[Identification of neurodegenerative diseases in administrative databases in France: A systematic review of the literature]. / Identification des maladies neurodégénératives dans les bases de données médicoadministratives en France : revue systématique de la littérature.

BACKGROUND: Given the health, social and economic burden of neurodegenerative diseases (ND), the development of epidemiologic studies is required. Administrative databases, such as the French national health insurance database (SNIIRAM) could represent an opportunity for researchers. ND could be presumed from drug reimbursement data, hospital stays or registration of a chronic condition. The aim of this study was to describe, in French administrative databases, algorithms used to identify Alzheimer's disease and associated disorders (ADAD), Parkinson's disease and associated disorders (PDAD), multiple sclerosis (MS), and amyotrophic lateral sclerosis (ALS). METHODS: A systematic literature review was performed in Medline and gray literature through December 31th, 2015. French studies focusing on ADAD, PDAD, MS or ALS as a primary health outcome, conducted among one of the SNIIRAM data sources (outpatient reimbursements, chronic condition registration, hospital discharge) were included. RESULTS: Thirty-four studies were included (ADAD, n=18, PDAD, n=9, MS, n=4, ALS, n=3), leading to 36 algorithms. For each studied ND, there was an important variability in the algorithms, concerning (i) the type of criteria used (administrative database versus multi-source systems); (ii) the number of criteria used; (iii) the definition used for each criteria. The extent and level of drug exposure highly varied. Identification through hospitalizations showed variations in terms of type of stay (short stay, long-term stay, psychiatric ward…), extent of diagnosis codes used, diagnosis type (principal, related, associated diagnosis) and period used. A validation study was conducted for 2 out of 36 algorithms (PDAD), and criteria completeness was estimated for 3 algorithms (MS, ALS). CONCLUSION: Despite the increase in ND identification among French administrative databases, few algorithms have been validated. Validation studies should be encouraged.

Prognostic factors after hospitalization for COPD exacerbation.

INTRODUCTION: Hospitalizations for acute exacerbation of chronic obstructive pulmonary disease (AECOPD) are increasing in France. AECOPD are associated with impaired health status and increased health care costs. METHODS: Using data from the French national health insurance information system, we studied mortality, readmissions and lung function testing after discharge among adults hospitalized for AECOPD in 2013. RESULTS: The cumulative probabilities of death and readmission for EACOPD were 21% and 31% respectively. The survival was better among women, even after taking into account the other risk factors (age, previous hospitalization for AECOPD, comorbidities, exacerbation severity). In multivariate analysis, the risk of readmission was increased among men and people living in socially disadvantaged areas. A lung function testing was performed in 34% within 3 months after discharge. Female gender, advanced age, comorbidities and living in a disadvantaged area were associated with a lower frequency of lung function testing. CONCLUSIONS: Women had a better prognosis than men after AECOPD hospitalization. The frequency of lung function testing after discharge remained low, particularly among women and people living in disadvantaged areas.