| Literature DB >> 35524655 |
Marenao Tanaka1, Masato Furuhashi1.
Abstract
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Mesh:
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Year: 2022 PMID: 35524655 PMCID: PMC9077733 DOI: 10.1111/jdi.13808
Source DB: PubMed Journal: J Diabetes Investig ISSN: 2040-1116 Impact factor: 3.681
| Multivariable logistic regression analysis for the risk of MAFLD
| OR (95% CI) |
| |
|---|---|---|
| FABP4 (per 1 μg/L) | 1.066 (1.020–1.091) | <0.001 |
| Adiponectin (per 1 mg/L) | 0.954 (0.916–0.993) | 0.013 |
| FGF21 (per 1 ng/L) | 1.001 (1.000–1.003) | 0.022 |
| Age (per 1 year) | 0.998 (0.980–1.015) | 0.778 |
| Sex (Men) | 0.435 (0.275–0.689) | <0.001 |
| Hypertension | 2.115 (1.362–3.284) | 0.001 |
| Diabetes mellitus | 1.075 (0.576–2.004) | 0.821 |
| Dyslipidemia | 1.928 (1.317–2.823) | 0.001 |
| Uric acid (per 1 mg/dL | 1.378 (1.150–1.649) | 0.001 |
| HOMA‐R (per 1) | 1.082 (1.020–1.147) | 0.009 |
| eGFR ((per 1 mL/min/1.73m2) | 1.024 (1.006–1.043) | 0.009 |
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59.48 μmol/L. AIC, Akaike's information criterion; CI, confidence Interval; eGFR, estimated glomerular filtration rate; FABP4, fatty acid‐binding protein 4; FGF21, fibroblast growth factor 21; HOMA‐R, homeostasis model assessment of insulin resistance; MAFLD, metabolic dysfunction‐associated fatty liver disease; OR, odds ratio.