Predicting the immunological nonresponse to antiretroviral therapy in people living with HIV: a machine learning-based multicenter large-scale study.

Journal: Frontiers in cellular and infection microbiology
PMID: 40134788

Abstract

BACKGROUND: Although highly active antiretroviral therapy (HAART) has greatly enhanced the prognosis for people living with HIV (PLWH), some individuals fail to achieve adequate immune reconstitution, known as immunological nonresponse (INR), which is linked to poor prognosis and higher mortality. However, the early prediction and intervention of INR remains challenging in South China.

Authors

  • Suling Chen
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Lixia Zhang
    Research Center for Agricultural and Sideline Products Processing, Henan Academy of Agricultural Sciences, 116 Park Road, Zhengzhou 450002, PR China.
  • Jingchun Mao
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Zhe Qian
    Second Department of Elderly Respiratory, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Provincial Geriatrics Institute, Southern Medical University, Guangzhou, China.
  • Yuanhui Jiang
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Xinrui Gao
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Mingzhu Tao
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Guangyu Liang
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
  • Jie Peng
    School of Physical Education, Liupanshui Normal University, Liupanshui, China.
  • Shaohang Cai
    Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Keywords

External Resources

Popular Topics
Recent Journals