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CN 34-1304/RISSN 1674-3679

Volume 26 Issue 12
Dec.  2022
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DAI Se-ying, LIU Ai-wen, SHEN Yue-lan, CHENG Xiao-li, ZHANG Jin, WU Jian-jun, WU Jia-bin, XING Hui, RUAN Yu-hua. Influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(12): 1379-1383. doi: 10.16462/j.cnki.zhjbkz.2022.12.003
Citation: DAI Se-ying, LIU Ai-wen, SHEN Yue-lan, CHENG Xiao-li, ZHANG Jin, WU Jian-jun, WU Jia-bin, XING Hui, RUAN Yu-hua. Influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2022, 26(12): 1379-1383. doi: 10.16462/j.cnki.zhjbkz.2022.12.003

Influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province

doi: 10.16462/j.cnki.zhjbkz.2022.12.003
DAI Se-ying, LIU Ai-wen and SHEN Yue-lan contributed equally to this article
Funds:

National Science and Technology Major Projects of China 2017ZX10201101

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  • Corresponding author: Zhang Jin, E-mail: zhangjin@ahcdc.com.cn
  • Received Date: 2021-09-24
  • Rev Recd Date: 2022-01-22
  • Available Online: 2022-12-30
  • Publish Date: 2022-12-10
  •   Objective  To understand the influencing factors on the death of HIV/AIDS patients receiving antiretroviral therapy in Anhui Province.  Methods  A 1 to 2 matched case-control study was conducted to collect the information of HIV/AIDS patients who received antiretroviral therapy in Anhui Province from 2010 to 2019. The conditional logistic regression was used to analyze the risk factors on the death of HIV/AIDS patients.  Results  A total of 4 347 HIV/AIDS patients were investigated, with 1 449 cases in the death group and 2 898 cases in the control group. The multivariate conditional logistic regression result showed that among the death risk factors, drug resistance was 1.75 times (95% CI: 1.22-2.52, P=0.003) than that of non-drug resistance; the latest viral load ≥1 000 copies/mL and non-drug resistance tested results were 2.26 times (95% CI: 1.69-3.03, P < 0.001) than that of non-drug resistance; non-viral load and non-drug resistance tested results were 35.27 times (95% CI: 26.54-46.87, P < 0.001) than that of non-drug resistance; patients who age 30-49 years old was 1.40 times (95% CI: 1.01-1.94, P=0.042) than that of the 18-29 years old, and those age ≥ 50 years old was 4.02 times (95% CI: 2.80-5.77, P < 0.001) that of 18-29 years old; male was 1.37 times (95% CI: 1.08-1.74, P=0.011) than that of female, the transmission route of injecting drug use was 6.27 times (95% CI: 2.00-19.61, P=0.002) than that of heterosexual transmission; WHO clinical stage Ⅲ/Ⅳ before treatment was 1.41 times (95% CI: 1.12-1.76, P=0.007) than that of stage Ⅰ/Ⅱ; CD4+T lymphocyte count < 200 cells/μL before treatment was 1.95 times (95% CI: 1.50-2.54, P < 0.001) that of CD4+≥350 cells/μL before treatment.  Conclusions  Drug resistance, drug resistance test after antiretroviral therapy, age, gender, transmission route, WHO clinical stage before treatment, and CD4+T lymphocyte counts before treatment were the influencing factors of HIV/AIDS death in Anhui Province. Strengthening the monitoring of drug resistance for HIV/AIDS patients is important for reducing AIDS deaths. It is necessary to test viral load and drug resistance in time for HIV/AIDS patients receiving antiretroviral therapy.
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