Association between age and progression of carotid artery atherosclerosis: a serial high resolution magnetic resonance imaging study

Utilizing machine learning algorithms for the prediction of carotid artery plaques in a Chinese population

Background: Ischemic stroke is a significant global health issue, imposing substantial social and economic burdens. Carotid artery plaques (CAP) serve as an important risk factor for stroke, and early screening can effectively reduce stroke incidence. However, China lacks nationwide data on carotid artery plaques. Machine learning (ML) can offer an economically efficient screening method. This study aimed to develop ML models using routine health examinations and blood markers to predict the occurrence of carotid artery plaques. Methods: This study included data from 5,211 participants aged 18-70, encompassing health check-ups and biochemical indicators. Among them, 1,164 participants were diagnosed with carotid artery plaques through carotid ultrasound. We constructed six ML models by employing feature selection with elastic net regression, selecting 13 indicators. Model performance was evaluated using accuracy, sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), F1 score, kappa value, and Area Under the Curve (AUC) value. Feature importance was assessed by calculating the root mean square error (RMSE) loss after permutations for each variable in every model. Results: Among all six ML models, LightGBM achieved the highest accuracy at 91.8%. Feature importance analysis revealed that age, Low-Density Lipoprotein Cholesterol (LDL-c), and systolic blood pressure were important predictive factors in the models. Conclusion: LightGBM can effectively predict the occurrence of carotid artery plaques using demographic information, physical examination data and biochemistry data.

The Increased TIGIT-Expressing CD3+CD56+ Cells Are Associated with Coronary Artery Disease and Its Inflammatory Environment

We aimed to examine the correlation of T-cell immunoglobulin and ITIM domain (TIGIT)-expressing CD3 + CD56 + cells (TNKS) with coronary artery disease (CAD), atherosclerotic lesion progression, and inflammatory environment. A total of 199 subjects, including 98 patients with acute coronary syndrome (ACS), 52 patients with chronic coronary syndrome (CCS), and 49 control subjects, were recruited in the study. The TIGIT-expressing TNKS were quantified by flow cytometric analysis; the severity of coronary artery lesions was evaluated by the Gensini score. Whole blood cells were stimulated with interleukin-2 (IL-2), interleukin-7 (IL-7), and interleukin-15 (IL-15) in presence or absence of STAT, PI3K, and P38 MAPK inhibitors, respectively. The TIGIT-expressing TNKS was significantly increased in patients with CAD, ACS, and CCS compared to the control group (P < 0.05). The TIGIT-expressing TNKS were independent predictors of CAD, ACS and CCS (P < 0.05). The TIGIT-expressing TNKS were positively associated with Gensini score (P < 0.05). The TIGIT-expressing TNKS was positively correlated with age, and being male (P < 0.05). The inflammatory microenviroment with increased IL-2, IL-7, and IL-15 contributed to upregulation of TIGIT expression in TNKS. PI3K and P38 MAPK inhibitors could inhibit the upregulation of TIGIT expression in TNKS induced by IL-2, IL-7, and IL-15. The TIGIT-expressing TNKS may be involved in common pathogenesis of ACS and CCS, and atherosclerotic lesion progression. Meanwhile, the increased TIGIT-expressing TNKS might be associated with a proatherogenic microenvironment or inflammatory microenvironment. PI3K and P38 MAPK signaling pathways were involved in the regulation of TIGIT expression.

Association of insulin resistance with intra- and extra-cranial atherosclerotic burden in the nondiabetic community population

AIMS

Few population-based studies have investigated the association between insulin resistance and atherosclerotic burden in intra- and extra-cranial arteries. The purpose of this study is to explore the relationship between insulin resistance and intra- and extra-cranial atherosclerotic burden in community-based nondiabetic participants.

METHODS

This is a cross-sectional analysis from a population-based prospective cohort-PolyvasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study in China. The homeostasis model assessment of insulin resistance (HOMA-IR) and insulin sensitivity indices (ISI0-120) were stratified by the quartiles, respectively. The atherosclerotic presence of plaques and burden was evaluated by high-resolution MRI. Binary or ordinal logistic regression was performed to assess the association between HOMA-IR or ISI0-120 and the presence and burden of atherosclerosis.

RESULTS

Among the 2754 participants, the mean age was 60.9 ± 6.6 years, and 1296 (47.1%) were males. Compared with the lowest quartile of HOMR-IR, the highest quartile of HOMA-IR (indicating a higher level of insulin resistance) was associated with an increased presence of plaques (OR:1.54, 95% CI:1.14-2.08), and atherosclerotic burden (OR:1.53, 95%CI:1.14-2.07) in intracranial arteries. Meanwhile, we observed a similar relationship between HOMA-IR and the presence or burden in extracranial atherosclerosis. The first (indicating a higher level of insulin resistance) quartiles of ISI0-120 were associated with the intracranial plaques (Q1, OR:1.56, 95%CI:1.16-2.11) and atherosclerotic burden (Q1, OR:1.57, 95%CI:1.17-2.12), but not extracranial plaques or atherosclerotic burden, compared with the fourth quartile of ISI0-120.

CONCLUSIONS

Insulin resistance was associated with an increased intra-and extra-cranial atherosclerotic burden in the nondiabetic elderly Chinese population.

Analysis of carotid plaque risk factors in a population at high risk of stroke in Yubei District, Chongqing, China

OBJECTIVE

To establish a scientific foundation for focused stroke prevention and treatment efforts by comprehending the risk variables connected to carotid plaque formation in adults over 40 who are at high risk of stroke in Yubei District, Chongqing, China.

METHODS

By comparing the differences in carotid plaque formation between people of different ages, smoking, blood pressure levels, low-density lipoprotein levels, and glycosylated hemoglobin levels, questionnaires and physical exams were performed on a random sample of permanent residents aged 40 years in three communities in Yubei District, Chongqing, China. The goal was to investigate the risk factors associated with carotid plaque formation in the population.

RESULTS

The incidence of carotid plaque gradually increased in the study population as age, blood pressure, low-density lipoprotein, and glycosylated hemoglobin levels increased. The difference in carotid plaque formation between people of different ages, smoking, blood pressure levels, low-density lipoprotein levels, and glycosylated hemoglobin levels was statistically significant (p<0.05). The findings of the multifactorial logistic regression analysis revealed that there was a tendency for the risk of developing carotid plaque to rise with age; the risk of developing carotid plaque in hypertensive patients was (OR=1.41,95% CI: 1.03-1.93); the population of smokers was (OR=2.01,95%CI:1.33-3.05); the low-density lipoprotein cholesterol borderline increased group was (OR=1.94,95%CI:1.03-3.66); the low-density lipoprotein cholesterol elevated group was (OR=2.71,95%CI: 1.26-5.84); glycosylated hemoglobin elevated group was (OR=1.40,95%CI: 1.01-1.94) (p<0.05).

CONCLUSION

Age, smoking, blood pressure, low-density lipoprotein, and glycosylated hemoglobin are all associated with carotid plaque formation in those over 40 who are at high risk of stroke. As a result, health education for residents needs to be strengthened to raise knowledge of carotid plaque prevention.

Impaired sensitivity to thyroid hormones and carotid plaque in patients with coronary heart disease: A RCSCD-TCM study in China

CONTEXT

Previous studies on the association between thyroid function and carotid plaque have shown contradictory results, which may be attributable to the sensitivity to thyroid hormone indices. This study aimed to analyze the association between thyroid hormone sensitivity and risk of carotid plaque in patients with coronary heart disease (CHD) and further explore this association according to sex, age, smoking, and drinking status.

METHODS

This large-scale, multi-center, retrospective, cross-sectional study included 6679 patients with CHD (age 35-75). Central sensitivity to thyroid hormone was evaluated by the thyroid feedback quantile-based index (TFQI), parametric thyroid feedback quantile-based index (PTFQI), thyroid-stimulating hormone index (TSHI), and thyrotroph thyroxine resistance index (TT4RI). Peripheral sensitivity to thyroid hormone was assessed by free triiodothyronine/free thyroxine (FT3/FT4) ratio. Taking no carotid plaque as a reference, this study used logistic regression to analyze the association between central and peripheral thyroid hormone sensitivity and carotid plaque in patients with CHD.

RESULTS

Of the 6679 patients with CHD, 4843 (72.50%) had carotid plaque. In the multi-adjusted models, the TFQI (odds ratio [OR]: 1.50; 95% confidence interval [CI]: 1.26-1.78; P < 0.001), PTFQI (OR: 1.76; 95% CI: 1.46-2.12; P < 0.001), TSHI (OR: 1.21; 95% CI: 1.10-1.33; P < 0.001), and TT4RI (OR: 1.00; 95% CI: 1.00-1.01; P = 0.003) were positively associated with the risk of carotid plaque. Compared with that in females and people > 60 years, the OR value for carotid plaque was higher in males and people ≤ 60 years. Similarly, smokers and drinkers had higher OR values for carotid plaque than non-smokers and non-drinkers. Conversely, FT3/FT4 ratio (OR: 0.75; 95% CI: 0.70-0.81; P < 0.001) was negatively associated with carotid plaque, and the OR value for carotid plaque was lower in males, patients ≤ 60 years, smokers, and drinkers.

CONCLUSION

This study showed that thyroid hormone sensitivity is significantly associated with carotid plaque in patients with CHD. This association is more significant in males, patients ≤ 60 years, smokers, and drinkers.

Cervical Carotid Plaque MRI : Review of Atherosclerosis Imaging Features and their Histologic Underpinnings

Magnetic resonance (MR) imaging is considered the gold standard for non-invasive evaluation of carotid artery plaque morphology and composition. A number of studies have demonstrated the clinical utility of MR plaque imaging in the risk stratification of carotid atherosclerotic disease, determination of stroke etiology, and identification of surgical and endovascular candidates for carotid revascularization procedures. The MR plaque imaging also provides researchers and clinicians with valuable insights into the pathogenesis, natural history and composition of carotid atherosclerotic disease. Nevertheless, the field of MR plaque imaging is complex, and requires a thorough knowledge of the histologic basis for how various plaque features appear on imaging. This article details the pathogenesis and histology of atherosclerosis, reviews the expected appearance of different plaque components, and describes how MR imaging features may be related to symptomatology or predict future ischemic events.