3,401 research outputs found

    The clinical effectiveness of evidence-based interventions for depression: A pragmatic trial in routine practice

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    Abstract BACKGROUND: Controversy persists about how effectively empirically-supported treatments for major depression work in actual clinical practice as well as how patients choose among them. We examined the acute phase effectiveness of cognitive therapy (CT), interpersonal psychotherapy (IPT), and combined psychotherapy-pharmacotherapy (PHT) in a naturalistic setting, allowing patients their choice of treatment. METHODS: The study compared CT (n=63), IPT (n=56), CT-PHT (n=34), and IPT-PHT (n=21) for 174 subjects with major depression in a secondary care mood disorders clinic. Patient preference, rather than randomization, determined treatment selection. The Beck Depression Inventory-II (BDI) was the primary outcome variable. Exclusion criteria were minimal. RESULTS: All treatments were associated with a reduction in depressive symptoms, with a 35% remission rate by week 26. Overall improvement was well within ranges reported in efficacy trials. On average, treatment effects of the different interventions straddled the same range, but moderation analyses revealed that BDI scores dropped faster in the first 16 weeks in patients who received CT alone than patients who received CT and pharmacotherapy, a pattern not found in patients who received IPT (with or without pharmacotherapy). LIMITATIONS: Limitations consist of a modest sample size, choice of treatment was made by participants which may have been influenced by many sources, and the absence of a non-active control group. CONCLUSIONS: This study supports the effectiveness of empirically-supported antidepressant treatments selected by patients in routine settings, and provides an indication that speed of therapeutic response may vary amongst treatments

    The 20-year longitudinal trajectories of social functioning in individuals with psychotic disorders

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    Objective: Social impairment is a long-recognized core feature of schizophrenia and is common in other psychotic disorders. Still, to date the long-term trajectories of social impairment in psychotic disorders have rarely been studied systematically. Methods: Data came from the Suffolk County Mental Health Project, a 20-year prospective study of first-admission patients with psychotic disorders. A never-psychotic comparison group was also assessed. Latent class growth analysis was applied to longitudinal data on social functioning from 485 respondents with schizophrenia spectrum disorders and psychotic mood disorders, and associations of the empirically derived trajectories with premorbid social adjustment, diagnosis, and 20-year outcomes were examined. Results: Four mostly stable trajectories of preserved (N=82; 59th percentile of comparison group sample distribution), moderately impaired (N=148; 17th percentile), severely impaired (N=181; 3rd percentile), and profoundly impaired (N=74; 1st percentile) functioning best described the 20-year course of social functioning across diagnoses. The outcome in the group with preserved functioning did not differ from that of never-psychotic individuals at 20 years, but the other groups functioned significantly worse. Differences among trajectories were already evident in childhood. The two most impaired trajectories started to diverge in early adolescence. Poorer social functioning trajectories were strongly associated with other real-world outcomes at 20 years. Multiple trajectories were represented within each disorder. However, more participants with schizophrenia spectrum disorders had impaired trajectories, and more with mood disorders had better functioning trajectories. Conclusions: The results highlight substantial variability of social outcomes within diagnoses—albeit overall worse social outcomes in schizophrenia spectrum disorders—and show remarkably stable long-term impairments in social functioning after illness onset across all diagnoses

    A Network of Psychopathological, Cognitive, and Motor Symptoms in Schizophrenia Spectrum Disorders

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    Schizophrenia spectrum disorders (SSDs) are complex syndromes involving psychopathological, cognitive, and also motor symptoms as core features. A better understanding of how these symptoms mutually impact each other could translate into diagnostic, prognostic, and, eventually, treatment advancements. The present study aimed to: (1) estimate a network model of psychopathological, cognitive, and motor symptoms in SSD; (2) detect communities and explore the connectivity and relative importance of variables within the network; and (3) explore differences in subsample networks according to remission status. A sample of 1007 patients from a multisite cohort study was included in the analysis. We estimated a network of 43 nodes, including all the items from the Positive and Negative Syndrome Scale, a cognitive assessment battery and clinical ratings of extrapyramidal symptoms. Methodologies specific to network analysis were employed to address the study’s aims. The estimated network for the total sample was densely interconnected and organized into 7 communities. Nodes related to insight, abstraction capacity, attention, and suspiciousness were the main bridges between network communities. The estimated network for the subgroup of patients in remission showed a sparser density and a different structure compared to the network of nonremitted patients. In conclusion, the present study conveys a detailed characterization of the interrelations between a set of core clinical elements of SSD. These results provide potential novel clues for clinical assessment and intervention

    Progesterone for prevention of preterm birth in women with short cervical length : 2-year infant outcomes

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    ACKNOWLEDGMENTS The Triple P study is registered as NL1961. https://www.trialregister.nl/trial/1961 The original Triple P study was funded by ZonMW number 120620030. The follow-up study was funded by the Amsterdam UMC, Academic Medical Center. BWM is supported by a NHMRC Investigatorgrant (GNT1176437). BWM reports consultancy for ObsEva, Merck Merck KGaA, iGenomix and Guerbet.Peer reviewedPublisher PD

    Management of rare movement disorders in Europe:outcome of surveys of the European Reference Network for Rare Neurological Diseases

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    Background and purpose The diagnosis of rare movement disorders is difficult and specific management programmes are not well defined. Thus, in order to capture and assess care needs, the European Reference Network for Rare Neurological Diseases has performed an explorative care need survey across all European Union (EU) countries. Methods This is a multicentre, cross‐sectional study. A survey about the management of different rare movement disorders (group 1, dystonia, paroxysmal dyskinesia and neurodegeneration with brain iron accumulation; group 2, ataxias and hereditary spastic paraparesis; group 3, atypical parkinsonism; group 4, choreas) was sent to an expert in each group of disorders from each EU country. Results Some EU countries claimed for an increase of teaching courses. Genetic testing was not readily available in a significant number of countries. Regarding management, patients’ accessibility to tertiary hospitals, to experts and to multidisciplinary teams was unequal between countries and groups of diseases. The availability of therapeutic options, such as botulinum toxin or more invasive treatments like deep brain stimulation, was limited in some countries. Conclusions The management of these conditions in EU countries is unequal. The survey provides evidence that a European care‐focused network that is able to address the unmet rare neurological disease care needs and inequalities is highly warranted
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