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Combining clinical variables to optimize prediction of antidepressant treatment outcomes
Journal of Psychiatric Research, 78 (2016); 94-102. https://doi.org/10.1016/j.jpsychires.2016.03.016
Iniesta, Raquel; Malki, Karim; Maier, Wolfgang; Rietschel, Marcella; Mors, Ole; Hauser, Joanna; Henigsberg, Neven; Dernovsek, Mojca Zvezdana; Souery, Daniel; Stahl, Daniel; Dobson, Richard; Aitchison, Katherine J.; Farmer, Anne; Lewis, Cathryn M.; McGuffin, Peter; Uher, Rudolf Više autora...

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Iniesta, R., Malki, K., Maier, W., Rietschel, M., Mors, O., Hauser, J. ... Uher, R. (2016). Combining clinical variables to optimize prediction of antidepressant treatment outcomes. Journal of Psychiatric Research, 78., 94-102. doi: 10.1016/j.jpsychires.2016.03.016

Iniesta, Raquel, et al. "Combining clinical variables to optimize prediction of antidepressant treatment outcomes." Journal of Psychiatric Research, vol. 78, 2016, str. 94-102. https://doi.org/10.1016/j.jpsychires.2016.03.016

Iniesta, Raquel, Karim Malki, Wolfgang Maier, Marcella Rietschel, Ole Mors, Joanna Hauser, Neven Henigsberg, et al. "Combining clinical variables to optimize prediction of antidepressant treatment outcomes." Journal of Psychiatric Research 78 (2016): 94-102. https://doi.org/10.1016/j.jpsychires.2016.03.016

Iniesta, R., et al. (2016) 'Combining clinical variables to optimize prediction of antidepressant treatment outcomes', Journal of Psychiatric Research, 78, str. 94-102. doi: 10.1016/j.jpsychires.2016.03.016

Iniesta R, Malki K, Maier W, Rietschel M, Mors O, Hauser J, i sur.. Combining clinical variables to optimize prediction of antidepressant treatment outcomes. Journal of Psychiatric Research [Internet]. 07.2016. [pristupljeno 28.04.2024.];78:94-102. doi: 10.1016/j.jpsychires.2016.03.016

R. Iniesta, et al., "Combining clinical variables to optimize prediction of antidepressant treatment outcomes", Journal of Psychiatric Research, vol. 78, str. 94-102, Srpanj 2016. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:431320. [Citirano: 28.04.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:431320
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Podaci o radu
Naslov (engleski)Combining clinical variables to optimize prediction of antidepressant treatment outcomes
AutorRaquel Iniesta
AutorKarim Malki
AutorWolfgang Maier
AutorMarcella Rietschel
AutorOle Mors
AutorJoanna Hauser
AutorNeven Henigsberg
AutorMojca Zvezdana Dernovsek
AutorDaniel Souery
AutorDaniel Stahl
AutorRichard Dobson
AutorKatherine J. Aitchison
AutorAnne Farmer
AutorCathryn M. Lewis
AutorPeter McGuffin
AutorRudolf Uher
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Temeljne medicinske znanosti
Sažetak (engleski)
The outcome of treatment with antidepressants varies markedly across people with the same diagnosis. A clinically significant prediction of outcomes could spare the frustration of trial and error approach and improve the outcomes of major depressive disorder through individualized treatment selection. It is likely that a combination of multiple predictors is needed to achieve such prediction. We used elastic net regularized regression to optimize prediction of symptom improvement and remission during treatment with escitalopram or nortriptyline and to identify contributing predictors from a range of demographic and clinical variables in 793 adults with major depressive disorder. A combination of demographic and clinical variables, with strong contributions from symptoms of depressed mood, reduced interest, decreased activity, indecisiveness, pessimism and anxiety significantly predicted treatment outcomes, explaining 5-10% of variance in symptom improvement with escitalopram. Similar combinations of variables predicted remission with area under the curve 0.72, explaining approximately 15% of variance (pseudo R(2)) in who achieves remission, with strong contributions from body mass index, appetite, interest-activity symptom dimension and anxious-somatizing depression subtype. Escitalopram-specific outcome prediction was more accurate than generic outcome prediction, and reached effect sizes that were near or above a previously established benchmark for clinical significance. Outcome prediction on the nortriptyline arm did not significantly differ from chance. These results suggest that easily obtained demographic and clinical variables can predict therapeutic response to escitalopram with clinically meaningful accuracy, suggesting a potential for individualized prescription of this antidepressant drug.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaJournal of Psychiatric Research
Brojčani podacivol. 78, str. 94-102
p-ISSN0022-3956
DOIhttps://doi.org/10.1016/j.jpsychires.2016.03.016
URN:NBNurn:nbn:hr:105:431320
Datum objave publikacije2016-07
URL dokumentahttps://doi.org/10.1016/j.jpsychires.2016.03.016
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-03-28 08:48:12