Submitted to: Journal of Animal Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 1/25/1999
Publication Date: N/A
Citation: N/A Interpretive Summary: This study determined if a monitor for human self-monitoring of glucose in capillary blood could be used as a convenient means for near real-time monitoring of jugular blood in cattle. The Accu-Chek¿ Easy monitor from Boehringer Mannheim Corp., Indianapolis, IN was compared in this study to the laboratory analysis using the YSI Model 2700 SELECT Analyzer from Yellow Spring Instrument Co., Yellow Springs, OH. Good agreement between methods for determining hypoglycemic, euglycemic, and hyperglycemic blood glucose status was obtained. Although results obtained with the Accu-Chek Easy monitor were somewhat more variable than with the YSI Analyzer, it was concluded that the Accu-Chek Easy monitor could be used as a field monitor for blood glucose in cattle, providing a more convenient means for monitoring blood glucose remotely from a laboratory.
Technical Abstract: The purpose of this study was to determine the applicability of the Accu-Chek¿ Easy (ACE)human self-monitoring system for monitoring glycemic status in cattle. The ACE method was compared to the Yellow Springs Instrument (YSI) analytical laboratory method in two studies. A preliminary study (62 samples) and a primary study (434 samples) both involved a 10-fold range of glucose concentrations obtained during the acute phase response of growing beef cattle to injections of varying dosages of endotoxin. The ACE monitoring method compared to the YSI analytical method resulted in similar patterns of glucose concentration change, similar ranking of glucose means across endotoxin dosage levels during hyper- and hypoglycemia, a close relationship between paired YSI and ACE concentrations from common samples, and the identification of all nine animals that displayed hypoglycemic distress during the acute phase response to endotoxin injection. The relationship between the YSI analytical method and the ACE monitoring method was found to be nonlinear (YSI=-38.2+13.6*ACE.50; R2=.99; Sy.x=7.3 mg/dL) and the use of this equation to predict YSI values from ACE values in an independent data set resulted in linearity when YSI was regressed on the predicted YSI values (YSI=-.78+1.00*Predicted YSI; R2=.87; Sy.x=6.9 mg/dL). Although variation was greater for ACE than for YSI, it is concluded from this study that a system developed for human self-monitoring of blood glucose such as the ACE can be used to monitor the glycemic status of cattle.