A model to predict adherence to antiretroviral therapy among people living with HIV.

Hui ChenRusi LongTian HuYaqi ChenRongxi WangYujie LiuShangbin LiuChen XuXiaoyue YuRuijie ChangHuwen WangKechun ZhangFan HuYong Cai

Published in: Sexually transmitted infections (2021)

Our model accurately estimates ART adherence behaviours. The prediction tool can help identify individuals at greater risk for poor adherence and guide tailored interventions to optimise adherence.

Keyphrases

antiretroviral therapy
hiv infected
glycemic control
human immunodeficiency virus
hiv aids
type diabetes
metabolic syndrome
hiv infected patients
adipose tissue
hepatitis c virus