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Risk factors for hypoechoic carotid plaque in healthy physical-examination population

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  • 01.12.2024
  • Research
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Abstract

Background

We studied the characteristics of carotid ultrasound plaque in a healthy physical-examination population and analyzed the risk factors for hypoechoic carotid plaque for early control and prevention of stroke.

Results

A total of 1333 healthy physical-examination individuals were included in this study, including 457 females and 876 males. According to the results of carotid artery ultrasound, they were divided into hyperechoic carotid plaque (n = 940) and hypoechoic carotid plaque (n = 393). Multivariate logistic analysis showed that male, alcohol consumption, and low-density lipoprotein were risk factors for hypoechoic carotid plaque. SPSS 25.0 software was used to draw the receive operating characteristic curve and calculate the prediction probability of the risk factor indicators obtained by the multifactor model. The area under the curve was also calculated to be 0.623 (95% CI = 0.591–0.655).

Conclusion

Male, alcohol consumption, and low-density lipoprotein are risk factors for hypoechoic carotid plaque in a healthy physical-examination population.
Meng Fu and Yani Fan are Co−first authors.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
AIS
Acute ischemic stroke
ROC
Receiver operating characteristic
FBG
Fasting blood glucose
TG
Triglycerides
TC
Total cholesterol
LDL
Low-density lipoprotein
HDL
High-density lipoprotein
VLDL
Very low-density lipoprotein
Cr
Creatinine
Bun
Blood urea nitrogen
UA
Uric acid
ROC
Receiver operating characteristic
AUC
Area under the ROC curve
OR
Odds ratio

Background

Since 2015 to date, acute ischemic stroke (AIS) has become the leading cause of death and disability in China. The burden of stroke in China has gradually increased, posing a major threat to the health of Chinese citizens [1]. TOAST typing of AIS includes the following [2, 3]:(1) thrombosis or embolism due to atherosclerosis of large arteries, (2) cardiogenic embolism, (3) occlusion of small blood vessels, (4) other identified causes, and (5) uncertain causes. Atherosclerosis is a progressive disease that is essentially an accumulation of lipid and fibrous components in large arteries [4]. A key component of atherosclerosis leading to clinical events in stroke is the infiltration of inflammatory cells onto the surface of the carotid plaque, which promotes plaque rupture and leads to embolization or carotid occlusion [5]. The assessment of plaque morphological characteristics can predict the risk of ipsilateral stroke in patients with asymptomatic carotid stenosis [6]. Ultrasound is a radiation-free and cost-effective technique that is often considered patient friendly and ideal for immediate diagnosis and follow-up [7]. A meta-study [8] has demonstrated that the assessment of atherosclerotic plaque characteristics by carotid ultrasound accurately predicts the risk of cerebrovascular symptoms in asymptomatic and symptomatic patients. Moreover, the analysis of carotid plaque echogenicity identifies those at high risk of cardiovascular events in asymptomatic and symptomatic patients. Hypoechoic carotid plaque is usually considered to be associated with increased cerebrovascular risk [9, 10]. Several studies have shown that hypoechoic carotid plaques are associated with elevated lipid levels, low levels of high-density lipoprotein, and elevated postprandial triglyceride levels [1113]. The correlation between classical vascular risk factors and carotid plaque development has been extensively studied. However, the risk factors of hypoechoic plaques should elicit more research attention because vulnerable carotid plaques play a decisive role in the link of stroke occurrence. Accordingly, we investigated the carotid ultrasound plaque characteristics of healthy physical-examination population and analyzed the risk factors of hypoechoic plaques for the early control and prevention of stroke.

Methods

This study was a retrospective one. We collected data related to 1,333 healthy physical-examination individuals from the Physical Examination Department from August 1, 2022, to December 31, 2022.
People who met the following criteria were included: healthy physical-examination population aged > 40 years, and carotid ultrasound (brand: Philips, model: Affiniti 70, manufacturer name: Philips Ultrasound, Inc., country of origin: USA) findings suggestive of the presence of carotid plaque in all enrollees. The following populations were excluded from this study: patients with malignant tumors, connective-tissue system diseases, hematologic system diseases, autoimmune system diseases, osteoporosis, severe liver and kidney damage, and mental disorder.
We identified the profile data such as age, gender, fasting blood glucose (FBG), triglycerides (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), very low-density lipoprotein (VLDL), creatinine (Cr), blood urea nitrogen (Bun), uric acid (UA), history of smoking, history of alcohol consumption, and carotid artery ultrasound results.
Carotid artery ultrasound was performed by an ultrasound specialist. All subjects were placed in a supine position with the lateral neck fully exposed and head tilted to the opposite side. The common carotid artery and its branches were detected successively, and the intimal thickness of the tube wall was observed. Carotid atherosclerotic plaque was defined as a focal carotid intima–media thickness greater than 1.1 mm with localized protrusion of the arterial wall into the arterial lumen. Based on the carotid ultrasound results, the healthy physical-examination population was divided into hypoechoic and hyperechoic plaque groups.

Statistical analysis

SPSS 25.0 statistical software (IBM Corp., IBM SPSS Statistics for Windows version 25.0, full window menu mode, Armonk, NY, USA) was used to analyze the data. For the comparison of baseline features, normal distribution test was initially performed. The data did not conform to normal distribution. Continuous variables are expressed as medians and interquartile ranges, and nonparametric two independent sample tests were performed. X2 test was used for categorical variables, and chi-square tests stratified by gender were performed. Univariate analysis was performed first, and then multivariate logistic stepwise regression analysis was performed on data with P < 0.05 in univariate analysis. Taking the occurrence of hypoechoic carotid plaque as the gold standard, receiver operating characteristic (ROC) curve was drawn, and the area under the ROC curve (AUC) was calculated. The calibration chart of the prediction model for carotid atherosclerosis was drawn. All tests were two sided, and P < 0.05 was considered statistically significant.

Results

A total of 1333 healthy physical-examination people were included in this study. According to the results of carotid artery ultrasound, they were divided into hyperechoic carotid plaque (n = 940) and hypoechoic carotid plaque (n = 393). The baseline data of the two groups showed that the gender, TC, LDL, HDL, Cr, UA, smoking history, and alcohol consumption history were statistically significant (P < 0.05; Table 1).
Table 1
Basic data of hypoechoic and hyperechoic plaque groups in healthy physical-examination population
Risk factors
Hyperechoic carotid plaque (n = 940)
Hypoechoic carotid plaque (n = 393)
Z/X2 value
P value
Age (year)
57 (12)
57 (12)
− 1.142
0.253
Gender
  
13.224
0.000*
 Male
589 (62.7%)
287 (73.0%)
  
 Female
351 (37.3%)
106 (27.0%)
  
VLDL(mmol/L)
0.66 (0.45)
0.70 (0.46)
− 1.393
0.164
TG(mmol/L)
1.45 (0.99)
1.53 (1.01)
− 1.403
0.160
TC(mmol/L)
5.05 (1.49)
5.30 (1.25)
− 3.650
0.000*
LDL(mmol/L)
3.00 (1.15)
3.21 (0.97)
− 4.725
0.000*
HDL(mmol/L)
1.34 (0.42)
1.29(0.43)
− 2.151
0.031*
FBG(mmol/L)
6.69 (1.98)
6.62(1.81)
− 1.206
0.228
Cr(μmol/L)
73.76 (18.90)
77.00 (22.19)
− 3.275
0.001*
Bun(μmol/L)
5.10 (1.90)
4.99 (1.68)
− 1.395
0.163
UA(μmol/L)
343.00 (118.00)
366.00 (135.50)
− 2.863
0.004*
Smoking
  
7.112
0.008*
 Yes
161 (17.1%)
92 (23.4%)
  
 No
779 (82.9%)
301 (76.6%)
  
Alcohol consumption
  
21.667
0.000*
 Yes
280 (29.8%)
169 (43.0%)
  
 No
660 (70.2%)
224 (57.0%)
  
VLDL Very low-density lipoprotein, TG Triglycerides, TC Total cholesterol, LDL Low-density lipoprotein, HDL High-density lipoprotein, FBG Fasting blood glucose, Cr Creatinine, Bun Blood urea nitrogen, UA Uric acid
*P < 0.05
This study included 457 females and 876 males. We performed a stratified chi-square analysis of carotid plaque data from healthy physical-examination population based on gender differences. Before stratified chi-square analysis, continuous variables such as laboratory indicators need to be converted into binary categorical variables. The study variable assignment is detailed in Table 2. Comparing the data of two groups of categorical variables, we found that the difference in gender, TC, LDL, Cr, UA, smoking history, and alcohol consumption history between the hyperechoic and hypoechoic carotid plaque groups was statistically significant (P < 0.05). Refer to Table 3. Stratified chi-square test according to gender showed that the homogeneity test of odds ratio (OR) value between strata of TC was P < 0.05. After stratification according to gender, TC was found to be a risk factor for hypoechoic carotid plaque in males (OR = 1.337, 95% CI = 1.007–1.776) and females (OR = 2.646, 95% CI = 1.638–4.276). Stratified chi-square results showed that LDL, TC, alcohol consumption, and UA were risk factors for hypoechoic carotid plaque (Table 4).
Table 2
Assignment of dichotomous variables
Study variables
Assignment(0)
Assignment(1)
Gender
female
male
FBG
 ≤ 6.1
 > 6.1
TC
 ≤ 5.2
 > 5.2
TG
 ≤ 1.7
 > 1.7
HDL
 ≥ 1.1
 < 1.1
LDL
 < 3.4
 ≥ 3.4
Cr
 ≤ 73
 > 73
UA
 ≤ 357
 > 357
Bun
 ≤ 7.5
 > 7.5
Smoking
No
Yes
Drinking
No
Yes
VLDL
 ≤ 0.78
 > 0.78
Age
 ≤ 60
 > 60
FBG Fasting blood glucose, TC Total cholesterol, TG Triglycerides, HDL High-density lipoprotein, LDL Low-density lipoprotein, Cr Creatinine, UA Uric acid, Bun Blood urea nitrogen, VLDL Very low-density lipoprotein
Table 3
Comparison of categorical variable data of carotid plaque in healthy physical-examination population
Risk factors
Hyperechoic carotid plaque (n = 940)
Hypoechoic carotid plaque (n = 393)
X2 value
P value
Age
  
0.300
0.584
  ≤ 60
583 (62.0%)
250 (63.6%)
  
  > 60
357 (38.0%)
143 (36.4%)
  
Gender
  
13.224
0.000*
 Male
589 (62.7%)
287 (73.0%)
  
 Female
351 (37.3%)
106 (27.0%)
  
VLDL
  
2.842
0.092
 Normal
601 (63.9%)
232 (59.0%)
  
 Abnormal
339 (36.1%)
161 (41.0%)
  
TG
  
3.274
0.070
 Normal
595 (63.3%)
228 (58.0%)
  
 Abnormal
345 (36.7%)
165 (42.0%)
  
TC
  
11.498
0.001*
 Normal
519 (55.2%)
177 (45.0%)
  
 Abnormal
421 (44.8%)
216 (55.0%)
  
LDL
  
4.797
0.029*
 Normal
642 (68.3%)
244 (62.1%)
  
 Abnormal
298 (31.7%)
149 (37.9%)
  
HDL
  
2.886
0.089
 Normal
752 (80.0%)
298 (75.8%)
  
 Abnormal
188 (20.0%)
95 (24.2%)
  
FBG
  
0.965
0.326
 Normal
311 (33.1%)
141 (35.9%)
  
 Abnormal
629 (66.9%)
252 (64.1%)
  
Cr
  
7.284
0.007*
 Normal
449 (47.8%)
156 (39.7%)
  
 Abnormal
491 (52.2%)
237 (60.3%)
  
Bun
  
0.952
0.329
 Normal
879 (93.5%)
373 (94.9%)
  
 Abnormal
61 (6.5%)
20 (5.1%)
  
UA
  
9.158
0.002*
 Normal
523 (55.6%)
183 (46.6%)
  
 Abnormal
417 (44.4%)
210 (53.4%)
  
Smoking
  
7.112
0.008*
 Yes
161 (17.1%)
92 (23.4%)
  
 No
779 (82.9%)
301 (76.6%)
  
Alcohol consumption
  
21.667
0.000*
 Yes
280 (29.8%)
169 (43.0%)
  
 No
660 (70.2%)
224 (57.0%)
  
VLDL Very low-density lipoprotein, TG Triglycerides, TC Total cholesterol, LDL Low-density lipoprotein, HDL High-density lipoprotein, FBG Fasting blood glucose, Cr Creatinine, Bun Blood urea nitrogen, UA Uric acid
*P < 0.05
Table 4
Stratified chi-square analysis of healthy physical-examination population in the carotid plaque
Index
X2 value
P value
Test of the homogeneity of the OR values (P value)
OR value (95%CI)
P value
Age
0.300
0.584
0.233
0.933 (0.730–1.192)
0.579
FBG
0.965
0.326
0.709
0.856 (0.668–1.098)
0.221
LDL
4.797
0.029
0.081
1.358 (1.060–1.739)
0.016*
HDL
2.886
0.089
0.228
1.205 (0.907–1.601)
0.199
TC(male)
4.038
0.044
0.016
1.337 (1.007–1.776)
0.000*
TC(female)
16.473
0.000
0.016
2.646 (1.638–4.276)
0.000*
TG
3.274
0.070
0.861
1.223 (0.960–1.557)
0.103
Smoking
7.112
0.008
0.991
1.329 (0.988–1.787)
0.060
Alcohol consumption
21.667
0.000
0.975
1.606 (1.240–2.080)
0.000*
Cr
7.284
0.007
0.219
1.241 (0.964–1.596)
0.093
Bun
0.952
0.329
0.571
0.738 (0.438–1.246)
0.256
UA
9.158
0.002
0.584
1.328 (1.042–1.693)
0.022*
VLDL
2.842
0.092
0.983
1.207 (0.947–1.538)
0.128
FBG Fasting blood glucose, TC Total cholesterol, TG Triglycerides, HDL High-density lipoprotein, LDL Low-density lipoprotein, Cr Creatinine, UA Uric acid, Bun Blood urea nitrogen, VLDL Very low-density lipoprotein
*P < 0.05
Gender, age, LDL, TC, history of alcohol consumption and smoking, Cr, and UA were included in multivariate logistic analysis. Results suggested that male, alcohol consumption, and LDL were risk factors for hypoechoic carotid plaque (Table 5).
Table 5
Multivariate logistic analysis of hypoechoic carotid plaque formation in healthy physical-examination population
Risk factors
B
SB
Wald
Freedom
P value
OR value
95% CI of OR value
Lower limit
Upper limit
Male
0.370
0.142
6.773
1
0.009*
1.448
1.096
1.913
Alcohol consumption
0.492
0.133
13.595
1
0.000*
1.635
1.259
2.123
LDL
0.399
0.079
25.443
1
0.000*
1.490
1.276
1.739
Constant
− 2.532
0.281
80.931
1
0.000
0.079
  
LDL Low-density lipoprotein
*P < 0.05
SPSS 25.0 software was used to draw the ROC curve and calculate the AUC to predict the fitting degree of the model. The AUC was 0.623 (Table 6 and Fig. 1).
Table 6
The AUC value of hypoechoic carotid plaque formation
Hypoechoic carotid plaque formation
AUC(95% CI)
Hosmer–Lemeshow test(P value)
0.623(0.591–0.655)
9.858(P = 0.275*)
*P > 0.05
Fig. 1
ROC curve of hypoechoic carotid plaque formation. AUC = 0.623, 95%CI (0.591–0.655)
Bild vergrößern
A calibration plot of the prediction model for hypoechoic carotid plaque formation was drawn, as shown in Fig. 2. The measured and predicted probabilities are shown in Table 7.
Fig. 2
Calibration of a predictive model for hypoechoic carotid plaque formation
Bild vergrößern
Table 7
Measured and predicted values of a predictive model for hypoechoic carotid plaque formation
Actual measurement
Anticipation
Total
Measured probability
Prediction probability
16
21.239
133
0.120
0.160
26
26.416
134
0.194
0.197
34
30.111
134
0.254
0.225
29
33.226
134
0.216
0.248
45
36.479
133
0.338
0.274
38
39.980
133
0.286
0.301
51
43.662
133
0.383
0.328
51
47.851
134
0.381
0.357
49
53.922
136
0.360
0.396
54
60.113
129
0.419
0.466

Discussion

The prevalence of carotid plaque is rising, and its global burden is increasing. Early stages of carotid plaques are primarily characterized by carotid intima–media thickening. In later stages, inflammatory cell infiltration and an increased risk of plaque rupture mark an increased risk of cardiovascular events. A meta-analysis study has shown that atherosclerosis may increase the risk of dementia after stroke [14]. Early ultrasonography can detect abnormalities in the carotid arteries [15]. The nature of carotid plaque can be categorized as hypoechoic, mixed echogenic, and strongly echogenic based on ultrasound findings. Hypoechoic and mixed echo plaques are unstable plaques, indicating that the plaque has a vulnerable nature [16, 17]. It is rich in more lipid components and is at risk of rupture. A previous study [18] has shown that the size of hypoechoic plaques is linearly correlated with the risk of stroke, with an area under the ROC curve of 0.816. Therefore, identifying reliable risk factors for plaque echogenicity is essential for the early prevention of acute cardiovascular and cerebrovascular diseases.
Alcohol consumption, a major risk factor contributing to the global disease burden, was consumed by approximately 47% of adults worldwide by 2017 [19]. A Chinese study [20] investigated the causal relationship of alcohol intake with carotid artery thickness and atherosclerosis in 22,000 adults. The findings suggest that high levels of alcohol intake are associated with higher carotid plaque burden but not with carotid intima–media thickness. Another study [21] has found that alcohol consumption is associated with carotid atherosclerosis. Jiao Y [22] and coworkers found that noninvasive carotid ultrasound combined with serum markers can identify asymptomatic patients with vulnerable carotid plaque early. However, they do not find an association between alcohol consumption and hypoechoic carotid plaque. The results of stratified chi-square analysis in the present study showed that alcohol consumption was a risk factor for hypoechoic carotid plaques (OR = 1.606; 95% CI = 1.240–2.080). Multifactorial logistic analysis similarly showed that alcohol consumption was a risk factor for hypoechoic carotid plaques.
The prevalence and morphology of carotid atherosclerosis have been [23] assessed in 3016 men and 3404 women by ultrasound. The carotid plaques are found to be more likely to be softer in men than in women, and the proportion of soft plaques in men increases with age. Another study [24] has investigated gender differences in atherosclerosis in patients with AIS. In these patients, gender differences have no effect on the prevalence of intracranial atherosclerosis, whereas extracranial atherosclerosis is less prevalent in women than in men. The multifactorial logistic analysis in this study pointed out that being male is one of the risk factors for the hypoechoic carotid plaque.
LDL is the best lipid predictor of the extent of atherosclerosis and is a determinant of vulnerable plaques. It predicts dangerous, rupture-prone, and lipid-rich plaques in the carotid arteries [25]. LDL is further oxidized in plaques, and high levels of oxidized LDL increase the risk of rupture of atherosclerotic lesions [26]. The target value of LDL for reducing cardiovascular events after stroke has also been explored. The included subjects are treated by intensive lipid-lowering therapy with statins, and the median follow-up is 3.5 years. The primary endpoints of the main cardiovascular events studied include ischemic stroke, myocardial infarction, and death from cardiovascular causes. After ischemic stroke or transient ischemic attack due to atherosclerosis, the risk of subsequent cardiovascular events is lower in patients with a target value of less than 70 mg/dL than that in patients with a target value of 90 mg/dL to 110 mg/dL for LDL cholesterol [27]. Teng Y and coworkers found that in young adults without overt cardiovascular disease, risk factors for increased carotid artery intimal–medial thickness include age, male, body mass index, TG, LDL, homocysteine, UA, and smoking [28]. LDL is found to be correlated with hypoechoic carotid plaques as a risk factor for their formation. LDL levels are closely related to the nature of plaque vulnerability and cardiovascular events. Early control of the risk factors has an important impact on the prevention of stroke events.
In this study, 1333 healthy physical-examination individuals with carotid plaque including 457 females and 876 males were enrolled. Multifactorial logistic analysis suggested that men, alcohol consumption, and LDL were risk factors for hypoechoic carotid plaque formation. The predictive probability of the risk factor indicators derived from the multifactorial model was then plotted as an ROC curve with AUC = 0.623 (95% CI = 0.591–0.655). However, this study had some limitations. First, all study populations were selected from a single center. Second, women were fewer. Therefore, future research design should include the impact of gender differences.

Conclusion

Male, alcohol consumption, and LDL are risk factors for hypoechoic carotid plaque in healthy physical-examination population.

Acknowledgements

Not applicable.

Declarations

This study was approved by the Ethics Committee of Tangshan Gongren Hospital. Date: 2023.06.26. Ethics number: [2023] Ethical Review Study No. (097). After review by the ethics committee, it was agreed to conduct this study.
This study is a retrospective study. The subjects included in this study were the healthy physical-examination population in the medical examination department. We retrospectively collected information from the medical examination department of the healthy physical-examination participants, such as blood glucose, blood lipids, and other laboratory indicators, and the results of carotid artery ultrasound, which did not involve a clinical trial study, and there was no risk to the subjects in this study. There was no written informed consent. This study was approved by the Ethics Committee of Tangshan Gongren Hospital.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
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Titel
Risk factors for hypoechoic carotid plaque in healthy physical-examination population
Verfasst von
Meng Fu
Yani Fan
Jianhua Wang
Feifei Chen
Ying Cui
Yadan Lu
Binbin Zhang
Bing Zhang
Lili Chen
Publikationsdatum
01.12.2024
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1186/s41983-024-00886-w
1.
Zurück zum Zitat Tu WJ, Wang LD, Special Writing Group of China Stroke. Report China stroke surveillance report 2021. Mil Med Res. 2023;10:33.PubMedPubMedCentral
2.
Zurück zum Zitat Donnan GA, Fisher M, Macleod M, Davis SM. Stroke. Lancet. 2008;371:1612–23.CrossRefPubMed
3.
Zurück zum Zitat Adams HP Jr, Bendixen BH, Kappelle LJ, Biller J, Love BB, Gordon DL, et al. Classification of subtype of acute ischemic stroke. Definitions for use in a multicenter clinical trial. TOAST Trial of Org 10172 in Acute Stroke Treatment. Stroke. 1993;24:35–41.CrossRefPubMed
4.
Zurück zum Zitat Lusis AJ. Atherosclerosis. Nature. 2000;407:233–41.CrossRefPubMedPubMedCentral
5.
Zurück zum Zitat Golledge J, Greenhalgh RM, Davies AH. The symptomatic carotid plaque. Stroke. 2000;31:774–81.CrossRefPubMed
6.
Zurück zum Zitat Topakian R, King A, Kwon SU, Schaafsma A, Shipley M, Markus HS. Ultrasonic plaque echolucency and emboli signals predict stroke in asymptomatic carotid stenosis. Neurology. 2011;77:751–8.CrossRefPubMed
7.
Zurück zum Zitat Picano E, Paterni M. Ultrasound tissue characterization of vulnerable atherosclerotic plaque. Int J Mol Sci. 2015;16:10121–33.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Jashari F, Ibrahimi P, Bajraktari G, Grönlund C, Wester P, Henein MY. Carotid plaque echogenicity predicts cerebrovascular symptoms: a systematic review and meta-analysis. Eur J Neurol. 2016;23:1241–7.CrossRefPubMed
9.
Zurück zum Zitat Gupta A, Kesavabhotla K, Baradaran H, Kamel H, Pandya A, Giambrone AE, et al. Plaque echolucency and stroke risk in asymptomatic carotid stenosis: a systematic review and meta-analysis. Stroke. 2015;46:91–7.CrossRefPubMed
10.
Zurück zum Zitat Rothwell PM. Carotid artery disease and the risk of ischemic stroke and coronary vascular events. Cerebrovasc Dis. 2000;10:21–33.CrossRefPubMed
11.
Zurück zum Zitat Kofoed SC, Grønholdt ML, Bismuth J, Wilhjelm JE, Sillesen H, Nordestgaard BG. Echolucent, rupture-prone carotid plaques associated with elevated triglyceride-rich lipoproteins, particularly in women. J Vasc Surg. 2002;36:783–92.CrossRefPubMed
12.
Zurück zum Zitat Grønholdt ML, Nordestgaard BG, Bentzon J, Wiebe BM, Zhou J, Falk E, et al. Macrophages are associated with lipid-rich carotid artery plaques, echolucency on B-mode imaging, and elevated plasma lipid levels. J Vasc Surg. 2002;35:137–45.PubMed
13.
Zurück zum Zitat Mathiesen EB, Bønaa KH, Joakimsen O. Low levels of high-density lipoprotein cholesterol are associated with echolucent carotid artery plaques: the Tromsø study. Stroke. 2001;32:1960–5.CrossRefPubMed
14.
Zurück zum Zitat Yang Z, Wang H, Edwards D, Ding C, Yan L, Brayne C, et al. Association of blood lipids, atherosclerosis and statin use with dementia and cognitive impairment after stroke: a systematic review and meta-analysis. Ageing Res Rev. 2020;57: 100962.CrossRefPubMed
15.
Zurück zum Zitat Nguyen-Thanh HT, Benzaquen BS. Screening for subclinical coronary artery disease measuring carotid intima media thickness. Am J Cardiol. 2009;104:1383–8.CrossRefPubMed
16.
Zurück zum Zitat Seo Y, Watanabe S, Ishizu T, Moriyama N, Takeyasu N, Maeda H, et al. Echolucent carotid plaques as a feature in patients with acute coronary syndrome. Circ J. 2006;70:1629–34.CrossRefPubMed
17.
Zurück zum Zitat Ogata T, Yasaka M, Wakugawa Y, Kitazono T, Okada Y. Morphological classification of mobile plaques and their association with early recurrence of stroke. Cerebrovasc Dis. 2010;30:606–11.CrossRefPubMed
18.
Zurück zum Zitat Kakkos SK, Griffin MB, Nicolaides AN, Kyriacou E, Sabetai MM, Tegos T, et al. The size of juxtaluminal hypoechoic area in ultrasound images of asymptomatic carotid plaques predicts the occurrence of stroke. J Vasc Surg. 2013;57:609–18.CrossRefPubMed
19.
Zurück zum Zitat Manthey J, Shield KD, Rylett M, Hasan OSM, Probst C, Rehm J. Global alcohol exposure between 1990 and 2017 and forecasts until 2030: a modelling study. Lancet. 2019;393:2493–502.CrossRefPubMed
20.
Zurück zum Zitat Zhou T, Im PK, Hariri P, Du H, Guo Y, Lin K, et al. Associations of alcohol intake with subclinical carotid atherosclerosis in 22,000 Chinese adults. Atherosclerosis. 2023;377:34–42.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Xie X, Ma YT, Yang YN, Fu ZY, Ma X, Huang D, et al. Alcohol consumption and carotid atherosclerosis in China: the cardiovascular risk survey. Eur J Prev Cardiol. 2012;19:314–21.CrossRefPubMed
22.
Zurück zum Zitat Jiao Y, Qin Y, Zhang Z, Zhang H, Liu H, Li C. Early identification of carotid vulnerable plaque in asymptomatic patients. BMC Cardiovasc Disord. 2020;20:429.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Joakimsen O, Bonaa KH, Stensland-Bugge E, Jacobsen BK. Age and sex differences in the distribution and ultrasound morphology of carotid atherosclerosis: the Tromsø study. Arterioscler Thromb Vasc Biol. 1999;19:3007–13.CrossRefPubMed
24.
Zurück zum Zitat Voigt S, van Os H, van Walderveen M, van der Schaaf IC, Kappelle LJ, Broersen A, et al. Sex differences in intracranial and extracranial atherosclerosis in patients with acute ischemic stroke. Int J Stroke. 2021;16:385–91.CrossRefPubMed
25.
Zurück zum Zitat Grønholdt ML. Ultrasound and lipoproteins as predictors of lipid-rich, rupture-prone plaques in the carotid artery. Arterioscler Thromb Vasc Biol. 1999;19:2–13.CrossRefPubMed
26.
Zurück zum Zitat Nishi K, Itabe H, Uno M, Kitazato KT, Horiguchi H, Shinno K, et al. Oxidized LDL in carotid plaques and plasma associates with plaque instability. Arterioscler Thromb Vasc Biol. 2002;22:1649–54.CrossRefPubMed
27.
Zurück zum Zitat Amarenco P, Kim JS, Labreuche J, Charles H, Abtan J, Béjot Y, et al. A comparison of two LDL cholesterol targets after ischemic stroke. N Engl J Med. 2020;382:9.CrossRefPubMed
28.
Zurück zum Zitat Teng Y, Wang K, Fan X, Yang X. Prevalence and risk factors of abnormal carotid artery in young adults without overt cardiovascular disease. Int J Gen Med. 2022;15:4595–601.CrossRefPubMedPubMedCentral

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Schützt Optimismus vor Demenz?

  • 14.04.2026
  • Demenz
  • Nachrichten

Wer insgesamt zuversichtlicher aufs Leben blickt, trägt ein geringeres Risiko, später einmal an Demenz zu erkranken als pessimistischere Zeitgenossen. Dafür sprechen zumindest Ergebnisse einer Längsschnittdatenanalyse aus den USA. Ob mehr Optimismus allerdings tatsächlich einer Demenz vorbeugt, bleibt unklar.   

Verzögert eine hochdosierte Influenza-Vakzine eine Demenz?

  • 10.04.2026
  • Demenz
  • Nachrichten

Eine hochdosierte Influenza-Vakzine geht mit einer verzögerten Demenzdiagnose einher. Darauf deutet eine Auswertung von US-Gesundheitsdaten hin. Besonders auffällig sind die Effekte in den ersten Monaten nach der Impfung.

Intensive Drucksenkung zeigt U-förmigen Nutzen nach Hirnblutung

Intensive Senkung eines erhöhten Blutdrucks kann nach einer intrazerebralen Blutung die funktionelle Erholung verbessern – mutmaßlich über eine Reduktion der Hämatomausdehnung. Offenbar hängt das aber vom Ausgangsvolumen ab, wie eine Analyse ergeben hat.

Steaks gegen Alzheimer

  • 02.04.2026
  • Demenz
  • Nachrichten

Da schmeckt das Rinderfilet gleich doppelt so gut: Fleisch beugt einer aktuellen Studie zufolge einer Demenz vor. Allerdings gilt das nur für ApoE4-Träger. Diese haben sich im Laufe der Evolution offenbar an einen hohen Fleischkonsum angepasst – und brauchen ihre Steak-Rationen.

Update Neurologie

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Bildnachweise
Die Leitlinien für Ärztinnen und Ärzte, Alter Mann entspannt sich im Grünen/© koldunova_anna / stock.adobe.com (Symbolbild mit Fotomodell), Hirn-MRT zeigt bilaterale subdurale Blutung (blaue Pfeile)/© Salvatore Perrone et al doi.org/10.1007/s00277-023-05392-2 unter CC-BY 4.0