Identifying patients with therapy-resistant depression by using factor analysis.
Pharmacopsychiatry
; 43(7): 252-6, 2010 Nov.
Article
en En
| MEDLINE
| ID: mdl-20821367
INTRODUCTION: Attempts to identify the factor structure in patients with treatment-resistant depression have been very limited. METHODS: Principal component analysis was performed using the baseline datasets from 3 add-on studies [2 with repetitive transcranial magnetic stimulation and one with transcranial pulsed electromagnetic fields (T-PEMF)], in which the relative effect as percentage of improvement during the treatment period was analysed. RESULTS: We identified 2 major factors, the first of which was a general factor. The second was a dual factor consisting of a depression subscale comprising the negatively loaded items (covering the pure depression items) and a treatment resistant subscale comprising the positively loaded items (covering lassitude, concentration difficulties and sleep problems). These 2 dual subscales were used as outcome measures. Improvement on the treatment resistant subscale was 40% in the active treatment group compared to 17-30% improvement in the sham treatments. DISCUSSION: It is possible to describe patients with therapy-resistant depression by a factor structure. Both rTMS and T-PEMF had a clinical effect on the factor-derived scales when compared to sham treatment.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Trastorno Depresivo Mayor
/
Antidepresivos
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
Límite:
Female
/
Humans
/
Male
Idioma:
En
Revista:
Pharmacopsychiatry
Año:
2010
Tipo del documento:
Article
País de afiliación:
Dinamarca
Pais de publicación:
Alemania