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一种用于术后手术患者血糖控制的新型计算机化遗忘记忆算法。

A novel computerized fading memory algorithm for glycemic control in postoperative surgical patients.

机构信息

Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA.

出版信息

Anesth Analg. 2012 Sep;115(3):580-7. doi: 10.1213/ANE.0b013e318259ee31. Epub 2012 Jun 5.

Abstract

BACKGROUND

Hyperglycemia is commonly encountered in critically ill patients and is associated with increased mortality and morbidity. To better control blood glucose levels, we previously developed a new computerized fading memory (FM) algorithm. In this study we evaluated the safety and efficacy of this algorithm in surgical intensive care unit (SICU) patients and compared its performance against the existing insulin-infusion algorithm (named VA algorithm) used in our institution.

METHODS

A computer program was developed to run the FM and VA algorithms. Forty eight patients, who were scheduled to have elective surgery, were randomly assigned to receive insulin infusion on the basis of either the FM or VA algorithm. On SICU admission, an insulin infusion was either continued from the operating room or initiated when the glucose level exceeded the target level of 140 mg/dL. Hourly blood glucose measurements were performed and entered into the computer program, which then prescribed the next insulin dose. The randomly assigned algorithm was applied for the first 8 hours of SICU stay, after which the VA algorithm was used. The number of episodes of hypoglycemia (glucose <60 mg/dL) and excessive hyperglycemia (>300 mg/dL) were noted. Additionally, the time required to bring the glucose level within target range (140 ± 20 mg/dL), the number of glucose measurements within the target range, glycemic variability, and insulin usage were analyzed and compared between the 2 algorithms.

RESULTS

Patient demographics and starting glucose levels were similar between the groups. With the existing VA algorithm, 1 episode of severe hypoglycemia was observed. Three patients did not reach the target range within 8 hours. With the FM algorithm no hypoglycemia occurred, and all patients achieved the target range within 8 hours. Glycemic variability measured by the SD of mean glucose levels was 28% (95% confidence interval, 14% to 39%) lower for the FM algorithm (P < 0.001). The FM algorithm used 1.1 U/h less insulin than did the VA algorithm (P = 0.043).

CONCLUSION

The novel computerized FM algorithm for glycemic control, which emulates physiologic biphasic insulin secretion, managed glucose better than the existing algorithm without any episodes of hypoglycemia. The FM algorithm had less glycemic variability and used less insulin when compared to the conventional clinical algorithm.

摘要

背景

高血糖在危重症患者中很常见,与死亡率和发病率增加有关。为了更好地控制血糖水平,我们之前开发了一种新的计算机化渐退记忆 (FM) 算法。在这项研究中,我们评估了该算法在外科重症监护病房 (SICU) 患者中的安全性和有效性,并将其性能与我们机构中使用的现有胰岛素输注算法 (称为 VA 算法) 进行了比较。

方法

开发了一个计算机程序来运行 FM 和 VA 算法。48 名计划接受择期手术的患者被随机分配接受基于 FM 或 VA 算法的胰岛素输注。入住 SICU 时,当血糖水平超过 140mg/dL 的目标水平时,要么继续从手术室输注胰岛素,要么开始输注胰岛素。每小时进行一次血糖测量,并输入计算机程序,程序会开出下一次胰岛素剂量。在前 8 小时的 SICU 住院期间,应用随机分配的算法,之后使用 VA 算法。记录低血糖 (血糖 <60mg/dL) 和高血糖 (>300mg/dL) 的发作次数。此外,还分析和比较了两种算法之间达到目标范围内的时间、目标范围内的血糖测量次数、血糖变异性和胰岛素使用量。

结果

两组患者的人口统计学和起始血糖水平相似。使用现有的 VA 算法,观察到 1 例严重低血糖发作。有 3 名患者在 8 小时内未达到目标范围。使用 FM 算法,没有发生低血糖,所有患者在 8 小时内达到目标范围。FM 算法的平均血糖水平标准差 (SD) 测量的血糖变异性降低了 28%(95%置信区间,14%至 39%)(P<0.001)。FM 算法比 VA 算法少使用 1.1U/h 的胰岛素(P=0.043)。

结论

新型计算机化 FM 血糖控制算法模拟生理性双相胰岛素分泌,在没有低血糖发作的情况下比现有算法更好地控制血糖。与传统临床算法相比,FM 算法的血糖变异性更小,胰岛素使用量更少。

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