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Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables
Scientific Reports, 8 (2018), 1; 5530. https://doi.org/10.1038/s41598-018-23584-z
Iniesta, Raquel; Hodgson, Karen; Stahl, Daniel; Malki, Karim; Maier, Wolfgang; Rietschel, Marcella; Mors, Ole; Hauser, Joanna; Henigsberg, Neven; Dernovsek, Mojca Zvezdana; Souery, Daniel; Dobson, Richard; Aitchison, Katherine J.; Farmer, Anne; McGuffin, Peter; Lewis, Cathryn M.; Uher, Rudolf Više autora...

Institucijski repozitorij: Dr Med - digitalni repozitorij Medicinskog fakulteta Sveučilišta u Zagrebu

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Iniesta, R., Hodgson, K., Stahl, D., Malki, K., Maier, W., Rietschel, M. ... Uher, R. (2018). Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables. Scientific Reports, 8. (1), 5530. doi: 10.1038/s41598-018-23584-z

Iniesta, Raquel, et al. "Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables." Scientific Reports, vol. 8, br. 1, 2018, str. 5530. https://doi.org/10.1038/s41598-018-23584-z

Iniesta, Raquel, Karen Hodgson, Daniel Stahl, Karim Malki, Wolfgang Maier, Marcella Rietschel, Ole Mors, et al. "Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables." Scientific Reports 8, br. 1 (2018): 5530. https://doi.org/10.1038/s41598-018-23584-z

Iniesta, R., et al. (2018) 'Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables', Scientific Reports, 8(1), str. 5530. doi: 10.1038/s41598-018-23584-z

Iniesta R, Hodgson K, Stahl D, Malki K, Maier W, Rietschel M, i sur.. Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables. Scientific Reports [Internet]. 03.04.2018. [pristupljeno 22.11.2024.];8(1):5530. doi: 10.1038/s41598-018-23584-z

R. Iniesta, et al., "Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables", Scientific Reports, vol. 8, br. 1, str. 5530, Travanj 2018. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:105:119521. [Citirano: 22.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:105:119521
Podaci o radu
Naslov (engleski)Antidepressant drug-specific prediction of depression treatment outcomes from genetic and clinical variables
AutorRaquel Iniesta
AutorKaren Hodgson
AutorDaniel Stahl
AutorKarim Malki
AutorWolfgang Maier
AutorMarcella Rietschel
AutorOle Mors
AutorJoanna Hauser
AutorNeven Henigsberg
AutorMojca Zvezdana Dernovsek
AutorDaniel Souery
AutorRichard Dobson
AutorKatherine J. Aitchison
AutorAnne Farmer
AutorPeter McGuffin
AutorCathryn M. Lewis
AutorRudolf Uher
Autorova ustanovaSveučilište u Zagrebu
Medicinski fakultet
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Temeljne medicinske znanosti
Sažetak (engleski)
Individuals with depression differ substantially in their response to treatment with antidepressants. Specific predictors explain only a small proportion of these differences. To meaningfully predict who will respond to which antidepressant, it may be necessary to combine multiple biomarkers and clinical variables. Using statistical learning on common genetic variants and clinical information in a training sample of 280 individuals randomly allocated to 12-week treatment with antidepressants escitalopram or nortriptyline, we derived models to predict remission with each antidepressant drug. We tested the reproducibility of each prediction in a validation set of 150 participants not used in model derivation. An elastic net logistic model based on eleven genetic and six clinical variables predicted remission with escitalopram in the validation dataset with area under the curve 0.77 (95%CI; 0.66-0.88; p = 0.004), explaining approximately 30% of variance in who achieves remission. A model derived from 20 genetic variables predicted remission with nortriptyline in the validation dataset with an area under the curve 0.77 (95%CI; 0.65-0.90; p < 0.001), explaining approximately 36% of variance in who achieves remission. The predictive models were antidepressant drug-specific. Validated drug-specific predictions suggest that a relatively small number of genetic and clinical variables can help select treatment between escitalopram and nortriptyline.
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaScientific Reports
Brojčani podacivol. 8, br. 1, str. 5530
p-ISSN2045-2322
DOIhttps://doi.org/10.1038/s41598-018-23584-z
URN:NBNurn:nbn:hr:105:119521
Datum objave publikacije2018-04-03
URL dokumentahttps://doi.org/10.1038/s41598-018-23584-z
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-03-28 10:03:50