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Impact of deprivation, ethnicity, and insulin pump therapy on developmental trajectories of diabetes control in COB type 1 diabetes

机译:剥夺,种族和胰岛素泵治疗对COB型糖尿病糖尿病对糖尿病患者的发育轨迹的影响

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Background There is marked variation in diabetes outcomes for children and adolescents across the UK . We used modelling techniques to examine the independent contributions of deprivation, ethnicity, insulin pump use, and health service use on HbA 1c trajectories across adolescence. Methods Prospective data from a large UK Paediatric & Adolescent Diabetes Service on subjects with type 1 diabetes ( T1D ) aged 9‐17 years from January 2008 to December 2013: 2560 HbA 1c datapoints were available on 384 patients [193 (50.4%) female]. Sequential multilevel growth models assessed the effects of sex, duration of diabetes, deprivation, ethnicity, insulin pump use, and health service use on HbA 1c . Growth mixture models were used to identify discrete HbA 1c trajectories across adolescence. Results Mean clinic HbA 1c decreased from 2008 to 2013 by 0.122% (95% confidence interval: 0.034, 0.210; P ?=?.007) per year. The optimal multilevel growth model showed mean HbA 1c increased with age ( B ?=?0.414, P ??.0001), and that mean HbA 1c was predicted by white/British ethnicity ( B ?=??0.748, P ?=?.004), clinic visits ( B ?=?0.041, P ?=?.04), and pump use ( B ?=??0.568, P ??.0001) but not deprivation. The optimal mixture model was a four trajectory group solution, with 45.1% in Good Control, 39.6% with Deteriorating Control, 6.5% with Rapidly Deteriorating Control, and 8.8% in Poor Control across adolescence. Only pump use predicted trajectory group membership, being protective against membership of all other trajectories compared with Good Control. Conclusions Increasing uptake of insulin pumps and ensuring access to health services are likely to be the most effective means of reducing inequalities in outcomes of T1D in children and young people.
机译:背景技术在英国患有儿童和青少年的糖尿病成果有明显的变异。我们使用建模技术来研究剥夺,种族,胰岛素泵使用和跨越青春期HBA 1C轨迹的健康服务的独立贡献。方法来自英国大型儿科&amp的预期数据;青少年糖尿病患者在2008年1月至2013年1月至2013年1月至12月年龄为9-17岁的糖尿病(T1D):2560 HBA 1C DataPoints在384名患者中提供[193(50.4%)女性]。顺序多级生长模型评估了性别,糖尿病,贫乏,种族,胰岛素泵使用和健康服务在HBA 1C的效果。生长混合模型用于识别青春期的离散HBA 1C轨迹。结果平均临床HBA 1C从2008〜2013年下降0.122%(95%置信区间:0.034,0.210; p?= _ 007)。最佳的多级生长模型显示平均HBA 1c随着年龄的增长而增加(B?= 0.414,p≤0001),并且通过白色/英国种族预测了平均HBA 1C(B?= 0.748,P? =?004),诊所访问(B?= 0.041,p?=Δ.04),并泵使用(b?= 0.0568,p≤0001)但不剥夺。最佳混合模型是一种四个轨迹组溶液,45.1%良好的控制,对照劣化,对照效果较差,6.5%,跨越青春期的控制差88%。只有泵使用预测的轨迹组成员资格,与所有其他轨迹的成员身份保护,与良好的控制相比。结论增加胰岛素泵的摄取和确保对卫生服务的获取可能是减少儿童和青少年T1D的不平等的最有效手段。

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