A new approach to classify risk in dengue infection using bioelectrical impedance analysis.
AbstractThe study on risk classification was conducted on 183 hospitalized dengue patients (4 DF, 179 DHF). The severity of the risk criteria was determined based on three blood investigations, namely, platelet (PLT) count (less than or equal to 30 000 cells per mm3), haematocrit (HCT) (increase by more than or equal to 20%), and either aspartate aminotransferase (AST) level (raised by 5-fold the normal upper limit) or alanine aminotransferase (ALT) level (raised by 5-fold the normal upper limit). The patients were divided into three groups based on their risk factors and the corresponding bioelectrical impedance analysis (BIA) (i.e. bioelectrical tissue conductivity (BETC) parameters), namely, resistance (R), phase angle (α), body capacitance (BC) and capacitive reactance (XC) were obtained and quantified. Using logistic regression analysis, XC was found to be the best predictor in predicting the risk and severity in dengue patients. Subsequent two-way analysis of variance (ANOVA) found that there was a statistically significant relationship between the group categories and the change in XC. Hence, it was shown that BIA, as reflected by the XC value, can effectively segregate between the lower-risk (female mean XC = 60.70Ω, range 58.09Ω–63.43Ω; male mean XC = 62.17Ω, range 59.92Ω– 64.46Ω) and the higher-risk dengue patients (female mean XC = 43.99Ω, range 42.05Ω–45.97Ω; male mean XC = 50.65Ω range 49.25Ω–52.09Ω), with the control data ((female mean XC =69.41Ω, range 67.09Ω–71.74Ω), and (male mean XC =64.19Ω, range 61.37Ω–67.15Ω)).
Ibrahim, Fatimah, Wan Abas, Wan Abu Bakar, Taib, Mohd Nasir, Guan, Chan Chong & Sulaiman, Saadiah. (2007). A new approach to classify risk in dengue infection using bioelectrical impedance analysis.. WHO Regional Office for South-East Asia.. https://apps.who.int/iris/handle/10665/170457