Evaluation of atopy through an expert system: description of the database.
BACKGROUND
In order to understand the medical decisions taken during the initial visit of a new asthmatic patient, a group of experts designed an expert system which provides conclusions about severity, precipitating factors and treatment. Rules for atopy and the assessment of allergic factors have been discussed and implemented in the expert system. Conclusions about severity have been yet validated using an appropriate methodology.


OBJECTIVE
The aim of this study was to investigate a sample of 471 patients according to conclusions regarding atopy.


METHODS
A total of 471 cases report forms (CRF) was filled in for adult asthmatic outpatients, seen for the first time in our clinic without emergency situations. Data of each CRF were used by the expert system to draw conclusions. The expert system discerns three patterns for atopy, yes, possible or no. The variables known to reflect different features according to the classification of asthma as atopic or not have been studied. The variables used in the rules for atopy, obviously linked to the conclusion, were not compared. For many medical problems no unique objective solution exists and this is why a group of patients with possible atopy was introduced.


RESULTS
Patients with atopy had less severe asthma (P = 0.01), a better FEV1 value (P = 0.0007) and showed their first symptoms of asthma earlier (P = 0.00001) than patients without atopy.


CONCLUSIONS
The characteristics of the group studied here are consistent with the literature. This could be considered as an indirect validation of the expert system. Moreover, patients with possible atopy show intermediate findings for these variables and it is possible to suggest a 'dose-effect' relationship.
Ray
P
P
Clinique des Maladies Respiratoires, Hôpital Arnaud de Villeneuve, Montpellier, France.
Vervloet
D
D
Charpin
D
D
Gautier
V
V
Proudhon
H
H
Redier
H
H
Godard
P
P
D000293:Adolescent; D000328:Adult; D001249:Asthma / Q000145:classification / Q000175:diagnosis* / Q000209:etiology; D016208:Databases, Factual; D005103:Expert Systems; D005260:Female; D005541:Forced Expiratory Volume; D006801:Humans; D006969:Hypersensitivity, Immediate / Q000145:classification / Q000175:diagnosis* / Q000209:etiology; D008297:Male; D015203:Reproducibility of Results; D012720:Severity of Illness Index; D012882:Skin Tests; D012984:Software