[多参数定量超声评估高风险脂肪性肝炎的临床价值]。

Q3 Medicine
X X Li, G W Cheng, X H Qiao, L Y Xue, C Huang, X J Huang, Q Y Yao, H Ding
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引用次数: 0

摘要

目的研究多参数定量超声结合无创预测模型对评估高风险脂肪性肝炎的临床价值。方法:对 194 例高风险脂肪性肝炎病例进行分析:选取 2021 年 6 月至 2022 年 9 月期间在复旦大学附属华山医院接受肝活检的代谢相关性脂肪肝(MAFLD)患者 194 例。所有患者在活检前均进行了剪切波弹性成像(SWE)、剪切波弥散成像(SWD)和衰减成像(ATI)检查。根据病理肝脂肪变性、炎症活动度和纤维化评分系统(SAF)以及纤维化分期≥F2,脂肪性肝炎、肝细胞气球化和肝小叶炎症患者的活动度总分≥4分即为高危脂肪性肝炎。二元逻辑回归分析用于确定影响高危脂肪性肝炎的因素。使用 R 语言构建了诊断高危脂肪性肝炎的预测模型。使用 DeLong 检验比较组间曲线下面积。组间测量数据的比较采用 t 检验或秩和检验,组间计数数据的比较采用 χ2 检验。结果高危脂肪性肝炎患者 46 例(23.7%)。定量超声参数包括弹性模量(OR=2.958,95%CI:1.889-4.883;POR=1.786,95%CI:1.424-2.292;POR=42.642,95%CI:3.463-640.451,P=0.004)。血清学指标空腹血糖(OR=1.196,95%CI:1.048-1.392,P=0.011)、丙氨酸氨基转移酶(OR=1.012,95%CI:1.006-1.019,POR=1.027,95%CI:1.OR=1.012,95%CI:1.006-1.019,POR=1.027,95%CI:1.014-1.042,POR=1.008,95%CI:1.001-1.017,P=0.041)和高密度脂蛋白胆固醇(OR=0.087,95%CI:0.016-0.404,P=0.003)是影响其进展的因素。弹性模量、弥散系数、衰减系数、多参数超声模型、血清学指标模型和超声结合血清学模型诊断高危脂肪性肝炎的AUC分别为0.764、0.758、0.634、0.786、0.773和0.825。DeLong 检验结果显示,超声结合血清学模型明显优于血清学指标模型和单独的弹性模量、弥散系数和衰减系数(P=0.024、0.027、0.038 和结论:多参数联合定量超声有助于高危脂肪性肝炎的无创诊断,具有重要的临床意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Clinical value of multiparameteric quantitative ultrasound for assessing high-risk steatohepatitis].

Objective: To investigate the clinical value of multiparameteric quantitative ultrasound combined with a non-invasive prediction model for assessing high-risk steatohepatitis. Methods: One hundred and ninety-four cases with metabolic-associated fatty liver disease (MAFLD) who underwent liver biopsy in Huashan Hospital, Fudan University, from June 2021 to September 2022 were selected. Shear wave elastography (SWE), shear wave dispersion (SWD) imaging, and attenuation imaging (ATI) examinations were conducted in all patients before biopsy. High-risk steatohepatitis was defined as a total activity score of ≥4 in patients with steatohepatitis, hepatocellular ballooning, and liver lobular inflammation based on pathological hepatic steatosis, inflammatory activity, and fibrosis scoring system (SAF), and fibrosis stage≥F2. Binary logistic regression analysis was used to identify the factors influencing high-risk steatohepatitis. A predictive model for diagnosing high-risk steatohepatitis was constructed using R language. The DeLong test was used to compare the area under the curve between groups. Measurement data was compared between groups using the t-test or rank-sum test, and count data were compared between groups using the χ2 test. Results: There were 46 cases (23.7%) with high-risk steatohepatitis. The quantitative ultrasound parameters included elastic modulus (OR=2.958, 95%CI: 1.889-4.883, P<0.001), dispersion coefficient (OR=1.786, 95%CI: 1.424-2.292, P<0.001) and attenuation coefficient (OR=42.642, 95%CI: 3.463-640.451, P=0.004). Serological indexes of fasting blood glucose (OR=1.196, 95%CI: 1.048-1.392, P=0.011), alanine aminotransferase (OR=1.012, 95%CI: 1.006-1.019, P<0.001), aspartate aminotransferase (OR=1.027, 95%CI: 1.014-1.042, P<0.001), γ-glutamyl transferase (OR=1.008, 95%CI: 1.001-1.017, P=0.041) and HDL cholesterol (OR=0.087, 95%CI: 0.016-0.404, P=0.003) were the factors influencing its progression. The AUCs of elastic modulus, dispersion coefficient, attenuation coefficient, multiparametric ultrasound model, serological index model, and ultrasound combined with serology model for the diagnosis of high-risk steatohepatitis were 0.764, 0.758, 0.634, 0.786, 0.773 and 0.825, respectively. The results of the DeLong test showed that the ultrasound combined with the serological model was significantly better than the serological index model and the elastic modulus, dispersion coefficient, and attenuation coefficient alone (P=0.024, 0.027, 0.038 and <0.001). Conclusion: The combination of multiparametric quantitative ultrasound is helpful for the non-invasive diagnosis of high-risk steatohepatitis and possesses great clinical significance.

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中华肝脏病杂志
中华肝脏病杂志 Medicine-Medicine (all)
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