Shaw Geoffrey M, Chase J Geoffrey, Wong Jason, Lin Jessica, Lotz Thomas, Le Compte Aaron J, Lonergan Timothy R, Willacy Michael B, Hann Christopher E
Christchurch School of Medicine and Health Sciences, University of Otago, Christchurch, New Zealand.
Crit Care Resusc. 2006 Jun;8(2):90-9.
To examine the practical difficulties in managing hyperglycaemia in critical illness and to present recently developed model-based glycaemic management protocols to provide tight control.
Hyperglycaemia is prevalent in critical care. Current published protocols require significant added clinical effort and have highly variable results. No currently published methods successfully address the practical clinical difficulties and patient variation, while also providing safe, tight control.
We developed a unique model-based approach that manages both nutritional inputs and exogenous insulin infusions. Computerised glycaemic control methods and proof-of-concept clinical trial results are presented. The protocol has been simplified to a set of tables and adopted as a clinical practice change. Eight pilot test cases are presented to demonstrate the overall approach.
Computerised control methods lowered blood glucose (BG) levels to the range 4.0-6.1 mmol/L within 10 hours. Over 90% of pre-set hourly blood glucose targets were achieved within measurement error. Eight pilot tests of the simplified, table-based SPRINT protocol, covering 1651 patient-hours produced an average BG level of 5.7 mmol/L (SD, 0.9 mmol/L). BG levels were in the 4.0-6.1 mmol/L band for 60% of the controlled time. Just under 90% of measurements were in the range 4.0-7.0 mmol/L, with 96% in the range 4.0-7.75 mmol/L. There were no hypoglycaemic episodes, with a minimum glucose level of 3.2 mmol/L, and no additional clinical intervention was required.
The overall approach of modulating nutrition as well as insulin challenges the current practice of relying on insulin alone to reduce glycaemic levels, which often results in large variability and poor control. The protocol was developed from model-based analysis and proof-of-concept clinical trials, and then generalised to a simple, clinical practice improvement. The results show extremely tight control within safe glycaemic bands.
探讨危重症患者高血糖管理中的实际困难,并介绍最近开发的基于模型的血糖管理方案以实现严格控制。
高血糖在重症监护中很常见。当前已发表的方案需要大量额外的临床工作,且结果差异很大。目前没有已发表的方法能成功解决实际临床困难和患者个体差异问题,同时还能提供安全、严格的控制。
我们开发了一种独特的基于模型的方法,可同时管理营养输入和外源性胰岛素输注。介绍了计算机化血糖控制方法及概念验证临床试验结果。该方案已简化为一组表格,并作为临床实践变革予以采用。展示了8个试点测试案例以说明整体方法。
计算机化控制方法在10小时内将血糖(BG)水平降至4.0 - 6.1 mmol/L范围。超过90%的预设每小时血糖目标在测量误差范围内得以实现。简化的基于表格的SPRINT方案的8次试点测试,涵盖1651患者 - 小时,平均BG水平为5.7 mmol/L(标准差,0.9 mmol/L)。在60%的受控时间内,BG水平处于4.0 - 6.1 mmol/L区间。略低于90%的测量值在4.0 - 7.0 mmol/L范围内,96%在4.0 - 7.75 mmol/L范围内。未发生低血糖事件,最低血糖水平为3.2 mmol/L,且无需额外的临床干预。
调节营养以及胰岛素的整体方法挑战了当前仅依靠胰岛素来降低血糖水平的做法,后者往往导致差异很大且控制不佳。该方案基于模型分析和概念验证临床试验开发,然后推广为一种简单的临床实践改进方法。结果显示在安全血糖范围内实现了极其严格的控制。