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Predicting Mortality In Low-Income Country Icus: The Rwanda Mortality Probability Model (R-Mpm), Elisabeth D. Riviello, Willy Kiviri, Robert A. Fowler, Ariel Mueller, Victor Novack, Valerie M. Banner-Goodspeed, Julia L. Weinkauf, Daniel S. Talmor, Theogene Twagirumugabe
Predicting Mortality In Low-Income Country Icus: The Rwanda Mortality Probability Model (R-Mpm), Elisabeth D. Riviello, Willy Kiviri, Robert A. Fowler, Ariel Mueller, Victor Novack, Valerie M. Banner-Goodspeed, Julia L. Weinkauf, Daniel S. Talmor, Theogene Twagirumugabe
Faculty of Health Sciences, East Africa
Introduction
Intensive Care Unit (ICU) risk prediction models are used to compare outcomes for quality improvement initiatives, benchmarking, and research. While such models provide robust tools in high-income countries, an ICU risk prediction model has not been validated in a low-income country where ICU population characteristics are different from those in high- income countries, and where laboratory-based patient data are often unavailable. We sought to validate the Mortality Probability Admission Model, version III (MPM 0-III) in two public ICUs in Rwanda and to develop a new Rwanda Mortality Probability Model (R-MPM) for use in low-income countries.
Methods
We prospectively collected …