Construction of an adaptable and specific severity score for prehospital emergencies.
Identifieur interne : 002010 ( PubMed/Corpus ); précédent : 002009; suivant : 002011Construction of an adaptable and specific severity score for prehospital emergencies.
Auteurs : H. Hubert ; C. Guinhouya ; E. Wiel ; C. Vilhelm ; P. GoldsteinSource :
- Emergency medicine journal : EMJ [ 1472-0213 ] ; 2009.
English descriptors
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- MESH :
Abstract
The aim of this study was to design a severity score specific to mobile emergency and resuscitation services (MERS). A prospective, multicentre cohort study including 17 868 patients was performed. The severity reference criterion was determined by multiple correspondence analysis. A multiple linear regression was used for the construction of the severity score. The score performances were analysed in terms of area under the receiver operating characteristics curves (AUC). Twelve variables were identified for the construction of the severity score. The multiple regression (r2 = 0.947; p<0.001) provided a severity score that took on values from 8 to 68. The score performs well in distinguishing the various patient outcomes in terms of AUC. This study develops the first adaptable and specific severity score of MERS activities.
DOI: 10.1136/emj.2007.047407
PubMed: 19546280
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Hubert</name><affiliation><nlm:affiliation>Institute of Engineering in Health of Lille, EA 2694, University of Lille 2, 42 rue Ambroise Paré, Loos 59120, France. herve.hubert@univ-lille2.fr</nlm:affiliation></affiliation></author><author><name sortKey="Guinhouya, C" sort="Guinhouya, C" uniqKey="Guinhouya C" first="C" last="Guinhouya">C. Guinhouya</name></author><author><name sortKey="Wiel, E" sort="Wiel, E" uniqKey="Wiel E" first="E" last="Wiel">E. Wiel</name></author><author><name sortKey="Vilhelm, C" sort="Vilhelm, C" uniqKey="Vilhelm C" first="C" last="Vilhelm">C. Vilhelm</name></author><author><name sortKey="Goldstein, P" sort="Goldstein, P" uniqKey="Goldstein P" first="P" last="Goldstein">P. Goldstein</name></author></analytic><series><title level="j">Emergency medicine journal : EMJ</title><idno type="eISSN">1472-0213</idno><imprint><date when="2009" type="published">2009</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Emergencies</term><term>Emergency Medical Services</term><term>Humans</term><term>Prospective Studies</term><term>ROC Curve</term><term>Severity of Illness Index</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Emergencies</term><term>Emergency Medical Services</term><term>Humans</term><term>Prospective Studies</term><term>ROC Curve</term><term>Severity of Illness Index</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this study was to design a severity score specific to mobile emergency and resuscitation services (MERS). A prospective, multicentre cohort study including 17 868 patients was performed. The severity reference criterion was determined by multiple correspondence analysis. A multiple linear regression was used for the construction of the severity score. The score performances were analysed in terms of area under the receiver operating characteristics curves (AUC). Twelve variables were identified for the construction of the severity score. The multiple regression (r2 = 0.947; p<0.001) provided a severity score that took on values from 8 to 68. The score performs well in distinguishing the various patient outcomes in terms of AUC. 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A prospective, multicentre cohort study including 17 868 patients was performed. The severity reference criterion was determined by multiple correspondence analysis. A multiple linear regression was used for the construction of the severity score. The score performances were analysed in terms of area under the receiver operating characteristics curves (AUC). Twelve variables were identified for the construction of the severity score. The multiple regression (r2 = 0.947; p<0.001) provided a severity score that took on values from 8 to 68. The score performs well in distinguishing the various patient outcomes in terms of AUC. 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