Center of Hepato-Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, P.R. China.
Department of Pancreato-Biliary Surgery, The First Affiliated Hospital, Sun Yat-sen University, No.58 Zhongshan Er Road, Guangzhou, Guangdong Province, 510080, P.R. China.
Lipids Health Dis. 2024 Oct 25;23(1):345. doi: 10.1186/s12944-024-02319-2.
Obesity is a major contributing factor to the formation of gallstones. As early identification typically results in improved outcomes, we explored the relationship between visceral lipid accumulation indicators and the occurrence of gallstones.
This cross-sectional study involved 3,224 adults. The researchers employed multivariable logistic regression, smoothed curve fitting (SCF), threshold effects analysis, and subgroup analysis to examine the relationship between metabolic scores for visceral fat (METS-VF), waist circumference (WC), lipid accumulation products (LAP), and visceral adiposity index (VAI) and gallstones. A Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis was used to identify key factors which were then used in the construction of a nomogram model. The diagnostic efficacy of this model in detecting gallstones was then determined using receiver operating characteristic curves.
Visceral lipid accumulation indicators were strongly linked to the likelihood of having gallstones. Specific saturation effects for METS-VF, WC, LAP, and VAI and gallstones were determined using SCF. The inflection points for these effects were found to be 8.565, 108.400, 18.056, and 1.071, respectively. Subgroup analyses showed that associations remained consistent in most subgroups. The nomogram model, which was developed using critical features identified by LASSO regression, demonstrated excellent discriminatory ability, as indicated by an area under the curve value of 0.725.
Studies have shown that increases in METS-VF, WC, LAP, and VAI are linked to increased prevalences of gallstones. The nomogram model, designed with critical parameters identified using LASSO regression, exhibits a strong association with the presence of gallstones.
肥胖是导致胆结石形成的一个主要因素。由于早期识别通常会带来更好的结果,因此我们探讨了内脏脂肪堆积指标与胆结石发生之间的关系。
这是一项横断面研究,共纳入了 3224 名成年人。研究人员采用多变量逻辑回归、平滑曲线拟合(SCF)、阈值效应分析和亚组分析来研究代谢评分内脏脂肪(METS-VF)、腰围(WC)、脂肪堆积产物(LAP)和内脏脂肪指数(VAI)与胆结石之间的关系。使用最小绝对收缩和选择算子(LASSO)回归分析来识别关键因素,然后用于构建列线图模型。使用受试者工作特征曲线来确定该模型诊断胆结石的效能。
内脏脂肪堆积指标与胆结石的发生密切相关。SCF 确定了 METS-VF、WC、LAP 和 VAI 与胆结石之间存在特定的饱和度效应。这些效应的拐点分别为 8.565、108.400、18.056 和 1.071。亚组分析显示,在大多数亚组中,关联仍然一致。使用 LASSO 回归识别的关键特征构建的列线图模型显示出良好的区分能力,曲线下面积值为 0.725。
研究表明,METS-VF、WC、LAP 和 VAI 的增加与胆结石的患病率增加有关。使用 LASSO 回归识别的关键参数设计的列线图模型与胆结石的存在具有很强的关联。