Grootes I, et al. - Researchers aimed to develop a dynamic prognostic model to enable stratification of patients at risk of future secondary aortic rupture or the need for intervention to prevent rupture (rupture-preventing reintervention) to enable the development of personalized surveillance intervals. The model was developed using baseline data and repeat measurements of postoperative aneurysm sac diameter from the endovascular aneurysm repair (EVAR)-1 and EVAR-2 trials and was validated externally in a cohort from a single-centre vascular database. Personalized surveillance intervals could be developed using secondary sac growth as it is identified as an important predictor of rupture or rupture-preventing reintervention. Findings suggest the potential of the developed dynamic prognostic model to tailor surveillance by identifying a large proportion of patients who may require less intensive follow-up.