Literature DB >> 24430017

Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models.

James C Boyd1, David E Bruns.   

Abstract

BACKGROUND: Total error allowances have been proposed for glucose meters used in tight-glucose-control (TGC) protocols. It is unclear whether these proposed quality specifications are appropriate for continuous glucose monitoring (CGM).
METHODS: We performed Monte Carlo simulations of patients on TGC protocols. To simulate use of glucose meters, measurements were made hourly. To simulate CGM, glucose measurements were made every 5 min. Glucose was measured with defined bias (varied from -20% to 20%) and imprecision (0% to 20% CV). The measured glucose concentrations were used to alter insulin infusion rates according to established treatment protocols. Changes in true glucose were calculated hourly on the basis of the insulin infusion rate, the modeled patient's insulin sensitivity, and a model of glucose homeostasis. We modeled 18 000 patients, equally divided between the hourly and every-5-min measurement schemas and distributed among 45 combinations of bias and imprecision and 2 treatment protocols.
RESULTS: With both treatment protocols and both measurement frequencies, higher measurement imprecision increased the rates of hypoglycemia and hyperglycemia and increased glycemic variability (SD). These adverse effects of measurement imprecision were lower at the higher measurement frequency. The rate of hypoglycemia at an imprecision (CV) of 5% with hourly measurements was similar to the rate of hypoglycemia at 10% CV when measurements were made every 5 min. With measurements every 5 min, imprecision up to 10% had minimal effects on hyperglycemia or glycemic variability. Effects of simulated analytical bias on glycemia were unaffected by measurement frequency.
CONCLUSIONS: Quality specifications for imprecision of glucose meters are not transferable to CGM.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24430017     DOI: 10.1373/clinchem.2013.216366

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  14 in total

1.  Impact of Glucose Meter Error on Glycemic Variability and Time in Target Range During Glycemic Control After Cardiovascular Surgery.

Authors:  Brad S Karon; Jeffrey W Meeusen; Sandra C Bryant
Journal:  J Diabetes Sci Technol       Date:  2015-08-25

2.  Comparison of Accuracy Guidelines for Hospital Glucose Meters.

Authors:  Cynthia Foss Bowman; James H Nichols
Journal:  J Diabetes Sci Technol       Date:  2020-01-25

Review 3.  Toward a Framework for Outcome-Based Analytical Performance Specifications: A Methodology Review of Indirect Methods for Evaluating the Impact of Measurement Uncertainty on Clinical Outcomes.

Authors:  Alison F Smith; Bethany Shinkins; Peter S Hall; Claire T Hulme; Mike P Messenger
Journal:  Clin Chem       Date:  2019-08-23       Impact factor: 8.327

4.  The impact of measurement frequency on the domains of glycemic control in the critically ill--a Monte Carlo simulation.

Authors:  James S Krinsley; David E Bruns; James C Boyd
Journal:  J Diabetes Sci Technol       Date:  2015-01-06

Review 5.  Existing and Emerging Technologies for Point-of-Care Testing.

Authors:  Andrew St John; Christopher P Price
Journal:  Clin Biochem Rev       Date:  2014-08

6.  Accuracy of Capillary and Arterial Whole Blood Glucose Measurements Using a Glucose Meter in Patients under General Anesthesia in the Operating Room.

Authors:  Brad S Karon; Leslie J Donato; Chelsie M Larsen; Lindsay K Siebenaler; Amy E Wells; Christina M Wood-Wentz; Mary E Shirk-Marienau; Timothy B Curry
Journal:  Anesthesiology       Date:  2017-09       Impact factor: 7.892

7.  Fifteen-minute Frequency of Glucose Measurements and the Use of Threshold Alarms: Impact on Mitigating Dysglycemia in Critically Ill Patients.

Authors:  Grant V Bochicchio; Stanley A Nasraway; Laura J Moore; Anthony P Furnary; Eden A Nohra; Kelly M Bochicchio; James C Boyd; David I Bruns; Irl B Hirsch; Jean-Charles Preiser; James S Krinsley
Journal:  J Diabetes Sci Technol       Date:  2019-11-19

8.  Round Table Discussion on Inpatient Use of Continuous Glucose Monitoring at the International Hospital Diabetes Meeting.

Authors:  Amisha Wallia; Guillermo E Umpierrez; Stanley A Nasraway; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

9.  Inadequate Reporting of Analytical Characteristics of Biomarkers Used in Clinical Research: A Threat to Interpretation and Replication of Study Findings.

Authors:  Qian Sun; Kerry J Welsh; David E Bruns; David B Sacks; Zhen Zhao
Journal:  Clin Chem       Date:  2019-10-31       Impact factor: 8.327

10.  A comparison of two insulin infusion protocols in the medical intensive care unit by continuous glucose monitoring.

Authors:  Christophe E M De Block; Peter Rogiers; Philippe G Jorens; Tom Schepens; Cosimo Scuffi; Luc F Van Gaal
Journal:  Ann Intensive Care       Date:  2016-11-22       Impact factor: 6.925

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.