Piomiositis pectoral por Staphylococcus aureus

La piomiositis es una infección bacteriana espontánea de los músculos esqueléticos, que no es secundaria a una infección de tejidos contíguos (piel, huesos, etc.). Existen diversos factores predisponentes para la misma, que incluyen la diabetes mellitus, neoplasias, conectivopatías, infección por virus de la inmunodeficiencia humana, o cirugía/traumatismos previos. En un tercio de los casos no existe un factor predisponente. Dada su relativa poca frecuencia, su diagnóstico puede retrasarse si no existe un alto grado de sospecha clínica. Se presenta un caso de piomiositis de músculo pectoral mayor

Multivariate analysis in thoracic research

Multivariate analysis is based in observation and analysis of more than one statistical outcome variable at a time. In design and analysis, the technique is used to perform trade studies across multiple dimensions while taking into account the effects of all variables on the responses of interest. The development of multivariate methods emerged to analyze large databases and increasingly complex data. Since the best way to represent the knowledge of reality is the modeling, we should use multivariate statistical methods. Multivariate methods are designed to simultaneously analyze data sets, i.e., the analysis of different variables for each person or object studied. Keep in mind at all times that all variables must be treated accurately reflect the reality of the problem addressed. There are different types of multivariate analysis and each one should be employed according to the type of variables to analyze: dependent, interdependence and structural methods. In conclusion, multivariate methods are ideal for the analysis of large data sets and to find the cause and effect relationships between variables; there is a wide range of analysis types that we can use