Resumo Fundamento: A síndrome de Brugada é um distúrbio arritmogênico hereditário caracterizado pela presença de características eletrocardiográficas específicas com ou sem sintomas. Os pacientes apresentam risco aumentado de morte súbita por fibrilação ventricular. A prevalência desse padrão eletrocardiográfico difere de acordo com a região estudada. Porém, informações epidemiológicas, incluindo a população brasileira, são escassas. Objetivo: Avaliar a prevalência do padrão eletrocardiográfico da síndrome de Brugada e o perfil epidemiológico associado a ela. Métodos: Estudo transversal que incluiu 846.533 registros ECG de 716.973 pacientes do banco de dados de eletrocardiograma (ECG) da Rede de Telemedicina de Santa Catarina por um período de quatro anos. Todos os exames foram ECG de 12 derivações convencionais (sem V1 e V2 em posições altas). Os exames identificados com o diagnóstico de “Síndrome de Brugada” (tipos 1 e 2) foram revisados por um eletrofisiologista. Foram considerados significativos valores de p<0,05. Resultados: Apresentavam padrão potencialmente consistente com ECG do tipo Brugada 83 pacientes. Destes, 33 foram confirmados com padrão de Brugada tipo 1, e 22 com tipo 2, após reavaliação. A prevalência de ECG do tipo 1 de Brugada foi de 4,6 por 100.000 pacientes. O ECG do tipo Brugada 1 foi associado ao sexo masculino (81,8% vs. 41,5%, p<0,001) e menor prevalência de obesidade (9,1% vs. 26,4%, p=0,028). Conclusões: Este estudo mostrou baixa prevalência de ECG do tipo Brugada no sul do Brasil. A presença de ECG com padrão Brugada tipo 1 esteve associada ao sexo masculino e menor prevalência de obesidade que a população geral.

Abstract Background: Brugada Syndrome is an inherited arrhythmogenic disorder characterized by the presence of specific electrocardiographic features with or without clinical symptoms. The patients present increased risk of sudden death due to ventricular fibrillation. The prevalence of this electrocardiographic pattern differs according to the studied region. However, epidemiological information including the Brazilian population is scarce. Objectives: To assess the prevalence of the electrocardiographic pattern of Brugada syndrome and the epidemiological profile associated with it. Methods: Cross-sectional study that included 846,533 ECG records of 716,973 patients from the electrocardiogram (ECG) database from the Santa Catarina Telemedicine Network over a 4-year period. All tests were 12-lead conventional ECG (without V1 and V2 in high positions). The tests revealing “Brugada Syndrome” diagnosis (Types 1 and 2) were reviewed by a cardiac electrophysiologist. The level of significance was set at p<0.05. Results: In total, 83 patients had a pattern potentially consistent with Brugada-type pattern ECG. Of these, 33 were confirmed having Brugada-type 1, and 22 with type 2 ECG after reevaluation. The prevalence of Brugada-type 1 ECG was 4.6 per 100,000 patients. Brugada-type 1 ECG was associated with the male gender (81.8% vs. 41.5%, p<0.001) and a lower prevalence of obesity diagnosis (9.1% vs. 26.4%, p=0.028). Conclusions: This study showed low prevalence of Brugada-type ECG in Southern Brazil. The presence of Brugada-type 1 ECG was associated with the male gender and lower prevalence of obesity diagnosis comparing to the general population.

BACKGROUND: Telemedicine refers to the use of technology as improvement of healthcare delivery to places where distance becomes an obstacle. Its use represents a great potential for dermatology, a specialty whose visual analysis phase is essential in diagnosis. OBJECTIVES: To analyze the compatibility index of skin cancer diagnoses between primary care and teledermatology, and to validate a protocol for standardization of digital imaging to obtain the reports in teledermatology. METHODS: An observational cross-sectional study developed through the census of 333 examination requests, received between January/2012 and July/2012, in the Center for Telemedicine and Telehealth of SES-SC. We used a protocol for photographic lesion standardization, consisting of three steps (panoramic photo, close-up with ruler and dermoscopy). After collection, the data were sent to a virtual site on the Internet, and recorded with the use of an electronic health record containing the images, the skin phototype and demographic characteristics. RESULTS: The level of compatibility between the diagnosis of skin cancer in Santa Catarina's primary care and the diagnosis proposed by teledermatology was 19.02%. Proportionally, it was 21.21% for BCC, 44.44% for SCC and 6.98% for MM. The protocol was statistically significant (p <0.05), with an OR of 38.77. CONCLUSION: The rate of diagnostic compatibility of skin cancer was low and the use of the protocol optimized the chance of validating requests for examination.