Infective endocarditis: Epidemiology and prognosis

Os Melhores Artigos de 2022 nos Arquivos Brasileiros de Cardiologia e na Revista Portuguesa de Cardiologia

“…Nos últimos anos, alguns estudos têm mostrado uma alteração da epidemiologia da EI, sobretudo em países desenvolvidos. Em um estudo unicêntrico, publicado por Apolinário et al, 19 os autores pretenderam analisar a epidemiologia da EI ao longo de um período de 16 anos, de janeiro de 1998 a dezembro de 2013. Nesse estudo, observou-se que, ao longo do tempo, houve uma alteração do perfil de pacientes internados com EI, tendo ocorrido aumento da porcentagem de idosos, maior frequência de doença cardiovascular concomitante e aumento da proporção de pacientes com prótese valvular ou endocardite associada a dispositivos (18% no período anterior a 2008 versus 34,6% depois de 2008).…”

“…Recent studies have shown a change in the epidemiology of IE, especially in developed countries. In a single-center study, Apolinário et al 19 analyzed the epidemiology of IE over 16 years (January 1998 to December 2013), finding that the profile of hospitalized IE patients changed over time, with a higher percentage of older adults, a higher frequency of concomitant CVD, and a higher percentage of patients with prosthetic valves or device-related endocarditis (18% before 2008 vs. 34.6% after 2008). Staphylococcus aureus continued to be the most frequent agent, but Enterococcus infections increased over the study period.…”

“…18 High expression of SGK1 in thrombosis of acute ST-segment elevation myocardial infarction: based on proteomics analysis of intracoronary thrombosis DOI: 10.1016/j.repc.2021.02.023 https://www.revportcardiol.org/pt-high-expression-sgk1-in-thrombosis-articulo-S0870255122000233 Apolinário et al19 Infective endocarditis: Epidemiology and prognosis DOI: 10.1016/j.repc.2021.02.027 https://www.revportcardiol.org/pt-infective-endocarditis-epidemiology-prognosis-articulo-S0870255122000361 Menezes et al20 Development of deep learning segmentation models for coronary X-ray angiography: quality assessment by a new global segmentation score and comparison with human performance DOI: 10.1016/j.repc.2022.04.001 https://www.revportcardiol.org/pt-development-deep-learning-segmentation-models-articulo-S0870255122001354 Abreu et al21 Mechanical circulatory support in children: strategies, challenges and future directions DOI: 10.1016/j.repc.2021.03.011 https://www.revportcardiol.org/pt-mechanical-circulatory-support-in-children-articulo-S0870255121005230 Lanzas et al22 Training program in resuscitation maneuvers delivered by teachers in a school setting: an economic argument DOI: 10.1016/j.repc.2021.02.015 https://www.revportcardiol.org/pt-training-program-in-resuscitation-maneuvers-articulo-S0870255121003772 Hormigo et al23 Protocol-based cardiotoxicity monitoring in hydroxychloroquine medicated COVID-19 pediatric patients DOI: 10.1016/j.repc.2021.01.018 https://www.revportcardiol.org/pt-protocol-based-cardiotoxicity-monitoring-in-hydroxychloroquine-articulo-S0870255121004297 Artigo…”