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] |
→Multiple linear regression analyses were used to develop a prediction equation.
→CCC indicates concordance correlation coefficient.
→CI indicates confidence interval.