| Title: | Association between intrinsic capacity, genetic predisposition and risk of venous thromboembolism |
| Journal: | Journal of Vascular Surgery Venous and Lymphatic Disorders |
| Published: | 27 Jun 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42364802/ |
| DOI: | https://doi.org/10.1016/j.jvsv.2026.102567 |
Publication 20520
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Abstract
OBJECTIVE: Association between intrinsic capacity (IC) and venous thromboembolism (VTE) remains unclear, we aim to explore the relationship among IC, genetic predisposition, and incident VTE.</p>
METHODS: In this large retrospective cohort study using the UK Biobank, IC, defined as the composite of all physical and mental capacities of an individual, was assessed across 7 factors (such as exhaustion, sleep duration, eye problems, hearing difficulty, weight loss, gait speed, and grip strength) and scored from 0 (best) to 7 (worst). Participants were grouped into five IC categories: 0, 1, 2, 3, and ≥4 factors. Incident VTE was identified through national medical records. Genetic predisposition to VTE was determined by the tertiles of polygenic risk score (PRS) derived from external genome-wide association data from the UK Biobank. Cox proportional hazards models were used to investigate the associations with multiple variables adjusted.</p>
RESULTS: A total of 415,581 participants (median age, 57.0 years; interquartile range, 50.0-63.0; 54.96% female; 94.89% White) were included in the final analysis. Over a median follow-up of 14.37 years, 8299 (2.00%) developed VTE, including 3878 (0.94%) with and 4421 (1.07%) without a history of cancer. Higher IC scores were associated with increased VTE risk compared to those with IC = 0 (for IC = 1: hazard ratio (HR), 1.08; 95% confidence interval (CI), 1.01-1.16; P = .029; for IC = 2: HR, 1.12; 95% CI, 1.04-1.22; P = .005; for IC = 3: HR, 1.19; 95% CI, 1.06-1.34; P = .003; for IC ≥ 4: HR, 1.46; 95% CI, 1.23-1.75; P < .001). Similar associations were observed in both cancer and noncancer subgroups. Furthermore, individuals with both the highest PRS and the worst IC (≥4 factors) had the greatest VTE risk, with significant interactions between PRS and IC.</p>
CONCLUSIONS: Our large-scale study suggests that poor IC is an independent risk factor for VTE. Moreover, integrating IC with genetic risk can identify a high-risk subgroup, which supports the clinical utility of IC assessment in VTE risk stratification.</p>
5 Authors
- Yonglin Chen
- Jiatang Xu
- Runnan Shen
- Kai Huang
- Yangfan Su
1 Application
| Application ID | Title |
|---|---|
| 100739 | Artificial intelligence for using multi-modal data to improve the identification and prediction of diseases in the UK Biobank |
Enabling scientific discoveries that improve human health