Active clinical trials for "Encephalitis"

DeepDoc is an AI-based decision support system for the early etiology diagnosis of neurological diseases using clinical data points from patients admitted to hospital within 24 hours.This study aims to evaluate whether the diagnosis of the DeepDoc AI-based decision support system is better than the doctor's initial diagnosis by a multi-center, superiority diagnostic study.

The FilmArray Meningitis/Encephalitis (ME) Panel (hereinafter referred to as FilmArray ME Panel) is a qualitative multiplexed nucleic acid-based in vitro diagnostic test intended for use with FilmArray systems. The FilmArray ME Panel is capable of simultaneous detection and identification of multiple bacterial, viral, and yeast nucleic acids directly from cerebrospinal fluid (CSF) specimens obtained via lumbar puncture from individuals with signs and/or symptoms of meningitis and/or encephalitis.

Background: Patients with suspected brain infections pose major challenges to low and middle income countries, including their disproportionately high burden, diverse causes with inadequate surveillance, requirement for invasive and expensive tests, and the difficulty of management without a clear diagnosis. This is all compounded by resource and system constraints. Few studies have attempted to improve the care of these people in resource-limited settings. Aim: This study sets out to improve the diagnosis and early management of people with suspected acute (<28 days of symptoms) brain infections in low and middle income countries, using a coordinated thematic approach. Outcomes: The primary outcome will be proportion of people with suspected acute brain infection receiving a diagnosis. Secondary outcomes will include mortality, length of stay in hospital, quality of life, degree of disability, and proportion having a lumbar puncture test. Participants: Children and adults with features consistent with an acute brain infection, including meningitis and encephalitis, will be recruited at a variety of hospitals in Brazil, India and Malawi. Study procedures: An assessment of current practice and capabilities at each hospital, including patient and sample journey observations and interviews with healthcare staff, will identify barriers to optimal care. Using this, a sustainable pragmatic multi-component intervention will be produced, with components modifiable to each hospital's needs. Outcomes will be reassessed post-intervention.

Autoimmune encephalitis (AE) are characterized by subacute onset of memory deficits, altered mental status or psychiatric symptoms, frequently associated with seizures, inflammatory cerebrospinal fluid and in cases with prominent limbic involvement, typical magnetic resonance imaging. Several autoantibodies (Ab) may be detected in AE, although its detection is not mandatory to establish a diagnosis. These Ab mainly recognize different synaptic and cell-surface proteins in the central nervous system, and are thought to be pathogenic as they alter the normal location or function of its antigens. The primary trigger of the immune response is unknown for most of AE. In addition to acquired susceptibility, genetic predisposition may also be important in the pathogenesis of AE. Human leukocyte antigen (HLA) is the genetic factor most frequently associated with autoimmune diseases, due to its genetic complexity and key role in the adaptive immune response. The aim of the study is to describe HLA profile in three groups of autoimmune encephalitis and related disorders: anti-LGI1, anti-CASPR2 and anti-GAD neurological diseases.

The purpose of this study is to assess clinical outcome in patients with tick borne encephalitis.

This study aims to provide an estimate of the incidence of paraneoplastic neurological syndromes and autoimmune encephalitides in France between the years 2016 and 2018. The study will describe the incidence of antibody subtypes and regional variations.

Autoimmune encephalitis involve autoantibodies targeting central nervous system, and particularly the synapse or its structure like for LGI1 protein. Anti-LGI1 encephalitis is revealed by an inflammation of the limbic system, with mainly temporal lobe, faciobrachial dystonic or generalized seizures, and cognitive disorders. This disease is rare and its clinical, EEG and radiological characterisation is not sufficiently established. The investigators will evaluate these three aspects for the anti-LGI1 cohort of patients of the National Reference Center of autoimmune encephalitis.

The aim of this non randomised retrospective study is to investigate the imaging (MRI) of auto-immune encephalitis at presentation, especially in diffusion-weighted sequences. Indeed, few series describe the MRI aspect of auto-immune at their beginning. Recognize early MRI abnormalities seen in auto-immune encephalitis could help reduce the time to positive diagnosis and improve the therapeutic management.

Anti N-methyl-D-aspartate receptor encephalitis is an autoimmune encephalitis，found in recent years，producing the specific IgG antibody induced by the NMDA receptors.It is the most common curable disease among the non infectious-autoimmune encephalitis,usually has been misdiagnosed as other causes of encephalitis.Our previous study found that there are differences between the Chinese and the foreign in anti-NMDA receptor encephalitis such as the sex ratio, the rate of combined tumor and clinical manifestations.As a new found disease,the incidence rate has been underestimated.Therefore,to establish the Registry Research Database for Chinese group of anti-NMDA receptor encephalitis is imminent.This study will combine Beijing area's hospitals and foreign experts,depending on multicenter, prospective and registry method,to understand the incidence in Beijing area,to summarize and analyze the clinical data of patients.So,there will make a solid foundation for the subsequent Beijing area detection platform and other research.