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基于个体餐后血糖反应的个性化营养建议可改善 2 型糖尿病患者的血糖指标和 PROMs:一项真实世界评估。

Personalised Nutritional Recommendations Based on Individual Post-Prandial Glycaemic Responses Improve Glycaemic Metrics and PROMs in Patients with Type 2 Diabetes: A Real-World Assessment.

机构信息

Una Health GmbH, Rosenthaler Str. 13, 10119 Berlin, Germany.

出版信息

Nutrients. 2022 May 19;14(10):2123. doi: 10.3390/nu14102123.

Abstract

The recommended first-line therapy in type 2 diabetes (T2D) is lifestyle modification. In many patients, such interventions fail, and disease progresses inexorably to medication requirement. A potential reason for the failure of standard nutritional interventions is the use of generic dietary advice, with no personalisation to account for differences in the effect of food on blood glucose between different individuals. Another is the lack of instant feedback on the impact of dietary modification on glycaemic control, which supports sustained behaviour change. The use of continuous glucose monitoring (CGM) may help address both these shortcomings. We conducted an observational study to explore how personalised nutritional information impacts glycaemic control and patient-reported outcome measures (PROMs) of well-being. Free-living people with T2D eating their normal diet were provided with personalised nutritional recommendations by state-registered nutritionists based on the CGM-enabled analysis of individual post-prandial glycaemic responses (PPGRs). Participants demonstrated considerable inter-individual differences in PPGRs, reductions in post-prandial incremental area under the curve (iAUC) and daytime AUC, and improvements in energy levels, ability to concentrate, and other PROMs. These results suggest a role for personalised nutritional recommendations based on individual-level understanding of PPGRs in the non-pharmaceutical management of T2D.

摘要

在 2 型糖尿病(T2D)中,推荐的一线治疗方法是生活方式的改变。在许多患者中,这种干预措施失败了,疾病不可避免地发展到需要药物治疗的地步。标准营养干预失败的一个潜在原因是使用通用的饮食建议,没有个性化考虑不同个体的食物对血糖的影响的差异。另一个原因是缺乏饮食改变对血糖控制影响的即时反馈,这支持持续的行为改变。连续血糖监测(CGM)的使用可能有助于解决这两个缺点。我们进行了一项观察性研究,以探讨个性化营养信息如何影响血糖控制和患者报告的健康相关生活质量(HRQoL)指标。让自由生活的 T2D 患者按照正常饮食进食,然后由注册营养师根据 CGM 分析的个体餐后血糖反应(PPGR)提供个性化营养建议。参与者的 PPGR 存在很大的个体差异,餐后增量曲线下面积(iAUC)和日间 AUC 减少,能量水平、注意力集中能力和其他 HRQoL 指标得到改善。这些结果表明,基于个体 PPGR 水平的个性化营养建议在 T2D 的非药物管理中具有重要作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/79c7/9145975/6c84a1ce6ee0/nutrients-14-02123-g001.jpg

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