Efficiency of coronary artery disease screening guidelines in asymptomatic and atypical chest pain type 2 diabetic patients

RESUME Objectifs. Évaluer la prévalence de maladie coronarienne chez les patients diabétiques de type 2 asymptomatiques ou avec angor atypique selon les recommandations américaines de l'American Diabetes Association et de l'American College of Cardiology. Méthodes. Cent cinquante-quatre patients diabétiques de type 2 asymptomatiques ou avec angor atypique et présentant au minimum 2 facteurs de risque cardio-vasculaires additionnels ont été dépistés par échocardiographie de stress (71%, n=109), scintigraphie myocardique de perfusion (26%, n=40) ou l'association des 2 examens (3%, n=5). Résultats. L'échocardiographie de stress s'est révélée positive chez 16 patients (14%) et 14 ont eu une coronarographie révélant des sténoses significatives chez 12 (86%). La scintigraphie myocardique de perfusion était positive chez 16 patients (36%). Huit patients ont eu une coronarographie et 4 (50%) présentaient des sténoses significatives. Au total, 31 patients (20%) ont montré des signes d'ischémie lors de l'examen non-invasif et 15 (10%) ont présenté des sténoses significatives à la coronarographie. Les facteurs prédictifs indépendants de la maladie coronarienne étaient le tabagisme (OR 6.5, p=0.05), la microalbuminurie (OR 3.9, p=0.03), ainsi que les souffles fémoraux (OR 17.1, p=0.008). Conclusions. En suivant les recommandations américaines, un patient sur cinq présentait une ischémie lors des examens non-invasifs, tandis que 1 sur 10 avait des sténoses significatives à la coronarographie. L'analyse multivariée suggère que des marqueurs des complications micro- et macro-vasculaires en combinaison avec des facteurs de risque cardio-vasculaire classiques pourraient améliorer le pouvoir diagnostic de ces recommandations. SUMMARY Aims. We evaluated the prevalence of coronary artery disease in asymptomatic and atypical chest pain type 2 diabetic patients according to the American Diabetes Association and American College of Cardiology guidelines. Methods. Asymptomatic or atypical chest pain type 2 diabetic patients (n=154), with at least two additional cardiovascular risk factors, were screened for coronary artery disease using stress echocardiography (71%, n=109), myocardial perfusion imaging (26%, n=40) or both (3%, n=5). Results. Stress echocardiography was positive in 16 patients (14%) and 14 had a coronary angiography, revealing significant stenoses in 12 (86%). Myocardial perfusion imaging was positive in 16 patients (36%). Eight patients underwent angiography and 4 (50%) presented significant stenoses. Overall, 31 patients (20%) demonstrated signs of ischemia on non-invasive tests and 15 (10%) presented significant stenoses on coronary angiography. Independent predictors of coronary artery disease were smoking (OR 6.5, p=0.05), microalbuminuria (OR 3.9, p=0.03) and femoral murmur (OR 17.1, p=0.008). Conclusions. Following the guidelines, one in five diabetic patient presented ischemia on noninvasive tests, while one in ten presented significant coronary stenoses. Multivariate analysis suggests that adding markers of micro- and macro-vascular complications to classical cardiovascular risk factors may enhance the diagnostic efficiency of the guidelines

Towards Automated Inconsistency Handling in Design Models

International audienceThe increasing adoption of MDE (Model Driven Engineering) favored the use of large models of different types. It turns out that when the modeled system gets larger, simply computing a list of inconsistencies (as provided by existing techniques for inconsistency handling) gets less and less effective when it comes to actually fixing them. In fact, the inconsistency handling task (i.e. deciding what needs to be done in order to restore consistency) remains largely manual. This work is a step towards its automatization. We propose a method for the generation of repair plans for an inconsistent model. In our approach, the depth of the explored search space is configurable in order to cope with the underlying combinatorial characteristic of this problem and to avoid overwhelming the designer with large plans that can not be fully checked before being applied

Good Architecture = Good (ADL + Practices)

International audienceIn order to ensure the quality of their software development, companies incorporate best practices from recognized repositories or from their own experiences. These best practices are often described in software quality manuals which does not guarantee their implementation. In this paper, we propose a framework for the implementation of best practices concerning the design of the software architecture. We treat first the case of architecture design activity because it's the basis of the software development process. Our framework enables on the one hand to describe best practices and on the other hand to check their application by designers. We present an implementation of our framework in the Eclipse platform and for an ADL dedicated to Web applications. Finally, we give an example of use taken from the context of our industrial partner