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ZJU index: a novel model for predicting nonalcoholic fatty liver disease in a Chinese population.

Wang J, Xu C, Xun Y, Lu Z, Shi J, Yu C, Li Y - Sci Rep (2015)

Bottom Line: A cross-sectional study with 9602 subjects was conducted.Potential predictors were entered into a stepwise logistic regression analysis to obtain the model.It was validated not only by a validation cohort but also by pathological data.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastroenterology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.

ABSTRACT
Non-alcoholic fatty liver disease (NAFLD) is an important health issue worldwide. We aimed to develop a simple model to determine the presence of NAFLD in a Chinese population. A cross-sectional study with 9602 subjects was conducted. Potential predictors were entered into a stepwise logistic regression analysis to obtain the model. We used 148 patients with liver biopsy to validate this model. The model, named the ZJU index, was developed based on body mass index (BMI), fasting plasma glucose (FPG), triglycerides (TG), and the serum alanine aminotransferase (ALT) to serum aspartate transaminase (AST) ratio. The area under the receiver operating characteristic curve (AUROC) of the ZJU index to detect NAFLD was 0.822. At a value of <32.0, the ZJU index could rule out NAFLD with a sensitivity of 92.2%, and at a value of >38.0, the ZJU index could detect NAFLD with a specificity of 93.4%. In patients with liver biopsy, the ZJU index could detect steatosis with good accuracy, with an AUROC of 0.896. This study revealed that the ZJU index is a helpful model to detect NAFLD for community physicians in China. It was validated not only by a validation cohort but also by pathological data.

No MeSH data available.


Related in: MedlinePlus

Receiver-operating characteristic (ROC) curve of FLI, HSI and ZJU index for detecting NAFLD.The area under the ROC curve of FLI, HSI, and ZJU index were 0.790 (95% CI: 0.778–0.803), 0.793 (95% CI: 0.781–0.806), and 0.822 (95% CI: 0.810–0.834), respectively. FLI: fatty liver index; HSI hepatic steatosis index.
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f2: Receiver-operating characteristic (ROC) curve of FLI, HSI and ZJU index for detecting NAFLD.The area under the ROC curve of FLI, HSI, and ZJU index were 0.790 (95% CI: 0.778–0.803), 0.793 (95% CI: 0.781–0.806), and 0.822 (95% CI: 0.810–0.834), respectively. FLI: fatty liver index; HSI hepatic steatosis index.

Mentions: We first validated FLI using the derivation cohort; median value of FLI was 36.9, and the AUROC of FLI for detecting NAFLD was 0.790 (95% CI: 0.778–0.803) (Fig. 2). A total of 2297 (47.9%) subjects were at a FLI value <30, with a sensitivity of 74.6% (95% CI, 72.9%–76.4%); 1086 (22.6%) subjects were at a FLI value of >60, with a specificity of 91.7% (95% CI, 90.6%–92.8%).


ZJU index: a novel model for predicting nonalcoholic fatty liver disease in a Chinese population.

Wang J, Xu C, Xun Y, Lu Z, Shi J, Yu C, Li Y - Sci Rep (2015)

Receiver-operating characteristic (ROC) curve of FLI, HSI and ZJU index for detecting NAFLD.The area under the ROC curve of FLI, HSI, and ZJU index were 0.790 (95% CI: 0.778–0.803), 0.793 (95% CI: 0.781–0.806), and 0.822 (95% CI: 0.810–0.834), respectively. FLI: fatty liver index; HSI hepatic steatosis index.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4645098&req=5

f2: Receiver-operating characteristic (ROC) curve of FLI, HSI and ZJU index for detecting NAFLD.The area under the ROC curve of FLI, HSI, and ZJU index were 0.790 (95% CI: 0.778–0.803), 0.793 (95% CI: 0.781–0.806), and 0.822 (95% CI: 0.810–0.834), respectively. FLI: fatty liver index; HSI hepatic steatosis index.
Mentions: We first validated FLI using the derivation cohort; median value of FLI was 36.9, and the AUROC of FLI for detecting NAFLD was 0.790 (95% CI: 0.778–0.803) (Fig. 2). A total of 2297 (47.9%) subjects were at a FLI value <30, with a sensitivity of 74.6% (95% CI, 72.9%–76.4%); 1086 (22.6%) subjects were at a FLI value of >60, with a specificity of 91.7% (95% CI, 90.6%–92.8%).

Bottom Line: A cross-sectional study with 9602 subjects was conducted.Potential predictors were entered into a stepwise logistic regression analysis to obtain the model.It was validated not only by a validation cohort but also by pathological data.

View Article: PubMed Central - PubMed

Affiliation: Department of Gastroenterology, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.

ABSTRACT
Non-alcoholic fatty liver disease (NAFLD) is an important health issue worldwide. We aimed to develop a simple model to determine the presence of NAFLD in a Chinese population. A cross-sectional study with 9602 subjects was conducted. Potential predictors were entered into a stepwise logistic regression analysis to obtain the model. We used 148 patients with liver biopsy to validate this model. The model, named the ZJU index, was developed based on body mass index (BMI), fasting plasma glucose (FPG), triglycerides (TG), and the serum alanine aminotransferase (ALT) to serum aspartate transaminase (AST) ratio. The area under the receiver operating characteristic curve (AUROC) of the ZJU index to detect NAFLD was 0.822. At a value of <32.0, the ZJU index could rule out NAFLD with a sensitivity of 92.2%, and at a value of >38.0, the ZJU index could detect NAFLD with a specificity of 93.4%. In patients with liver biopsy, the ZJU index could detect steatosis with good accuracy, with an AUROC of 0.896. This study revealed that the ZJU index is a helpful model to detect NAFLD for community physicians in China. It was validated not only by a validation cohort but also by pathological data.

No MeSH data available.


Related in: MedlinePlus