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Influence of Ethnicity on the Accuracy of Non-Invasive Scores Predicting Non-Alcoholic Fatty Liver Disease. | LitMetric

AI Article Synopsis

  • Non-alcoholic fatty liver disease (NAFLD) is linked to higher risks of diabetes, cardiovascular issues, and advanced liver disease, prompting research to create a non-invasive risk score specifically for the Han Chinese population.
  • A study of 3,548 subjects utilized ultrasound to measure liver fat and developed a new predictive score, which was validated in both Chinese and Finnish populations, revealing ethnic differences in NAFLD detection.
  • Key predictors of NAFLD in Han Chinese included metabolic syndrome, type 2 diabetes, and body mass index (BMI), but results showed that Chinese individuals had a higher liver fat content for similar obesity levels compared to Finns, highlighting the importance of considering ethnicity in NAFLD risk assessment.

Article Abstract

Objectives: Presence of non-alcoholic fatty liver disease (NAFLD) can predict risks for diabetes, cardiovascular disease and advanced liver disease in the general population. We aimed to establish a non-invasive score for prediction of NAFLD in Han Chinese, the largest ethnic group in the world, and detect whether ethnicity influences the accuracy of such a score.

Methods: Liver fat content (LFAT) was measured by quantitative ultrasound in 3548 subjects in the Shanghai Changfeng Community and a Chinese score was created using multivariate logistic regression analyses. This new score was internally validated in Chinese and externally in Finns. Its diagnostic performance was compared to the NAFLD liver fat score, fatty liver index (FLI) and hepatic steatosis index (HSI) developed in Finns, Italians and Koreans. We also analyzed how obesity related to LFAT measured by 1H-MRS in 79 Finns and 118 Chinese with type 2 diabetes (T2D).

Results: The metabolic syndrome and T2D, fasting serum insulin, body mass index (BMI) and AST/ALT ratio were independent predictors of NAFLD in Chinese. The AUROC in the Chinese validation cohort was 0.76 (0.73-0.78) and in Finns 0.73 (0.68-0.78) (p<0.0001). 43%, 27%, 32% and 42% of Chinese had NAFLD when determined by the Chinese score, NAFLD liver fat score (p<0.001 vs. Chinese score), FLI (p<0.001) and HSI (NS). For any given BMI and waist circumference, the Chinese had a markedly higher LFAT than the Finns.

Conclusion: The predictors of NAFLD in Han Chinese are as in Europids but the Chinese have more LFAT for any given degree of obesity than Europids. Ethnicity needs to be considered when NAFLD is predicted using risk scores.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5007035PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160526PLOS

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