CONTEXT AND OBJECTIVE Acute coronary syndromes (ACS) are a common cause of intensive care unit (ICU) admission. Specific prognostic scores have been developed and validated for ACS patients and, among them, GRACE (Global Registry of Acute Coronary Events) has had the best performance. However, intensive care clinicians generally use prognostic scores developed from heterogeneous populations of ...

BACKGROUND The Glasgow Coma Scale (GCS) is popular, simple, and reliable, and provides information about the level of consciousness in trauma patients. Nevertheless, the necessity of using a more complex system than GCS has been questioned recently. The revised Acute Physiology and Chronic Health Evaluation system (APACHE II) is a physiologically based system including 12 physiological variable...

We conducted a prospective, observational study to assess the prognostic value of hemostasis-related parameters in unselected ICU patients. We collected baseline characteristics from 497 consecutive unselected medical and trauma patients during their ICU stay. Each hemostasis-related parameter was analyzed alone or combined with APACHE II scores for any association with ICU mortality by calcula...

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The acute physiology and chronic health evaluation (APACHE II) 1 is a scoring system that provides a means for describing and predicting acute illness severity over a broad range of intensive care unit (ICU) patients 1-3 . Clinical investigators commonly use the APACHE II score in their research protocols to identify differences between treatment groups 4 . Severity scoring systems, such as the...

Real-time text processing systems are required in many domains to quickly identify patterns, trends, sentiments, and insights. Nowadays, social networks, e-commerce stores, blogs, scientific experiments, and server logs are main sources generating huge text data. However, to process huge text data in real time requires building a data processing pipeline. The main challenge in building such pip...

This paper outlines the creation of the Polar dataset within the TREC-Dynamic Domain track. The techniques used to create the Polar dataset fall into two basic categories: information extraction using Apache Tika and information retrieval using Apache Nutch. Frist, we expanded the parsing capabilities of Apache Tika, an open source framework for text and metadata extraction, to provide more sea...

PURPOSE To assess the ability of the Acute Physiology and Chronic Health Evaluation II (APACHE II) to stratify the severity of illness and the impact of delay transfer to an Intensive Care Unit (ICU) on the mortality of surgical critically ill patients. METHODS Five hundred and twenty-nine patients (60.3% males and 39.7% females; mean age of 52.8 ± 18.5 years) admitted to the ICU were retrosp...

PURPOSE This study was designed to validate the usefulness of the Acute Physiology and Chronic Health Evaluation (APACHE) II for predicting hospital mortality of critically ill Korean patients. MATERIALS AND METHODS We analyzed data on 826 patients who had been admitted to nine intensive care units and were included in the Fever and Antipyretics in Critical Illness Evaluation study cohort. ...