Biomarkers for Outcomes In Late-life Depression (BOLD)
Major depressive disorder (MDD) is a common psychiatric illness with high cost to society and individual patients. One reason for the high cost is that most patients endure lengthy and ultimately unsuccessful empiric antidepressant trials before a successful medication is identified by trial-and-error. Care would be improved if a biomarker could determine, early in the course of treatment, whether a particular antidepressant would likely lead to response, remission, or treatment failure. Physicians could rapidly change treatments to an antidepressant which the biomarker indicated would be likely to help the patient. We have identified quantitative electroencephalographic (QEEG) changes that emerge early in the course of treatment with selective serotonin reuptake inhibitors (SSRIs) that appear to predict later response and remission in a general adult patient population. Demographic trends in the United States suggest that improved care for MDD will be essential for a growing number of elderly with late-life depression. While the consequences of prolonged trial-and-error periods to find a successful treatment are particularly inauspicious for elders with late-life depression, this patient group has not been included in the past studies which demonstrated the use of this biomarker approach in a general adult population. We propose a 12-week treatment trial to evaluate a practical biomarker for predicting outcome based on data from the first week of antidepressant treatment, with a focus only on depression in late life (age ≥65).
There are three study Hypothesis:
H1) ATR prediction of treatment outcome in older subjects will show >70% accuracy.
H2) The predictive accuracy of the model will be enhanced by including clinical, socio-demographic, and genetic predictors.
H3) The accuracy of ATR prediction will not show a significant dependence on subject gender.
|Study Design:||Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Treatment
|Official Title:||Biomarkers for Outcomes In Late-life Depression|
- Score on Hamilton Depression Rating Scale (HAM-D) [ Time Frame: Measured nine times over 8 weeks ] [ Designated as safety issue: No ]
- Score on Inventory of Depressive Symptomatology-Clinician Rated (IDS-C30) [ Time Frame: Measured nine times over 8 weeks ] [ Designated as safety issue: No ]
|Study Start Date:||October 2009|
|Study Completion Date:||October 2012|
|Primary Completion Date:||October 2012 (Final data collection date for primary outcome measure)|
Active Comparator: escitalopram
All subjects will receive escitalopram (ESC), brand name Lexapro (Forest Laboratories, Inc., New York) throughout the study. Dosing will start at 5 mg/d, be titrated to 10 mg after 4 days, and continue at 10 mg/d thereafter; an additional dose titration to 20 mg will be pursued at week 8 for those not significantly better (<50% improvement on IDS-30 at week 8 visit) and as tolerated.
Start at 5mg per day, after four days increase to 10mg per day for the duration of the study. 20 mg will be administered at week 8 if not significantly better.
Other Name: Lexapro
Please refer to this study by its ClinicalTrials.gov identifier: NCT01082237
|United States, California|
|UCLA Semel Institute|
|Los Angeles, California, United States, 90095|
|Principal Investigator:||Ian A Cook, MD||University of California, Los Angeles|