All clinical trials

CAR T cells targeting CD19 have been approved for patients with relapsed or refractory ALL, failing two or more prior protocols. Several institutional-based studies with other CAR T cells targeting CD19 have demonstrated outstanding response rates in patients with refractory disease, and the ability of CAR T cells to clear CNS leukemia. Nevertheless, these cases are sparse and have never been reported collectively. Here, we aim to retrospectively assess toxicity and long term outcome of patients treated with CAR T cells for CNS relapse of ALL.

The purpose of this study is to evaluate whether the risk of serious infections in rheumatoid arthritis patients with tocilizumab is higher than in those with tumor necrosis factor inhibitors using the nationwide real-world data.

this reseach examines the reliability and validity of 17 items- Hamilton Depression rating scale in Vietnamese population, which has been commonly used in clinical depression practice and study.

Chronic obstructive pulmonary disease (COPD) is the third leading cause of death in the World since 2003. Many people suffer from this disease or its complications for many years and die prematurely. In the European Union, the total direct costs of respiratory diseases are estimated to be around 6% of the total healthcare budget, with COPD accounting for 56% (38.6 billion Euros) of the costs of respiratory diseases. In the natural history of COPD, many patients may experience acute exacerbations (AECOPD) that are described as episodes of sustained worsening of the respiratory symptoms that result in additional therapy. These episodes of exacerbation that often require been seen in the emergency department and/or a hospital admission are associated with significant morbidity and mortality; they are responsible for a significant portion of the economic burden of the disease too. The pharmacological approach used in the management of AECOPD (inhaled bronchodilators, corticosteroids, and antibiotics), has the objective to minimize the negative impact of the current exacerbation and to prevent subsequent events. Despite the collaborative effort between the European Respiratory Society, the American Thoracic Society, and others to provide clinical recommendations for the prevention of AECOPD, there is still a considerable number of patients that are prone to suffer from recurrent exacerbations and to experience a more severe impairment in health status. Based on all the above, the aim is to identify the factors potentially associated with hospital admission in patients with AECOPD in English, French, German, and Spanish, speaking countries, and to develop a predictive model that predicts the risk of hospitalization in this group of patients, by using artificial intelligence. In this study proposes to take advantage of SAVANA, a new clinical platform, created in the context of the era of electronic medical records (EMRs), to analyse the information included in the electronic medical files (i.e., big data). This clinical platform is a powerful free-text analysis engine, capable of meaningfully interpreting the contents of the EMRs, regardless of the management system in which they operate. In this context, this machine learning analytical method can be used to build a flexible, customized and automated predictive model using the information available in EMRs.

Osteoarthritis has a multifactorial etiology: aging, genetic, sex, weight, alimentation, injuries, infections etc. The objective of the study is to investigate the eating behaviour of the patients included in the study by using a semiquantitative questionnaire (frequency and quantity) by estimating the foods that are known to be protective for osteoarthritis (vegetables, fruits, cereals) as the ones that are considered risk factors (meat origin, refined fats). Also, the oxidative-antioxidative balance will be evaluated by determining markers: oxidated glutathione/reducted glutathione, catalase enzyme, superoxide dismutase, glutathion peroxidase and malonyldialdehyde.

Patients selected for DIEP breast reconstruction were examined with preoperative CTA, Doppler Ultrasound, dynamic infrared thermography (DIRT) and Indocyanin green fluorescent angiography (ICG-FA) for perforator mapping. DIRT and ICG-FA were used to evaluate perfusion of selected perforators. Following anastomoses for the DIEP flap to internal mammary vessels , patency of the anastomosis was evaluated with DIRT and ICG-FA. Recorded images from all the modules were compared.

The objectives are to better understand, in the dialysis patient, the relationships between microvascular morphometry and cardiovascular events, survival, arterial hypertension, the pathology responsible for renal failure, the age of dialysis and metabolic parameters. The investigator team also want to better understand the relationship between the diameter of small arteries and parameters such as hypertension, the pathology that causes kidney failure, the age of dialysis, the use of VKA or EPO, metabolic parameters (HbA1c, NFS, reticulocytes, BNP, lipid balance, phosphocalcic balance).

Introduction: With the increase of the elderly population, the number of elderly patients undergoing surgery is increasing, and postoperative delirium is 11-51% depending on the type of surgery. In recent cohort studies have shown that delirium might reduce cognitive function and develop dementia. Since delirium is difficult to treat, the key to treatment is prevention, and about 40% is prevented when prophylactic intervention is applied. However, delirium is difficult to diagnose and difficult to predict, therefore, biomarkers are needed to diagnose and prevention. Exosome and brain efficiency test(electroencephalogram, and pulse wave test) have the potential of simple biomarkers that can diagnose postoperative delirium and predict cognitive decline. Purpose: The purpose of this study is to investigate the risk factors affecting delirium in the elderly who have spinal surgery and to search for biomarkers of delirium for early detection and prevention of delirium.

The first large population-based study to evaluate lower urinary tract symptoms and their impact on quality of life in night workers.

The purpose of the study is to evaluate the value of biomarkers in the diagnosis and risk stratification of patients with suspected pulmonary embolism.