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Biomarkers for Outcomes In Late-life Depression (BOLD)

This study has been completed.
Sponsor:
Collaborator:
Information provided by (Responsible Party):
Ian A. Cook, M.D., National Institute of Mental Health (NIMH)
ClinicalTrials.gov Identifier:
NCT01082237
First received: March 5, 2010
Last updated: April 15, 2013
Last verified: April 2013

March 5, 2010
April 15, 2013
October 2009
October 2012   (final data collection date for primary outcome measure)
Score on Hamilton Depression Rating Scale (HAM-D) [ Time Frame: Measured nine times over 8 weeks ] [ Designated as safety issue: No ]
Same as current
Complete list of historical versions of study NCT01082237 on ClinicalTrials.gov Archive Site
Score on Inventory of Depressive Symptomatology-Clinician Rated (IDS-C30) [ Time Frame: Measured nine times over 8 weeks ] [ Designated as safety issue: No ]
Same as current
Not Provided
Not Provided
 
Biomarkers for Outcomes In Late-life Depression (BOLD)
Biomarkers for Outcomes In Late-life Depression

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.

Not Provided
Interventional
Phase 4
Intervention Model: Single Group Assignment
Masking: Open Label
Primary Purpose: Treatment
Major Depressive Disorder
Drug: Escitalopram
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
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.
Intervention: Drug: Escitalopram
Not Provided

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
 
Completed
80
October 2012
October 2012   (final data collection date for primary outcome measure)

Inclusion Criteria:

  • 62 years of age or older
  • Meet the DSM-IV diagnosis of MDD based on Sheehan's Mini-International Neuropsychiatric Interview (MINI), with a score of > 28 on the 30-item Inventory of Depressive Symptomatology - Self Rated version (IDS-SR30)

Exclusion Criteria:

  • Subjects will have no unstable medical illness that would prevent completion of participation in the trial, determined as needed from physical examination, ECG, laboratory safety tests, as well as a review of systems
  • mentally or legally incapacitated, unable to give informed consent
  • meets DSM-IV criteria for anorexia nervosa, bulimia nervosa, obsessive-compulsive disorder, any cognitive disorder, bipolar disorder, psychotic disorder, or major depression with psychotic features
  • MMSE (Folstein et al., 1975) score ≤ 24
  • evidence of drug dependency or substance abuse within the preceding nine months
  • stable and in remission on current psychotropic medication(s)
  • any ECT within the past six months
  • failure to tolerate ESC or treatment failure with an adequate trial of ESC in the current episode
  • ESC would be contraindicated (e.g., hyponatremia with a prior SSRI)
  • treatment with fluoxetine or an MAOI within the past four weeks
  • any medical illness severe enough to significantly affect brain function or to interfere with interpretation of study results
  • history of seizures, brain surgery, skull fracture, significant head trauma, or abnormal EEG
  • psychiatric hospitalization indicated (e.g., imminent danger to self or others)
  • initial QEEG recording is contaminated with artifact so that determination of the biomarker is precluded
  • use of medications known to affect brain function (e.g., antidepressants, anticonvulsants/mood stabilizers, anticholinergics, antipsychotics, benzodiazepines - same list as in BRITE-MD)
Both
62 Years and older
No
Contact information is only displayed when the study is recruiting subjects
United States
 
NCT01082237
1RC1MH088438, 1RC1MH088438
Yes
Ian A. Cook, M.D., National Institute of Mental Health (NIMH)
University of California, Los Angeles
National Institute of Mental Health (NIMH)
Principal Investigator: Ian A Cook, MD University of California, Los Angeles
University of California, Los Angeles
April 2013

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP