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©The Author(s) 2022.
World J Gastroenterol. Nov 14, 2022; 28(42): 6045-6055
Published online Nov 14, 2022. doi: 10.3748/wjg.v28.i42.6045
Published online Nov 14, 2022. doi: 10.3748/wjg.v28.i42.6045
Table 1 Comparison of demographic and clinical characteristics of chronic liver disease patients in the training cohort and validation cohort
Validation cohort, n = 132 | Training cohort, n = 360 | P value | |
Gender (male/female, n) | 90/42 | 260/100 | 0.381 |
Age (yr) | 54.84 ± 27.70 | 48.71 ± 13.34 | 0.001 |
Etiology | 0.097 | ||
HBV | 111 | 278 | |
Others | 21 | 82 | |
HCC (n) | 42 | 63 | 0.001 |
HB (g/dL) | 14.28 ± 10.86 | 13.71 ± 2.16 | 0.346 |
PLT (× 109/L) | 174.96 ± 83.93 | 170.95 ± 74.69 | 0.610 |
PT (s) | 13.21 ± 1.66 | 12.84 ± 1.67 | 0.030 |
APTT (s) | 33.28 ± 7.73 | 32.54 ± 6.14 | 0.273 |
INR | 1.16 ± 0.16 | 1.09 ± 0.16 | 0.000 |
AST (U/L) | 72.14 ± 78.19 | 86.16 ± 135.81 | 0.264 |
ALT (U/L) | 106.35 ± 166.60 | 136.73 ± 247.37 | 0.192 |
ALB (g/L) | 38.03 ± 5.22 | 40.03 ± 5.08 | 0.000 |
TBIL (μmol/L) | 28.29 ± 31.05 | 19.94 ± 16.99 | 0.000 |
CHE (U/L) | 6163.11 ± 2647.19 | 6748.44 ± 2127.44 | 0.015 |
ALP (U/L) | 118.60 ± 95.93 | 179.64 ± 721.94 | 0.334 |
GGT (U/L) | 128.91 ± 201.79 | 116.89 ± 188.75 | 0.539 |
GLO (g/L) | 28.70 ± 4.81 | 29.02 ± 5.19 | 0.534 |
Cr (μmol/L) | 65.36 ± 23.23 | 65.68 ± 15.38 | 0.860 |
MELD | 8.14 ± 3.46 | 7.80 ± 2.56 | 0.241 |
ALBI | -2.36 ± 0.54 | -2.60 ± 0.48 | 0.000 |
PTAR | 0.31 ± 0.07 | 0.28 ± 0.07 | 0.000 |
ICGR15 (%) | 11.55 ± 11.82 | 8.16 ± 8.56 | 0.000 |
LSM (kPa) | 19.54 ± 18.28 | 16.34 ± 16.62 | 0.066 |
Table 2 Multivariate logistic stepwise regression analysis of indocyanine green retention rate at 15 min ≥ 10% in the training cohort
Variable | B | SE | Wald | P value | OR (95%CI) |
LSM (kPa) | 1.472 | 0.338 | 19.008 | < 0.001 | 4.357 (2.248-8.445) |
PTAR | 1.265 | 0.335 | 14.260 | < 0.001 | 3.544 (1.838-6.835) |
Age (yr) | 0.047 | 0.012 | 15.329 | < 0.001 | 1.048 (1.024-1.073) |
MELD | 0.291 | 0.078 | 13.844 | < 0.001 | 1.337 (1.147-1.558) |
Constant | -7.600 | 1.022 | 55.302 | < 0.001 | 0.007 |
Table 3 Multivariate logistic stepwise regression analysis of indocyanine green retention rate at 15 min ≥ 20% in the training cohort
Variable | B | SE | Wald | P value | OR (95%CI) |
LSM (kPa) | 1.138 | 0.520 | 4.778 | 0.029 | 3.120 (1.125-8.656) |
PTAR | 1.260 | 0.521 | 5.825 | 0.016 | 3.524 (1.267-9.801) |
Age (yr) | 0.058 | 0.017 | 11.226 | 0.001 | 1.059 (1.024-1.096) |
MELD | 0.320 | 0.094 | 11.652 | 0.001 | 1.377 (1.146-1.655) |
Constant | -9.750 | -1.454 | 44.963 | < 0.001 | 0.001 |
Table 4 Comparison of the predictive performance of the new constructed models (mLPaM and sLPaM) and other models in the assessment of impaired liver reserve function in the training cohort
AUC (95%CI) | Optimal cut-off | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) | |
mLPaM | 0.855 (0.809-0.901) | 0.135 | 91.3 | 66.4 | 36.09 | 97.35 | 70.68 |
MELD | 0.752 (0.688-0.817) | 7.662 | 80.0 | 61.4 | 31.25 | 93.33 | 54.75 |
ALBI | 0.776 (0.717-0.835) | -2.557 | 76.3 | 67.9 | 37.67 | 91.85 | 69.90 |
PTAR | 0.728 (0.664-0.791) | 0.150 | 73.8 | 71.8 | 42.11 | 90.79 | 72.24 |
LSM (kPa) | 0.733 (0.672-0.794) | 1.50 | 78.8 | 67.9 | 37.67 | 92.86 | 70.05 |
sLPaM | 0.872 (0.823-0.921) | 0.046 | 96.8 | 64.6 | 14.83 | 99.69 | 66.53 |
MELD | 0.786 (0.687-0.886) | 9.380 | 71.0 | 85.2 | 35.45 | 96.25 | 83.74 |
ALBI | 0.798 (0.706-0.890) | -2.220 | 64.5 | 87.4 | 39.81 | 95.01 | 84.78 |
PTAR | 0.731 (0.644-0.818) | 0.150 | 80.6 | 65.5 | 15.33 | 97.76 | 66.59 |
LSM (kPa) | 0.706 (0.618-0.795) | 1.50 | 80.6 | 60.6 | 12.79 | 97.76 | 61.94 |
Table 5 Comparison of the predictive performance of the new constructed models (mLPaM and sLPaM) and other models in the assessment of impaired liver reserve function in the prospective validation cohort
AUC (95%CI) | Optimal cut-off | Sensitivity (%) | Specificity (%) | PPV (%) | NPV (%) | Accuracy (%) | |
mLPaM | 0.869 (0.810-0.929) | 0.240 | 89.1 | 74.4 | 60.85 | 93.86 | 78.94 |
MELD | 0.729 (0.633-0.824) | 9.743 | 43.5 | 96.5 | 93.65 | 59.01 | 67.74 |
ALBI | 0.824 (0.749-0.900) | -2.315 | 78.3 | 76.7 | 63.78 | 87.09 | 77.25 |
PTAR | 0.672 (0.580-0.765) | 1.500 | 89.1 | 45.3 | 30.70 | 93.86 | 54.66 |
LSM (kPa) | 0.782 (0.702-0.862) | 1.500 | 91.3 | 65.1 | 49.93 | 95.15 | 72.33 |
sLPaM | 0.876 (0.812-0.940) | 0.073 | 92.9 | 68.3 | 49.94 | 95.15 | 72.33 |
MELD | 0.803 (0.701-0.904) | 9.187 | 64.3 | 85.6 | 61.54 | 87.00 | 79.98 |
ALBI | 0.836 (0.743-0.929) | -1.897 | 71.4 | 88.5 | 67.44 | 90.27 | 84.22 |
PTAR | 0.666 (0.566-0.767) | 1.500 | 92.9 | 59.6 | 28.43 | 97.98 | 64.50 |
LSM (kPa) | 0.743 (0.653-0.833) | 1.500 | 92.9 | 55.8 | 25.37 | 97.98 | 60.96 |
- Citation: Lai RM, Wang MM, Lin XY, Zheng Q, Chen J. Clinical value of predictive models based on liver stiffness measurement in predicting liver reserve function of compensated chronic liver disease. World J Gastroenterol 2022; 28(42): 6045-6055
- URL: https://www.wjgnet.com/1007-9327/full/v28/i42/6045.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i42.6045