| Literature DB >> 33931408 |
Zhui Li1, Hong Yang2, Wenfang Zhang2, Jing Wang2, Yu Zhao1, Jun Cheng3.
Abstract
OBJECTIVE: This study aimed to investigate the prevalence and identify predictive factors of asymptomatic carotid artery stenosis (ACAS) in Southern Chinese patients with peripheral arterial disease (PAD).Entities:
Keywords: carotid artery stenosis; peripheral arterial disease; prevalence
Mesh:
Year: 2021 PMID: 33931408 PMCID: PMC8098992 DOI: 10.1136/bmjopen-2020-042926
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Diagnostic criteria for ultrasound examination of carotid artery stenosis
| Degree of stenosis (%) | Primary parameters | Additional parameters | ||
| ICA PSV (cm/s) | Plaque estimate | PSVICA/PSVCCA | ICA EDV (cm/s) | |
| Normal | <125 | None | <2.0 | <40 |
| Mild (<50) | <125 | <50 | <2.0 | <40 |
| Moderate (50–69) | 125–230 | ≥50 | 2.0–4.0 | 40–100 |
| Severe (≥70 but less than near occlusion) | >230 | ≥50 | >4.0 | >100 |
| Severe (near occlusion) | High, low or undetectable | Visible | Variable | Variable |
| Total occlusion | Undetectable | Visible, no detectable lumen | Not applicable | Not applicable |
*Plaque estimate (diameter reduction) with greyscale and colour Doppler ultrasound (US).
CCA, common carotid artery; EDV, end-diastolic velocity; ICA, internal carotid artery; PSV, peak systolic velocity.
Figure 1Flow chart of patients entering the data analysis set. ABI, ankle brachial index; CAD, coronary artery disease; CTA, CT angiography; PAD, peripheral arterial disease; TAO, thromboangiitis obliterans.
Clinical characteristics and demographics of the patients with PAD
| Characteristic | Patients with PAD (n=653) |
| Age (years) | 71.5±5.5 |
| BMI (kg/m2) | 23.8±2.4 |
| Sex | |
| Male | 365 (55.9%) |
| Female | 288 (44.1%) |
| Smoking | 251 (38.4%) |
| Alcohol consumption | 234 (35.8%) |
| Diabetes mellitus | 207 (31.7%) |
| Hypertension | 294 (45.0%) |
| Hypercholesterolaemia | 274 (42.0%) |
| ABI | |
| 0.81–0.90 | 108 (16.5%) |
| 0.71–0.80 | 73 (11.2%) |
| 0.61–0.70 | 146 (22.4%) |
| 0.51–0.60 | 138 (21.1%) |
| 0.41–0.50 | 112 (17.2%) |
| ≤0.4 | 76 (11.6%) |
| Fontaine stage | |
| I | 67 (10.3%) |
| II | 189 (28.9%) |
| III | 138 (21.1%) |
| IV | 259 (39.7%) |
| Lesions | |
| BK | 125 (19.1%) |
| AK | 269 (41.2%) |
| Mixed | 259 (39.7%) |
ABI, ankle brachial index.; AK, above the knee; BK, below the knee; BMI, body mass index; PAD, peripheral arterial disease.
Distribution of patients according to the degree of carotid artery stenosis
| Degree of carotid stenosis | Number of patients (n=653) |
| Normal | 238 (36.6%) |
| Mild stenosis (<50%) | 287 (44.0%) |
| Moderate stenosis (50%–69%) | 68 (10.4%) |
| Severe stenosis (70%–99%) | 46 (7.0%) |
| Occlusion | 14 (2.1%) |
Logistic regression analysis of risk factors for carotid artery stenosis in patients with PAD
| Factors | Degree of stenosis | OR (95% CI) | P value | |
| ≥50% | <50% | |||
| Age (years) | 2.00 (1.25 to 3.18) | 0.004* | ||
| ≥70 | 96 (75.0%) | 322 (61.3%) | ||
| <70 (ref) | 32 (25.0%) | 203 (38.7%) | ||
| Sex | 1.28 (0.84 to 1.94) | 0.246 | ||
| Male | 66 (51.6%) | 299 (57.0%) | ||
| Female (ref) | 62 (48.4%) | 226 (43.0%) | ||
| BMI (kg/m2) | 1.28 (0.83 to 1.94) | 0.258 | ||
| ≥24 | 57 (44.5%) | 210 (40.0%) | ||
| <24 (ref) | 71 (55.5%) | 315 (60.0%) | ||
| Smoking | 1.27 (0.83 to 1.94) | 0.264 | ||
| Yes | 55 (43.0%) | 196 (37.3%) | ||
| No (ref) | 73 (57.0%) | 329 (62.7) | ||
| Alcohol consumption | 1.14 (0.73 to 1.76) | 0.555 | ||
| Yes | 48 (37.5%) | 186 (35.4%) | ||
| No (ref) | 80 (62.5%) | 339 (64.6%) | ||
| Diabetes mellitus | 1.19 (0.77 to 1.84) | 0.430 | ||
| Yes | 46 (35.9%) | 161 (30.7%) | ||
| No (ref) | 82 (64.1%) | 364 (69.3%) | ||
| Hypertension | 1.20 (0.78 to 1.83) | 0.391 | ||
| Yes | 59 (40.1%) | 235 (44.8%) | ||
| No (ref) | 69 (59.9%) | 290 (55.2%) | ||
| Hypercholesterolaemia | 1.39 (0.91 to 2.11) | 0.126 | ||
| Yes | 61 (47.7%) | 213 (40.6%) | ||
| No (ref) | 67 (52.3%) | 294 (59.4%) | ||
| ABI | ||||
| 0.81–0.90 (ref) | 8 (6.3%) | 100 (19.1%) | ||
| 0.71–0.80 | 6 (4.7%) | 67 (12.8%) | 1.50 (0.57 to 3.87) | 0.872 |
| 0.61–0.70 | 18 (14.1%) | 128 (24.4%) | 1.10 (0.34 to 3.52) | 0.408 |
| 0.51–0.60 | 30 (23.4%) | 108 (20.6%) | 2.06 (0.81 to 5.17) | 0.126 |
| 0.41–0.50 | 39 (30.5%) | 73 (13.9%) | 3.39 (1.34 to 8.55) | 0.010* |
| ≤0.4 | 27 (21.1%) | 49 (9.3%) | 3.86 (1.47 to 10.06) | 0.006* |
| Fontaine stage | ||||
| I (ref) | 4 (3.1%) | 63 (8.8%) | ||
| II | 17 (13.3%) | 172 (32.8%) | 1.93 (0.56 to 6.60) | 0.293 |
| III | 25 (19.5%) | 113 (21.5%) | 3.27 (0.97 to 10.98) | 0.055 |
| IV | 82 (64.1%) | 177 (33.7%) | 4.53 (1.47 to 13.88) | 0.008* |
| Lesions | ||||
| BK (ref) | 19 (14.8%) | 106 (20.2%) | ||
| AK | 51 (39.8%) | 218 (41.5%) | 1.46 (0.78 to 2.71) | 0.228 |
| Mixed | 58 (45.3%) | 201 (38.3%) | 1.54 (0.83 to 2.82) | 0.156 |
*P<0.05.
ABI, ankle brachial index; AK, above the knee; BK, below the knee;BMI, body mass index; PAD, peripheral arterial disease.
Previous studies screening patients with PAD for asymptomatic carotid artery disease
| Author | Year | Country | Patients (n) | Degree of stenosis | ||
| 50%–69% | 70%–99% | Occlusion | ||||
| Pan | 2019 | China | 200 | 29.5% | 22% | 1.5% |
| Jung | 2018 | South Korea | 231 | 12.1% | 11.3% | None |
| Bez and Navarro | 2014 | Brazil | 100 | 40% | 17% | 2% |
| Marsico | 2013 | Italy | 86 | None | 17% | None |
| Bavil | 2011 | Iran | 95 | None | 4% | None |
| Yun | 2010 | South Korea | 340 | 6.8%–7.4% | 2.6%–5.6% | 2.4%–4.7% |
None: not reported in the study.
PAD, peripheral arterial disease.