Bergenstal Richard M, Johnson Mary, Powers Margaret A, Wynne Alan, Vlajnic Aleksandra, Hollander Priscilla, Rendell Marc
International Diabetes Center at Park Nicollet, Minneapolis, Minnesota, USA.
Diabetes Care. 2008 Jul;31(7):1305-10. doi: 10.2337/dc07-2137. Epub 2008 Mar 25.
Carbohydrate counting is an effective approach to mealtime insulin adjustment in type 1 diabetes but has not been rigorously assessed in type 2 diabetes. We sought to compare an insulin-to-carbohydrate ratio with a simple algorithm for adjusting the dose of prandial insulin glusiline.
This 24-week, multicenter, randomized, controlled study compared two algorithms for adjusting mealtime (glulisine) insulin along with a standard algorithm for adjusting background (glargine) insulin in 273 intent-to-treat patients with type 2 diabetes. Glulisine and glargine were adjusted weekly in both groups based on self-monitored blood glucose (SMBG) results from the previous week. The simple algorithm group was provided set doses of glulisine to take before each meal. The carbohydrate counting (carb count) group was provided an insulin-to-carbohydrate ratio to use for each meal and adjusted their glulisine dose based on the amount of carbohydrate consumed.
A1C levels at week 24 were 6.70% (simple algorithm) and 6.54% (carb count). The respective mean A1C changes from baseline to 24 weeks were -1.46 and -1.59% (P = 0.24). A1C <7.0% was achieved by 73.2% (simple algorithm) and 69.2% (carb count) (P = 0.70) of subjects; respective values for A1C <6.5% were 44.3 and 49.5% (P = 0.28). The total daily dose of insulin was lower, and there was a trend toward less weight gain in carb count group patients. Severe hypoglycemia rates were low and equal in the two groups.
Weekly basal-bolus insulin adjustments based on premeal and bedtime glucose patterns resulted in significant reductions in A1C. Having two effective approaches to delivering and adjusting rapid-acting mealtime insulin may increase physicians' and patients' willingness to advance therapy to a basal-bolus insulin regimen.
碳水化合物计数法是1型糖尿病进餐时胰岛素调整的有效方法,但尚未在2型糖尿病中进行严格评估。我们试图比较胰岛素与碳水化合物的比例和一种调整餐时谷赖胰岛素剂量的简单算法。
这项为期24周的多中心随机对照研究,在273例意向性治疗的2型糖尿病患者中,比较了两种调整餐时(谷赖胰岛素)胰岛素的算法以及一种调整基础(甘精胰岛素)胰岛素的标准算法。两组均根据前一周的自我监测血糖(SMBG)结果每周调整谷赖胰岛素和甘精胰岛素剂量。简单算法组在每餐之前服用固定剂量的谷赖胰岛素。碳水化合物计数(碳水化合物计数)组获得每餐使用的胰岛素与碳水化合物的比例,并根据摄入的碳水化合物量调整其谷赖胰岛素剂量。
第24周时,糖化血红蛋白(A1C)水平分别为6.70%(简单算法)和6.54%(碳水化合物计数)。从基线到24周,各自的平均A1C变化分别为-1.46%和-1.59%(P = 0.24)。73.2%(简单算法)和69.2%(碳水化合物计数)的受试者实现了A1C<7.0%(P = 0.70);A1C<6.5%的相应值分别为44.3%和49.5%(P = 0.28)。碳水化合物计数组患者的每日胰岛素总剂量较低,且体重增加趋势较小。两组严重低血糖发生率均较低且相等。
根据餐前和睡前血糖模式每周进行基础-餐时胰岛素调整可使A1C显著降低。有两种有效的方法来提供和调整速效餐时胰岛素,可能会增加医生和患者将治疗推进到基础-餐时胰岛素方案的意愿。