Pijls Kirsten E, Smolinska Agnieszka, Jonkers Daisy M A E, Dallinga Jan W, Masclee Ad A M, Koek Ger H, van Schooten Frederik-Jan
Division Gastroenterology-Hepatology, Department of Internal Medicine, School for Nutrition and Metabolism Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Department of Pharmacology and Toxicology, School for Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center, the Netherlands.
Sci Rep. 2016 Jan 29;6:19903. doi: 10.1038/srep19903.
Early diagnosis of liver cirrhosis may prevent progression and development of complications. Liver biopsy is the current standard, but is invasive and associated with morbidity. We aimed to identify exhaled volatiles within a heterogeneous group of chronic liver disease (CLD) patients that discriminates those with compensated cirrhosis (CIR) from those without cirrhosis, and compare this with serological markers. Breath samples were collected from 87 CLD and 34 CIR patients. Volatiles in exhaled air were measured by gas chromatography mass spectrometry. Discriminant Analysis was performed to identify the optimal panel of serological markers and VOCs for classifying our patients using a random training set of 27 CIR and 27 CLD patients. Two randomly selected independent internal validation sets and permutation test were used to validate the model. 5 serological markers were found to distinguish CIR and CLD patients with a sensitivity of 0.71 and specificity of 0.84. A set of 11 volatiles discriminated CIR from CLD patients with sensitivity of 0.83 and specificity of 0.87. Combining both did not further improve accuracy. A specific exhaled volatile profile can predict the presence of compensated cirrhosis among CLD patients with a higher accuracy than serological markers and can aid in reducing liver biopsies.
肝硬化的早期诊断可预防疾病进展及并发症的发生。肝活检是目前的标准诊断方法,但具有侵入性且会引发并发症。我们旨在识别慢性肝病(CLD)患者异质性群体呼出的挥发性物质,以区分代偿期肝硬化(CIR)患者和非肝硬化患者,并将其与血清学标志物进行比较。我们收集了87例CLD患者和34例CIR患者的呼吸样本。采用气相色谱 - 质谱联用技术测定呼出气体中的挥发性物质。利用27例CIR患者和27例CLD患者组成的随机训练集,进行判别分析以确定用于对患者进行分类的最佳血清学标志物和挥发性有机化合物(VOCs)组合。使用两个随机选择的独立内部验证集和置换检验对模型进行验证。发现5种血清学标志物可区分CIR和CLD患者,灵敏度为0.71,特异性为0.84。一组11种挥发性物质可区分CIR和CLD患者,灵敏度为0.83,特异性为0.87。两者结合并未进一步提高准确性。特定的呼出挥发性物质谱能够比血清学标志物更准确地预测CLD患者中代偿期肝硬化的存在,有助于减少肝活检。