Literature DB >> 27967226

USE OF A COMPUTER-GUIDED GLUCOSE MANAGEMENT SYSTEM TO IMPROVE GLYCEMIC CONTROL AND ADDRESS NATIONAL QUALITY MEASURES: A 7-YEAR, RETROSPECTIVE OBSERVATIONAL STUDY AT A TERTIARY CARE TEACHING HOSPITAL.

Robert J Tanenberg, Sandra Hardee, Caitlin Rothermel, Almond J Drake.   

Abstract

OBJECTIVE: Inpatient hyperglycemia, hypoglycemia, and glucose variability are associated with increased mortality. The use of an electronic glucose management system (eGMS) to guide intravenous (IV) insulin infusion has been found to significantly improve blood glucose (BG) control. This retrospective observational study evaluated the 7-year (January 2009-December 2015) impact of the EndoTool® eGMS in intensive and intermediate units at Vidant Medical Center, a 900-bed tertiary teaching hospital.
METHODS: Patients assigned to eGMS had indications for IV insulin infusion, including uncontrolled diabetes, stress hyperglycemia, and/or postoperative BG levels >140 mg/dL. This study evaluated time required to achieve BG control (<180 mg/dL; <140 mg/dL for cardiovascular surgery patients); hypoglycemia incidence (<70 and <40 mg/dL); glucose variability (assessed by SD and coefficient of variation percentage [CV%]); excursions (BG levels >180 mg/dL after control attained); and the impact of eGMS on hospital-acquired condition (HAC)-8 rates.
RESULTS: Data were available for all treated patients (492,078 BG readings from 16,850 patients). With eGMS, BG levels were brought to target within 1.5 to 2.3 hours (4.5 to 4.8 hours for cardiovascular patients). Minimal hypoglycemia was observed (BG values <70 mg/dL, 0.93%; <40 mg/dL, 0.03%), and analysis of variance of BG values <70 mg/dL showed significant reductions over time in hypoglycemia frequency, from 1.04% in 2009 to 0.46% in 2015 (P<.0001). The CV% per patient visit was 26.5 (±12.9)%, and 4% of patients experienced glucose excursions (defined as BG levels >180 mg/dL once control was attained). HAC-8 rates were reduced from 0.083 per 1,000 patients (2008) to 0.032 per 1,000 patients (2011).
CONCLUSION: The use of eGMS resulted in rapid, effective control of inpatient BG levels, including significantly reduced hypoglycemia rates. ABBREVIATIONS: BG = blood glucose CMS = Centers for Medicare and Medicaid Services CV = coefficient of variation CV% = coefficient of variation percentage eGMS = electronic glucose management system GV = glycemic variability HAC = Hospital-Acquired Condition ICU = intensive care unit IU = intermediate unit IV = intravenous LOS = length of stay VMC = Vidant Medical Center.

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Year:  2016        PMID: 27967226     DOI: 10.4158/EP161402.OR

Source DB:  PubMed          Journal:  Endocr Pract        ISSN: 1530-891X            Impact factor:   3.443


  12 in total

Review 1.  Diabetes Technology in the Inpatient Setting for Management of Hyperglycemia.

Authors:  Georgia M Davis; Rodolfo J Galindo; Alexandra L Migdal; Guillermo E Umpierrez
Journal:  Endocrinol Metab Clin North Am       Date:  2020-03       Impact factor: 4.741

2.  Response to Letter Concerning Comparison Between Different Electronic Glucose Management Technologies.

Authors:  Pedro D Salinas; Carlos E Mendez
Journal:  J Diabetes Sci Technol       Date:  2019-05-13

Review 3.  Management of Type 1 Diabetes in the Hospital Setting.

Authors:  Carlos E Mendez; Guillermo E Umpierrez
Journal:  Curr Diab Rep       Date:  2017-09-14       Impact factor: 4.810

4.  Risk of Hypoglycemia During Insulin Infusion Directed by Paper Protocol Versus Electronic Glycemic Management System in Critically Ill Patients at a Large Academic Medical Center.

Authors:  Marina Rabinovich; Jessica Grahl; Emily Durr; Rita Gayed; Katleen Chester; Raymie McFarland; Barbara McLean
Journal:  J Diabetes Sci Technol       Date:  2017-12-17

5.  Glucose Management Technologies for the Critically Ill.

Authors:  Pedro D Salinas; Carlos E Mendez
Journal:  J Diabetes Sci Technol       Date:  2019-01-13

Review 6.  Subcutaneous Insulin Dosing Calculators for Inpatient Glucose Control.

Authors:  Jagdeesh Ullal; Joseph A Aloi
Journal:  Curr Diab Rep       Date:  2019-11-04       Impact factor: 4.810

Review 7.  Hypoglycemia Prevention by Algorithm Design During Intravenous Insulin Infusion.

Authors:  Susan Shapiro Braithwaite; Lisa P Clark; Thaer Idrees; Faisal Qureshi; Oluwakemi T Soetan
Journal:  Curr Diab Rep       Date:  2018-03-26       Impact factor: 4.810

8.  Insulin Infusion Computer Calculator Programmed Directly Into Electronic Health Record Medication Administration Record.

Authors:  Kristen Kulasa; Brittany Serences; Michael Nies; Robert El-Kareh; Kirk Kurashige; Kevin Box
Journal:  J Diabetes Sci Technol       Date:  2020-10-29

9.  Assessment of Glycemic Control Protocol (STAR) Through Compliance Analysis Amongst Malaysian ICU Patients.

Authors:  Athirah Abdul Razak; Asma Abu-Samah; Normy Norfiza Abdul Razak; Ummu Jamaludin; Fatanah Suhaimi; Azrina Ralib; Mohd Basri Mat Nor; Christopher Pretty; Jennifer Laura Knopp; James Geoffrey Chase
Journal:  Med Devices (Auckl)       Date:  2020-06-04

10.  Improving Hospital Glucometrics, Workflow, and Outcomes with a Computerized Intravenous Insulin Dose Calculator Built into the Electronic Health Record.

Authors:  Daniel Shelden; Mohammed Ateya; Angela Jensen; Patrick Arnold; Tiffany Bellomo; Roma Gianchandani
Journal:  J Diabetes Sci Technol       Date:  2020-12-23
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