Clinical Focus ›› 2025, Vol. 40 ›› Issue (5): 417-422.doi: 10.3969/j.issn.1004-583X.2025.05.006

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Analysis of risk factors for liver fibrosis in metabolic dysfunction-associated fatty liver disease and construction of a nomogram

Zhao Xueting1, Bai Jiawen1, Sun Jun2()   

  1. 1. Graduate School, Jinzhou Medical University, Jinzhou 121000, China
    2. Department of Gastroenterology, Central Hospital of Jinzhou, Jinzhou 121000, China
  • Received:2024-12-16 Online:2025-05-20 Published:2025-05-23
  • Contact: Sun Jun E-mail:50681118@qq.com

Abstract:

Objective To explore the related risk factors for the occurrence of liver fibrosis in metabolic dysfunction-associated fatty liver disease (MAFLD), and to construct a nomogram to predict liver fibrosis. Methods Demographic data and blood biochemical indicators of MAFLD patients were retrospectively collected. Liver fibrosis was determined by the liver stiffness measure (LSM) detected via FibroScan. Logistic regression analysis was conducted to identify potential predictive indicators for liver fibrosis in MAFLD, and a nomogram was then created. The discrimination ability, consistency, and clinical applicability of the nomogram were assessed through C-index, calibration plots, and decision curves, respectively. Results A total of 282 MAFLD patients were included. Among them, 97 patients had liver fibrosis (LSM≥8 kPa), and 185 patients did not have liver fibrosis (LSM<8 kPa). Univariate analysis indicated that platelet count (PLT), platelet-to-white blood cell ratio (PWR), alkaline phosphatase (ALP), alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyl transpeptidase (GGT), serum uric acid (UA), and homocysteine (HCY) were influencing factors for liver fibrosis in MAFLD patients (P<0.05). The multivariate Logistic regression analysis revealed that the PWR (OR=0.921, 95%CI: 0.877-0.967, P<0.001) was a protective factor for liver fibrosis, HCY(OR=1.101, 95%CI: 1.032-1.175, P=0.003), AST(OR=1.021, 95%CI: 1.011-1.031, P<0.001), and UA(OR=1.032, 95%CI: 1.001-1.066, P=0.048) were independent risk factors for liver fibrosis in MAFLD patients. The nomogram constructed based on these factors had good discrimination (area under the curve [AUC]=0.835, 95%CI: 0.779-0.891), and the calibration curve indicated that the predicted probability of liver fibrosis was highly consistent with the observed probability. The clinical decision curve determined that the nomogram had a high net benefit within the threshold probability range. Conclusion The nomogram constructed based on PWR, HCY, AST and UA can well predict the risk of liver fibrosis in MAFLD patients, thereby enabling early identification and intervention. It has high clinical application value.

Key words: non-alcoholic fatty liver disease, metabolic dysfunction-associated fatty liver disease, liver fibrosis, nomogram, risk factors

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