Predicting outcomes in critically ill patients in a resource-poor setting: the Rwanda Mortality Probability Model Academic Article uri icon

abstract

  • Methods We prospectively collected data on 339 adult patients admitted to two ICUs in Rwanda between August 2013 and July 2014. We described demographic and presenting characteristics and outcomes. We assessed the discrimination and calibration of the MPMo- III model. Using stepwise selection, we then developed a new logistic model for mortality prediction, the R-MPM. Results Patient median age was 34 (IQR 26 to 49) years; 48.7% were male. Mortality was 50.3%. The variables most predictive of mortality in univariate …

publication date

  • March 16, 2015