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
Summary
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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