A1 Refereed original research article in a scientific journal
Bayesian prediction of treatment outcome in anorexia nervosa : A preliminary study
Subtitle: : A preliminary study
Authors: Veera Pohjolainen, Olli-Pekka Ryynänen, Pirjo Räsänen, Risto P. Roine, Salla Koponen, Hasse Karlsson
Publisher: Informa Healthcare
Publication year: 2015
Journal: Nordic Journal of Psychiatry
Journal name in source: NORDIC JOURNAL OF PSYCHIATRY
Journal acronym: NORD J PSYCHIAT
Volume: 69
Issue: 3
First page : 210
Last page: 215
Number of pages: 6
ISSN: 0803-9488
eISSN: 1502-4725
DOI: https://doi.org/10.3109/08039488.2014.962612(external)
Background: Knowledge of the prognostic factors predicting treatment outcome in anorexia nervosa (AN) measured with health-related quality of life (HRQoL) is limited. Aims: We performed a novel statistical analysis to identify factors predicting treatment outcome in AN. Methods: 39 patients entering treatment of an ICD-10-defined AN completed the 15D HRQoL survey, the Eating Disorder Inventory (EDI) and a questionnaire evaluating self reported health status and eating habits before and 2 years after the start of treatment. The analysis was based on a Bayesian approach, which allows analyses of small data sets, and was performed using a naive Bayes classifier. Results: An impaired follow-up HRQoL score was associated with three baseline risk factors: low self-reported vitality, high scores in eating control and a poor reported health status. Low baseline body mass index (BMI) and a high score in the eating dimension of the 15D predicted low follow-up BMI. Conclusions: In our preliminary study, we identified a set of variables predicting poor HRQoL in AN. An effort to treat these symptoms effectively in the beginning of AN treatment may influence the outcome.