Cargando…
Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis
BACKGROUND: In 2003, China implemented free antiretroviral therapy (ART) for people living with HIV (PLHIV), establishing an eligibility threshold of CD4 < 200 cells/μl. Subsequently, the entry criteria were revised in 2012 (eligibility threshold: CD4 ≤ 350 cells/μl), 2014 (CD4 ≤ 500 cells/μl), a...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424386/ https://www.ncbi.nlm.nih.gov/pubmed/37580822 http://dx.doi.org/10.1186/s40249-023-01119-7 |
_version_ | 1785089665178533888 |
---|---|
author | Wu, Xinsheng Wu, Guohui Ma, Ping Wang, Rugang Li, Linghua Sun, Yinghui Xu, Junjie Li, Yuwei Zhang, Tong Li, Quanmin Yang, Yuecheng Wang, Lijing Xin, Xiaoli Qiao, Ying Fang, Bingxue Lu, Zhen Zhou, Xinyi Chen, Yuanyi Liu, Qi Fu, Gengfeng Wei, Hongxia Huang, Xiaojie Su, Bin Wang, Hui Zou, Huachun |
author_facet | Wu, Xinsheng Wu, Guohui Ma, Ping Wang, Rugang Li, Linghua Sun, Yinghui Xu, Junjie Li, Yuwei Zhang, Tong Li, Quanmin Yang, Yuecheng Wang, Lijing Xin, Xiaoli Qiao, Ying Fang, Bingxue Lu, Zhen Zhou, Xinyi Chen, Yuanyi Liu, Qi Fu, Gengfeng Wei, Hongxia Huang, Xiaojie Su, Bin Wang, Hui Zou, Huachun |
author_sort | Wu, Xinsheng |
collection | PubMed |
description | BACKGROUND: In 2003, China implemented free antiretroviral therapy (ART) for people living with HIV (PLHIV), establishing an eligibility threshold of CD4 < 200 cells/μl. Subsequently, the entry criteria were revised in 2012 (eligibility threshold: CD4 ≤ 350 cells/μl), 2014 (CD4 ≤ 500 cells/μl), and 2016 (treat-all). However, the impact of treat-all policy on HIV care and treatment indicators in China is unknown. We aimed to elucidate the immediate and long-term impact of the implementation of treat-all policy in China. METHODS: Anonymized programmatic data on ART initiation and collection in PLHIV who newly started ART were retrieved between 1 January 2015 and 31 December 2019, from two provincial and municipal Centers for Disease Control and Prevention and ten major infectious disease hospitals specialized in HIV care in China. We used Poisson and quasi-Poisson segmented regression models to estimate the immediate and long-term impact of treat-all on three key indicators: monthly proportion of 30-day ART initiation, mean CD4 counts (cells/μl) at ART initiation, and mean estimated time from infection to diagnosis (year). We built separate models according to gender, age, route of transmission and region. RESULTS: Monthly data on ART initiation and collection were available for 75,516 individuals [gender: 83.8% males; age: median 39 years, interquartile range (IQR): 28–53; region: 18.5% Northern China, 10.9% Northeastern China, 17.5% Southern China, 49.2% Southwestern China]. In the first month of treat-all, compared with the contemporaneous counterfactual, there was a significant increase in proportion of 30-day ART initiation [+ 12.6%, incidence rate ratio (IRR) = 1.126, 95% CI: 1.033–1.229; P = 0.007] and mean estimated time from infection to diagnosis (+ 7.0%, IRR = 1.070, 95% CI: 1.021–1.120; P = 0.004), while there was no significant change in mean CD4 at ART initiation (IRR = 0.990, 95% CI: 0.956–1.026; P = 0.585). By December 2019, the three outcomes were not significantly different from expected levels. In the stratified analysis, compared with the contemporaneous counterfactual, mean CD4 at ART initiation showed significant increases in Northern China (+ 3.3%, IRR = 1.033, 95% CI: 1.001–1.065; P = 0.041) and Northeastern China (+ 8.0%, IRR = 1.080, 95% CI: 1.003–1.164; P = 0.042) in the first month of treat-all; mean estimated time from infection to diagnosis showed significant increases in male (+ 5.6%, IRR = 1.056, 95% CI: 1.010–1.104; P = 0.016), female (+ 14.8%, IRR = 1.148, 95% CI: 1.062–1.240; P < 0.001), aged 26–35 (+ 5.3%, IRR = 1.053, 95% CI: 1.001–1.109; P = 0.048) and > 50 (+ 7.8%, IRR = 1.078, 95% CI: 1.000–1.161; P = 0.046), heterosexual transmission (+ 12.4%, IRR = 1.124, 95% CI: 1.042–1.213; P = 0.002) and Southwestern China (+ 12.9%, IRR = 1.129, 95% CI: 1.055–1.208; P < 0.001) in the first month of treat-all. CONCLUSIONS: The implementation of treat-all policy in China was associated with a positive effect on HIV care and treatment outcomes. To advance the work of rapid ART, efforts should be made to streamline the testing and ART initiation process, provide comprehensive support services, and address the issue of uneven distribution of medical resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-023-01119-7. |
format | Online Article Text |
id | pubmed-10424386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104243862023-08-15 Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis Wu, Xinsheng Wu, Guohui Ma, Ping Wang, Rugang Li, Linghua Sun, Yinghui Xu, Junjie Li, Yuwei Zhang, Tong Li, Quanmin Yang, Yuecheng Wang, Lijing Xin, Xiaoli Qiao, Ying Fang, Bingxue Lu, Zhen Zhou, Xinyi Chen, Yuanyi Liu, Qi Fu, Gengfeng Wei, Hongxia Huang, Xiaojie Su, Bin Wang, Hui Zou, Huachun Infect Dis Poverty Research Article BACKGROUND: In 2003, China implemented free antiretroviral therapy (ART) for people living with HIV (PLHIV), establishing an eligibility threshold of CD4 < 200 cells/μl. Subsequently, the entry criteria were revised in 2012 (eligibility threshold: CD4 ≤ 350 cells/μl), 2014 (CD4 ≤ 500 cells/μl), and 2016 (treat-all). However, the impact of treat-all policy on HIV care and treatment indicators in China is unknown. We aimed to elucidate the immediate and long-term impact of the implementation of treat-all policy in China. METHODS: Anonymized programmatic data on ART initiation and collection in PLHIV who newly started ART were retrieved between 1 January 2015 and 31 December 2019, from two provincial and municipal Centers for Disease Control and Prevention and ten major infectious disease hospitals specialized in HIV care in China. We used Poisson and quasi-Poisson segmented regression models to estimate the immediate and long-term impact of treat-all on three key indicators: monthly proportion of 30-day ART initiation, mean CD4 counts (cells/μl) at ART initiation, and mean estimated time from infection to diagnosis (year). We built separate models according to gender, age, route of transmission and region. RESULTS: Monthly data on ART initiation and collection were available for 75,516 individuals [gender: 83.8% males; age: median 39 years, interquartile range (IQR): 28–53; region: 18.5% Northern China, 10.9% Northeastern China, 17.5% Southern China, 49.2% Southwestern China]. In the first month of treat-all, compared with the contemporaneous counterfactual, there was a significant increase in proportion of 30-day ART initiation [+ 12.6%, incidence rate ratio (IRR) = 1.126, 95% CI: 1.033–1.229; P = 0.007] and mean estimated time from infection to diagnosis (+ 7.0%, IRR = 1.070, 95% CI: 1.021–1.120; P = 0.004), while there was no significant change in mean CD4 at ART initiation (IRR = 0.990, 95% CI: 0.956–1.026; P = 0.585). By December 2019, the three outcomes were not significantly different from expected levels. In the stratified analysis, compared with the contemporaneous counterfactual, mean CD4 at ART initiation showed significant increases in Northern China (+ 3.3%, IRR = 1.033, 95% CI: 1.001–1.065; P = 0.041) and Northeastern China (+ 8.0%, IRR = 1.080, 95% CI: 1.003–1.164; P = 0.042) in the first month of treat-all; mean estimated time from infection to diagnosis showed significant increases in male (+ 5.6%, IRR = 1.056, 95% CI: 1.010–1.104; P = 0.016), female (+ 14.8%, IRR = 1.148, 95% CI: 1.062–1.240; P < 0.001), aged 26–35 (+ 5.3%, IRR = 1.053, 95% CI: 1.001–1.109; P = 0.048) and > 50 (+ 7.8%, IRR = 1.078, 95% CI: 1.000–1.161; P = 0.046), heterosexual transmission (+ 12.4%, IRR = 1.124, 95% CI: 1.042–1.213; P = 0.002) and Southwestern China (+ 12.9%, IRR = 1.129, 95% CI: 1.055–1.208; P < 0.001) in the first month of treat-all. CONCLUSIONS: The implementation of treat-all policy in China was associated with a positive effect on HIV care and treatment outcomes. To advance the work of rapid ART, efforts should be made to streamline the testing and ART initiation process, provide comprehensive support services, and address the issue of uneven distribution of medical resources. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-023-01119-7. BioMed Central 2023-08-14 /pmc/articles/PMC10424386/ /pubmed/37580822 http://dx.doi.org/10.1186/s40249-023-01119-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Wu, Xinsheng Wu, Guohui Ma, Ping Wang, Rugang Li, Linghua Sun, Yinghui Xu, Junjie Li, Yuwei Zhang, Tong Li, Quanmin Yang, Yuecheng Wang, Lijing Xin, Xiaoli Qiao, Ying Fang, Bingxue Lu, Zhen Zhou, Xinyi Chen, Yuanyi Liu, Qi Fu, Gengfeng Wei, Hongxia Huang, Xiaojie Su, Bin Wang, Hui Zou, Huachun Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title | Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title_full | Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title_fullStr | Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title_full_unstemmed | Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title_short | Immediate and long-term outcomes after treat-all among people living with HIV in China: an interrupted time series analysis |
title_sort | immediate and long-term outcomes after treat-all among people living with hiv in china: an interrupted time series analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10424386/ https://www.ncbi.nlm.nih.gov/pubmed/37580822 http://dx.doi.org/10.1186/s40249-023-01119-7 |
work_keys_str_mv | AT wuxinsheng immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT wuguohui immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT maping immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT wangrugang immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT lilinghua immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT sunyinghui immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT xujunjie immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT liyuwei immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT zhangtong immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT liquanmin immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT yangyuecheng immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT wanglijing immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT xinxiaoli immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT qiaoying immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT fangbingxue immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT luzhen immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT zhouxinyi immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT chenyuanyi immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT liuqi immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT fugengfeng immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT weihongxia immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT huangxiaojie immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT subin immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT wanghui immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis AT zouhuachun immediateandlongtermoutcomesaftertreatallamongpeoplelivingwithhivinchinaaninterruptedtimeseriesanalysis |