Extended Data Table 3 Logistic regression analysis on risk factors of mother-to-child transmission of hepatitis B virus in the implementation stage of SHIELD

From: Real-world implementation of a multilevel interventions program to prevent mother-to-child transmission of HBV in China

  1. We conducted logistic regression analysis on risk factors of mother-to-child transmission of hepatitis B virus in the implementation stage of SHIELD. Univariable logistic regression analysis was used to identify clinically relevant variables associated with MTCT in stage II. Collinearity diagnostics were conducted and variables (age (p = 0.065); no antiviral treatment (p = 0.006); HBeAg-positive (p < 0.001); HBV DNA ≥200,000 IU/mL (p < 0.001); cesarean section (p = 0.052); invasive procedure during pregnancy (p = 0.007)) with a p < 0.10 in the univariable logistic regression analysis were entered into the multivariable logistic regression model (no antiviral treatment (p < 0.001); HBeAg-positive (p = 0.001); HBV DNA ≥200,000 IU/mL (p = 0.013); invasive procedure during pregnancy (p = 0.010)). P values are two-sided. GDP, gross domestic product; HBeAg, hepatitis B e antigen; HepB-BD, hepatitis B vaccine birth dose; HBIG, hepatitis B immunoglobulin; HepB, hepatitis B vaccine.