title: [Multiparameter approach to undesirable effects of drugs that may represent risk for the automobile driving].
abstract: Drugs part in traffic accidents is not well known. We attempted to specify it taking out of pawn the adverse effects which could be liable: drowsiness; consciousness lose; dizziness; eye-sight troubles; hallucinations, hearing troubles; drunken feelings, behaviour modification; propensy to suicide, interference with alcohol. Drugs involving such effects were indexed; their therapeutic indications and their chemical structure were taking into account. Statistical classical count allowed us to quantify relative importance of this ten adverse effects category. Multivariate analysis worked out structuration this undesirable effects into 97 different profiles by the mean of the Minimum Spanning Tree method and established proximity links between the 409 active principles recorded. This results are reported here.
authors.affiliation: Chimie thérapeutique, Faculté de Pharmacie, Tours.
authors.forename: R
authors.initials: R
authors.lastname: Lacroix
authors.forename: J
authors.initials: J
authors.lastname: Lacroix
authors.forename: J C
authors.initials: JC
authors.lastname: Doré
mesh_terms: D001334:Automobile Driving / Q000706:statistics & numerical data*; D064420:Drug-Related Side Effects and Adverse Reactions; D006801:Humans; D015999:Multivariate Analysis; D012307:Risk Factors
vernacular_title: Approche multiparamétrique des effets indésirables des médicaments pouvant représenter un risque pour la conduite de véhicules.