Dermatological diseases of compulsory notification in Brazil

A estruturação do Sistema Nacional de Vigilância Epidemiológica do Brasil, em 1975, tornou obrigatória a notificação de algumas doenças transmissíveis com o objetivo de reduzir a carga destes eventos no país. Entretanto, as alterações no perfil epidemiológico destas doenças, associadas a características da sociedade contemporânea, determinam a constante adequação das atividades de vigilância a este cenário. Neste manuscrito, são descritos epidemiologia, tendências e diagnóstico diferencial das seguintes doenças dermatológicas de notificação compulsória no Brasil: aids, dengue, hanseníase, leishmaniose tegumentar americana, sarampo, rubéola e síndrome da rubéola congênita e sífilis. Também são apresentados os principais desafios atuais para o controle e prevenção para cada uma dessas doenças no BrasilThe development of a Brazilian National Surveillance System in 1975 led to a compulsory reporting of selected infectious diseases aiming to reduce the burden of these events in the country. However, shifts in the epidemiology of these diseases associated with modern life style, demand constant revision of surveillance activities. In this manuscript we present the epidemiology, trends and differential diagnosis of the following compulsory notifiable diseases in Brazil: Aids, dengue fever, hanseniasis, American tegumentary leishmaniasis, measles, rubella and congenital rubella syndrome and syphilis. Additionally, the current challenges for control and prevention of each disease are presente

Doenças dermatológicas de notificação compulsória no Brasil Dermatological diseases of compulsory notification in Brazil

A estruturação do Sistema Nacional de Vigilância Epidemiológica do Brasil, em 1975, tornou obrigatória a notificação de algumas doenças transmissíveis com o objetivo de reduzir a carga destes eventos no país. Entretanto, as alterações no perfil epidemiológico destas doenças, associadas a características da sociedade contemporânea, determinam a constante adequação das atividades de vigilância a este cenário. Neste manuscrito, são descritos epidemiologia, tendências e diagnóstico diferencial das seguintes doenças dermatológicas de notificação compulsória no Brasil: aids, dengue, hanseníase, leishmaniose tegumentar americana, sarampo, rubéola e síndrome da rubéola congênita e sífilis. Também são apresentados os principais desafios atuais para o controle e prevenção para cada uma dessas doenças no Brasil<br>The development of a Brazilian National Surveillance System in 1975 led to a compulsory reporting of selected infectious diseases aiming to reduce the burden of these events in the country. However, shifts in the epidemiology of these diseases associated with modern life style, demand constant revision of surveillance activities. In this manuscript we present the epidemiology, trends and differential diagnosis of the following compulsory notifiable diseases in Brazil: Aids, dengue fever, hanseniasis, American tegumentary leishmaniasis, measles, rubella and congenital rubella syndrome and syphilis. Additionally, the current challenges for control and prevention of each disease are presente

ABC₂-SPH risk score for in-hospital mortality in COVID-19 patients

Objectives: The majority of available scores to assess mortality risk of coronavirus disease 2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore, this cohort aimed 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 (25–75th 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, SpO2/FiO2 ratio, platelet count, and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829–0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833–0.885]) and Spanish (0.894 [95% CI 0.870–0.919]) 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: An easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation was designed and validated for early stratification of in-hospital mortality risk of patients with COVID-19.</p

ABC-SPH risk score for in-hospital mortality in COVID-19 patients : development, external validation and comparison with other available scores

The majority of available scores to assess mortality risk of coronavirus disease 2019 (COVID-19) patients in the emergency department have high risk of bias. Therefore, this cohort aimed 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. 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. Median (25-75th 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/FiO ratio, platelet count, and heart rate. The model had high discriminatory value (AUROC 0.844, 95% CI 0.829-0.859), which was confirmed in the Brazilian (0.859 [95% CI 0.833-0.885]) and Spanish (0.894 [95% CI 0.870-0.919]) validation cohorts, and displayed better discrimination ability than other existing scores. It is implemented in a freely available online risk calculator (https://abc2sph.com/). An easy-to-use rapid scoring system based on characteristics of COVID-19 patients commonly available at hospital presentation was designed and validated for early stratification of in-hospital mortality risk of patients with COVID-19