Melatonin In Acute Mania Investigation (MIAMI-UK). A randomized controlled trial of add-on melatonin in bipolar disorder.

OBJECTIVES: Current options for treating emergent episodes of hypomania and mania in bipolar disorder are limited. Our objective was to compare the effectiveness and safety of add-on melatonin in hypomania or mania over 3 weeks as a well-tolerated therapy. METHODS: A randomized, double-blind, parallel-group, 3-week comparison of modified release melatonin (n = 21) vs placebo (n = 20) in adult bipolar patients aged 18-65 years. Permuted block randomization was used with participants and investigators masked to treatment allocation. Trial registration is ISRCTN28988273 and EUdraCT2008-000281-23. Approved by the South Central National Research Ethics Service (Oxford REC A) ref: 09/H0604/63. RESULTS: The trial was negative as there was no significant difference between melatonin and placebo on the primary outcome-mean Young Mania Rating Scale (YMRS) score at Day 21: (mean difference [MD] -1.77 ([95% CI: -6.39 to 2.85]; P = .447). Significantly fewer patients on melatonin scored 10 or more on the Altman Self Rating Mania Scale: (odds ratio [OR] 0.164 [95% CI: 0.0260-1.0002]; P = .05). Quick Inventory of Depression Symptomatology Clinician Version-16 (QIDS-C16) scores were not significantly different. (OR 1.77 [95% CI: 0.43-7.29]; P = .430). The proportion of patients scoring less than or equal to 5 on the self-report QIDS-SR16 at end-point was greater for the melatonin group (OR 8.35 [95% CI: 1.04-67.23]; P = .046). CONCLUSIONS: In this small trial, melatonin did not effectively treat emerging hypomania or mania as there was no significant difference on the primary outcome. The sample size limitation and secondary outcomes suggest further investigation of melatonin treatment in mood episodes is indicated.

Psychosocial interventions in stimulant use disorders: a systematic review and qualitative synthesis of randomized controlled trials.

Stimulant use disorders are highly prevalent with a large burden of disease. Most clinical guidelines recommend psychosocial interventions, but there are no clear hierarchies or indications. Moreover, these interventions have been reported unevenly in the literature. Identifying the most suitable treatment for each patient therefore represents a major challenge. In this review, we describe all psychosocial interventions for stimulant use disorders investigated in randomized controlled trials - including contingency management, cognitive behavioral interventions, community reinforcement approach, 12-step program, meditation-based interventions and physical exercise, supportive expressive psychodynamic therapy, interpersonal psychotherapy, family therapy, motivational interviewing, drug counseling -, and we synthesize the main findings of these studies. Similarities and differences between treatments are highlighted, suggesting that distinct psychosocial interventions can be relevant for certain patients' groups but not for others. Conversely, several interventions can be equally effective in similar clinical contexts, suggesting that a shared element such as therapeutic alliance is key. Finally, combined approaches emerge as a viable option for people with complex needs. Future studies will need to benchmark psychosocial interventions in stimulant use disorders and ascertain markers of response with a view to individualized treatment.

Actigraphic features of bipolar disorder: A systematic review and meta-analysis.

Sleep disruptions represent a core feature of bipolar disorders and have been widely studied through the use of actigraphy, which is an objective measure of motor activity and sleep. Finding objective outcomes, which reliably measure sleep in bipolar disorders, is essential in developing better therapies and improving follow-up monitoring strategies. Our aim is to understand the role of actigraphy as an objective measure of sleep in bipolar disorder. We undertook a systematic review and meta-analysis on studies using actigraphy to detect changes in activity and sleep patterns in bipolar patients versus healthy controls. The primary outcome measures were the analyses of 'activity mean' and 'sleep duration'. As secondary outcomes we analysed 'sleep onset latency', 'sleep efficiency', and 'time awake after sleep onset'. Thirteen studies comprising 821 subjects met quality criteria for inclusion. The results show a decrease in activity mean and an altered pattern of sleep in bipolar patients. Further analyses suggest that the results might be generalized to a bipolar condition which underlies manic and depressed episodes as well as euthymic phases. This study highlights the role of actigraphy as an important objective tool for the ambulatory monitoring of sleep and activity in bipolar disorders.

Social networking sites: a clinical dilemma?

Social networking sites (SNS) are having an increasing influence on patients' lives and doctors are far from certain about how to deal with this new challenge. In our literature search, we could find no research on how doctors could engage positively with SNS to improve patient outcomes or create more patient-led care. We need to acknowledge the fact that a review of a patient's SNS page has the potential to enhance assessment and management, particularly where a corroborant history is hard to attain. As doctors, we need to think clearly about how to adapt our practice in light of this new form of communication; in particular, whether there is a case for engaging with SNS to improve patient care.

The health informatics cohort enhancement project (HICE): using routinely collected primary care data to identify people with a lifetime diagnosis of psychotic disorder.

BACKGROUND: We have previously demonstrated that routinely collected primary care data can be used to identify potential participants for trials in depression [1]. Here we demonstrate how patients with psychotic disorders can be identified from primary care records for potential inclusion in a cohort study. We discuss the strengths and limitations of this approach; assess its potential value and report challenges encountered. METHODS: We designed an algorithm with which we searched for patients with a lifetime diagnosis of psychotic disorders within the Secure Anonymised Information Linkage (SAIL) database of routinely collected health data. The algorithm was validated against the "gold standard" of a well established operational criteria checklist for psychotic and affective illness (OPCRIT). Case notes of 100 patients from a community mental health team (CMHT) in Swansea were studied of whom 80 had matched GP records. RESULTS: The algorithm had favourable test characteristics, with a very good ability to detect patients with psychotic disorders (sensitivity > 0.7) and an excellent ability not to falsely identify patients with psychotic disorders (specificity > 0.9). CONCLUSIONS: With certain limitations our algorithm can be used to search the general practice data and reliably identify patients with psychotic disorders. This may be useful in identifying candidates for potential inclusion in cohort studies.