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Titel:

Simplifying prediction of disease progression in pre-symptomatic type 1 diabetes using a single blood sample.

Dokumenttyp:
Journal Article
Autor(en):
Bediaga, Naiara G; Li-Wai-Suen, Connie S N; Haller, Michael J; Gitelman, Stephen E; Evans-Molina, Carmella; Gottlieb, Peter A; Hippich, Markus; Ziegler, Anette-Gabriele; Lernmark, Ake; DiMeglio, Linda A; Wherrett, Diane K; Colman, Peter G; Harrison, Leonard C; Wentworth, John M
Abstract:
AIMS/HYPOTHESIS: Accurate prediction of disease progression in individuals with pre-symptomatic type 1 diabetes has potential to prevent ketoacidosis and accelerate development of disease-modifying therapies. Current tools for predicting risk require multiple blood samples taken during an OGTT. Our aim was to develop and validate a simpler tool based on a single blood draw. METHODS: Models to predict disease progression using a single OGTT time point (0, 30, 60, 90 or 120 min) were developed usi...     »
Zeitschriftentitel:
Diabetologia
Jahr:
2021
Band / Volume:
64
Heft / Issue:
11
Seitenangaben Beitrag:
2432-2444
Volltext / DOI:
doi:10.1007/s00125-021-05523-2
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/34338806
Print-ISSN:
0012-186X
TUM Einrichtung:
Klinik und Poliklinik für Kinderheilkunde und Jugendmedizin
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