pubmed-article:9095116 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C0030705 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C0175677 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C2698872 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C1274040 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C1707455 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C0936012 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C0021504 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C1137111 | lld:lifeskim |
pubmed-article:9095116 | lifeskim:mentions | umls-concept:C1550350 | lld:lifeskim |
pubmed-article:9095116 | pubmed:issue | 3 | lld:pubmed |
pubmed-article:9095116 | pubmed:dateCreated | 1997-5-1 | lld:pubmed |
pubmed-article:9095116 | pubmed:abstractText | Appropriate stratification of injury severity is a critical tool in the assessment of the treatment and the prevention of injury. Since its inception, the Injury Severity Score (ISS) has been the generally recognized "gold standard" for anatomic injury severity assessment. However, there is considerable time and expense involved in the collection of the information required to calculate an accurate ISS. In addition, the predictive power of the ISS has been shown to be limited. Previous work has demonstrated that the anatomic information about injury contained in the International Classification of Diseases Version 9 (ICD-9) can be a significant predictor of survival in trauma patients. The goal of this study was to utilize the San Diego County Trauma Registry (SDTR), one of the nation's leading trauma registries, to compare the predictive power of the ISS with the predictive power of the information contained in the injured patients' ICD-9 diagnoses codes. It was our primary hypothesis that survival risk ratios derived from patients' ICD-9 diagnoses codes would be equal or better predictors of survival than the Injury Severity Score. The implications of such a finding would have the potential for significant cost savings in the care of injured patients. | lld:pubmed |
pubmed-article:9095116 | pubmed:language | eng | lld:pubmed |
pubmed-article:9095116 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:9095116 | pubmed:citationSubset | AIM | lld:pubmed |
pubmed-article:9095116 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:9095116 | pubmed:month | Mar | lld:pubmed |
pubmed-article:9095116 | pubmed:issn | 0022-5282 | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:CantoJJ | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:WachterJJ | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:VellaMM | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:HoytD BDB | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:SiseM JMJ | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:RutledgeRR | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:OslerT MTM | lld:pubmed |
pubmed-article:9095116 | pubmed:author | pubmed-author:EastmanA BAB | lld:pubmed |
pubmed-article:9095116 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:9095116 | pubmed:volume | 42 | lld:pubmed |
pubmed-article:9095116 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:9095116 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:9095116 | pubmed:pagination | 477-87; discussion 487-9 | lld:pubmed |
pubmed-article:9095116 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
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pubmed-article:9095116 | pubmed:meshHeading | pubmed-meshheading:9095116-... | lld:pubmed |
pubmed-article:9095116 | pubmed:year | 1997 | lld:pubmed |
pubmed-article:9095116 | pubmed:articleTitle | Comparison of the Injury Severity Score and ICD-9 diagnosis codes as predictors of outcome in injury: analysis of 44,032 patients. | lld:pubmed |
pubmed-article:9095116 | pubmed:affiliation | Department of Surgery, University of North Carolina at Chapel Hill 27599-7210, USA. rrutledg.@med.unc.edu | lld:pubmed |
pubmed-article:9095116 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:9095116 | pubmed:publicationType | Comparative Study | lld:pubmed |
http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:9095116 | lld:pubmed |
http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:9095116 | lld:pubmed |