the pediatric risk of mortality (prism) score is a measure of illness severity based on abnormalities observed on bedside examination and laboratory assessment at pediatric intensive care unit (picu) admission to predict mortality probability. our study was performed on 205 patients who were admitted to picu of children’s medical center (cmc) over a period of 6 months.data were recorded prospec...

introduction: using physiologic scoring systems for identifying high-risk patients for mortality has been considered recently. this study was designed to evaluate the values of acute physiology and chronic health evaluation ii (apache ii) and simplified acute physiologic score (saps ii) models in prediction of 1-month mortality of critically ill patients. methods: the present prospective cross ...

introduction: awareness about the outcome of trauma patients in the emergency department (ed) has become a topic of interest. accordingly, the present study aimed to compare the rapid trauma score (rts) and worthing physiological scoring system (wpss) in predicting in-hospital mortality and poor outcome of trauma patients. methods: in this comparative study trauma patients brought to five eds i...

Abstract We propose a new neighbouring prediction model for mortality forecasting. For each rate at age x in year t , m x,t we construct an image of neighbourhood data around that is, Ꜫ ( 1 2 s ), which includes information ages [ - + ], lagging k years (1 ≤ ). Combined with the deep learning – convolutional neural network, this framework is able to capture intricate nonlinear structure data: e...

early prediction of ongoing hemorrhage may reduce mortality via the earlier delivery of blood products, adequate orientation of the patient in a dedicated highly specialized and trained infrastructure, and by earlier correction of acute traumatic coagulopathy. we identified 14 scores or algorithms developed for the prediction of ongoing hemorrhage and the need for massive transfusion in severe ...

Background: Early outcome prediction of hospitalized patients is critical because the intensivists are constantly striving to improve patients' survival by taking effective medical decisions about ill patients in Intensive Care Units (ICUs). Despite rapid progress in medical treatments and intensive care technology, the analysis of outcomes, including mortality prediction, has been a challenge ...

Background: The Trauma is one of the most important health problems and a leading cause of death in 4th decade of life. Mortality due to accidents has a critical situation in Iran and mortality rate is increasing10-15% annually. Aim: To assess the relationship of shock index with trauma patient’s mortality after first 24 hours of admission at Khatam-al-Anbia Hospital in Iranshahr. Method A cros...

Background: Value of Corticosteroid Randomisation after Significant Head Injury (CRASH) prognostic model has not been assessed in children with traumatic brain injury (TBI). This study is designed to examine the value of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric TBI. Materials and Methods: </stron...