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Volatile organic compounds in exhaled breath as a diagnostic tool for asthma in children.

机译:呼出气中的挥发性有机化合物可作为儿童哮喘的诊断工具。

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BACKGROUND: The correct diagnosis of asthma in young children is often hard to achieve, resulting in undertreatment of asthmatic children and overtreatment in transient wheezers. OBJECTIVES: To develop a new diagnostic tool that better discriminates between asthma and transient wheezing and that leads to a more accurate diagnosis and hence less undertreatment and overtreatment. A first stage in the development of such a tool is the ability to discriminate between asthmatic children and healthy controls. The integrative analysis of large numbers of volatile organic compounds (VOC) in exhaled breath has the potential to discriminate between various inflammatory conditions of the respiratory tract. METHODS: Breath samples were obtained and analysed for VOC by gas chromatography-mass spectrometry from asthmatic children (n=63) and healthy controls (n=57). A total of 945 determined compounds were subjected to discriminant analysis to find those that could discriminate diseased from healthy children. A set of samples from both asthmatic and healthy children was selected to construct a model that was subsequently used to predict the asthma or the healthy status of a test group. In this way, the predictive value of the model could be tested. MEASUREMENTS AND MAIN RESULTS: The discriminant analyses demonstrated that asthma and healthy groups are distinct from one another. A total of eight components discriminated between asthmatic and healthy children with a 92% correct classification, achieving a sensitivity of 89% and a specificity of 95%. Conclusion The results show that a limited number of VOC in exhaled air can well be used to distinguish children with asthma from healthy children.
机译:背景:通常很难对年幼的儿童进行正确的哮喘诊断,导致哮喘儿童的治疗不足和短暂性喘息症的过度治疗。目的:开发一种新的诊断工具,以更好地区分哮喘和短暂性喘息,从而使诊断更加准确,从而减少治疗不足和过度治疗。开发这种工具的第一步是区分哮喘儿童和健康对照者的能力。呼出气中大量挥发性有机化合物(VOC)的综合分析有可能区分呼吸道的各种炎症状况。方法:从哮喘儿童(n = 63)和健康对照组(n = 57)中获取呼吸样品并通过气相色谱-质谱法分析其VOC。总共对945种确定的化合物进行了判别分析,以发现可以区分健康儿童疾病的化合物。选择了一组来自哮喘儿童和健康儿童的样本以构建模型,随后将该模型用于预测测试组的哮喘或健康状况。这样,可以测试模型的预测值。测量和主要结果:判别分析表明,哮喘和健康人群彼此不同。共有8个成分在哮喘儿童和健康儿童之间进行了区分,正确分类率为92%,灵敏度为89%,特异性为95%。结论结果表明,呼出空气中的挥发性有机化合物数量有限,可以很好地区分哮喘儿童和健康儿童。

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