Literature DB >> 10768086

Scoring systems for assessing organ dysfunction and survival.

J L Vincent1, F Ferreira, R Moreno.   

Abstract

Sepsis is an ongoing disease process carrying a high risk of organ failure and death. Scoring systems to determine disease severity and risk of mortality may be useful in patient management and clinical trial enrollment, although the role of either type of score in the determination of admission or discharge criteria or in decisions relating to the continuation or withholding of treatment remains controversial. General scoring systems have been developed to quantify the severity of illness and the risk of mortality in ICU patients. Ideally, these should be customized before use in patients with septic shock, but in general noncustomized models are used, and this potential limitation should be acknowledged. Prognostic scores are remarkably reliable at predicting outcome in groups of patients and give an indication of severity of disease on admission, but they are unable to provide detail on how a patient is responding to treatment or on the disease progression. Organ function scores, however, can be assessed repeatedly and used to define a patient's progress. This approach can thus be used to evaluate individual patient care, to identify patients for enrollment in clinical trials or epidemiologic analyses, and to assess morbidity measures in clinical trials of new interventions. Organ dysfunction scores are just that, descriptors of organ dysfunction, and although high values correlate well with mortality, prognostication is not their prime aim; organ dysfunction scores and outcome prediction scores should rather be viewed as complementary systems in the description of ICU populations.

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Year:  2000        PMID: 10768086     DOI: 10.1016/s0749-0704(05)70114-7

Source DB:  PubMed          Journal:  Crit Care Clin        ISSN: 0749-0704            Impact factor:   3.598


  24 in total

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Review 2.  Translational systems approaches to the biology of inflammation and healing.

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3.  Impact of early haemodynamic goal-directed therapy in patients undergoing emergency surgery: an open prospective, randomised trial.

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4.  icuARM-II: improving the reliability of personalized risk prediction in pediatric intensive care units.

Authors:  Chih-Wen Cheng; Nikhil Chanani; Kevin Maher
Journal:  ACM BCB       Date:  2014-09

5.  Improving Personalized Clinical Risk Prediction Based on Causality-Based Association Rules.

Authors:  Chih-Wen Cheng; May D Wang
Journal:  ACM BCB       Date:  2015-09

6.  Prognostic impact of clinical course-specific mRNA expression profiles in the serum of perioperative patients with esophageal cancer in the ICU: a case control study.

Authors:  Shunsaku Takahashi; Norimasa Miura; Tomomi Harada; ZhongZhi Wang; Xinhui Wang; Hideyuki Tsubokura; Yoshiaki Oshima; Junichi Hasegawa; Yoshimi Inagaki; Goshi Shiota
Journal:  J Transl Med       Date:  2010-10-22       Impact factor: 5.531

Review 7.  Sepsis: links between pathogen sensing and organ damage.

Authors:  Elliott Crouser; Matthew Exline; Daren Knoell; Mark D Wewers
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Review 8.  In silico modeling: methods and applications to trauma and sepsis.

Authors:  Yoram Vodovotz; Timothy R Billiar
Journal:  Crit Care Med       Date:  2013-08       Impact factor: 7.598

Review 9.  Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review.

Authors:  Lilian Minne; Ameen Abu-Hanna; Evert de Jonge
Journal:  Crit Care       Date:  2008-12-17       Impact factor: 9.097

10.  Intensive insulin treatment improves forearm blood flow in critically ill patients: a randomized parallel design clinical trial.

Authors:  Ivan Žuran; Pavel Poredos; Rafael Skale; Gorazd Voga; Lucija Gabrscek; Roman Pareznik
Journal:  Crit Care       Date:  2009-12-09       Impact factor: 9.097

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