Comparison of an expert system with other clinical scores for the evaluation of severity of asthma

被引:25
作者
Gautier, V
Redier, H
Pujol, JL
Bousquet, J
Proudhon, H
Michel, C
Daures, JP
Michel, FB
Godard, P
机构
[1] HOP UNIV ARNAUD DEVILLENEUVE,SERV MALADIES RESP,CJF INSERM 92,F-34295 MONTPELLIER 5,FRANCE
[2] FAC MED MARSEILLE,LAB BIOMATH,F-13385 MARSEILLE,FRANCE
[3] HOP LAPEYRONIE,DEPT MED INFORMAT,MONTPELLIER,FRANCE
关键词
asthma; expert system; scores severity;
D O I
10.1183/09031936.96.09010058
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
''Asthmaexpert'' was produced at the special request of several clinicians 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), produced 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 parameters 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 levels 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.
引用
收藏
页码:58 / 64
页数:7
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