Observational Study
Copyright ©The Author(s) 2022.
World J Gastroenterol. Sep 28, 2022; 28(36): 5364-5379
Published online Sep 28, 2022. doi: 10.3748/wjg.v28.i36.5364
Table 1 Baseline characteristics of the study subjects
Variable
Non-MAFLD, n = 352
MAFLD, n = 512
Statistics1
P value
Demographics
Sex χ2 = 14.020< 0.001
Male230 (65.3)394 (77.0)
Female122 (34.7)118 (23.0)
Age in yr37.750 ± 10.73641.240 ± 10.852t = -4.634< 0.001
Age ≥ 40 yr115 (32.7)254 (49.6)χ2 = 24.461< 0.001
Age < 40 yr237 (67.3)258 (40.4)
Smoking history 81 (23.0)174 (34.0)χ2= 12.073< 0.001
Drinking history76 (21.6)145 (28.3)χ2= 4.9620.027
Anthropometrics
WC in cm86.240 ± 9.89396.790 ± 8.618t = -16.219< 0.001
BMI in kg/m224.436 ± 3.16928.028 ± 3.221t = -16.228< 0.001
SBP in mmHg125.880 ± 14.883133.610 ± 16.859t = -6.908< 0.001
DBP in mmHg77.500 ± 11.65882.950 ± 12.525t = -6.461< 0.001
Laboratory tests
ALT in U/L21.0 (15.0, 30.0)34.0 (24.0, 54.0)Z = -12.276< 0.001
AST in U/L19.0 (17.0, 23.0)23.0 (19.0, 29.0)Z = -9.058< 0.001
TC in mmol/L4.539 ± 0.8474.783 ± 0.902t = -4.104< 0.001
TG in mmol/L1.1 (0.7, 1.5)1.8 (1.3, 2.6)Z = -13.650< 0.001
HDL-C in mmol/L1.351 ± 0.2831.191 ± 0.256t = 8.321< 0.001
LDL-C in mmol/L2.645 ± 0.7082.906 ± 0.884t = -4.568< 0.001
FBG in mmol/L5.2 (4.9, 5.4)5.4 (5.1, 5.9)Z = -7.637< 0.001
SUA in μmol/L332.722 ± 86.289377.836 ± 85.859t = -7.590< 0.001
AIP-0.11 (-0.30, 0.08)0.20 (0.03, 0.39)Z = -14.006< 0.001
Table 2 Multivariate logistic regression of atherogenic index of plasma for the risk of metabolic-associated fatty liver disease
Variable
β
SE
Wald χ2
P value
OR (95%CI)
Model 1AIP level (per change in SD)3.9180.318151.599< 0.00150.286 (26.953-93.819)
Quartiles of AIP
A1 (≤ -0.1265)----1 (Ref)
A2 (-0.1265-0.0947)1.2410.20935.108< 0.0013.460 (2.295-5.217)
A3 (0.0947-0.3023)2.3230.226105.794< 0.00110.204 (6.554-15.885)
A4 (> 0.3022)2.8260.245132.611< 0.00116.882 (10.436-27.311)
Model 2AIP level (per change in SD)3.8890.32147.414< 0.00148.874 (26.087-91.569)
Quartiles of AIP
A1 (≤ -0.1265)----1 (Ref)
A2 (-0.1265-0.0947)0.8470.24112.347< 0.0013.218 (2.124-4.876)
A3 (0.0947-0.3023)1.6900.26042.107< 0.0019.774 (6.256-15.270)
A4 (> 0.3022)2.1030.28155.913< 0.00116.514 (10.176-26.799)
Model 3AIP level (per change in SD)2.7840.36259.147< 0.00116.184 (7.961-32.902)
Quartiles of AIP
A1 (≤ -0.1265)----1 (Ref)
A2 (-0.1265-0.0947)0.8470.24112.347< 0.0012.334 (1.455-3.744)
A3 (0.0947-0.3023)1.6900.26042.107< 0.0015.421 (3.253-9.032)
A4 (> 0.3022)2.1030.28155.913< 0.0018.194 (4.721-14.22)
Model 4AIP level (per change in SD)2.5190.37146.230< 0.00112.420 (6.008-25.675)
Quartiles of AIP
A1 (≤ -0.1265)----1 (Ref)
A2 (-0.1265-0.0947)0.8280.24911.0880.0012.288 (1.4063-725)
A3 (0.0947-0.3023)1.6420.26837.636< 0.0015.167 (3.058-8.732)
A4 (> 0.3022)1.9690.28946.343< 0.0017.160 (4.062-12.62)
Table 3 Results analysis of the receiver operating characteristic curves
Variable
AUC (95%CI)
P value
Sensitivity (%)
Specificity (%)
Youden index
Cutoff value
Total
AIP0.780 (0.751-0.807)< 0.000175.2069.890.45080.0340
WC in cm0.790 (0.761-0.817)< 0.000185.9458.520.444688.00
BMI in kg/m20.788 (0.759-0.814)< 0.000183.2059.090.422925.10
A-W-B0.833 (0.807-0.858)1,2,3< 0.000186.1368.470.54600.5019
Male
AIP0.755 (0.719-0.788)< 0.000175.8964.780.40670.0821
WC in cm0.770 (0.735-0.803)< 0.000172.5967.390.399892.50
BMI in kg/m20.773 (0.738-0.805)< 0.000172.3468.700.410326.32
A-W-B0.814 (0.781-0.843)1,2,3< 0.000182.9965.650.48650.5932
Female
AIP0.819 (0.764-0.865)< 0.000182.270.490.5270-0.1390
WC in cm0.820 (0.765-0.866)< 0.000181.3669.670.510385.50
BMI in kg/m20.804 (0.748-0.852)< 0.000188.9858.200.471823.34
A-W-B0.874 (0.826-0.914)1,2,3< 0.000178.8183.610.62420.4105
Age ≥ 40 yr
AIP0.726 (0.678-0.771)< 0.000171.2666.960.38220.0367
WC in cm0.736 (0.688-0.780)< 0.000182.6852.170.348588.00
BMI in kg/m20.736 (0.688-0.780)< 0.000171.2666.960.382226.03
A-W-B0.787 (0.742-0.828)1,2,3< 0.000177.5669.570.47120.5574
Age < 40 yr
AIP0.816 (0.779-0.849)< 0.000173.6477.220.50860.0814
WC in cm0.824 (0.787-0.856)< 0.000189.1561.600.507588.00
BMI in kg/m20.820 (0.783-0.853)< 0.000183.7266.240.499725.31
A-W-B0.863 (0.830-0.892)1,2,3< 0.000189.9271.730.61650.4947
BMI ≥ 28 kg/m2
AIP0.579 (0.519-0.638)0.084925.6390.910.16540.4140
WC in cm0.597 (0.688-0.780)0.030336.9779.550.1652104.50
BMI in kg/m20.648 (0.589-0.704)0.000565.1368.180.333129.38
A-W-B0.644 (0.585-0.700)10.000743.2884.090.27370.9009
BMI < 28 kg/m2
AIP0.783 (0.747-0.816)3< 0.000169.7176.300.46010.0340
WC in cm0.754 (0.717-0.789)< 0.000178.163.310.414187.50
BMI in kg/m20.733 (0.695-0.768)< 0.000177.3759.420.367924.56
A-W-B0.822 (0.789-0.852)1,2,3< 0.000180.6672.080.52730.4531
Table 4 Establishment of the logistic regression prediction model A-W-B combined with the atherogenic index of plasma, waist circumference, and body mass index
Variable
β
SE
Wald χ2
P value
OR (95%CI)
AIP2.5600.34555.017< 0.00112.939 (6.578-25.45)
WC0.0490.0177.9510.0051.050 (1.015-1.087)
BMI0.1700.05111.0870.0011.186 (1.073-10311)
Constant-8.7821.00376.689
Table 5 Spearman’s correlation analysis results between various indicators (r value)
Variable
AIP
WC
BMI
A-W-B
SBP in mmHg0.299b0.358b0.362b0.392b
DBP in mmHg0.327b0.325b0.315b0.375b
ALT in U/L0.470b0.455b0.451b0.530b
AST in U/L0.306b0.307b0.304b0.351b
TC in mmol/L0.193b0.070a0.0560.132b
TG in mmol/L0.954b0.455b0.430b0.763b
HDL-C in mmol/L-0.617b-0.365b-0.373b-0.543b
LDL-C in mmol/L0.253b0.128b0.105b0.190b
FBG in mmol/L0.294b0.280b0.274b0.334b
SUA in μmol/L0.462b0.375b0.358b0.469b
Table 6 Data comparison between training set and validation set
Variable
Training set, n = 864
Validation set, n = 131
P value
Sex, female240 (27.8)38 (29.0)0.770
Age in yr 39.820 ± 10.93439.660 ± 10.8610.885
Smoking history255 (29.5)38 (29.0)0.906
Drinking history221 (25.6)24 (18.3)0.072
WC in cm92.490 ± 10.52293.690 ± 10.7590.057
BMI in kg/m226.563 ± 3.65327.055 ± 3.7720.155
SBP in mmHg130.460 ± 16.517129.090 ± 16.8220.386
DBP in mmHg80.730 ± 12.46478.560 ± 12.1920.063
ALT in U/L28.0 (19.0, 42.0)28.0 (19.0, 43.0)0.837
AST in U/L21.0 (18.0, 26.0)22.0 (18.0, 26.0)0.612
TC in mmol/L4.683 ± 0.8884.607 ± 0.8650.349
TG in mmol/L1.5 (1.0, 2.2)1.6 (1.0, 2.5)0.307
HDL-C in mmol/L1.256 ± 0.2791.241 ± 0.2930.533
LDL-C in mmol/L2.800 ± 0.8262.763 ± 0.7690.651
FBG in mmol/L5.3 (5.0, 5.7)5.2 (4.9, 5.8)0.326
SUA in μmol/L359.434 ± 88.800342.901 ± 88.4480.052
AIP0.09 (-0.13, 0.30)0.12 (-0.13, 0.33)0.306