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Exhaled Breath Analysis of Emergency Room Patients with Diabetes and Respiratory Diseases.

机译:糖尿病和呼吸系统疾病的急诊室患者呼气分析。

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摘要

Pneumonia and diabetes are two of the top ten most prevalent and costliest diseases in the United States. This study focuses on the exhaled breath of subjects who suffered from these two diseases to observe what characteristic Volatile Organic Compounds (VOCs) are enhanced in these subjects. Two separate studies were completed at the University of California, Irvine -- Medical Center. The first study served as a pilot study and consisted of 20 subjects diagnosed with pneumonia in the Emergency Department (E.D). Stemming from the pilot study was a second study in which the exhaled breath gases were analyzed of subjects at the E.D. who suffered from a variety of respiratory illnesses or diabetes. In this study, breath samples were collected from 55 respiratory illness subjects and 54 diabetic subjects. The exhaled gas profiles of these subjects were compared to the typical gases found in healthy controls. The healthy control data were comprised of 218 healthy subjects sampled during the same time period in which the diseased subjects were sampled. By comparing the exhaled gases from the patients sampled with the healthy control data, we were able to determine several gases that were enhanced in people suffering from diabetes and also a variety of respiratory illnesses. The goal of this study was to be able to differentiate healthy subjects from the E.D. patients only from the breath data. In order to test this, Discriminant Analysis was applied to the data as was able to predict a healthy or ill outcome correctly for 94% of the subjects sampled with respiratory illnesses and 94-99% correctly for the diabetic subjects. The ten gases used to classify the respiratory patients were CS2, CH3CN, methane, ethane, propane, propene, i-pentane, and unknowns 3B, 3E, and 3H. The six gases used to classify the diabetic patients were CH3CN, CCl4, butanone, 2-pentanone, acetone, and methyl nitrate. Simply by using six to nine gases as fingerprint biomarkers for these two disease types, we were able to correctly predict a subject's condition of health for over 94% of the subjects.
机译:肺炎和糖尿病是美国十大最流行和最昂贵的疾病中的两个。这项研究的重点是患有这两种疾病的受试者的呼气,以观察这些受试者中挥发性有机化合物(VOC)的特征如何增强。加州大学尔湾分校医学中心完成了两项单独的研究。第一项研究是一项试点研究,由急诊科(E.D)确诊为肺炎的20名受试者组成。这项初步研究的第二项研究是在E.D.中分析呼出的呼吸气体。患有各种呼吸系统疾病或糖尿病的人。在这项研究中,从55名呼吸系统疾病受试者和54名糖尿病受试者中采集了呼吸样本。将这些受试者的呼出气体分布图与健康对照中发现的典型气体进行比较。健康对照数据由在采样患病受试者的同一时间段内采样的218名健康受试者组成。通过将样本患者的呼出气体与健康对照数据进行比较,我们能够确定患有糖尿病以及各种呼吸系统疾病的人中增强的几种气体。这项研究的目的是能够区分健康受试者和E.D.患者仅从呼吸数据。为了对此进行检验,将判别分析应用于数据,以能够正确预测94%的呼吸道疾病患者和94-99%的糖尿病患者的健康或不良结局。用于对呼吸系统患者进行分类的十种气体是CS2,CH3CN,甲烷,乙烷,丙烷,丙烯,异戊烷和未知数3B,3E和3H。用于对糖尿病患者进行分类的六种气体是CH3CN,CCl4,丁酮,2-戊酮,丙酮和硝酸甲酯。只需使用六到九种气体作为这两种疾病类型的指纹生物标记,我们就可以正确地预测94%以上受试者的健康状况。

著录项

  • 作者

    Gartner, Matthew David.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Chemistry Biochemistry.;Health Sciences Medicine and Surgery.;Chemistry Pharmaceutical.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 195 p.
  • 总页数 195
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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