Model maps shifting links among heart, kidney and fat markers
An observational analysis of 5,386 people in China linked modeled disease progression to a shift from blood-fat marker connections toward heart–kidney connections.
Edited by Boris Djordjevic · AgingResearch.News
In an observational analysis of 5,386 people from a Chinese national population-based cohort, researchers examined links among 18 markers of heart, kidney and metabolic health. They arranged participants along “pseudotime,” a modeled disease trajectory based on their health profiles rather than elapsed time, and divided it into six windows.
Connections among blood-fat markers dominated earlier in the modeled trajectory. Links between heart and kidney markers dominated later. The researchers also developed a personalized score reflecting changing connections between markers. The highest-scoring fifth had a 52% higher stroke hazard—a measure of risk over time—than the lowest-scoring fifth, after accounting for other factors.
Why it matters
For cardiovascular disease, an age-related health concern, the work explores whether connections among health markers could inform risk assessment beyond considering each risk factor separately.
Caveats
The analysis inferred a disease trajectory rather than tracking network changes in real time, and it cannot establish cause and effect. The conference abstract did not report participants’ ages or follow-up duration.
- Machine learning
- Stroke
- Cardiovascular-kidney-metabolic syndrome
- Cardiovascular disease
- High-density lipoprotein cholesterol
- Humans
The paper
2nd Hospital of Tianjin Medical University
ESC Congress 2026 Abstract, Oct 26, 2026
Presented at ESC Congress 2026