Sansum Diabetes Research Institute, 2219 Bath Street, Santa Barbara, CA 93105, USA.
Diabetes Educ. 2009 Nov-Dec;35(6):1023-30. doi: 10.1177/0145721709349587.
The purpose of this article is to describe how self-monitoring of blood glucose (SMBG) data is a useful tool for identifying and managing postprandial hyperglycemia (PPHG). PPHG and postprandial glucose excursions occur frequently in patients with diabetes even when hemoglobin A1C is controlled below 7.0%, and convey increased risk of cardiovascular morbidity and mortality. Consequently, effective management of diabetes must include control of postprandial glucose levels. Postprandial plasma glucose (PPG) depends on the composition of meals, specifically the amount of carbohydrates. Reduced-carbohydrate diets offer short-term improvements in glycemic control and other metabolic parameters, but await the support of long-term efficacy and safety studies. Glucose profiling and paired-meal SMBG are useful tools for detecting PPHG and glucose excursions. They provide immediate feedback to patients on the effect of foods and meals, thereby allowing appropriate food and medication adjustments to improve postprandial glycemic control.
本文旨在描述自我血糖监测(SMBG)数据如何成为识别和管理餐后高血糖(PPHG)的有用工具。即使糖化血红蛋白(HbA1c)控制在 7.0%以下,糖尿病患者也经常出现 PPHG 和餐后血糖波动,这增加了心血管发病率和死亡率的风险。因此,糖尿病的有效管理必须包括控制餐后血糖水平。餐后血浆葡萄糖(PPG)取决于膳食的组成,特别是碳水化合物的量。低碳水化合物饮食可在短期内改善血糖控制和其他代谢参数,但需要长期疗效和安全性研究的支持。血糖谱和配对餐 SMBG 是检测 PPHG 和血糖波动的有用工具。它们为患者提供食物和膳食效果的即时反馈,从而可以进行适当的饮食和药物调整,以改善餐后血糖控制。