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E-mail address: dan. Email: dan. Use the link below to share a full-text version of this article with your friends and colleagues. Learn more. Whether alternative strategies shortly after diagnosis would benefit patients with insufficient glycaemic control should be investigated. Nonetheless, this group of patients is considerably less well described in the literature, compared to patients with onset during childhood or adolescence.
Since adult patients often represent a more heterogeneous group with an admixture of type 2 diabetes compared to a younger age group, disease classification and diagnosis is an added challenge. Many aspects of type 1 diabetes differ between patients with onset in childhood and adolescence compared to adult onset. Diagnostic criteria and challenges aside, we hypothesized that there might be factors, either at presentation or during the first years of treatment, that may serve as discriminators between patients who achieve robust glycaemic control and those who do not.
Such factors may be informative of unmet needs in terms of treatment modality or intensity at an early time point. Diagnosis was based on classical clinical type 1 diabetes criteria, immediate need for insulin treatment and clinical presentation history of weight loss or diabetic ketoacidosis , whereas the presence of autoantibodies was not mandatory.
A total of patients matched these selection criteria. The educational programme and standards for visits have essentially remained the same during the observational period. All laboratory and anthropometric measurements were recorded using standardized procedures at the SDC accredited laboratory. Urine albumin concentration was measured by quantitative immunological turbidimetry Hitachi analyser, Boeringer, Mannheim, Germany on a single urine specimen. Smoking was defined as either yes or no.
Subject characteristics were summarized using means and standard deviations for continuous variables and frequencies for categorical variables. To account for the naturally skewed distribution of ACR, the data were log 10 transformed before determining the mean. The initial models included main effects but no interaction terms. The model was then reduced using backward elimination.