Introduction: The objective of this study was to evaluate the complementarity of the French national health database (Système national des données de Santé, SNDS) and the Dijon Stroke Registry for the epidemiology of stroke patients with anticoagulated atrial fibrillation (AF). Methods: The SNDS collects healthcare prescriptions and procedures reimbursed by the French national health insurance for almost all of the 66 million individuals living in France. A previously published algorithm was used to identify AF newly treated with oral anticoagulants. The Dijon Stroke Registry is a population-based study covering the residents of the city of Dijon since 1985 and records all stroke cases of the area. We compared the proportions of stroke patients with anticoagulated AF in the city of Dijon identified in SNDS databases to those registered in the Dijon Stroke Registry. Results: For the period 2013–2017 in the city of Dijon, 1,146 strokes were identified in the SNDS and 1,188 in the registry. The proportion of strokes with anticoagulated AF was 13.4% in the SNDS and 20.3% in the Dijon Stroke Registry. Very similar characteristics were found between patients identified through the 2 databases. The overall prevalence of AF in stroke patients could be estimated only in the Dijon stroke registry and was 30.4% for the study period. Discussion/Conclusion: If administrative health databases can be a useful tool to study the epidemiology of anticoagulated AF in stroke patients, population-based stroke registries as the Dijon Stroke Registry remain essential to fully study the epidemiology of strokes with anticoagulated AF.

Background: We aimed to determine the accuracy of the iScore for predicting mortality and early disability following ischemic stroke in a French population-based study. Methods: All patients with acute ischemic stroke were identified among residents of the city of Dijon, France, between 2006 and 2011, using a population-based stroke registry. The 30-day iScore and 1-year iScore were calculated. A logistic regression model was used to assess the performance of the iScore for predicting both 30-day and 1-year mortality, and poor functional outcome at discharge (modified Rankin Scale score of 3-6). The discrimination and calibration of the model were assessed using the c-statistic and the Hosmer-Lemeshow goodness-of-fit test, respectively. Results: Among the 1,199 ischemic stroke patients recorded, 107 (8.9%) were excluded because at least one item of data was missing. For the remaining 1,092 patients, the c-statistic was 0.85 (95% CI: 0.82-0.89) for 30-day and 0.84 (0.81-0.87) for 1-year mortality, and calibration was good (p = 0.82 and p = 0.96, respectively, for the Hosmer-Lemeshow test). Similar results were found for disability (c-statistic 0.81, 95% CI: 0.79-0.84, and p = 0.45 for the Hosmer-Lemeshow test). Conclusion: This is the first population-based study to demonstrate the accuracy of the iScore for predicting mortality and early disability in ischemic stroke patients.

Background: Atrial fibrillation (AF) is frequently diagnosed during the acute stage of ischemic (IS), and it may reflect undiagnosed AF before stroke, thus representing a missed opportunity for stroke prevention. This population-based study aimed to assess the prevalence of known AF (KAF) and AF diagnosed early after IS (AFDAS), and to compare clinical and brain/arterial imaging characteristics between patients. Methods: Among patients with acute IS recorded in the population-based Dijon Stroke Registry, France (2013-2020), we identified those with KAF or AFDAS. AFDAS was considered when AF was diagnosed during the initial work-up based on electrocardiograms, in-hospital continuous electrocardiographic and/or Holter monitoring. Clinical and imaging characteristics on brain CT-scan or angio-CT-scan when available including old parenchymal lesions, arterial territory of the index IS, and aortic arch, cervical and intracranial arteries atheroma were compared between groups (KAF versus AFDAS). Regression logistic models were used to assess factors associated with AFDAS (compared to KAF). Results: Among 1756 IS patients, 550 (31.3%) had AF (mean age: 83.6 ±10.3 years old, 60.5% women), of whom 367 (66.7%) presented with KAF and 183 (33.3%) had AFDAS. In multivariable model, hypertension (OR=0.37; 95% CI: 0.21-0.64, p

Ce comparatif porte sur les 100 EPCI les plus peuplés de France. Il présente une trentaine d’indicateurs décrivant la population, les logements, les revenus, l’emploi et les établissements au niveau communal. Avec ces données, vous pouvez comparer les caractéristiques du territoire de Dijon Métropole avec les autres EPCI de France.