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Letter to the editor regarding “The ZJU index is a powerful index for identifying NAFLD in the general Chinese population”

  • Chia-Po FuEmail author
Letter to the Editor

Dear editor,

I read with interest the study of Li et al. entitled “The ZJU index is a powerful index for identifying NAFLD in the general Chinese populations”. The authors showed promising AUROC than other currently used NAFLD indices. However, there is a critical mistake in the formula that authors used. In the article, the authors showed visceral adiposity index (VAI) = [WC/39.68 + (1.88 × BMI)] × (TG/1.03) × (1.31/HDL) for males and [WC/36.58 + (1.89 × BMI)] × (TG/0.81) × (1.52/HDL) for females.

However, VAI should be as follows:

VAI = [WC/(39.68 + (1.88 × BMI))] × (TG/1.03) × (1.31/HDL) for males and [WC/(36.58 + (1.89 × BMI))] × (TG/0.81) × (1.52/HDL) for females [1].

This should be clarified clearly; otherwise, it will make following readers wrong analyses which hampered the future science development. Technically, I have another question for the authors that developed the ZJU index [2]. How did they choose the name “ZJU index”? I try to help the readers like me to raise the question. Other NAFLD indices are based on abbreviation, such as fatty liver index (FLI) and hepatic steatosis index (HSI).

I hope the authors will be able to make correction of the formula of VAI.

Notes

References

  1. 1.
    Amato MC, Giordano C, Galia M et al (2010) Visceral adiposity index (VAI): a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 33:920–922CrossRefGoogle Scholar
  2. 2.
    Wang J, Xu C, Xun Y et al (2015) ZJU index: a novel model for predicting nonalcoholic fatty liver disease in a Chinese population. Sci Rep 5:16494CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia S.r.l., part of Springer Nature 2019

Authors and Affiliations

  1. 1.Division of Endocrinology and Metabolism, Department of MedicineTaichung Veterans General HospitalTaichungTaiwan
  2. 2.Department of MedicineChung Shan Medical UniversityTaichungTaiwan
  3. 3.Graduate Institute of Biomedical Electronics and Bioinformatics, College of Electrical Engineering and Computer ScienceNational Taiwan UniversityTaipeiTaiwan

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