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Identifying patients with therapy-resistant depression by using factor analysis

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Andreasson, K ; Liest, V ; Lunde, M ; Martiny, Klaus Per Juul ; Unden, M ; Dissing, S ; Bech, P. / Identifying patients with therapy-resistant depression by using factor analysis. In: Pharmacopsychiatry. 2010 ; Vol. 43, No. 7. pp. 252-6.

Bibtex

@article{a14c83ae4afc4b19978164b8fe8f7a40,
title = "Identifying patients with therapy-resistant depression by using factor analysis",
abstract = "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.",
author = "K Andreasson and V Liest and M Lunde and Martiny, {Klaus Per Juul} and M Unden and S Dissing and P Bech",
note = "{\textcopyright} Georg Thieme Verlag KG Stuttgart · New York.",
year = "2010",
month = nov,
day = "1",
doi = "10.1055/s-0030-1263166",
language = "English",
volume = "43",
pages = "252--6",
journal = "Pharmacopsychiatry",
issn = "0176-3679",
publisher = "Georg/Thieme Verlag",
number = "7",

}

RIS

TY - JOUR

T1 - Identifying patients with therapy-resistant depression by using factor analysis

AU - Andreasson, K

AU - Liest, V

AU - Lunde, M

AU - Martiny, Klaus Per Juul

AU - Unden, M

AU - Dissing, S

AU - Bech, P

N1 - © Georg Thieme Verlag KG Stuttgart · New York.

PY - 2010/11/1

Y1 - 2010/11/1

N2 - 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.

AB - 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.

U2 - 10.1055/s-0030-1263166

DO - 10.1055/s-0030-1263166

M3 - Journal article

C2 - 20821367

VL - 43

SP - 252

EP - 256

JO - Pharmacopsychiatry

JF - Pharmacopsychiatry

SN - 0176-3679

IS - 7

ER -

ID: 30980641