Suppr超能文献

一种用于治疗高血糖的儿科重症监护病房床边计算机临床决策支持方案是可行、安全且具有优势的。

A Pediatric Intensive Care Unit Bedside Computer Clinical Decision Support Protocol for Hyperglycemia Is Feasible, Safe and Offers Advantages.

作者信息

Hirshberg Eliotte L, Lanspa Michael J, Wilson Emily L, Sward Katherine A, Jephson Al, Larsen Gitte Y, Morris Alan H

机构信息

1 Pulmonary and Critical Care Division, Intermountain Medical Center , Murray, Utah.

2 Center for Humanizing Critical Care, Intermountain Medical Center , Murray, Utah.

出版信息

Diabetes Technol Ther. 2017 Mar;19(3):188-193. doi: 10.1089/dia.2016.0423. Epub 2017 Mar 1.

Abstract

BACKGROUND

Computer clinical decision support (CDS) systems are uncommon in the pediatric intensive care unit (PICU), despite evidence suggesting they improve outcomes in adult ICUs. We reasoned that a bedside CDS protocol for intravenous insulin titration, eProtocol-insulin, would be feasible and safe in critically ill children.

METHODS

We retrospectively reviewed data from non-diabetic children admitted to the PICU with blood glucose (BG) ≥140 mg/dL who were managed with intravenous insulin by either unaided clinician titration or eProtocol-insulin. Primary outcomes were BG measurements in target range (80-110 mg/dL) and severe hypoglycemia (BG ≤40 mg/dL); secondary outcomes were 60-day mortality and PICU length of stay. We assessed bedside nurse satisfaction with the eProtocol-insulin protocol by using a 5-point Likert scale and measured clinician compliance with eProtocol-insulin recommendations.

RESULTS

Over 5 years, 69 children were titrated with eProtocol-insulin versus 104 by unaided clinicians. eProtocol-insulin achieved target range more frequently than clinician titration (41% vs. 32%, P < 0.001). Severe hypoglycemia was uncommon in both groups (4.3% of patients in eProtocol-insulin, 8.7% in clinician titration, P = 0.37). There were no differences in mean time to BG target or median BG between the groups. Mortality was 23% in both groups. Clinician compliance with eProtocol-insulin recommendations was 89%. Nurses believed that eProtocol-insulin was easy to understand and safer than clinician titration.

CONCLUSIONS

eProtocol-insulin is safe for titration of intravenous insulin in critically ill children. Clinical research protocols and quality improvement initiatives aimed at optimizing BG control should utilize detailed computer protocols that enable replicable clinician decisions.

摘要

背景

尽管有证据表明计算机临床决策支持(CDS)系统可改善成人重症监护病房(ICU)的治疗效果,但在儿科重症监护病房(PICU)中并不常见。我们推断,一种用于静脉胰岛素滴定的床边CDS方案——电子方案胰岛素,在危重症儿童中是可行且安全的。

方法

我们回顾性分析了入住PICU且血糖(BG)≥140mg/dL的非糖尿病儿童的数据,这些儿童通过临床医生自主滴定或电子方案胰岛素进行静脉胰岛素治疗。主要结局指标为血糖在目标范围(80 - 110mg/dL)内的测量值和严重低血糖(BG≤40mg/dL);次要结局指标为60天死亡率和PICU住院时间。我们通过5分李克特量表评估床边护士对电子方案胰岛素方案的满意度,并测量临床医生对电子方案胰岛素建议的依从性。

结果

在5年多的时间里,69名儿童采用电子方案胰岛素进行滴定,而104名儿童由临床医生自主滴定。电子方案胰岛素比临床医生滴定更频繁地达到目标范围(41%对32%,P < 0.001)。两组中严重低血糖均不常见(电子方案胰岛素组为4.3%的患者,临床医生滴定组为8.7%,P = 0.37)。两组之间达到血糖目标的平均时间或血糖中位数无差异。两组的死亡率均为23%。临床医生对电子方案胰岛素建议的依从性为89%。护士认为电子方案胰岛素易于理解且比临床医生滴定更安全。

结论

电子方案胰岛素用于危重症儿童静脉胰岛素滴定是安全的。旨在优化血糖控制的临床研究方案和质量改进措施应采用详细的计算机方案,以实现可重复的临床医生决策。

相似文献

2
A replicable method for blood glucose control in critically Ill patients.
Crit Care Med. 2008 Jun;36(6):1787-95. doi: 10.1097/CCM.0b013e3181743a5a.
4
Glucose control in pediatric intensive care unit patients using an insulin-glucose algorithm.
Diabetes Technol Ther. 2007 Jun;9(3):211-22. doi: 10.1089/dia.2006.0031.
8
An in silico method to identify computer-based protocols worthy of clinical study: An insulin infusion protocol use case.
J Am Med Inform Assoc. 2016 Mar;23(2):283-8. doi: 10.1093/jamia/ocv067. Epub 2015 Jul 30.
9
Performance of a dose-defining insulin infusion protocol among trauma service intensive care unit admissions.
Diabetes Technol Ther. 2006 Aug;8(4):476-88. doi: 10.1089/dia.2006.8.476.
10
Blood glucose control in critically ill adults and children: a survey on stated practice.
Chest. 2008 Jun;133(6):1328-1335. doi: 10.1378/chest.07-2702. Epub 2008 Mar 13.

引用本文的文献

本文引用的文献

1
Design and α-testing of an electronic rounding tool (CERTAINp) to improve process of care in pediatric intensive care unit.
J Clin Monit Comput. 2017 Dec;31(6):1313-1320. doi: 10.1007/s10877-016-9946-1. Epub 2016 Oct 18.
2
Computerized decision support in adult and pediatric critical care.
World J Crit Care Med. 2013 Nov 4;2(4):21-8. doi: 10.5492/wjccm.v2.i4.21.
3
A trial of hyperglycemic control in pediatric intensive care.
N Engl J Med. 2014 Apr 3;370(14):1355-6. doi: 10.1056/NEJMc1401343.
4
A randomized trial of hyperglycemic control in pediatric intensive care.
N Engl J Med. 2014 Jan 9;370(2):107-18. doi: 10.1056/NEJMoa1302564.
5
Clinical equipoise regarding glycemic control: a survey of pediatric intensivist perceptions.
Pediatr Crit Care Med. 2013 Feb;14(2):123-9. doi: 10.1097/PCC.0b013e31826049b3.
6
Tight glycemic control versus standard care after pediatric cardiac surgery.
N Engl J Med. 2012 Sep 27;367(13):1208-19. doi: 10.1056/NEJMoa1206044. Epub 2012 Sep 7.
8
Effects of CPOE on provider cognitive workload: a randomized crossover trial.
Pediatrics. 2012 Sep;130(3):e547-52. doi: 10.1542/peds.2011-3408. Epub 2012 Aug 13.
9
Stress hyperglycemia in pediatric critical illness: the intensive care unit adds to the stress!
J Diabetes Sci Technol. 2012 Jan 1;6(1):37-47. doi: 10.1177/193229681200600106.
10
Effects of two different levels of computerized decision support on blood glucose regulation in critically ill patients.
Int J Med Inform. 2012 Jan;81(1):53-60. doi: 10.1016/j.ijmedinf.2011.10.004. Epub 2011 Nov 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验