IRIS Institutional Research Information System - AIR Archivio Istituzionale della Ricerca

IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Milano.

AIR nasce in UNIMI nel 2006 con lo scopo di raccogliere, documentare e conservare le informazioni sulla produzione scientifica dell'Università degli Studi di Milano e costituisce di fatto l'Anagrafe della ricerca dell'Ateneo.

Generalized anxiety disorder (GAD) is a chronic and disabling condition. The aim of this study was to evaluate the effectiveness of low-dose augmentative quetiapine (mean dose=50 mg/day) in patients with GAD and partial/no response to selective serotonin reuptake inhibitors (SSRIs). Twenty patients with GAD and partial/no response to SSRIs were randomized to quetiapine (n=10) or placebo (n=10) for 8 weeks, continuing their treatment with SSRIs. Analyses of variance with repeated measures on Hamilton Anxiety Rating Scale (HAM-A) and Clinical Global Impression (CGIs; severity of illness) were carried out at baseline and after 8 weeks and the number of responders/remitters was computed and compared between the groups. HAM-A scores at baseline were 15.60 (+/- 4.48) in the placebo group and 18.50 (+/- 6.59) in the quetiapine group, and at the end-point, HAM-A scores in the placebo group were 10.40 (+/- 4.88) and 9.20 (+/- 5.86) in the quetiapine group. A significant time-by-treatment effect was found on the HAM-A (F=5.19, P=0.035) and CGIs scores (F=19.60, P<0.001) in favor of the quetiapine group. The number of responders was numerically superior in the quetiapine group (60 vs. 30%) without reaching statistical significance (chi(2)=1.82, degree of freedom=1, P=0.37, phi=0.30). Remitters were 40% for the quetiapine group versus 20% for the placebo group (chi(2)=0.95, degree of freedom=1, P=0.63, phi=0.22). Low-dose augmentative quetiapine may be an useful treatment option for patients with GAD and partial/no response to SSRIs. The lack of double-blind conditions and the limited sample size may limit the confidence in the reported results. Larger randomized controlled trials are warranted to confirm these data.

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