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The mid-infrared spectroscopy: A novel non-invasive diagnostic tool for NASH diagnosis in severe obesity

机译:中红外光谱:一种新型无侵入性诊断工具,用于严重肥胖症中的纳什诊断

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摘要

Background & Aims: There is an urgent medical need to develop non-invasive tests for non-alcoholic steatohepatitis (NASH). This study evaluates the diagnostic performance of an innovative model based on mid-infrared (MIR) spectroscopy for the diagnosis of NASH. Methods: Severely obese patients who underwent a bariatric procedure at the University Hospital of Nice, France (n = 395) were prospectively recruited. The clinico-biological characteristics were measured prior to surgery. Liver biopsies were collected during the surgical procedure and assessed by a pathologist. A training group (316 patients, NASH: 16.8%) and a validation group (79 patients, NASH: 16.5%) were randomly defined. MIR spectra were acquired by fiber evanescent wave spectroscopy, using chalcogenide glass fiber optic sensors and a spectrometer. This absorption spectroscopic technique delivers a spectrum that identifies the molecular composition of a sample, defining a patient's metabolic fingerprint. Results: The areas under the receiver operating curve (AUROC) for the diagnosis of NASH were 0.82 and 0.77 in the training and validation groups, respectively. The best threshold was 0.15, which was associated with a sensitivity of 0.75 and 0.69, and a specificity of 0.72 and 0.76. Negative predictive values of 0.94 and 0.93 and positive predictive values of 0.35 and 0.36, as well as correctly classified patient rates of 72% and 75% were obtained in the training and validation groups, respectively. A composite model using aspartate aminotransferase level, triglyceride level and waist circumference alongside the MIR spectra led to an increase in AUROC (0.88 and 0.84 for the training and validations groups, respectively). Conclusions: MIR spectroscopy provides good sensitivity and negative predictive values for NASH screening in patients with severe obesity. Lay summary: There is an urgent need for tools to non-invasively diagnose and monitor non-alcoholic steatohepatitis (NASH). This study evaluates the performance of a new tool for fast NASH diagnosis based on mid-infrared (MIR) spectroscopy. Using serum samples from severely obese patients who underwent a bariatric procedure, which enabled a concomitant liver biopsy to be performed, the MIR spectroscopy model performed well in screening patients for NASH compared to a traditional, histological diagnosis. Keywords: Fiber evanescent wave spectroscopy, mid-infrared (MIR) spectroscopy, chalcogenide glass, non-alcoholic steatohepatitis, NASH, severely obese patients, non-invasive test, metabolic fingerprint
机译:背景和目标:迫切需要为非酒精级脂肪肝炎(纳什)开发非侵入性测试。本研究评估了基于中红外(MIR)光谱进行纳什诊断的创新模型的诊断性能。方法:令人生畏的肥胖患者在大学尼斯尼斯大学医院,法国(N = 395)讨论。在手术前测量临床生物学特性。在外科手术过程中收集肝脏活组织检查,并由病理学家评估。培训组(316名患者,纳什:16.8%)和验证组(79例,纳什:16.5%)被随机定义。使用硫族化物玻璃纤维光学传感器和光谱仪,通过纤维渐逝波光谱获得MIR光谱。该吸收光谱技术提供识别样品的分子组合物的光谱,限定患者的代谢指纹。结果:培训和验证组的诊断接收器操作曲线(Auroc)下的区域分别为0.82和0.77。最佳阈值为0.15,其敏感性为0.75和0.69,特异性为0.72和0.76。在训练和验证组中,分别在训练和验证组中获得负面预测值0.94和0.93的0.94和0.93和0.35和0.36的阳性预测值,以及72%和75%的正确分类率。与MIR光谱一起使用天冬氨酸氨基转移酶水平,甘油三酯水平和腰围的复合模型导致AUROC(分别为培训和验证组0.88和0.84的增加)。结论:MIR光谱对严重肥胖症患者的纳什筛查提供了良好的敏感性和否定预测值。 LAD SIGATION:迫切需要对非侵入性诊断和监测非酒精脱脂性炎(NASH)的工具。本研究评估了基于中红外(MIR)光谱的快速纳什诊断的新工具的性能。使用受到肥胖程序的严重肥胖患者的血清样本,该患者能够进行伴随肝脏活检,MIR光谱模型在筛查纳什患者与传统的组织学诊断相比均匀。关键词:纤维渐逝波谱,中红外线(MIR)光谱,硫属化物玻璃,非酒精脱脂性炎,肿瘤,严重肥胖患者,非侵入性试验,代谢指纹

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