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Poorthuis MH, Hageman SH, Fiolet AT, Kappelle LJ, Bots ML, Steg PG, Visseren FL, Bhatt DL, de Borst GJ. Prediction of Severe Baseline Asymptomatic Carotid Stenosis and Subsequent Risk of Stroke and Cardiovascular Disease. Stroke 2024; 55:2632-2640. [PMID: 39319460 PMCID: PMC11518973 DOI: 10.1161/strokeaha.123.046894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2024] [Revised: 07/09/2024] [Accepted: 07/17/2024] [Indexed: 09/26/2024]
Abstract
BACKGROUND Risk models to identify patients at high risk of asymptomatic carotid artery stenosis (ACAS) can help in selecting patients for screening, but long-term outcomes in these patients are unknown. We assessed the diagnostic and prognostic value of the previously published Prevalence of ACAS (PACAS) risk model to detect ACAS at baseline and to predict subsequent risk of stroke and cardiovascular disease (CVD) during follow-up. METHODS We validated the discrimination and calibration of the PACAS risk model to detect severe (≥70% narrowing) ACAS with patients from the Reduction of Atherothrombosis for Continued Health registry. We subsequently calculated the incidence rates of stroke and CVD (fatal and nonfatal stroke or myocardial infarction or vascular death) during follow-up in 4 risk groups (low, medium, high, and very high, corresponding to sum scores of ≤9, 10-13, 14-17, and ≥18, respectively). RESULTS Among 26 384 patients, aged between 45 and 80 years, without prior carotid procedures, 1662 (6.3%) had severe baseline ACAS. During ≈70 000 patient-years of follow-up, 1124 strokes and 2484 CVD events occurred. Discrimination of the PACAS model was 0.67 (95% CI, 0.65-0.68), and calibration showed adequate concordance between predicted and observed risks of severe baseline ACAS after recalibration. Significantly higher incidence rates of stroke (Ptrend<0.011) and CVD (Ptrend<0.0001) during follow-up were found with increasing PACAS risk groups. Among patients with high PACAS sum score of ≥14 (corresponding to 27.7% of all patients), severe baseline ACAS prevalence was 11.4%. In addition, 56.6% of incident strokes and 64.9% of incident CVD events occurred in this group. CONCLUSIONS The PACAS risk model can reliably identify patients at high risk of severe baseline ACAS. Incidence rates of stroke and CVD during follow-up were significantly higher in patients with high PACAS sum scores. Selective screening of patients with high PACAS sum scores may help to prevent future stroke or CVD.
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Affiliation(s)
- Michiel H.F. Poorthuis
- Department of Neurology (M.H.F.P., L.J.K.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Steven H.J. Hageman
- Department of Vascular Medicine (S.H.J.H., F.L.J.V.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Aernoud T.L. Fiolet
- Department of Cardiology (A.T.L.F.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - L. Jaap Kappelle
- Department of Neurology (M.H.F.P., L.J.K.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Michiel L. Bots
- Julius Center for Health Sciences and Primary Care (M.L.B.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Ph. Gabriel Steg
- Université Paris-Cité, INSERM-UMR1148, F-75018, Assistance Publique-Hôpitaux de Paris, Hôpital Bichat, French Alliance for Cardiovascular Trials, France (P.G.S.)
- Institut Universitaire de France, Paris (P.G.S.)
| | - Frank L.J. Visseren
- Department of Vascular Medicine (S.H.J.H., F.L.J.V.), University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Deepak L. Bhatt
- Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY (D.L.B.)
| | - Gert J. de Borst
- Department of Vascular Surgery (G.J.B.), University Medical Center Utrecht, Utrecht University, the Netherlands
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Abdulaziz KE, Taljaard M, Dowlatshahi D, Stiell IG, Wells GA, Sivilotti MLA, Émond M, Sharma M, Stotts G, Lee J, Worster A, Morris J, Cheung KW, Jin AY, Sahlas DJ, Murray HE, MacKey A, Verreault S, Camden MC, Yip S, Teal P, Gladstone DJ, Boulos MI, Chagnon N, Shouldice E, Atzema CL, Slaoui T, Teitlebaum J, Perry JJ. Derivation of a clinical prediction score for the diagnosis of clinically significant symptomatic carotid artery disease. CAN J EMERG MED 2024; 26:741-750. [PMID: 39190092 DOI: 10.1007/s43678-024-00759-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2023] [Accepted: 07/29/2024] [Indexed: 08/28/2024]
Abstract
OBJECTIVES Emergent vascular imaging identifies a subset of patients requiring immediate specialized care (i.e. carotid stenosis > 50%, dissection or free-floating thrombus). However, most TIA patients do not have these findings, so it is inefficient to image all TIA patients in crowded emergency departments (ED). Our objectives were to derive and internally validate a clinical prediction score for clinically significant carotid artery disease in TIA patients. METHODS This was a planned secondary analysis of a prospective cohort study from 14 Canadian EDs. Among 11555 consecutive adult ED patients with TIA/minor stroke symptoms over 12 years, 9882 had vascular imaging and were included in the analysis. Our main outcome was clinically significant carotid artery disease, defined as extracranial internal carotid stenosis ≥ 50%, dissection, or thrombus in the internal carotid artery, with contralateral symptoms. RESULTS Of 9882 patients, 888 (9.0%) had clinically significant carotid artery disease. Logistic regression was used to derive a 13-variable reduced model. We simplified the model into a score (Symcard [Symptomatic carotid artery disease] Score), with suggested cut-points for high, medium, and low-risk stratification. A substantial portion (38%) of patients were classified as low-risk, 33.8% as medium risk, and 28.2% as high risk. At the low-risk cut-point, sensitivity was 92.9%, specificity 41.1%, and diagnostic yield 1.7%. CONCLUSIONS This simple score can predict carotid artery disease in TIA patients using readily available information. It identifies low-risk patients who can defer vascular imaging to an outpatient or specialty clinic setting. Medium-risk patients may undergo imaging immediately or with slight delay, depending on local resources. High-risk patients should undergo urgent vascular imaging.
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Affiliation(s)
- Kasim E Abdulaziz
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
- Ottawa Hospital Research Institute, Ottawa, ON, Canada.
- Better Outcomes Registry & Network (BORN) Ontario, Children's Hospital of Eastern Ontario (CHEO), Ottawa, ON, Canada.
- Epidemiology Program, F6, The Ottawa Hospital, Civic Campus, Ottawa, ON, Canada.
| | - Monica Taljaard
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
| | - Dar Dowlatshahi
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
- Department of Medicine (Neurology), University of Ottawa, Ottawa, ON, Canada
| | - Ian G Stiell
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
| | - George A Wells
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Cardiovascular Research Methods Centre, University of Ottawa Heart Institute, Ottawa, ON, Canada
| | | | - Marcel Émond
- CHU de Québec, Hôpital de L'Enfant-Jésus, Québec City, QC, Canada
- Division of Emergency Medicine, Université Laval, Québec City, QC, Canada
| | - Mukul Sharma
- Department of Emergency Medicine, Queen's University, Kingston, ON, Canada
| | - Grant Stotts
- Department of Medicine (Neurology), University of Ottawa, Ottawa, ON, Canada
| | - Jacques Lee
- Schwartz\Reisman Emergency Medicine Institute, Mount Sinai Hospital, Toronto, ON, Canada
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | | | - Judy Morris
- Hôpital du Sacré-Cœur de Montréal, Université de Montréal, Montréal, QC, Canada
| | - Ka Wai Cheung
- University of British Columbia, Vancouver, BC, Canada
| | - Albert Y Jin
- Division of Neurology, Queen's University, Kingston, ON, Canada
| | - Demetrios J Sahlas
- Department of Emergency Medicine, Queen's University, Kingston, ON, Canada
| | - Heather E Murray
- CHU de Québec, Hôpital de L'Enfant-Jésus, Québec City, QC, Canada
| | - Ariane MacKey
- Division of Emergency Medicine, Université Laval, Québec City, QC, Canada
- Division of Neurology, Laval University, Quebec City, QC, Canada
| | - Steve Verreault
- Division of Emergency Medicine, Université Laval, Québec City, QC, Canada
- Division of Neurology, Laval University, Quebec City, QC, Canada
| | - Marie-Christine Camden
- Division of Emergency Medicine, Université Laval, Québec City, QC, Canada
- Division of Neurology, Laval University, Quebec City, QC, Canada
| | - Samuel Yip
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - Philip Teal
- Division of Neurology, University of British Columbia, Vancouver, BC, Canada
| | - David J Gladstone
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mark I Boulos
- Division of Neurology, Department of Medicine, University of Toronto, Toronto, ON, Canada
| | - Nicolas Chagnon
- Department of Emergency Medicine, Montfort Hospital and University of Ottawa, Ottawa, ON, Canada
| | | | - Clare L Atzema
- Division of Emergency Medicine, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Tarik Slaoui
- University of British Columbia, Vancouver, BC, Canada
| | | | - Jeffrey J Perry
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada
- Ottawa Hospital Research Institute, Ottawa, ON, Canada
- Department of Emergency Medicine, University of Ottawa, Ottawa, ON, Canada
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Naylor R, Rantner B, Ancetti S, de Borst GJ, De Carlo M, Halliday A, Kakkos SK, Markus HS, McCabe DJH, Sillesen H, van den Berg JC, Vega de Ceniga M, Venermo MA, Vermassen FEG, Esvs Guidelines Committee, Antoniou GA, Bastos Goncalves F, Bjorck M, Chakfe N, Coscas R, Dias NV, Dick F, Hinchliffe RJ, Kolh P, Koncar IB, Lindholt JS, Mees BME, Resch TA, Trimarchi S, Tulamo R, Twine CP, Wanhainen A, Document Reviewers, Bellmunt-Montoya S, Bulbulia R, Darling RC, Eckstein HH, Giannoukas A, Koelemay MJW, Lindström D, Schermerhorn M, Stone DH. Editor's Choice - European Society for Vascular Surgery (ESVS) 2023 Clinical Practice Guidelines on the Management of Atherosclerotic Carotid and Vertebral Artery Disease. Eur J Vasc Endovasc Surg 2023; 65:7-111. [PMID: 35598721 DOI: 10.1016/j.ejvs.2022.04.011] [Citation(s) in RCA: 360] [Impact Index Per Article: 180.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 04/20/2022] [Indexed: 01/17/2023]
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