Prediction of pharmacological response in OCD using machine learning techniques and clinical and neuropsychological variables
Year: 2024
Type: article
Study design: Observational Study
Abstract: INTRODUCTION: Obsessive compulsive disorder is associated with affected executive functioning, including memory, cognitive flexibility, and organizational strategies. As it was reported in previous studies, patients with preserved executive functions respond better to pharmacological treatment, while others need to keep trying different pharmacological strategies. MATERIAL AND METHODS: In this work we used machine learning techniques to predict pharmacological response (OCD patients' symptomatology reduction) based on executive functioning and clinical variables. Among those variables we used anxiety, depression and obsessive-compulsive symptoms scores by applying State-Trait Anxiety Inventory, Hamilton Depression Rating Scale and Yale-Brown Obsessive Compulsive Scale respectively, while Rey-Osterrieth Complex Figure Test was used to assess organisation skills and non-verbal memory; Digits' subtests from Wechsler Adult Intelligence Scale-IV were used to assess short-term memory and working memory; and Raven's Progressive Matrices were applied to assess problem solving and abstract reasoning. RESULTS: As a result of our analyses, we created a reliable algorithm that predicts Y-BOCS score after 12 weeks based on patients' clinical characteristics (sex at birth, age, pharmacological strategy, depressive and obsessive-compulsive symptoms, years passed since diagnostic and Raven's Progressive Matrices score) and Digits' scores. A high correlation (0.846) was achieved in predicted and true values. CONCLUSIONS: The present study proves the viability to predict if a patient would respond or not to a certain pharmacological strategy with high reliability based on sociodemographics, clinical variables and cognitive functions as short-term memory and working memory. These results are promising to develop future prediction models to help clinical decision making.
Institutions: Universidade de Santiago de Compostela, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigación Sanitaria de Santiago, Complejo Hospitalario Universitario de Santiago, Instituto de Salud Carlos III, Bellvitge University Hospital, Institut d'Investigació Biomédica de Bellvitge, Centro de Investigación Biomédica en Red de Salud Mental, Universitat de Barcelona, Centre for Biomedical Network Research on Rare Diseases, Fundación Pública Galega de Medicina Xenómica, Servicio Gallego de Salud
Language: English
Subfield: Clinical Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $1,910
Awards: G2959396219, Biomarcadores multi-ómicos periféricos predictores de la evolución a largo plazo del Trastorno Obsesivo-Compulsivo: la cohorte TOC Barcelona (OCD-BC), Trastornos de la compulsividad y su tratamiento: marcadores neuroinflamatorios, neurocognitivos, neuropsicólogicos y de neuroimagen, Evolución a largo plazo de los trastornos de la compulsividad y su tratamiento: marcadores neuroinflamatorios, neuropsicólogicos y de neuroimagen, BIOMARCADORES Y PREDICTORES CLÍNICOS DE LA EVOLUCIÓN A LARGO PLAZO DEL TRASTORNO OBSESIVO-COMPULSIVO: ESTUDIO PROSPECTIVO DE UNA COHORTE.
OpenAlex ID: W4404407157