| Literature DB >> 33178803 |
Kosmas I Paraskevas1, Andrew N Nicolaides2, Stavros K Kakkos3.
Abstract
The Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) study is the largest natural history study on patients with 50-99% asymptomatic carotid stenosis (ACS). It included 1,121 ACS individuals with a follow-up between 6 and 96 months (mean: 48 months). During the last 15 years, several important ACSRS substudies have been published that have contributed significantly to the optimal management of ACS patients. These studies have demonstrated that specific baseline clinical characteristics and ultrasonic plaque features after image normalization (namely carotid plaque type, gray scale median, carotid plaque area, juxtaluminal black area without a visible echogenic cup, discrete white areas in an echolucent part of a plaque, silent embolic infarcts on brain computed tomography scans, a history of contralateral transient ischemic attacks/strokes) can independently predict future ipsilateral cerebrovascular events. The ACSRS study provided proof that by use of a computer program to normalize plaque images and extract plaque texture features, a combination of features can stratify patients into various categories depending on their stroke risk. The present review will discuss the various reported predictors of future ipsilateral cerebrovascular events and how these characteristics can be used to calculate individual stroke risk. 2020 Annals of Translational Medicine. All rights reserved.Entities:
Keywords: Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS); Asymptomatic carotid stenosis (ACS); carotid endarterectomy (CEA); stroke risk
Year: 2020 PMID: 33178803 PMCID: PMC7607063 DOI: 10.21037/atm.2020.02.156
Source DB: PubMed Journal: Ann Transl Med ISSN: 2305-5839
Objectives and outcomes of the different substudies of the Asymptomatic Carotid Stenosis and Risk of Stroke (ACSRS) study
| Study (year) | Objective | Outcome |
|---|---|---|
| Nicolaides | To determine the risk of ipsilateral ischemic neurological events in relation to ICA stenosis >50% in 1,115 ACS patients {mean follow-up [range]: 37.1 [6–84] months} | The relationship between ICA stenosis and event rate was linear by the ECST method, but S-shaped by the NASCET method |
| Independent predictors of stroke risk were ECST grade of stenosis (RR: 1.6; 95% CI: 1.21–2.15; P<0.05), history of contralateral TIAs (RR: 3.0; 95% CI: 1.90–4.73; P<0.05) and creatinine >85 ìmol/L (RR: 2.1; 95% CI: 1.23–3.65; P<0.05) | ||
| The combination of these three risk factors could identify a high-risk (annual event rate: 7.3%; annual stroke rate: 4.3%) and a low-risk group (annual event rate: 2.3%; annual stroke rate: 0.7%) | ||
| Nicolaides | To describe the effect of image normalization on plaque classification and the risk of ipsilateral neurologic events in 1,115 individuals with >50% ICA ACS {mean follow-up [range]: 37.1 [6–84] months} | Only 82 of the 116 neurologic events (71%) developed in patients with plaque types 1–3 before image normalization |
| Following image normalization, 102 of 116 neurologic events (88%) occurred in individuals with plaque types 1–3 | ||
| When plaque types 1–3 were and plaque types 4 and 5 were compared after image normalization, there was a nearly 5-fold risk of having an event was (RR: 4.8; 95% CI: 2.27–10.28; P=0.0001) | ||
| Overall, 49 of the 51 ischemic strokes (96%) developed in individuals with plaque types 1–3 | ||
| For patients with ECST 70–99% diameter ICA stenosis and plaque types 1–3 the 7-year cumulative stroke rate was 14% (2%/year) while it was only 0.9% for individuals with plaque types 4 and 5 (0.14%/year) | ||
| Kakkos | To determine risk factors associated with mortality in 1,101 ACS patients | In Cox multivariate analysis, 6 factors independently predicted mortality risk. Risk factors associated with increased risk were: |
| (I) Age, | ||
| (II) Male gender, | ||
| (III) Cardiac failure, | ||
| (IV) Left ventricular hypertrophy on electrocardiogram (ECG) and | ||
| (V) Myocardial ischemia on ECG | ||
| Antiplatelet therapy was associated with decreased risk | ||
| Kakkos | To investigate whether or not silent embolic infarcts on brain CT scans could predict ipsilateral neurologic events in 821 ACS individuals {mean follow-up [range]: 44.6 [6–96] months} | In 462 patients with 60–99% ACS, the 8-year cumulative event-free rate was 0.81 (2.4% annual event rate) in the absence and 0.63 (4.6% annual event rate) in the presence of embolic infarcts (HR: 1.82; 95% CI: 1.05–3.14; log-rank P=0.032) |
| In individuals with 60–99% ACS, the cumulative stroke-free rate was 0.92 (1.0% annual stroke rate) in the absence and 0.71 (3.6% annual stroke rate) in the presence of embolic infarcts (HR: 3.0; 95% CI: 1.46–6.29; P=0.002) | ||
| In 216 patients with 50–79% ACS, the cumulative TIA or stroke-free rate was 0.90 (1.3% annual rate) in the absence and 0.65 (4.4% annual rate) in the presence of embolic infarcts (log-rank P=0.005) | ||
| Nicolaides | To stratify the cerebrovascular risk of baseline degree of ACS, clinical features and ultrasonic plaque characteristics in 1,121 individuals with 50–99% ICA ACS {mean follow-up [range]: 48 [6–96] months} | A total of 130 first ipsilateral cerebrovascular or retinal ischemic events occurred (59 strokes; 49 TIAs, 22 amaurosis fugax) |
| Severity of stenosis (HR per 10% increase: 1.04; 95% CI: 1.01–1.06), age (HR: 1.42; 95% CI: 1.00–2.02), systolic blood pressure (HR: 1.11; 95% CI: 1.07–1.22), increased serum creatinine (HR: 1.28; 95% CI: 1.09–1.50), smoking history of ≥10 pack-years (HR: 1.65; 95% CI: 1.16–2.34), history of contralateral TIAs or stroke (HR: 3.03; 95% CI: 1.77–5.20), low GSM, increased plaque area (HR: 2.45; 95% CI: 1.76–3.40), plaque types 1 (HR: 20.74; 95% CI: 2.63–163.70) and 2 (HR: 18.79; 95% CI: 2.58–137.03), and the presence of discrete white areas without acoustic shadowing (HR: 2.32; 95% CI: 1.49–3.6) were associated with increased risk for cerebrovascular and ocular ischemic events | ||
| Kakkos | To investigate the hypothesis that JBA in ultrasound images of ACS plaques may predict future ipsilateral ischemic stroke events in 1,121 patients with 50–99% ACS | By use of Kaplan-Meier curves, the mean annual stroke rate was 0.4% in 706 patients with a JBA <4 mm2, 1.4% in 171 patients with a JBA 4–8 mm2, 3.2% in 46 patients with a JBA 8–10 mm2 and 5% in 198 patients with JBA >10 mm2 |
| By use of significant variables (e.g., ACS, discrete white areas without acoustic shadowing, JBA and a history of contralateral TIA or stroke), it was possible to predict the average annual risk of stroke for each patient ranging from 0.1% up to 10.0% | ||
| The size of JBA was proportional to the risk of stroke (area under the receiver-operating characteristic curve: 0.816; 95% CI: 0.77–0.86; P<0.001) | ||
| Kakkos | To identify baseline clinical and ultrasonographic characteristics able to predict progression/regression of ACS and the value of changes in ACS severity on the risk of a first ipsilateral CORI event in 1,121 patients with 50–99% ACS | Among 1,121 patients, ACS regressed in 43 (3.8%) patients, no change was demonstrated in 856 (76.4%) patients and ACS progressed in 222 (19.8%) individuals |
| Increasing age (HR per 10-year increase: 1.19; 95% CI: 1.01–1.41; P=0.044), male gender (HR: 1.71; 95% CI: 1.28–2.28; P=0.001), presence of coronary artery disease (HR: 1.36; 95% CI: 1.04–1.78; P=0.023), elevated plasma creatinine (HR per 20% increase: 1.22; 95% CI: 1.13–1.32; P<0.001) and increasing plaque area (HR: 1.37; 95% CI: 1.14–1.65; P=0.001) were risk factors of increased incidence of progression. | ||
| The 8-year cumulative ipsilateral ischemic stroke rate was 0% in patients with regression, 9% if the stenosis was unchanged and 16% if there was progression (average annual stroke rate over 8 years: 0%, 1.1% and 2.0%, respectively; log-rank P=0.05) | ||
| Giannopoulos | To determine the 5-year all-cause and cardiovascular mortality in patients with ACS | A total of 213 of 1,121 patients (19%) died during follow-up |
| To identify risk factors to be used in mortality risk stratification | The 5-year cumulative survival rate was 77%, while the average annual all-cause mortality was 4.6% | |
| To develop a model for predicting a patient’s 5-year risk of cardiovascular death | The CV mortality prediction model could identify several subgroups of asymptomatic patients with different risk. The highest 90–100% predicted 5-year CV mortality carried 25 times the risk of the low-risk subgroup in which the 5-year predicted CV mortality was 4%. | |
| Independent predictors of all-cause mortality were male gender (HR: 1.63; 95% CI: 1.18–2.25; P=0.009), age (HR per 10-year increase: 1.71; 95% CI: 1.40–2.10; P=0.001), ICA stenosis >80% (HR: 1.67; 95% CI: 1.22–2.28; P=0.001), diabetes mellitus (HR: 1.45; 95% CI: 1.02–2.05; P=0.001), cardiac failure (HR: 2.57; 95% CI: 1.34–4.94; P=0.016), left ventricular hypertrophy (HR: 2.31; 95% CI: 1.52–3.52; P=0.013) and smoking (HR: 1.51; 95% CI: 1.06–2.14; P=0.002) |
ICA, internal carotid artery; ACS, asymptomatic carotid stenosis; ECST, European Carotid Surgery Trial; NASCET, North American Symptomatic Carotid Endarterectomy Trial; RR, relative risk; CI, confidence interval; OR, odds ratio; TIA, transient ischemic attack; JBA, juxtaluminal black area; GSM, gray scale median; HR, hazard ratio; CORI, cerebral or retinal ischemic; CV, cardiovascular.