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. 2020 Mar 11;4(4):bvaa026. doi: 10.1210/jendso/bvaa026

Table 3.

Coefficients in the Final (WB-ISI) Linear Regression Model for Whole-Body Insulin Sensitivity (M-value) Prediction

Feature Coefficient Normalized Coefficient
Intercept 149 23.4
Age, years -0.0502 -0.66
BMI, kg/m2 -0.754 -4.52
Glucose, mmol/L -0.777 -1.09
Insulin, mU/L -0.154 -1.08
Free fatty acids, mmol/L -3.35 -0.79
Fraction of cholesterol esters of total lipids in medium HDL (%) 0.373 1.02
Alanine, mmol/L -16.6 -1.01
Acetoacetate, mmol/L -46.1 -1.93
LG10 Ratio of triglycerides to phosphoglycerides -16.7 -2.81
LG10 Ratio of saturated FAs to total FAs -53.2 -1.31
LG10 Glycine, mmol/L 23.2 1.91
LG10 Valine, mmol/L -6.48 -0.60
LG10 Acetate, mmol/L 6.23 0.61
Glycemic status (0 = NFG, 1 = IFG, 2 = T2DM) -2.85 -2.40

Estimate for M-value is calculated as a sum of the intercept and each subsequent row where the row values are obtained by multiplying value of the variable by the coefficient. Normalized coefficients describe how much variation in each variable contribute to the model. All metabolite and biochemical measurements were from fasting samples (glucose from plasma and others from serum).

Abbreviations: BMI, body mass index; FA, fatty acid; HDL, high-density lipoprotein.