Case Control Study
Copyright ©The Author(s) 2024.
World J Diabetes. Mar 15, 2024; 15(3): 418-428
Published online Mar 15, 2024. doi: 10.4239/wjd.v15.i3.418
Table 1 Clinical characteristics of all study subjects

Non-MAFLD group (n = 80)
MAFLD group (n = 80)
P valuea
Sex (female/male)37/4333/470.5241
Age (yr)55.35 ± 12.7754.70 ± 12.150.7452
WHR0.89 ± 0.090.92 ± 0.070.0392
BMI (kg/m2)22.06 (20.16, 24.64)24.41 (22.89, 27.61)< 0.0013
SBP (mmHg)131.00 (121.75, 147.25)136.00 (125.00, 150.00)0.1933
DBP (mmHg)83.50 (75.75, 94.00)87.00 (79.00, 92.00)0.2373
MAP (mmHg)100.00 (91.00, 112.25)104.00 (95.00, 111.00)0.1513
ALT (U/L)14.00 (10.00, 22.75)18.00 (12.00, 25.75)0.0143
AST (U/L)18.00 (15.75, 22.00)19.50 (15.00, 24.00)0.1813
TC (mmol/L)4.29 (3.55, 4.96)4.39 (3.61, 5.54)0.2223
TG (mmol/L)1.04 (0.62, 1.54)2.69 (1.39, 4.35)< 0.0013
HDL-C (mmol/L)1.31 (1.04, 1.60)1.17 (0.85, 1.41)0.0153
LDL-C (mmol/L)2.28 ± 0.992.51 ± 1.050.1442
TG/HDL-C0.84 (0.46, 1.33)2.73 (1.14, 4.24)< 0.0013
LDL-C/HDL-C1.71 (1.26, 2.29)2.06 (1.59, 2.92)0.0053
HbA1c (%)6.00 (5.44, 8.70)7.00 (6.13, 8.58)0.0183
FPG (mmol/L)6.58 (5.63, 8.68)6.67 (5.93, 9.28)0.3703
FINS (μU∕mL)7.01 (4.98, 9.72)10.00 (5.97, 13.66)0.0043
HOMA-β (%)50.10 (23.25, 87.63)55.29 (33.96, 94.46)0.1563
HOMA-IR2.08 (1.40, 3.34)2.99 (1.73, 5.50)0.0083
CRP (mg/L)1.57 (0.98, 2.21)1.74 (1.19, 2.90)0.0203
ANGPTL8 (pg/mL)23.95 (16.52, 34.20)44.93 (33.41, 58.01)< 0.0013
FIB-4 index1.18 (0.96, 1.46)1.39 (1.23, 1.76)< 0.0013
TyG index8.66 ± 0.719.56 ± 0.92< 0.0012
Table 2 Spearman correlation analysis of metabolic dysfunction-associated fatty liver disease and various indicators

r
P valuea
ANGPTL80.576< 0.001
TyG index0.473< 0.001
FIB-4 index0.318< 0.001
BMI0.394< 0.001
WHR0.1720.031
TG0.581< 0.001
HDL-C-0.1950.014
ALT0.1950.014
FINS0.2310.003
HbA1c0.1890.017
HOMA-IR0.2110.008
CRP0.1890.018
TG/HDL-C0.551< 0.001
LDL-C/HDL-C0.2260.004
Table 3 Multifactor logistic regression analysis of factors influencing metabolic dysfunction-associated fatty liver disease

B
S.E.
Wals
P valuea
EXP(B)
95%CI
ANGPTL80.1160.02719.118< 0.0011.1231.066-1.184
BMI0.2750.1116.1420.0131.3171.059-1.637
ALT0.0320.0212.3940.1221.0320.992-1.075
HDL-C-0.3860.8040.2310.6310.6800.141-3.287
FINS0.0850.0910.8750.3501.0880.911-1.300
HbA1c-0.2480.1761.9820.1590.7800.552-1.102
HOMA-IR-0.4260.2512.8690.0900.6530.399-1.069
CRP0.1600.0883.2850.0701.1730.987-1.395
WHR-3.7934.0660.8700.3510.0230.000-65.098
TG2.2550.52718.277< 0.0019.5323.391-26.800
Table 4 Spearman correlation of metabolic dysfunction-associated fatty liver disease complicated with liver fibrosis with serum angiopoietin-like protein 8, C-reactive protein, and triglyceride-glucose index

r
P valuea
ANGPTL80.489< 0.001
TyG index0.2940.008
CRP-0.2380.033
Table 5 Logistical analysis of metabolic dysfunction-associated fatty liver disease with liver fibrosis

B
S.E.
Wals
P valuea
EXP(B)
95%CI
ANGPTL80.0890.02314.513< 0.0011.0931.044-1.144
TyG index08680.3506.1460.0132.3831.199-4.736
CRP-0.5600.3023.4490.0630.5710.316-1.032
Table 6 Receiver operating characteristic curve analysis of the predictive value of angiopoietin-like protein 8, triglyceride-glucose index, and its combination with triglyceride-glucose index for metabolic dysfunction-associated fatty liver disease and liver fibrosis

AUC
95%CI
Cutoff
Sensitivity
Specificity
P valuea
Prediction of MAFLD
ANGPTL80.8320.771-0.89331.1880.0073.08< 0.001
TyG index0.7730.701-0.8459.15567.580.77< 0.001
ANGPTL8 + TyG index0.8860.846-0.9410.54675.585.9< 0.001
Prediction of MAFLD with liver fibrosis
ANGPTL80.8120.713-0.91044.3691.3061.36< 0.001
TyG index0.6880.553-0.8229.92560.8775.44< 0.001
ANGPTL8 + TyG index0.8350.735-0.9350.389773.9178.95< 0.001