Theranostic markers for personalized therapy of spider phobia: Methods of a bicentric external cross-validation machine learning approach.
Int J Methods Psychiatr Res
; 29(2): e1812, 2020 06.
Article
em En
| MEDLINE
| ID: mdl-31814209
ABSTRACT
OBJECTIVES:
Embedded in the Collaborative Research Center "Fear, Anxiety, Anxiety Disorders" (CRC-TRR58), this bicentric clinical study aims at identifying biobehavioral markers of treatment (non-)response by applying machine learning methodology with an external cross-validation protocol. We hypothesize that a priori prediction of treatment (non-)response is possible in a second, independent sample based on multimodal markers.METHODS:
One-session virtual reality exposure treatment (VRET) with patients with spider phobia was conducted on two sites. Clinical, neuroimaging, and genetic data were assessed at baseline, post-treatment and after 6 months. The primary and secondary outcomes defining treatment response are as follows 30% reduction regarding the individual score in the Spider Phobia Questionnaire and 50% reduction regarding the individual distance in the behavioral avoidance test.RESULTS:
N = 204 patients have been included (n = 100 in Würzburg, n = 104 in Münster). Sample characteristics for both sites are comparable.DISCUSSION:
This study will offer cross-validated theranostic markers for predicting the individual success of exposure-based therapy. Findings will support clinical decision-making on personalized therapy, bridge the gap between basic and clinical research, and bring stratified therapy into reach. The study is registered at ClinicalTrials.gov (ID NCT03208400).Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Transtornos Fóbicos
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Avaliação de Resultados em Cuidados de Saúde
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Terapia de Exposição à Realidade Virtual
Tipo de estudo:
Clinical_trials
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Guideline
/
Prognostic_studies
Limite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
Int J Methods Psychiatr Res
Assunto da revista:
PSIQUIATRIA
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Alemanha