Bioimpedance Vector Analysis in Diagnosing Severe and Non-Severe Dengue Patients.
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.
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. samifathi@siswa.um.edu.my.|Centre for Innovation in Medical Engineering (CIME), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. samifathi@siswa.um.edu.my.|Department of Biomedical Engineering, College of Engineering, Sudan University of Science and Technology, 407 Khartoum, Sudan. samifathi@siswa.um.edu.my.
Sami F
SF
Khalil
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. mas_dayana@um.edu.my.|Centre for Innovation in Medical Engineering (CIME), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. mas_dayana@um.edu.my.
Mas S
MS
Mohktar
Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. fatimah@um.edu.my.|Centre for Innovation in Medical Engineering (CIME), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. fatimah@um.edu.my.
Fatimah
F
Ibrahim
D001823:Body Composition / Q000502:physiology; D017097:Electric Impedance; D005260:Female; D006801:Humans; D008297:Male; D019595:Severe Dengue / Q000175:diagnosis* / Q000503:physiopathology
Dengue infection; bioimpedance analysis; bioimpedance vector analysis; body composition