View clinical trials related to Nasal Polyposis.
Filter by:nasosinus polyposis (=PNS) is a chronic inflammatory disease of the nasal cavity and sinus cavity with a prevalence of 2 to 4% in the general population. The functional impact of PNS has a major impact on one's quality of life.Medical treatment, nasal irrigations and local glucocorticoids as well as short treatment of oral glucocorticoids have shown a short-term benefit versus placebo. Surgery improves the efficacy of local treatments, but 40% of patients have a recurrence of polyps at 18 months and 20% of patients require a surgery recovery at 5 years. The development of monoclonal antibodies directly targeting the inflammatory way is a real public health issue. Bachert C. et al recently demonstrated the efficacy of Dupilumab (anti-IL-4/13 antibody) injected subcutaneously on the overall symptomatology of PNS. The marketing authorization (AMM) for the first biotherapy to be available soon includes PNS's severe nature and resistance to treatment, although there is no consensus definition or score to characterize this severity. This study aims at developping a score for assessing severity in PNS. We suggest that this assessment strategy could be applied to the PNS. The originality and the innovative character of this project is the statistical modeling behind the creation of the score. Thus, the importance of symptoms, anatomical and biological factors, the estimation of the quality of life of the patients, the level of care use and the number of surgeries all become measurable indicators that are a direct reflexion of the severity and the control of PNS, called latent variables because they cannot be directly measured. To consider this detail, modeling using structural equations seems optimal to develop a severity score (PSI score) of PNS in order to personalize the therapeutic care of patients. Main Objective: To develop a severity score for PNS using latent variable modeling: Polyps Severity Index (PSI)
Nasal polyposis (NP) is a disease affecting 4% of the population. This disease is frequently accompanied by olfactory disorders (41%-84% of patients) that affect patients' quality of life. The aim of this study is to show brain activity differences in olfactory areas before and after surgery in each patient and between patient groups (normosmic, hyposmic and anosmic one) using functional Magnetic Resonance Imaging (fMRI). Brain activity will be measured by the intensity of brain signals and of the size of olfactory areas during olfactory stimulation before and after surgery. We suppose that fMRI could predict whether or not the patient will be able to recover smell after surgery.