Identifiying predictive factors of diabetic ketoacidosis using the Qfinder algorithm

2023, 27 April

| < 1 min read|
Grégoire Dugast
The article Identification of Predictive Factors of Diabetic Ketoacidosis in Type 1 Diabetes Using a Subgroup Discovery Algorithm” was written in collaboration with Angela Ibald-Mulli, Jochen Seufert, Julia M. Grimsmann, Markus Laimer, Peter Bramlage, Alexandre Civet, Margot Blanchon, Simon Gosset, Alexandre Templier, W. Dieter Paar, Fang Liz Zhou, Stefanie Lanzinger.

Diabetic ketoacidosis (DKA) is identified and characterized as an acute and severe hyperglycemic complication of type 1 diabetes. As a consequence of profound insulin deficiency that can lead to coma and death, it is essential to identify its predictive factors. The proprietary algorithm, Q-Finder, run on registry data from adults and children with type 1 diabetes, identified novel subgroups with an increased risk of DKA, establishing itself as an effective accelerator of biomedical discoveries.

It explains the objectives, methods, results and conclusions, with all the details and graphics present in the article.


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