Zhejiang University index predicts metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients

The Zhejiang University (ZJU) index, which combines body mass index, fasting blood glucose, triglyceride level and alanine aminotransferase/aspartate aminotransferase ratio, can be used to predict metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with type 2 diabetes mellitus (T2DM). The ZJU index of 38.87 has been identified as the key threshold for diagnosing MASLD. The new model for predicting MASLD in T2DM based on ZJU index shows high diagnostic value. While the study is methodologically robust and offers a valuable clinical tool, it is limited by its cross-sectional design, inpatient cohort bias, unadjusted pharmacotherapy effects, and reliance on ultrasound for MASLD diagnosis. Future validation in outpatient settings, incorporating medication data and advanced fibrosis assessment, is crucial to translate this cost-effective biomarker into wide practice.

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Publication Details

Journal
World Journal of Diabetes
Published
2025-12-12
DOI
https://doi.org/10.4239/wjd.v16.i12.114565
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

Zhejiang University index predicts metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients

Gun Woo Kang, M T Yu, Man Zhang, Xiang-Nan Shen
World Journal of Diabetes
Liver Disease Diagnosis and Treatment
article

Zhejiang University index predicts metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients

Gun Woo Kang, M T Yu, Man Zhang, Xiang-Nan Shen
article en

Abstract

The Zhejiang University (ZJU) index, which combines body mass index, fasting blood glucose, triglyceride level and alanine aminotransferase/aspartate aminotransferase ratio, can be used to predict metabolic dysfunction-associated steatotic liver disease (MASLD) in patients with type 2 diabetes mellitus (T2DM). The ZJU index of 38.87 has been identified as the key threshold for diagnosing MASLD. The new model for predicting MASLD in T2DM based on ZJU index shows high diagnostic value. While the study is methodologically robust and offers a valuable clinical tool, it is limited by its cross-sectional design, inpatient cohort bias, unadjusted pharmacotherapy effects, and reliance on ultrasound for MASLD diagnosis. Future validation in outpatient settings, incorporating medication data and advanced fibrosis assessment, is crucial to translate this cost-effective biomarker into wide practice.

World Journal of DiabetesVol. 16(12)
Hebei University of Chinese Medicine (CN), First Teaching Hospital of Tianjin University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 48%
Liver Disease Diagnosis and Treatment
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Zhejiang University index predicts metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus patients — Gun Woo Kang, M T Yu, et al. · World Journal of Diabetes (2025) | TGRS Research Map | TGRS