| Title: | Secular trend of biomarkers and other factors and unsupervised trajectory clustering for predicting risk of metabolic disorders and liver-related diseases |
| Lead Institution: | Chinese University of Hong Kong |
| Principal investigator: |
Application 431566
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About
Aims: Our study aimed to estimate the cumulative incidence of metabolic disorders and liver-related diseases in the general and subgroup populations, identify secular trends and the trajectories and levels of risk factors, and develop risk trajectory models to facilitate timely referral for assessment and interventions at risk of metabolic and liver-related diseases. Scientific rationale: Metabolic disorders and liver-related diseases are major global health concerns with an increasing disease burden. These diseases are closely linked and share common risk factors. However, the independent and shared risk factors affecting the onset, progression, and comorbidities of metabolic disorders and liver-related diseases are unclear. Additionally, there is a lack of long-term risk monitoring tools for these patients, hindering effective prevention and management strategies. Project duration: This project will require three years. Public health impact: Our study will identify preventable risk factors and guide clinical and public health policies to reduce the burden of metabolic disorders and liver diseases. Accurate risk monitoring tools for patients who are at risk will have a great impact on the prioritization of patients with high-risk trajectories for timely liver assessment and new treatment.1 Publication
| Pub ID | Title | Author(s) | Year | Journal |
|---|---|---|---|---|
| 20523 | HbA1c trajectories and the risk of liver-related events in patients with type 2 diabetes mellitus | Nana Peng (+6) | 2026 | Journal of Hepatology |
Enabling scientific discoveries that improve human health