Optimization of IV Ketamine for Treatment Resistant Depression

In this study we are investigating whether ketamine can have an antidepressant effect compared to midazolam. Midazolam has similar anesthetic effects compared to ketamine but has not been shown to be an antidepressant, and is therefore acting as an active control in this study.

Status Completed
Results Published
Start date 11 January 2008
End date 11 January 2012
Chance of happening 100%
Phase Phase II
Design Blinded
Type Interventional
Generation First
Participants 73
Sex All
Age 21- 80
Therapy No

Trial Details

Existing treatments for major depressive disorder (MDD) generally take weeks to months to exert their maximal benefit. There is an urgent need to develop rapid-acting treatments for MDD. Ketamine, a high-affinity N-methyl-D-aspartate (NMDA) glutamate receptor antagonist, has been used as a standard intravenous (IV) anesthetic agent for many years in both pediatric and adult patients. Beyond its well-established role in anesthesia and pain management, there is emerging evidence that ketamine may have rapid antidepressant properties for patients with severe mood disorders. In this study we are investigating whether ketamine can have an antidepressant effect compared to midazolam. Midazolam has similar anesthetic effects compared to ketamine but has not been shown to be an antidepressant, and is therefore acting as an active control in this study. The study period can last up to 8 weeks, depending on your response to the study medication. There are two required overnight stays in our Research Commons as part of this study.

NCT Number NCT00768430

Sponsors & Collaborators

Baylor College of Medicine
This company doesn't have a full profile yet, it is linked to a clinical trial.

Icahn School of Medicine at Mount Sinai
This company doesn't have a full profile yet, it is linked to a clinical trial.

Measures Used

Montgomery-Asberg Depression Rating Scale
A ten-item diagnostic questionnaire used to measure the severity of depressive symptoms in patients with mood disorders.

Data attribution

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