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Psychopathological heterogeneity in manic syndromes may in part reflect underlying latent classes with characteristic outcome patterns. Differential treatment course and outcome after 12 weeks of treatment were examined for three distinct classes of patients with acute mania in bipolar disorder.
Subjects and methods
Three thousand four hundred and twenty-five patients with acute mania were divided into three distinct mania classes: ‘Typical’, ‘Psychotic’ and ‘Dual’ (i.e. comorbid substance use) mania. Persistence of class differences and social outcomes were examined, using multilevel regression analyses and odds ratios.
Results
The three classes showed substantial stability post-baseline in the pattern of associations with class-characteristic variables. Psychotic and Dual mania predicted poorer outcome in terms of psychosis comorbidity and overall bipolar and mania severity, while Dual mania additionally predicted poorer outcome of alcohol and substance abuse. Worse social outcomes were observed for both Dual and Psychotic mania.
Conclusion
The identified distinct classes are stable and associated with differential treatment outcome. Overall, Dual and Psychotic mania show less favourable outcomes compared to Typical mania. These findings additionally give rise to concern on the generalisability of randomized clinical trials RCTs.
We sought to determine the level of procedural justice experienced by individuals at the time of involuntary admission and whether this influenced future engagement with the mental health services.
Methods
Over a 15-month period, individuals admitted involuntarily were interviewed prior to discharge and at one-year follow-up.
Results
Eighty-one people participated in the study and 81% were interviewed at one-year follow-up. At the time of involuntary admission, over half of individuals experienced at least one form of physical coercion and it was found that the level of procedural justice experienced was unrelated to the use of physical coercive measures. A total of 20% of participants intended not to voluntarily engage with the mental health services upon discharge and they were more likely to have experienced lower levels of procedural justice at the time of admission. At one year following discharge, 65% of participants were adherent with outpatient appointments and 18% had been readmitted involuntarily. Insight was associated with future engagement with the mental health services; however, the level of procedural justice experienced at admission did not influence engagement.
Conclusions
This study demonstrates that the use of physical coercive measures is a separate entity from procedural justice and perceived pressures.
We evaluate for the first time the associations of brain white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) with neuropsychological variables among middle-aged bipolar I (BPI), II (BPII) and major depressive disorder (MDD) patients and controls using a path model.
Methods:
Thirteen BPI, 15 BPII, 16 MDD patients, and 21 controls underwent brain MRI and a neuropsychological examination. Two experienced neuroradiologists evaluated WMHs on the MRI scans. We constructed structural equation models to test the strength of the associations between deep WMH (DWMH) grade, neuropsychological performance and diagnostic group.
Results:
Belonging in the BPI group as opposed to the control group predicted higher DWMH grade (coefficient estimate 1.13, P = 0.012). The DWMH grade independently predicted worse performance on the Visual Span Forward test (coefficient estimate −0.48, P = 0.002). Group effects of BPI and MDD were significant in predicting poorer performance on the Digit Symbol test (coefficient estimate −5.57, P = 0.016 and coefficient estimate −5.66, P = 0.034, respectively).
Limitations:
Because of the small number of study subjects in groups, the negative results must be considered with caution.
Conclusions:
Only BPI patients had an increased risk for DWMHs. DWMHs were independently associated with deficits in visual attention.
A post-authorisation safety study was carried out as part of the EU Risk Management Plan to examine the long-term (up to 12 months) use of quetiapine XL as prescribed in general practice in England.
Aim
To present a description of the drug utilisation characteristics of quetiapine XL.
Methods
An observational, population-based cohort design using the technique of Modified Prescription-Event Monitoring (M-PEM). Patients were identified from dispensed prescriptions issued by general practitioners (GPs) for quetiapine XL between September 2008 and February 2013. Questionnaires were sent to GPs 12 months following the 1st prescription for each individual patient, requesting drug utilisation information. Cohort accrual was extended to recruit additional elderly patients (special population of interest). Summary descriptive statistics were calculated.
Results
The final M-PEM cohort consisted of 13,276 patients; median age 43 years (IQR: 33, 55) and 59.0% females. Indications for prescribing included bipolar disorder (n = 3820), MDD (n = 2844), schizophrenia (n = 2373) and other (non-licensed) indications (n = 3750). Where specified, 59.3% (7869/13,276) were reported to have used quetiapine IR (immediate release formulation) previously at any time. The median start dose was highest for patients with schizophrenia (300 mg/day [IQR 150, 450]). The final elderly cohort consisted of 3127 patients and 28.5% had indications associated with dementia. The median start dose for elderly patients was highest for patients with schizophrenia or BD (both 100 mg/day [IQR 50, 300]).
Conclusions
The prevalence of off-label prescribing in terms of indication and high doses was common, as was use in special populations such as the very elderly. Whilst off-label use may be unavoidable in certain situations, GPs may need to re-evaluate prescribing in circumstances where there may be safety concerns. This study demonstrates the ongoing importance of observational studies such as M-PEM to gather real-world clinical data to support the post-marketing benefit:risk management of new medications, or existing medications for which license extensions have been approved.
Electroconvulsive therapy (ECT) effectively treats severe depression, but not all patients remit. The aim of the study was to identify clinical factors that associate with ECT-induced remission in a community setting.
Methods:
Depressed patients who underwent ECT in 2011–2014 were identified from the Swedish National Quality Register for ECT. Remission was defined as self-rated Montgomery-Åsberg Depression Rating Scale scores of 0–10 after ECT. Other registers provided data on previous antidepressant use, comorbidities, and demographics.
Results:
Of 1671 patients fulfilling the inclusion criteria, 42.8% achieved remission. Older age, education length over 9 years, psychotic symptoms, shorter duration of preceding antidepressant use, pulse width stimulus ≥ 0.50 ms, absence of substance use disorders, anxiety diagnosis, lamotrigine, and benzodiazepines, were associated with remission.
Conclusions:
This study shows that psychotic subtype of depression and older age are clinically relevant predictors of a beneficial ECT effect. Additionally, ECT outcomes can be further improved by optimizing the treatment technique and concomitant medication.
This study examines the strength and spatial distribution of the electric field induced in the brain by electroconvulsive therapy (ECT) and magnetic seizure therapy (MST).
Methods
The electric field induced by standard (bilateral, right unilateral, and bifrontal) and experimental (focal electrically administered seizure therapy and frontomedial) ECT electrode configurations as well as a circular MST coil configuration was simulated in an anatomically realistic finite element model of the human head. Maps of the electric field strength relative to an estimated neural activation threshold were used to evaluate the stimulation strength and focality in specific brain regions of interest for these ECT and MST paradigms and various stimulus current amplitudes.
Results
The standard ECT configurations and current amplitude of 800–900 mA produced the strongest overall stimulation with median of 1.8–2.9 times neural activation threshold and more than 94% of the brain volume stimulated at suprathreshold level. All standard ECT electrode placements exposed the hippocampi to suprathreshold electric field, although there were differences across modalities with bilateral and right unilateral producing respectively the strongest and weakest hippocampal stimulation. MST stimulation is up to 9 times weaker compared to conventional ECT, resulting in direct activation of only 21% of the brain. Reducing the stimulus current amplitude can make ECT as focal as MST.
Conclusions
The relative differences in electric field strength may be a contributing factor for the cognitive sparing observed with right unilateral compared to bilateral ECT, and MST compared to right unilateral ECT. These simulations could help understand the mechanisms of seizure therapies and develop interventions with superior risk/benefit ratio.
Remote monitoring of mood disorders may be an effective and low resource option for patient follow-up, but relevant evidence remains very limited. This study explores real-life compliance and health services impacts of mood monitoring among patients with bipolar disorder in the UK.
Methods:
Patients with a diagnosis of bipolar disorder who were registered users of the True Colours monitoring system for at least 12 months at study assessment were included in this retrospective cohort study (n = 79). Compliance was measured as the proportion of valid depression and mania scale messages received in comparison to their expected numbers over the first 12 months of monitoring. Mental health service use data were extracted from case notes, costed using national unit costs, and compared 12 months before (pre-TC period) and 12 months after (TC period) patients’ engagement with monitoring. Associations with relevant patient factors were investigated in a multiple regression model.
Results:
Average compliance with monitoring was 82%. Significant increases in the annual use and costs of psychiatrist contacts and total mental health services were shown for patients newly referred to the clinic during the pre-TC period but not for long-term patients of the clinic. Psychiatric medication costs increased significantly between the pre-TC and TC periods (£ 235, P = 0.005) unrelated to patients’ referral status.
Conclusions:
Remote mood monitoring has good compliance among consenting patients with bipolar disorder. We found no associations between observed changes in mental health service costs and the introduction of monitoring except for the increase in psychiatric medication costs.
In unipolar depressed patients participating in trials on antidepressants, we investigated if illness characteristics at baseline could predict conversion to bipolar disorder.
Method
A long-term register-based follow-up study of 290 unipolar depressed patients with a mean age of 50.8 years (SD = 11.9) participating in three randomized trials on antidepressants conducted in the period 1985–1994. The independent effects of explanatory variables were examined by applying Cox regression analyses.
Results
The overall risk of conversion was 20.7%, with a mean follow-up time of 15.2 years per patient. The risk of conversion was associated with an increasing number of previous depressive episodes at baseline, [HR 1.18, 95% CI (1.10–1.26)]. No association with gender, age, age at first depressive episode, duration of baseline episode, subtype of depression or any of the investigated HAM-D subscales included was found.
Limitations
The patients were followed-up through the Danish Psychiatric Central Research Register, which resulted in inherent limitations such as possible misclassification of outcome.
Conclusion
In a sample of middle-aged hospitalized unipolar depressed patients participating in trials on antidepressants, the risk of conversion was associated with the number of previous depressive episodes. Therefore, this study emphasizes that unipolar depressed patients experiencing a relatively high number of recurrences should be followed more closely, or at least be informed about the possible increased risk of conversion.
This study investigated differences in cognitive performance between middle-aged adults with and without a lifetime history of mood disorder features, adjusting for a range of potential confounders.
Methods
Cross-sectional analysis of baseline data from the UK Biobank cohort. Adults aged 40–69 (n = 143,828) were assessed using measures of reasoning, reaction time and memory. Self-reported data on lifetime features of major depression and bipolar disorder were used to construct groups for comparison against controls. Regression models examined the association between mood disorder classification and cognitive performance, adjusting for sociodemographic, lifestyle and clinical confounders.
Results
Inverse associations between lifetime history of bipolar or severe recurrent depression features and cognitive performance were attenuated or reversed after adjusting for confounders, including psychotropic medication use and current depressive symptoms. Participants with a lifetime history of single episode or moderate recurrent depression features outperformed controls to a small (but statistically significant) degree, independent of adjustment for confounders. There was a significant interaction between use of psychotropic medication and lifetime mood disorder features, with reduced cognitive performance observed in participants taking psychotropic medication.
Conclusions
In this general population sample of adults in middle age, lifetime features of recurrent depression or bipolar disorder were only associated with cognitive impairment within unadjusted analyses. These findings underscore the importance of adjusting for potential confounders when investigating mood disorder-related cognitive function.
Diagnosing mental illness is a central role for psychiatrists. Correct diagnosis informs both treatment and prognosis, and facilitates accurate communication. We sought to explore how psychiatrists distinguished two common psychiatric diagnoses: bipolar disorder (BD) and borderline personality disorder (BPD).
Methods
We conducted a qualitative study of psychiatrists to explore their practical experience. We then sought to validate these results by conducting a questionnaire study testing the theoretical knowledge and practical experience of a large number of UK psychiatrists. Finally we studied the assessment process in NHS psychiatric teams by analysing GP letters, assessments by psychiatrists, and assessment letters.
Results
There was broad agreement in both the qualitative and questionnaire studies that the two diagnoses can be difficult to distinguish. The majority of psychiatrists demonstrated in survey responses a comprehensive understanding DSM-IV-TR criteria although many felt that these criteria did not necessarily assist diagnostic differentiation. This scepticism about diagnostic criteria appeared to strongly influence clinical practice in the sample of clinicians we observed. In only a minority of assessments were symptoms of mania or BPD sufficiently assessed to establish the presence or absence of each diagnosis.
Conclusion
Clinical diagnostic practice was not adequate to differentiate reliably BD and BPD. The absence of reliable diagnostic practice has widespread implications for patient care, service provision and the reliability of clinical case registries.
In bipolar-II (BP-II) disorder impulsivity (defined as excessive risky activities by DSM-IV-TR) is one of the symptoms of hypomania. It is unclear if impulsivity is also a trait in BP-II.
Study aim
The aim was to test if impulsivity was also a trait in BP-II.
Methods
Consecutive 136 remitted BP-II outpatients (assessed when presenting for depression by a mood disorder specialist psychiatrist using the Structured Clinical interview for DSM-IV), self-assessed trait impulsivity during follow-ups, using the Personality Questionnaire of the Structured Clinical interview for DSM-IV Axis II Disorders, in a private practice. Trait mood swings were also self-assessed, using the TEMPS-A. A trait nature of impulsivity in BP-II could be supported by finding (1) a relatively high frequency, (2) association between trait impulsivity and symptoms of past hypomania, especially impulsivity, (3) dose–response relationship between number of past hypomania symptoms and trait impulsivity, and (4) association between trait impulsivity and trait mood swings (a trait feature of BP-II).
Results
Trait impulsivity was present in 41.1% of BP-II. BP-II with, versus BP-II without, trait impulsivity had significantly more males, trait mood swings, past hypomania symptoms (irritable mood, talkativeness, increased goal-directed activity), and excessive risky activities (i.e. state impulsivity), corresponding to an irritable risky overactivity. Past state impulsivity and trait impulsivity were significantly associated. Number of past hypomania symptoms and trait impulsivity were significantly correlated. A dose–response relationship was found between number of past hypomania symptoms and trait impulsivity.
Discussion
Findings suggest that trait impulsivity may be a feature of BP-II. Limitation of self-assessment of personality traits should be taken into account. Findings may have treatment impacts, as the combination of trait impulsivity and mood swings may facilitate relapses and mixed states, which mood stabilising agents could prevent/delay.
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