囊性纤维化儿童的肝脏超声模式与肝脏疾病的无创检查相关

S. Ling, Wen Ye, D. Leung, O. Navarro, A. Weymann, W. Karnsakul, A. J. Freeman, J. Magee, M. Narkewicz
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引用次数: 16

摘要

目的:早期识别有严重肝脏疾病(CFLD)风险的囊性纤维化(CF)患儿,将有助于开展针对性的预防性治疗研究。CFLD没有金标准测试。超声检查(US)用于识别CFLD,但其诊断准确性值得关注。我们的目的是确定标准血液检查、影像学变量和非侵入性肝纤维化指数的差异是否与肝脏US模式相关,从而为异质US模式反映临床相关肝病提供支持性证据。方法:我们研究了244名年龄3-12岁的胰腺功能不全CF儿童的基线研究腹部US和血液检查,这些儿童参加了一项US预测CF肝硬化能力的前瞻性研究(PUSH研究)。在设计中,异质肝型US患儿(HTG, n = 62)与正常US患儿(NL, n = 122) 1:2匹配。分析包括结节性(NOD, n = 22)和均匀性高回声(HMG, n = 38)肝患儿。结果单因素分析显示,美国两组在标准血液检查、脾脏大小和非侵入性肝纤维化指标方面存在显著差异。多变量模型区分NOD和NL的准确率很高(AUROC为0.96)。模型还可以区分HTG与NL (AUROC为0.76)、NOD与HTG(0.78)以及HMG与NL(0.79)。结论CF患儿肝脏US型与血小板计数、脾脏大小及肝纤维化指标相关。这些生物标志物的多变量模型对NL和NOD有很好的区分能力,对其他US模式也有很好的区分能力,提示US模式与临床相关肝脏疾病相关。
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Liver Ultrasound Patterns in Children with Cystic Fibrosis Correlate with Non-Invasive Tests of Liver Disease.
OBJECTIVES Early identification of children with cystic fibrosis (CF) at risk for severe liver disease (CFLD) would enable targeted study of preventative therapies. There is no gold standard test for CFLD. Ultrasonography (US) is used to identify CFLD, but with concerns for its diagnostic accuracy. We aim to determine if differences in standard blood tests, imaging variables and non-invasive liver fibrosis indices correlate with liver US patterns and thus provide supportive evidence that a heterogeneous US liver pattern reflects clinically relevant liver disease. METHODS We studied baseline research abdominal US and bloodwork from 244 children with pancreatic insufficient CF, ages 3-12y, enrolled in a prospective study of the ability of US to predict CF cirrhosis (PUSH study). Children with a heterogeneous liver pattern on US (HTG, n = 62) were matched 1:2 in design with children with normal US (NL, n = 122). Analyses included children with nodular (NOD, n = 22) and homogeneous hyperechoic (HMG, n = 38) livers. RESULTS Univariate analysis showed significant differences between US groups for standard blood tests, spleen size, and non-invasive liver fibrosis indices. Multivariable models discriminated NOD vs. NL with excellent accuracy (AUROC 0.96). Models also distinguish HTG vs. NL (AUROC 0.76), NOD vs. HTG (0.78), and HMG vs NL (0.79). CONCLUSION Liver US patterns in children with CF correlate with platelet count, spleen size and indices of liver fibrosis. Multivariable models of these biomarkers have excellent discriminating ability for NL vs NOD, and good ability to distinguish other US patterns, suggesting that US patterns correlate with clinically relevant liver disease.
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