Copyright
©The Author(s) 2022.
Artif Intell Gastroenterol. Oct 28, 2022; 3(4): 105-116
Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.105
Published online Oct 28, 2022. doi: 10.35712/aig.v3.i4.105
Male/Female | 16/13 |
Age (yr) | 56.4 ± 14.3 |
Body weight (kg) | 74.1 ± 13.1 |
BMI (kg/m2) | 28.4 ± 5.2 |
Metabolic diseases | |
Diabetes mellitus (Yes/No) | 10/19 |
Dyslipidemia (Yes/No) | 14/15 |
Concomitant drugs | |
SGLT2 inhibitor | 2 |
DPP-4 inhibitor | 3 |
Thiazolidinedione | |
GLP-1 agonist | 1 |
Statin | 7 |
Bezafibrate | |
Pemafibrate | |
EPA and DHA preparation | 1 |
AST (U/L) | 50.2 ± 33.4 |
ALT (U/L) | 53.8 ± 39.0 |
GGT (U/L) | 80.3 ± 84.3 |
T-B (mg/dL) | 1.3 ± 0.9 |
Alb (mg/dL) | 4.2 ± 0.6 |
eGFR (mL/min) | 71.1 ± 11.5 |
HbA1c (%) | 6.4 ± 0.8 |
T-cho (mg/dL) | 191.3 ± 35.0 |
TG (mg/dL) | 126.5 ± 57.8 |
WBC (103/μL) | 5.6 ± 1.5 |
Hb (g/dL) | 14.5 ± 1.7 |
Plts (104/μL) | 17.7 ± 7.4 |
- Citation: Kusano Y, Funada K, Yamaguchi M, Sugawara M, Tamano M. Dietary counseling based on artificial intelligence for patients with nonalcoholic fatty liver disease. Artif Intell Gastroenterol 2022; 3(4): 105-116
- URL: https://www.wjgnet.com/2644-3236/full/v3/i4/105.htm
- DOI: https://dx.doi.org/10.35712/aig.v3.i4.105