Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study

ZHU Jin Hui RUAN Yu Hua PAN Stephen YANG Wen Min ZHU Qiu Ying CHEN Huan Huan SHEN Zhi Yong LAN Guang Hua XING Hui SHAO Yi Ming LI Li Ming

ZHU Jin Hui, RUAN Yu Hua, PAN Stephen, YANG Wen Min, ZHU Qiu Ying, CHEN Huan Huan, SHEN Zhi Yong, LAN Guang Hua, XING Hui, SHAO Yi Ming, LI Li Ming. Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(8): 646-649. doi: 10.3967/bes2021.090
Citation: ZHU Jin Hui, RUAN Yu Hua, PAN Stephen, YANG Wen Min, ZHU Qiu Ying, CHEN Huan Huan, SHEN Zhi Yong, LAN Guang Hua, XING Hui, SHAO Yi Ming, LI Li Ming. Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(8): 646-649. doi: 10.3967/bes2021.090

doi: 10.3967/bes2021.090

Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study

Funds: This study was supported by the Guangxi Medical and Health Project [Z20170126]; the National Natural Science Foundation of China [Grant numbers 11971479, 81502862, 81460510, 81360442, and 91546203]; Guangxi Science and Technology Bureau [Grant number AB16380213]; Guangxi Bagui Honor Scholarship, Ministry of Science and Technology of China [2018ZX10721102-006 and 2017ZX10201101]; and Guangxi Key Laboratory of AIDS Prevention Control and Translation, and Chinese State Key Laboratory of Infectious Disease Prevention and Control
More Information
    Author Bio:

    ZHU Jin Hui, male, born in 1982, MD, majoring in HIV/AIDS control and prevention

    Corresponding author: LI Li Ming, MD, Prof, E-mail: lmlee@vip.163.com
  • S1.   Characteristics of patients with HIV started ART in Guangxi, China, 2010–2015

    VariableNumber%
    Total45,213100.0
    Age, years
     18–5027,71761.3
     ≥ 5017,49638.7
    Sex
     Male30,27767.0
     Female14,93633.0
    Marital status
     Single6,84315.1
     Married or cohabitation31,27769.2
     Other7,09315.7
    Route of HIV transmission
     Heterosexual intercourse39,96388.4
     Homosexual intercourse3,3867.5
     Intravenous drug use8671.9
     Other9972.2
    CD4 cell count (cells/mm3) before ART
     < 20025,33456.0
     200–34913,93430.8
     350–4994,3629.7
     ≥ 5001,5833.5
    WHO clinical stage before ART
     I/II26,43458.5
     III/IV18,77941.5
    Initial ART regimen
     The first-line ART containing D4T8,01417.7
     The first-line ART containing AZT18,76441.5
     The first-line ART containing TDF13,69830.3
     The first-line ART containing LPV/r4,3539.6
     Other3840.9
    Year of ART initiation
     20105,67312.6
     20117,60516.8
     20129,06220.0
     20138,62919.1
     20149,26720.5
     20154,97711.0
    下载: 导出CSV

    Table  1.   Effects of cotrimoxazole prophylaxis use during the first 6 months of ART on death among HIV-infected patients in Guangxi, China, 2010–2015, by CD4 cell count (cells/mm3) before ART

    CD4 cell count
    (cells/mm3)
    before ART
    NumberDeathsPerson-yearsDeaths/100
    person-years
    (95% CI)
    HR
    (95% CI)
    P-valueAHR*
    (95% CI)
    P-value
    Total45,2133,421117047.442.92 (2.83–3.02)
    CD4 < 20025,3342,65067143.323.95 (3.80–4.09)
     No+7,5871,15819368.725.98 (5.64–6.31)ReferenceReference
     Yes+17,7471,49247774.603.12 (2.97–3.28)0.51 (0.47–0.55)< 0.0010.52 (0.48–0.57)< 0.001
    CD4 200–34913,93464037582.081.70 (1.57–1.83)
     No+13,01657934997.771.65 (1.52–1.79)ReferenceReference
     Yes+918612584.312.36 (1.78–2.94)1.45 (1.11–1.89)0.0061.14 (0.87–1.50)0.330
    CD4 ≥ 3505,94513112322.031.06 (0.89–1.24)
     No+5,77312211927.941.02 (0.94–1.11)ReferenceReference
     Yes+1729394.092.28 (0.83–3.74)2.16 (1.10–4.26)0.0261.58 (0.77–3.22)0.209
      Note. +No, did not start cotrimoxazole during the first 6 months of ART; Yes, did start cotrimoxazole during the first 6 months of ART. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.
    下载: 导出CSV

    Table  2.   Effects of cotrimoxazole prophylaxis use during the first 6 months of ART on attrition among patients with HIV in Guangxi, China, 2010–2015, by CD4 cell count (cells/mm3) before ART

    CD4 cell count
    (cells/mm3)
    before ART
    NumberAttritionsPerson-yearsAttritions/100
    person-years
    (95% CI)
    HR
    (95% CI)
    P-valueAHR*
    (95% CI)
    P-value
    Total45,21311,156117047.449.53 (9.36–9.70)
    CD4 < 20025,3346,11967143.329.11 (8.89–9.34)
     No+7,5872,37719368.7212.27 (11.79–12.75)ReferenceReference
     Yes+17,7473,74247774.607.83 (7.59–8.08)0.62 (0.59–0.65)< 0.0010.63 (0.59–0.66)< 0.001
    CD4 200–34913,9343,63137582.089.66 (9.36–9.97)
     No+13,0163,40734997.779.73 (9.42–10.05)ReferenceReference
     Yes+9182242584.318.67 (7.56–9.77)0.92 (0.81–1.06)0.2370.87 (0.76–1.00)0.047
    CD4 ≥ 3505,9451,40612322.0311.41 (10.83–11.99)
     No+5,7731,37111927.9411.49 (11.21–11.78)ReferenceReference
     Yes+17235394.098.88 (6.01–11.75)0.81 (0.58–1.14)0.2300.81 (0.57–1.14)0.219
      Note. +No, did not start cotrimoxazole during the first 6 months of ART; Yes, did start cotrimoxazole during the first 6 months of ART. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.
    下载: 导出CSV

    S2.   Effects of cotrimoxazole prophylaxis use every 6 months after ART initiation on mortality among patients with HIV in Guangxi, China, 2010–2015, with CD4 cell counts (cells/mm3) of < 200 before ART

    VariableNumberDeathsPerson-yearsDeaths/100
    person-years
    (95% CI)
    HR (95% CI)P-valueAHR* (95% CI)P-value
    Cotrimoxazole prophylaxis
    use during the first 6 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 6 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the second 6
    months of ART
    9,81549129420.091.67 (1.52–1.81)
     Yes No3,2402719953.942.72 (2.41–3.04)ReferenceReference
     Yes Yes6,57522019466.151.13 (0.98–1.28)0.39 (0.33–0.47)< 0.0010.39 (0.32–0.46)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 12 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 12 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the third 6
    months of ART
    4,80715214599.211.04 (0.88–1.2)
     Yes No1,272553458.291.59 (1.18–2.00)ReferenceReference
     Yes Yes3,5359711140.930.87 (0.70–1.04)0.48 (0.35–0.67)< 0.0010.44 (0.31–0.61)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 18 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 18 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fourth 6
    months of ART
    2,816799470.820.83 (0.65–1.01)
     Yes No804352440.351.43 (0.97–1.9)ReferenceReference
     Yes Yes2,012447030.470.63 (0.45–0.81)0.38 (0.25–0.60)< 0.0010.28 (0.17–0.44)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 24 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 24 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fifth 6
    months of ART
    1,531305331.450.56 (0.37–0.76)
     Yes No545161588.361.01 (0.78–1.24)ReferenceReference
     Yes Yes986143743.090.37 (0.18–0.57)0.25 (0.12–0.51)< 0.0010.23 (0.11–0.47)< 0.001
      Note. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.
    下载: 导出CSV

    S3.   Effects of cotrimoxazole prophylaxis use every 6 months after ART initiation on attrition among patients with HIV in Guangxi, China, 2010–2015, with CD4 cell counts (cells/mm3) of < 200 before ART

    VariableNumberAttritionsPerson-yearsAttritions/100
    person-years
    (95% CI)
    HR (95% CI)P-valueAHR* (95% CI)P-value
    Cotrimoxazole prophylaxis
    use during the first 6 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 6 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the second 6
    months of ART
    9,8151,65929420.095.64 (5.37–5.90)
     Yes No3,2408729953.948.76 (8.19–9.33)ReferenceReference
     Yes Yes6,57578719466.154.04 (3.77–4.32)0.44 (0.40–0.48)< 0.0010.43 (0.39–0.48)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 12 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 12 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the third 6
    months of ART
    4,80749114599.213.36 (3.07–3.65)
     Yes No1,2721783458.295.15 (4.41–5.88)ReferenceReference
     Yes Yes3,53531311140.932.81 (2.51–3.11)0.47 (0.39–0.57)< 0.0010.46 (0.38–0.55)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 18 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 18 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fourth 6
    months of ART
    2,8162509470.822.64 (2.32–2.96)
     Yes No8041002440.354.10 (3.31–4.88)ReferenceReference
     Yes Yes2,0121507030.472.13 (1.80–2.47)0.44 (0.34–0.56)< 0.0010.39 (0.30–0.50)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 24 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 24 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fifth 6
    months of ART
    1,531975331.451.82 (1.47–2.17)
     Yes No545291588.361.83 (1.52–2.13)ReferenceReference
     Yes Yes986683743.091.82 (1.40–2.24)0.68 (0.44–1.05)0.0810.62 (0.40–0.97)0.037
      Note. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.
    下载: 导出CSV
  • [1] Jose S, Delpech V, Howarth A, et al. A continuum of HIV care describing mortality and loss to follow-up: a longitudinal cohort study. Lancet HIV, 2018; 5, e301−8. doi:  10.1016/S2352-3018(18)30048-1
    [2] Liu PT, Tang ZZ, Lan GH, et al. Early antiretroviral therapy on reducing HIV transmission in China: strengths, weaknesses and next focus of the program. Sci Rep, 2018; 8, 3431. doi:  10.1038/s41598-018-21791-2
    [3] Pan SW, Shen ZY, Xing H, et al. High baseline CD4 counts and antiretroviral therapy cessation. Clin Infect Dis, 2018; 67, 644. doi:  10.1093/cid/ciy131
    [4] Mekonnen GB, Addis SA. Factors affecting adherence to co-trimoxazole preventive therapy in HIV/AIDS patients attending an antiretroviral therapy clinic in Ethiopia university hospital: a cross-sectional study. Patient Prefer Adherence, 2020; 14, 881−90. doi:  10.2147/PPA.S252805
    [5] Ku SWW, Jiamsakul A, Joshi K, et al. Cotrimoxazole prophylaxis decreases tuberculosis risk among Asian patients with HIV. J Int AIDS Soc, 2019; 22, e25264. doi:  10.1002/jia2.25264
    [6] Polyak CS, Yuhas K, Singa B, et al. Cotrimoxazole prophylaxis discontinuation among antiretroviral-treated HIV-1-Infected adults in Kenya: a randomized non-inferiority trial. PLoS Med, 2016; 13, e1001934. doi:  10.1371/journal.pmed.1001934
    [7] Jiang JJ, Qin FX, Meng SR, et al. Effects of cotrimoxazole prophylaxis on Talaromyces marneffei infection in HIV/AIDS patients receiving antiretroviral therapy: a retrospective cohort study. Emerg Microbes Infect, 2019; 8, 367−76. doi:  10.1080/22221751.2019.1588078
    [8] Orishaba P, Kalyango JN, Byakika-Kibwika P, et al. Increased malaria parasitaemia among adults living with HIV who have discontinued cotrimoxazole prophylaxis in Kitgum district, Uganda. PLoS One, 2020; 15, e0240838. doi:  10.1371/journal.pone.0240838
    [9] Mecha JO, Kubo EN, Nganga LW, et al. Trends, treatment outcomes, and determinants for attrition among adult patients in care at a large tertiary HIV clinic in Nairobi, Kenya: a 2004-2015 retrospective cohort study. HIV/AIDS-Res Palliat, 2018; 10, 103−14. doi:  10.2147/HIV.S153185
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Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study

doi: 10.3967/bes2021.090
    基金项目:  This study was supported by the Guangxi Medical and Health Project [Z20170126]; the National Natural Science Foundation of China [Grant numbers 11971479, 81502862, 81460510, 81360442, and 91546203]; Guangxi Science and Technology Bureau [Grant number AB16380213]; Guangxi Bagui Honor Scholarship, Ministry of Science and Technology of China [2018ZX10721102-006 and 2017ZX10201101]; and Guangxi Key Laboratory of AIDS Prevention Control and Translation, and Chinese State Key Laboratory of Infectious Disease Prevention and Control
    作者简介:

    ZHU Jin Hui, male, born in 1982, MD, majoring in HIV/AIDS control and prevention

    通讯作者: LI Li Ming, MD, Prof, E-mail: lmlee@vip.163.com

English Abstract

ZHU Jin Hui, RUAN Yu Hua, PAN Stephen, YANG Wen Min, ZHU Qiu Ying, CHEN Huan Huan, SHEN Zhi Yong, LAN Guang Hua, XING Hui, SHAO Yi Ming, LI Li Ming. Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(8): 646-649. doi: 10.3967/bes2021.090
Citation: ZHU Jin Hui, RUAN Yu Hua, PAN Stephen, YANG Wen Min, ZHU Qiu Ying, CHEN Huan Huan, SHEN Zhi Yong, LAN Guang Hua, XING Hui, SHAO Yi Ming, LI Li Ming. Effects of Cotrimoxazole Prophylaxis Initiation and Discontinuation on Mortality and Attrition Rates among HIV Patients Who Initiate ART in Southwest China: An Observational Cohort Study[J]. Biomedical and Environmental Sciences, 2021, 34(8): 646-649. doi: 10.3967/bes2021.090
  • Combination antiretroviral therapy (ART) reduced AIDS-related mortality and increased survival among patients living with HIV by interrupting HIV replication, enhancing immune recovery, and preventing the onset of opportunistic infections[1]. In China, ART has rapidly been scaled up since the beginning of the National Free Antiretroviral Treatment Program (NFATP) in 2003[2]. By the end of 2016, 489,411 individuals diagnosed with HIV were receiving free antiretroviral treatment in China. China is firmly committed to reducing overall AIDS-related mortality and HIV incidence within the country. However, similar to other low- and middle-income countries, the NFATP is challenged by high mortality and attrition shortly after patients initiate ART[3].

    Cotrimoxazole prophylaxis is a combination of the antibiotics, trimethoprim and sulfamethoxazole, and is used to treat a variety of bacterial, fungal, and protozoan infections, including Pneumocystis jirovecii pneumonia, malaria, and cerebral toxoplasmosis[4]. In order to reduce the risk of AIDS-associated opportunistic infections, cotrimoxazole prophylaxis is recommended by the World Health Organization (WHO) for HIV-infected patients with severe or advanced HIV clinical disease (WHO stage 3 or 4), with a CD4 count of less than 350 or 200 cells/mm3 (depending on the region)[5]. An earlier study reported, most of them being conducted in settings where malaria or severe bacterial infections were highly prevalent, that cotrimoxazole prophylaxis reduced early mortality after ART initiation in low- and middle-income countries[6]. Further research is urgently needed to assess how cotrimoxazole prophylaxis impacts mortality in the context of expanded ART policies in different epidemiological settings. In China, cotrimoxazole prophylaxis has been provided to patients with HIV exhibiting a CD4 cell count of < 200 cells/mm3 or several opportunistic infections[7].

    This HIV treatment observational cohort study was conducted in Guangxi Zhuang Autonomous Region of Southwest China, one of the top five provinces with the highest incidences of HIV cases in China (Sichuan, Yunan, Guangdong, Guangxi, and Guizhou). Eligibility criteria for the study participants included the enrollment into the NFATP between 2010–2015, age 18 years or older at the time of ART initiation, and ability to provide informed consent. The cohort study data was extracted from the NFATP database and data were censored on June 30, 2016. Ethical review and all methods were approved by the institutional review board (IRB) of the Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention.

    The baseline characteristics of the study participants included age, sex, marital status, route of HIV infection, CD4 count before ART, WHO clinical stage before ART, initial ART regimen, and year of ART initiation. The follow-up characteristics of the study participants included cotrimoxazole prophylaxis use, duration of ART, survival status, transferals to another clinic, cessation of ART, and loss to follow-up. The documentation of cotrimoxazole prophylaxis administration in the NFATP began in 2010. Loss to follow-up was defined as being absent for more than 90 days after the last appointment in an ART clinic, also defined as the date of withdrawal. Additional details concerning the Chinese national HIV treatment cohort study databases have been previously described[2,3].

    We performed a time-to-event cohort analysis. The primary study endpoints were mortality and attrition. Attrition was defined as a loss to follow-up or cessation of ART as recorded in the NFATP database. Cox proportional hazard models were used to assess the effects of cotrimoxazole prophylaxis use during the first 6 months of ART on mortality and attrition among patients with HIV who initiated ART, stratified by the CD4 cell count (cells/mm3) before ART, and to assess the effects of cotrimoxazole prophylaxis discontinuation during the second, third, fourth, and fifth 6 months post-ART initiation on mortality and attrition among HIV patients who started ART with a CD4 cell count (cells/mm3) of < 200 before ART and also initiated cotrimoxazole during the first 6 months of ART. The effects of cotrimoxazole prophylaxis discontinuation on mortality and attrition were examined by comparing the following periods: the second 6 months of ART vs. the first 6 months of ART and the CD4 cell count (cells/mm3) of < 200 during the 6 months of ART, the third 6 months of ART vs. the first 12 months of ART and the CD4 cell count (cells/mm3) of < 200 during the 12 months of ART, the fourth 6 months of ART vs. the first 18 months of ART and the CD4 cell count (cells/mm3) of < 200 during the 18 months of ART, and the fifth 6 months of ART vs. the first 24 months of ART and the CD4 cell count (cells/mm3) of < 200 during the 24 months of ART. The following baseline covariates were included in the adjusted model: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regimen, and year of ART initiation. Time zero for the above-described data was defined as the date of the first 6, 12, 18, and 24 months of post-ART initiation, respectively. Two-sided P-values of ≤ 0.05 were considered statistically significant. We used the Statistical Analysis System (SAS 9.1TM for Windows; SAS Institute Inc., NC, USA) for all data analyses.

    A total of 45,213 study participants entered this HIV treatment cohort study analysis. Participant baseline characteristics are presented in Supplementary Table S1, available in www.besjournal.com. The proportions of patients with CD4 cell counts < 200, 200–349, 350–499, and ≥ 500 cells/mm3 were 56.0%, 30.8%, 9.7%, and 3.5%, respectively. During the study follow-up, 3,421 deaths were observed, 4,363 patients were lost to the follow-up, and 1,756 patients stopped ART.

    Table S1.  Characteristics of patients with HIV started ART in Guangxi, China, 2010–2015

    VariableNumber%
    Total45,213100.0
    Age, years
     18–5027,71761.3
     ≥ 5017,49638.7
    Sex
     Male30,27767.0
     Female14,93633.0
    Marital status
     Single6,84315.1
     Married or cohabitation31,27769.2
     Other7,09315.7
    Route of HIV transmission
     Heterosexual intercourse39,96388.4
     Homosexual intercourse3,3867.5
     Intravenous drug use8671.9
     Other9972.2
    CD4 cell count (cells/mm3) before ART
     < 20025,33456.0
     200–34913,93430.8
     350–4994,3629.7
     ≥ 5001,5833.5
    WHO clinical stage before ART
     I/II26,43458.5
     III/IV18,77941.5
    Initial ART regimen
     The first-line ART containing D4T8,01417.7
     The first-line ART containing AZT18,76441.5
     The first-line ART containing TDF13,69830.3
     The first-line ART containing LPV/r4,3539.6
     Other3840.9
    Year of ART initiation
     20105,67312.6
     20117,60516.8
     20129,06220.0
     20138,62919.1
     20149,26720.5
     20154,97711.0

    The overall mortality rate was 2.92 [95% class interval (CI): 2.83–3.02] per 100 person-years (PY). The mortality rate in patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 before ART who did not and did use cotrimoxazole prophylaxis during the first 6 months of ART was 5.98 and 3.12 per 100 PY (P < 0.001), respectively. In the adjusted models, cotrimoxazole prophylaxis use during the first 6 months of ART among patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 before ART was associated with a significant reduction in mortality [compared to the lack of cotrimoxazole prophylaxis use during the first 6 months of ART, adjusted hazard ratio (AHR) = 0.52, 95% CI: 0.48–0.57]. Among the patients with HIV exhibiting CD4 cell counts (cells/mm3) of 200–349 and ≥ 350 before ART, the cotrimoxazole prophylaxis use during the first 6 months of ART was not significantly associated with a reduction in mortality (Table 1). Cotrimoxazole prophylaxis use during the second, third, fourth, and fifth 6 months of ART were all associated with a significant reduction in mortality (compared to only using cotrimoxazole prophylaxis during the first 6 months of ART and CD4 cell count (cells/mm3) of < 200 at 6 months of ART). Our study showed that continued cotrimoxazole prophylaxis use during the first 30 months of ART among HIV patients with CD4 cell count (cells/mm3) of < 200 was significantly associated with a reduction in mortality, although no apparent reduction in mortality could be observed when cotrimoxazole prophylaxis was initiated among patients with HIV exhibiting a CD4 cell count (cells/mm3) of ≥ 200 after 6 months of ART. Recent research suggests that HIV patients should not discontinue cotrimoxazole prophylaxis in regions with a high burden of infectious diseases, such as pneumonia, malaria, and diarrhea, which might have limited generalizability in China[8]. Our study provides compelling empirical evidence regarding the adoption, continuation, and discontinuation of cotrimoxazole prophylaxis use among patients with HIV after ART in China (Table 2 and Supplementary Table S2, available in www.besjournal.com).

    Table 1.  Effects of cotrimoxazole prophylaxis use during the first 6 months of ART on death among HIV-infected patients in Guangxi, China, 2010–2015, by CD4 cell count (cells/mm3) before ART

    CD4 cell count
    (cells/mm3)
    before ART
    NumberDeathsPerson-yearsDeaths/100
    person-years
    (95% CI)
    HR
    (95% CI)
    P-valueAHR*
    (95% CI)
    P-value
    Total45,2133,421117047.442.92 (2.83–3.02)
    CD4 < 20025,3342,65067143.323.95 (3.80–4.09)
     No+7,5871,15819368.725.98 (5.64–6.31)ReferenceReference
     Yes+17,7471,49247774.603.12 (2.97–3.28)0.51 (0.47–0.55)< 0.0010.52 (0.48–0.57)< 0.001
    CD4 200–34913,93464037582.081.70 (1.57–1.83)
     No+13,01657934997.771.65 (1.52–1.79)ReferenceReference
     Yes+918612584.312.36 (1.78–2.94)1.45 (1.11–1.89)0.0061.14 (0.87–1.50)0.330
    CD4 ≥ 3505,94513112322.031.06 (0.89–1.24)
     No+5,77312211927.941.02 (0.94–1.11)ReferenceReference
     Yes+1729394.092.28 (0.83–3.74)2.16 (1.10–4.26)0.0261.58 (0.77–3.22)0.209
      Note. +No, did not start cotrimoxazole during the first 6 months of ART; Yes, did start cotrimoxazole during the first 6 months of ART. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.

    Table 2.  Effects of cotrimoxazole prophylaxis use during the first 6 months of ART on attrition among patients with HIV in Guangxi, China, 2010–2015, by CD4 cell count (cells/mm3) before ART

    CD4 cell count
    (cells/mm3)
    before ART
    NumberAttritionsPerson-yearsAttritions/100
    person-years
    (95% CI)
    HR
    (95% CI)
    P-valueAHR*
    (95% CI)
    P-value
    Total45,21311,156117047.449.53 (9.36–9.70)
    CD4 < 20025,3346,11967143.329.11 (8.89–9.34)
     No+7,5872,37719368.7212.27 (11.79–12.75)ReferenceReference
     Yes+17,7473,74247774.607.83 (7.59–8.08)0.62 (0.59–0.65)< 0.0010.63 (0.59–0.66)< 0.001
    CD4 200–34913,9343,63137582.089.66 (9.36–9.97)
     No+13,0163,40734997.779.73 (9.42–10.05)ReferenceReference
     Yes+9182242584.318.67 (7.56–9.77)0.92 (0.81–1.06)0.2370.87 (0.76–1.00)0.047
    CD4 ≥ 3505,9451,40612322.0311.41 (10.83–11.99)
     No+5,7731,37111927.9411.49 (11.21–11.78)ReferenceReference
     Yes+17235394.098.88 (6.01–11.75)0.81 (0.58–1.14)0.2300.81 (0.57–1.14)0.219
      Note. +No, did not start cotrimoxazole during the first 6 months of ART; Yes, did start cotrimoxazole during the first 6 months of ART. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.

    Table S2.  Effects of cotrimoxazole prophylaxis use every 6 months after ART initiation on mortality among patients with HIV in Guangxi, China, 2010–2015, with CD4 cell counts (cells/mm3) of < 200 before ART

    VariableNumberDeathsPerson-yearsDeaths/100
    person-years
    (95% CI)
    HR (95% CI)P-valueAHR* (95% CI)P-value
    Cotrimoxazole prophylaxis
    use during the first 6 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 6 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the second 6
    months of ART
    9,81549129420.091.67 (1.52–1.81)
     Yes No3,2402719953.942.72 (2.41–3.04)ReferenceReference
     Yes Yes6,57522019466.151.13 (0.98–1.28)0.39 (0.33–0.47)< 0.0010.39 (0.32–0.46)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 12 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 12 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the third 6
    months of ART
    4,80715214599.211.04 (0.88–1.2)
     Yes No1,272553458.291.59 (1.18–2.00)ReferenceReference
     Yes Yes3,5359711140.930.87 (0.70–1.04)0.48 (0.35–0.67)< 0.0010.44 (0.31–0.61)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 18 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 18 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fourth 6
    months of ART
    2,816799470.820.83 (0.65–1.01)
     Yes No804352440.351.43 (0.97–1.9)ReferenceReference
     Yes Yes2,012447030.470.63 (0.45–0.81)0.38 (0.25–0.60)< 0.0010.28 (0.17–0.44)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 24 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 24 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fifth 6
    months of ART
    1,531305331.450.56 (0.37–0.76)
     Yes No545161588.361.01 (0.78–1.24)ReferenceReference
     Yes Yes986143743.090.37 (0.18–0.57)0.25 (0.12–0.51)< 0.0010.23 (0.11–0.47)< 0.001
      Note. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.

    The overall attrition rate was 9.53 (95% CI: 9.36–9.70) per 100 PY. Attrition rates in patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 before ART who did not and did use cotrimoxazole prophylaxis during the first 6 months of ART were 12.27 and 7.83 per 100 PY (P < 0.001), respectively. Cotrimoxazole prophylaxis use during the first 6 months of ART among patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 before ART was associated with a significant reduction in the attrition rate (compared to the lack of cotrimoxazole prophylaxis use during the first 6 months of ART, AHR = 0.63, 95% CI: 0.59–0.66); cotrimoxazole prophylaxis use during the first 6 months of ART among patients with HIV exhibiting CD4 cell counts (cells/mm3) 200–349 and ≥ 350 before ART were marginally and not significantly associated with the attrition rate, respectively. Cotrimoxazole prophylaxis use during the second, third, fourth, and fifth 6 months of ART was associated with a significant reduction in the attrition rate (compared to only using cotrimoxazole prophylaxis during the first 6 months of ART and a CD4 cell count (cells/mm3) of < 200 at 6 months of ART). Our study showed that continuous cotrimoxazole prophylaxis use during the first 30 months of ART among patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 was significantly associated with lower rates of attrition, suggesting that cotrimoxazole prophylaxis administration should be terminated after ART-induced recovery with a CD4 cell count (cells/mm3) of ≥ 200 since 6 months of ART. Mitigating attrition is imperative in light of previous studies, describing that attrition could be a major cause of adverse HIV treatment outcomes[9]. Cotrimoxazole prophylaxis use could reduce AIDS-associated opportunistic infections, thereby improving quality of life among patients with HIV (Supplementary Table S3, available in www.besjournal.com).

    Table S3.  Effects of cotrimoxazole prophylaxis use every 6 months after ART initiation on attrition among patients with HIV in Guangxi, China, 2010–2015, with CD4 cell counts (cells/mm3) of < 200 before ART

    VariableNumberAttritionsPerson-yearsAttritions/100
    person-years
    (95% CI)
    HR (95% CI)P-valueAHR* (95% CI)P-value
    Cotrimoxazole prophylaxis
    use during the first 6 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 6 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the second 6
    months of ART
    9,8151,65929420.095.64 (5.37–5.90)
     Yes No3,2408729953.948.76 (8.19–9.33)ReferenceReference
     Yes Yes6,57578719466.154.04 (3.77–4.32)0.44 (0.40–0.48)< 0.0010.43 (0.39–0.48)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 12 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 12 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the third 6
    months of ART
    4,80749114599.213.36 (3.07–3.65)
     Yes No1,2721783458.295.15 (4.41–5.88)ReferenceReference
     Yes Yes3,53531311140.932.81 (2.51–3.11)0.47 (0.39–0.57)< 0.0010.46 (0.38–0.55)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 18 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 18 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fourth 6
    months of ART
    2,8162509470.822.64 (2.32–2.96)
     Yes No8041002440.354.10 (3.31–4.88)ReferenceReference
     Yes Yes2,0121507030.472.13 (1.80–2.47)0.44 (0.34–0.56)< 0.0010.39 (0.30–0.50)< 0.001
    Cotrimoxazole prophylaxis
    use during the first 24 months
    of ART and CD4 cell count
    (cells/mm3) < 200 at 24 months
    of ART
    Cotrimoxazole
    prophylaxis use
    during the fifth 6
    months of ART
    1,531975331.451.82 (1.47–2.17)
     Yes No545291588.361.83 (1.52–2.13)ReferenceReference
     Yes Yes986683743.091.82 (1.40–2.24)0.68 (0.44–1.05)0.0810.62 (0.40–0.97)0.037
      Note. *HR = hazard ratio; AHR = adjusted hazard ratio; covariates of the adjusted model included: age, sex, marital status, route of HIV infection, WHO clinical stage before ART, initial ART regiment, year of ART initiation.

    Our study has several limitations. First, the data related to cotrimoxazole prophylaxis use were retrieved from an HIV treatment database, which might therefore exhibit inherent biases, such as reporting or recall bias. Second, as we performed an observational cohort study and not a randomization control trial, selection bias in our study might have raised issues, although we controlled for numerous potential baseline confounders in multivariable modeling. Third, our cohort study was conducted in Guangxi, which only represents 13% of all patients with HIV who received ART in China. Therefore, our findings might not be generalizable to China and other countries. Finally, we need to mention that our study did not include patients without ART.

    In conclusion, the results of this large-scale observational cohort support the WHO recommended guidelines indicating that cotrimoxazole should be provided in conjunction with ART to patients with HIV exhibiting a CD4 cell count (cells/mm3) of < 200 in China and other low- and middle-income countries.

    We are grateful to all the staff involved in the experiments and follow-ups.

    Conflicts of Interest The authors have no conflicts of interest to declare. The funders of the study had no role in study design; data collection, analysis, and interpretation; or writing of the paper. The corresponding author has full access to all data in the study and takes final responsibility for the decision to submit for publication.

    Acknowledgments Data in this manuscript were collected by the Guangxi Center for Disease Control and Prevention. Principal investigators for this study included QZ, GL, and ZS. (Guangxi Center for Disease Control and Prevention).

    Author Contribution JZ, YR, PS, YW, and LL were responsible for study design and planning. QZ, ZS, GL, and HC contributed to data collection and management. JZ and YR contributed to data analysis. JZ, YR, SWP, HX, WY, YS, and LL contributed to interpretation of data. JZ, YR, SWP, and LL drafted the manuscript. All authors read and approved the final version of the report.

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