Machine learning detects predictors of symptom severity and impulsivity after dialectical behavior therapy skills training group in borderline personality disorder


Por: Jimenez, Said, Angeles-Valdez, Diego, Rodriguez-Delgado, Andres, Fresan, Ana, Miranda, Edgar, Alcala-Lozano, Ruth, Duque-Alarcon, Xochitl, Arango de Montis, Ivan, Garza-Villarreal, Eduardo A.

Publicada: 1 jul 2022
Resumen:
Only 50% of the patients with Borderline Personality Disorder (BPD) respond to psychotherapies, such as Dialectical Behavioral Therapy (DBT), this might be increased by identifying baseline predictors of clinical change. We use machine learning to detect clinical features that could predict improvement/worsening for severity and impulsivity of BPD after DBT skills training group. To predict illness severity, we analyzed data from 125 patients with BPD divided into 17 DBT psychotherapy groups, and for impulsiveness we analyzed 89 patients distributed into 12 DBT groups. All patients were evaluated at baseline using widely self-report tests; similar to 70% of the sample were randomly selected and two machine learning models (lasso and Random forest [Rf]) were trained using 10fold cross-validation and compared to predict the post-treatment response. Models' generalization was assessed in similar to 30% of the remaining sample. Relevant variables for DBT (i.e. the mindfulness ability ``non-judging'', or ``non-planning'' impulsiveness) measured at baseline, were robust predictors of clinical change after six months of weekly DBT sessions. Using 10-fold cross-validation, the Rf model had significantly lower prediction error than lasso for the BPD severity variable, Mean Absolute Error (MAE) lasso - Rf = 1.55 (95% CI, 0.63-2.48) as well as for impulsivity, MAE lasso - Rf = 1.97 (95% CI, 0.57-3.35). According to Rf and the permutations method, 34/ 613 significant predictors for severity and 17/613 for impulsivity were identified. Using machine learning to identify the most important variables before starting DBT could be fundamental for personalized treatment and disease prognosis.

Filiaciones:
Jimenez, Said:
 Facultad de Psicología, Universidad Nacional Autónoma de México, México City, Mexico

 Univ Nacl Autonoma Mexico, Fac Psicol, Mexico City, DF, Mexico

Angeles-Valdez, Diego:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico

 Univ Nacl Autonoma Mexico, Inst Neurobiol, Campus Juriquilla, Queretaro, Mexico

Rodriguez-Delgado, Andres:
 Clínica de Trastorno Limite de la Personalidad, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Mexico City, Mexico

 Inst Nacl Psiquiatria Ramon Fuente Muniz, Clin Trastorno Lumite Personalidad, Mexico City, DF, Mexico

Fresan, Ana:
 Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Mexico City, Mexico

 Inst Nacl Psiquiatr Ramon Fuente Muniz, Subdirecc Invest Clin, Mexico City, DF, Mexico

Miranda, Edgar:
 Clínica de Trastorno Limite de la Personalidad, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Mexico City, Mexico

 Inst Nacl Psiquiatria Ramon Fuente Muniz, Clin Trastorno Lumite Personalidad, Mexico City, DF, Mexico

Alcala-Lozano, Ruth:
 Subdirección de Investigaciones Clínicas, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñíz, Mexico City, Mexico

 Inst Nacl Psiquiatr Ramon Fuente Muniz, Subdirecc Invest Clin, Mexico City, DF, Mexico

Duque-Alarcon, Xochitl:
 Clinica de Especialidades en Neuropsiquiatria, Instituto de Seguridad y Servicios Sociales de los Trabajadores del Estado (ISSSTE), Mexico City, Mexico

 Inst Seguridad & Serv Sociales Trabajadores Estad, Clin Especialidades Neuropsiquiatria, Mexico City, DF, Mexico

Arango de Montis, Ivan:
 Clínica de Trastorno Limite de la Personalidad, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz”, Mexico City, Mexico

 Inst Nacl Psiquiatria Ramon Fuente Muniz, Clin Trastorno Lumite Personalidad, Mexico City, DF, Mexico

Garza-Villarreal, Eduardo A.:
 Instituto de Neurobiología, Universidad Nacional Autónoma de México Campus Juriquilla, Querétaro, Mexico

 Univ Nacl Autonoma Mexico, Inst Neurobiol, Campus Juriquilla, Queretaro, Mexico
ISSN: 00223956





JOURNAL OF PSYCHIATRIC RESEARCH
Editorial
PERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 151 Número:
Páginas: 42-49
WOS Id: 000797532400007
ID de PubMed: 35447506
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