With the help of the algorithm, a team led by the DZD partner German Diabetes Center has identified physical characteristics that can be used to distinguish the diversity of diabetes in terms of insulin sensitivity, insulin secretion, distribution of fatty tissue and pro-inflammatory profiles. This enables early detection of people who produce less insulin within the first five years of being diagnosed with diabetes or who are prone to high blood pressure or lipid metabolism disorders.
In addition, variations in the risk of death and the risk of specific diabetes complications can be identified over a period of up to 16 years. The algorithm is based on simple, routinely available parameters.
Original publication:
Schön M et al. Analysis of type 2 diabetes heterogeneity with a tree-like representation: insights from the prospective German Diabetes Study and the LURIC cohort, The Lancet Diabetes & Endocrinology, Published online December 21, 2023; doi.org/10.1016/S2213-8587(23)00329-7