The impact of disease-modifying agents on disease progression in Parkinson’s disease is largely assessed in clinical trials using clinical rating scales. These scales have drawbacks in terms of their ability to capture the fluctuating nature of symptoms while living in a naturalistic environment. The SPHERE (Sensor Platform for HEalthcare in a Residential Environment) project has designed a multi-sensor platform with multimodal devices designed to allow continuous, relatively inexpensive, unobtrusive sensing of motor, non-motor and activities of daily living metrics in a home or a home-like environment. The aim of this study is to evaluate how the SPHERE technology can measure aspects of Parkinson’s disease.

This is a small-scale feasibility and acceptability study during which 12 pairs of participants (comprising a person with Parkinson’s and a healthy control participant) will stay and live freely for 5 days in a home-like environment embedded with SPHERE technology including environmental, appliance monitoring, wrist-worn accelerometry and camera sensors. These data will be collected alongside clinical rating scales, participant diary entries and expert clinician annotations of colour video images. Machine learning will be used to look for a signal to discriminate between Parkinson’s disease and control, and between Parkinson’s disease symptoms ‘on’ and ‘off’ medications. Additional outcome measures including bradykinesia, activity level, sleep parameters and some activities of daily living will be explored. Acceptability of the technology will be evaluated qualitatively using semi-structured interviews.

Ethical approval has been given to commence this study; the results will be disseminated as widely as appropriate.

Ethical approval has been given to commence this study; the results will be disseminated as widely as appropriate.

In recent years, quality of life (QoL) in multiple sclerosis (MS) has been gaining considerable importance in clinical research and practice. Against this backdrop, this systematic review aimed to provide a broad overview of clinical, sociodemographic and psychosocial risk and protective factors for QoL in adults with MS and analyse psychological interventions for improving QoL.

The literature search was conducted in the Scopus, Web of Science and ProQuest electronic databases. Document type was limited to articles written in English, published from January 1, 2014, to January 31, 2019. Information from the selected articles was extracted using a coding sheet and then qualitatively synthesised.

The search identified 4886 records. After duplicate removal and screening, 106 articles met the inclusion and exclusion criteria for qualitative synthesis and were assessed for study quality. Disability, fatigue, depression, cognitive impairment and unemployment were consistently identified as QoL risk factors, whereas higher self-esteem, self-efficacy, resilience and social support proved to be protective. The review analysed a wide spectrum of approaches for QoL psychological intervention, such as mindfulness, cognitive behavioural therapy, self-help groups and self-management. The majority of interventions were successful in improving various aspects of QoL.

Adequate biopsychosocial assessment is of vital importance to treat risk and promote protective factors to improve QoL in patients with MS in general care practice.

Adequate biopsychosocial assessment is of vital importance to treat risk and promote protective factors to improve QoL in patients with MS in general care practice.

In patients with non-small cell lung cancer, surgical treatment with postoperative adjuvant chemotherapy is performed. However, the improvement of overall survival achieved by postoperative adjuvant chemotherapy may be insufficient in consideration of the deterioration of quality of life (QOL). Considering the relationships among surgical treatments, inflammation and carcinogenesis, non-steroidal anti-inflammatory drugs (NSAIDs) are a candidate postoperative treatment for preventing recurrence and maintaining QOL. In this study, we investigate the effects of the perioperative administration of flurbiprofen axetil on postoperative recurrence in patients with non-small cell lung cancer.

This study is a multicentre, parallel group, open label, randomised controlled trial. Patients clinically suspected of non-small cell lung cancer are randomly assigned to the flurbiprofen axetil group or the no-NSAIDs group. A total of 420 patients (210 per group) will be registered. BAY2666605 The primary analysis will evaluate the treatment effect of flurbiprofen axetil on postoperative recurrence.

The study protocol was approved by the Clinical Research Review Board of Saitama Medical University in September 2019 (No. 192002) and will be approved by each institutional review board of all participating institutions before patient enrolment. This study complies with the latest version of the Declaration of Helsinki, Clinical Trial Act and related notifications. Results will be published in a peer-reviewed journal.

Japan Registry of Clinical Trials (jRCTs031190167; Pre-results) (https//jrct.niph.go.jp/).

Japan Registry of Clinical Trials (jRCTs031190167; Pre-results) (https//jrct.niph.go.jp/).

The SARS-CoV-2, virus that caused the COVID-19 global pandemic, possesses a neuroinvasive potential. Patients with COVID-19 infection present with neurological signs and symptoms aside from the usual respiratory affectation. Moreover, COVID-19 is associated with several neurological diseases and complications, which may eventually affect clinical outcomes.

The Philippine COVID-19 Outcomes a Retrospective study Of Neurological manifestations and Associated symptoms (The Philippine CORONA) study investigators will conduct a nationwide, multicentre study involving 37 institutions that aims to determine the neurological manifestations and factors associated with clinical outcomes in COVID-19 infection.

This is a retrospective cohort study (comparative between patients with and without neurological manifestations) via medical chart review involving adult patients with COVID-19 infection. Sample size was determined at 1342 patients. Demographic, clinical and neurological profiles will be obtained and summarised using descriptive statistics.