Network Analysis for Predicting Treatment Response in Patients with Obsessive-Compulsive Disorder

IF 0.5 Q4 PSYCHIATRY
Mohammadreza Davoudi, Abbas Pourshahbaz, Behrooz Dolatshahi, Ali Nazeriastaneh, Marjan Poshtmashhadi
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引用次数: 0

Abstract

Background: High resistance-to-treatment rates in obsessive-compulsive disorder (OCD) and various treatments remain significant obstacles to psychiatric disorder treatments. Objectives: The current study used network analysis to predict treatment response by psychiatric symptoms in the contamination/cleaning and danger/checking OCD subtypes. Methods: We evaluated 136 patients (mean age: 30.50 ± 5.25) who finished a 12-week selective serotonin reuptake inhibitor (SSRI) course. We used the convenience sampling method. All patients completed structured clinical interviews for the diagnostic and statistical manual of mental disorders, fifth edition research version (SCID-5-RV) at baseline and post-test. After treatment completion, the patients were categorized as responders and resistant according to their OCD severity scores (at the post-test). We used a network approach to determine the network structure of patients before and after the treatment. Network analysis was used by "the R programming language" to compare patterns of psychiatric symptoms. Additionally, we contrasted treatment-responsive patients' network structure with treatment-resistant OCD patients in each subtype. Results: In baseline, dysthymia, insomnia, binge eating, agoraphobia, and panic were the most central (important) nodes in the danger/checking subtype. However, hoarding, ADHD, insomnia, depression, and panic were the most central nodes in the contamination/cleaning group at baseline. Also, global strength and symptom connectivity were higher in the contamination/cleaning subtype than in the danger/check subtype (P < 0.05). In the contamination/cleaning subtype, "insomnia" was the most significant predictor for categorizing patients as resistant at the post-test. For contamination/cleaning, panic and binge eating played similar roles in treatment outcomes. Conclusions: Psychiatric symptoms can predict treatment responses in OCD subtypes. So, it is necessary to consider psychiatric comorbidities regarding OCD subtypes.
预测强迫症患者治疗反应的网络分析
背景:强迫症(obsessive compulsive disorder, OCD)的高耐药率和各种治疗方法仍然是精神障碍治疗的重要障碍。目的:本研究采用网络分析预测污染/清洁和危险/检查强迫症亚型的精神症状对治疗的反应。方法:我们评估了136例患者(平均年龄:30.50±5.25),他们完成了为期12周的选择性血清素再摄取抑制剂(SSRI)疗程。我们采用方便抽样方法。所有患者在基线和测试后完成了精神障碍诊断和统计手册第五版研究版(SCID-5-RV)的结构化临床访谈。治疗完成后,根据患者的强迫症严重程度评分(后测)将患者分为反应者和抵抗者。我们使用网络方法来确定患者治疗前后的网络结构。网络分析是用“R编程语言”来比较精神症状的模式。此外,我们对比了治疗反应性患者和治疗抵抗性强迫症患者在每个亚型中的网络结构。结果:在基线中,心境恶劣、失眠、暴食、广场恐怖症和恐慌是危险/检查亚型的最中心(重要)节点。然而,囤积、多动症、失眠、抑郁和恐慌是污染/清洁组的最中心节点。此外,污染/清洁亚型的整体强度和症状连通性高于危险/检查亚型(P <0.05)。在污染/清洁亚型中,“失眠”是在后测试中将患者分类为耐药的最重要预测因子。对于污染/清洁,恐慌和暴饮暴食在治疗结果中发挥了类似的作用。结论:精神症状可以预测强迫症亚型的治疗效果。因此,有必要考虑强迫症亚型的精神合并症。
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来源期刊
CiteScore
1.20
自引率
10.00%
发文量
70
期刊介绍: The Iranian Journal of Psychiatry and Behavioral Sciences (IJPBS) is an international quarterly peer-reviewed journal which is aimed at promoting communication among researchers worldwide and welcomes contributions from authors in all areas of psychiatry, psychology, and behavioral sciences. The journal publishes original contributions that have not previously been submitted for publication elsewhere. Manuscripts are received with the understanding that they are submitted solely to the IJPBS. Upon submission, they become the property of the Publisher and that the data in the manuscript have been reviewed by all authors, who agree to the analysis of the data and the conclusions reached in the manuscript. The Publisher reserves copyright and renewal on all published material and such material may not be reproduced without the written permission of the Publisher. Statements in articles are the responsibility of the authors.
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