Table 3.
Three multiple linear regression models to identify independent significant factors that explain liver stiffness
| Variable |
Model 1 |
Model 2 |
Model 3 |
||||||
|---|---|---|---|---|---|---|---|---|---|
| B | SE | P | B | SE | P | B | SE | P | |
| Age, year |
-.003 |
.004 |
.512 |
-.004 |
.004 |
.353 |
-.004 |
.004 |
.366 |
| Male gender |
-.193 |
.084 |
.024 |
-.194 |
.083 |
.020 |
-.124 |
.085 |
.147 |
| BMI, kg/m2 |
.032 |
.013 |
.013 |
.036 |
.012 |
.005 |
.026 |
.012 |
.041 |
| INR |
.972 |
.572 |
.092 |
.890 |
.564 |
.117 |
1.146 |
.573 |
.048 |
| Platelet, x109/L |
-.003 |
.001 |
.002 |
-.003 |
.001 |
.003 |
-.002 |
.001 |
.007 |
| METAVIR |
|
|
|
|
|
|
|
|
|
| F2 |
.089 |
.113 |
.430 |
.049 |
.113 |
.666 |
.123 |
.114 |
.284 |
| F3 |
.739 |
.154 |
<.001 |
.670 |
.155 |
<.001 |
.670 |
.161 |
<.001 |
| F4 |
.989 |
.168 |
<.001 |
.954 |
.165 |
<.001 |
.892 |
.171 |
<.001 |
|
ALT/ULN |
|
|
|
|
|
|
|
|
|
|
≧1<2x |
.307 |
.110 |
.006 |
|
|
|
|
|
|
|
≧2<3x |
.429 |
.122 |
.001 |
|
|
|
|
|
|
|
≧3 |
.523 |
.133 |
<.001 |
|
|
|
|
|
|
|
ActiTest A score |
|
|
|
.717 |
.163 |
<.001 |
|
|
|
|
METAVIR A |
|
|
|
|
|
|
|
|
|
|
A1 |
|
|
|
|
|
|
.189 |
.100 |
.061 |
|
A2-3 |
|
|
|
|
|
|
.551 |
.144 |
<.001 |
| R2 |
|
.661 |
|
|
.662 |
|
|
.651 |
|
| adjusted R2 | .629 | .636 | .620 | ||||||
Variable references: female gender, METAVIR F1, ALT/ULN <1x, METAVIR A0; ALT, serum alanine aminotransferase; B, coefficient; INR, international normalized ratio of prothrombin time; SE, standard error of coefficient; ULN, upper limit of normal.