Schmidt S, Schelde B, Nørgaard K
Department of Endocrinology, Copenhagen University Hospital, Hvidovre; Danish Diabetes Academy, Odense.
Diabet Med. 2014 Aug;31(8):886-96. doi: 10.1111/dme.12446.
Advanced carbohydrate counting, a systematic method for insulin bolus calculation, is recommended in the management of type 1 diabetes. The aim of this systematic review was to summarize all available evidence from randomized and observational studies of the effects of advanced carbohydrate counting on glycaemic control (HbA(1c)), psychosocial measures, weight and hypoglycaemic events in patients of all age groups with type 1 diabetes on a basal-bolus insulin regimen.
An electronic search of Scopus, MEDLINE and The Cochrane Library conducted in January 2013 identified 27 relevant articles. Six were randomized controlled trials and 21 were observational studies. Large heterogeneity existed across studies with regard to study design and patient populations. Reporting of statistical measures was insufficient to serve as a basis for a meta-analysis.
Overall, the studies demonstrated a positive trend in change in HbA(1c) after introduction of advanced carbohydrate counting. Reductions in HbA(1c) ranged from 0.0 to 13 mmol/mol (0.0-1.2%). Most psychosocial measures improved; however, only few improvements were considered clinically relevant. Both weight gain and reduction were registered, but most studies found no significant weight changes. The majority of studies assessing the incidence of hypoglycaemic events found a significant reduction in the event rate and none reported an increase in the incidence.
In summary, the currently available literature does not provide sufficient evidence to definitively determine the effects of advanced carbohydrate counting on HbA(1c), psychosocial measures, weight or hypoglycaemic events. Nevertheless, the method still appears preferable to other insulin dosing procedures, which justifies continued use and inclusion of advanced carbohydrate counting in clinical guidelines.
在1型糖尿病管理中,推荐采用先进的碳水化合物计算法,这是一种用于计算胰岛素大剂量的系统方法。本系统评价的目的是总结所有来自随机和观察性研究的现有证据,这些研究涉及先进的碳水化合物计算法对采用基础-餐时胰岛素方案的各年龄组1型糖尿病患者血糖控制(糖化血红蛋白[HbA(1c)])、心理社会指标、体重和低血糖事件的影响。
2013年1月对Scopus、MEDLINE和考克兰图书馆进行电子检索,共识别出27篇相关文章。其中6篇为随机对照试验,21篇为观察性研究。各项研究在研究设计和患者群体方面存在很大异质性。统计指标的报告不足以作为荟萃分析的基础。
总体而言,研究表明采用先进的碳水化合物计算法后糖化血红蛋白的变化呈积极趋势。糖化血红蛋白的降低幅度为0.0至13 mmol/mol(0.0 - 1.2%)。大多数心理社会指标有所改善;然而,只有少数改善被认为具有临床相关性。体重增加和减轻的情况均有记录,但大多数研究发现体重无显著变化。大多数评估低血糖事件发生率的研究发现事件发生率显著降低,且无一报告发生率增加。
总之,目前可得的文献没有提供足够证据来明确确定先进的碳水化合物计算法对糖化血红蛋白、心理社会指标、体重或低血糖事件的影响。尽管如此,该方法似乎仍优于其他胰岛素给药程序,这证明继续使用并将先进的碳水化合物计算法纳入临床指南是合理的。