4.7 Article

Features of dissociation differentially predict antidepressant response to ketamine in treatment-resistant depression

Journal

JOURNAL OF AFFECTIVE DISORDERS
Volume 232, Issue -, Pages 310-315

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jad.2018.02.049

Keywords

Dissociation; Ketamine; Depression

Funding

  1. Intramural Research Program at the National Institute of Mental Health, National Institutes of Health (IRP-NIMH-NIH) [ZIA MH002857]
  2. Intramural Research Program at the National Institute of Mental Health, National Institutes of Health (NIH) [04-M-0222]
  3. NARSAD
  4. Brain and Behavior Mood Disorders Research Award
  5. NATIONAL INSTITUTE OF MENTAL HEALTH [ZIAMH002857] Funding Source: NIH RePORTER

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Background: Ketamine induces rapid and robust antidepressant effects, and many patients also describe dissociation, which is associated with antidepressant response. This follow-up study investigated whether antidepressant efficacy is uniquely related to dissociative symptom clusters. Methods: Treatment-resistant patients with major depressive disorder (MDD) or bipolar disorder (BD) (n=126) drawn from three studies received a single subanesthetic (0.5 mg/kg) ketamine infusion. Dissociative effects were measured using the Clinician-Administered Dissociative States Scale (CADSS). Antidepressant response was measured using the 17-item Hamilton Depression Rating Scale (HAM-D). A confirmatory factor analysis established the validity of CADSS subscales (derealization, depersonalization, amnesia), and a general linear model with repeated measures was fitted to test whether subscale scores were associated with antidepressant response. Results: Factor validity was supported, with a root mean square error of approximation of .06, a comparative fit index of .97, and a Tucker-Lewis index of .96. Across all studies and timepoints, the depersonalization subscale was positively related to HAM-D percent change. A significant effect of derealization on HAM-D percent change was observed at one timepoint (Day 7) in one study. The amnesia subscale was unrelated to HAM-D percent change. Limitations: Possible inadequate blinding; combined MDD/BD datasets might have underrepresented ketamine's antidepressant efficacy; the possibility of Type I errors in secondary analyses. Conclusions: From a psychometric perspective, researchers may elect to administer only the CADSS depersonalization subscale, given that it was most closely related to antidepressant response. From a neurobiological perspective, mechanistic similarities may exist between ketamine-induced depersonalization and antidepressant response, although off-target effects cannot be excluded.

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