Elsevier

Journal of Psychiatric Research

Volume 71, December 2015, Pages 140-147
Journal of Psychiatric Research

Side-effects of SSRIs disrupt multimodal treatment for pediatric OCD in a randomized-controlled trial

https://doi.org/10.1016/j.jpsychires.2015.10.006Get rights and content

Highlights

  • We use advanced statistical modeling to study Activation Syndrome.

  • Activation Syndrome disrupts multimodal treatment for Obsessive-Compulsive Disorder.

  • Irritability, akathisia, and disinhibition are most associated with worse outcome.

  • Weekly changes in irritability can immediately disrupt treatment.

Abstract

Objective

Activation Syndrome (AS) is a side-effect of antidepressants consisting of irritability, mania, self-harm, akathisia, and disinhibition. The current study was conducted to analyze how AS may hinder treatment outcome for multimodal treatment for children and adolescents with Obsessive-Compulsive Disorder.

Methods

Fifty-six children or adolescents were recruited at two treatment sites in a double-blind randomized-controlled trial where participants received Cognitive-Behavioral Therapy and were randomized to slow titration of sertraline, regular titration of sertraline or placebo.

Results

Using a recently developed measure of AS, results suggested that higher average levels of irritability, akathisia, and disinhibition significantly interfered with treatment response and explained 18% of the variance in obsessive-compulsive symptoms during treatment. Interestingly, only session-to-session increases in irritability resulted in a session-to-session increase in obsessive-compulsive symptoms. The observed results were unchanged with the addition of SSRI dosage as a covariate.

Conclusions

Results provide empirical support for the proposed hypothesis that AS may hinder multimodal treatment outcome for pediatric OCD. These findings suggest that dosage changes due to AS do not explain why those with higher AS had worse multimodal outcome. Other possible mechanisms explaining this observed disruption are proposed, including how AS may interfere with Cognitive-Behavioral Therapy.

Introduction

In 2004, the United States Food and Drug Administration (FDA) issued a “Black Box Warning” on antidepressants such as selective serotonin reuptake inhibitors (SSRIs), cautioning that these medications were associated with increased suicidality in children and adolescents (FDA, 2004). According to this FDA report, suicidal thoughts and behaviors were twice as high in children taking antidepressants (4%) compared to placebo (2%) in a pooled analysis of clinical trials. Research spurred by the warning has identified several behavioral side-effects of SSRIs beyond suicidality, including anxiety, agitation, panic attacks, insomnia, irritability, aggressiveness, impulsivity, psychomotor restlessness, hypomania, and mania (Murphy et al., 2008, Sinclair et al., 2009).

A variety of terms refer to these symptoms, including jitteriness/anxiety syndrome (Sinclair et al., 2009) or activation syndrome (AS; Murphy et al., 2008), the latter being the title used in this manuscript. Activation Syndrome has been estimated to occur in 4–65% of children taking SSRIs (Sinclair et al., 2009). The variability of this estimate is largely due to an absence of any comprehensive assessment measure of AS. Recently, the Treatment-Emergent Activation and Suicidality Assessment Profile (TEASAP) was developed to remedy this problem, providing a psychometrically validated method to comprehensively assess AS in children and adolescents receiving SSRI treatment (Bussing et al., 2013). The measure identifies five clusters of SSRI-induced side effects, including irritability, akathisia, disinhibition, mania, and self-harm. Utilizing this new measure, clinicians are now better positioned to track AS during SSRI administration and may be more effective at modulating dosage if AS emerges.

Indeed, adverse side-effects from antidepressants have been repeatedly linked to treatment discontinuation (e.g. Goldstein and Goodnick, 1998, Safer and Zito, 2006, Bloch et al., 2010, Schirman et al., 2010). While SSRIs are both safer and more tolerable than older medications like tricylclic antidepressants, meta-analytic findings suggest that up to 12–26% of patients taking SSRIs may drop out due to side-effects (Anderson, 2000, Usala et al., 2008). In addition to being more likely to drop-out, some older research suggests that antidepressant side-effects may hinder pharmacological treatment outcome (e.g. Gorman et al., 1987, Pohl et al., 1988), though these studies were limited by small sample size (Gorman et al., 1987), investigated currently outdated antidepressants (Pohl et al., 1988), and lacked a psychometrically validated measure of these side effects. To the best of the authors' knowledge, no study to date has further investigated how side effects may interfere with pharmacological or multimodal treatment outcome beyond these two older studies. These types of analyses are likely underreported because of methodological complications. Without advanced statistical modeling, it could be difficult to have enough power to analyze the impact of side effects that are waxing and waning throughout treatment. As stated above, a comprehensive measure of AS has only recently been developed as a tool towards this endeavor.

Multimodal treatment, or combined pharmacology-psychotherapy, has been identified as an effective and efficacious treatment for a variety of internalizing disorders (Davidson, 2010, Walkup et al., 2008), including Obsessive-Compulsive Disorder (OCD; Geller and March, 2012, Koran et al., 2007). Considering that Cognitive-Behavioral Therapy with Exposure and Response Prevention (CBT-ERP; Franklin et al., 2015) and SSRIs (Sánchez-meca et al., 2014) each have moderate to large treatment effect sizes for pediatric OCD, it is logical that a multimodal approach would be the first-line treatment regimen for this population (see Jordan et al., 2012 for a review). Combined CBT-ERP with SSRI is currently recommended by numerous organizations, such as the Academy of Child and Adolescent Psychiatry (Geller & March, 2012). Due to its frequency of use and the high doses of SSRIs required to treat pediatric OCD (Bloch et al., 2010), pediatric OCD would be a logical population to investigate how AS may impact multimodal treatment outcome.

This study examined the extent to which symptoms of AS hinder outcome during multimodal treatment of pediatric OCD. It was hypothesized that higher average AS symptoms would be associated with less symptom reduction during treatment (i.e., moderate treatment response). Additionally, session-to-session increases in AS symptom severity was expected to predict session-to-session increases in obsessive-compulsive symptom severity. If expected results are observed, increased monitoring and faster dose adjustment when AS is noted could enhance multimodal treatment outcomes.

Section snippets

Participants

This study consisted of 56 child-parent dyads (M = 11.70 years old; S.D. = 3.30 years; range 7–17 years old) recruited to enroll in a double-blind randomized controlled trial (RCT) to assess pediatric OCD treatment (Storch et al., 2013).1 The

Dosage information

Average dosage for the SloSert arm was 76 mg/day (51 mg/day), while the average dosage for the RegSert arm was 148 mg/day (52 mg/day). In terms of the highest dosage reached, 3% of the sample reached 25 mg/day, 17% reached 50 mg/day, 6% reached 75 mg/day, 22% reached 100 mg/day, 22% reached 150 mg/day, and 31% reached 200 mg/day. AS symptoms appeared at the highest levels during the transition from 0 mg/day to 25 mg/day and 50 mg/day to 75 mg/day. Specifically, average TEASAP scores were 21

Discussion

This study aimed to provide a novel exploration of the impact of SSRI related side effects on the effectiveness of multimodal treatment of pediatric OCD. It was hypothesized that the symptoms associated with AS may slow multimodal treatment gains. Both descriptive (see Fig. 3) and analytical (see Table 2) evidence of hindered multimodal outcome was observed. Higher average scores on three out of the five AS domains (irritability, akathisia, and disinhibition) significantly predicted less

Conflicts of interest

Dr. Regina Bussing has received research support from Pfizer Inc. and Otsuka Pharmaceuticals and payment from Pfizer Inc. and Shire Pharmaceuticals for consultation. Dr. Tanya Murphy discloses research support from the AstraZeneca Neuroscience iMED, Otsuka Pharmaceuticals, Shire Pharmaceuticals, Roche Pharmaceuticals, Sunovion Pharmaceuticals Inc., and Pfizer Inc. Finally, Dr. Eric Storch has received grant funding in the last 2 years from the National Institutes of Health, Centers for Disease

Contributors

Mr. Reid contributed to data collection and management of the Randomized Controlled Trial, helped manage the grant funding, conceptualized and designed the study analyses, led analyses, drafted the initial manuscript, reviewed and revised the manuscript, and approved the final manuscript.

Dr. McNamara led treatment for one of the study sites, conceptualized and designed the study analyses, supervised the analyses, drafted the initial manuscript, reviewed and revised the manuscript, and approved

Funding source

This research was supported by grant 5UO1 MH078594 from the NIMH (ClinicalTrials.gov Identifier: NCT00382291). Pfizer provided sertraline and matching placebo at no cost. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health or the National Institutes of Health. During the design of this study, the NIMH advised on the various aspects of the study methodology. The NIMH monitored the progress of the

Acknowledgment

The authors thank Jeannette Reid and Johanna Meyer, all staff members who contributed to data collection, the families for their participation, and Drs. Ayesha Lall, Jane Mutch and Omar Rahman for their contribution to the study interventions.

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