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Towards Prediction of Type 1 Diabetes Patients Who Fail to Achieve Glycemic Target
Morten Hasselstrøm Jensen1,2, Simon Cichosz1, Ole Hejlesen1
1Steno Diabetes Center North Denmark, Aalborg University Hospital, Denmark.
Abstract:
In this study, we investigated which predictors from people with type 1 diabetes at initiation of intensive treatment that increase the risk of not achieving glycemic target. Data from a clinical trial with type 1 diabetes people (n=460) were used in a logistic regression model to analyze the effect of the predictors on achievement of glycemic target. Results indicate that age, smoking, glycated hemoglobin, 1,5-anhydroglucitol and fluctuation from continuous glucose monitoring are predictors of achievement of glycemic target, which can be used in an algorithm to predict people who fail to achieve glycemic target.
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