New trends in personalized treatment of depression.

PURPOSE OF REVIEW: Major depressive disorder (MDD) is a common and burdensome severe mental disorder, which is expected to become the leading cause of disease burden worldwide. Most patients with MDD remain untreated/undertreated. For many decades "a trial and error" approach has been adopted for selecting the best treatment plan for each individual patient, but more recently a personalized treatment approach has been proposed, by taking into account several individual and clinical factors (e.g., clinical stage, comorbidity, duration of illness). Therefore, the aim of this study is to address the most relevant innovations in the personalized treatment plan for patients with MDD. RECENT FINDINGS: In recent years, several pharmacological and nonpharmacological innovations have been introduced in the treatment of patients with MDD. As regards pharmacological treatments, the newly developed drugs have an innovative mechanism of action, targeting the glutamatergic systems. These drugs are highly effective in improving depressive symptoms, with a good level of safety and tolerability. As regards nonpharmacological interventions, innovations include both new strategies targeting different domains (e.g., lifestyle interventions aiming to improve the physical symptoms of depression or virtual reality) and classical interventions provided through innovative mechanisms (e.g., web-based psychotherapies and use of digital approaches). Patients globally report a good level of acceptability of these interventions. SUMMARY: Depression is a heterogeneous, complex and multidimensional disorder, representing one of the leading causes of disability worldwide. The final aim of the management of patients is functional recovery, which can be achieved by using personalized, integrated and recovery-oriented interventions. Several innovative pharmacological and nonpharmacological treatments are now available; interventions should be selected on the basis of the patient's needs and preferences in order to tailor the treatment, according to a shared decision-making approach.

Effect of affective temperament on illness characteristics of subjects with bipolar disorder and major depressive disorder.

BACKGROUND: Affective temperaments represent the stable, biologically determined substrates of mood disorders. The relationship between affective temperaments and bipolar disorder (BD) or major depressive disorder (MDD) has been described. However, the strength of such relationship should be tested while considering other factors influencing the diagnosis of BD/MDD. Literature also lacks a comprehensive description of the interplay between affective temperament and characteristics of mood disorders. The aim of the present study is to address these issues. METHODS: This is a multicentric observational study including 7 Italian university sites. Five-hundred-fifty-five euthymic subjects with BD/MDD were enrolled and further divided in those with hyperthymic (Hyper, N = 143), cyclothymic (Cyclo, N = 133), irritable (Irr, N = 49), dysthymic (Dysth, N = 155), and anxious (Anx N = 76) temperaments. Linear, binary, ordinal and logistic regressions were performed to assess the association between affective temperaments and i) diagnosis of BD/MDD; ii) characteristics of illness severity and course. RESULTS: Hyper, Cyclo and Irr were more likely to be associated with BD, together with earlier age of onset and presence of a first-degree relative with BD. Anx and Dysth were more associated with MDD. Differences in association between affective temperaments and characteristics of BD/MDD were observed for hospital admissions, phase-related psychotic symptoms, length and type of depression, comorbidity and pharmacological intake. LIMITATIONS: Small sample size, cross-sectional design, recall biases. CONCLUSION: Specific affective temperaments were associated to certain characteristics of illness severity and course of BD or MDD. Evaluation of affective temperaments might help a deeper understanding of mood disorders.