Abstract

ObjectiveTo define a core dataset for intensive care unit (ICU) patients outcome prediction in Iran. This core data set will lead us to design ICU outcome prediction models with the...

Highlights

  • The burden of critical illness is high worldwide, including in the developing countries.[1,2] Not surprisingly, there has been a resurgence of interest in critical care medicine in these countries.[3]

  • intensive care unit (ICU) patients in the developing countries have a higher proportion of young adults and are more likely to be suffering from trauma and infectious illnesses, such as sepsis

  • The Iranian outcome prognostic core dataset was designed for developing a nationwide prognostic model to predict ICU mortality and length of stay

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Summary

Introduction

The burden of critical illness is high worldwide, including in the developing countries.[1,2] Not surprisingly, there has been a resurgence of interest in critical care medicine in these countries.[3] interventions that have been shown to benefit critically ill patients in the developed countries may not be translated into intensive care settings in the developing countries[3]; certain interventions may not benefit critically ill patients in these countries or may even cause harm.[3]. There have been hardly any prospective studies with high quality, testing clinical scoring systems in critically ill patients in the developing countries.[4] Those studies reported poor validation of clinical scoring systems, but have not explored a new model or approach. The data which should be collected to manage the patients and make decision might be different.[6]

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