BACKGROUND Abusive head trauma is the leading cause of death from physical abuse. Misdiagnosis of abusive head trauma as well as other types of brain abnormalities in infants is common and contributes to increased morbidity and mortality. We previously derived the Pittsburgh Infant Brain Injury Score (PIBIS), a clinical prediction rule to assist physicians deciding which high-risk infants shoul...

OBJECTIVE To compare performance of risk prediction models for forecasting postoperative sepsis and acute kidney injury. DESIGN Retrospective single center cohort study of adult surgical patients admitted between 2000 and 2010. PATIENTS 50,318 adult patients undergoing major surgery. MEASUREMENTS We evaluated the performance of logistic regression, generalized additive models, naïve Bayes...

In this paper the modeling of the human granulopoiesis is investigated. We present an existing model of Fliedner and Steinbach and show how this biomathematical model is used to predict the severeness of the injury of an irradiated person. In order to improve the prediction a new model containing time delays is presented. The derivation of this model is carried out using partial differential eq...

Recent papers discussed include two large, multicentre, high-positive end-expiratory pressure trials in acute lung injury and reflects upon the usefulness of such trial designs. Further papers considered include the emerging story of beta2-agonists for pulmonary oedema, highlights the newly described, iatrogenic demon, of ventilator-induced diaphragm injury, promotes the addition of B-type natr...

introduction: to date, many prognostic models have been proposed to predict the outcome of patients with traumatic brain injuries. external validation of these models in different populations is of great importance for their generalization. the present study was designed, aiming to determine the value of crash prognostic model in prediction of 14-day mortality (14-dm) and 6-month unfavorable ou...

ABSTRACT Objective: To assess the capacity of Charlson, SAPS 3 and SOFA scores to predict acute kidney injury, need for dialysis, death in intensive care unit patients. Method: Prospective cohort, with 432 individuals admitted four units. Clinical characteristics at admission, severity profile, intensity were analyzed using association correlation tests. The sensitivity specificity assessed ROC...

Maximum acceleration and the head injury criterion (HIC) are both used as indicators of likely head injury severity. A dataset has previously been published of impacts of an instrumented missile on four ground surfaces having a layer of between 0 and 16 cm of sand. The dataset is compared with recently-developed theory that predicts power-function dependence of maximum acceleration and HIC on d...

This study describes the experimental application of Machine Learning techniques to build prediction models that can assess the injury risk associated with traffic accidents. This work uses an freely available data set of traffic accident records that took place in the city of Porto Alegre/RS (Brazil) during the year of 2013. This study also provides an analysis of the most important attributes...

OBJECTIVE The accuracy of pre-hospital crash scene details and crash victim assessment has important implications for initial trauma care assessment and management. Similarly, it is known to influence physician perception of crash victim injury severity. The goal of this feasibility study was to examine paramedic accuracy in predicting crash victim injury profile, disability outcome at hospital...

Head injury is a major cause of disability and death in adults. Significant developments in imaging techniques have contributed to the knowledge of the pathophysiology of head injury. Although extensive research is available on severe head injury, less is known about mild-to-moderate head injury despite the fact that most patients sustain this type of injury. In this review, we focus on structu...