【摘要】 目的 探讨颈动脉粥样硬化(CAS)斑块及血脂、血糖(BG)、纤维蛋白原(Fbg)水平与脑梗死的关系。方法 对2007年11月—2008年12月入院的91例脑梗死患者,应用彩色多普勒检测其颈动脉内中膜厚度(IMT)、斑块数和性状,同时检测血脂、血糖、纤维蛋白原水平,并与正常对照组比较。结果 ①与正常对照组比较,脑梗死组IMT明显增厚、CAS斑块检出率、软斑百分比明显增高(Plt;005)。②血清总胆固醇(TC)、低密度脂蛋白(LDL)、BG及Fbg水平脑梗死组明显高于正常对照组(Plt;005);脑梗死有斑块亚组明显高于无斑块亚组(Plt;005)。③脑梗死组IMT与TC、LDL、BG、Fbg水平(r分别为0.32、0.34、0.30、0.36,Plt;005)。结论 脑梗死患者IMT增厚,CAS斑块及软斑发生率高。BG、TC、LDL及Fbg水平增高是脑梗死及CAS斑块发生的危险因素。
【摘要】 目的 探讨血尿酸水平、颈动脉斑块与冠心病之间的关系。 方法 收集2006年1月-2009年12月拟诊为冠心病的住院患者280例,冠状动脉造影检查冠状动脉狭窄程度gt;50%的194例为冠心病组,冠状动脉无狭窄或狭窄程度lt;50%的86例为对照组;冠心病组又分为单支、双支、多支病变亚组。分别测定冠心病组与对照组颈总动脉与颈动脉分叉处内膜中层厚度(IMT)、等级评分、Crouse积分、血尿酸浓度。结果 与对照组相比,冠心病组颈总动脉与颈动脉分叉处IMT、等级评分、Crouse积分、血尿酸浓度均高于对照组,差异有统计学意义。在冠心病组,随病变分支的增多,颈动脉超声检查指标与血尿酸随之升高(Plt;0.05或0.01)。 结论 颈动脉IMT、等级评分、Crouse积分、血尿酸浓度与冠心病相关,是冠心病的独立危险因素。【Abstract】 Objective To investigate the relationships between serum uric acid levels, carotid artery plaque and coronary heart disease (CHD). Methods 194 patients with CHD and 86 nonCHD patients were selected through coronary angiography in patients with essential hypertension. CHD group was divided into three subgroups including a single branch, doublebranch and multivessel disease. Intimamedia thickness (IMT) of carotid artery and carotid bifurcation, grade score, Crouse score, serum uric acid concentrations were detected in patients with coronary heart disease and control group. Results IMT of carotid artery and carotid bifurcation, grade score,crouse score, serum uric acid concentrations were higher in CHD group than that in control group, and the difference was statistically significant. In the CHD group, ultrasound parameters of carotid artery and serum uric acid increased with the increase in branch lesions (Plt;005 or 001). Conclusions Carotid IMT, grade score, Crouse score, serum uric acid concentration relate to coronary heart disease, which is an independent risk factor for coronary heart disease, respectively.
目的:探讨老年人颈动脉粥样硬化临床特点及其相关危险因素。方法:收集符合纳入标准的住院老年患者临床资料,颈动脉多普勒检测颈总动脉内中膜厚度(IMT)、斑块有无及性质、管腔狭窄程度。结果:(1)老年人群颈总动脉IMT异常者占50.53％;颈动脉斑块阳性者占78.7％;颈动脉狭窄者占20％,以轻度狭窄为主。(2)颈动脉斑块好发部位依次是左颈总分叉、左颈总动脉、右颈总动脉、右颈总分叉、颈动脉窦、左颈内动脉、右颈内动脉、右颈外动脉、左颈外动脉。(3)颈动脉斑块阳性人群合并高血压 心肌梗塞 脑血管意外和心脑血管事件率增加。(4)颈动脉IMT异常组较IMT正常组年龄、收缩压、甘油三酯,合并脑血管事件和心脑血管事件明显增加,同时颈总动脉IMT增厚伴颈动脉斑块阳性率、管腔狭窄率及斑块累及部位增加。结论:老年患者颈动脉粥样硬化的发病率高,斑块好发于颈动脉分叉、颈总动脉、颈内动脉,并以左侧常见。颈总动脉IMT异常组合并脑血管事件和心脑血管事件率明显增加,颈总动脉IMT增厚增加颈动脉斑块和管腔狭窄的发生率。
ObjectiveTo study the characteristics of carotid atherosclerotic plaque and investigate the relationship between visfatin and plaque stabilization. Methodsfifty-six patients with carotid stenosis were divided into symptomatic group (n=31) and asymptomatic group (n=25) based on the clinical manifestation and onset time.All plaque specimens were stained with HE and Masson trichrome staining and studied pathologically.The plaques were grouped into stable and unstable plaques based on thickness of the fibrous cap and the area of lipid-rich core in the plaques.The expression of visfatin was detected by immunohistochemistry staining. Results①The proportion of unstable plaques were significantly higher in symptomatic group than in asymptomatic group (67.74% vs 36.00%, P < 0.05).②Compared with stable plaques, unstable plaques had thinner fibrous cap, larger lipid necrotic core, and higher proportion of hemorrhage: (49.87±8.75)μm vs (74.54±6.80)μm (P < 0.001), (65.63±12.97)% vs (31.81±5.13)% (P < 0.001), and 63.33% vs 30.77% (P < 0.05).③The integral optical density value of expressed visfatin in unstable plaques was significantly more than in stable plaques (84 165.47±9 183.12 vs 55 694.08±4 818.57, P < 0.001). ConclusionsThe plaque destabilization is closely related to the clinical symptoms of atherosclerosis.The thickness of fibrous cap, area of lipid-rich core, and hemorrhage play an important role in the plaque stabilization.The visfatin is related to atherogenesis and plaque destabilization.
ObjectiveTo study the correlation between neck artery vascular sclerosis and homocysteine levels in hypertensive patients. MethodsA total of 2 132 patients with hypertension participated in the program of "Stroke screening and prevention in Dongying city" were included from Sep. 2012 to Jan. 2013. Questionnaire, physical examination, biochemical blood tests and carotid artery ultrasound were conducted in all included patients. According to the level of homocysteine (Hcy), patients were divided into three groups:716 patients with Hcy level less than 12.3 mm/L were in Group 1, 703 patients with Hcy level 12.3 to 16.5 mm/L were in Group 2, and 713 patients with Hcy level more than 16.5 mm/L were in Group 3. The influence of Hcy levels on carotid atherosclerosis was analyzed. Results① The prevalence rate for carotid plaques in Groups 1, 2, and 3 were 50.28%, 60.03% and 65.36%, respectively. The prevalence rate for carotid plaques in Group 2 was higher than that in Group 1 with a statistical difference (OR=1.485, 95% CI 1.203 to 1.833, P=0.000). The prevalence rate in Group 3 was also higher than that in Group 1 with a statistical difference (OR=1.866, 95% CI 1.508 to 2.308, P=0.000). ② The prevalence rate for carotid plaques was 62.24% in the rural population, and 52.39% in the urban population. The difference between urban and rural populations was statistically significant (OR=1.500, 95% CI 1.259 to 1.788, P=0.000). ③ Using the presence of carotid plaques as a dependent variable and Hcy level as a covariant, logistic regression analysis found that the plaque formation in Group 2 was 1.491 times than in Group 1 and the plaque formation in Group 3 was 1.752 times than in Group 1. After adjusting the risk factors (gender, age, BMI, TG, TC, LDL-C, HDL-C and blood sugar level), the results showed that the plaque formation in Group 2 was 1.388 times than in Group 1, and the plaque formation in Group 3 was 1.452 times than in Group 1. ConclusionThere is a correlation between the increased incidence of carotid plaque and homocysteine levels in patients with hypertension. The incidence of carotid plaque in the rural population with hypertension is higher than that in the urban population. In the population with hypertension, high homocysteine level is an independent risk factor for the formation of carotid plaques.
A method of ultrasonic simulation based on the FIELD II software platform for carotid artery plaque was proposed according to the analysis for geometrical shape, tissue characteristics and acoustic properties of carotid artery plaques in clinic, and then a simulation system was developed by using the MATLAB graphical user interface (GUI). In the simulation and development, a three-dimensional geometric model of blood vessel with plaques was set up by using the metaball implicit surface technique, and a tissue model was established based on the scatterers with spatial position of gamma random distribution. Comparison of the statistical and geometrical characteristics from simulated ultrasound B-mode images with those based on clinical ones and preset values, the results fully demonstrated the effectiveness of the simulation methods and system.
Objective To construct a radiomics model for identifying clinical high-risk carotid plaques. Methods A retrospective analysis was conducted on patients with carotid artery stenosis in China-Japan Friendship Hospital from December 2016 to June 2022. The patients were classified as a clinical high-risk carotid plaque group and a clinical low-risk carotid plaque group according to the occurrence of stroke, transient ischemic attack and other cerebrovascular clinical symptoms within six months. Six machine learning models including eXtreme Gradient Boosting, support vector machine, Gaussian Naive Bayesian, logical regression, K-nearest neighbors and artificial neural network were established. We also constructed a joint predictive model combined with logistic regression analysis of clinical risk factors. ResultsFinally 652 patients were collected, including 427 males and 225 females, with an average age of 68.2 years. The results showed that the prediction ability of eXtreme Gradient Boosting was the best among the six machine learning models, and the area under the curve (AUC) in validation dataset was 0.751. At the same time, the AUC of eXtreme Gradient Boosting joint prediction model established by clinical data and carotid artery imaging data validation dataset was 0.823. Conclusion Radiomics features combined with clinical feature model can effectively identify clinical high-risk carotid plaques.