Data-driven modelling of long-term CD4 cell recovery trajectories under modern antiretroviral therapy in people living with HIV
You Ge·Zhiliang Hu·Anni Liu·Zheng Qian·Yang Liu·Chenyu Ma·Jinjin Yang·Zhixiang Dai·Kai Wang·Yuanyuan Xu·Hongxia Wei·Zhengping Zhu·Zhihang Peng·Chunqin Bai
Abstract Background Although CD4 recovery has been widely studied, its long-term temporal dynamics and phase-specific characteristics in the modern ART era remain incompletely characterized. Methods This retrospective cohort study included adults with HIV in Nanjing, China, who initiated ART between 2010 and 2019 and maintained viral suppression. The optimal CD4 recovery trajectory model was identified using piecewise linear mixed-effects models with exhaustive grid search. Cumulative probabilit