A rest-activity biomarker to predict response to SSRIs in major depressive disorder

Journal of Psychiatric Research
W Vaughn McCall

Abstract

Most adults with Major Depressive Disorder (MDD) will not experience a remission with the first antidepressant trial. No practical biomarkers presently exist to predict responsiveness to antidepressants. Herein we report pilot data for a rest-activity biomarker of antidepressant response. Fifty-eight medication-free adults with MDD underwent a week-long collection of actigraphic data before beginning a 9 week open label trial of fluoxetine, coupled with blinded randomized assignment to eszopiclone/placebo. Depression severity was repeatedly measured with the Hamilton Rating Scale for Depression (HRSD). Baseline actigraphic data was analyzed with functional data analysis to create smoothed 24-h curves of activity. The time of the lowest point of activity (the bathyphase) was calculated for each patient, as well the mean difference between bedtime and the bathyphase (BBD). At the end of treatment, patients were characterized as treatment responders (50% reduction in HRSD) or non-responders, and receiver operating curves were calculated to find the optimal cut point of the BBD for prediction of treatment response. The best cut point for BBD was at 260.2 min, resulting in an effect size of 1.45, and with a positive predictive value...Continue Reading

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Citations

Aug 1, 2015·Journal of Psychiatric Research·Stephen F Smagula
Feb 3, 2016·PLoS Medicine·Lukasz PiwekAdam Joinson
Jun 13, 2018·Advanced Materials·Ali K YetisenHaider Butt
Feb 9, 2018·The Australian and New Zealand Journal of Psychiatry·Ian Re AverillRichard J Porter
Aug 14, 2020·Ciência & saúde coletiva·Renato Henrique Verzani, Adriane Beatriz de Souza Serapião
Sep 21, 2019·The American Journal of Psychiatry·William V McCallAndrew D Krystal

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