Xie Jinzhao, Gu Jing, Chen Xiuyuan, Liu Cong, Zhong Haidan, Du Peishan, Li Quanmin, Lau Joseph T F, Hao Chun, Li Linghua, Hao Yuantao, Cai Weiping
Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen Global Health Institute, School of Public Health and Institute of State Governance, Sun Yat-sen University, Guangzhou, 510080, China.
AIDS Behav. 2022 Apr;26(4):1126-1137. doi: 10.1007/s10461-021-03466-8. Epub 2021 Oct 26.
We explored the predictors and predictive models of loss to follow-up (LTFU) during the first year of anti-retroviral therapy (ART). LTFU was defined as the failure to visit the clinic for antiretroviral drugs for ≥ 90 days after the last missed scheduled visit. Based on the electronic medical records of 5953 patients who were HIV positive and began ART between 2016 and 2019 in China, the LTFU rate was 7.24 (95% confidence interval 6.49-7.97) per 100 person-years during the first year of ART. ART baseline factors were associated with LTFU, but were non-optimal predictors. A model including ART process-related factors such as follow-up behaviors and physical health status had an area under the receiver operating characteristic curve of 73.4% for predicting LTFU. Therefore, the medical records of follow-up visits can be used to identify patients with a high risk of LTFU and allow interventions to be implemented proactively.
我们探讨了抗逆转录病毒疗法(ART)第一年随访失访(LTFU)的预测因素及预测模型。LTFU定义为自上次错过预定访视后≥90天未到诊所领取抗逆转录病毒药物。基于2016年至2019年期间在中国开始接受ART治疗的5953例HIV阳性患者的电子病历,ART第一年的LTFU率为每100人年7.24(95%置信区间6.49 - 7.97)。ART基线因素与LTFU相关,但并非最佳预测因素。一个包含随访行为和身体健康状况等与ART过程相关因素的模型在预测LTFU方面的受试者工作特征曲线下面积为73.4%。因此,随访记录可用于识别LTFU高风险患者,并能主动实施干预措施。