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Objective: Interpersonal Psychotherapy (IPT) model, with its four problematic areas of grief, deficit, role transition and role dispute, provides a useful frame of reference for a quick case formulation. We aimed at applying the IPT problematic areas assessment in a sample of patients from a liaison psychiatry setting. Methods: One-hundred and twenty-nine hospitalized patients of both sexes, aged between 18 and 80 years were interviewed. The 'Interpersonal Problem Areas Rating Scale' (IPARS) was used to detect the interpersonal focuses. Results: IPARS problematic areas were identified in the 76% of the sample (n=98). Grief and role transition, interpersonal deficits and role disputes were, respectively, the most frequently (43.4 and 42.6%, respectively) and the less frequently described focuses (14 and 11.6%). Moreover, 31 patients (24%) showed no problem areas related to current symptomatology. Conclusions: The IPT model has proved to be an easy-to-use tool, able to guide the psychological interview and allowing the collection of information from an interpersonal perspective in a short time, although no specific focuses were detected as related to current psychological distress in around 25% of the sample.

OBJECTIVE: Multiple studies indicate that bipolar disorders are often underrecognized, misdiagnosed, and incorrectly treated. The aim of the present report is to determine which combination of clinical, demographic, and psychopathological factors and corresponding cutoff scores best discriminate patients with unipolar disorder from those with bipolar disorders. METHOD: The study sample includes outpatients and inpatients (N = 1,158) participating in 5 studies carried out in the United States and Italy between October 2001 and March 2008, one of which was a randomized clinical trial. Diagnostic assessment was carried out with the SCID, which allows diagnoses to be made according to DSM-IV-TR criteria. Using an exploratory statistical approach based on a classification tree, we employed 5 mania spectrum factors and 6 depression spectrum factors derived from the Mood Spectrum Self-Report Instrument (MOODS-SR) in combination with demographic and clinical characteristics to discriminate participants with unipolar versus bipolar disorders. RESULTS: The psychomotor activation factor, assessing the presence of thought acceleration, distractibility, hyperactivity, and restlessness for 1 or more periods of at least 3 to 5 days in the lifetime, identified subgroups with an increasing likelihood of bipolar disorder diagnosis. Mixed instability and suicidality contributed to further subtyping the sample into mutually exclusive groups, characterized by a different likelihood of receiving a diagnosis of bipolar disorder. Of the demographic and clinical characteristics included in the analysis, only sex proved to be useful to improve the discrimination. CONCLUSIONS: The psychomotor activation factor proved to be the most potent discriminator of those with unipolar versus bipolar diagnoses. The items that constitute this factor, together with those that constitute the mixed instability, suicidality, and euphoria factors, might be useful in making the differential diagnosis.

Background: Despite the availability of many effective treatments, patients with major depression remain at risk for relapse following remission of a depressive episode. The aims of this report are to estimate the relapse rates associated with the acute treatment strategies employed in this study and to investigate demographic and clinical predictors of relapse. Methods: The study sample includes 225 patients who entered the 6-month continuation treatment phase after remitting from an acute depressive episode. Treatment during the acute phase was interpersonal psychotherapy, SSRI (escitalopram), or the combination of the two when monotherapy did not lead to response. Relapse was defined by a Hamilton Depression Rating Scale score Z15, confirmed by the diagnosis of major depression. The probability of relapsing was modeled using logistic regression. Three separate models were fit with subgroups of covariates. Results: Of the 225 patients, 29 (12.9%) relapsed and 28 (12.4%) discontinued the protocol prematurely. The proportion of patients who relapsed among the group requiring combination treatment to achieve remission was three times as high as among patients who had remitted with monotherapy. In the final logistic regression model, older age, higher baseline HDRS scores, last month (residual) depressive mood spectrum factor score, and requiring combination treatment to achieve remission were each associated with an increased likelihood of relapse. Conclusions: Our results suggest that greater initial depression severity, greater difficulty in stabilizing symptoms, and presence of residual mood spectrum symptoms once remission is achieved are predictive of relapse. Risk of relapse is more likely as age increases, partly because aging confers lower resilience. Depression and Anxiety 28:955–962, 2011. r 2011 Wiley Periodicals, Inc.

Background Efficacy of treatments for panic disorder is well established, but not all patients respond. Adult separation anxiety has been found to predict poorer response to CBT, but its effect on response to medication has not been previously explored. Study aim The aim of this study is to investigate if panic–agoraphobic spectrum factors, including ‘separation anxiety’ factor predict treatment outcome in patients with panic disorder. Study sample Participants who met criteria for PD (n = 57) completed baseline assessment and 12 months follow-up. Patients were administered the Panic Agoraphobic Spectrum Self-Report (PAS-SR, Lifetime and Last-Month Versions), and the Panic Disorder Severity Scale (PDSS). We examined patients who met the following criteria at baseline: 1) PDSS total score > 7; 2) no current Axis I comorbidity with major depression; 3) no lifetime or current bipolar disorder. All patients were treated with evidence-based psychopharmacological treatment for panic disorder during the 12-month observation period. Results Twenty eight patients (48.1%) achieved remission during the follow-up period. In a logistic regression model, controlling for baseline severity, gender and age, only the last-month PAS-SR ‘separation anxiety’ factor was associated with a lower likelihood of remission. Conclusions Signs and symptoms of separation anxiety in adulthood, as assessed with the PAS-SR Last Month version, are predictors of poor treatment outcome in patients with PD. We submit that the assessment of panic–agoraphobic spectrum features, including adult separation anxiety, should become routine of clinical assessment of patients with PD. It is likely that a better psychopathological characterization of patients may inform treatment selection, and result in better treatment outcome.

Background: To date, few randomized controlled trials (RCTs) of major depression have examined suicidal ideation as an outcome measure. Our aim is to determine the incidence of treatment-emergent suicidal ideation (ESI) and behaviors during the acute phase of treatment with an SSRI antidepressant or interpersonal psychotherapy (IPT) in patients with unipolar major depression. Methods: In a two-site RCT, 291 adult outpatients with nonpsychotic major depression and a Hamilton Depression Rating Scale (HDRS) score ≥15 were randomly allocated to IPT or SSRI. Participants who did not remit with monotherapy received augmentation with the other treatment. ESI was defined as a postbaseline HDRS suicidality item score ≥2 or a postbaseline Quick Inventory of Depressive Symptomatology (QIDS) score ≥2 in patients with a baseline score ≤1. Results: Of the 231 participants who had no suicidal ideation at baseline, 32 (13.8%) subsequently exhibited ESI on at least one postbaseline visit. Time to suicidal ideation was significantly longer in patients allocated to SSRI compared to those allocated to IPT (HR = 2.21, 95% CI 1.04-4.66, P = .038), even after controlling for treatment augmentation, benzodiazepine use, and comorbidity with anxiety disorders. Worsening of suicidal ideation occurred in 7/60 patients who had suicidal ideation at baseline. In the large majority of cases, suicidal ideation was successfully managed with the study protocol. Conclusions: In the context of careful monitoring and frequent contact, selective serotonin reuptake inhibitor (SSRI) was associated with a lower risk of ESI than IPT and both SSRI and IPT appeared to be safe treatments for patients with past suicide attempts, none of whom exhibited ESI during the study. Depression and Anxiety 0:1-7, 2011.© 2011 Wiley-Liss, Inc. Language: en

Clinical features and treatment outcome were compared in depressed outpatients with and without a history of emotional and physical abuse (EPA), including childhood maltreatment. Patients were initially randomized to IPT or SSRI and then augmented with the second treatment if they did not remit with monotherapy. Assessments included the SCID-I, the SCID-II for DSM-IV diagnoses, the HRSD, the QIDS and the Mood Spectrum Self-Report (MOODS-SR). Seventy-eight (25%) patients reported a history of EPA; 60 (76.9%) were women. Patients with a history of EPA did not differ from those without on HRSD scores at baseline, but showed an earlier age at onset of depression and a longer duration of illness. The two groups differed on several mood spectrum factors, namely: ‘depressive mood’ (15.6 ± 4.9 vs. 13.5 ± 5.4; p < 0.004), ‘psychomotor retardation’ (11.7 ± 4.5 vs. 9.6 ± 4.7; p < 0.001), ‘drug and illness-related depression’ (1.3 ± 1.3 vs. 0.6 ± 1.0; p < 0.0001), and ‘neurovegetative symptoms’ (8.3 ± 2.6 vs. 6.9 ± 2.9; p < 0.0001). Patients with EPA had also a significantly longer time to remission (89 vs. 67 days, log-rank test, p = 0.035). The need for augmentation treatment was significantly more frequent among patients with EPA than in those without. The present study suggests that patients with a history of EPA show a subtype of depression characterized by poor treatment response and more severe neurovegetative and psychomotor symptoms.

Background: Instruments that are intended to measure change over time need to emphasize sensitivity to change as a central property. The aims of this report are to test whether the MOODS-SR, a measure of mood spectrum symptomatology, is sensitive to changes during acute and continuation treatment of depression and whether residual mood spectrum symptoms predict relapse in the subsequent 6 months. Methods: The study sample includes 316 patients with nonpsychotic depression participating in the protocol ‘Depression: the search for treatment-relevant phenotypes’. Patients were initially randomized to selective serotonin reuptake inhibitors or interpersonal psychotherapy and then treated for 9 months using an algorithm-based protocol. Measures of mood symptomatology included the self-report version of the structured clinical interview for mood spectrum (MOODS-SR), the Quick Inventory for Depressive Symptomatology and the Hamilton Rating Scale for Depression. Results: Repeated-measures ANOVA indicates that during the acute phase MOODS scores decrease significantly from baseline to weeks 6 and 12. This decrease was significantly different (p < 0.001) between those who remitted and those who did not remit on the depressive, the rhythmicity component and the total score. Nonrelapsing subjects had stable scores across the continuation phase, while among relapsing subjects, a significant increase was found in the depressive component (p < 0.001), the rhythmicity component (p = 0.024) and the total score (p < 0.001), at 2 months, followed by a decrease from 2 to 6 months. Scores on the depressive component at the entry into continuation predicted relapse in the subsequent 6 months. Conclusions: Our findings suggest that the MOODS-SR is sensitive to change in depression status and may help the clinician to detect symptoms and signs not considered by established symptom severity scales.

The short (s) variant of the serotonin transporter gene linked functional polymorphic region (5-HTTLPR) is associated with depression. Stressful life events, gender, and race have been shown to moderate this association. Because features of mania/hypomania seem to constitute an indicator of higher severity of depression, we examined the relationship between 5-HTTLPR genotype and symptoms of mania-hypomania spectrum occurring over the lifetime in patients with major depression. The possible moderating role of gender in this relationship was taken into account. Two hundred twenty-two patients with unipolar major depression were genotyped for 5-HTTLPR and nine other representative polymorphisms, and were administered the Mood Spectrum Questionnaire, Lifetime Version (MOODS-SR). The manic-hypomanic (MH) component score was used for analysis. Using a linear model of the MH score as a function of genotypes and gender, controlling for age, severity of depression, and site, we found significant effects of gender (F = 8.003, df = 1, P = 0.005), of the interaction gender x genotype (F = 4.505, df = 2, P = 0.012), and of the baseline Hamilton score (F = 5.404, df = 1, P = 0.021), non-significant effects of genotype (F = 1.298, df = 2, P = 0.275), age (F = 0.310, df = 1, P = 0.578) site (F = 0.504, df = 1, P = 0.479). Significant associations were also detected at three other SNPs. The association between the manic/hypomanic component of the MOODS-SR and the polymorphisms of the 5-HTTLPR is moderated by gender. This finding is intriguing from a clinical point of view because women with unipolar disorder and the "ss" genotype seem to constitute a sub-group with higher severity of depression. These results should be considered tentative pending replication in other samples.

BACKGROUND: While previous attempts to elucidate the factor structure of depression tended to agree on a central focus on depressed mood, other factors were not replicated across studies. By examining data from a large number of items covering the range of depressive symptoms, the aim of the present study is to contribute to the identification of the structure of depression on a lifetime perspective. METHODS: The study sample consisted of 598 patients with unipolar depression who were administered the Mood Spectrum Self-Report (lifetime version) in Italian (N=415) or English (N=183). In addition to classical exploratory factor analysis using tetrachoric correlation coefficients, an IRT-based factor analysis approach was adopted to analyze the data on 74 items of the instrument that explore cognitive, mood and energy/activity features associated with depression. RESULTS: Six factors were identified, including 'Depressive Mood', 'Psychomotor Retardation', 'Suicidality', 'Drug/Illness related depression', 'Psychotic Features' and 'Neurovegetative Symptoms', accounting overall for 48.3% of the variance of items. LIMITATIONS: Clinical information on onset of depression and duration of illness is available only for 350 subjects. Therefore, differences between sites can only be partially accounted using available data. CONCLUSIONS: Our study confirms the central role of depressed mood, psychomotor retardation and suicidality and identifies the factors 'Drug/Illness related depression', 'Psychotic features' and the neurovegetative dysregulation not captured by the instruments most frequently used in previous studies. The identification of patients with specific profiles on multiple factors may be useful in achieving greater precision in neuroimaging studies and in informing treatment selection.