1.Evaluation of a Commercial Glycoprotein Enzyme-Linked Immunosorbent Assay for Measuring Vaccine Immunity to Varicella.
Yun Hwa KIM ; Ji Young HWANG ; Hye Min SHIM ; Eunsil LEE ; Songyong PARK ; Hosun PARK
Yonsei Medical Journal 2014;55(2):459-466
PURPOSE: To evaluate a recently marketed commercial glycoprotein enzyme-linked immunosorbent assay (gpEIA) kit, the VaccZyme(TM) VZV gpEIA, for measuring the immunity of varicella-vaccinated children. MATERIALS AND METHODS: We investigated the accuracy and reproducibility of the VaccZyme(TM) VZV gpEIA kit for the detection of antibodies to VZV. We also examined the sensitivity, specificity, and correlation between antibody titers calculated with gpEIA versus fluorescent antibody to membrane antigen (FAMA) by using sera of 349 children, ranging from 1 to 6 years old. RESULTS: VaccZyme(TM) VZV gpEIA gave precise and reproducible intra- and inter-assay results. FAMA and gpEIA titers showed a linear correlation (Pearson correlation coefficient=0.987). The sensitivity and specificity of the VaccZyme(TM) gpEIA was 31.4% and 100%, respectively, when the guidelines of the gpEIA (<100 mIU/mL) and FAMA 1:4 were adopted as cutoff values. However, the maximum sensitivity and specificity were 88.9% and 95.1%, respectively, with the highest correlation (kappa=0.840), if the cutoff values were set with gpEIA at 49.7 mIU/mL and FAMA 1:16. CONCLUSION: These results demonstrate that the VaccZyme(TM) VZV gpEIA kit gave precise and reproducible data for measuring antibody titer after varicella vaccination. The results also showed that the antibody titer calculated with the VaccZyme(TM) gpEIA kit strongly correlated with the FAMA titer. However, cutoff values should be re-optimized for the evaluation of vaccine immunity.
Antibodies
;
Chickenpox*
;
Child
;
Enzyme-Linked Immunosorbent Assay*
;
Glycoproteins*
;
Humans
;
Membranes
;
Methods
;
Sensitivity and Specificity
;
Vaccination
2.Analysis of Predisposing Factors for Hearing Loss in Adults.
Joong Seob LEE ; Hyo Geun CHOI ; Jeong Hun JANG ; Songyong SIM ; Sung Kwang HONG ; Hyo Jeong LEE ; Bumjung PARK ; Hyung Jong KIM
Journal of Korean Medical Science 2015;30(8):1175-1182
We aimed to estimate the effects of various risk factors on hearing level in Korean adults, using data from the Korea National Health and Nutrition Examination Survey. We examined data from 13,369 participants collected between 2009 and 2011. Average hearing thresholds at low (0.5, 1, and 2 kHz) and high frequencies (3, 4, and 6 kHz), were investigated in accordance with various known risk factors via multiple regression analysis featuring complex sampling. We additionally evaluated data from 4,810 participants who completed a questionnaire concerned with different types of noise exposure. Low body mass index, absence of hyperlipidemia, history of diabetes mellitus, low incomes, low educational status, and smoking were associated with elevated low frequency hearing thresholds. In addition, male sex, low body mass index, absence of hyperlipidemia, low income, low educational status, smoking, and heavy alcohol consumption were associated with elevated high frequency hearing thresholds. Participants with a history of earphone use in noisy circumstances demonstrated hearing thresholds which were 1.024 dB (95% CI: 0.176 to 1.871; P = 0.018) higher, at low-frequencies, compared to participants without a history of earphone use. Our study suggests that low BMI, absence of hyperlipidemia, low household income, and low educational status are related with hearing loss in Korean adults. Male sex, smoking, and heavy alcohol use are related with high frequency hearing loss. A history of earphone use in noisy circumstances is also related with hearing loss.
Adult
;
Alcohol Drinking/*epidemiology
;
Causality
;
Comorbidity
;
Diabetes Mellitus
;
Disease Susceptibility
;
Educational Status
;
Employment/statistics & numerical data
;
Female
;
Hearing Loss/*diagnosis/*epidemiology
;
Hearing Tests/statistics & numerical data
;
Humans
;
Income/statistics & numerical data
;
Male
;
*Noise
;
Occupational Exposure/*statistics & numerical data
;
Republic of Korea/epidemiology
;
Risk Factors
;
Sex Distribution
;
Smoking/*epidemiology
;
Surveys and Questionnaires