China-Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Center.
Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi.
AIDS. 2023 Jun 1;37(7):1137-1145. doi: 10.1097/QAD.0000000000003528. Epub 2023 Mar 3.
Attrition due to loss to follow-up or termination of antiretroviral therapy (ART) among HIV-infected patients in care may increase the risk of emergence and transmission of drug resistance (TDR), diminish benefit of treatment, and increase morbidity and mortality. Understanding the impact of attrition on the epidemic is essential to provide interventions for improving retention in care.
We developed a comprehensive HIV transmission dynamics model by considering CD4 + cell count dependent diagnosis, treatment, and attrition involving TDR and acquired drug resistance. The model was calibrated by 11 groups HIV/AIDS surveillance data during 2008-2018 from Guangxi, China, and validated by the prevalence of TDR among diagnosed treatment-naive individuals. We aimed to investigate how attrition would affect the transmission of HIV and drug-resistance when expanding ART.
In the base case with CD4 + cell count dependent per capita attrition rates 0.025∼0.15 and treatment rates 0.23∼0.42, we projected cumulative total new infections, new drug-resistant infections, and HIV-related deaths over 2022-2030 would be 145 391, 7637, and 51 965, respectively. Increasing treatment rates by 0.1∼0.2 can decrease the above total new infections (deaths) by 1.63∼2.93% (3.52∼6.16%). However, even 0.0114∼0.0220 (0.0352∼0.0695) increase in attrition rates would offset this benefit of decreasing infections (deaths). Increasing treatment rates (attrition rates) by 0.05∼0.1 would increase the above drug-resistant infections by 0.16∼0.30% (22.18∼41.15%).
A minor increase in attrition can offset the benefit of treatment expansion and increase the transmission of HIV drug resistance. Reducing attrition rates for patients already in treatment may be as important as expanding treatment for untreated patients.
在接受护理的 HIV 感染者中,由于失访或终止抗逆转录病毒治疗(ART)导致的患者流失,可能会增加出现和传播耐药性(TDR)的风险,降低治疗效果,并增加发病率和死亡率。了解患者流失对疫情的影响对于提供改善患者保留在护理中的干预措施至关重要。
我们通过考虑 CD4 + 细胞计数依赖的诊断、治疗和涉及 TDR 和获得性耐药的流失,开发了一个综合的 HIV 传播动力学模型。该模型通过中国广西 2008-2018 年的 11 组 HIV/AIDS 监测数据进行了校准,并通过诊断性初治个体中 TDR 的流行率进行了验证。我们旨在研究扩大 ART 治疗时,流失如何影响 HIV 和耐药性的传播。
在 CD4 + 细胞计数依赖的人均流失率为 0.025∼0.15 和治疗率为 0.23∼0.42 的基础情况下,我们预测 2022-2030 年累计新感染、新耐药感染和与 HIV 相关的死亡人数将分别为 145391、7637 和 51965。将治疗率提高 0.1∼0.2 可以使上述新感染(死亡)总数减少 1.63∼2.93%(3.52∼6.16%)。然而,即使流失率增加 0.0114∼0.0220(0.0352∼0.0695),也会抵消降低感染(死亡)的益处。将治疗率(流失率)提高 0.05∼0.1 将使上述耐药感染增加 0.16∼0.30%(22.18∼41.15%)。
略微增加流失率可能会抵消治疗扩展的益处,并增加 HIV 耐药性的传播。减少已经接受治疗的患者的流失率可能与扩大未接受治疗患者的治疗同样重要。