约翰内斯堡艾滋病患者治疗合并症与HIV病毒抑制的关系

Nwogo Immaculata Ekeji, Tolulope A Osoba, Hebatullah Tawfik, Mehdi Agha
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摘要

艾滋病毒在全球感染了3790多万人,其中2820万人(73%)正在接受抗逆转录病毒治疗,66%接受治疗的人的病毒受到抑制。然而,在南非,艾滋病毒感染者的病毒抑制率低(47%)是一个主要的健康问题,继续助长艾滋病毒的流行。采用横断面定量研究设计来调查约翰内斯堡18-49岁患有糖尿病、癌症或结核病的hiv感染成年人的治疗合并症与病毒抑制之间的关系。HIV Care Continuum构成了本研究的理论框架。现有的hiv感染患者去识别数据集(<em>n</em>= 602)进行描述性和逻辑回归分析。结果显示结核治疗与病毒抑制调整后的<em>OR</em>= 1.534 (1.053, 2.234), & lt; em>术中;/ em>= 0.02,表明治疗合并症,如结核病,对病毒抑制结果有积极影响。然而,结果显示,糖尿病治疗和病毒抑制模型- OR<= 0.993 (0.658, 1.498), & lt; em>术中;/ em>= 0.97,肿瘤治疗和病毒抑制模型-<em>OR</em>= 1.234, (0.844, 1.805), <em>p</em>= 0.27,无统计学意义。治疗合并症,如结核病和艾滋病毒,对病毒抑制结果有积极影响。这些发现表明,对合并症的并发、同步或综合治疗模式有助于实现HIV病毒抑制。这项研究通过强调在资源不足的环境中治疗合并症对艾滋病毒感染者(PLWHIV)病毒抑制的影响,有助于积极的社会变革,这可能为艾滋病毒护理和管理的政策提供信息并影响决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship Between Treatment Comorbidities and HIV Viral Suppression Among People Who Live With AIDS in Johannesburg.
HIV has globally infected over 37.9 million people, of which 28.2 million (73%) are on antiretroviral treatment, and 66% of those on treatment are virally suppressed. In South Africa, however, low rate of viral suppression (47%) among people living with HIV is a major health problem that has continued to fuel HIV prevalence. A cross-sectional quantitative research design was used to investigate the relationship between treatment comorbidities and viral suppression among HIV-infected adults aged 18–49 who were diabetic, had cancer, or tuberculosis in Johannesburg. HIV Care Continuum formed the theoretical framework for this research. An existing HIV-infected patient de-identifiable dataset (n = 602) was used for the descriptive and logistic regression analysis. Results revealed a statistically significant association between tuberculosis treatment and viral suppression—adjusted OR = 1.534, (1.053, 2.234), and p = 0.02—indicating that treatment of comorbidities, such as tuberculosis, has positive impact on viral suppression outcomes. Results, however, revealed that the model for diabetes treatment and viral suppression—OR = 0.993, (0.658, 1.498), and p = 0.97—and the model for cancer treatment and viral suppression—OR= 1.234, (0.844, 1.805), and p = 0.27—were not statistically significant. Treatment of comorbidities, such as TB and HIV, positively impacts viral suppression outcomes. These findings suggested that concurrent, simultaneous, or integrated treatment models for comorbidities can help to achieve HIV viral suppression. This study contributes to positive social change by highlighting the effect of treatment comorbidities on viral suppression in people living with HIV (PLWHIV) in an under-resourced setting, which could inform policy and influence decisions on HIV care and management.
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