Publications by authors named "M Coeckelberghs"

Objective: We investigated the effect of HLA class I risk alleles on disease progression in various phases of subclinical islet autoimmunity in first-degree relatives of patients with type 1 diabetes.

Research Design And Methods: A registry-based group of siblings/offspring (aged 0-39 years) was monitored from single- to multiple-autoantibody positivity ( = 267) and from multiple-autoantibody positivity to clinical onset ( = 252) according to , , , and status. Genetic markers were determined by PCR sequence-specific oligotyping.

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Aims/hypothesis: Secondary type 1 diabetes prevention trials require selection of participants with impending diabetes. HLA-A and -B alleles have been reported to promote disease progression. We investigated whether typing for HLA-B*18 and -B*39 may complement screening for HLA-DQ8, -DQ2 and -A*24 and autoantibodies (Abs) against islet antigen-2 (IA-2) and zinc transporter 8 (ZnT8) for predicting rapid progression to hyperglycaemia.

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Unlabelled: We aimed to investigate care processes and outcomes among children and adolescents with type 1 diabetes treated in hospital-based multidisciplinary paediatric diabetes centres. Our retrospective cross-sectional study among 12 Belgian centres included data from 974 patients with type 1 diabetes, aged 0-18 years. Questionnaires were used to collect data on demographic and clinical characteristics, as well as process of care completion and outcomes of care in 2008.

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Background: The age at clinical onset of type 1 diabetes is decreasing. Preliminary Belgian data suggested that this anticipation occurred preferentially in boys. We investigated whether this gender-specific anticipation could be confirmed over a 15-year observation period.

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Aims/hypothesis: Type 1 diabetes arises from an interplay between environmental and genetic factors. The reported seasonality at diagnosis supports the hypothesis that currently unknown external triggers play a role in the onset of the disease. We investigated whether a seasonal pattern is observed at diagnosis in Belgian Type 1 diabetic patients, and if so whether seasonality varies according to age, sex and genetic risk, all known to affect the incidence of Type 1 diabetes.

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