Anemia Causes Hypoglycemia in Intensive Care Unit Patients Due to Error in Single-Channel Glucometers: Methods of Reducing Patient Risk

Abstract

Objective: Intensive insulin therapy in the critically ill reduces mortality but carries the risk of increased hypoglycemia. Point- of-care blood glucose analysis is standard; however, anemia causes falsely high values and potentially masks hypoglycemia. Permissive anemia is practiced routinely in most intensive care units. We hypothesized that point-of-care glucometer error due to anemia is prevalent, can be corrected mathematically, and cor- rection uncovers occult hypoglycemia during intensive insulin therapy. Design: The study has both retrospective and prospective phases. We reviewed data to verify the presence of systematic error, determine the source of error, and establish the prevalence of anemia. We confirmed our findings by reproducing the error in an in vitro model. Prospective data were used to develop a correction formula validated by the Monte Carlo method. Correc- tion was implemented in a burn intensive care unit and results were evaluated after 9 mos. Setting: Burn and trauma intensive care units at a single research institution. Patients/Subjects: Samples for in vitro studies were taken from healthy volunteers. Samples for formula development were from critically ill patients who received intensive insulin therapy. Interventions: Insulin doses were calculated based on predicted serum glucose values from corrected point-of-care glu- cometer measurements. Measurements and Main Results: Time-matched point-of-care glucose, laboratory glucose, and hematocrit values. We previously found that anemia (hematocrit less than 34%) produces systematic error in glucometer measurements. The error was correctible with a mathematical formula developed and validated, using prospectively collected data. Error of uncorrected point-of-care glucose ranged from 19% to 29% ( p less than .001), improving to less than 5% after mathematical correction of prospective data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA630201

Entities

People

  • Brian M. Cohee
  • Charles E Wade
  • Elizabeth A. Mann
  • Heather Pidcoke
  • John B Holcomb
  • Josè Salinas
  • Steven Wolf

Organizations

  • United States Army Institute of Surgical Research

Tags

DTIC Thesaurus Topics

  • Blood
  • Blood Transfusions
  • Blood Volume
  • Combat Casualty Care
  • Data Analysis
  • Data Science
  • Data Sets
  • Glucose Metabolism Disorders
  • Glucose Monitors
  • Health Services
  • Information Science
  • Intensive Care Units
  • Patient Care
  • Point-Of-Care Diagnostic Testing
  • Therapy
  • United States
  • United States Government

Fields of Study

  • Medicine

Readers

  • Approximation Theory.
  • Gulf War Illness and Chronic Multisymptom Illness in Veterans.
  • Trauma Surgery or Emergency Medicine.