| 1. |
- Barker, A., et al.
(författare)
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Age-dependent decline of beta-cell function in type 1 diabetes after diagnosis: a multi-centre longitudinal study
- 2014
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Ingår i: Diabetes, obesity and metabolism. - : Wiley. - 1462-8902 .- 1463-1326. ; 16:3, s. 262-267
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Tidskriftsartikel (refereegranskat)abstract
- AimsC-peptide secretion is currently the only available clinical biomarker to measure residual -cell function in type 1 diabetes. However, the natural history of C-peptide decline after diagnosis can vary considerably dependent upon several variables. We investigated the shape of C-peptide decline over time from type 1 diabetes onset in relation to age at diagnosis, haemoglobin A1c (HbA1c) levels and insulin dose. MethodsWe analysed data from 3929 type 1 diabetes patients recruited from seven European centres representing all age groups at disease onset (childhood, adolescence and adulthood). The influence of the age at onset on -cell function was investigated in a longitudinal analysis at diagnosis and up to 5-years follow-up. ResultsFasting C-peptide (FCP) data at diagnosis were available in 3668 patients stratified according to age at diagnosis in four groups (less than5years, n=344; greater than5yearsless than10years, n=668; greater than10yearsless than18years, n=991; greater than18years, n=1655). FCP levels were positively correlated with age (pless than0.001); the subsequent decline in FCP over time was log-linear with a greater decline rate in younger age groups (pless than0.0001). ConclusionsThis study reveals a positive correlation between age at diagnosis of type 1 diabetes and FCP with a more rapid decline of -cell function in the very young patients. These data can inform the design of clinical trials using C-peptide values as an end-point for the effect of a given treatment.
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| 2. |
- Lauria, A., et al.
(författare)
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BMI is an important driver of beta-cell loss in type 1 diabetes upon diagnosis in 10 to 18-year-old children
- 2015
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Ingår i: European Journal of Endocrinology. - : BioScientifica. - 0804-4643 .- 1479-683X. ; 172:2, s. 107-113
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Body weight-related insulin resistance probably plays a role in progression to type 1 diabetes, but has an uncertain impact following diagnosis. In this study, we investigated whether BMI measured at diagnosis was an independent predictor of C-peptide decline 1-year post-diagnosis. Design: Multicentre longitudinal study carried out at diagnosis and up to 1-year follow-up. Methods: Data on C-peptide were collected from seven diabetes centres in Europe. Patients were grouped according to age at diagnosis (less than5 years, n = 126; greater than5 years less than10 years, n = 295; greater than10 years less than18 years, n = 421; greater than18 years, n = 410). Linear regression was used to investigate whether BMI was an independent predictor of change in fasting C-peptide over 1 year. Models were additionally adjusted for baseline insulin dose and HbA1c. Results: In individuals diagnosed between 0 and 5 years, 5 and 10 years and those diagnosed greater than18 years, we found no association between BMI and C-peptide decline. In patients aged 10-18 years, higher BMI at baseline was associated with a greater decline in fasting C-peptide over 1 year with a decrease (beta 95% CI; P value) of 0.025 (0.010, 0.041) nM/kg per m(2) higher baseline BMI (P = 0.001). This association remained significant after adjusting for gender and differences in HbA1c and insulin dose (beta = 0.026, 95% CI = 0.0097, 0.042; P = 0.002). Conclusions: These observations indicate that increased body weight and increased insulin demand are associated with more rapid disease progression after diagnosis of type 1 diabetes in an age group 10-18 years. This should be considered in studies of beta-cell function in type 1 diabetes.
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| 3. |
- Oris, L, et al.
(författare)
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Illness identity in individuals with a chronic illness
- 2016
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Ingår i: Annual Meeting and Scientific Sessions of the Society of Behavioral Medicine. 30 March-2 April 2016, Washington, DC, USA..
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)
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| 4. |
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| 5. |
- Patterson, C. C., et al.
(författare)
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Trends in childhood type 1 diabetes incidence in Europe during 1989-2008 : evidence of non-uniformity over time in rates of increase
- 2012
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Ingår i: Diabetologia. - : Springer-Verlag New York. - 0012-186X .- 1432-0428. ; 55:8, s. 2142-2147
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Tidskriftsartikel (refereegranskat)abstract
- The aim of the study was to describe 20-year incidence trends for childhood type 1 diabetes in 23 EURODIAB centres and compare rates of increase in the first (1989-1998) and second (1999-2008) halves of the period. All registers operate in geographically defined regions and are based on a clinical diagnosis. Completeness of registration is assessed by capture-recapture methodology. Twenty-three centres in 19 countries registered 49,969 new cases of type 1 diabetes in individuals diagnosed before their 15th birthday during the period studied. Ascertainment exceeded 90% in most registers. During the 20-year period, all but one register showed statistically significant changes in incidence, with rates universally increasing. When estimated separately for the first and second halves of the period, the median rates of increase were similar: 3.4% per annum and 3.3% per annum, respectively. However, rates of increase differed significantly between the first half and the second half for nine of the 21 registers with adequate coverage of both periods; five registers showed significantly higher rates of increase in the first half, and four significantly higher rates in the second half. The incidence rate of childhood type 1 diabetes continues to rise across Europe by an average of approximately 3-4% per annum, but the increase is not necessarily uniform, showing periods of less rapid and more rapid increase in incidence in some registers. This pattern of change suggests that important risk exposures differ over time in different European countries. Further time trend analysis and comparison of the patterns in defined regions is warranted.
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| 6. |
- Patterson, Cc, et al.
(författare)
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Seasonal variation in month of diagnosis in children with type 1 diabetes registered in 23 European centers during 1989-2008 : little short-term influence of sunshine hours or average temperature
- 2015
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Ingår i: Pediatric Diabetes. - : Wiley-Blackwell. - 1399-543X .- 1399-5448. ; 16:8, s. 573-580
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: The month of diagnosis in childhood type 1 diabetes shows seasonal variation.OBJECTIVE: We describe the pattern and investigate if year-to-year irregularities are associated with meteorological factors using data from 50 000 children diagnosed under the age of 15 yr in 23 population-based European registries during 1989-2008.METHODS: Tests for seasonal variation in monthly counts aggregated over the 20 yr period were performed. Time series regression was used to investigate if sunshine hour and average temperature data were predictive of the 240 monthly diagnosis counts after taking account of seasonality and long term trends.RESULTS: Significant sinusoidal pattern was evident in all but two small centers with peaks in November to February and relative amplitudes ranging from ±11 to ±38% (median ±17%). However, most centers showed significant departures from a sinusoidal pattern. Pooling results over centers, there was significant seasonal variation in each age-group at diagnosis, with least seasonal variation in those under 5 yr. Boys showed greater seasonal variation than girls, particularly those aged 10-14 yr. There were no differences in seasonal pattern between four 5-yr sub-periods. Departures from the sinusoidal trend in monthly diagnoses in the period were significantly associated with deviations from the norm in average temperature (0.8% reduction in diagnoses per 1 °C excess) but not with sunshine hours.CONCLUSIONS: Seasonality was consistently apparent throughout the period in all age-groups and both sexes, but girls and the under 5 s showed less marked variation. Neither sunshine hour nor average temperature data contributed in any substantial way to explaining departures from the sinusoidal pattern.
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