View clinical trials related to Syndrome.
Filter by:The most pervasive sensory manifestation of TS is sensory over-responsivity (SOR). SOR is defined as excessive behavioral response to commonplace environmental stimuli. SOR is an integral but poorly understood facet of the TS phenotype, one intertwined with core elements of the disorder and worse QOL. This proposal seeks to clarify the mechanistic bases of SOR in TS. Adults with with TS will be recruited 1) to complete a standardized clinical symptom assessment battery and 2) to undergo electroencephalogram (EEG), autonomic, and audio-visual monitoring during tactile and auditory stimuli paradigms, as well as at rest.
This phase III trial studies how well blinatumomab works in combination with chemotherapy in treating patients with newly diagnosed, standard risk B-lymphoblastic leukemia or B-lymphoblastic lymphoma with or without Down syndrome. Monoclonal antibodies, such as blinatumomab, may induce changes in the body's immune system and may interfere with the ability of cancer cells to grow and spread. Chemotherapy drugs, such as vincristine, dexamethasone, prednisone, prednisolone, pegaspargase, methotrexate, cytarabine, mercaptopurine, doxorubicin, cyclophosphamide, and thioguanine, work in different ways to stop the growth of cancer cells, either by killing the cells, by stopping them from dividing, or by stopping them from spreading. Leucovorin decreases the toxic effects of methotrexate. Giving monoclonal antibody therapy with chemotherapy may kill more cancer cells. Giving blinatumomab and combination chemotherapy may work better than combination chemotherapy alone in treating patients with B-ALL. This trial also assigns patients into different chemotherapy treatment regimens based on risk (the chance of cancer returning after treatment). Treating patients with chemotherapy based on risk may help doctors decide which patients can best benefit from which chemotherapy treatment regimens.
This study is a randomized, double-blind, parallel-controlled, multicenter clinical study to evaluate the efficacy and safety of Xinnaoning capsule in the treatment of chronic stable angina pectoris (Qi stagnation and blood stasis syndrome).
The purpose of this project is to validate the diagnostic orientation properties of two new biomarkers (CD64, CD169) for patients with infectious syndromes arriving in emergency departments. This prospective observational study will focus on the quantification of these biomarkers on a hematology tube background (Pr Morange laboratory) without modifying the usual diagnostic and therapeutic procedures. The results of these assays will be compared with the diagnoses made at the end of treatment in order to determine their sensitivity and specificity. This study is the preliminary study, necessary to determine the detection characteristics of these biomarkers.
The aim of our study is to investigate the effects of game-based virtual reality exercise added to conventional physiotherapy and rehabilitation program in patients with Subacromial Impingement Syndrome (SIS). In order to evaluate its effectiveness, assessment of pain, range of motion and disability will be applied.
A retrospective, systematic study of reimbursed healthcare costs over a 10 year period in patients suffering from Familial Chylomicronaemia Syndromes (FCS) or Multifactorial Chylomicronaemia Syndromes (MCS) in order to establish the relative healthcare burden of both syndromes by linking the Hospices Civils de Lyon (HCL) registry of FCS or MCS patients and data obtained from FCS or MCS patients followed in Paris, Nantes and Lyon to the French National Health System (NHS) healthcare claims database, the Système National d'Information Inter-Régimes de l'Assurance Maladie (SNIIR-AM). A probabilistic approach will be used to link databases. This linkage will be based on the following variables: age, gender, date of discharge of any hospitalization, date of any imaging procedure. This study will help to describe, in real life, the management of severe hyperglyceridaemia in France. In addition, the descriptive results will help obtain a better understanding of the patients suffering from this disease, the burden of the disease and the healthcare consumption linked to this disease. Even if this consumption of care has been relatively unexplored until this point, it is not negligible. The potential of merging genomics and claims data for cardiovascular research could help to identify ways to optimize disease
Characterization of the genetic causes, and of the immunopathological clinical and biological manifestations in children with pediatric Evans syndrome included in a prospective national observational cohort of rare diseases.
This is a sub-study of NIDA CTN Protocol 0080: Medication Treatment for Opioid Use Disorder in Expectant Mothers (MOMs; Unique protocol ID: 2019-0429-1). Caretakers of the infants delivered by MOMs participants will be offered the opportunity to enroll in this sub-study, which is designed to evaluate the impact of extended-release buprenorphine (BUP-XR), relative to sublingual buprenorphine (BUP-SL), on infant neurodevelopment. The additional data collected in this sub-study will be combined with data from the main MOMs trial.
This is a sub-study of NIDA CTN Protocol 0080: Medication Treatment for Opioid Use Disorder in Expectant Mothers (MOMs; Unique protocol ID: 2019-0429-1). Participants in MOMs will be offered the opportunity to enroll in this sub-study, which is designed to evaluate conceptual models of the mechanisms by which extended-release buprenorphine (BUP-XR), may improve mother-infant outcomes, compared to sublingual buprenorphine (BUP-SL). The additional data collected in this sub-study will be combined with data from the main MOMs trial. It is hypothesized that: (1) the buprenorphine blood levels will vary, depending on which formulation of buprenorphine was received, (2) the variation in buprenorphine blood levels will be associated with fetal behavior (including fetal heart rate variability) (3) the variation in buprenorphine blood levels will be associated with differences in mother outcomes (including medication adherence and illicit opioid use) (4) the variation in buprenorphine blood levels and in fetal behavior will be associated with infant outcomes (including neonatal opioid withdrawal syndrome and infant development).
Polycystic ovary syndrome (PCOS) affects 10% of all women and usually presents with irregular menstrual periods and difficulties conceiving. However, PCOS is also a lifelong metabolic disorder and affected women have an increased risk of type 2 diabetes, high blood pressure, and heart disease. Increased blood levels of male hormones, also termed androgens, are found in most PCOS patients. Androgen excess appears to impair the ability of the body to respond to the sugar-regulating hormone insulin (=insulin resistance). The investigator has found that fat tissue of PCOS patients overproduces androgens and that this can result in a build-up of toxic fat, which increases insulin resistance and could cause liver damage. In a large cohort of women registered in a GP database, the study team have found that androgen excess increases the risk of fatty liver disease. The aim is to identify those women with PCOS who are at the highest risk of developing metabolic disease, which would allow for early detection and potentially prevention of type 2 diabetes, high blood pressure, fatty liver and cardiovascular disease. The investigator will assess clinical presentation, androgen production and metabolic function in women with PCOS to use similarities and differences in these parameters for the identification of subsets (=clusters) of women who are at the highest risk of metabolic disease. The investigator will do this by using a standardised set of questions to scope PCOS-related signs and symptoms and the patient's medical history and measure body composition and blood pressure. This standardised recording of a patient's clinical presentation (=clinical phenotype) is called Phenome analysis. The investigator will collect blood and urine samples for the systematic measurement of steroid hormones including a very detailed androgen profile (=steroid metabolome analysis) and of thousands of substances produced by human metabolism (=global metabolome analysis). Phenome and metabolome data will then undergo integrated computational analysis for the detection of clusters predictive of metabolic risk.