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Revista Cubana de Medicina Tropical
versão On-line ISSN 1561-3054
Resumo
RODRIGUEZ LAY, Licel de los Ángeles et al. Evaluation of a simple and fast real time polymerase chain reaction assay for quantification of hepatitis B virus DNA. Rev Cubana Med Trop [online]. 2020, vol.72, n.2 Epub 20-Out-2020. ISSN 1561-3054.
Introduction:
Assays to quantify hepatitis B virus (HBV) DNA or viral load are indispensable for the diagnosis and follow-up of patients with chronic hepatitis B, hence the availability of diagnostic kits for this purpose. The present study deals with the validation of HBV SUMASIGNAL (one step), a real time polymerase chain reaction (RT-PCR) system for quantification of the HBV genome proposed by the Immunoassay Center.
Objective:
Evaluate the analytical performance of HBV SUMASIGNAL (one step).
Methods:
Use was made of a panel of 80 well characterized serum samples and the Third WHO International Standard for hepatitis B virus nucleic acid amplification techniques. Determination was performed of assay characteristics such as clinical specificity, analytical specificity (cross-reactivity), linear range or linearity and accuracy, intra-assay precision and comparison with a reference assay.
Results:
Analytical and clinical specificity was 100%. Evaluation of linearity and accuracy with a WHO reference standard revealed that all the differences between the log10 of the value obtained and the reference value were lower than 0.5 log10 (r= 0.9977 and r2= 0.9954). The intra-assay variation coefficients obtained were low. Comparative evaluation with the commercial Artus HBV RG PCR kit showed a strong correlation (r= 0.8882).
Conclusions:
The assay HBV SUMASIGNAL (one step) is easy to conduct manually, fast and includes reagents for nucleic acid extraction. Based on the validity of the method for the use in mind, it may be recommended for incorporation into the diagnosis, surveillance and treatment of patients with chronic hepatitis B.
Palavras-chave : real time polymerase chain reaction; hepatitis B; HBV DNA quantification; validation of diagnostic systems.