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Recent changes to US research funding are having far-reaching consequences that imperil the integrity of science and the provision of care to vulnerable populations. Resisting these changes, the BJPsych Portfolio reaffirms its commitment to publishing mental science and advancing psychiatric knowledge that improves the mental health of one and all.
Preliminary evidence suggests that a ketogenic diet may be effective for bipolar disorder.
Aims
To assess the impact of a ketogenic diet in bipolar disorder on clinical, metabolic and magnetic resonance spectroscopy outcomes.
Method
Euthymic individuals with bipolar disorder (N = 27) were recruited to a 6- to 8-week single-arm open pilot study of a modified ketogenic diet. Clinical, metabolic and MRS measures were assessed before and after the intervention.
Results
Of 27 recruited participants, 26 began and 20 completed the ketogenic diet. For participants completing the intervention, mean body weight fell by 4.2 kg (P < 0.001), mean body mass index fell by 1.5 kg/m2 (P < 0.001) and mean systolic blood pressure fell by 7.4 mmHg (P < 0.041). The euthymic participants had average baseline and follow-up assessments consistent with them being in the euthymic range with no statistically significant changes in Affective Lability Scale-18, Beck Depression Inventory and Young Mania Rating Scale. In participants providing reliable daily ecological momentary assessment data (n = 14), there was a positive correlation between daily ketone levels and self-rated mood (r = 0.21, P < 0.001) and energy (r = 0.19 P < 0.001), and an inverse correlation between ketone levels and both impulsivity (r = −0.30, P < 0.001) and anxiety (r = −0.19, P < 0.001). From the MRS measurements, brain glutamate plus glutamine concentration decreased by 11.6% in the anterior cingulate cortex (P = 0.025) and fell by 13.6% in the posterior cingulate cortex (P = <0.001).
Conclusions
These findings suggest that a ketogenic diet may be clinically useful in bipolar disorder, for both mental health and metabolic outcomes. Replication and randomised controlled trials are now warranted.
Is childhood something that we can leave behind, or indeed should? In their latest article for Think, Emma Swinn and Steven Campbell-Harris challenge the conventional understanding of children and adults, revealing how these rigid categories create problems in our education system, democracies and personal lives. Through the revolutionary education movement ‘Philosophy for children’ (P4C), they explore how retaining the ‘childlike’ qualities of questioning, playing and embracing uncertainty can transform our approach to learning and paradoxically help us to live more fulfilled adult lives.
Globally, there is seasonal variation in tuberculosis (TB) incidence, yet the biological and behavioural or social factors driving TB seasonality differ across countries. Understanding season-specific risk factors that may be specific to the UK could help shape future decision-making for TB control. We conducted a time-series analysis using data from 152,424 UK TB notifications between 2000 and 2018. Notifications were aggregated by year, month, and socio-demographic covariates, and negative binomial regression models fitted to the aggregate data. For each covariate, we calculated the size of the seasonal effect as the incidence risk ratio (IRR) for the peak versus the trough months within the year and the timing of the peak, whilst accounting for the overall trend. There was strong evidence for seasonality (p < 0.0001) with an IRR of 1.27 (95% CI 1.23–1.30). The peak was estimated to occur at the beginning of May. Significant differences in seasonal amplitude were identified across age groups, ethnicity, site of disease, latitude and, for those born abroad, time since entry to the UK. The smaller amplitude in older adults, and greater amplitude among South Asians and people who recently entered the UK may indicate the role of latent TB reactivation and vitamin D deficiency in driving seasonality.
Recent evidence from case reports suggests that a ketogenic diet may be effective for bipolar disorder. However, no clinical trials have been conducted to date.
Aims
To assess the recruitment and feasibility of a ketogenic diet intervention in bipolar disorder.
Method
Euthymic individuals with bipolar disorder were recruited to a 6–8 week trial of a modified ketogenic diet, and a range of clinical, economic and functional outcome measures were assessed. Study registration number: ISRCTN61613198.
Results
Of 27 recruited participants, 26 commenced and 20 completed the modified ketogenic diet for 6–8 weeks. The outcomes data-set was 95% complete for daily ketone measures, 95% complete for daily glucose measures and 95% complete for daily ecological momentary assessment of symptoms during the intervention period. Mean daily blood ketone readings were 1.3 mmol/L (s.d. = 0.77, median = 1.1) during the intervention period, and 91% of all readings indicated ketosis, suggesting a high degree of adherence to the diet. Over 91% of daily blood glucose readings were within normal range, with 9% indicating mild hypoglycaemia. Eleven minor adverse events were recorded, including fatigue, constipation, drowsiness and hunger. One serious adverse event was reported (euglycemic ketoacidosis in a participant taking SGLT2-inhibitor medication).
Conclusions
The recruitment and retention of euthymic individuals with bipolar disorder to a 6–8 week ketogenic diet intervention was feasible, with high completion rates for outcome measures. The majority of participants reached and maintained ketosis, and adverse events were generally mild and modifiable. A future randomised controlled trial is now warranted.
Childhood trauma and adversity are common across societies and have strong associations with physical and psychiatric morbidity throughout the life-course. One possible mechanism through which childhood trauma may predispose individuals to poor psychiatric outcomes is via associations with brain structure. This study aimed to elucidate the associations between childhood trauma and brain structure across two large, independent community cohorts.
Methods
The two samples comprised (i) a subsample of Generation Scotland (n=1,024); and (ii) individuals from UK Biobank (n=27,202). This comprised n=28,226 for mega-analysis. MRI scans were processed using Free Surfer, providing cortical, subcortical, and global brain metrics. Regression models were used to determine associations between childhood trauma measures and brain metrics and psychiatric phenotypes.
Results
Childhood trauma associated with lifetime depression across cohorts (OR 1.06 GS, 1.23 UKB), and related to early onset and recurrent course within both samples. There was evidence for associations between childhood trauma and structural brain metrics. This included reduced global brain volume, and reduced cortical surface area with highest effects in the frontal (β=−0.0385, SE=0.0048, p(FDR)=5.43x10−15) and parietal lobes (β=−0.0387, SE=0.005, p(FDR)=1.56x10−14). At a regional level the ventral diencephalon (VDc) displayed significant associations with childhood trauma measures across both cohorts and at mega-analysis (β=−0.0232, SE=0.0039, p(FDR)=2.91x10−8). There were also associations with reduced hippocampus, thalamus, and nucleus accumbens volumes.
Discussion
Associations between childhood trauma and reduced global and regional brain volumes were found, across two independent UK cohorts, and at mega-analysis. This provides robust evidence for a lasting effect of childhood adversity on brain structure.
High dose antipsychotic therapy (HDAT) is defined as “a total daily dose of a single antipsychotic which exceeds the upper limit stated in the SPC or BNF or a total daily dose of two or more antipsychotics exceeding the SPC or BNF maximum using the percentage method. Previous audits have looked at HDAT on both a national level (the Prescribing Observatory for Mental Health) and within Mersey Care NHS Foundation Trust. This audit aimed to identify the proportion of patients subject to HDAT and review combination antipsychotic strategies and consideration of Clozapine in patients subject to HDAT.
Methods
In August 2021, data were collected from the eight inpatient wards in Mersey Care NHS Foundation Trust. This involved using the Electronic Prescription and Administration system to identify those prescribed antipsychotics. Following this, the patient's electronic record was scrutinised for documentation of the rationale for HDAT, combination antipsychotics and consideration of Clozapine.
Results
129 inpatients were identified as being prescribed antipsychotic medication. 21 (16.3%) patients were prescribed combination antipsychotic therapy, with four of these patients (3.1%) being prescribed HDAT. For these four HDAT patients, there was no recorded documentation of discussion of the option of Clozapine. The most common antipsychotic combination was Paliperidone depot with oral Risperidone. 38 out of 129 (29.5%) patients had been considered for Clozapine. Reasons for Clozapine being refused included the patient declining, concerns about non-concordance with oral medication, patients having had a neutropenia on an FBC, the patient being reluctant to have regular blood tests and a patient's comorbidities.
Conclusion
When comparing the proportion of patients subject to HDAT (3.1%) to the previous Trust audit in December 2020 (9.1%), there is a recurrent theme that antipsychotic prescribing practice in Mersey Care is safe, with minimal HDAT. Of note, the figure is significantly lower than the proportion of HDAT patients identified in the 2012 national study (28%). In this audit, none of the patients on HDAT had documented consideration of Clozapine. Three of the four patients were soon to be no longer subject to HDAT which may explain this result. Compared to the Trust's HDAT audit in 2020, the percentage of patients on combination antipsychotic therapy has stayed largely the same - 16.3% compared to 17.4%. The Trust needs to strive to continue minimal HDAT prescriptions and ensure that, in those patients subject to HDAT, there is consideration of and documentation of Clozapine being considered.
Cities and municipalities know they need to regulate the rideshare industry but have only recently taken steps to do so. Beyond obvious safety concerns, regulators need to tread carefully when trying to balance public concerns related to transit and mobility with private enterprise and independent contractor status.
At the same time, drivers constitute only one piece of the ride hailing puzzle. Drivers are not a monolith, as much as they may seem, and have competing priorities among themselves. From driver protests to organized driver groups like the Independent Drivers Guild, Rideshare Drivers United and Gig Workers Rising, drivers are coming together and demanding changes – but not all of these changes are supported by all drivers.
In terms of fundamental regulation for the ride hail industry, there are two main issues: insurance and wages. In these cases, regulators can have a real impact, and there is ample opportunity for regulators to get in early and set the tone. This chapter will delineate the path of ride hail regulation, how regulators can fix erroneous regulations and how to prevent future errors.
Members of online bipolar disorder forums often report experiences of mood-stabilisation on the ketogenic diet, which has traditionally been used in the treatment of epilepsy. We examined the nature and extent of such reports.
Aims
To investigate associations between a ketogenic diet and mood stabilisation among individuals with bipolar disorder.
Method
We undertook an observational analytic study of free-text comments in online forums about mood effects of dietary interventions (ketogenic, omega-3 enriched or vegetarian) classified by a priori categories of change in mood stabilisation in 274 people with bipolar disorder.
Results
There were 141 (85.5%) free-text comments on ketogenic diets that reported a positive impact on mood stabilisation. Reports of significant mood stabilisation or remission of symptoms over a period were substantially higher for a ketogenic diet than for other diets (93/165, 56.4%, 95% CI 48.4–64.1) v. 14/94, 14.9%, 95% CI 8.4–23.7), odds ratio 7.4, 95% CI 3.8–14.1, P < 0.0001), many with detailed reports of the improvements experienced and several lasting for extended periods (months to years). Other reported associations included fewer episodes of depression (in 41.2%, 95% CI 30.6–52.4 of individuals); improved clarity of thought and speech (28.2%, 95% CI 19.0–39.0); increased energy (25.9, 95% CI 17.0–36.5); and weight loss (25.9%, 95% CI 17.0–36.5).
Conclusions
Despite the inherent limitations of the observational data based on self-reports posted online, the association strength and reports of sustained benefit support a hypothesis of a ketogenic diet being associated with beneficial effects on mood stabilisation. Caution should be exercised in interpreting this data until a controlled trial can be carried out to examine this hypothesis. These preliminary observations are generally consistent with a mitochondrial dysfunction component to bipolar disorder aetiology with ketones bypassing a block between glycolysis and the tricarboxylic acid cycle.
Impetigo is common in remote Indigenous children of northern Australia, with the primary driver in this context being Streptococcus pyogenes [or group A Streptococcus (GAS)]. To reduce the high burden of impetigo, the transmission dynamics of GAS must be more clearly elucidated. We performed whole genome sequencing on 31 GAS isolates collected in a single community from children in 11 households with ⩾2 GAS-infected children. We aimed to determine whether transmission was occurring principally within households or across the community. The 31 isolates were represented by nine multilocus sequence types and isolates within each sequence type differed from one another by only 0–3 single nucleotide polymorphisms. There was evidence of extensive transmission both within households and across the community. Our findings suggest that strategies to reduce the burden of impetigo in this setting will need to extend beyond individual households, and incorporate multi-faceted, community-wide approaches.
The purpose of this study was to explore further the hypothesis that changes in cognitive function may occur in the mild stages of multiple sclerosis (MS) by determining whether ventricular enlargement was related to cognitive function. Ten measures of ventricular size were made in a sample of 123 MS patients with mild disability and 60 well-matched healthy controls. In addition, sixteen tests of cognitive function and the Beck Depression Inventory were administered. For the MS group, there were significant correlations between the ventricular measures and cognitive performance but not for the normal controls. Scores on the Beck Depression Inventory were not correlated with either cognitive performance or ventricular enlargement. These findings suggest that for the MS group cognitive impairment was related to the disease process but not to the level of depression.
Benefit-Cost Analysis offers the perfect introduction to benefit–cost analysis. The book closely integrates the theory and practice of benefit–cost analysis using a spreadsheet framework. The spreadsheet model is constructed in a truly original way which contributes to transparency, provides a check on the accuracy of the analysis, and facilitates sensitivity, risk and alternative scenario assessment. A case study incorporating the various issues is progressively developed on a spreadsheet with the links between each stage thoroughly explained. The complete case study spreadsheet can serve as a template for the reader's own appraisal of projects in the field. In addition to the worked examples in the text some exercises are appended at the end of each chapter.For further information please visit http://www.uq.edu.au/economics/bca
In this major new work Alice Harris and Lyle Campbell set out to establish a general framework for the investigation of linguistic change. Systematic cross-linguistic comparison of syntactic change across a wide variety of languages is used to construct hypotheses about the universals and limits of language change more generally. In particular, the authors seek to move closer towards describing the range of causes of syntactic change to develop an understanding of the mechanisms of syntactic change, and to provide an understanding of why some languages undergo certain changes and not others. The authors draw on languages as diverse as Pipil and French, Georgian and Estonian, and the data presented is one of the book's great strengths. Rigor and precision are combined here with a great breadth of scholarship to produce a unique resource for the study of linguistic change, which will be of use to scholars and students alike.
The UK was one of few European countries to document a substantial wave of pandemic (H1N1) 2009 influenza in summer 2009. The First Few Hundred (FF100) project ran from April–June 2009 gathering information on early laboratory-confirmed cases across the UK. In total, 392 confirmed cases were followed up. Children were predominantly affected (median age 15 years, IQR 10–27). Symptoms were mild and similar to seasonal influenza, with the exception of diarrhoea, which was reported by 27%. Eleven per cent of all cases had an underlying medical condition, similar to the general population. The majority (92%) were treated with antiviral drugs with 12% reporting adverse effects, mainly nausea and other gastrointestinal complaints. Duration of illness was significantly shorter when antivirals were given within 48 h of onset (median 5 vs. 9 days, P=0·01). No patients died, although 14 were hospitalized, of whom three required mechanical ventilation. The FF100 identified key clinical and epidemiological characteristics of infection with this novel virus in near real-time.
The current rate of advances in genetic technology and statistical methods makes it difficult to discuss study design in mapping complex disease traits in a way that will have value beyond a relatively short time horizon. This chapter considers how knowledge about the nature of complex diseases and traits can inform study design and confines itself to genomic (rather than proteomic or metabonomic) approaches.
Genetic influences on complex traits can be considered in terms of susceptibility to disease (clinical and pre-clinical), susceptibility to differences in natural history of disease (severity, complications and prognosis), susceptibility to different therapeutic responses (efficacy and adverse effects) or in terms of the genetic determinants of normal phenotypic variation in health.
The choices between approaches depend not only on the context of the study, but also on the relative costs of ascertaining families, measuring phenotypes and genotyping. The costs of genotyping have been falling rapidly over the last decade and the trend is for genotyping to be done in a few automated high-throughput centres to maximize efficiency. In contrast, more stringent ethical and data protection legislation requirements have tended to increase unit recruitment costs, since ascertainment and recruitment procedures become more demanding and remain very labor intensive. It is likely therefore that the requirements for very large sample sizes and for large collaborative studies will increasingly involve research groups from countries of intermediate development which can assure high fidelity phenotyping, but at much lower cost than is possible in most industrialized nations.
Activity patterns of domesticated animals have largely focussed on hours of daylight and relatively few studies include detailed observations of night time activity. This has the potential to overlook behaviours of significance to the assessment of welfare. For example, stereotypic activities in laboratory mice are largely confined to dark periods, and consequently are not commonly reported by daytime laboratory workers. Use of low light video cameras coupled with infra-red or low intensity lighting now makes observation over entire light-dark cycle practical, whilst minimising disturbance to the sampled population. This paper describes the activity patterns of stabled horses over 24 hour periods. These observations can then be used as baseline for investigating the effects of changes to the stable environment on horses’ behaviour and welfare.