PMID: identifiant
de la référence Pubmed : |
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 (21606234) |
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| titre : |
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Prediction model of Parkinson's disease based on antiparkinsonian drug claims. |
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| auteur(s) : |
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Frédéric Moisan ( ) 1, Véronique Gourlet1, Jean-Louis Mazurie2, Jean-Luc Dupupet3, Jean Houssinot3, Marcel Goldberg4, 5, Ellen Imbernon5, Christophe Tzourio1, Alexis Elbaz1, 5 |
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| laboratoire : |
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| résumé : |
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Drug claims databases are increasingly available and provide opportunities to investigate epidemiologic questions. The authors used computerized drug claims databases from a social security system in 5 French districts to predict the probability that a person had Parkinson's disease (PD) based on patterns of antiparkinsonian drug (APD) use. Clinical information for a population-based sample of persons using APDs in 2007 was collected. The authors built a prediction model using demographic variables and APDs as predictors and investigated the additional predictive benefit of including information on dose and regularity of use. Among 1,114 APD users, 320 (29%) had PD and 794 (71%) had another diagnosis as determined by study neurologists. A logistic model including information on cumulative APD dose and regularity of use showed good performance (c statistic = 0.953, sensitivity = 92.5%, specificity = 86.4%). Predicted PD prevalence (among persons aged ≥18 years) was 6.66/1,000; correcting this estimate using sensitivity/specificity led to a similar figure (6.04/1,000). These data demonstrate that drug claims databases can be used to estimate the probability that a person is being treated for PD and that information on APD dose and regularity of use improves models' performances. Similar approaches could be developed for other conditions. |
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| domaine : |
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Sciences du Vivant/Santé publique et épidémiologie
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langue du texte
intégral : |
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Anglais |
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| ISSN : |
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0002-9262 |
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| type de publication : |
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Articles dans des revues avec comité de lecture |
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| DOI : |
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10.1093/aje/kwr081 |
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| journal : |
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| Audience : |
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internationale |
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| date de publication : |
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01/08/2011 |
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date de publication
électronique : |
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23/05/2011 |
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| volume : |
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174 |
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| numéro : |
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3 |
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| page, identifiant, ... : |
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354-63 |
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| mots-clés auteur : |
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antiparkinsonian agents – Parkinson disease – prediction – predictive value of tests – prescriptions – prevalence |
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| Descripteur(s) MeSH : |
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Aged – Antiparkinson Agents – Databases – Factual – Female – France – Humans – Logistic Models – Male – Middle Aged – Models – Statistical – Parkinson Disease – Prevalence – ROC Curve – Reproducibility of Results |
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| contrat, financement : |
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This work was supported by l'Institut National de la Santé et de la Recherche Médicale, l'Agence Nationale de la Recherche, l'Agence Française de Sécurité Sanitaire de l'Environnement et du Travail, and France Parkinson. Frédéric Moisan was supported by a scholarship from the Ministère de l'Enseignement Supérieur et de la Recherche and the Fondation pour la Recherche Médicale. |
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