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Hamatani et al. BMC Psychiatry (2020) 20:433 https://doi.org/10.1186/s12888-020-02841-4 RESEARCH ARTICLE Open Access Predictors of response to exposure and response prevention-based cognitive behavioral therapy for obsessive- compulsive disorder 1,2 1,3 1 4,5 1 1 Sayo Hamatani , Aki Tsuchiyagaito , Masato Nihei , Yuta Hayashi , Tokiko Yoshida , Jumpei Takahashi , 5,6 1 1 1 1,4,7 1* Sho Okawa , Honami Arai , Maki Nagaoka , Kazuki Matsumoto , Eiji Shimizu and Yoshiyuki Hirano Abstract Background: Cognitive behavioral therapy (CBT), which includes exposure and response prevention (ERP), is effective in improving symptoms of obsessive-compulsive disorder (OCD). However, whether poor cognitive functions and autism spectrum disorder (ASD) traits affect the therapeutic response of patients with OCD to ERP- based CBT remains unclear. This study aimed to identify factors predictive of the therapeutic response of Japanese patients with OCD to ERP-based CBT. Methods: Forty-two Japanese outpatients with OCD were assessed using the Wechsler Adult Intelligence Scale-III (WAIS-III), Yale-Brown Obsessive-Compulsive Scale, Patient Health Questionnaire 9-item scale, and Autism Spectrum Quotient (AQ) at pre- and post-treatment. We used multiple regression analyses to estimate the effect on therapeutic response change. The treatment response change was set as a dependent variable in multiple regression analyses. Results: Multiple regression analyses showed that among independent variables, communication as an AQ sub- scale and Letter Number Sequencing as a WAIS-III sub-test predict the therapeutic response to ERP-based CBT . Conclusions: Our results suggest that diminished working memory (Letter Number Sequencing), poor communication skill (AQ sub-scale) may undermine responsiveness to ERP-based CBT among patients with OCD. Trial registration: UMIN, UMIN00024087. Registered 20 September 2016 - Retrospectively registered (including retrospective data). Keywords: Obsessive-compulsive disorder, Exposure and response prevention, Cognitive behavioral therapy, Therapeutic response * Correspondence: hirano@chiba-u.jp 1 Research Center for Child Mental Development, Chiba University, Inohana, Chuo-ku, Chiba 2608670, Japan Full list of author information is available at the end of the article ©The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. Hamatani et al. BMC Psychiatry (2020) 20:433 Page 2 of 8 Background Methods Obsessive-compulsive disorder (OCD) is a psychiatric Study design disorder characterized by repeated compulsive and ob- The present study was included patients who visited the sessive behavior, and its 12-month prevalence in the Cognitive Behavioral Therapy Center of Chiba Univer- world is 1.1 to 1.8% (DSM-5) [1]. NICE guidelines rec- sity between March 2013 to May 2018; it included 106 ommend the use of CBT including exposure response patients who were diagnosed with OCD by a psychiatrist prevention (ERP) as a first-line of treatment for OCD, and using the Structured Clinical Interview for DSM-IV Axis selective serotonin reuptake inhibitors (SSRI) or more in- I Disorders [20]. At the time of the visit to our center, tensive CBT including ERP or combined treatment (CBT the patient was already diagnosed with OCD at another including ERP plus SSRI) for moderate to severe OCD [2]. institution, and he/she brought a referral letter. The With a treatment response change of approximately 45 to diagnosis and evaluation were performed by a well- 70%[2, 3], the efficacy of the CBT including ERP has been educated psychiatrist and clinical psychologist at the demonstrated [4–7]. However, about 20% of OCD don’t IAPT of Chiba University. The exclusion criteria were have good enough response to ERP [3]. Numerous studies any organic central nervous system disorder, psychosis, have been conducted on cognitive functions of individuals intellectual disability, high risk of suicide, substance to account for their lack of response to CBT including abuse or dependence, or unstable medical condition; pa- ERP [8–11]. Neuropsychological functioning has so far tients for whom cognitive function could not be measured been studied as a predictor of the responsiveness of pa- in terms of outcomes and those who did not complete the tients with OCD to CBT including ERP, but the results ERP intervention were also excluded. A total of 64 pa- are inconsistent [8–11]. Predictor variables of CBT includ- tients were therefore excluded, so that eventually 42 pa- ing ERP for OCD can be classified into various categories tients (mean age=33.2years, standard deviation =7.6 [12]: demographic variables; OCD symptom characteris- years, female=26, male=16) with OCD were included in tics such as severity; comorbidities and associated symp- the analysis (Fig. 1). Moreover, none of the participants tom severity; cognitive influences; motivational factors were diagnosed with attention deficit hyperactivity dis- such as treatment expectations; treatment factors such as order. Nine patients were pharmacotherapy-free, and 33 compliance and therapeutic alliance; biological factors; patients were taking psychotropic drugs at the time of as- other factors such as personality, family dysfunction, and sessment [29 patients (SSRI), 2 patients (Noradrenergic treatment-specific characteristic [12, 13]. and specific serotonergic antidepressant), 5 patients (Tri- Previous studies have suggested that responses to CBT cyclic antidepressant), 17 patients (Benzodiazepine), 6 pa- including ERP are diminished among patients whose tients (Dopamine system stabilizer), 2 patients (Dopamine symptoms overlap with autism spectrum disorder (ASD) serotonin antagonist), 1 patient (Serotonin-dopamine criteria [14, 15]; treatment resistance may thus be attrib- antagonist), 3 patients (Multi-acting receptor targeted utable the presentation of ASD characteristics. More- antipsychotic), 2 patients (Benzamide antipsychotics), 2 over, severe major depressive disorder has been shown patients (Branched fatty acid), and 1 patient (Butyrophe- to inhibit therapeutic response to CBT including ERP none)](See supplemental material). [12]. It has also been suggested that the severity of obsessive-compulsive symptoms and beliefs may influ- Intervention ence the response to CBT including ERP treatment [16]. ERP-based CBT was performed on patients with OCD Conversely, several previous studies have reported that according to a treatment manual created by our research comorbidities such as depression and anxiety do not group designed for adult outpatients with OCD(https:// affect treatment responsiveness to CBT including ERP www.mhlw.go.jp/file/06-Seisakujouhou-12200000-Sha- [17–19]. Therefore, the results are inconsistent [12–19], kaiengokyokushougaihokenfukushibu/0000113840.pdf). and further research is needed to identify predictors of The modules were derived from a previous study on in- response to CBT including ERP. person ERP for OCD in Japan [7]; these modules in- Furthermore, no studies have examined the factors cluded psychoeducation, exposure exercises, and home- that affect treatment effects including the full-version of work assignments [7]. Sixteen ERP-based CBT sessions the WAIS for patients with OCD. Specifying people that of 50min in length were scheduled each week. All thera- need an adapted treatment strategy is very important, pists who participated in this study completed the Im- and it is necessary to specify predictors of treatment re- proving Access to Psychological Therapies project at sponse. Here, the present study aimed to elucidate fac- Chiba University [21]. The quality of ERP-based CBT tors related to therapeutic responses to ERP-based CBT, was controlled through weekly group supervisions led by focusing on ASD propensity, cognitive function, OCD a psychiatrist. It was recommended that the therapist severity, and depression severity. should record the content of the session using videog- raphy and an integrated chip (IC) recorder. However, it Hamatani et al. BMC Psychiatry (2020) 20:433 Page 3 of 8 Fig. 1 Patient flow was possible for the patient to refuse to consent to this Generalized anxiety disorder −7 (GAD-7) recording. The presence and severity of generalized anxiety dis- order was assessed using the GAD-7 [28, 29], a self- Outcomes administered questionnaire that assesses the severity of Yale-Brown obsessive-compulsive scale generalized anxiety disorder in the previous 2weeks on To assess the severity of the obsessive-compulsive symp- a 4-point Likert scale; with 0=not at all to 3=almost toms, we used the Yale-Brown Obsessive-Compulsive every day. The total score range is 0–21 (0 to 4 indicates Scale (Y-BOCS) [22, 23]. This scale consists of 10 items no symptoms, 5 to 9 indicates mild symptoms, 10 to 14 (5 obsessions and 5 compulsive items). The question- indicates moderate symptoms, and 15 to 21 indicates se- naire items are scored on a 4-point Likert-scale; with vere symptoms). The cut-off score for clinically signifi- 0=no symptoms to 4=extreme symptoms. The total cant symptoms of anxiety is 10. score range is 0–40, with individual subtotals for obses- sions and severity of obsessions. This scale was used in a Autism-spectrum quotient semi-structured interview setting. Autism-spectrum Quotient (AQ) is a self-managed in- strument that can use any of the dichotomous evalua- tions to measure autistic characteristics [30, 31]. The Obsessive-compulsive inventory total score range is 0–50. It consists of five subscales The Obsessive-Compulsive Inventory (OCI) consists of (social skills, attention switching, attention to detail, 42 items and is a 5-point Likert-scale [24, 25]. It consists communication, and imagination). The cut-off score for of seven subscales (washing, checking, doubting, order- clinically significant symptoms of ASD is 33. ing, obsessions, hoarding, and neutralizing). Wechsler adult intelligence scale-third edition Patient health Questionnaire-9 The Wechsler Adult Intelligence Scale-third edition The presence and severity of symptoms of depression (WAIS-III) is a comprehensive test of intellectual func- experienced in the previous 2weeks were evaluated tioning [32, 33]. A total of 13 subtests assessing either using the Patient Health Questionnaire-9 (PHQ-9) [26, verbal IQ (VIQ) or performance IQ (PIQ) were adminis- 27]. The self-administered questionnaire items are tered to patients with OCD. The subtests evaluating scored on a 4-point Likert-scale; with 0=not at all to VIQ included Vocabulary, Similarities, Information, 3=almost every day. The total score range is 0–27 (0 to Comprehension, Arithmetic, Digit Span, and Letter- 4 indicates no symptoms, 5 to 9 indicates mild symp- Number Sequencing; those assessing PIQ included Pic- toms, 10 to 14 indicates moderate symptoms, 15 to 19 ture Completion, Block Design, Matrix Reasoning, Vis- indicates moderate to severe symptoms, and 20 to 27 in- ual Puzzles, Digit Symbol Coding, and Symbol Search. dicates severe symptoms). The cut-off score for clinically The Object Assembly subtest was excluded from the significant symptoms of depression is 10. present analysis because it has a lower confidence factor Hamatani et al. BMC Psychiatry (2020) 20:433 Page 4 of 8 than the other subtests [34]. The aforementioned subtests investigate the effects of medication, the comparison of were grouped into the following four indices: VCI (Vo- the treatment response of the ERP-based CBT plus cabulary, Similarities, and Information), POI (Picture pharmacotherapy group and ERP-based CBT without Completion, Block Design, Matrix Reasoning), WMI pharmacotherapy group did not reveal any significant (Digit Span and Arithmetic, and Letter-Number Sequen- differences (t (40) =0.876, p<0.386). cing), and PSI (Symbol Search and Digit Symbol Coding). Discussion Statistical analysis The present study investigated whether clinical symp- The statistical analysis was performed using SPSS Statis- toms and cognitive functions are predictive of differen- tics, version 26.00 (IBM Corp., Armonk, NY, USA). To tial therapeutic response to ERP-based CBT among investigate the predictive effects that patient pretreat- patients with OCD. We found that the ERP-based CBT ment background may have had on the treatment re- response change was affected by diminished working sponse change post treatment, a series of analyses were memory as a Letter Number Sequencing and poor com- performed. First, the treatment response change was ob- munication skill as an AQ subscale in Japanese partici- tained in terms of the difference between pre- and post- pants with OCD. treatment Y-BOCS scores. Next, Pearson correlation co- A retrospective study of randomized control trials efficients were used to investigate the factors affecting assessing 108 obsessive-compulsive patients receiving se- the ERP-based CBT response change and to explore the lective serotonin reuptake inhibitors reported that co- relationships between such changes and other clinical morbidity affected treatment response [35]. Our results variables including age, sex, severity of obsessive- were not consistent with those of a previous study [35]. compulsive symptoms in Y-BOCS at pretreatment, the The results of the present study suggest that depressive traits associated with the autistic spectrum in AQ total mood severity was excluded, but that partial ASD pro- scores or its sub-scales, intelligence index in WAIS-III pensity impairs treatment response. A previous review or its sub-tests, OCI total score or its sub-scales, and se- has suggested that CBT including ERP for obsessive- verity of depression in PHQ-9. Finally, forward stepwise compulsive disorder with ASD is effective [36], but that regression analysis was performed with the variables that the response to CBT including ERP is relatively poor remained significant in the correlation analysis as inde- [15]. The novelty of this study was that the ability to pendent variables and the ERP-based CBT response communicate in AQ predicted treatment response. change as the dependent variable. Moreover, the un- Without good communication, it is difficult to set paired t-test was used to compare the ERP-based CBT appropriate therapeutic goals and exposure tasks. plus pharmacotherapy group and ERP-based CBT with- Therefore, it is natural that communication disorder, out pharmacotherapy group, to investigate the effects of one of the core disorders in ASD [1], impairs treat- medication. ment response. The results of this study did not suggest that OCI’s Results sub-tests predict of response to ERP-based CBT. A sub- Demographic and clinical characteristics and WAIS type of obsessive-compulsive disorder, the hoarding scores of patients with OCD are shown in Table 1. The state, was reported to reduce patient outcomes due to correlations between the ERP-based CBT response adherence [37]. Additionally, a previous study showed change and other clinical variables in OCD group are that reductions in obsessive beliefs influenced improve- presented in Table 2. Significant differences in the ERP- ments in patients with OCD [38], which are inconsistent based CBT response change were observed according to with the results of the present study. Previous studies sex (p=0.017), Attention switching (p=0.029), Commu- suggested that patient consensus on therapeutic goals nication (p=0.026), and Letter Number Sequencing and tasks is probably also an important factor in imple- (p=0.005). No significant correlation was found between menting CBT including ERP [39, 40]. The present study the ERP-based CBT response change and any other clin- did not measure patients’ adherence to ERP-based CBT ical variable. Multiple regression analysis was performed or the degree of agreement on treatment. Future re- with sex, communication, attention switching, and Letter search should consider these as well. A previous repre- Number Sequencing as explanatory variables and the sentative study suggested that maleness was predictive of ERP-based CBT response change as the dependent vari- better treatment outcomes [41]. However, our results able. Multiple regression analyses showed that commu- show that sex was not a predictor of the response to nication as an AQ sub-scale and Letter Number ERP-based CBT, and are consistent with some previous Sequencing as a WAIS-III sub-test were significant pre- studies for children to adults [18, 42–44]. dictors of ERP-based CBT response, if sex and attention Although some authors have questioned whether switching were excluded for a better fit (Table 3). To Letter-Number Sequencing can accurately measure
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