The HAILO project

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Individuals living with HIV (PWH) encounter a greater occurrence and earlier emergence of age-related health issues compared to the general population. Among these, a significant concern is neurocognitive impairment (NCI), which is more prevalent in PWH than in individuals without HIV (PwoH). The resulting physical and cognitive decline escalates the risk of falls, frailty, and mortality among older PWH. Previous studies, both in PWH and PwoH, have revealed noteworthy connections between frailty and NCI in older individuals. In the HIV Infection, Aging, and Immune Function Long-Term Observation (HAILO) study involving older PWH, it was observed that baseline NCI served as a predictor of subsequent frailty, while the reverse relationship was not apparent.

This study primarily focuses on neurocognitive impairment (NCI) as its main objective, aiming to deepen our understanding and knowledge of this condition. Additionally, it aims to identify potential risk factors associated with NCI, including markers related to metabolism and inflammatory factors. To achieve this, we will utilize the highly correlated information obtained from secondary outcomes such as frailty, falls, and disability. Our approach will involve employing the proposed and published methods capable of handling diverse types of outcomes, including binary data and time-to-event data. We will utilize an empirical likelihood-based weighting framework to conduct an exclusive exploration of the HAILO study.

Liangliang(Lyon) Zhang
Liangliang(Lyon) Zhang
Assistant Professor

Dr. Zhang’s research interests center around Bayesian inference and prediction, high dimensional models, and complex structured data, such as brain imaging and metagenomic data.