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Purpose The Italian Network of Longitudinal Metropolitan Studies (IN-LiMeS) is a system of integrated data on health outcomes, demographic and socioeconomic information, and represents a powerful tool to study health inequalities. Participants IN-LiMeS is a multicentre and multipurpose pool of metropolitan population cohorts enrolled in nine Italian cities: Turin, Venice, Reggio Emilia, Modena, Bologna, Florence, Leghorn, Prato and Rome. Data come from record linkage of municipal population registries, the 2001 population census, mortality registers and hospital discharge archives. Depending on the source of enrolment, cohorts can be closed or open. The census-based closed cohort design includes subjects resident in any of the nine cities at the 2001 census day; 4 466 655 individuals were enrolled in 2001 in the nine closed cohorts. The open cohort design includes subjects resident in 2001 or subsequently registered by birth or immigration until the latest available follow-up (currently 31 December 2013). The open cohort design is available for Turin, Venice, Reggio Emilia, Modena, Bologna, Prato and Rome. Detailed socioeconomic data are available for subjects enrolled in the census-based cohorts; information on demographic characteristics, education and citizenship is available from population registries. Findings to date The first IN-LiMeS application was the study of differentials in mortality between immigrants and Italians. Either using a closed cohort design (nine cities) or an open one (Turin and Reggio Emilia), individuals from high migration pressure countries generally showed a lower mortality risk. However, a certain heterogeneity between the nine cities was noted, especially among men, and an excess mortality risk was reported for some macroareas of origin and specific causes of death. Future plans We are currently working on the linkage of the 2011 population census data, the expansion of geographical coverage and the implementation of the open design in all the participating cohorts.

Objective: We explored the long-term follow-up of continuous spike-and-wave complexes during sleep (CSWS) in polymicrogyria and the anatomic volumetric variables that influence the risk of developing this age-related epileptic encephalopathy. Methods: We performed prospective follow-up of 27 patients with polymicrogyria/CSWS (mean follow-up 14.3 years; range 2–31 years) and comparative volumetric analysis of the polymicrogyric hemispheres and ipsilateral thalami vs 3 subgroups featuring polymicrogyria without CSWS, benign rolandic epilepsy (BRE), and headache. Receiver operator characteristic analysis of the power of volumetric values was determined to predict CSWS. Results: CSWS peaked between 5 and 7 years (mean age at onset 4.7 years). Remission occurred within 2 years from onset in 21%, within 4 years in 50%, and by age 13 years in 100%. We found smaller thalamic and hemispheric volumes in polymicrogyria/CSWS with respect to polymicrogyria without CSWS (p 5 0.0021 for hemispheres; p 5 0.0003 for thalami), BRE, and controls with headache (p , 0.0001). Volumes of the malformed hemispheres and ipsilateral thalami reliably identified the risk of incurring CSWS, with a 68-fold increased risk for values lower than optimal diagnostic cutoffs (436,150 mm3 for malformed hemispheres or 4,616 mm3 for ipsilateral thalami; sensitivity 92.54%; specificity 84.62%). The risk increased by 2% for every 1,000 mm3 reduction of the polymicrogyric hemispheres and by 15% for every 100 mm3 reduction of ipsilateral thalami. Conclusions: The polymicrogyria/CSWS syndrome is likely caused by a cortico-thalamic malformation complex and is characterized by remission of epilepsy within early adolescence. Early assessment of hemispheric and thalamic volumes in children with polymicrogyria and epilepsy can reliably predict CSWS.

Fasciola hepatica infection challenges health, welfare and productivity of small ruminants throughout the world. The distribution of F. hepatica in sheep in Europe is usually scattered and studies are generally concerned with a single area making it difficult to compare results from different environments, climates and management regimes. In order to elucidate the current scenario in terms of prevalence and intensity of F. hepatica infection in sheep farms across Europe, a standardized cross-sectional survey was conducted in three pilot areas in Ireland, Switzerland and Italy, all part of the EU funded GLOWORM project. Two consecutive field surveys (in 2012 and 2013) were conducted in the three countries in the same period (August-October) in 361 sheep farms in total. Harmonized procedures (from farm to laboratory) based on pooled samples and the highly sensitive and accurate, diagnostic FLOTAC technique were used. The georeferenced parasitological results were modelled (at the pilot area level) following a Bayesian geostatistical approach with correction for preferential sampling and accounting for climatic and environmental covariates. The observed F. hepatica prevalence rates did not differ between the two study years in any of the three pilot areas, but they did vary between the countries showing high values in Ireland (61.6%) compared to Italy (7.9%) and Switzerland (4.0%). Spatial patterns of F. hepatica distribution were detected by the Bayesian geostatistical approach in Ireland with a high risk of infection in the south-western part of the pilot area there. The latent factor analysis highlighted the importance of year-to-year variation of mean temperature, rainfall and seasonality within a country, while long-term trends of temperature and rainfall dominated between countries with respect to prevalence of infection.

Objective: To assess seizure and cognitive outcomes and their predictors in children (