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.

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.

Trends in childhood type 1 diabetes incidence in Europe during 1989-2008: evidence of non-uniformity over time in rates of increase.

AIMS/HYPOTHESIS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS/INTERPRETATION: 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.

New-onset diabetes after renal transplantation: diagnosis, incidence, risk factors, impact on outcomes, and novel implications.

OBJECTIVE: New-onset diabetes after transplantation (NODAT) is a multifactorial, complex metabolic disorder associated with impaired long-term graft function, reduced recipient survival, and increased risks of cardiovascular disease and infectious complications. The impact of NODAT is generally underestimated partly due to the inconsistent criteria that have been previously used for its diagnosis and to the generally short observation periods. The aim of this article was to review the recent literature on NODAT and to highlight the novel implications. FINDINGS: The 2010 American Diabetes Association guidelines provide useful, simplified criteria to unify the diagnosis including application of hemoglobin A1C levels. We sought to establish the impact of various modifiable and nonmodifiable risk factors. A vast number of papers have examined the effects of immunosuppressive medications on the development of NODAT: Neither calcineurin inhibitor nor sirolimus (SRL) or steroids seems to be innocent of contributing to it. Immunosuppressants account for 74% of the occurrence of NODAT. Among modifiable risk factors, obesity is independent and significant, with great prevalence in the population. In additional to lifestyle modifications, the role of bariatric surgery (BS) either before or after transplantation is highlighted herein as a strategy to reduce disease in the view of the results among overweight, nontransplanted patients. SUMMARY: Because of the strong association between high glucose values in the early posttransplant period and the development of NODAT, the condition must be recognized early after (or even before) transplantation by intensive screening. Patients at risk for NODAT must modify appropriate risk factors and particularly undergo pretransplant planning and/or posttransplant adjustment individualizing immunosuppressive therapy to mitigate the risk of this serious complication.

Sirolimus therapy predisposes to new-onset diabetes mellitus after renal transplantation: a long-term analysis of various treatment regimens.

PURPOSE: This retrospective analysis evaluated the impacts of sirolimus (SRL), cyclosporine (CsA), and steroids (S) on the occurrence, treatment, and complications of new-onset diabetes after transplantation (NODAT). METHODS: We compared 4 groups: group 1, SRL plus full-exposure CsA/S (n = 118); group 2, full-exposure CsA/S/no SRL ± antiproliferative drug (n = 141); group 3, SRL plus reduced CsA exposure/S (n = 212); and group 4, no SRL/full-exposure CsA/S ± antiproliferative drug (n = 43). RESULTS: NODAT rates reflected the level of CsA exposure; at 10 years 54% versus 30% for groups 1 versus 2 (P = .0001); at 5 years 30% versus 21% for Groups 3 versus 4 (P = .3); 81% of cases were detected within 1 year. The lower NODAT rate in group 3 reflected a benefit of reduced CsA exposure (P = .02; hazard ratio (HR), 1.006). Group 1 showed higher CsA (P = .0001) and lower SRL concentrations (P = .016) versus group 3. CsA exposure closely correlating with NODAT among group 1 (P = .0001) was the major difference between groups 1 and 3 (P = .04; HR, 0.97). Differences in steroid treatment did not play a significant role in NODAT. Comparing groups 1 and 2, SRL was an independent risk factor for NODAT (P = .004; HR, 3.5). CONCLUSIONS: Our 10-year experience revealed SRL to be an etiologic agent for NODAT, displaying interactive, possibly pharmacokinetic, and pharmacodynamic effects with concomitant CsA in combination treatment.

Early mortality in EURODIAB population-based cohorts of type 1 diabetes diagnosed in childhood since 1989.

AIMS/HYPOTHESIS: The aims of this study were to provide a contemporary picture of mortality and causes of death in Europe following a diagnosis of type 1 diabetes made before the 15th birthday, and to examine excess mortality by country for possible links to incidence level or national prosperity. METHODS: Thirteen population-based EURODIAB registers in 12 countries followed-up 28,887 children diagnosed since 1989, either by record linkage to population registers or through contact with doctors providing care. RESULTS: There were 141 deaths in the cohort during 219,061 person-years of follow-up compared with 69.1 deaths expected from national mortality rates, a standardised mortality ratio (SMR) of 2.0 (95% CI 1.7-2.4). The SMR varied from 0 to 4.7 between countries, but showed little relationship with the country's incidence rate or gross domestic product (US$ per capita). The SMR did not change significantly with attained age, calendar period or time since diagnosis. The female SMR (2.7; 95% CI 2.0-3.5) was greater than the male SMR (1.8; 95% CI 1.4-2.2), although absolute numbers of excess deaths were similar in the two sexes. One-third of deaths were classified as directly attributable to diabetes (many with mention of ketoacidosis) and half were unrelated to diabetes. There was a non-significant excess of accidental/violent deaths (48 observed vs 40.7 expected; SMR 1.2; 95% CI 0.9-1.6) but little excess in suicides (11 observed, 10.2 expected; SMR 1.1; 95% CI 0.5-1.9). CONCLUSIONS/INTERPRETATION: Before the onset of late complications, significant excess mortality existed following the diagnosis of type 1 diabetes in childhood, even in recent years. Variation between countries in this excess could not be explained.

[Incidence of type 1 childhood diabetes in Hungary (1978-1997). Hungarian Committee on the Epidemiology of Childhood Diabetes]. / A gyermekkori 1-es típusú diabetes mellitus incidenciája Magyarországon (1978-1997). Magyar Gyermekdiabetes Epidemiológiai Munkacsoport.

The incidence of Type 1 diabetes in 2417 children aged 0-14 years was studied between 1978 and 1997. Statistical analysis of the data in the twenty-year period showed a steady increase in incidence of Type 1 diabetes with an average rate of 4.8% (95% CI 4.0-5.5) per annum. The incidence rate was lowest in children aged 0 to 4 years and the highest in the age group 10 to 14 years. This increase in incidence was similar for all age groups, but it was most pronounced in the 10 to 14 year-old age group. One hundred and twenty one of the 1239 families (9.7%), one of parents was also reported to have Type 1 diabetes and in 3 (0.2%) families both parents had Type 1 diabetes. Twenty two (2.3%) of the diabetic families had a sibling with Type 1 diabetes. The nearly three-fold increase in incidence during the last two decades (3.8 per 100,000 per year in 1978; 10.7 per 100,000 per year) was probably due to environmental factors, while the high degree of familial clustering emphasises the role of genetic factors in the etiology of Type 1 diabetes.