Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-05T02:03:09.309Z Has data issue: false hasContentIssue false

Association between psychomotor disturbance and treatment outcome in psychotic depression: a STOP-PD II report

Published online by Cambridge University Press:  26 March 2021

Alastair J. Flint*
Affiliation:
The Department of Psychiatry, University of Toronto, Toronto, Canada Centre for Mental Health, University Health Network, Toronto, Canada
Kathleen S. Bingham
Affiliation:
The Department of Psychiatry, University of Toronto, Toronto, Canada Centre for Mental Health, University Health Network, Toronto, Canada Centre for Addiction and Mental Health, Toronto, Canada
Nicholas H. Neufeld
Affiliation:
The Department of Psychiatry, University of Toronto, Toronto, Canada Centre for Addiction and Mental Health, Toronto, Canada
George S. Alexopoulos
Affiliation:
Department of Psychiatry, Weill Cornell Medicine of Cornell University and New York Presbyterian Hospital, Westchester Division, New York, NY, USA
Benoit H. Mulsant
Affiliation:
The Department of Psychiatry, University of Toronto, Toronto, Canada Centre for Addiction and Mental Health, Toronto, Canada
Anthony J. Rothschild
Affiliation:
University of Massachusetts Medical School and UMass Memorial Health Care, Worcester, MA, USA
Ellen M. Whyte
Affiliation:
Department of Psychiatry, University of Pittsburgh School of Medicine and UPMC Western Psychiatric Hospital, Pittsburgh, PA, USA
Aristotle N. Voineskos
Affiliation:
The Department of Psychiatry, University of Toronto, Toronto, Canada Centre for Addiction and Mental Health, Toronto, Canada
Patricia Marino
Affiliation:
Department of Psychiatry, Weill Cornell Medicine of Cornell University and New York Presbyterian Hospital, Westchester Division, New York, NY, USA
Barnett S. Meyers
Affiliation:
Department of Psychiatry, Weill Cornell Medicine of Cornell University and New York Presbyterian Hospital, Westchester Division, New York, NY, USA
*
Author for correspondence: Alastair J. Flint, Email: [email protected]

Abstract

Background

Little is known about the relationship between psychomotor disturbance (PMD) and treatment outcome of psychotic depression. This study examined the association between PMD and subsequent remission and relapse of treated psychotic depression.

Methods

Two hundred and sixty-nine men and women aged 18–85 years with an episode of psychotic depression were treated with open-label sertraline plus olanzapine for up to 12 weeks. Participants who remained in remission or near-remission following an 8-week stabilization phase were eligible to participate in a 36-week randomized controlled trial (RCT) that compared the efficacy and tolerability of sertraline plus olanzapine (n = 64) with sertraline plus placebo (n = 62). PMD was measured with the psychiatrist-rated sign-based CORE at acute phase baseline and at RCT baseline. Spearman's correlations and logistic regression analyses were used to analyze the association between CORE total score at acute phase baseline and remission/near-remission and CORE total score at RCT baseline and relapse.

Results

Higher CORE total score at acute phase baseline was associated with lower frequency of remission/near-remission. Higher CORE total score at RCT baseline was associated with higher frequency of relapse, in the RCT sample as a whole, as well as in each of the two randomized groups.

Conclusions

PMD is associated with poorer outcome of psychotic depression treated with sertraline plus olanzapine. Future research needs to examine the neurobiology of PMD in psychotic depression in relation to treatment outcome.

Type
Original Article
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alexopoulos, G. S., Meyers, B. S., Young, R. C., Kalayam, B., Kakuma, T., Gabrelle, M., … Hull, J. (2000). Executive dysfunction and long-term outcomes of geriatric depression. Archives of General Psychiatry, 57, 285290.CrossRefGoogle ScholarPubMed
Bondareff, W., Alpert, M., Friedhoff, A. J., Richter, E. M., Clary, C. M., & Batzar, E. (2000). Comparison of sertraline and nortriptyline in the treatment of major depressive disorder in late life. American Journal of Psychiatry, 157, 729736.CrossRefGoogle ScholarPubMed
Brodaty, H., Luscombe, G., Parker, G., Wilhelm, K., Hickie, I., Austin, M. P., & Mitchell, P. (1997). Increased rate of psychosis and psychomotor change in depression with age. Psychological Medicine, 27, 12051213.CrossRefGoogle ScholarPubMed
Buckman, J. E. J., Underwood, A., Clarke, K., Saunders, R., Hollon, S. D., Fearon, P., & Pilling, S. (2018). Risk factors for relapse and recurrence of depression in adults and how they operate: A four-phase systematic review and meta-synthesis. Clinical Psychology Review, 64, 1338.CrossRefGoogle ScholarPubMed
Burns, R. A., Lock, T., Edwards, D. R., Katona, C. L., Harrison, D. A., Robertson, M. M., … Abou-Saleh, M. T. (1995). Predictors of response to amine-specific antidepressants. Journal of Affective Disorders, 135, 97106.CrossRefGoogle Scholar
Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., … Corlett, P. R. (2016). Cross-trial prediction of treatment outcome in depression: A machine learning approach. The Lancet. Psychiatry, 3, 243250.CrossRefGoogle ScholarPubMed
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Lawrence Erlbaum.Google Scholar
Delis, D., Kaplan, E., & Kramer, J. (2001). Delis-Kaplan executive function scale. San Antonio, TX: The Psychological Corporation.Google Scholar
Duggan, C. F., Lee, A. S., & Murray, R. M. (1991). Do different subtypes of hospitalized depressives have different long-term outcomes? Archives of General Psychiatry, 48, 308312.CrossRefGoogle ScholarPubMed
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (2001). Structured clinical interview for DSM-IV-TR axis I disorders - patient edition (SCID-I/P). New York: Biometrics Research Department.Google Scholar
Flament, M. F., Lane, R. M., Zhu, R., & Ying, Z. (1999). Predictors of an acute antidepressant response to fluoxetine and sertraline. International Clinical Psychopharmacology, 14, 259275.CrossRefGoogle ScholarPubMed
Flint, A. J., Meyers, B. S., Rothschild, A. J., Whyte, E. M., Alexopoulos, G. S., Rudorfer, M. V., … STOP-PD II Study Group (2019) Effect of continuing olanzapine versus placebo on relapse among patients with psychotic depression in remission: The STOP-PD II randomized clinical trial. Journal of the American Medical Association 322, 622631.CrossRefGoogle Scholar
Flint, A. J., Meyers, B. S., Rothschild, A. J., Whyte, E. M., Mulsant, B. H., Rudorfer, M. V., & Marino, P., STOP-PD II Study Group (2013) Sustaining remission of psychotic depression: Rationale, design and methodology of STOP-PD II. BMC Psychiatry 13, 3849.CrossRefGoogle ScholarPubMed
Folstein, M., Folstein, S., & McHugh, P. (1975). ‘Mini mental state’: A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12, 189198.CrossRefGoogle Scholar
Groves, S. J., Douglas, K. M., & Porter, R. J. (2018). A systematic review of cognitive predictors of treatment outcome in major depression. Frontiers in Psychiatry, 9, 382.CrossRefGoogle ScholarPubMed
Guy, W. (1976). Clinical global impressions. In Guy, W (Ed.), ECDEU Assessment manual for psychopharmacology (pp. 217222). Washington, DC, US: Dept. of Health, Education, and Welfare.Google Scholar
Hamilton, M. (1960). A rating scale for depression. Journal of Neurology Neurosurgery and Psychiatry, 23, 5662.CrossRefGoogle ScholarPubMed
Hardeveld, F., Spijker, J., De Graaf, R., Nolen, W. A., & Beekman, A. T. F. (2010). Prevalence and predictors of recurrence of major depressive disorder in the adult population. Acta Psychiatrica Scandinavia, 122, 184191.CrossRefGoogle ScholarPubMed
Heijnen, W. T. C. J., Kamperman, A. M., Tjokrodipo, L. D., Hoogendijk, W. J. G., van den Broek, W. W., & Birkenhager, T. K. (2019). Influence of age on ECT efficacy in depression and the mediating role of psychomotor retardation and psychotic features. Journal of Psychiatric Research, 109, 4147.CrossRefGoogle ScholarPubMed
Hyett, M. P., Breakspear, M., Friston, K. J., Guo, C. C., & Parker, G. B. (2015). Disrupted effective connectivity of cortical systems supporting attention and interoception in melancholia. JAMA Psychiatry, 72, 350358.CrossRefGoogle ScholarPubMed
Hyett, M. P., Perry, A., Breakspear, M., Wen, W., & Parker, G. B. (2018). White matter alterations in the internal capsule and psychomotor impairment in melancholic depression. PLoS One, 13(4), e0195672. doi: 10.1371/journal.pone.0195672CrossRefGoogle ScholarPubMed
Janzing, J. G. E., Birkenhager, T. K., van den Broek, W. W., Breteler, L. M. T., Nolen, W. A., & Verkes, R.-J. (2020). Psychomotor retardation and the prognosis of antidepressant treatment in patients with unipolar psychotic depression. Journal of Psychiatric Research, 130, 321326.CrossRefGoogle ScholarPubMed
Jorm, A. F. (2004). The informant questionnaire on cognitive decline in the elderly (IQCODE): A review. International Psychogeriatrics, 16, 275293.CrossRefGoogle ScholarPubMed
Joyce, P. R., Mulder, R. T., Luty, S. E., McKenzie, J. M., Sullivan, P. F., Abbott, R. M., & Stevens, I. F. (2002). Melancholia: Definitions, risk factors, personality, neuroendocrine markers and differential antidepressant response. Australian and New Zealand Journal of Psychiatry, 36, 376383.CrossRefGoogle ScholarPubMed
Kemp, A. H., Gordon, E., Rush, A. J., & Williams, L. M. (2008). Improving the prediction of treatment response in depression: Integration of clinical, cognitive, psychophysiological, neuroimaging, and genetic measures. CNS Spectrum, 13, 10661086.CrossRefGoogle ScholarPubMed
Laakmann, G., Blaschke, D., Engel, R., & Schvjarz, A. (1998). Fluoxetine vs amitriptyline in the treatment of depressed out-patients. British Journal of Psychiatry, 153(suppl. 3), 6468.CrossRefGoogle Scholar
Liberg, B., & Rahm, C. (2015). The functional anatomy of psychomotor disturbances in major depressive disorder. Frontiers in Psychiatry, 6, 34. doi: 10.3389/fpsyt.2015.00034CrossRefGoogle ScholarPubMed
Miller, M. D., Paradis, C. F., Houck, P. R., Mazumdar, S., Stack, J. A., Rifai, A. H., … Reynolds, C. F. 3rd. (1992) Rating chronic medical illness burden in geropsychiatric practice and research: Application of the cumulative illness rating scale. Psychiatry Research 41, 237248.CrossRefGoogle ScholarPubMed
Navarro, V., Gasto, C., Torres, X., Marcos, T., & Pintor, L. (2001). Citalopram versus nortriptyline in late-life depression: A 12-week randomized single-blind study. Acta Psychiatrica Scandinavia, 103, 435440.CrossRefGoogle ScholarPubMed
Oquendo, M. A., Baca-Garcia, E., Kartachov, A., Khait, V., Campbell, C. E., & Richards, M. (2003). A computer algorithm for calculating the adequacy of antidepressant treatment in unipolar and bipolar depression. Journal of Clinical Psychiatry, 64, 825833.CrossRefGoogle ScholarPubMed
Parker, G., & Hadzi-Pavlovic, D. (1996a). Melancholia: A disorder of movement and mood. New York: Cambridge University Press.CrossRefGoogle Scholar
Parker, G., & Hadzi-Pavlovic, D. (1996b). Development and structure of the CORE system. In Parker, G., & Hadzi-Pavlovic, D. (Eds.), Melancholia: A disorder of movement and mood (pp. 82129). New York: Cambridge University Press.CrossRefGoogle Scholar
Parker, G., Hickie, I., & Hadzi-Pavlovic, D. (1996). Psychotic depression: Clinical definition, status, and the relevance of psychomotor disturbance to its definition. In Parker, G., & Hadzi-Pavlovic, D. (Eds.), Melancholia: A disorder of movement and mood (pp. 179201). New York: Cambridge University Press.CrossRefGoogle Scholar
Parker, G., Hickie, I., & Mason, C. (1996). Validity of the CORE measure: III. Outcome and treatment prediction. In Parker, G., & Hadzi-Pavlovic, D. (Eds.), Melancholia: A disorder of movement and mood (pp. 160171). New York: Cambridge University Press.CrossRefGoogle Scholar
Parker, G., & McCraw, S. (2017). The properties and utility of the CORE measure of melancholia. Journal of Affective Disorders, 207, 128135.CrossRefGoogle ScholarPubMed
Perlman, K., Benrimoh, D., Israel, S., Rollins, C., Brown, E., Tunteng, J. F., … Berlim, M. T. (2019). A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. Journal of Affective Disorders, 243, 503515.CrossRefGoogle ScholarPubMed
Rush, A. J., Kraemer, H. C., Sackeim, H. A., Fava, M., Trivedi, M. H., Frank, E., … Schatzberg, A. F. and the ACNP Task Force (2006) Report by the ACNP Task Force on response and remission in major depressive disorder. Neuropsychopharmacology 31, 18411853.CrossRefGoogle ScholarPubMed
Sakurai, H., Suzuki, T., Yoshimura, K., Mimura, M., & Uchida, H. (2017). Predicting relapse with individual residual symptoms in major depressive disorder: A reanalysis of the STAR*D data. Psychopharmacology, 234, 24532461.CrossRefGoogle ScholarPubMed
Salvatore, P., Baldessarini, R. J., Khalsa, H. M., Amore, M., Di Vittorio, C., Ferraro, G., … Tohen, M. (2013). Predicting diagnostic change among patients diagnosed with first-episode DSM-IV-TR major depressive disorder with psychotic features. Journal of Clinical Psychiatry, 74, 723731.CrossRefGoogle ScholarPubMed
Schrijvers, D., Hulstijn, W., & Sabbe, B. G. C. (2008). Psychomotor symptoms in depression: A diagnostic, pathophysiological and therapeutic tool. Journal of Affective Disorders, 109, 120.CrossRefGoogle ScholarPubMed
Sechter, D., Vandel, P., Weiller, E., Pezous, N., Cabanac, F., & Tournoux, A. (2004). A comparative study of milnacipran and paroxetine in outpatients with major depression. Journal of Affective Disorders, 83, 233236.CrossRefGoogle ScholarPubMed
Sobin, C., & Sackeim, H. A. (1997). Psychomotor symptoms of depression. American Journal of Psychiatry, 154, 417.Google ScholarPubMed
Spitzer, R. L., & Endicott, J. (1979). Schedule for affective disorders and schizophrenia (third edition). New York: New York State Psychiatric Institute, Biometrics Research.Google Scholar
Taylor, B. P., Bruder, G. E., Stewart, J. W., McGrath, P. J., Halperin, J., Ehrlichman, H., & Quitkin, F. M. (2006). Psychomotor slowing as a predictor of fluoxetine nonresponse in depressed outpatients. American Journal of Psychiatry, 163, 7378.CrossRefGoogle ScholarPubMed
Ulbricht, C. M., Dumenci, L., Rothschild, A. J., & Lapane, K. L. (2018). Changes in depression subtypes among men in STAR*D: A latent transition analysis. American Journal of Men's Health, 12, 513.CrossRefGoogle ScholarPubMed
Wilhelm, K. (1996). Rating the CORE: A user's guide. In Parker, G., & Hadzi-Pavlovic, D. (Eds.), Melancholia: A disorder of movement and mood (pp. 211219). New York: Cambridge University Press.CrossRefGoogle Scholar
Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavia, 67, 361370.CrossRefGoogle ScholarPubMed