Rf. Louie et al., Point-of-care glucose testing - Effects of critical care variables, influence of reference instruments, and a modular glucose meter design, ARCH PATH L, 124(2), 2000, pp. 257-266
Citations number
30
Categorie Soggetti
Research/Laboratory Medicine & Medical Tecnology","Medical Research Diagnosis & Treatment
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 modul
ar adaptation (Immediate Response Mobile Analysis-SureStepPro) were assesse
d clinically using arterial samples from critically ill patients. A biosens
or-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 less t
han or equal to 100 mg/dL and +/-15% for glucose levels >100 mg/dL were use
d 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 SureStepP
ro and 91% to 95% of Precision G measurements fell within the error toleran
ces. Paired differences of glucose measurements versus critical care variab
les (P-O2, pH, P-CO2, and hematocrit) were analyzed to determine the effect
s of these variables on meter measurements. P-O2 and P-CO2 decreased Precis
ion G and SureStepPro measurements, respectively, but not enough to be clin
ically significant based on the error tolerance criteria. Hematocrit levels
affected glucose measurements on both meter systems. Modular adaptation di
d not affect test strip performance.
Conclusions.-Glucose meter measurements correlated best with primary refere
nce instrument measurements. Overall, both glucose meter systems showed acc
eptable 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.