Validation de la version française de l'Inventaire de Satisfaction Conjugale MSI-R

Cette étude investigue la validité et la fidélité de la version française de l'Inventaire de Satisfaction Conjugale (MSI-R). Cet instrument multidimensionnel a montré ses apports dans les recherches internationales mais également dans la pratique clinique pour mesurer la nature et l'ampleur des conflits au sein d'un mariage ou d'une relation de couple. Les indices de consistance interne et de stabilité temporelle, calculés sur un échantillon constitué de 160 couples francophones, sont satisfaisants et similaires à ceux obtenus sur de précédentes traductions. Nous avons aussi répliqué la structure factorielle proposée récemment par Herrington et al. (2008), permettant de confirmer les deux facteurs, dysharmonie et désaffection, qui pourraient être utilisés dans de futures recherches à partir d'une version brève du MSI-R. Globalement, les résultats soutiennent la validité de construit de cette mesure pour des couples francophones. Nous avons mis en évidence des liens entre les échelles du questionnaire et d'autres mesures du fonctionnement du couple (DCI, CPQ, PFB), ainsi que des liens avec des variables socio-démographiques et des traits de personnalité mesurés à l'aide du NEO-FFI. Les résultats sont discutés à la lumière de leurs implications théoriques et pratiques.

Populating ACT-R's Declarative Memory with Internet Statistics

Decision situations are often characterized by uncertainty: we do not know the values of the different options on all attributes and have to rely on information stored in our memory to decide. Several strategies have been proposed to describe how people make inferences based on knowledge used as cues. The present research shows how declarative memory of ACT-R models could be populated based on internet statistics. This will allow to simulate the performance of decision strategies operating on declarative knowledge based on occurrences and co-occurrences of objects and cues in the environment.

ASTRAL-R score predicts non-recanalisation after intravenous thrombolysis in acute ischaemic stroke.

Intravenous thrombolysis (IVT) as treatment in acute ischaemic strokes may be insufficient to achieve recanalisation in certain patients. Predicting probability of non-recanalisation after IVT may have the potential to influence patient selection to more aggressive management strategies. We aimed at deriving and internally validating a predictive score for post-thrombolytic non-recanalisation, using clinical and radiological variables. In thrombolysis registries from four Swiss academic stroke centres (Lausanne, Bern, Basel and Geneva), patients were selected with large arterial occlusion on acute imaging and with repeated arterial assessment at 24 hours. Based on a logistic regression analysis, an integer-based score for each covariate of the fitted multivariate model was generated. Performance of integer-based predictive model was assessed by bootstrapping available data and cross validation (delete-d method). In 599 thrombolysed strokes, five variables were identified as independent predictors of absence of recanalisation: Acute glucose > 7 mmol/l (A), significant extracranial vessel STenosis (ST), decreased Range of visual fields (R), large Arterial occlusion (A) and decreased Level of consciousness (L). All variables were weighted 1, except for (L) which obtained 2 points based on β-coefficients on the logistic scale. ASTRAL-R scores 0, 3 and 6 corresponded to non-recanalisation probabilities of 18, 44 and 74 % respectively. Predictive ability showed AUC of 0.66 (95 %CI, 0.61-0.70) when using bootstrap and 0.66 (0.63-0.68) when using delete-d cross validation. In conclusion, the 5-item ASTRAL-R score moderately predicts non-recanalisation at 24 hours in thrombolysed ischaemic strokes. If its performance can be confirmed by external validation and its clinical usefulness can be proven, the score may influence patient selection for more aggressive revascularisation strategies in routine clinical practice.