New findings from The Environmental Determinants of Diabetes in the Young (TEDDY) study in the U.S. and Europe show that detailed information about the order, timing and type of autoantibodies appearing after the first autoantibody can significantly improve prediction of which children are most likely to progress to type 1 diabetes more rapidly. The analysis, led by the USF Health Informatics Institute, could help diagnose T1D earlier and offers the opportunity to prevent diabetic ketoacidosis and its serious complications.
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