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Medicine and Health Sciences Commons

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Medical Education

2016

Aga Khan University

Predicting Mortality

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Full-Text Articles in Medicine and Health Sciences

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 May 2016

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 …