Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm

Aim To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algorithm. Materials and Methods Data from adults and children with type 1 diabetes and more than two diabetes‐related visits were analysed from the Diabe...

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Veröffentlicht in:	Diabetes, obesity & metabolism obesity & metabolism, 2023-07, Vol.25 (7), p.1823-1829
Hauptverfasser:	Ibald‐Mulli, Angela, Seufert, Jochen, Grimsmann, Julia M., Laimer, Markus, Bramlage, Peter, Civet, Alexandre, Blanchon, Margot, Gosset, Simon, Templier, Alexandre, Paar, W. Dieter, Zhou, Fang Liz, Lanzinger, Stefanie
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Age Algorithms Blood Glucose Blood Glucose Self-Monitoring Body mass index Child Cohort analysis cohort study database research Diabetes diabetes complications Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - complications Diabetic ketoacidosis Diabetic Ketoacidosis - complications Diabetic Ketoacidosis - diagnosis Diabetic Ketoacidosis - epidemiology Diagnosis Glucose monitoring Humans Hypoglycemia Hypoglycemia - complications Ketoacidosis Kidney diseases Prospective Studies Retrospective Studies Thyroiditis type 1 diabetes
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