HIV-1 CRF01_AE strain is associated with faster HIV/AIDS progression in Jiangsu Province, China

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作者
Minjie Chu
Wuhong Zhang
Xuan Zhang
Wenjie Jiang
Xiping Huan
Xiaojun Meng
Bowen Zhu
Yue Yang
Yusha Tao
Tian Tian
Yihua Lu
Liying Jiang
Lei Zhang
Xun Zhuang
机构
[1] Nantong University,Department of Epidemiology and Biostatistics, School of Public Health
[2] Monash University,School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences
[3] Wuxi Municipal Centre for Disease Control and Prevention,Department of Management Studies
[4] University of Bath,Melbourne Sexual Health Centre
[5] Jiangsu Provincial Center for Disease Control and Prevention,Central Clinical School, Faculty of Medicine
[6] Alfred Health,Research Centre for Public Health
[7] Monash University,undefined
[8] Tsinghua University,undefined
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摘要
The goal of this study was to assess risk factors associated with HIV/AIDS progression. Between May 2007 and December 2014, 114 subjects were enrolled in Wuxi City and examined every 6 months. The pol gene sequence was amplified to ascertain the HIV-1 subtype. A Cox proportional hazards regression model was used to estimate the factors associated with HIV/AIDS progression. The median follow-up time for all 114 subjects was 26.70 months (IQR: 18.50–41.47), while the median progression time of the 38 progressed subjects was 24.80 months (IQR: 14.13–34.38). Overall, the CRF01_AE subtype was correlated with a significant risk of accelerated progression compared to non-CRF01_AE subtypes (HR = 3.14, 95%CI: 1.39–7.08, P = 0.006). In addition, a lower CD4 count (350–499) at baseline was associated with a risk of accelerated HIV/AIDS progression compared to higher CD4 count (≥500) (HR = 4.38, 95%CI: 1.95–9.82, P < 0.001). Furthermore, interaction analyses showed that HIV-1 subtypes interacted multiplicatively with transmission routes or CD4 count at baseline to contribute to HIV/AIDS progression (P = 0.023 and P < 0.001, respectively). In conclusion, the CRF01_AE subtype and a lower CD4 count at baseline tend to be associated with the faster progression of HIV/AIDS. Understanding the factors affecting HIV/AIDS progression is crucial for developing personalized management and clinical counselling strategies.
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