Predicting risk of rupture and rupture-preventing re-interventions utilising repeated measures on aneurysm sac diameter following endovascular abdominal aortic aneurysm repair
cam.issuedOnline | 2018-08-07 | |
dc.contributor.author | Grootes, I | |
dc.contributor.author | Barrett, Jessica K | |
dc.contributor.author | Ulug, Pinar | |
dc.contributor.author | Rohlffs, Fiona | |
dc.contributor.author | Laukontaus, Sani | |
dc.contributor.author | Tulamo, Riikka | |
dc.contributor.author | Venermo, Maarit | |
dc.contributor.author | Greenhalgh, Roger | |
dc.contributor.author | Sweeting, Michael J | |
dc.contributor.orcid | Barrett, Jessica [0000-0003-1889-9803] | |
dc.contributor.orcid | Sweeting, Michael [0000-0003-0980-8965] | |
dc.date.accessioned | 2019-02-26T18:36:43Z | |
dc.date.available | 2019-02-26T18:36:43Z | |
dc.date.issued | 2018-09 | |
dc.description.abstract | Clinical and imaging surveillance practices following endovascular aneurysm repair (EVAR) for intact abdominal aortic aneurysm (AAA) vary considerably and compliance with recommended lifelong surveillance is poor. This study developed a dynamic prognostic model to enable stratification of patients at risk of future secondary rupture or rupture preventing re-intervention (RPR) to enable the development of personalised surveillance intervals. Baseline data and repeat measurements of post-operative aneurysm sac diameter from the EVAR-1 and EVAR-2 trials were used to develop the model with external validation in a cohort from Helsinki. Longitudinal mixed-effects models were fitted to trajectories of sac diameter and model-predicted sac diameter and rate of growth were used in prognostic Cox proportional hazards models. 785 patients from the EVAR trials were included of which 155 (20%) suffered at least one rupture or RPR during follow-up. An increased risk was associated with pre-operative AAA size, rate of sac growth, and the number of previously detected complications. A prognostic model using only predicted sac growth had good discrimination at 2-years (C-index = 0.68), 3-years (C-index= 0.72) and 5-years (C-index= 0.75) post-operation and had excellent external validation (C-indices 0.76 to 0.79). After 5-years post-operation, growth rates above 1mm/year had a sensitivity of over 80% and specificity over 50% in identifying events occurring within 2 years. Secondary sac growth is an important predictor of rupture or RPR. A dynamic prognostic model has the potential to tailor surveillance by identifying a large proportion of patients who may require less intensive follow-up. | |
dc.identifier.doi | 10.17863/CAM.37233 | |
dc.identifier.eissn | 1365-2168 | |
dc.identifier.issn | 1365-2168 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/290006 | |
dc.publisher | Wiley-Blackwell | |
dc.publisher.url | https://onlinelibrary.wiley.com/doi/abs/10.1002/bjs.10964 | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Adult | |
dc.subject | Aged | |
dc.subject | Aged, 80 and over | |
dc.subject | Aortic Aneurysm, Abdominal | |
dc.subject | Aortic Rupture | |
dc.subject | Endovascular Procedures | |
dc.subject | Female | |
dc.subject | Follow-Up Studies | |
dc.subject | Humans | |
dc.subject | Male | |
dc.subject | Middle Aged | |
dc.subject | Models, Statistical | |
dc.subject | Postoperative Complications | |
dc.subject | Prognosis | |
dc.subject | Proportional Hazards Models | |
dc.subject | Reoperation | |
dc.subject | Retrospective Studies | |
dc.subject | Risk Assessment | |
dc.subject | Risk Factors | |
dc.subject | Sensitivity and Specificity | |
dc.subject | Treatment Outcome | |
dc.title | Predicting risk of rupture and rupture-preventing re-interventions utilising repeated measures on aneurysm sac diameter following endovascular abdominal aortic aneurysm repair | |
dc.type | Article | |
dcterms.dateAccepted | 2018-06-30 | |
prism.endingPage | 1304 | |
prism.issueIdentifier | 10 | |
prism.publicationName | British Journal of Surgery | |
prism.startingPage | 1294 | |
prism.volume | 105 | |
pubs.funder-project-id | Medical Research Council (MR/K014811/1) | |
pubs.funder-project-id | MRC (MR/L501566/1) | |
pubs.funder-project-id | MRC (unknown) | |
pubs.funder-project-id | Medical Research Council (MR/L003120/1) | |
pubs.funder-project-id | Medical Research Council (G0701619) | |
pubs.funder-project-id | British Heart Foundation (None) | |
rioxxterms.licenseref.startdate | 2018-06-30 | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
rioxxterms.type | Journal Article/Review | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1002/bjs.10964 |
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