ID | 52897 |
JaLCDOI | |
FullText URL | |
Author |
Morisada, Sunao
Nosaka, Nobuyuki
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Abstract | Current systems for the evaluation of trauma severity are tedious and difficult to apply in an actual emergency setting. We aimed to develop and assess the accuracy of a more efficient severity evaluation system, termed the Ugawa classification, using brain-type natriuretic peptide (BNP) measurement and the estimated glomerular filtration rate (eGFR). Two-hundred trauma patients were divided into 2 groups using an eGFR cut-off value of 90ml/min/1.73m2 as an indicator of normal renal function and 2 additional groups according to whether the BNP values were greater or less than the age in years. This resulted in 4 subject groups with different combinations of eGFR and BNP. The mean SOFA score, injury severity scores (ISS), trauma and injury severity scores (TRISS), and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores of the groups were compared by Kruskal-Wallis test, and the mortality rate after 90 days was calculated. Significant intergroup differences were found in SOFA scores, ISS scores, and APACHE II-predicted mortality rates. Although no significant differences were found in the mortality rate after 90 days or TRISS-predicted mortality rate among the 4 groups, there was a trend toward increasing trauma severity from group 1 to 4. Thus, the Ugawa classification is as accurate as existing systems, has greater efficiency, and is user-friendly.
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Keywords | acute injury
Acute Physiology and Chronic Health Evaluation II
injury severity score
sequential organ failure assessment
trauma and injury severity score
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Amo Type | Original Article
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Publication Title |
Acta Medica Okayama
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Published Date | 2014-10
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Volume | volume68
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Issue | issue5
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Publisher | Okayama University Medical School
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Start Page | 285
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End Page | 290
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ISSN | 0386-300X
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NCID | AA00508441
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Content Type |
Journal Article
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language |
English
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Copyright Holders | CopyrightⒸ 2014 by Okayama University Medical School
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File Version | publisher
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Refereed |
True
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PubMed ID | |
Web of Science KeyUT | |
Related Url | http://ousar.lib.okayama-u.ac.jp/metadata/52958
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