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What drives mortality among HIV patients in a conflict setting? A prospective cohort study in the Central African Republic

机译:在冲突环境中,艾滋病毒患者中的死亡率是什么?中非共和国的一项潜在队列研究

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Background:Provision of antiretroviral therapy (ART) during conflict settings is rarely attempted and little is known about the expected patterns of mortality. The Central African Republic (CAR) continues to have a low coverage of ART despite an estimated 110,000 people living with HIV and 5000 AIDS-related deaths in 2018. We present results from a cohort in Zemio, Haut-Mboumou prefecture. This region had the highest prevalence of HIV nationally (14.8% in a 2010 survey), and was subject to repeated attacks by armed groups on civilians during the observed period.Methods:Conflict from armed groups can impact cohort mortality rates i) directly if HIV patients are victims of armed conflict, or ii) indirectly if population displacement or fear of movement reduces access to ART. Using monthly counts of civilian deaths, injuries and abductions, we estimated the impact of the conflict on patient mortality. We also determined patient-level risk factors for mortality and how the risk of mortality varies with time spent in the cohort. Model-fitting was performed in a Bayesian framework, using logistic regression with terms accounting for temporal autocorrelation.Results:Patients were recruited and observed?in the HIV treatment program from October 2011 to May 2017. Overall 1631 patients were enrolled and 1628 were included in the analysis giving 48,430 person-months at risk and 145 deaths. The crude mortality rate after 12 months was 0.92 (95% CI 0.90, 0.93). Our model showed that patient mortality did not increase during periods of heightened conflict; the odds ratios (OR) 95% credible interval (CrI) for i) civilian fatalities and injuries, and ii) civilian abductions on patient mortality both spanned unity. The risk of mortality for individual patients was highest in the second month after entering the cohort, and declined seven-fold over the first 12 months. Male sex was associated with a higher mortality (odds ratio 1.70 [95% CrI 1.20, 2.33]) along with the severity of opportunistic infections (OIs) at baseline (OR 2.52; 95% CrI 2.01, 3.23 for stage 2 OIs compared with stage 1).Conclusions:Our results show that chronic conflict did not appear to adversely affect rates of mortality in this cohort, and that mortality was driven predominantly by patient-specific risk factors. The risk of mortality and recovery of CD4 T-cell counts observed in this conflict setting are comparable to those in stable resource poor settings, suggesting that conflict should not be a barrier in access to ART.? The Author(s). 2019.
机译:背景技术:在冲突环境中提供抗逆转录病毒治疗(艺术品)很少尝试,并且关于死亡率的预期模式知之甚少。尽管2018年估计有110,000名艾滋病有关的死亡人员,中非共和国(Car)仍然覆盖艺术的覆盖率很低。我们在Haut-Mboumou州Zemio队列的队列队伍提出了结果。该地区全国艾滋病毒患病率最高(2010年调查14.8%),在观察期内,武装团体对平民的反复袭击。方法:来自武装团体的冲突会直接影响裁决死亡率i)如果艾滋病毒患者是武装冲突的受害者,也是II)间接,如果人口流离失所或对运动的恐惧减少了对艺术的访问。利用平民死亡人数,伤害和施工的月度计数,我们估计了冲突对患者死亡率的影响。我们还确定了死亡率的患者水平危险因素以及死亡风险如何随着队列所花费的时间而变化。模型拟合在贝叶斯框架中进行,使用逻辑回归与临时自相关的术语核算。结果:患者在2011年10月至2017年5月到2017年10月的艾滋病毒治疗计划中。总共招募了1631名患者,并入了1628名患者。分析在风险和145人死亡中达到48,430个月。 12个月后的原油死亡率为0.92(95%CI 0.90,0.93)。我们的模型显示,在加剧冲突期间的患者死亡率并未增加;持续赔率(或)95%可信的间隔(CRI)为i)平民死亡和伤害,而ii)患有患者死亡率的平民均跨越统一。在进入队列后,个体患者的死亡率的风险最高,并在前12个月内下降了七倍。男性性别与较高的死亡率(差距1.70 [95%CRI 1.20,2.33])以及基线的机会感染(OIS)的严重程度(或2.52; 95%CRI 2.01,3.23与阶段相比) 1)。结论:我们的结果表明,慢性冲突似乎没有对该队列中的死亡率产生不利影响,并且死亡率主要受患者特异性风险因素的推动。在这种冲突环境中观察到的CD4 T细胞计数的死亡率和复苏的风险与稳定资源差的环境中的那些相当,这表明冲突不应该是访问艺术的障碍。作者。 2019年。

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