Retinal vascular fingerprints predict incident stroke: findings from the UK Biobank cohort study
Objective To investigate the associations between a comprehensive set of retinal vascular parameters and incident stroke to unveil new associations and explore its predictive power for stroke risk. Methods Retinal vascular parameters were extracted from the UK Biobank fundus images using the Retina-based Microvascular Health Assessment System. We used Cox regression analysis, adjusted for traditional risk factors, to examine the associations, with false discovery rate adjustment for multiple comparisons. Receiver operating characteristic (ROC) curves were used to assess their predictive values. Results During a median follow-up of 12.5 years, 749 incident strokes occurred among 45 161 participants. The analysis identified 29 significant parameters associated with stroke risk, with a notable dominance of density parameters (over half). Each SD change in these parameters increased stroke risk by 9.8% to 19.0%. For identified calibre parameters, each SD change was associated with an incre
