# Table 2 Models for predicting apoB100 concentration

Prediction equation P-value R-square CCC[95% CI]
1. LDLc ApoB100 = 16.177816 + 0.735235*LDLc <.0001 81.1% 0.90 [0.890-0.898]
2. LDLc, age ApoB100 = −24.77 + 0.72*LDLc + 11.43*ln(age) <.0001 81.9% 0.90 [0.899-0.903]
3. LDLc, BMI ApoB100 = −49.13 + 0.70*LDLc + 21.81*ln(BMI) <.0001 82.4% 0.90 [0.902-0.905]
4. LDLc, BMI, age ApoB100 = −78.91 + 0.696*LDLc + 9.81*ln(나이) + 19.98*ln(BMI) <.0001 83.0% 0.91 [0.905-0.909]
5. LDLc, TG ApoB100 = −33.12 + 0.675*LDLc + 11.95*ln(tg) <.0001 88.0% 0.94 [0.935-0.937]
6. LDLc, TG, age ApoB100 = −59.40 + 0.67*LDLc + 11.63*ln(tg) + 7.68*ln(age) <.0001 88.3% 0.94 [0.937-0.939]
7. LDLc, TG, BMI ApoB100 = −35.99 + 0.67*LDLc + 11.84*ln(tg) + 1.11*ln(BMI) <.0001 88.0% 0.94 [0.935-0.937]
8. LDLc, TG, age, BMI ApoB100 = −59.53 + 0.67*LDLc + 11.62*ln(tg) + 7.68*ln(age) + 0.05*ln(BMI) <.0001 88.3% 0.94 [0.937-0.940]
1. →Multiple linear regression analyses were used to develop a prediction equation.
2. →CCC indicates concordance correlation coefficient.
3. →CI indicates confidence interval.