All clinical trials

Evaluation of the individual cardiovascular risk profile of patients with non-alcoholic fatty liver disease (NAFLD) using 24-hour ambulatory long-term blood pressure measurement and pulse wave analysis

Extra corporeal shock wave therapy (ESWL) is recommended for pain management in patients with stone formation in pancreatic duct. ESWL can cause complete stone fragmentation and removal in 70% patients, associated with 85 to 90% pain relief. Investigators aim to study, predictors pain relief in patients who undergo ESWL, to find out which patients will improve and which patients won't improve in terms of pain.

The purpose of this study is to validate a new echocardiographic parameter evaluating right ventricular function.

This experiment is designed to analyze the metabolites in body fluids from patients with active tuberculosis and latent tuberculosis infection also with health volunteer, then combine the metabolic product features with clinical characteristics, to develop a kind of metabolites targets to evaluate the progress in tuberculosis, thus provide a basis for further utilization of humoral metabolites in the diagnosis of tuberculosis.

Non Alcoholic Fatty Liver Disease (NAFLD) is an emergent disease worldwide, and soon the leading cause of hepatic transplant in the USA. Among this high number of patients, the current challenge is to detect or even predict patients at risk of inflammation (Non Alcoholic or Steatohepatitis or NASH) and end-stage fibrosis, which are the best predictors of liver-related mortality. Visceral obesity is intimately associated with metabolic disease and adverse health outcomes, such as diabetes, and NAFLD. It has been demonstrated that visceral adipose tissue-linked inflammation was a risk factor of stroke, myocardial infarction, and others metabolic-related complications. The aim of this study was to evaluate the association of the quantity and percentage of Visceral Adipose Tissue by Dual X-Ray Absorptiometry and liver stiffness by Fibroscan in patients with type 2 diabetes, and other predictors of fibrosis such as FIB-4 and Fibrotest. We retrospectively collected the data of all the diabetic patients who had undergone a DEXA and a Fibroscan between January 1st, 2014 and Decembre 31th, 2019, in the Universitary Hospital of Nancy, France.

This research study will evaluate the association of Androgen Receptor (AR) gene expression and COVID-19 disease severity and mortality. The research procedure involves collection of a single saliva sample which will be mailed to the participants by the study team. This saliva will be used in a COVID-19 Androgen Sensitivity Test (CoVAST) which will detect AR gene expression. Eligible participants are males, at least 18 years or older, and have tested positive for COVID-19.

The study is a cross-sectional survey investigating the Periodontal health knowledge among patients with fixed orthodontic appliance attending the orthodontic department and the paid section faculty of dentistry Cairo University. The faculty of Dentistry, Cairo University is an open public facility, a tertiary healthcare and a referral center.

Communication is a social process involving individuals exchanging messages. It is usual to observe different reactions according to the manner of communication, the manner in which such information is exchanged. In this work, it will be examined how different communication modalities cause different reactions in a person. We make the assumption that each communication modality is based on a different brain network.

The objective of this investigator initiated study (IIT-001) is to obtain data on clinical methods which can be used during the examination of patients desiring binocular custom vision with the Light Adjustable Lens (LAL). An analysis of the collected data will be performed to determine whether these clinical assessments can be used by doctors to enhance their patient's clinical outcome.

It is a prospective, observational cohort study of patients with dense breast tissue. The study was based on the radiomics and other clinicopathological information of patients to establish the diagnostic system for breast disease by using artificial intelligence.