Human Vaccines & Immunotherapeutics (Sep 2021)

Predicting related factors of immunological response to hepatitis B vaccine in hemodialysis patients based on integration of decision tree classification and logistic regression

  • Yongliang Feng,
  • Jianmin Wang,
  • Zhihong Shao,
  • Zhuanzhuan Chen,
  • Tian Yao,
  • Shuang Dong,
  • Yuanting Wu,
  • Xiaohong Shi,
  • Jing Shi,
  • Guangming Liu,
  • Jingen Bai,
  • Hongping Guo,
  • Hongting Liu,
  • Xiaofeng Wu,
  • Liming Liu,
  • Xiaohui Song,
  • Jiangtao Zhu,
  • Suping Wang,
  • Xiaofeng Liang

DOI
https://doi.org/10.1080/21645515.2021.1895603
Journal volume & issue
Vol. 17, no. 9
pp. 3214 – 3220

Abstract

Read online

The non/hypo-response rate of the hepatitis B vaccine among hemodialysis (HD) patients is still high, it is of great significance to explore the influencing factors and their relationships. To study the related factors and their relationships using logistic regression model and Chi-squared Automatic Interaction Detection (CHAID) decision tree model. A randomized controlled trial was conducted between February 2014 and May 2015 in China. HD patients being serologically negative for HBsAg and anti-HBs were randomly assigned to receive three intramuscular injections of the standard dose (20 µg) or high dose (60 µg) of recombinant hepatitis B vaccine at months 0, 1, and 6. Those with anti-HBs concentrations 4 times per 2 weeks) (OR = 1.918, 95%CI: 1.015–3.626) had a significant risk of non/hypo-response. While the CHAID analysis showed that gender, dose, and dialysis frequency were influencing factors of non/hypo-response, and gender is most important. The interaction between gender and dialysis frequency had the greatest effect on immunization, and followed by the interaction between dialysis frequency and vaccine dose. Taken together, gender, dose and dialysis frequency were influencing factors of hepatitis B vaccine in HD patients.

Keywords