What question did this study set out to answer?

Identify factors for chronic kidney disease in patients with metabolic dysfunction-associated fatty liver disease and develop a nomogram for risk diagnosis.

March 8, 2026BMC GastroenterologyOpen Access

Development of a liver stiffness measurement-based nomogram model to identify early CKD risk in patients with MAFLD

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Authors

DHDejin HuangHebei Medical University YLYue LuoTongji University QGQingchen GaoHebei Medical University

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Implication

Logistic regression identifies early chronic kidney disease in MAFLD patients, suggesting a nomogram model can improve risk assessment.

Key Points

Identify factors for chronic kidney disease in patients with metabolic dysfunction-associated fatty liver disease and develop a nomogram for risk diagnosis.
Collected clinical data from 3,154 patients with MAFLD.
Measured variables like liver stiffness using transient elastography and calculated BMI.
Employed logistic regression to identify independent factors for MAFLD-CKD.
Age, LSM, TC, and DM were identified as independent factors for CKD.
The diagnostic model achieved an AUC of 0.899 for early identification of MAFLD-CKD.
Sensitivity was 0.71, and specificity was 0.80 for the model.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/69acc5b032b0ef16a40505da https://doi.org/10.1186/s12876-026-04701-z

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Development of a liver stiffness measurement-based nomogram model to identify early CKD risk in patients with MAFLD

Discussion

Member takes

Implication

Key Points

Cite This Study

Development of a liver stiffness measurement-based nomogram model to identify early CKD risk in patients with MAFLD

Discussion

Member takes

Implication

Key Points

Cite This Study

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