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C.Michel,J.P.Daurès,F.B.Michel,Ph.Godard
Eur Respir J, 1996, 9, 58–64 DOI: 10.118396Printed in UK - all rights reserved Copyright ?ERS Journals Ltd 1996 European Respiratory Journal ISSN 0903 - 1936 Comparison of an expert system with other clinical scores for the evaluation of severity of asthma V. Gautier*, H. Rédier*, J.L. Pujol*, J. Bousquet*, H. Proudhon**, C. Michel**, J.P. Daurès+, F.B. Michel*, Ph. Godard* Comparison of an expert system with other clinical scores for the evaluation of seve- rity of asthma. V. Gautier, H. Rédier, J.L. Pujol, J. Bousquet, H. Proudhon, C. Michel, J.P. Daurès, F.B. Michel, Ph. Godard. ?ERS Journals Ltd 1996. ABSTRACT: Asthmaexpert was produced at the special request of several clini- cians in order to obtain a better understanding of the medical decisions taken by clinical experts in the management of asthmatic patients. In order to assess the severity of asthma, a new score called Artificial Intelligence score (AI score), pro- duced by Asthmaexpert, was compared with three other scores (Aas, Hargreave and Brooks). One hundred patients were enrolled prospectively in the study during their first consultation in the out-patient clinic. Distribution of severity level according to the different scores was studied, and the reliability between AI and other scores was evaluated by Kappa and MacNemar tests. Correlations with functional para- meters were performed. The AI score assessed higher levels of severity than the other scores (Kappa=18, 28 and 10% for Aas, Hargreave and Brooks, respectively) with significant MacNemar test in all cases. There was a significant correlation between AI score and forced expiratory volume in one second (FEV1) (r=0.73). These data indicate that the AI score is a severity score which defines higher lev- els of severity than the chosen scores. Correlations for functional parameters are good. This score appears easy to use for the first consultation of an asthmatic patient. Eur Respir J., 1996, 9, 58–64. *Service des
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