| Literature DB >> 32690537 |
John Joseph McCabe1,2, Nicola Giannotti3, Jonathan McNulty3, Sean Collins4, Sarah Coveney4,2, Sean Murphy4,2, Mary Barry5, Joseph Harbison4,6, Simon Cronin4,7, David Williams4,8, Gillian Horgan4,2, Eamon Dolan4,9, Tim Cassidy4,10, Ciaran McDonnell11, Eoin Kavanagh12, Shane Foley3, Martin O'Connell12, Michael Marnane4,2, Peter Kelly4,2.
Abstract
PURPOSE: Inflammation is important in stroke. Anti-inflammatory therapy reduces vascular events in coronary patients. 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET) identifies plaque inflammation-related metabolism. However, long-term prospective cohort studies investigating the association between carotid plaque inflammation, identified on 18F-FDG PET and the risk of recurrent vascular events, have not yet been undertaken in patients with stroke. PARTICIPANTS: The Biomarkers Imaging Vulnerable Atherosclerosis in Symptomatic Carotid disease (BIOVASC) study and Dublin Carotid Atherosclerosis Study (DUCASS) are two prospective multicentred observational cohort studies, employing near-identical methodologies, which recruited 285 patients between 2008 and 2016 with non-severe stroke/transient ischaemic attack and ipsilateral carotid stenosis (50%-99%). Patients underwent coregistered carotid 18F-FDG PET/CT angiography and phlebotomy for measurement of inflammatory cytokines. Plaque 18F-FDG-uptake is expressed as maximum standardised uptake value (SUVmax) and tissue-to-background ratio. The BIOVASC-Late study is a follow-up study (median 7 years) of patients recruited to the DUCASS/BIOVASC cohorts. FINDINGS TO DATE: We have reported that 18F-FDG-uptake in atherosclerotic plaques of patients with symptomatic carotid stenosis predicts early recurrent stroke, independent of luminal narrowing. The incorporation of 18F-FDG plaque uptake into a clinical prediction model also improves discrimination of early recurrent stroke, when compared with risk stratification by luminal stenosis alone. However, the relationship between 18F-FDG-uptake and late vascular events has not been investigated to date. FUTURE PLANS: The primary aim of BIOVASC-Late is to investigate the association between SUVmax in symptomatic 'culprit' carotid plaque (as a marker of systemic inflammatory atherosclerosis) and the composite outcome of any late major vascular event (recurrent ischaemic stroke, coronary event or vascular death). Secondary aims are to investigate associations between: (1) SUVmax in symptomatic plaque, and individual vascular endpoints (2) SUVmax in asymptomatic contralateral carotid plaque and SUVmax in ipsilateral symptomatic plaque (3) SUVmax in asymptomatic carotid plaque and major vascular events (4) inflammatory cytokines and vascular events. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.Entities:
Keywords: adult neurology; cardiovascular imaging; preventive medicine; stroke
Mesh:
Substances:
Year: 2020 PMID: 32690537 PMCID: PMC7371237 DOI: 10.1136/bmjopen-2020-038607
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Schematic representation of the study hypotheses.
Figure 2Flow diagram illustrating study screening, eligibility and enrolment. BIOVASC, Biomarkers Imaging Vulnerable Atherosclerosis in Symptomatic Carotid; DUCASS, Dublin Carotid Atherosclerosis Study. MCA, middle cerebral artery; GFR, glomelular filtration rate.
Figure 5Schematic representation of timeline of BIOVASC-Late study. BIOVASC, Biomarkers Imaging Vulnerable Atherosclerosis in Symptomatic Carotid; CTA, CT angiography; DUCASS, Dublin Carotid Atherosclerosis Study; PET, positron emission tomography; TIA, transient ischaemic attack.
Baseline characteristics of BIOVASC and DUCASS study cohorts
| BIOVASC-Late pooled data (n=285) | DUCASS (n=77) | BIOVASC (n=208) | P value | |
| Demographics (n=285) | ||||
| Age | 69.8 (9.8) | 70.6 (10.3) | 69.5 (9.6) | 0.4 |
| Sex, male | 68.4 (195) | 68.8% (53) | 68.3 (142) | 0.93 |
| Ethnicity, Caucasian | 100 (285) | 100 (77) | 100 (208) | 1 |
| Index event (n=285) | ||||
| TIA | 39.6 (113) | 40.3 (31) | 39.4 (82) | 0.83 |
| Ischaemic stroke | 43.9 (125) | 45.4 (35) | 43.3 (90) | |
| Retinal embolism | 16.5 (47) | 14.3 (11) | 17.3 (36) | |
| Smoking status (n=284) | ||||
| Current | 40.8 (116) | 39 (30) | 41.6 (86) | 0.88 |
| Previous | 40.5 (115) | 42.9 (33) | 39.6 (82) | |
| Never | 18.7 (53) | 18.2 (14) | 18.8 (39) | |
| Other risk factors | ||||
| Hypertension (n=284) | 88 (250) | 90.9 (70) | 87 (180) | 0.36 |
| Diabetes mellitus (n=284) | 16.9 (48) | 19.5 (15) | 15.9 (33) | 0.48 |
| Hyperlipidaemia (n=285) | 78.6 (224) | 77.9 (60) | 78.8 (164) | 0.87 |
| Atrial fibrillation (n=284) | 14.4 (41) | 23.4 (18) | 11.1 (23) | 0.01 |
| Coronary heart disease (n=284) | 32 (91) | 35.1 (27) | 30.9 (64) | 0.51 |
| Peripheral arterial disease (n=284) | 9.5 (27) | 13 (10) | 8.2 (17) | 0.22 |
| Medications and therapeutic interventions | ||||
| Statin at index event (n=284) | 50 (142) | 45.5 (35) | 51.7 (107) | 0.35 |
| Statin at recruitment (n=284) | 92.6 (263) | 94.8 (73) | 91.8 (190) | 0.39 |
| High-intensity statin at recruitment (n=279) | 63.8 (178) | 63.9 (46) | 63.8 (132) | 0.99 |
| Antiplatelet at index event (n=284) | 46.8 (133) | 50.6 (39) | 45.4 (94) | 0.43 |
| Anti-platelet at recruitment (n=283) | 92.6 (262) | 85.5 (65) | 95.2 (197) | 0.01 |
| Anticoagulant at index event (n=284) | 5.6 (16) | 6.5 (5) | 5.3 (11) | 0.7 |
| Oral anticoagulant at recruitment (n=284) | 8.8 (25) | 16.9 (13) | 5.8 (12) | 0.003 |
| IV tpa (n=284) | 6.7 (19) | 3.9 (3) | 7.7 (16) | 0.25 |
| EVT (n=284) | 0 (0) | 0 (0) | 0 (0) | 1 |
| Carotid endarterectomy (n=284) | 64.1 (182) | 53.3 (41) | 68.1 (141) | 0.02 |
| Carotid stenting (n=284) | 2.5 (7) | 1.3 (1) | 2.9 (6) | 0.44 |
| Stroke severity, median (IQR) | ||||
| NIHSS (n=281) | 0 (0–2) | 1 (0–2) | 0 (0–1) | <0.001 |
| Modified Rankin Scale (n=282) | 0 (0–1) | 1 (0–2) | 0 (0–1) | 0.002 |
| Stenosis severity (n=285) | ||||
| Moderate | 46.7 (133) | 61 (47) | 41.4 (86) | 0.8* |
| Severe | 43.5 (124) | 28.6 (22) | 49 (102) | |
| Near-occlusion | 9.8 (28) | 10.4 (8) | 9.6 (20) | |
Categorical data expressed as % (number). Continuous data expressed as mean (SD) unless otherwise stated. χ2 test is used for comparing differences in proportions. Two sample t-test is used or the Mann-Whitney U test was used for continuous data as appropriate. The X2 statistical test for trend was used for comparing proportions in ordered categorical data (>2 groups).
*P value for X2 statistical test for trend.
BIOVASC, Biomarkers Imaging Vulnerable Atherosclerosis in Symptomatic Carotid; DUCASS, Dublin Carotid Atherosclerosis Study; EVT, endovascular therapy; IV tpa, intravenous tissue plasminogen activator; NIHSS, National Institute for Health Stroke Scale; TIA, transient ischaemic attack.