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Quantitative serum HBV markers in predicting phases of natural history of chronic HBV infection.
Zhang, Zhan-Qing; Shi, Bi-Sheng; Lu, Wei; Huang, Dan; Wang, Yan-Bing; Feng, Yan-Ling.
Afiliação
  • Zhang ZQ; Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: doctorzzqsphc@163.com.
  • Shi BS; Scientific Research Center, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: xiaoshengzier@163.com.
  • Lu W; Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: b33lw@163.com.
  • Huang D; Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: danhuang1986@163.com.
  • Wang YB; Department of Hepatobiliary Medicine, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: cruzewang@163.com.
  • Feng YL; Department of Clinical Pathology, Shanghai Public Health Clinical Center of Fudan University, China. Electronic address: fyl-hy@163.com.
J Virol Methods ; 296: 114226, 2021 10.
Article em En | MEDLINE | ID: mdl-34217779
ABSTRACT

BACKGROUND:

Clinical importance of commercially available quantitative HBV markers has not been fully investigated.

OBJECTIVE:

To choice and to evaluate clinically valuable HBV markers for predicting phases of natural history with chronic HBV infection.

METHODS:

472 naïve patients with chronic HBV infection were enrolled, in which 21 and 220 were confirmed as HBeAg-positive inactive and active hepatitis (EPIH and EPAH), respectively, and 106 and 125 were confirmed as HBeAg-negative inactive and active hepatitis (ENIH and ENAH), respectively. HBsAg, HBcrAg and anti- HBc were measured using chemiluminescent immunoassay, and HBV DNA was measured using PCR-fluorescence probing assay.

RESULTS:

There were all statistical differences in medians of HBsAg, anti-HBc, HBcrAg and HBV DNA between EPIH and EPAH and between ENIH and ENAH (all P < 0.01). According to binary logistic stepwise regressions, HBsAg and anti-HBc were preferred variables for predicting EPAH, and HBcrAg and HBV DNA were preferred variables for predicting ENAH. Based on normalization for coefficients of preferred variables entering regression equations, a handy model of MEPAH for predicting EPAH and of MENAH for predicting ENAH was constructed, respectively. Area under receiver operating characteristic curves of MEPAH and MENAH for predicting EPAH and ENAH were 0.882 and 0.931, respectively. With standard of MEPAH ≤ 5.997 and MENAH > 10.535, sensitivity or specificity of which for predicting EPAH and ENAH were about 81.0 % and 87.0 %, respectively.

CONCLUSION:

HBsAg and anti-HBc for predicting EPAH and HBcrAg and HBV DNA for predicting ENAH are dependable markers; MEPAH for predicting EPAH and MENAH for predicting ENAH have very good performance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Hepatite B Crônica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Virol Methods Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Biomarcadores / Hepatite B Crônica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Virol Methods Ano de publicação: 2021 Tipo de documento: Article