The NAFLD Index: A Simple and Accurate Screening Tool for the Prediction of Non-Alcoholic Fatty Liver Disease

Naohiro Ichino, Keisuke Osakabe, Keiko Sugimoto, Koji Suzuki, Hiroya Yamada, Hiroji Takai, Hiroko Sugiyama, Jun Yukitake, Takashi Inoue, Koji Ohashi, Tadayoshi Hata, Nobuyuki Hamajima, Toru Nishikawa, Senju Hashimoto, Naoto Kawabe, Kentaro Yoshioka

研究成果: Article

5 被引用数 (Scopus)

抄録

OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) is a common debilitating condition in many industrialized countries that increases the risk of cardiovascular disease. The aim of this study was to derive a simple and accurate screening tool for the prediction of NAFLD in the Japanese population.

METHODS: A total of 945 participants, 279 men and 666 women living in Hokkaido, Japan, were enrolled among residents who attended a health check-up program from 2010 to 2014. Participants with an alcohol consumption > 20 g/day and/or a chronic liver disease, such as chronic hepatitis B, chronic hepatitis C or autoimmune hepatitis, were excluded from this study. Clinical and laboratory data were examined to identify predictive markers of NAFLD.

RESULTS: A new predictive index for NAFLD, the NAFLD index, was constructed for men and for women. The NAFLD index for men = -15.5693+0.3264 [BMI] +0.0134 [triglycerides (mg/dl)], and for women = -31.4686+0.3683 [BMI] +2.5699 [albumin (g/dl)] +4.6740[ALT/AST] -0.0379 [HDL cholesterol (mg/dl)]. The AUROC of the NAFLD index for men and for women was 0.87(95% CI 0.88-1.60) and 0.90 (95% CI 0.66-1.02), respectively. The cut-off point of -5.28 for men predicted NAFLD with an accuracy of 82.8%. For women, the cut-off point of -7.65 predicted NAFLD with an accuracy of 87.7%.

CONCLUSION: A new index for the non-invasive prediction of NAFLD, the NAFLD index, was constructed using available clinical and laboratory data. This index is a simple screening tool to predict the presence of NAFLD.

本文言語English
ページ(範囲)32-43
ページ数12
ジャーナルRinsho byori. The Japanese journal of clinical pathology
63
1
出版ステータスPublished - 01-01-2015

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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