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BackgroundFew prospective studies explored the incidence and determinant of carotid atherosclerosis (CA) progression (CAP). This community-based prospective study focused on the effects of diabetes mellitus (DM) treatments and glucose levels on CAP risks.MethodsWe followed up a group of 657 CA-positive middle-aged adults and elders for CAP. CAP was defined as an increase in the total number of carotid plaque and/or an increase in diameter stenosis by at least 10%.ResultsAfter 4.05 years of followed-up, CAP was detected in 364 (55.4%) subjects. The multivariable-adjusted hazard ratios (HRs) were 1.805 (95% confidence interval [CI]: 1.374-2.358) and 0.694 (95% CI: 0.510-0.944) for elevated fasting plasma glucose (eFPG; FPG≥100 mg/dL) and glucose-lowering medications (GLM), respectively. As compared to GLM-negative+eFPG-positive subjects, the multivariable-adjusted HRs were 0.497 (95% CI: 0.373-0.662), 0.537(95% CI: 0.306-0.942), and 0.586 (95% CI: 0.412-0.833) for GLM-negative+eFPG-negative, GLM-positive+eFPG-negative, and GLM-positive+ eFPG-positive subjects, respectively. The multivariable-adjusted risks of CAP were similar between GLM-negative+eFPG-negative and GLM-positive+ eFPG-positive subjects (p=0.77). Stratified analyses showed that the multivariable-adjusted HRs per 5.0 mg/dL increase in FPG were significantly increased among GLM-negative subjects (HR=1.131; 95% CI: 1.094-1.171) and non-significantly decreased among GLM-positive subjects (HR=0.985; 95% CI: 0.957-1.013).ConclusionWe found that more than 50% of CA-positive subjects had CAP in 4 years and higher FPG significantly increased and GLM significantly decreased the risks of CAP. Additionally, GLM and FPG demonstrated an interactive effect on CAP risks. It seems possible that GLM may induce effects beyond lowering glucose levels and subsequently lowers CAP risks.

Abstract Hemodynamic parameters have been correlated with stroke, hypertension, and arterial stenosis. While only a few small studies have examined the link between hemodynamics and diabetes mellitus (DM). This case-control study enrolled 417 DM patients and 3475 non-DM controls from a community-based cohort. Peak systolic velocity (PSV), end-diastolic velocity (EDV), blood flow velocity (MFV), pulsatility index (PI), and the resistance index (RI) of the common carotid arteries were measured by color Doppler ultrasonography. Generalized linear regression analyses showed that as compared to the non-DM controls, the age-sex-adjusted means of PSV, EDV, and MFV were − 3.28 cm/sec, − 1.94 cm/sec, and − 2.38 cm/sec, respectively, lower and the age-sex-adjusted means of RI and PI were 0.013 and 0.0061, respectively, higher for the DM cases (all p-values

BackgroundHyperglycemia affects the outcomes of endovascular therapy (EVT) for acute ischemic stroke (AIS). This study compares the predictive ability of diabetes status and glucose measures on EVT outcomes using nationwide registry data.MethodsThe study included 1,097 AIS patients who underwent EVT from the Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke. The variables analyzed included diabetes status, admission glucose, glycated hemoglobin (HbA1c), admission glucose-to-HbA1c ratio (GAR), and outcomes such as 90-day poor functional outcome (modified Rankin Scale score ≥ 2) and symptomatic intracranial hemorrhage (SICH). Multivariable analyses investigated the independent effects of diabetes status and glucose measures on outcomes. A receiver operating characteristic (ROC) analysis was performed to compare their predictive abilities.ResultsThe multivariable analysis showed that individuals with known diabetes had a higher likelihood of poor functional outcomes (odds ratios [ORs] 2.10 to 2.58) and SICH (ORs 3.28 to 4.30) compared to those without diabetes. Higher quartiles of admission glucose and GAR were associated with poor functional outcomes and SICH. Higher quartiles of HbA1c were significantly associated with poor functional outcomes. However, patients in the second HbA1c quartile (5.6–5.8%) showed a non-significant tendency toward good functional outcomes compared to those in the lowest quartile (

Abstract Background Diabetes mellitus (DM) is a well-established determinant of atherosclerosis and cardiovascular diseases (CVD). Recently, genome-wide association studies (GWAS) identified several single nucleotide polymorphism (SNP) significantly correlated with DM. The study aimed to explore the relationships of the top significant DM SNPs with carotid atherosclerosis (CA). Methods We used a case–control design and randomly selected 309 cases and 439 controls with and without, respectively, carotid plaque (CP) from a community-based cohort. Eight recent GWAS on DM in East Asians reported hundreds of SNPs with genome-wide significance. The study used the top significant DM SNPs, with a p-value

Background: Collateral status is an important predictor for the outcome of acute ischemic stroke with large vessel occlusion. Multiphase computed-tomography angiography (mCTA) is useful to evaluate the collateral status, but visual evaluation of this examination is time-consuming. This study aims to use an artificial intelligence (AI) technique to develop an automatic AI prediction model for the collateral status of mCTA. Methods: This retrospective study enrolled subjects with acute ischemic stroke receiving endovascular thrombectomy between January 2015 and June 2020 in a tertiary referral hospital. The demographic data and images of mCTA were collected. The collateral status of all mCTA was visually evaluated. Images at the basal ganglion and supraganglion levels of mCTA were selected to produce AI models using the convolutional neural network (CNN) technique to automatically predict the collateral status of mCTA. Results: A total of 82 subjects were enrolled. There were 57 cases randomly selected for the training group and 25 cases for the validation group. In the training group, there were 40 cases with a positive collateral result (good or intermediate) and 17 cases with a negative collateral result (poor). In the validation group, there were 21 cases with a positive collateral result and 4 cases with a negative collateral result. During training for the CNN prediction model, the accuracy of the training group could reach 0.999 ± 0.015, whereas the prediction model had a performance of 0.746 ± 0.008 accuracy on the validation group. The area under the ROC curve was 0.7. Conclusions: This study suggests that the application of the AI model derived from mCTA images to automatically evaluate the collateral status is feasible.

Background Endovascular thrombectomy (EVT) is the standard therapy for patients with acute ischemic stroke secondary to large‐artery occlusion. In January 2019, the Taiwan Stroke Society established a nationwide TREAT‐AIS (Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke). Here, we provide the study design, current progress, and baseline data of TREAT‐AIS. Methods TREAT‐AIS is a multicenter prospective registration program in Taiwan. Patients aged ≥20 years who underwent EVT for acute ischemic stroke were recruited. The key items on the registration form were divided into general stroke demographics and EVT‐related sections. The main outcome of effectiveness was functional independence (modified Rankin Scale score, 0–2) at 3 months. The influence of sex on post‐EVT outcomes was also analyzed in the presented study. Results By the end of June 2022, there were 10 medical centers and 9 community hospitals participating in the TREAT‐AIS and a total of 1522 patients (mean±SD age, 71.2±13.6 years; men, 55.6%) being enrolled. The median National Institutes of Health Stroke Scale score on admission was 18 (interquartile range, 12–23). The major cause of stroke was cardioembolism (43.6%), followed by large‐artery atherosclerosis (36.8%) and an undetermined cause (15.4%). Functional independence at 3 months poststroke was achieved in 36.2% of the patients. Male patients were more likely to have functional independence at 3 months compared with female patients (40.4% versus 30.8%; P

Abstract Treatment with levothyroxine and radioiodine contribute alternative cardiovascular function in adults with thyroid cancer. The risks of long-term cardiovascular conditions among thyroid cancer patients is unknown. This study aimed to compare the incidence of coronary heart disease (CHD), ischemic stroke (IS), and atrial fibrillation (AF) among adults with thyroid cancer with that of the general population, especially when stratified by age (

Background/Purpose: Atherosclerosis and diabetes mellitus (DM) are both severe chronic diseases that cause huge burdens on patients’ families and societies. Connections between the two diseases have brought high attention recently, however, population-based study with large sample size was few. The study aimed to explore the relationship between carotid atherosclerosis and DM. Methods: We enrolled 3908 adults aged 40–74 years from communities and measured their cardio–metabolic profiles and scanned their carotid arteries bilaterally. Results: The overall prevalence rates of carotid plaque and DM were 34.4 and 10.7%, respectively. The age-specific prevalence rates of DM and carotid plaque were nearly linearly correlated in both sexes (both Pearson's correlation coefficient r > 0.97). The prevalence rates of carotid plaque, total plaque number ≥3, maximum diameter stenosis ≥30%, and plaque score ≥3 were 53.6, 24.8, 19.1, and 28.6%, respectively, in DM patients and were 32.1, 9.4, 9.8, and 11.2%, respectively, in non-DM controls. After adjustment for other conventional risk factors, the multivariable-adjusted OR of having carotid plaque was 1.60 (95% CI 1.27–2.01) and were 2.06 (95% CI 1.55–2.75), 1.33 (95% CI 0.99–1.78), and 2.03 (95% CI 1.55–2.65) for total plaque number ≥3, maximum diameter stenosis ≥30%, and plaque score ≥3, respectively. Conclusion: We demonstrated that prevalences of DM were linearly correlated with prevalences of carotid plaque and DM patients had higher prevalence rates of carotid plaque and more advanced carotid atherosclerosis than non-DM controls. Our results indicated the need to address the role of DM in atherosclerosis development.

Background: Plaque in carotid arteries (CAs) is a major factor of systemic atherosclerosis and cardiovascular disease (CVD). The left and right CAs have different anatomic and geometric features and may influence the predictability of CVD. However, the site- and segment-specific prevalence of carotid plaques (CP) and study on severity of carotid atherosclerosis with CVD risks was very limited. Methods: We enrolled 1539 healthy residents aged 40-to-74 years from two northern districts in Taiwan. All volunteers received high resolution B-mode carotid ultrasound scans and CVD risk factors evaluations. Results: The prevalence rate of extracranial CP was 21.9% in females and 33.8% in males. Carotid bifurcation is the most affected segment. As compared with the right CAs, the age-sex-adjusted matched odds ratio of having plaques in the left CAs was 1.32 (95% confidence interval = 1.02–1.73). The proportions of subjects had a total plaque number≥2, maximum stenosis≥30%, and plaque score≥3 were 8.9, 10.3, and 7.2%, respectively, in females and were 17.7, 17.2, and 15.1%, respectively, in males. Among subjects with moderate and severe carotid atherosclerosis, the mean ± SD of estimated 10-year CVD risk was 19.1 ± 14.6% and more than 65% of them need intensive blood pressure, lipids, or sugar controls. Conclusion: We found that bifurcation was the most prevalent segment, and left CAs was more likely to form plaque than right CAs. The major CVD risk factors were highly prevalent and the estimated CVD risks were high in subjects with more advanced carotid atherosclerosis. The study provides further direction for CVD prevention and treatment. Keywords: Carotid plaque, Segment-specific, Cardiovascular risk factors, Community-based study