Cluster Analysis of Symptom Types, Severity, Age, Gender, and Comorbidity in Pediatric Obsessive-Compulsive Disorder

TY - CONF

T1 - Cluster Analysis of Symptom Types, Severity, Age, Gender, and Comorbidity in Pediatric Obsessive-Compulsive Disorder

AU - Smárason, Orri

AU - Selles, Robert

AU - Højgaard, David R.M.A.

AU - Best, Jophn R.

AU - Melin, Karin

AU - Ivarsson, Tord

AU - Thomsen, Per Hove

AU - Weidle, Bernhard

AU - McBride, Nicole Michelle

AU - Storch, Eric A.

AU - Geller, Daniel

AU - Wilhelm, Sabine

AU - Farrell, Lara J.

AU - Waters, Allison M.

AU - Mathieu, Sharna

AU - Soreni, Noam

AU - Stewart, S. Evelyn

AU - Skarphedinsson, Gudmundur

PY - 2024/6/20

Y1 - 2024/6/20

N2 - Background: Obsessive-compulsive disorder (OCD) manifests in various ways and often co-occurs with other conditions, affecting about 70% of patients. This study aims to explore the underlying commonalities among OCD-affected children and adolescents in order to better conceptualize variations in disorder presentation.Methods: Data from seven international programs focusing on pediatric OCD were pooled, comprising 830 cases aged 5-19, with 54% being female. The severity and types of OCD symptoms were assessed using the Children’s Yale-Brown Obsessive-Compulsive Scale (CY-BOCS), while comorbid conditions were determined through diagnostic interviews. Dependent mixture modeling was employed to identify latent groups based on age, gender, symptom severity, type, and comorbidities.Results: The modeling revealed four distinct clusters, primarily differentiated by symptom expression and comorbidity types. While fit indices for 3-7 clusters showed minimal variance, cluster characteristics remained largely consistent across different models, with additional smaller clusters in more complex models.Conclusions: Integrating dimensional, developmental, and transdiagnostic information proved valuable in understanding OCD in children and adolescents. The identified clusters underscored the significance of contamination symptoms, associations between broader symptomatology and increased comorbidity, and the potential for intricate neurodevelopmental profiles. These clusters offer insights into potential adaptations for treatment approaches.

AB - Background: Obsessive-compulsive disorder (OCD) manifests in various ways and often co-occurs with other conditions, affecting about 70% of patients. This study aims to explore the underlying commonalities among OCD-affected children and adolescents in order to better conceptualize variations in disorder presentation.Methods: Data from seven international programs focusing on pediatric OCD were pooled, comprising 830 cases aged 5-19, with 54% being female. The severity and types of OCD symptoms were assessed using the Children’s Yale-Brown Obsessive-Compulsive Scale (CY-BOCS), while comorbid conditions were determined through diagnostic interviews. Dependent mixture modeling was employed to identify latent groups based on age, gender, symptom severity, type, and comorbidities.Results: The modeling revealed four distinct clusters, primarily differentiated by symptom expression and comorbidity types. While fit indices for 3-7 clusters showed minimal variance, cluster characteristics remained largely consistent across different models, with additional smaller clusters in more complex models.Conclusions: Integrating dimensional, developmental, and transdiagnostic information proved valuable in understanding OCD in children and adolescents. The identified clusters underscored the significance of contamination symptoms, associations between broader symptomatology and increased comorbidity, and the potential for intricate neurodevelopmental profiles. These clusters offer insights into potential adaptations for treatment approaches.

M3 - Poster

T2 - Educational Symposium in Psychiatry

Y2 - 20 June 2024 through 20 June 2024

ER -