Obsessive-compulsive disorder (OCD) is a prevalent and disabling condition with frequent chronic course. Staging models applied to psychiatric disorders seek to define their extent of progression at a particular time-point and differentiate early, milder clinical phenomena from those characterizing illness progression and chronicity. In OCD patients, a staging model has been recently proposed but not tested yet. This was the aim of the present study.

From an overall sample of 198 OCD patients, recruited across two psychiatric clinics in Northern Italy, 70 patients on stable treatment completed a follow-up assessment ranging from 12 to 24 months. At follow-up initiation, patients had been divided into four staging groups, according to the model proposed by Fontenelle and Yucel. At the end of the follow-up, patients were subdivided into three groups (no stage change, improved stage, or worsened stage) compared with statistical analyses.

At the end of the follow-up, 67.1% patients showed no stage changes, 24.3% a stage improvement, and 8.6% a stage progression. Worsened patients showed higher rates of comorbid disorders and higher rates of unfavorable employment characteristics compared to the other subgroups (P < .05). Patients with worsened stage showed higher prevalence of somatic obsessions (P < .05), while patients with improved stage showed higher rates of magical thinking and violence/harm obsessions compared to other groups (P < .05).

The present results provide epidemiologic and clinical correlates of the first application of a staging model in a sample of OCD patients, encouraging further studies to assess the utility of this approach in the field.

Despite growing evidence in the field of cognitive function in mood disorders, the neurocognitive profiles of patients with unipolar and bipolar depression still need further characterization. In this study, we applied network analysis, hypothesizing this approach could highlight differences between major depressive disorder (MDD) and bipolar disorder (BD) from a cognitive perspective.

The cognitive performance of 109 patients (72 unipolar and 37 bipolar depressed outpatients) was assessed through the Montreal Cognitive Assessment (MoCA), and a series of clinical variables were collected. Differences in cognitive performance between MDD and BD patients were tested using non-parametric tests. Moreover, a network graph representing MoCA domains as nodes and Spearman’s rho correlation coefficients between the domains as edges was constructed for each group.

The presence of mild cognitive impairment was observed in both MDD and BD patients during depression. No statistical significant difference was found between the two groups in terms of overall cognitive performance and across single domains. Nonetheless, network analytic metrics demonstrated different roles of memory and executive dysfunction in MDD versus BD patients: in particular, MDD network was more densely interconnected than BD network, and memory was the node with the highest betweenness and closeness centrality in MDD, while executive function was more central in BD.

From a network analytic perspective, memory impairment displays a central role in the cognitive impairment of patients with unipolar depression, whereas executive dysfunction appears to be more central in bipolar depression. Further research is warranted to confirm our results.