Dissecting the Yale-Brown Obsessive-Compulsive Scale severity scale to understand the routes for symptomatic improvement in obsessive-compulsive disorder

Increased Production of the Potent Oxidant Peroxynitrite in the Serum of Obsessive-Compulsive Disorder Patients

Background: There is growing evidence that oxidative stress may play a principal role in the etiology of psychiatric disorders, such as obsessive-compulsive disorder (OCD). The potent oxidant peroxynitrite (ONOO-) is the final yield of rapid reaction nitric oxide (NO) and superoxide anions. Objectives: The present study aimed to investigate whether serum peroxynitrite levels in patients with OCD disorder can be used as an oxidative biomarker Methods: Twenty-one patients with freshly diagnosed OCD and not using any drugs and 19 healthy volunteers were enrolled in this study. Serum peroxynitrite levels were measured in the control and OCD groups. Results: Serum peroxynitrite values in patients with newly diagnosed OCD were significantly increased compared to the control group (7.968 ± 2.576 µmol/L in patients and 4.983 ± 1.300 µmol/L in the control) and were significantly correlated with Yale-Brown Obsession Compulsion Scale scores. However, they were not significantly different between male and female groups. Conclusions: Our findings revealed a correlation between increased peroxynitrite level and OCD. Serum peroxynitrite level may be considered an oxidative biomarker for OCD patients in the future. It seems that using drugs with antioxidant properties can be used for the prevention of further damage by oxidants in the treatment of OCD patients.

Is it time to change the gold standard of obsessive-compulsive disorder severity assessment? Factor structure of the Yale-Brown Obsessive-Compulsive Scale

OBJECTIVES

The Yale-Brown Obsessive-Compulsive Scale has been considered the gold standard scale to assess obsessive-compulsive disorder severity. Previous studies using exploratory factor analysis and confirmatory factor analysis with this scale showed mixed findings in terms of factor structure and fit of models. Therefore, we used confirmatory factor analysis to compare different Yale-Brown Obsessive-Compulsive Scale models in a large sample aiming to identify the best model fit.

METHODS

We assessed adult obsessive-compulsive disorder patients (n = 955) using three measures: Yale-Brown Obsessive-Compulsive Scale severity ratings, the Dimensional Yale-Brown Obsessive-Compulsive Scale and the clinical global impression scale. We tested all factor structures reported by previous studies to investigate which model best fitted the data: one-factor, two-factor, three-factor and their equivalent high-order solutions. We also investigated Yale-Brown Obsessive-Compulsive Scale items correlations with scores from the other measures of obsessive-compulsive disorder severity.

RESULTS

Confirmatory factor analysis models presented mediocre to fair goodness-of-fit indexes. Severity items related to resistance to obsessions and compulsions presented low factor loadings. The model with the best fit indexes was a high-order model without obsessive-compulsive disorder resistance items. These items also presented small correlations with other obsessive-compulsive disorder severity measures.

CONCLUSION

The obsessive-compulsive disorder field needs to discuss further improvements in the Yale-Brown Obsessive-Compulsive Scale and/or continue to search for better measures of obsessive-compulsive disorder severity.