Approach Using Multiple Biomarkers for Diagnosis of Hansen's Disease / 나학회지

ABSTRACT

Background@#The prevalence of leprosy has almost reached the goal of World Health Organization. Accordingly, attention to leprosy and the number of skilled doctors who can diagnosis the leprosy upon clinical manifestations were decreased which caused the delayed diagnosis of leprosy. @*Objective@#Serum C-reactive protein, interferon gamma-induced protein 10, anti-phenolic-glycolipid-1 IgM are biomarkers associated with multi-bacillary leprosy. Therefore, we investigated whether the use of multiple biomarkers has diagnostic value. @*Methods@#The samples were collected from August 2012 to December 2019 at our institute. Through various statistic methods, multiple biomarkers and equation were compared in multi-bacillary patients, pauci-bacillary patients, contacts and different skin disease. @*Results@#Samples were collected from 21patients (17 multi-bacillary, 4 pauci-bacillary) and 17 from non-patients (7 from contacts, 10 from other skin disease). Serum level of C-reactive protein, interferon gamma-induced protein 10, anti-phenolic-glycolipid-1 IgM and equation showed statistical significance compared from patients to non-patients. Comparing multi-bacillary patients to pauci-bacillary patients, only anti-phenolic-glycolipid-1 IgM showed statistical significance. Each area under receiver operating characteristic curve of those biomarkers and equation was ≥0.70 and p≤0.05. The results of Equation using 3 indicators showed higher area under receiver operating characteristic curve and lower P value compared when each indicator was used. Also sensitivity and specificity of them presented meaningful data. @*Conclusion@#We confirmed that using integrated analysis of three biomarkers is more significant than the single indicator in the diagnosis of leprosy. In addition, the use of multiple biomarkers is thought to contribute to the management of leprosy in the community.