Additional file 1 of Impact factors of Blastocystis hominis infection in persons living with human immunodeficiency virus: a large-scale, multi-center observational study from China
Creators: name: Zhang, Shun-Xian
name: Wang, Ji-Chun
name: Li, Zhong-Wei
name: Zheng, Jin-Xin
name: Zhou, Wen-Ting
name: Yang, Guo-Bing
name: Yu, Ying-Fang
name: Wu, Xiu-Ping
name: Lv, Shan
name: Liu, Qin
name: Chen, Mu-Xin
name: Lu, Yan
name: Dou, Zhi-Hui
name: Zhang, Da-Wei
name: Lv, Wen-Wen
name: Wang, Lei
name: Lu, Zhen-Hui
name: Yang, Ming
name: Zheng, Pei-Yong
name: Chen, Yue-Lai
name: Tian, Li-Guang
name: Zhou, Xiao-Nong
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1: Table S1. Testing of normality for age, body mass index, HIV infection time, duration of interruption in highly active antiretroviral therapy, CD4+ T cell counts, HIV viral load. Table S2. Comparison of some quantitative variables in persons living with human immunodeficiency virus with or without Blastocystis hominis infection. Table S3. The correlation between CD4+ T cell counts, HIV viral load, duration of HIV infection, the duration of interruption in highly active antiretroviral therapy in people living with HIV. Table S4. Multivariable analysis with logistic regression for Blastocystis hominis infection in persons living with human immunodeficiency virus. Table S5. Propensity score method was used to explore the association between Blastocystis hominis infection and CD4+ T immunological status, HIV virological status, and treatment interruption. Table S6. The study employs propensity scores to investigate the association between Blastocystis hominis infection and CD4+ T cell counts (cells/μl), HIV viral load (copies/ml), and the duration of interruption in antiretroviral therapy (month). Table S7. Univariate linear models and nonlinear models was used to investigate the relationship between Blastocystis hominis infection and CD4+ T cell counts (cells/μl), HIV viral load (copies/ml), and the duration of interruption in highly active antiretroviral therapy (month). Table S8. E-value analyses were employed to examine the strength and robustness of associations between Blastocystis hominis infection and CD4+ T immunological status, HIV virological status, as well as treatment interruption. Table S9. The least absolute shrinkage and selection operator (lasso) logistic regression was conducted to explore the risk factors associated with Blastocystis hominis infection in individuals living with human immunodeficiency virus/acquired immune deficiency syndrome. Table S10. Model evaluation indicators for these four algorithms. Fig. S1. Restricted cubic spline (RCS, three knots, 10th, 50th and 90th percentiles) was applied to explore the association between Blastocystis hominis infection risk and HIV infection time (year), CD4+ T counts, HIV viral load and duration of interruption in highly active antiretroviral therapy (month). Fig. S2. The four algorithms were applied for screening of risk factors associated with Blastocystis hominis infection in persons living with HIV (area under curve. categorical variable). Fig. S3. The four algorithms were adopted for screening of the risk factors associated with Blastocystis hominis infection in person living with HIV (feature selection. Categorical variable). Fig. S4. The four algorithms were applied for demonstrating the all risk factors associated with Blastocystis hominis infection in person living with HIV (area under curve. Continuous variable). Fig. S5. The four algorithms were adopted for indicating the all risk factors associated with Blastocystis hominis infection in persons living with HIV (feature selection. Continuous variable).