Avaliação da depressão miocárdica por meio do feature tracking bidimensional em cadelas com sepse

• Autor(a) principal: Figueiredo, V. C.
• Data de Publicação: 2016
• Outros Autores: Muzzi, Ruthnea Aparecida Lazaro, Pereira, C. S., Mantovani, M. M., Muzzi, Leonardo Augusto Lopes, Oberlender, G., Lacreta Junior, Antonio Carlos Cunha, Arruda, P. M.
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/29913
• topic: Cão; Disfunção miocárdica; Ecocardiografia; Strain; Strain rate; Dog; Myocardial dysfunction; Echocardiography

The aim of this prospective study was to analyze the left ventricular function of dogs who had sepsis or not and diagnose myocardial depression early on through the two-dimensional feature tracking imaging (2D-FTI). Twenty-nine dogs diagnosed with pyometra, a pathology used as an experimental model for sepsis were evaluated. The animals were subjected to conventional echocardiography and 2D-FTI, and divided into three groups: Group I (control), group II (sepsis pyometra) and group III (no sepsis pyometra). Regarding the parameters of conventional echocardiography, there was no statistical difference between the groups. As for the radial Strain, group II and III had lower ventricular function at diagnosis (22.805.80 Group I; 18.455.96 Group II; 18.719.45 Group III; P = 0.032) and group III maintained this reduction in return. Regarding the radial Strain rate, only the III group had lower ventricular function at diagnosis (1.900.57 Group I; 1.910.70 Group II, 1.570.53 Group III; P = 0.021). For the Longitudinal Strain we observed lower ventricular function in groups II and III at diagnosis (11.043.38 Group I, Group II 8.593.97, 8.211.99; P = 0.048) and ten days after surgery (11.043.38 Group I; 9.002.16 Group II; 8.122.27 Group III; P = 0.048). The 2D-FTI was able to detect early changes in left ventricular function, suggesting myocardial depression frame, even in female dogs with pyometra without clear clinical picture of sepsis, which were not seen in conventional echocardiography. Thus, this model can be useful in diagnosis, because it can detect early cardiac changes, enabling a rapid therapeutic intervention.