Results 21 to 30 of about 5,869,439 (266)
BMC Anesthesiology, 2020 Background There are several scores used for in-hospital mortality prediction in critical illness. Their application in a local scenario requires validation to ensure appropriate diagnostic accuracy.
Szymon Czajka +5 more
doaj +1 more source
Assessing Vulnerabilities in Apache and IIS HTTP Servers [PDF]
2006 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, 2006 We examine the feasibility of quantitatively characterizing the vulnerabilities in the two major HTTP servers. In particular, we investigate the applicability of quantitative empirical models to the vulnerabilities discovery process for these servers. Such models can allow us to predict the number of vulnerabilities that may potentially be present in a
Sung-Whan Woo +2 more
openaire +1 more source
Application Values of Six Scoring Systems in the Prognosis of Stroke Patients
Frontiers in Neurology, 2020 Objective: The present study aimed to evaluate the prognostic value of Acute Physiology and Chronic Health Evaluation (APACHE; II and III), Chinese Stroke Scale (CSS), National Institutes of Health Stroke Score (NIHSS), activities of daily living (ADL ...
Qun-Xi Li +8 more
doaj +1 more source
Performance on the APACHE II, SAPS II, SOFA and the OHCA score of post-cardiac arrest patients treated with therapeutic hypothermia. [PDF]
PLoS ONE, 2018 This study assessed the ability of the Acute Physiologic and Chronic Health Evaluation (APACHE) II score, Simplified Acute Physiology Score (SAPS) II, Sequential Organ Failure Assessment (SOFA) score, and out-of-hospital cardiac arrest (OHCA) score to ...
Jea Yeon Choi +7 more
doaj +1 more source
Saudi Journal of Anaesthesia, 2015 Context: Acute physiology and chronic health evaluation II (APACHE II) is one of the most general classification systems of disease severity in Intensive Care Units and Glasgow Coma Score (GCS) is one of the most specific ones.
Mohammad Hosseini, Jamileh Ramazani
doaj +1 more source
International Journal of Cardiology: Heart & Vasculature, 2022 Background: The APACHE II score assesses patient prognosis in intensive care units. Different disease entities are predictable by using a specific factor called Diagnostic Category Weight (DCW).
Johannes Mierke +10 more
doaj +1 more source
Critical Care Research and Practice, 2018 Background. The objective of the present study was to compare the ability of Acute Physiology and Chronic Health Evaluation (APACHE) scoring systems with the combination of an anthropometric variable score “adductor pollicis muscle (APM) thickness” to ...
Elahe Nematifard +4 more
doaj +1 more source
Advanced Biomedical Research, 2015 Background: VAP is defined as pneumonia in patients who use ventilators. The acute physiology and chronic health evaluation (APACHE II) scoring system was originally developed for predicting mortality in patients who were admitted to the intensive care ...
Alireza Emami Naeini +3 more
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Validation of the APACHE IV model and its comparison with the APACHE II, SAPS 3, and Korean SAPS 3 models for the prediction of hospital mortality in a Korean surgical intensive care unit [PDF]
Korean Journal of Anesthesiology, 2014 BackgroundThe Acute Physiology and Chronic Health Evaluation (APACHE) IV model has not yet been validated in Korea. The aim of this study was to compare the ability of the APACHE IV with those of APACHE II, Simplified Acute Physiology Score (SAPS) 3, and
Hannah Lee +4 more
doaj +1 more source
مجله دانشکده پزشکی اصفهان, 2018 Background: After trauma, clinical examinations and laboratory tests to assess trauma can provide an overview of patients' prognosis, which is important for the optimal management of patients.
Parviz Kashefi +2 more
doaj +1 more source