TITLE:
Instability of Glycemia before Centrifugation without Antiglycolytic and Correction Factors of Differed Glycemia Assays
AUTHORS:
Bianza Moise Bakadia, Tshilumbayi Falone Mutoba, Bakamona Lina Babidi, Kabengele Arlette Ndaya, Mulongo Pauline Kalenga, Kamona Charles Kimuni, Pembi Christian Kasongo, Lusenge Nono Ndete, Mutumukole Jeanluc Biampata, Ndibualonji Bualufubadibanga Victor
KEYWORDS:
Glycemia, Antiglycolytic, Correction Factor, Linear Regression Line
JOURNAL NAME:
Open Access Library Journal,
Vol.5 No.8,
August
16,
2018
ABSTRACT: Insert Glycolysis that occurs in vitro venous blood samples is known to induce a rapid drop in blood sugar. The use of an antiglycolytic is prob-lematic, sodium fluoride creates hemolysis and mono-iodoacetate is active two hours after sampling. However, many laboratories are uncentrifuged specimens from distant sampling sites with varying delivery times some-times several hours. The objective of this study is firstly to determine the influence of glycolysis on deferred blood glucose assays and secondly to develop correction factors of deferred assays blood glucose. The study was conducted on 30 volunteers supposed saints. Four tubes 7 ml have been collected by volunteer: Two tubes with lithium heparin (TH) and two tubes without anticoagulant (TS). For 30 consecutive days, a different volunteer was taken daily at the same time. A tube without anticoagulant and TH tube were immediately centrifuged to determine the glucose reference or blood glucose T0. The remaining two tubes, TH and TS were respectively divided into three aliquots into tubes eppendorf. At each time (t): 1 h , 2 h, 3 h, an aliquot of each tube TH and TS was centrifuged prior to the determination of blood glucose. The analysis results show a comparable decrease in blood glucose of about 10% per hour for both types of tubing. The regression Y = 1.08X 2.5 has been established between the values of glucose T0 and T1 values of blood glucose, Y is the value of blood glucose T0 and X is the value of the T1 glucose, the right regression Y = 1.21X 1.6 was found between blood glucose values T0 and blood glucose values T2, Y is the value of blood glucose T0 and X is the value of blood glucose T2. The regression Y = 1.32X 2.5 has been established between the values of glucose T0 and T3 values of blood glucose, Y is the value of blood glucose T0 and X is the value of the T3 glucose. The correlation coefficient r = 0.99 shows a positive correlation between X and Y, which is directly proportional. The established straight linear regression is likely to be used as a corrective factor by health professionals when blood glucose has not been measured directly after sampling or when separation of serum or plasma and blood elements is not immediate.