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. 2012 May 18;11:55. doi: 10.1186/1475-2840-11-55

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.