Ibáñez Beroiz, Berta
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Ibáñez Beroiz
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Berta
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Ciencias de la Salud
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Publication Open Access Cross-national health care database utilization between Spain and France: results from the EPICHRONIC study assessing the prevalence of type 2 diabetes mellitus(Dove Medical Press, 2018) Moulis, Guillaume; Ibáñez Beroiz, Berta; Palmaro, Aurore; Aizpuru, Felipe; Millán, Eduardo; Lapeyre Mestre, Maryse; Sailler, Laurent; Cambra Contin, Koldo; Ciencias de la Salud; Osasun ZientziakAim: the EPICHRONIC (EPIdemiology of CHRONIC diseases) project investigated the possibility of developing common procedures for French and Spanish electronic health care databases to enable large-scale pharmacoepidemiological studies on chronic diseases. A feasibility study assessed the prevalence of type 2 diabetes mellitus (T2DM) in Navarre and the Basque Country (Spain) and the Midi-Pyrénées region (France). Patients and methods: We described and compared database structures and the availability of hospital, outpatient, and drug-dispensing data from 5.9 million inhabitants. Due to differences in database structures and recorded data, we could not develop a common procedure to estimate T2DM prevalence, but identified an algorithm specific to each database. Patients were identified using primary care diagnosis codes previously validated in Spanish databases and a combination of primary care diagnosis codes, hospital diagnosis codes, and data on exposure to oral antidiabetic drugs from the French database. Results: Spanish and French databases (the latter termed Système National d’Information Inter-Régimes de l’Assurance Maladie [SNIIRAM]) included demographic, primary care diagnoses, hospital diagnoses, and outpatient drug-dispensing data. Diagnoses were encoded using the International Classification of Primary Care (version 2) and the International Classification of Diseases, version 9 and version 10 (ICD-9 and ICD-10) in the Spanish databases, whereas the SNIIRAM contained ICD-10 codes. All data were anonymized before transferring to researchers. T2DM prevalence in the population over 20 years was estimated to be 6.6–7.0% in the Spanish regions and 6.3% in the Midi-Pyrénées region with ~2% higher estimates for males in the three regions. Conclusion: tailored procedures can be designed to estimate the prevalence of T2DM in population-based studies from Spanish and French electronic health care records.Publication Open Access Epidemiological study and genetic characterization of inherited muscle diseases in a northern Spanish region(BioMed Central, 2019) Pagola Lorz, María Inmaculada; Vicente Cemborain, Esther; Ibáñez Beroiz, Berta; Torné, Laura; Elizalde Beiras, Itsaso; García Solaesa, Virginia; González García, Fermín María; Delfrade Osinaga, J.; Jericó Pascual, Ivonne; Ciencias de la Salud; Osasun Zientziak; Gobierno de Navarra / Nafarroako GobernuaBackground: Inherited muscle diseases are a group of rare heterogeneous muscle conditions with great impact on quality of life, for which variable prevalence has previously been reported, probably due to case selection bias. The aim of this study is to estimate the overall and selective prevalence rates of inherited muscle diseases in a northern Spanish region and to describe their demographic and genetic features. Retrospective identification of patients with inherited muscle diseases between 2000 and 2015 from multiple data sources. Demographic and molecular data were registered. Results: On January 1, 2016, the overall prevalence of inherited muscle diseases was 59.00/ 100,000 inhabitants (CI 95%; 53.35-65.26). Prevalence was significantly greater in men (67.33/100,000) in comparison to women (50.80/100,000) (p = 0.006). The highest value was seen in the age range between 45 and 54 (91.32/100,000) years. Myotonic dystrophy type 1 was the most common condition (35.90/100,000), followed by facioscapulohumeral muscular dystrophy (5.15/100,000) and limb-girdle muscular dystrophy type 2A (2.5/100,000). Conclusions: Prevalence of inherited muscle diseases in Navarre is high in comparison with the data reported for other geographical regions. Standard procedures and analyses of multiple data sources are needed for epidemiological studies of this heterogeneous group of diseases.