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  1. Article ; Online: Hypo-METRICS: Hypoglycaemia-MEasurement, ThResholds and ImpaCtS-A multi-country clinical study to define the optimal threshold and duration of sensor-detected hypoglycaemia that impact the experience of hypoglycaemia, quality of life and health economic outcomes: The study protocol.

    Divilly, Patrick / Zaremba, Natalie / Mahmoudi, Zeinab / Søholm, Uffe / Pollard, Daniel J / Broadley, Melanie / Abbink, Evertine J / de Galan, Bastiaan / Pedersen-Bjergaard, Ulrik / Renard, Eric / Evans, Mark / Speight, Jane / Brennan, Alan / McCrimmon, Rory J / Müllenborn, Matthias / Heller, Simon / Seibold, Alexander / Mader, Julia K / Amiel, Stephanie A /
    Pouwer, Frans / Choudhary, Pratik

    Diabetic medicine : a journal of the British Diabetic Association

    2022  Volume 39, Issue 9, Page(s) e14892

    Abstract: Introduction: Hypoglycaemia is a significant burden to people living with diabetes and an impediment to achieving optimal glycaemic outcomes. The use of continuous glucose monitoring (CGM) has improved the capacity to assess duration and level of ... ...

    Abstract Introduction: Hypoglycaemia is a significant burden to people living with diabetes and an impediment to achieving optimal glycaemic outcomes. The use of continuous glucose monitoring (CGM) has improved the capacity to assess duration and level of hypoglycaemia. The personal impact of sensor-detected hypoglycaemia (SDH) is unclear. Hypo-METRICS is an observational study designed to define the threshold and duration of sensor glucose that provides the optimal sensitivity and specificity for events that people living with diabetes experience as hypoglycaemia.
    Methods: We will recruit 600 participants: 350 with insulin-treated type 2 diabetes, 200 with type 1 diabetes and awareness of hypoglycaemia and 50 with type 1 diabetes and impaired awareness of hypoglycaemia who have recent experience of hypoglycaemia. Participants will wear a blinded CGM device and an actigraphy monitor to differentiate awake and sleep times for 10 weeks. Participants will be asked to complete three short surveys each day using a bespoke mobile phone app, a technique known as ecological momentary assessment. Participants will also record all episodes of self-detected hypoglycaemia on the mobile app. We will use particle Markov chain Monte Carlo optimization to identify the optimal threshold and duration of SDH that have optimum sensitivity and specificity for detecting patient-reported hypoglycaemia. Key secondary objectives include measuring the impact of symptomatic and asymptomatic SDH on daily functioning and health economic outcomes.
    Ethics and dissemination: The protocol was approved by local ethical boards in all participating centres. Study results will be shared with participants, in peer-reviewed journal publications and conference presentations.
    MeSH term(s) Benchmarking ; Blood Glucose ; Blood Glucose Self-Monitoring/methods ; Diabetes Mellitus, Type 1/complications ; Diabetes Mellitus, Type 1/drug therapy ; Diabetes Mellitus, Type 2/complications ; Diabetes Mellitus, Type 2/drug therapy ; Glycated Hemoglobin A/analysis ; Humans ; Hypoglycemia/diagnosis ; Hypoglycemic Agents/therapeutic use ; Observational Studies as Topic ; Quality of Life
    Chemical Substances Blood Glucose ; Glycated Hemoglobin A ; Hypoglycemic Agents
    Language English
    Publishing date 2022-06-22
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 605769-x
    ISSN 1464-5491 ; 0742-3071 ; 1466-5468
    ISSN (online) 1464-5491
    ISSN 0742-3071 ; 1466-5468
    DOI 10.1111/dme.14892
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Genetic newborn screening and digital technologies: A project protocol based on a dual approach to shorten the rare diseases diagnostic path in Europe.

    Garnier, Nicolas / Berghout, Joanne / Zygmunt, Aldona / Singh, Deependra / Huang, Kui A / Kantz, Waltraud / Blankart, Carl Rudolf / Gillner, Sandra / Zhao, Jiawei / Roettger, Richard / Saier, Christina / Kirschner, Jan / Schenk, Joern / Atkins, Leon / Ryan, Nuala / Zarakowska, Kaja / Zschüntzsch, Jana / Zuccolo, Michela / Müllenborn, Matthias /
    Man, Yuen-Sum / Goodman, Liz / Trad, Marie / Chalandon, Anne Sophie / Sansen, Stefaan / Martinez-Fresno, Maria / Badger, Shirlene / Walther van Olden, Rudolf / Rothmann, Robert / Lehner, Patrick / Tschohl, Christof / Baillon, Ludovic / Gumus, Gulcin / Gross, Edith / Stefanov, Rumen / Iskrov, Georgi / Raycheva, Ralitsa / Kostadinov, Kostadin / Mitova, Elena / Einhorn, Moshe / Einhorn, Yaron / Schepers, Josef / Hübner, Miriam / Alves, Frauke / Iskandar, Rowan / Mayer, Rudolf / Renieri, Alessandra / Piperkova, Aneta / Gut, Ivo / Beltran, Sergi / Matthiesen, Mads Emil / Poetz, Marion / Hansson, Mats / Trollmann, Regina / Agolini, Emanuele / Ottombrino, Silvia / Novelli, Antonio / Bertini, Enrico / Selvatici, Rita / Farnè, Marianna / Fortunato, Fernanda / Ferlini, Alessandra

    PloS one

    2023  Volume 18, Issue 11, Page(s) e0293503

    Abstract: Since 72% of rare diseases are genetic in origin and mostly paediatrics, genetic newborn screening represents a diagnostic "window of opportunity". Therefore, many gNBS initiatives started in different European countries. Screen4Care is a research ... ...

    Abstract Since 72% of rare diseases are genetic in origin and mostly paediatrics, genetic newborn screening represents a diagnostic "window of opportunity". Therefore, many gNBS initiatives started in different European countries. Screen4Care is a research project, which resulted of a joint effort between the European Union Commission and the European Federation of Pharmaceutical Industries and Associations. It focuses on genetic newborn screening and artificial intelligence-based tools which will be applied to a large European population of about 25.000 infants. The neonatal screening strategy will be based on targeted sequencing, while whole genome sequencing will be offered to all enrolled infants who may show early symptoms but have resulted negative at the targeted sequencing-based newborn screening. We will leverage artificial intelligence-based algorithms to identify patients using Electronic Health Records (EHR) and to build a repository "symptom checkers" for patients and healthcare providers. S4C will design an equitable, ethical, and sustainable framework for genetic newborn screening and new digital tools, corroborated by a large workout where legal, ethical, and social complexities will be addressed with the intent of making the framework highly and flexibly translatable into the diverse European health systems.
    MeSH term(s) Infant, Newborn ; Humans ; Child ; Neonatal Screening/methods ; Rare Diseases/diagnosis ; Rare Diseases/epidemiology ; Rare Diseases/genetics ; Artificial Intelligence ; Digital Technology ; Europe
    Language English
    Publishing date 2023-11-22
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0293503
    Database MEDical Literature Analysis and Retrieval System OnLINE

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