death. The high frequency of antibiotic use points to an over-use of antimicrobials in COVID-19 patients.

Objective:to estimate the incidence of surgical site infection in general surgeries at a large Brazilian hospital while identifying risk factors and prevalent microorganisms. Method:non-concurrent cohort study with 16,882 information of patients undergoing general surgery from 2008 to 2011. Data were analyzed by descriptive, bivariate and multivariate analysis. Results:the incidence of surgical site infection was 3.4%. The risk factors associated with surgical site infection were: length of preoperative hospital stay more than 24 hours; duration of surgery in hours; wound class clean-contaminated, contaminated and dirty/infected; and ASA index classified into ASA II, III and IV/V. Staphyloccocus aureus and Escherichia coli were identified. Conclusion:the incidence was lower than that found in the national studies on general surgeries. These risk factors corroborate those presented by the National Nosocomial Infection Surveillance System Risk Index, by the addition of the length of preoperative hospital stay. The identification of the actual incidence of surgical site infection in general surgeries and associated risk factors may support the actions of the health team in order to minimize the complications caused by surgical site infection.

Objectives The majority of available scores to assess mortality risk of coronavirus disease 19 (COVID-19) patients in the emergency department have high risk of bias. Therefore, our aim was to develop and validate a score at hospital admission for predicting in-hospital mortality in COVID-19 patients, and to compare this score with other existing ones. Methods Consecutive patients (≥18 years) with confirmed COVID-19 admitted to the participating hospitals were included. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients admitted between March-July, 2020. The model was validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients. Results Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, and in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. Seven significant variables were included in the risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO 2 /FiO 2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833 to 0.885]) and Spanish (0.894 [95% CI 0.870 to 0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.

A dermatite associada a incontinência (DAI) e lesão por pressão (LP) é dano que acomete a pele, principalmente de indivíduos hospitalizados em situações críticas. Esses eventos podem ter apresentação clínica semelhante, sendo fundamental que os profissionais de saúde saibam diferenciá-los. Este estudo visa avaliar o conhecimento da equipe de Enfermagem quanto à LP nos estágios 1 e 2 e da DAI em relação ao conceito, identificação, prevenção e tratamento. É pesquisa descritiva exploratória, transversal, com análise quantitativa, realizada com 76 profissionais de Enfermagem. Os dados foram coletados no mês de outubro de 2017 e foi realizada abordagem prévia com os profissionais para informá-los sobre a pesquisa e o questionário. O instrumento foi distribuído aos participantes durante o horário de trabalho, e estes o preencheram e retornaram aos pesquisadores. Foi aplicado questionário com questões sobre definição, avaliação e prevenção e tratamento da DAI e LP. O estudo revelou no teste de conhecimento que, entre as alterações cutâneas de DAI e LP, os acertos foram maiores naquelas questões sobre a DAI. Em relação à categoria avaliação, o índice de acertos foi próximo do médio (56,58%). Na categoria prevenção e tratamento, o maior percentual de acertos foi entre questões que envolviam a importância da capacitação dos profissionais e medidas de cuidados diretos ao paciente. Concluiu-se que, entre as afecções cutâneas DAI e LP nos estágios iniciais, os profissionais demonstraram menos conhecimento sobre a LP. Palavras-chave: Cuidados de Enfermagem; Lesão por Pressão; Dermatite das Fraldas; Incontinência Fecal; Incontinência Urinária; Conhecimento. ABSTR ACTIncontinence-associated dermatitis (IAD) and pressure injury (PI) are problems that affect the skin, especially in the case of hospitalized individuals in critical situations. These events may have a similar clinical presentation and it is essential that health professionals know how to differentiate them. This study aims to evaluate the knowledge of the nursing team about PI in stages 1 and 2 and of IAD regarding the concept, identification, prevention and treatment. This is a descriptive, exploratory, cross-sectional study with quantitative analysis performed with 76 nursing professionals. The data were collected in October 2017 and professionals were first approached to pass on information about the research and the questionnaire. The instrument was distributed to participants during working hours, and they filled it out and returned it to the researchers. The questionnaire applied had questions on definition, evaluation, prevention and treatment of IAD and PI. The study revealed that, with respect to skin changes caused by IAD and PI, the correct answers were more frequent in questions about IAD. Regarding evaluation, the rate of correct answers was close to the average (56.58%). In the prevention and treatment category, the highest percentage of correct answers was found in questions that referred to the importance of professional qualification and direct care ...

Objective: To develop and validate a rapid scoring system at hospital admission for predicting in-hospital mortality in patients hospitalized with coronavirus disease 19 (COVID-19), and to compare this score with other existing ones. Design: Cohort study Setting: The Brazilian COVID-19 Registry has been conducted in 36 Brazilian hospitals in 17 cities. Logistic regression analysis was performed to develop a prediction model for in-hospital mortality, based on the 3978 patients that were admitted between March-July, 2020. The model was then validated in the 1054 patients admitted during August-September, as well as in an external cohort of 474 Spanish patients. Participants: Consecutive symptomatic patients (≥18 years old) with laboratory confirmed COVID-19 admitted to participating hospitals. Patients who were transferred between hospitals and in whom admission data from the first hospital or the last hospital were not available were excluded, as well those who were admitted for other reasons and developed COVID-19 symptoms during their stay. Main outcome measures: In-hospital mortality Results: Median (25th-75th percentile) age of the model-derivation cohort was 60 (48-72) years, 53.8% were men, in-hospital mortality was 20.3%. The validation cohorts had similar age distribution and in-hospital mortality. From 20 potential predictors, seven significant variables were included in the in-hospital mortality risk score: age, blood urea nitrogen, number of comorbidities, C-reactive protein, SpO2/FiO2 ratio, platelet count and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829 to 0.859), which was confirmed in the Brazilian (0.859) and Spanish (0.899) validation cohorts. Our ABC2-SPH score showed good calibration in both Brazilian cohorts, but, in the Spanish cohort, mortality was somewhat underestimated in patients with very high (>25%) risk. The ABC2-SPH score is implemented in a freely available online risk calculator (https://abc2sph.com/). Conclusions: We designed and validated an easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation, for early stratification for in-hospital mortality risk of patients with COVID-19.