Factors Associated with Nonalcoholic Fatty Liver Disease in a Non-Overweight/Obese and Overweight/Obese Chinese Population at Risk for Metabolic Syndrome: A Cross-Sectional Multicenter Study.

IF 1.3 4区 医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL Metabolic syndrome and related disorders Pub Date : 2024-09-23 DOI:10.1089/met.2024.0168
Yang Zheng, Yujing Sun, Wen Ren, Ruoshu Duan, Shuai Li, Mingmin Chen, Hongli Qin, Meike Ying, Jingjing Ren
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Abstract

Background: To investigate the association of demographic, clinical, and metabolic factors with nonalcoholic fatty liver disease (NAFLD) in a non-overweight/obese and overweight/obese Chinese population at risk for metabolic syndrome. Patients and Method: A cross-sectional multicenter study was conducted using convenience sampling from eight selected counties/cities in Zhejiang, China, between May 2021 and September 2022. Demographics, epidemiological, anthropometric, and clinical characteristics were obtained from a questionnaire. Least absolute shrinkage and selection operator (LASSO)-logistic regression analysis was used to identify the variables associated with NAFLD. Receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) were performed to evaluate the diagnostic value and clinical utility of the variables and models. Results: A total of 1739 patients were enrolled in the final analysis, 345 (19.8%) were non-overweight/obese and 1394 (80.2%) were overweight/obese participants. There were 114 (33.0%) and 1094 (78.5%) patients who met the criteria for NAFLD in the non-overweight/obese participants and the overweight/obese participants respectively. Older age, current smoking, higher triglyceride (TG) levels, higher AST levels, higher albumin levels, lower insulin levels, and higher controlled attenuation parameter (CAP) scores were associated with NAFLD in both non-overweight/obese and overweight/obese participants. The combination of TG+CAP scores had strong predictive values for NAFLD, especially in non-overweight/obese (Area Under Curve = 0.812, 95% confidence interval: 0.764-0.863). DCA showed a superior net benefit of the TG+CAP score over other variables or models, suggesting a better clinical utility in identifying NAFLD. Conclusions: More stringent lipid management strategies remain essential, and the convenience and efficacy of transient elastography for liver steatosis should be recognized, especially in the non-overweight/obese population.

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非超重/肥胖和超重/肥胖中国代谢综合征高危人群中与非酒精性脂肪肝相关的因素:一项横断面多中心研究。
研究背景在非超重/肥胖和超重/肥胖的中国代谢综合征高危人群中调查人口统计学、临床和代谢因素与非酒精性脂肪肝(NAFLD)的关系。患者和方法:2021 年 5 月至 2022 年 9 月期间,在中国浙江省选定的 8 个县/市采用便利抽样法进行了一项横断面多中心研究。通过问卷调查获得人口统计学、流行病学、人体测量学和临床特征。采用最小绝对收缩和选择算子(LASSO)-逻辑回归分析来确定与非酒精性脂肪肝相关的变量。为了评估变量和模型的诊断价值和临床实用性,还进行了接收者操作特征(ROC)曲线分析和决策曲线分析(DCA)。结果:共有 1739 名患者参与了最终分析,其中 345 人(19.8%)为非超重/肥胖患者,1394 人(80.2%)为超重/肥胖患者。在非超重/肥胖参与者和超重/肥胖参与者中,分别有 114 名(33.0%)和 1094 名(78.5%)患者符合非酒精性脂肪肝的标准。在非超重/肥胖和超重/肥胖参与者中,年龄较大、目前吸烟、甘油三酯(TG)水平较高、谷草转氨酶(AST)水平较高、白蛋白水平较高、胰岛素水平较低和控制衰减参数(CAP)评分较高与非酒精性脂肪肝相关。TG+CAP得分的组合对非酒精性脂肪肝有很强的预测价值,尤其是在非超重/肥胖者中(曲线下面积 = 0.812,95% 置信区间:0.764-0.863)。DCA显示,TG+CAP评分的净效益优于其他变量或模型,这表明TG+CAP评分在识别非酒精性脂肪肝方面具有更好的临床实用性。结论:更严格的血脂管理策略仍然至关重要,瞬态弹性成像技术在肝脏脂肪变性方面的便利性和有效性应得到认可,尤其是在非超重/肥胖人群中。
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来源期刊
Metabolic syndrome and related disorders
Metabolic syndrome and related disorders MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
3.40
自引率
0.00%
发文量
74
审稿时长
6-12 weeks
期刊介绍: Metabolic Syndrome and Related Disorders is the only peer-reviewed journal focusing solely on the pathophysiology, recognition, and treatment of this major health condition. The Journal meets the imperative for comprehensive research, data, and commentary on metabolic disorder as a suspected precursor to a wide range of diseases, including type 2 diabetes, cardiovascular disease, stroke, cancer, polycystic ovary syndrome, gout, and asthma. Metabolic Syndrome and Related Disorders coverage includes: -Insulin resistance- Central obesity- Glucose intolerance- Dyslipidemia with elevated triglycerides- Low HDL-cholesterol- Microalbuminuria- Predominance of small dense LDL-cholesterol particles- Hypertension- Endothelial dysfunction- Oxidative stress- Inflammation- Related disorders of polycystic ovarian syndrome, fatty liver disease (NASH), and gout
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