6.
Saur N, Kongable G, Holewinski S, OBrien K, Nasraway Jr S
. Software-guided insulin dosing: tight glycemic control and decreased glycemic derangements in critically ill patients. Mayo Clin Proc. 2013; 88(9):920-9.
DOI: 10.1016/j.mayocp.2013.07.003.
View
7.
Atkin S, Dasmahapatra A, Jaker M, Chorost M, Reddy S
. Fingerstick glucose determination in shock. Ann Intern Med. 1991; 114(12):1020-4.
DOI: 10.7326/0003-4819-114-12-1020.
View
8.
Boyd J, Bruns D
. Effects of measurement frequency on analytical quality required for glucose measurements in intensive care units: assessments by simulation models. Clin Chem. 2014; 60(4):644-50.
DOI: 10.1373/clinchem.2013.216366.
View
9.
Sylvain H, Pokorny M, English S, Benson N, Whitley T, Ferenczy C
. Accuracy of fingerstick glucose values in shock patients. Am J Crit Care. 1995; 4(1):44-8.
View
10.
Juneja R, Roudebush C, Nasraway S, Golas A, Jacobi J, Carroll J
. Computerized intensive insulin dosing can mitigate hypoglycemia and achieve tight glycemic control when glucose measurement is performed frequently and on time. Crit Care. 2009; 13(5):R163.
PMC: 2784393.
DOI: 10.1186/cc8129.
View
11.
Shearer A, Boehmer M, Closs M, Dela Rosa R, Hamilton J, Horton K
. Comparison of glucose point-of-care values with laboratory values in critically ill patients. Am J Crit Care. 2009; 18(3):224-30.
DOI: 10.4037/ajcc2009448.
View
12.
Khan A, Vasquez Y, Gray J, Wians Jr F, Kroll M
. The variability of results between point-of-care testing glucose meters and the central laboratory analyzer. Arch Pathol Lab Med. 2006; 130(10):1527-32.
DOI: 10.5858/2006-130-1527-TVORBP.
View
13.
Dungan K, Chapman J, Braithwaite S, Buse J
. Glucose measurement: confounding issues in setting targets for inpatient management. Diabetes Care. 2007; 30(2):403-9.
DOI: 10.2337/dc06-1679.
View
14.
Petersen J, Graves D, Tacker D, Okorodudu A, Mohammad A, Cardenas Jr V
. Comparison of POCT and central laboratory blood glucose results using arterial, capillary, and venous samples from MICU patients on a tight glycemic protocol. Clin Chim Acta. 2008; 396(1-2):10-3.
DOI: 10.1016/j.cca.2008.06.010.
View
15.
Gijzen K, Moolenaar D, Weusten J, Pluim H, Demir A
. Is there a suitable point-of-care glucose meter for tight glycemic control? Evaluation of one home-use and four hospital-use meters in an intensive care unit. Clin Chem Lab Med. 2012; 50(11):1985-92.
DOI: 10.1515/cclm-2012-0104.
View
16.
Karon B, Griesmann L, Scott R, Bryant S, DuBois J, Shirey T
. Evaluation of the impact of hematocrit and other interference on the accuracy of hospital-based glucose meters. Diabetes Technol Ther. 2008; 10(2):111-20.
DOI: 10.1089/dia.2007.0257.
View
17.
Boyd R, Leigh B, Stuart P
. Capillary versus venous bedside blood glucose estimations. Emerg Med J. 2005; 22(3):177-9.
PMC: 1726696.
DOI: 10.1136/emj.2003.011619.
View
18.
Karon B, Boyd J, Klee G
. Empiric validation of simulation models for estimating glucose meter performance criteria for moderate levels of glycemic control. Diabetes Technol Ther. 2013; 15(12):996-1003.
DOI: 10.1089/dia.2013.0086.
View
19.
Pattan V, Parsaik A, Brown J, Kudva Y, Vlahakis N, Basu A
. Glucose control in Mayo Clinic intensive care units. J Diabetes Sci Technol. 2012; 5(6):1420-6.
PMC: 3262708.
DOI: 10.1177/193229681100500613.
View
20.
Desachy A, Vuagnat A, Ghazali A, Baudin O, Longuet O, Calvat S
. Accuracy of bedside glucometry in critically ill patients: influence of clinical characteristics and perfusion index. Mayo Clin Proc. 2008; 83(4):400-5.
DOI: 10.4065/83.4.400.
View