Research Article
Application of Machine Learning Techniques for Clinical Predictive Modeling: A Cross-Sectional Study on Nonalcoholic Fatty Liver Disease in China
Table 1
Characteristics of study subjects according to presence of NAFLD.
| | Variables | NAFLD present
(n=2522) | NAFLD absent
(n=7986) | value | value |
| | Age (year) | 50.86 (12.75) | 47.00 (14.96) | 11.70 | < 0.001 | | Gender (male/female, n) | 1907/615 | 4971/3015 | 102.31 | < 0.001 | | Body mass index (kg/m2) | 26.02 (2.74) | 22.49 (2.73) | 56.61 | < 0.001 | | Glutamic-pyruvic transaminase (U/L) | 23.00(16.00-34.00) | 13.00(10.00-19.00) | 39.18 | < 0.001 | | Glutamic oxaloacetic transaminase (U/L) | 23.00(19.00-30.00) | 20.00(16.00-24.00) | 25.98 | < 0.001 | | Alkaline phosphatase (U/L) | 83.00(71.00-99.00) | 77.00(64.25-91.00) | 13.88 | < 0.001 | | γ-Glutamyltransferase (U/L) | 31.00(22.00-47.00) | 17.00(13.00-26.00) | 39.96 | < 0.001 | | Total bilirubin (μmol/L) | 12.90(10.20-16.40) | 12.20(9.60-16.10) | 5.74 | < 0.001 | | Direct bilirubin (μmol/L) | 4.10(3.50-5.10) | 3.90(3.20-4.80) | 9.7 | < 0.001 | | Indirect bilirubin (μmol/L) | 8.80(6.70-11.50) | 8.60(6.30-11.30) | 3.96 | 0.092 | | Total cholesterol (mmol/L) | 5.08(4.51-5.72) | 4.72(4.17-5.30) | 18.06 | < 0.001 | | Triglycerides (mmol/L) | 1.63(1.18-2.23) | 0.96(0.71-1.36) | 40.73 | < 0.001 | | HDL cholesterol (mmol/L) | 1.34(1.18-1.53) | 1.53(1.32-1.78) | 25.86 | < 0.001 | | LDL cholesterol (mmol/L) | 2.85(2.35-3.35) | 2.60(2.14-3.08) | 14.23 | < 0.001 | | Blood urea nitrogen (mmol/l) | 4.98(4.24-5.85) | 4.93(4.18-5.82) | 2.53 | 0.011 | | Creatinine (mmol/l) | 68.00(59.00-77.00) | 66.00(56.00-75.00) | 7.51 | 0.155 | | Fasting plasma glucose (mmol/L) | 5.11(4.75 – 5.65) | 4.88(4.57 – 5.24) | 18.40 | < 0.001 | | Serum uric acid (μmol/L) | 413(63.23) | 312.40(53.31) | 28.97 | < 0.001 |
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Data are expressed as the mean (SD) or median (IQR). value; value; HDL: high-density lipoprotein; LDL: low-density lipoprotein. |
