39 research outputs found

    Intact Fish Skin Graft vs. Standard of Care in Patients with Neuroischaemic Diabetic Foot Ulcers (KereFish Study) : An International, Multicentre, Double-Blind, Randomised, Controlled Trial Study Design and Rationale

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    Publisher Copyright: © 2022 by the authors.Background: Cell and/or tissue-based wound care products have slowly advanced in the treatment of non-healing ulcers, however, few studies have evaluated the effectiveness of these devices in the management of severe diabetic foot ulcers. Method: This study (KereFish) is part of a multi-national, multi-centre, randomised, controlled clinical investigation (Odin) with patients suffering from deep diabetic wounds, allowing peripheral artery disease as evaluated by an ankle brachial index equal or higher than 0.6. The study has parallel treatment groups: Group 1 treatment with Kerecis® Omega3 Wound™ versus Group 2 treatment with standard of care. The primary objective is to test the hypothesis that a larger number of severe diabetic ulcers and amputation wounds, including those with moderate arterial disease, will heal in 16 weeks when treated with Kerecis® Omega3 Wound™ than with standard of care. Conclusion: This study has received the ethics committee approval of each participating country. Inclusion of participants began in March 2020 and ended in July 2022. The first results will be presented in March 2023. The study is registered in ClinicalTrials.gov as Identifier: NCT04537520.Peer reviewe

    Clinical Characteristics and Diagnostic Criteria of Maturity-Onset Diabetes Of The Young (MODY) due to Molecular Anomalies of the HNF1A Gene

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    Context: The diagnosis of maturity-onset diabetes of the young type 3 (MODY3), associated with HNF1A molecular abnormalities, is often missed.Objective: The objective of the study was to describe the phenotypes of a large series of MODY3 patients and to reassess parameters that may improve its diagnosis. Design, Setting, and Patients: This retrospective multicenter study included 487 unrelated patients referred because of suspicion of MODY3. Genetic analysis identified 196 MODY3 and 283 non-MODY3 cases. Criteria associated with MODY3 were assessed by multivariate analysis. The capacity of the model to predict MODY3 diagnosis was assessed by the area under the receiver-operating characteristic curve and was further validated in an independent sample of 851 patients (165 MODY3 and 686 non-MODY3). Results: In the MODY3 patients, diabetes was revealed by clinical symptoms in 25% of the cases and was diagnosed by screening in the others. Age at diagnosis of diabetes was more than 25 yr in 40% of the MODY3 patients. There was considerable variability and overlap of all assessed parameters in MODY3 and non-MODY3 patients. The best predictive model was based on criteria available at diagnosis of diabetes, including age, body mass index, number of affected generations, presence of diabetes symptoms, and geographical origin. The area under the curve of the receiver-operating characteristic analysis was 0.81. When sensitivity was set to 90%, specificity was 49%. Conclusions: Differential diagnosis between MODY3 and early-onset type 2 diabetes remains difficult. Whether the proposed model will improve the pick-up rate of MODY3 diagnosis needs to be confirmed in independent populations

    Diabète de la mucoviscidose

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    La mucoviscidose est la maladie génétique autosomique dominante la plus fréquente. L espérance de vie des sujets atteints augmente avec l amélioration de la prise en charge pulmonaire et nutritionnelle. Le diabète lié à la mucoviscidose (CFRD), dont la prévalence est liée à l âge augmente également, touchant 50% des patients de plus de 35 ans. Nous avons étudié rétrospectivement dans la population mucoviscidosique suivie à Nantes l épidémiologie des patients atteints de CFRD et d intolérance au glucose, leur évolution par rapport aux normoglucidiques au niveau de l état général, des paramètres nutritionnels et pulmonaires. Nous avons également colligé les données dans les deux ans ayant précédé le diagnostic de troubles métaboliques. Les enfants étaient étudiés séparément des adultes. Sur 97 mucoviscidosiques de plus de 10 ans, il y a 40 enfants dont 15% diabétiques, et 57 adultes dont 24,56% diabétiques et 17,54% intolérants au glucose. Les CFRD adultes étaient plus âgés que les normoglucidiques. Pas de différence de sex ratio. Pas de différence dans les mutations mais tous les CFRD portaient Delta F 508. Il existe une diminution du poids plus importante chez les adultes diabétiques, un infléchissement de la courbe de croissance et une diminution de la fonction respiratoire chez l enfant. Dans l année précédant le diagnostic, l adulte CFRD présente un poids inférieur et diminuant plus vite. Dans les deux ans précédant le diagnostic, l enfant a une vitesse de croissance altérée et une diminution rapide du VEMS. Le diagnostic se fait conformément aux recommandations de l ANAES sur une hyperglycémie provoquée orale annuelle chez les sujets de plus de 15 ans, et entre 10 et 15 ans en cas de symptomatologie évocatrice. La prise en charge est surtout basée sur l insulinothérapie, pas de complications microangiopathiques du diabète dans notre population.NANTES-BU Médecine pharmacie (441092101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

    ETUDE DES ISOTYPES DES ANTICORPS ANTI-INSULINE AU COURS DU DIABETE CHEZ L'HOMME (EFFETS DE L'ADMINISTRATION SOUS-CUTANEE ET ORALE D'INSULINE)

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    NANTES-BU Médecine pharmacie (441092101) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

    Artificial Pancreas

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    A metamodel-based flexible insulin therapy for type 1 diabetes patients subjected to aerobic physical activity

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    International audiencePatients with type 1 diabetes are subject to exogenous insulin injections, whether manually or through (semi)automated insulin pumps. Basic knowledge of the patient’s characteristics and flexible insulin therapy (FIT) parameters are then needed. Specifically, artificial pancreas-like closed-loop insulin delivery systems are some of the most promising devices for substituting for endogenous insulin secretion in type 1 diabetes patients. However, these devices require self-reported information such as carbohydrates or physical activity from the patient, introducing potential miscalculations and delays that can have life-threatening consequences. Here, we display a metamodel for glucose-insulin dynamics that is subject to carbohydrate ingestion and aerobic physical activity. This metamodel incorporates major existing knowledge-based models. We derive comprehensive and universal definitions of the underlying FIT parameters to form an insulin sensitivity factor ( ISF ). In addition, the relevance of physical activity modelling is assessed, and the FIT is updated to take physical exercise into account. Specifically, we cope with physical activity by using heart rate sensors (watches) with a fully automated closed insulin loop, aiming to maximize the time spent in the glycaemic range (75.5% in the range and 1.3% below the range for hypoglycaemia on a virtual patient simulator).These mathematical parameter definitions are interesting on their own, may be new tools for assessing mathematical models and can ultimately be used in closed-loop artificial pancreas algorithms or to extend distinguished FIT
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