Association between triglyceride glucose-body mass index and non-alcoholic fatty liver disease in the non-obese Chinese population with normal blood lipid levels: a secondary analysis based on a prospective cohort study.
Association between triglyceride glucose-body mass index and non-alcoholic fatty liver disease in the non-obese Chinese population with normal blood lipid levels: a secondary analysis based on a prospective cohort study.
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DOI：
10.1186/s12944-020-01409-1
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发表时间：
2020-10-28
影响因子：
4.5
通讯作者：
Huang Z
中科院分区：
文献类型：
--
作者：
Li Y;Zheng R;Li J;Feng S;Wang L;Huang Z
甘油三酯葡萄糖-体重指数（TyG-BMI）和非酒精性脂肪肝（NAFLD）均与胰岛素抵抗（IR）有关。将TyG-BMI与NAFLD联系起来的前瞻性研究受到短期随访的限制。本研究探讨了中国非肥胖人群中TyG-BMI与NAFLD发生的纵向关系。本研究确定了基线时的TyG-BMI和随访时的NAFLD发生率，并对一项前瞻性队列研究进行了事后分析，该研究涉及评估2010年1月至2014年12月非肥胖中国居民的NAFLD风险。将5年随访期间的NAFLD发生率确定为终点。采用考克斯比例风险回归分析评估NAFLD发生率的风险比（HR）和95%置信区间（95% CI）。采用受试者工作特征（ROC）曲线分析TyG-BMI及其组分对NAFLD的预测能力。进行亚组分析是为了更好地了解可能影响TyG-BMI与NAFLD之间关联的其他因素，以识别潜在的特殊人群。在随访期间，9767例符合筛选标准的非肥胖受试者中有841例（8.61%）被诊断为NAFLD。在充分校正混杂因素后，TyG-BMI每增加一个标准差（SD），NAFLD的HR为3.09（95% CI 2.63 - 3.63）。此外，TyG-BMI对NAFLD的发生率具有很强的预测价值（ROC下面积= 0.85; 95%CI 0.84 - 0.86），特异性为0.73，灵敏度为0.82。此外，在男性人群中，TyG-BMI的每个SD增加与NAFLD风险增加相关（HR = 2.85，95% CI 2.30 - 3.53），但女性人群的风险更高（HR = 3.58，95% CI 2.80 - 4.60）。性别、TyG-BMI与NAFLD发病率交互作用显著（P <0.0001）。在中国人群的血脂正常和非肥胖亚组中，TyG-BMI增加与NAFLD发生率增加相关。TyG-BMI在识别NAFLD高危人群中可能具有临床意义。在线版本包含补充材料，可通过10.1186/s12944 - 020 - 01409 - 1获得。
Both triglyceride glucose-body mass index (TyG-BMI) and non-alcoholic fatty liver disease (NAFLD) are linked to insulin resistance (IR). Prospective studies linking TyG-BMI to NAFLD have been limited by short follow-up. This study investigated the longitudinal association between TyG-BMI and NAFLD occurrence in the non-obese Chinese individuals. This study determined TyG-BMI at baseline and the incidence of NAFLD at follow-up and performed a post hoc analysis of a prospective cohort study that involved assessing the risk of NAFLD in non-obese Chinese residents from January 2010 to December 2014. The incidence of NAFLD during the 5-year follow-up was identified as the endpoint. Cox proportional hazards regression analysis was used to evaluate hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the incidence of NAFLD. Receiver operating characteristic (ROC) curve analysis was conducted to estimate the predictive power of TyG-BMI and its components for NAFLD. Subgroup analysis was performed to better understand other factors that may affect the association between TyG-BMI and NAFLD to identify potential special populations. During the follow-up period, 841 (8.61%) of 9767 non-obese subjects who met the screening criteria were diagnosed with NAFLD. After confounding factors were fully adjusted for, the HR of NAFLD was 3.09 (95% CI 2.63–3.63) per standard deviation (SD) increase in TyG-BMI. Furthermore, TyG-BMI had a strong predictive value (area under ROC = 0.85; 95% CI 0.84–0.86) for the incidence of NAFLD, with a specificity of 0.73 and sensitivity of 0.82. Additionally, in the male population, each SD increase in TyG-BMI was linked to an increased risk of NAFLD (HR = 2.85, 95% CI 2.30–3.53), but the risk was higher in the female population (HR = 3.58, 95% CI 2.80–4.60). Gender and TyG-BMI interacted significantly with NAFLD incidence (P < 0.0001). In the normolipidaemic and non-obese subset of the Chinese population, an increase in TyG-BMI is related to an increased incidence of NAFLD. TyG-BMI may have clinical significance in identifying groups at high risk of NAFLD. The online version contains supplementary material available at 10.1186/s12944-020-01409-1.
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