Point-of-care glucose testing: Effects of critical care variables, influence of reference instruments, and a modular glucose meter design

Richard F. Louie, Zuping Tang, Demetria V. Sutton, H. Lee Judith, Gerald J Kost

Research output: Contribution to journalArticlepeer-review

162 Scopus citations


Objective.-To assess the clinical performance of glucose meter systems when used with critically ill patients. Design.-Two glucose meter systems (SureStepPro and Precision G) and a modular adaptation (Immediate Response Mobile Analysis-SureStepPro) were assessed clinically using arterial samples from critically ill patients. A biosensor-based analyzer (YSI 2700) and a hospital chemistry analyzer (Synchron CX-7) were the primary and secondary reference instruments, respectively. Patients and Setting.-Two hundred forty- seven critical care patients at the University of California, Davis, Medical Center participated in this study. Outcome Measures.-Error tolerances of ±15 mg/dL for glucose levels ≤100 mg/dL and ±15% for glucose levels >100 mg/dL were used to evaluate glucose meter performance; 95% of glucose meter measurements should fall within these tolerances. Results.-Compared to the primary reference method, 98% to 100% of SureStepPro and 91% to 95% of Precision G measurements fell within the error tolerances. Paired differences of glucose measurements versus critical care variables (PO2, pH, PCO2, and hematocrit) were analyzed to determine the effects of these variables on meter measurements. PO2 and PCO2 decreased Precision G and SureStepPro measurements, respectively, but not enough to be clinically significant based on the error tolerance criteria. Hematocrit levels affected glucose measurements on both meter systems. Modular adaptation did not affect test strip performance. Conclusions.-Glucose meter measurements correlated best with primary reference instrument measurements. Overall, both glucose meter systems showed acceptable performance for point-of-care testing. However, the effects of some critical care variables, especially low and high hematocrit values, could cause overestimated or underestimated glucose measurements.

Original languageEnglish (US)
Pages (from-to)257-266
Number of pages10
JournalArchives of Pathology and Laboratory Medicine
Issue number2
StatePublished - 2000

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Medical Laboratory Technology


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