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Trend patterns of HBsAg kinetics in chronic hepatitis B patients during nucleos(t)ide analogue therapy based on ARMA models.
Yu, Hsien-Chung; Huo, Wen-Wei; Lin, Kung-Hung; Sun, Wei-Chih; Lee, Ching-Nun.
Afiliación
  • Yu HC; Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Department of Nursing, Meiho Institute of Technology, Ping-Tung 912, Taiwan;
  • Huo WW; Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Institute of Economics, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
  • Lin KH; Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan; Department of Nursing, Meiho Institute of Technology, Ping-Tung 912, Taiwan.
  • Sun WC; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kaohsiung Veterans General Hospital, Kaohsiung 813, Taiwan.
  • Lee CN; Institute of Economics, National Sun Yat-sen University, Kaohsiung 804, Taiwan.
J Formos Med Assoc ; 122(6): 458-469, 2023 Jun.
Article en En | MEDLINE | ID: mdl-36725372
ABSTRACT

BACKGROUND:

Trend pattern analysis are lacking for hepatitis B surface antigen (HBsAg) kinetics in chronic hepatitis B (CHB) patients during nucleos(t)ide analogue (Nuc) therapy. We evaluated the trend patterns of HBsAg kinetics by time series analysis and forecasting times to HBsAg seroclearance accordingly.

METHODS:

A total of 116 CHB patients with documented three-month HBsAg levels during the previous more than five years of Nuc therapy were included. The piecewise linear trends of the autoregressive-moving average (ARMA) model were used for time series analysis of HBsAg kinetics trends. Best fitted models were created for each patient using HBsAg datasets with backtracking capability. Predicted time to HBsAg seroclearance was calculated accordingly.

RESULTS:

Four trend patterns of HBsAg kinetics were found no trend (n = 22, 19.0%), single trend (n = 16, 13.8%), biphasic trend with rapid-slow decline (n = 56, 48.2%) and biphasic trend with rise-decline (n = 22, 19.0%). Except for no-trend patients, the trend became slow reduction as HBsAg declined. Only 6.1% of patients continued rapid decline when the initial HBsAg of the last trend reached <100 IU/mL. Last trend slopes < -10 and rise-decline patterns indicate greater chances of achieving HBsAg seroclearance within two years.

CONCLUSION:

Best fitted ARMA models of HBsAg kinetics can be created individually for patients during Nuc therapy. About 67.2% patients have biphasic trend patterns, suggesting the dynamic nature of HBsAg kinetics over time. Trend patterns and last trend slopes predict individual times to HBsAg seroclearance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_enfermedades_transmissibles Asunto principal: Hepatitis B Crónica / Antígenos de Superficie de la Hepatitis B Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Formos Med Assoc Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 2_ODS3 Problema de salud: 2_enfermedades_transmissibles Asunto principal: Hepatitis B Crónica / Antígenos de Superficie de la Hepatitis B Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Formos Med Assoc Asunto de la revista: MEDICINA Año: 2023 Tipo del documento: Article
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