Prediction Models for Clinical Outcome After a Carotid Revascularization Procedure

Stroke; a Journal of Cerebral Circulation
Eline J VolkersCarotid Stenosis Trialists’ Collaboration

Abstract

Background and Purpose- Prediction models may help physicians to stratify patients with high and low risk for periprocedural complications or long-term stroke risk after carotid artery stenting or carotid endarterectomy. We aimed to evaluate external performance of previously published prediction models for short- and long-term outcome after carotid revascularization in patients with symptomatic carotid artery stenosis. Methods- From a literature review, we selected all prediction models that used only readily available patient characteristics known before procedure initiation. Follow-up data from 2184 carotid artery stenting and 2261 carotid endarterectomy patients from 4 randomized trials (EVA-3S [Endarterectomy Versus Angioplasty in Patients With Symptomatic Severe Carotid Stenosis], SPACE [Stent-Protected Angioplasty Versus Carotid Endarterectomy], ICSS [International Carotid Stenting Study], and CREST [Carotid Revascularization Endarterectomy Versus Stenting Trial]) were used to validate 23 short-term outcome models to estimate stroke or death risk ≤30 days after the procedure and the original outcome measure for which the model was developed. Additionally, we validated 7 long-term outcome models for the original outcome m...Continue Reading

References

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Citations

Mar 13, 2020·The British Journal of Surgery·M H F PoorthuisUNKNOWN Carotid Stenosis Trialists' Collaboration
Aug 14, 2020·Journal of the American Heart Association·Richard T CarrickDavid M Kent
Apr 6, 2021·Vascular Medicine·Ahmad MsheikHabib A Dakik
Apr 26, 2021·Journal of Vascular Surgery·Daniele BissaccoSanti Trimarchi
Oct 13, 2021·Stroke; a Journal of Cerebral Circulation·Michiel H F PoorthuisGert J de Borst
Sep 8, 2019·European Journal of Vascular and Endovascular Surgery : the Official Journal of the European Society for Vascular Surgery·Andrew J BatchelderA Ross Naylor

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Software Mentioned

SPSS
R
CREST
MICE

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