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静脉输注胰岛素期间通过算法设计实现目标达成。

Target attainment through algorithm design during intravenous insulin infusion.

作者信息

Devi Radha, Zohra Tatheer, Howard Bradley S, Braithwaite Susan S

机构信息

1 St. Francis Hospital , Evanston, Illinois.

出版信息

Diabetes Technol Ther. 2014 Apr;16(4):208-18. doi: 10.1089/dia.2013.0287. Epub 2013 Dec 19.

Abstract

BACKGROUND

Algorithms were designed under a single model, to attain differing designated glycemic targets during intravenous insulin infusion, and evaluated in order to justify computerization of the model. The approximate maintenance rate (MR) of insulin infusion is discovered according to rate of change of blood glucose (BG) and previous insulin infusion rate (IR). During treatment, re-assignment of IR depends on MR and BG. For each MR, a roughly sigmoidal relationship between BG and IR is specified, such that the inflection point falls approximately at a true target BG.

MATERIALS AND METHODS

Performance at St. Francis Hospital, Evanston, IL, was examined during use of tabular algorithms targeting three distinct BG ranges, appropriate for the treatment of hyperglycemic hyperosmolar state, diabetic ketoacidosis, or hyperglycemia accompanying other critical illness. Group membership was defined according to algorithm used for patient treatment during the first 6 months of 2012. The group geometric mean (GGM) and multiplicative surrogate standard deviation (MSSD) are reported as group measures, respectively typifying the central tendency and variability of individual patient BG distributions.

RESULTS

Between first attainment of target range BG control and a data collection end point, BG data were evaluable during treatment courses for 58 patients. During this time frame, in the group treated with target 100-149 mg/dL, there were five episodes of BG <70 mg/dL for each of five patients, with the lowest being 57 mg/dL. The GGM (with multiplicative standard deviation) was 269.4 (÷/× 1.06) mg/dL for the algorithm having target 200-299 mg/dL (n = 3 treatment courses), 172.6 (÷/× 1.15) mg/dL for target 150-199 mg/dL (n = 7), and 131.3 (÷/× 1.19) mg/dL for target 100-149 mg/dL (n = 48). The values of MSSD for the three groups were (÷/× 1.14), (÷/× 1.20), and (÷/× 1.20), respectively.

CONCLUSIONS

The pilot series suggests that once target range BG is attained, maintenance of control within each of three distinct BG target ranges is achievable, according to choice of algorithm.

摘要

背景

算法是在单一模型下设计的,用于在静脉输注胰岛素期间实现不同的指定血糖目标,并进行评估以证明该模型的计算机化合理性。根据血糖(BG)的变化率和先前的胰岛素输注速率(IR)来发现胰岛素输注的近似维持率(MR)。在治疗过程中,IR的重新分配取决于MR和BG。对于每个MR,指定了BG与IR之间大致呈S形的关系,使得拐点大致落在真实目标BG处。

材料与方法

在伊利诺伊州埃文斯顿的圣弗朗西斯医院,使用针对三个不同BG范围的表格算法进行治疗时,对其性能进行了检查,这些算法适用于治疗高渗高血糖状态、糖尿病酮症酸中毒或伴有其他危重病的高血糖症。根据2012年前6个月用于患者治疗的算法定义组。分别报告组几何均值(GGM)和乘法替代标准差(MSSD)作为组指标,分别代表个体患者BG分布的集中趋势和变异性。

结果

在首次达到目标范围BG控制到数据收集终点之间,58例患者的治疗过程中的BG数据可进行评估。在此时间段内,在目标为100 - 149 mg/dL的治疗组中,五名患者每人有五次BG <70 mg/dL的情况,最低为57 mg/dL。目标为200 - 299 mg/dL的算法(n = 3个治疗疗程)的GGM(带乘法标准差)为269.4(÷/× 1.06)mg/dL,目标为150 - 199 mg/dL的算法(n = 7)为172.6(÷/× 1.15)mg/dL,目标为100 - 149 mg/dL的算法(n = 48)为131.3(÷/× 1.19)mg/dL。三组的MSSD值分别为(÷/× 1.14)、(÷/× 1.20)和(÷/× 1.20)。

结论

该试点系列研究表明,一旦达到目标范围BG,根据算法选择,在三个不同的BG目标范围内维持控制是可以实现的。

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