埃塞俄比亚 Dessie 综合专科医院接受抗逆转录病毒疗法的成年 HIV 感染者机会性感染的发生率和预测因素:回顾性随访研究

IF 0.6 Q2 AREA STUDIES
Japan Forum Pub Date : 2022-04-19 eCollection Date: 2022-01-01 DOI:10.2147/HIV.S346182
Kirubel Dagnaw Tegegne, Nigus Cherie, Fentaw Tadesse, Lehulu Tilahun, Mesfine Wudu Kassaw, Gebeyaw Biset
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引用次数: 0

摘要

背景:机会性感染是艾滋病毒感染导致发病和死亡的主要原因。尽管在艾滋病诊断和管理方面取得了进步,但机会性感染的发病率仍然很高。本研究旨在评估埃塞俄比亚艾滋病毒/艾滋病感染者中机会性感染的发病率和预测因素:在德西综合专科医院对 354 例接受抗逆转录病毒治疗的成年艾滋病毒感染者样本进行了回顾性随访研究。研究采用简单随机抽样技术挑选参与者。数据收集格式取自国家抗逆转录病毒疗法接收表和随访表。数据录入和数据分析分别使用 Epi-data 4.6.1 版和 STATA 16 版软件。采用 Cox 比例危险回归模型。Kaplan-Meier 生存曲线用于估算无机会性感染生存时间。为确定机会性感染的预测因素,进行了双变量和多变量 Cox 比例危险回归分析:结果:在总共 354 名艾滋病毒感染者中,有 114 人(32.2%)患上了机会性感染,发病率为每 100 人年 13.5 例(95% CI:10.8-15.6)。世界卫生组织临床疾病晚期(IV)(AHR:2.1(95% CI:1.16,3.8))、卧床不起(AHR:1.66(95% CI:1.04,2.65))、依从性差(AHR:1.7(95% CI:1.1-2.63))和 CD4 细胞计数低(AHR:1.92 95% CI:1.14-3.22)是导致机会性感染的重要预测因素:结论:在埃塞俄比亚的医疗环境中,艾滋病毒/艾滋病的机会性感染仍然是一个重大的公共卫生问题。我们的研究结果表明,机会性感染的发病率很高。此外,艾滋病病毒感染状态 IV 期、卧床不起、CD4 细胞计数低和依从性差也可单独预测艾滋病毒/艾滋病感染者机会性感染发病率的增加/存活时间的缩短。要遏制机会性感染的发病率并改善总体健康状况,就必须及早寻求护理并开始使用 HAART,同时持续跟进患者按时服药的情况。我们强烈建议在这一领域开展进一步的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Incidence and Predictors of Opportunistic Infections Among Adult HIV Infected Patients on Anti-Retroviral Therapy at Dessie Comprehensive Specialized Hospital, Ethiopia: A Retrospective Follow-Up Study.

Background: Opportunistic infections are the major causes for morbidity and mortality due to HIV infections. Despite advances in HIV diagnosis and management, the incidence of opportunistic infections remains high. This study aimed to assess the incidence and predictors of opportunistic infections among persons living with HIV/AIDS in Ethiopia.

Methods: A retrospective follow-up study was conducted on 354 samples of adults living with HIV on antiretroviral therapy at Dessie Comprehensive Specialized Hospital. Simple random sampling technique was used to select study participants. The data collection format was taken from national antiretroviral intake and follow-up forms. Epi-data Version 4.6.1 and STATA Version 16 software were used for data entry and data analysis respectively. The Cox-proportional hazards regression model was fitted. Kaplan-Meier survival curve was used to estimate opportunistic infections-free survival time. Both bi-variable and multivariable Cox-proportional hazard regression analysis were done to identify predictors of opportunistic infections.

Results: Of the total 354 peoples living with HIV, 114 (32.2%) developed OI, with an incidence rate of 13.5 per 100 person-year (95% CI: 10.8-15.6). Advanced World Health Organization clinical disease stage (IV) (AHR: 2.1 (95% CI: 1.16, 3.8)), being bedridden (AHR: 1.66 (95% CI: 1.04, 2.65)), poor adherence (AHR: 1.7 (95% CI: 1.1-2.63), and low CD4 count (AHR: 1.92 95% CI: 1.14-3.22) were significant predictors of OIs.

Conclusion: Opportunistic infection among HIV/AIDS continues to be a significant public health concern in Ethiopian health care setting. Our results indicate that the incidence of OI is high. Besides, Stage IV HIV status, being bedridden, low CD4 count and poor adherence independently predicts an increased incidence/decreased survival time of OIs among PLWHIV. Early care-seeking and initiation of HAART and continuous follow-up of patients to take their drug timely are essential to curb the incidence of opportunistic infections and improve overall health. Further research on this area is highly recommended.

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Japan Forum
Japan Forum AREA STUDIES-
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1.50
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