Assessment of the clinical value of five noninvasive predictors of metabolic dysfunction-associated steatotic liver disease in Han Chinese adults.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-10-01 Epub Date: 2024-06-26 DOI:10.1097/MEG.0000000000002806
Xiaopu Ma, Haoxuan Zou, Junyi Zhan, Junzhu Gao, Yan Xie
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Abstract

Background: Fatty Liver Index (FLI), Triglyceride-Glucose Index (TyG), Lipid Accumulation Product (LAP), Zhejiang University Index (ZJU), and Visceral Adiposity Index (VAI) are five classical predictive models for fatty liver disease. Our cross-sectional study aimed to identify the optimal predictors by comparing the predictive value of five models for metabolic dysfunction-associated steatotic liver disease (MASLD) risk.

Methods: Data on 2687 participants were collected from West China Hospital of Sichuan University. Controlled attenuation parameters assessed by transient elastography were used to effectively diagnose MASLD. Logistic regression analysis was used to estimate the odd ratios and 95% confidence intervals between indices and MASLD risk. Receiver operating characteristic curves were plotted to evaluate the predictive value of indices.

Results: This study included 1337 normal and 1350 MASLD samples. The average age of MASLD patients is 47 years old, and the prevalence was higher in males (39.3%) than in females (10.9%). Five indices were positively correlated with MASLD risk, with the strongest correlation for TyG. Overall, the area under the curve of the indicators was: ZJU 0.988, FLI 0.987, LAP 0.982, TyG 0.942, and VAI 0.941. In the gender stratification, ZJU (0.989) performed best in males. FLI (0.988) and ZJU (0.987) had similar predictive ability in females. In the age stratification, FLI performed better in predicting the middle-aged group aged 30-40 years (0.991).

Conclusion: For Chinese Han adults, ZJU is the best predictive index for initial screening of MASLD. FLI can serve as an alternative tool for ZJU to predict females.

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评估汉族成人代谢功能障碍相关脂肪性肝病的五个无创预测指标的临床价值。
研究背景脂肪肝指数(FLI)、甘油三酯-葡萄糖指数(TyG)、脂质累积产物(LAP)、浙江大学指数(ZJU)和内脏脂肪指数(VAI)是脂肪肝的五个经典预测模型。我们的横断面研究旨在通过比较五个模型对代谢功能障碍相关性脂肪性肝病(MASLD)风险的预测价值,找出最佳预测因子:方法:从四川大学华西医院收集了2687名参与者的数据。通过瞬态弹性成像评估的受控衰减参数可有效诊断 MASLD。采用逻辑回归分析估算指标与MASLD风险之间的奇数比和95%置信区间。绘制了接收者操作特征曲线,以评估指标的预测价值:这项研究包括 1337 个正常样本和 1350 个 MASLD 样本。MASLD患者的平均年龄为47岁,男性发病率(39.3%)高于女性(10.9%)。有五项指标与 MASLD 风险呈正相关,其中 TyG 的相关性最强。总体而言,各项指标的曲线下面积分别为ZJU 0.988、FLI 0.987、LAP 0.982、TyG 0.942 和 VAI 0.941。在性别分层中,ZJU(0.989)在男性中表现最佳。FLI(0.988)和 ZJU(0.987)对女性的预测能力相似。在年龄分层中,FLI 对 30-40 岁中年人群的预测能力更强(0.991):结论:对于中国汉族成年人来说,ZJU是MASLD初筛的最佳预测指标。结论:对于中国汉族成年人而言,ZJU是初筛MASLD的最佳预测指标,FLI可作为ZJU的替代工具来预测女性。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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