Establishment of a risk prediction for tuberculosis infection model in HIV-infected/AIDS patients

Autor: CHEN Qianli, ZHENG Xiaoyan, CHEN Ruihua
Jazyk: čínština
Rok vydání: 2023
Předmět:
Zdroj: 陆军军医大学学报, Vol 45, Iss 17, Pp 1869-1876 (2023)
Druh dokumentu: article
ISSN: 2097-0927
DOI: 10.16016/j.2097-0927.202301110
Popis: Objective To investigate the infectious status of Mycobacterium tuberculosis (TB) in human immunodeficiency virus (HIV)-infected/acquired immune deficiency syndrome (AIDS) patients, and to establish a prediction model for infection risk. Methods A retrospective cohort study was conducted on 816 HIV-infected/AIDS patients who were registered in our hospital from January 2017 to August 2022. Then with the aid of envelopes, 571 cases were assigned into a testing group and 245 cases into a validation group at a ratio of 7 ∶3. Relevant indicators that may cause TB infection were collected in these patients. The patients were also divided into tuberculosis group and non-tuberculosis group. The relevant factors were compared between the 2 groups. After screening variables with LASSO, multivariate logistic regression analysis was performed and the obtained factors were used to establish a nomogram model, which was further verified. Results Among the 571 HIV-infected/AIDS patients in the model group, 59 (10.33%) were diagnosed as TB infection. Multivariate logistic regression analysis showed that age, drug abuse history, BCG vaccination history, recent CD4+ T cell level, tuberculosis contact history, and cough history in recent 1 year were independent influencing factors of TB infection in the patients (P
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