Advanced lung cancer inflammation index: a key predictor of hepatic steatosis and fibrosis severity.

IF 2.5 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY BMC Gastroenterology Pub Date : 2025-02-24 DOI:10.1186/s12876-024-03544-w
Yajie Liu, Ruilin Wang
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Abstract

Background: The Advanced Lung Cancer Inflammation Index (ALI) reflects levels of systemic inflammation and nutrient metabolism in patients. However, The connection between ALI and hepatic steatosis and fibrosis remains unclear. This study aims to explore the potential association between ALI, the Controlled Attenuation Parameter (CAP), and Liver Stiffness Measurement (LSM), offering new perspectives for the prevention of hepatic steatosis and fibrosis.

Methods: Using data from the National Health and Nutrition Examination Survey database spanning from 2017 to 2020, a cross-sectional study of 6591 participants aged 20 years and older was performed to assess the relationship between ALI and hepatic steatosis and hepatic fibrosis. Smooth curve fitting and generalized additive models were used to further evaluate whether there was a nonlinear association between ALI, CAP, and LSM, and threshold effect analysis was used to find the inflection point. A two-part linear regression model was applied to estimate threshold effects. Subgroup analysis and interaction were used to evaluate the potential association between ALI, CAP, and LSM. Furthermore, to verify the efficacy of ALI, we used ROC curves to compare ALI with fibrosis and nutritional markers (FIB-4 index, GNRI) that have been reported to be associated with liver disease.

Results: The ALI levels in the MASLD and fibrosis 4 groups were considerably elevated than the control group, with statistical significance (PMASLD<0.001, PAHF =0.013). Multiple linear regression analyses indicated significant positive associations between ALI and its quartiles with both CAP[b(95%CI) ALI=0.510(0.465,0.555), P<0.001] and LSM levels [b(95%CI) ALI=0.011(0.009,0.013), P<0.001). There was a positive smooth curve fitting relationship between ALI and the levels of CAP and LSM, with threshold effect inflection points at 88.287 and 98.420 (PLog likelihood ratio<0.001), respectively. ALI interacts with CAP in relation to gender [OR(95%CI)female=0.095(0.039-0.150), OR(95%CI)male=0.174(0.118-0.230), Pfor interaction=0.044] and smoking [OR(95% CI)<100cigarettes in life=0.086(0.035-0.137), OR(95% CI)>100cigarettes in life=0.177(0.115-0.240), Pfor interaction=0.023], and with LSM in patients with HL [OR(95% CI)HL=0.014(0.008-0.019), Pfor interaction<0.001].

Conclusion: The findings suggest a positive correlation between elevated ALI levels and the levels of CAP and LSM. Maintaining ALI within an appropriate range may help mitigate the prevalence of hepatic steatosis and hepatic fibrosis.

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晚期肺癌炎症指数:肝脂肪变性和纤维化严重程度的关键预测因子。
背景:晚期肺癌炎症指数(ALI)反映了患者全身炎症和营养代谢水平。然而,ALI与肝脂肪变性和肝纤维化之间的关系尚不清楚。本研究旨在探讨ALI、控制衰减参数(CAP)和肝刚度测量(LSM)之间的潜在关联,为预防肝脂肪变性和肝纤维化提供新的视角。方法:利用2017年至2020年国家健康与营养调查数据库的数据,对6591名年龄在20岁及以上的参与者进行横断面研究,以评估ALI与肝脂肪变性和肝纤维化之间的关系。采用光滑曲线拟合和广义加性模型进一步评价ALI、CAP和LSM之间是否存在非线性关联,并采用阈值效应分析寻找拐点。采用两部分线性回归模型估计阈值效应。亚组分析和相互作用用于评估ALI、CAP和LSM之间的潜在关联。此外,为了验证ALI的疗效,我们使用ROC曲线将ALI与已报道与肝脏疾病相关的纤维化和营养指标(FIB-4指数,GNRI)进行比较。结果:与对照组相比,MASLD组和纤维化4组ALI水平明显升高,差异有统计学意义(PMASLDAHF =0.013)。多元线性回归分析显示,ALI及其四分位数与CAP[b(95%CI) ALI=0.510(0.465,0.555), PALI=0.011(0.009,0.013), plg似然比女性=0.095(0.039-0.150),OR(95%CI)男性=0.174(0.118-0.230),交互作用p =0.044]和吸烟[OR(95% CI)=0.086(0.035-0.137), OR(95%CI) 100支烟=0.177(0.115-0.240),交互作用p =0.023],以及HL患者LSM [OR(95% CI)HL=0.014(0.008-0.019)]呈正相关。结论:ALI水平升高与CAP和LSM水平呈正相关。将ALI维持在适当的范围内可能有助于减轻肝脂肪变性和肝纤维化的患病率。
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来源期刊
BMC Gastroenterology
BMC Gastroenterology 医学-胃肠肝病学
CiteScore
4.20
自引率
0.00%
发文量
465
审稿时长
6 months
期刊介绍: BMC Gastroenterology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of gastrointestinal and hepatobiliary disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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