Health Sciences/Public Health, Faculty of Medicine "Carl Gustav Carus", TU Dresden, Dresden, Germany.
Center of Evidence-Based Healthcare, University Hospital "Carl Gustav Carus", TU Dresden, Dresden, Germany.
PLoS One. 2019 Jun 20;14(6):e0218807. doi: 10.1371/journal.pone.0218807. eCollection 2019.
The aim of this study was to examine the incidence trends of type 1 diabetes diagnosed with ketoacidosis in Saxony, Germany from 1999 to 2016.
The population based Childhood Diabetes Registry of Saxony comprising valid data for all children aged 0-14 years diagnosed with type 1 diabetes from1999 to 2016 were used for the analyses. Direct age-standardized incidence rates were calculated and the effects of age, sex, calendar year, home districts and family history of any types of diabetes on the incidence were modelled using Poisson regression. Trend analyses for standard rate ratios of children with moderate and severe diabetic ketoacidosis versus children with type 1 diabetes with non-diabetic ketoacidosis were performed using join point regression.
The rate of ketoacidosis at the time of the type 1 diabetes diagnosis was high with 35.2% during the entire observation period in Saxony. The Poisson regression analysis indicated a statistically significant increased occurrence of diabetic ketoacidosis for younger age-groups, but no statistically significant differences between boys and girls. The join point trend analyses show that the proportion of severe and moderate ketoacidosis is increasing disproportionally to the increase in incidence of type 1 diabetes over the years.
Due to the observed increasing incidence of diabetes as well of diabetic ketoacidosis, an educational prevention campaign is needed in Saxony as soon as possible to aid pediatricians, general physicians as well as general public to identify the early signs of type 1 diabetes.
本研究旨在探讨德国萨克森州 1999 年至 2016 年间诊断为酮症酸中毒的 1 型糖尿病发病率趋势。
本研究使用了萨克森州的儿童糖尿病注册处,该注册处包含了 1999 年至 2016 年期间所有 0-14 岁确诊为 1 型糖尿病的儿童的有效数据。计算了直接年龄标准化发病率,并使用泊松回归模型对年龄、性别、日历年份、家庭住址和任何类型糖尿病的家族史对发病率的影响进行了建模。使用连接点回归分析了中重度糖尿病酮症酸中毒与非糖尿病酮症酸中毒 1 型糖尿病儿童的标准比率比的趋势。
在整个观察期内,萨克森州 1 型糖尿病诊断时酮症酸中毒的发生率高达 35.2%。泊松回归分析表明,年龄较小的儿童酮症酸中毒发生率显著增加,但男孩和女孩之间无统计学差异。连接点趋势分析表明,严重和中度酮症酸中毒的比例与 1 型糖尿病发病率的逐年增加不成比例地增加。
由于观察到糖尿病以及酮症酸中毒的发病率不断增加,萨克森州需要尽快开展教育预防活动,帮助儿科医生、全科医生和普通公众识别 1 型糖尿病的早期迹象。