Predicción del comportamiento de la resistencia de Escherichia coli a Imipenem y Meropenem, utilizando un modelo simple de regresión matemática

To determine the trend of bacterial resistance of Escherichia coli to Imipenem (IPM) and Meropenem (MEM) by means of a linear regression model, taking the information collected in the bulletins of bacterial resistance generated by the GREBO group of Bogotá between 2010 and 2014. Methods/Statistical Analysis: From the information published innewsletters GREBO group between 2010 and 2014, the behavior of E. coli bacterial resistance to antibiotics was analyzed.From this information simple linear regression models using the statistical software Statgraphics XVI were generated.Determinar la tendencia de la resistencia bacteriana de Escherichia coli a Imipenem (IPM) y Meropenem (MEM) mediante un modelo de regresión lineal, tomando la información recopilada en los boletines de resistencia bacteriana generados por el grupo GREBO de Bogotá entre 2010 y 2014. Métodos / Análisis estadístico: A partir de la información publicada en los boletines informativos del grupo GREBO entre 2010 y 2014, se analizó el comportamiento de la resistencia bacteriana de E. coli a los antibióticos. A partir de esta información, se generaron modelos de regresión lineal simple utilizando el software estadístico Statgraphics XVI

Predicción del comportamiento de la resistencia de Escherichia coli a Imipenem y Meropenem, utilizando un modelo simple de regresión matemática

Objectives: To determine the trend of bacterial resistance of Escherichia coli to Imipenem (IPM) and Meropenem (MEM), by means of a linear regression model, taking the information collected in the bulletins of bacterial resistance generated by the GREBO group of Bogotá between 2010 and 2014. Methods/Statistical Analysis: From the information published in newsletters GREBO group between 2010 and 2014, the behavior of E. coli bacterial resistance to antibiotics was analyzed. From this information simple linear regression models using the statistical software Statgraphics XVI were generated. Findings: The generated mathematical models to predict the evolution of antibiotic resistance as a function of time and that were significant are: Resistance IPM * Year = 0.00000208772 (p value 0.0020; adjusted R2 = 92.86%); Resistance MEM = 0.00000149115 * Year (p value 0.0026; adjusted R2 = 91.84%). Application/Improvements: There is a relationship between the values of resistance and over the years, with variable time sufficient to explain the behavior of the resistance of E. coli variable. In 2015 IPM resistance is estimated that this in 0.42% (CI 0.02% - 0.8%) and MEM 0.3% (CI 0.17% - 0.42%).Objetivos: Determinar la tendencia de la resistencia bacteriana de Escherichia coli a Imipenem (IPM) y Meropenem (MEM), mediante un modelo de regresión lineal, tomando la información recolectada en los boletines de resistencia bacteriana generados por el grupo GREBO de Bogotá entre 2010. y 2014. Métodos / Análisis estadístico: a partir de la información publicada en los boletines informativos del grupo GREBO entre 2010 y 2014, se analizó el comportamiento de la resistencia bacteriana de E. coli a los antibióticos. A partir de esta información, se generaron modelos simples de regresión lineal utilizando el software estadístico Statgraphics XVI. Resultados: Los modelos matemáticos generados para predecir la evolución de la resistencia a los antibióticos en función del tiempo y que fueron significativos son: Resistencia IPM * Año = 0.00000208772 (valor de p 0.0020; R2 ajustado = 92.86%); Resistencia MEM = 0.00000149115 * Año (valor de p 0.0026; R2 ajustado = 91.84%). Aplicación / Mejoras: Existe una relación entre los valores de resistencia y los años, con tiempo variable suficiente para explicar el comportamiento de la variable de resistencia de E. coli. En 2015, se estima que la resistencia a IPM es de 0,42% (IC 0,02% - 0,8%) y MEM 0,3% (IC 0,17% - 0,42%)

Predicting of behavior of escherichia coli resistance to Imipenem and Meropenem, using a simple mathematical model regression

Objectives: To determine the trend of bacterial resistance of Escherichia coli to Imipenem (IPM) and Meropenem (MEM), by means of a linear regression model, taking the information collected in the bulletins of bacterial resistance generated by the GREBO group of Bogotá between 2010 and 2014. Methods/Statistical Analysis: From the information published in newsletters GREBO group between 2010 and 2014, the behavior of E. coli bacterial resistance to antibiotics was analyzed. From this information simple linear regression models using the statistical software Statgraphics XVI were generated. Findings: The generated mathematical models to predict the evolution of antibiotic resistance as a function of time and that were significant are: Resistance IPM * Year = 0.00000208772 (p value 0.0020; adjusted R2 = 92.86%); Resistance MEM = 0.00000149115 * Year (p value 0.0026; adjusted R2 = 91.84%). Application/Improvements: There is a relationship between the values of resistance and over the years, with variable time sufficient to explain the behavior of the resistance of E. coli variable. In 2015 IPM resistance is estimated that this in 0.42% (CI 0.02% - 0.8%) and MEM 0.3% (CI 0.17% - 0.42%)