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生物电阻抗矢量分析在诊断重症和非重症登革热患者中的应用

Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients.

作者信息

Khalil Sami F, Mohktar Mas S, Ibrahim Fatimah

机构信息

Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.

Centre for Innovation in Medical Engineering (CIME), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia.

出版信息

Sensors (Basel). 2016 Jun 18;16(6):911. doi: 10.3390/s16060911.

DOI:10.3390/s16060911
PMID:27322285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4934337/
Abstract

Real-time monitoring and precise diagnosis of the severity of Dengue infection is needed for better decisions in disease management. The aim of this study is to use the Bioimpedance Vector Analysis (BIVA) method to differentiate between healthy subjects and severe and non-severe Dengue-infected patients. Bioimpedance was measured using a 50 KHz single-frequency bioimpedance analyzer. Data from 299 healthy subjects (124 males and 175 females) and 205 serologically confirmed Dengue patients (123 males and 82 females) were analyzed in this study. The obtained results show that the BIVA method was able to assess and classify the body fluid and cell mass condition between the healthy subjects and the Dengue-infected patients. The bioimpedance mean vectors (95% confidence ellipse) for healthy subjects, severe and non-severe Dengue-infected patients were illustrated. The vector is significantly shortened from healthy subjects to Dengue patients; for both genders the p-value is less than 0.0001. The mean vector of severe Dengue patients is significantly shortened compare to non-severe patients with a p-value of 0.0037 and 0.0023 for males and females, respectively. This study confirms that the BIVA method is a valid method in differentiating the healthy, severe and non-severe Dengue-infected subjects. All tests performed had a significance level with a p-value less than 0.05.

摘要

在疾病管理中做出更好的决策需要对登革热感染的严重程度进行实时监测和精确诊断。本研究的目的是使用生物电阻抗矢量分析(BIVA)方法区分健康受试者与重症和非重症登革热感染患者。使用50 KHz单频生物电阻抗分析仪测量生物电阻抗。本研究分析了299名健康受试者(124名男性和175名女性)和205名血清学确诊的登革热患者(123名男性和82名女性)的数据。所得结果表明,BIVA方法能够评估和分类健康受试者与登革热感染患者之间的体液和细胞质量状况。绘制了健康受试者、重症和非重症登革热感染患者的生物电阻抗平均矢量(95%置信椭圆)。从健康受试者到登革热患者,矢量明显缩短;对于男女两性,p值均小于0.0001。重症登革热患者的平均矢量与非重症患者相比明显缩短,男性和女性的p值分别为0.0037和0.0023。本研究证实,BIVA方法是区分健康、重症和非重症登革热感染受试者的有效方法。所有进行的测试的显著性水平p值均小于0.05。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/75bbd6a41595/sensors-16-00911-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/776399d2f789/sensors-16-00911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/af96cf46a406/sensors-16-00911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/ea6ee651a979/sensors-16-00911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/c0ed83337c71/sensors-16-00911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/75bbd6a41595/sensors-16-00911-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/776399d2f789/sensors-16-00911-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/af96cf46a406/sensors-16-00911-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/ea6ee651a979/sensors-16-00911-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/c0ed83337c71/sensors-16-00911-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af38/4934337/75bbd6a41595/sensors-16-00911-g005.jpg

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本文引用的文献

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