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Epilepsy is a chronic illness affecting around 50 million people worldwide. Levetiracetam is an effective novel antiepileptic drug but can cause behavioural adverse events. A total of 10-15 per cent people with intellectual disability (ID) already present with Behaviour that Challenges (BtC). Brivaracetam is postulated to have a distinct pharmacological profile compared with levetiracetam which may result in fewer behavioural adverse events.

This paper presents two cases of people with epilepsy and ID being switched from levetiracetam to brivaracetam for reported behaviour adverse events.

The cases support that people with epilepsy and ID who are experiencing behavioural adverse events from levetiracetam can safely be switched to brivaracetam, resulting in significant reductions in BtC and potentially improved seizure control. Nevertheless, these results must be interpreted with caution, as aetiology for BtC in people with ID is often multifactorial.

This is one of the first papers to date, according to the best of the authors’ knowledge, to describe improved behavioural profile in people with ID and epilepsy when switching from levetiracetam to brivaracetam.

The management of individuals with autism spectrum disorders (ASDs) requires a multimodal approach of behavioural, educational and pharmacological treatments. At present, there are no available drugs to treat the core symptoms of ASDs and therefore a wide range of psychotropic medications are used in the management of problems behaviours, co-occurring psychiatric disorders and other associated features. The purpose of this paper is to map the literature on pharmacological treatment in persons with ASD in order to identify those most commonly used, choice criteria, and safety.

A systematic mapping of the recent literature was undertaken on the basis of the following questions: What are the most frequently used psychoactive compounds in ASD? What are the criteria guiding the choice of a specific compound? How effective and safe is every psychoactive drug used in ASD? The literature search was conducted through search engines available on Medline, Medmatrix, NHS Evidence, Web of Science and the Cochrane Library.

Many psychotropic medications have been studied in ASDs, but few have strong evidence to support their use. Most commonly prescribed medications, in order of frequency, are antipsychotics, antidepressants, anticonvulsants and stimulants, many of them without definitive studies guiding their usage. Recent animal studies can be useful models for understanding the common pathogenic pathways leading to ASDs, and have the potential to offer new biologically focused treatment options.

This is a practice review paper applying recent evidence from the literature.

Epilepsy is a chronic neurological disorder that can have profound physical, social and psychological consequences. We aimed to assess the clinical predictors of quality of life of people with epilepsy. We recruited 31 patients suffering from epilepsy in this cross-sectional study. Their clinical profile was recorded. Quality Of Life in Epilepsy (QOLIE-31) was used to assess quality of life of our patients. Depression was screened by Neurological Disorders Depression Inventory in Epilepsy (NDDI-E). Among all the clinical variables, only seizure frequency significantly correlated with seizure worry (P=0.002), emotional well-being (P=0.026) and social functions (P=0.013) subscales of QOLIE-31. NDDIE score showed a significant negative correlation with all the subscales of QOLIE-31 except medication effects (P=0.993). A significant positive correlation was also noted between seizure frequency and NDDI-E score (r=0.417, P=0.020). Seizure frequency and depression are the most important predictors of quality of life in epilepsy patients. The management of patients with epilepsy should not only be aimed at just preventing seizures but the treating clinicians should also be cognizant about depression which itself can significantly affect the quality of life of patients.

The purpose of this paper is to discuss the challenges of assessment and management of psychotic symptoms in a background of intellectual disability (ID) and treatment-resistant epilepsy caused by a genetic syndrome.

Ring chromosome 20 [r(20)] syndrome is characterised by the triad of severe refractory epilepsy, mild to severe ID and behavioural problems. This paper describes the presentation of r(20) syndrome in a young woman with moderate ID and treatment-resistant epilepsy, who experiences psychotic symptoms at times of improved seizure control.

There are several diagnostic possibilities for such a presentation, including psychotic symptoms due to adverse effects of anti-epileptic medications and forced normalisation (alternating psychosis).

This paper advocates judicious use of antipsychotic medication to manage psychotic symptoms, as well as involvement of both patient and close family members throughout all stages of care. It is essential to strike a balance between control of epileptic seizures and psychiatric symptoms, providing an optimal benefit to the patients’ quality of life by meeting their complex needs through a multidisciplinary and multi-agency team input.

The purpose of this paper is to review the application of a syndromic approach to seizure disorders in intellectual disabilities, in the light of recent advances in research and the International League Against Epilepsy (ILAE) Report on classification in 2010.

The ILAE Report is reviewed with an emphasis on neurodevelopmental seizure disorders, which may present to clinicians working in the field of adult intellectual disability. The advantages of applying a syndromic approach and the difficulties often encountered are also discussed.

Adopting a syndromic approach to seizure disorders in adults with intellectual disability should lead to rational prescribing, appropriate packages of care, and an improvement in the quality of research in this field.

This paper highlights the importance of identifying epilepsy syndromes in adults with intellectual disability, in the light of recent international reports on classification. It is of value to clinicians (particularly psychiatrists and learning disability nurses) practising in the field of epilepsy and intellectual disability.

Although many researchers have widely studied additive manufacturing (AM) as one of the most important industrial revolutions, few have presented a bibliometric analysis of the published studies in this area. This paper aims to evaluate AM research trends based on 4607 publications most cited from year 2010 to 2020.

The research methodology is bibliometric indicators and network analysis, including analysis based on keywords, citation analysis, productive journal, related published papers and authors indicators. Two free available software were employed VOSviewer and Bibexcel.

Keywords analysis results indicate that among the AM processes, Selective Laser Melting and Fused Deposition Modeling techniques, are the two processes ranked on top of the techniques employed and studied with 35.76% and 20.09% respectively. The citation analysis by VOSviewer software, reveals that the medical applications field and the fabrication of metal parts are the areas that interest researchers greatly. Different new research niches, as pharmaceutical industry, digital construction and food fabrication are growing topics in AM scientific works. This study reveals that journals “Materials & design”, “Advanced materials”, “Acs applied materials & interfaces”, “Additive manufacturing”, “Advanced functional materials” and “Biofabrication” are the most productive and influential in AM scientific research.

The results and conclusions of this work can be used as indicators of trends in AM research and/or as prospects for future studies in this area.

Posttraumatic stress disorder (PTSD), an anxiety disorder with lifetime prevalence of 7.8%, is characterized by symptoms that develop following exposure to traumatic life events and that cause an immediate experience of intense fear, helplessness or horror. PTSD is marked by recurrent nightmares typified by the recall of intrusive experiences and by extended disturbance throughout sleep. Individuals with PTSD respond poorly to drug treatments for insomnia. The disadvantages of drug treatment for insomnia underline the importance of non-pharmacological alternatives. Thus, the present study had three aims: first, to compare the efficiency of two relaxation techniques (muscular relaxation and progressive music relaxation) in alleviating insomnia among individuals with PTSD using both objective and subjective measures of sleep quality; second, to examine whether these two techniques have different effects on psychological indicators of PTSD, such as depression and anxiety; and finally, to examine how initial PTSD symptom severity and baseline emotional measures are related to the efficiency of these two relaxation methods. Thirteen PTSD patients with no other major psychiatric or neurological disorders participated in the study. The study comprised one seven-day running-in, no-treatment period, followed by two seven-day experimental periods. The treatments constituted either music relaxation or muscle relaxation techniques at desired bedtime. These treatments were randomly assigned. During each of these three experimental periods, subjects' sleep was continuously monitored with a wrist actigraph (Ambulatory Monitoring, Inc.), and subjects were asked to fill out several questionnaires concerned with a wide spectrum of issues, such as sleep, depression, and anxiety. Analyses revealed a significant increase in objective and subjective sleep efficiency and a significant reduction in depression level following music relaxation. Moreover, following music relaxation, a highly significant negative correlation was found between improvement in objective sleep efficiency and reduction in depression scale. The study‘s findings provide evidence that music relaxation at bedtime can be used as treatment for insomnia among individuals with PTSD.

The purpose of this paper is to examine the extent to which, in the five integrated community teams for adults with learning disabilities (CTLDs) in an English county-wide service, the use of psychotropic medication for service users was based on the presence of an appropriate mental health condition or epilepsy.

Adult participants were recruited following referral to one of the CTLDs for assessment, treatment and/or support of a possible mental health and/or behavioural need. Data were collected about participant characteristics and psychotropic medication 12 months after recruitment.

While a total of 42 (78 per cent) of the 54 participants were apparently prescribed regular or PRN (as required) psychotropic medication, only 24 (57 per cent) of these individuals had a recorded past or current mental health condition or epilepsy for which such medicine could be appropriate.

There were several limitations: the sample size was small and its representativeness was uncertain; and data collection was compromised by barriers to explicit knowledge exchange within and across the learning disability service.

While recent guidance about the use of psychotropic medication is welcome, minimising inappropriate use requires more comprehensive person-centred interventions (including crisis management plans), underpinned by imaginative, but feasible, data collection methods and integrated formulations. Investment is needed in developments that support multi-disciplinary and inter-agency working to promote “good practice” by CTLDs in responding to referrals for possible mental health and/or behavioural needs.

Complementing recent large studies of primary care (General Practitioner) records, this is the first examination of the use of psychotropic medication by service users in English CTLDs.

The cost of pharmaceutical supply chain due to drug waste is one of the current major issues in health care. Drug waste associated with intravenous (IV) fluid form of medication is one of the crucial issues for many pharmacies. The purpose of this paper is to apply a cross-docking model to minimize the IV delivery lead time to reduce drug waste by scheduling staff in a local hospital’s inpatient pharmacy.

A mixed integer linear programming model is applied to the IV delivery system of a hospital. The parameters are selected based on the observations made in the inpatient pharmacy.

The result implies that cross-docking approach can be effectively applied to IV delivery system. In fact, the cross-docking optimization model employed in this case study reduces the IV delivery completion time of the inpatient pharmacy by 41 percent.

The scope of this research is limited to the activities performed after IV preparation.

The application of cross-docking system in staff scheduling will be beneficial for health care organizations that aim to minimize medication waste.

The prime value of this study lies in the introduction of a cross-docking concept in an internal hospital ordering process. Cross-docking models are widely used in general supply chain systems; however, their application for specific activities inside hospitals is the novelty of this study, which can fill the research gap in terms of drug waste management within the inpatient pharmacy.