Notes

Cardioprotective effect of MLN4924 about ameliorating autophagic fluctuation problems inside myocardial ischemia-reperfusion injury simply by Sirt1.
In phase 3, 286 family caregivers of people with mental illness were recruited for exploratory factor analysis. JKE-1674 nmr Internal consistency (Cronbach's coefficient) and test-retest reliability were measured.

The final draft of the SAT-FAM comprised 30 items in four factors shame and discrimination, social interaction, emotional reaction, and avoidance behaviours. The internal consistency (Cronbach's alpha) was >0.89 for all factors. The test-retest reliability among 30 family caregivers was good (0.76).

The SAT-FAM is a valid and reliable self-report instrument for assessing stigma towards family caregivers of patients with mental illness. It enables a practical way of evaluating interventions aimed at reducing stigma.
The SAT-FAM is a valid and reliable self-report instrument for assessing stigma towards family caregivers of patients with mental illness. It enables a practical way of evaluating interventions aimed at reducing stigma.
To determine associations between mindfulness meditation and mental health and health-related quality of life among Buddhist monastics.

This is a cross-sectional study of Chinese Buddhist monastics aged ≥18 years who practised mindfulness meditation daily. Mental health was assessed by the 12-item General Health Questionnaire (GHQ-12), whereas health-related quality of life was assessed by the 12-item Short Form Health Survey (SF-12). The number of years and the average daily amount of time spent in mindfulness meditation were collected.

47 monastics completed the interview. They practised mindfulness meditation for a mean of 7.3 years, 1.1 hours per day. Both the number of years (β = -0.48, p = 0.03) and amount of daily practice (β = -0.53, p < 0.001) of mindfulness meditation were associated with the GHQ-12 score, after adjusting for age, sex, education, and years of being a monastic. Only the amount of daily practice (β = 0.44, p = 0.004) was associated with the mental component summary of SF-12. Neither was associated with the physical component summary of SF-12.

Among Chinese Buddhist monastics who practise daily mindfulness meditation, spending more time each day and having longer years of practice were associated with better mental health.
Among Chinese Buddhist monastics who practise daily mindfulness meditation, spending more time each day and having longer years of practice were associated with better mental health.
Coronavirus disease 2019 (COVID-19), the respiratory illness caused by severe acute respiratory syndrome coronavirus 2, has affected hundreds of thousands of people. We aim to report the distribution of cases, prevalence, and clinical, radiological, and laboratory signs and outcomes of COVID-19 in paediatric patients. Moreover, we intend to evaluate neonatal clinical outcomes. Hence, our age range of interest is 0 to 19 years.

A systematic literature review was conducted using the Medline database to identify papers published between 1 December 2019 and 9 April 2020 on COVID-19.

The search identified 27 relevant scientific papers and letters. The review showed that the prevalence of COVID-19 in the paediatric population accounts for a small percentage of patients, whose clinical signs and symptoms are often milder than those of adults. Despite better prognosis and low mortality in children, the disease can progress to severe pneumonia in some cases, especially in the presence of co-morbidities. Children are likely to become a hidden source of infection because of their atypical presentation, and they may play a role in community transmission, leading to unfavourable outcomes. There is little evidence about intrauterine vertical transmission. As no vaccine or specific antiviral is currently available, management plans include supportive treatment.

As compared with that in adults, the presentation of COVID-19 in children is mild and has a better prognosis. Sufficient evidence regarding the probability of intrauterine vertical transmission could not be found, and further studies need to be conducted to establish this relationship.
As compared with that in adults, the presentation of COVID-19 in children is mild and has a better prognosis. Sufficient evidence regarding the probability of intrauterine vertical transmission could not be found, and further studies need to be conducted to establish this relationship.
Embolic stroke is one of the main mechanisms of ischaemic stroke. Even if treated with recommended antithrombotic agents, stroke recurrence remains high. The Shuxuetong injection, a purified extract of traditional Chinese medicine widely used for thrombus diseases in clinical practice in China, could be a promising agent to prevent stroke recurrence.

To describe the design of the Shuxuetong injection for prevention of recurrence in acute ischaemic stroke with embolism mechanisms.

The Shuxuetong for Prevention of recurrence in Acute Cerebrovascular events with Embolism (SPACE) trial is a multicentre, randomised, double-blind, placebo-controlled, parallel-group, superiority trial to evaluate the efficacy and safety of Shuxuetong injection in reducing recurrence or silent new ischaemic lesions on patients with acute embolic stroke within 10 days. An estimated 2416 patients with embolic stroke within 72 hours of symptom onset from 80 hospitals will be randomly assigned to one of two groups receiving Shuxuetong injection or placebo injection for 10 days. The primary endpoint is symptomatic or asymptomatic new cerebral infarction within 10 days after randomisation.

The SPACE Trial will provide valuable evidence for the efficacy and safety of Shuxuetong injection for the prevention of stroke recurrence in patients with imaging-defined embolic stroke.

NCT03090113.
NCT03090113.Modern clinical practice requires the integration and interpretation of ever-expanding volumes of clinical data. There is, therefore, an imperative to develop efficient ways to process and understand these large amounts of data. Neurologists work to understand the function of biological neural networks, but artificial neural networks and other forms of machine learning algorithm are likely to be increasingly encountered in clinical practice. As their use increases, clinicians will need to understand the basic principles and common types of algorithm. We aim to provide a coherent introduction to this jargon-heavy subject and equip neurologists with the tools to understand, critically appraise and apply insights from this burgeoning field.
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