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. 2024 Jun 12;14(12):1773. doi: 10.3390/ani14121773

Table 3.

Linear equations and their coefficients of determination based on the percentage change in analyte concentration and cell-free Hb concentration as independent variables.

Blood Parameters Regression Equation
(y-% Bias, x-Hb Conc.)
R2 CVa% HI Cut-off CVa% RCV HI Cut-off RCV
BHB y = 5.3201 x + 0.957 0.9913 6.15 0.96 26.5 4.81
NEFA y = 9.8218x + 2.5353 0.9972 6.42 0.39 35.1 3.31
GLU y = −2.9538x − 1.401 0.9794 2.55 0.38 12.9 3.90
ALB y = 1.0954x + 0.9147 0.9762 2.21 1.12 7.6 6.11
TPROT y = 1.0849x + 0.426 0.9893 2.08 1.40 7.8 6.80
UREA y = 0.8905x + 0.1979 0.9892 6.1 6.62 24.5 >10 (20.1)
TBIL y = −5.3246x − 1.6739 0.9861 5.82 0.75 31.75 5.65
AST y = 15.678x + 5.0673 0.9935 5.62 0.11 39.2 2.18
GGT y = −3.2805x + 0.3675 0.9874 5.25 1.71 28.9 8.90
LDH y = 21.27x + 16.265 0.9843 6.12 0.01 11.6 0.11
ALP y = −2.557x − 2.5083 0.9801 5.89 0.97 10.1 2.95
TGC y = 1.8558x + 0.4124 0.9936 3.29 1.56 23.6 >10 (15.5)
CHOL y = 2.3468x + 0.1215 0.9932 3.14 1.29 20.2 8.56
Ca y = 0.1944x + 0.0217 0.8343 1.13 5.68 10.8 >10 (25.7)
P y = 1.2163x + 0.4661 0.9919 1.15 0.57 10.7 8.43
Mg y = 0.9866x + 0.1498 0.9709 1.23 1.10 8.5 8.47
INS y = −5.5017x − 3.7803 0.9875 10.1 1.15 25.2 3.89
T3 y = −1.0701x − 0.4693 0.9816 9.22 8.19 16.8 >10 (15.6)
T4 y = −0.9452x − 0.8947 0.9797 9.31 8.91 17.5 >10 (18.5)
CORT y = −2.4264x − 2.5357 0.9434 9.28 2.78 27.1 >10 (11.22)