Neurologic Manifestations

This prospective cohort study aims to identify baseline clinical, laboratory, and radiological factors at admission that are associated with early neurological outcomes in children with encephalitis admitted to Assiut University Children Hospital.

The objective of this study is to assess the safety and efficacy of the Freesolve resorbable magnesium scaffold (RMS) in the treatment of subjects with up to two de novo lesions in native coronary arteries compared to the Xience coronary drug-eluting stent (DES) system

The Rett Syndrome Registry is a longitudinal observational study of individuals with MECP2 mutations and a diagnosis of Rett syndrome. Designed together with the IRSF Rett Syndrome Center of Excellence Network medical directors, this study collects data on the signs and symptoms of Rett syndrome as reported by the Rett syndrome experts and by the caregivers of individuals with Rett syndrome. This study will be used to develop consensus based guidelines for the care of your loved ones with Rett syndrome and to facilitate the development of better clinical trials and other aspects of the drug development path for Rett syndrome.

The primary aim of this implementation-effectiveness trial is to examine the effectiveness of Mindfulness-Oriented Recovery Enhancement (MORE) and patient-centered chronic pain management visits in primary care as interventions to reduce chronic pain, improve quality of life, and reduce opioid-related harms among chronic pain patients on long-term opioid therapy.

Pramlintide is a peptide analogue of human amylin which is a vasoactive signaling molecule involved in the pathogenesis of migraine. This study investigates whether pramlintide induces migraine attacks without aura in people with migraine without aura.

Pramlintide is a peptide analogue of human amylin which is a vasoactive substance involved in the pathogenesis of headache. This study investigates whether pramlintide induces migraine-like headache in people with persistent post-traumatic headache (PTH) attributed to mild traumatic brain injury (mTBI).

Anesthesia is a drug induced, reversible, comatose state that facilitates surgery and it is widely assumed that cognition returns to baseline after anesthetics have been eliminated. However, many patients have persistent memory impairment for weeks to months after surgery. Cardiac surgery appears to carry the highest risk of postoperative cognitive dysfunction (POCD). These cognitive deficits are associated with increased mortality, prolonged hospital stay and loss of independence. The investigators propose to investigate the role of Dexmedetomidine (DEX) in preventing long-term POCD after cardiac surgery and enhancing early postoperative recovery. It is anticipated that DEX will be the first effective preventative therapy for POCD, improve patient outcomes, and reduce length of stay and healthcare costs.

Systemic autoimmune myopathies are a heterogeneous group of rheumatic diseases that primarily affect the skeletal muscles. The transcranial direct current stimulation technique has been frequent, for example, in patients with ischemic stroke or for the optimization of muscular performance in athletes. However, to date, there are no studies evaluating this technique in patients with systemic autoimmune myopathies. Therefore, the main objective of the present prospective, randomized, double-blind, placebo-controlled study is to evaluate the safety and efficacy of the application of acute transcranial current stimulation session in patients with systemic autoimmune myopathies.

Future predictive modeling in emergency medicine will likely combine the use of a wide range of data points such as continuous documentation, monitoring using wearables, imaging, biomarkers, and real-time administrative data from all health care providers involved. Subsequent extensive data sets could feed advanced deep learning and neural network algorithms to accurately predict the risk of specific health conditions. Moreover, predictive analytics steers towards the development of clinical pathways that are adaptive and continuously updated, and in which healthcare decision-making is supported by sophisticated algorithms to provide the best course of action effectively and safely. The potential for predictive analytics to revolutionize many aspects of healthcare seems clear in the horizon. Information on the use in emergency medicine is scarce. Aim of the study is to evaluate the performance of using routine-data to predict resource usage in emergency medicine using the commonly encountered symptom of acute neurologic deficit. As an outlook, this might serve as a prototype for other, similar projects using routine medical data for predictive analytics in emergency medicine.