scholarly journals Relationship of Neutrophil-to-Lymphocyte Ratio with Carotid Plaque Vulnerability and Occurrence of Vulnerable Carotid Plaque in Patients with Acute Ischemic Stroke

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xin Li ◽  
Jing Li ◽  
Guode Wu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Vulnerable Plaque ◽  
Carotid Plaque ◽  
Multivariate Logistic Regression Analysis ◽  
Plaque Vulnerability ◽  
Multivariate Logistic Regression ◽  
Carotid Ultrasonography ◽  
Stable Plaque

Background. Carotid plaque is an undefined risk factor in ischemic stroke and is driven by inflammation. Mounting evidence suggests that neutrophil-to-lymphocyte ratio (NLR) is crucial not only for cerebrovascular events but also in atherosclerosis progression. Here, we aimed to explore the association between the admission NLR and carotid plaque vulnerability as well as the occurrence of vulnerable carotid plaque detected by carotid ultrasonography in patients with acute ischemic stroke (AIS) among Chinese. Methods. We conducted a retrospective study composed of 588 patients with AIS and 309 healthy controls free of carotid plaque in the Department of Neurology in The Second Hospital of Lanzhou University from March 2014 to February 2015. All patients were classified as nonplaque, stable plaque, and vulnerable plaque groups on the basis of carotid ultrasonography results. The baseline information was collected and compared among the four different groups. The correlation between variables and carotid plaque vulnerability was tested by Spearman linear correlation analysis. To identify the independent predictors for vulnerable carotid plaque, univariate and multivariate logistic regression analysis was performed. Results. The comparisons of age, sex proportion, history of hypertension, diabetes, and smoking, the levels of HDL-C, Lp(a), BMI, SBP, DBP, Fib, CRP, leukocyte, and NLR among the four groups showed a statistically significant difference ( P < 0.05 ); in particular, the NLR was significantly higher in the vulnerable plaque group as compared to the control ( P = 0.043 ), nonplaque ( P = 0.022 ), and stable plaque groups ( P = 0.015 ). The Spearman correlation analysis presented a positive correlation between carotid plaque vulnerability and age ( r = 0.302 ; P < 0.001 ), SBP ( r = 0.163 ; P < 0.001 ), and NLR ( r = 0.087 ; P = 0.034 ), while the lymphocyte was negatively related to the carotid plaque vulnerability ( r = − 0.089 ; P = 0.030 ). The multivariate logistic regression analysis adjusted for confounding factors revealed that age (odds ratio [OR], 1.042; 95% confidence interval [CI], 1.025-1.060; P < 0.001 ), male gender (OR, 2.005; 95% CI, 1.394-2.884; P < 0.001 ), diabetes (OR, 1.481; 95% CI, 1.021-2.149; P = 0.039 ), SBP (OR, 1.012; 95% CI, 1.003-1.021; P = 0.010 ), and NLR (OR, 1.098; 95% CI, 1.018-1.184; P = 0.015 ) are independent predictors of vulnerable carotid plaque in patients with AIS. Conclusion. The admission NLR is a novel and meaningful biomarker that can be used in predicting carotid plaque vulnerability and the presence of vulnerable carotid plaque assessed by carotid ultrasonography in patients with AIS among Chinese.

scholarly journals Decreased eGFR Is Associated With Ischemic Stroke in Patients With Dilated Cardiomyopathy

2019 ◽  
Vol 25 ◽  
pp. 107602961986690 ◽  
Author(s):  
Yuqing Deng ◽  
Zhiqing Chen ◽  
Lili Hu ◽  
Zhenyan Xu ◽  
Jinzhu Hu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Dilated Cardiomyopathy ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Analysis Model ◽  
Multivariate Logistic Regression ◽  
Increased Risk

Dilated cardiomyopathy (DCM) is increasingly indicated as a cause of cardioembolic syndrome, in particular, cardioembolic ischemia stroke. However, the potential risk factors for stroke among DCM patients remain under investigated. DCM patients hospitalized from June 2011 to June 2016 were included. The cases were defined as the group of DCM patients with stroke compared with those without stroke. Clinical characteristic data were collected and compared between the two groups including demographic data, complicated diseases, echocardiography index, and laboratory parameters and estimated glomerular filtration rate (eGFR). A multivariate logistic regression analysis model adjusted by sex and age was used to explore the related risk factors for stroke in DCM patients. A total of 779 hospitalized patients with DCM were included. Of these, 55 (7.1%) had experienced a stroke. Significantly lower eGFR levels (68.03 ± 26.22 vs 79.88 ± 24.25 mL/min/1.73 m2, P = .001) and larger left atrial diameters (45.32 ± 7.79 vs 43.25 ± 7.11 mm, P = .04) were found in the group of patients having DCM with stroke compared to those without stroke. When the eGFR was categorized as eGFR >60, 30<eGFR≤ 60 and eGFR ≤ 30, there were more patients with 30<eGFR≤ 60 (30.9% vs 17.7%) and eGFR≤ 30 (9.1% vs 3.3%) in the ischemic stroke group ( P = 0.003). A multivariate logistic regression analysis model adjusted by sex and age showed that 30 <eGFR≤60 (odds ratio [OR]: 2.07, 95% confidence interval [CI]: [1.05-4.07], P = .035) and eGFR≤30 (OR: 4.04, 95% CI: [1.41-11.62], P = .009) were statistically associated with ischemic stroke in patients with DCM. It is concluded that decreased eGFR is significantly associated with an increased risk of ischemic stroke in patients with DCM.

scholarly journals Risk factors for periprocedural ischemic stroke following endovascular treatment of intracranial aneurysms

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Yisen Zhang ◽  
Chao Wang ◽  
Zhongbin Tian ◽  
Wei Zhu ◽  
Wenqiang Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Treatment Modality ◽  
Intracranial Aneurysms ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Flow Diverter ◽  
Multivariate Logistic Regression

Abstract Background The aim of this study was to comprehensively evaluate the risk factors of periprocedural ischemic stroke associated with endovascular treatment of intracranial aneurysms using a real-world database. Methods From August 2016 to March 2017, 167 patients were enrolled. Univariate analysis and multivariate logistic regression analysis were used to examine the risk factors for periprocedural ischemic stroke. Results Among the 167 cases, periprocedural ischemic stroke occurred in 20 cases (11.98%). After univariate analysis, the ischemic group had a higher proportion of large (≥ 10 mm) aneurysms than the control group (45.0% vs. 23.1%, p = 0.036). The incidence of periprocedural ischemic stroke was higher in cases treated by flow diverter (21.6%) or stent-assisted coiling (11.8%) than in cases treated by coiling only (2.7%), and the differences were statistically significant (p = 0.043). After multivariate logistic regression analysis, treatment modality was the independent risk factor for periprocedural ischemic stroke. Compared with the coiling-only procedure, flow diverter therapy was associated with a significantly higher rate of periprocedural ischemic stroke (OR 9.931; 95% CI 1.174–84.038; p = 0.035). Conclusions Aneurysm size and treatment modality were associated with periprocedural ischemic stroke. Larger aneurysms were associated with increased risk of periprocedural ischemic stroke. Flow diverter therapy was associated with significantly more periprocedural ischemic stroke than the coiling procedure alone.

scholarly journals Delayed Stroke Treatment during COVID-19 Pandemic in China

2020 ◽  
Author(s):  
Shiyuan Gu ◽  
Zhengze Dai ◽  
Huachao Shen ◽  
Yongjie Bai ◽  
Xiaohao Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Acute Stroke ◽  
Acute Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Intravenous Thrombolysis ◽  
Multivariate Logistic Regression ◽  
Delayed Treatment

ABSTRACTBackgroundSocial distance, quarantine, pathogen testing and other preventive strategies implemented during COVID-19 pandemic may negatively influence the management of acute stroke.ObjectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of acute stroke in China.MethodsThis study included patients with acute stroke admitted in two hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 epidemic outbreak (January 31, 2020, as officially announced by Chinese government) were compared for pre- (measured as onset-to-door time) and post-hospital delay (measured as door-to-needle time). The influence factors for delayed treatment (indicated as onset-to-needle time >4.5 hours) were analyzed with multivariate logistic regression analysis.ResultsOnset-to-door time increased from 202 min (IQR 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (P=0.001). Door-to-needle time increased from 50min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (P=0.048). The proportion of patients with intravenous thrombolysis in those with acute ischemic stroke was decreased significantly after the pandemic (15.4% vs 20.1%; P=0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms and transported by other means than ambulance were associated with delayed treatment.ConclusionsCOVID-19 pandemic has remarkable impacts on the management of acute ischemic stroke. Both pre- and post-hospital delays were prolonged significantly, and proportion of patient arrived within the 4.5-hour time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

scholarly journals Siesta and Risk for Ischemic Stroke: Results from a Case-Control Study

Medicina ◽  
2020 ◽  
Vol 56 (5) ◽  
pp. 222
Author(s):  
Yousef Mohammad
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Protective Effect ◽  
Case Control Study ◽  
Multivariate Logistic Regression Analysis ◽  
Case Control ◽  
Multivariate Logistic Regression ◽  
Neurology Clinic ◽  
Control Study

Background and objectives: Siesta, which is a short afternoon nap, is a habit that is commonly practiced in the Mediterranean and tropical areas. Data on the association between siesta and coronary artery disease has been conflicting. A protective effect has been demonstrated in the countries that commonly practice siesta, but a harmful effect has been observed in the countries that infrequently practice the siesta habit. Information on the association between siesta and ischemic stroke has been, however, lacking. Hence, the purpose of our study was to determine the effect of siesta on ischemic stroke. Materials and Methods: This was a case-control study, conducted on the patients with acute ischemic stroke who came for their first follow-up visit to the neurology clinic. Controls were randomly selected from the patients visiting the neurology clinic on the same day as the patients with ischemic stroke. In addition to basic demographics and the occurrence of established stroke risk factors, information about siesta practice was also collected from both groups. A multivariate logistic regression analysis was utilized to determine the relationship between siesta practice and ischemic stroke. Results: A total of 206 patients were recruited from the neurology clinic of King Khalid university hospital; of which only 194 subjects were included in the analysis (98 ischemic stroke cases and 96 controls). The mean age of the participants was 59.68 ± 13.75 years and 98 (50.52%) were male. Interestingly, 43% of the whole study cohort practiced regular siesta. However, when compared to the stroke population, the control group practiced siesta more frequently (30% vs. 56%). In a multivariate logistic regression analysis, hypertension, diabetes mellitus, excess body weight (body mass index > 25 kg/m2) and dyslipidemia were found to increase the risk of ischemic stroke (OR 2.12, 95% CI: 1.02–4.66, p = 0.005; OR 2.72, 95% CI: 1.94–4.88, p = 0.014; OR 2.94, 95% CI: 1.5164–5.7121 p = 0.0014; OR 3.27, 95% CI: 2.42–5.199, p ≤ 0.001, respectively). On the contrary, the practice of regular siesta lowered the risk of ischemic stroke (OR 0.58, 95% CI: 0.3551–0.9526, p = 0.031). Conclusions: Siesta was associated with a reduced risk for the occurrence of ischemic stroke. Large prospective longitudinal studies should be conducted to verify the protective effect of siesta on stroke.

Abstract TP176: Risk Factors and Clinical Significances of the Quantitative CTA Vascular Calcification in Ischemic Stroke Patients

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Takashi Shimoyama ◽  
Sibaji Gaj ◽  
Kunio Nakamura ◽  
Shivakrishna Kovi ◽  
Ken Uchino
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Vascular Calcification ◽  
Logistic Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Stroke Patients ◽  
Age Category

Background and Purpose: Intracranial arterial calcification is a marker of atherosclerosis burden in the general population. The aim of the study is to investigate risk factor profiles of vascular calcification in ischemic stroke patients. Methods: We identified ischemic stroke patients who underwent complete CTA from a prospective single-hospital stroke registry in 2018. Automatic artery and calcification segmentation method measured calcification volumes in the intracranial, extracranial, and aortic arteries using deep-learning U-net model and region-grow algorithms. Severe vascular calcification was defined as patients in the upper quartile calcification volume. The prevalence of severe vascular calcification and mean calcification volume were investigated by age category (<60 years, 60-70 years, 70-80 years, 80 years ≥). The relation between each potential risk factors and severe vascular calcification was assessed using the multivariate logistic regression analysis adjusted for age, sex, NIHSS score, and TOAST stroke subtypes. Results: Of the 558 consecutive acute ischemic stroke patients, 388 patients (212 males; mean age 66.6±14.2 years) met inclusion and with quantitative CTA calcification. The prevalence of severe vascular calcification (CTA calcification volume> 812 mm 3 ) increased with increasing age category (<60 years: 6.8% (7/103), 60-70 years: 15.7% (18/115), 70-80 years: 39.6% (38/105), 80 years ≥: 45.9% (34/74), P<0.001 for χ 2 test). Over age 80 years subsets had significantly higher mean calcification volume with 1213 mm 3 than other age category (<60 years: 225 mm 3 , P<0.001; 60-70 years: 462 mm 3 , P<0.001; 70-79 years: 817 mm 3 , P=0.020 for t-test). In the multivariate logistic regression analysis, age (OR 1.096, 95% CI 1.066-1.128, P<0.001), smoking (OR 3.430, 95% CI 1.833-6.419, P<0.001), and large artery atherosclerosis (LAA) (OR 4.260, 95% CI 1.963-9.247, P<0.001) were independently associated with severe vascular calcification. Conclusion: In the quantitative CTA analysis of calcification volume, older age and smoking were high risk for severe atherosclerotic calcium burden in ischemic stroke patients. Moreover, severe vascular calcification may differentiate LAA from other stroke etiology.

scholarly journals Association between Circulatory and Plaque Resistin Levels with Carotid Plaque Instability and Ischemic Stroke Events

2018 ◽  
Vol 21 (6) ◽  
pp. E448-E463
Author(s):  
Ivana Jurin ◽  
Frane Paić ◽  
Stela Bulimbašić ◽  
Igor Rudež ◽  
Lovorka Đerek ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Carotid Artery ◽  
Carotid Artery Stenosis ◽  
Carotid Plaque ◽  
High Grade ◽  
Plaque Vulnerability ◽  
Histological Features ◽  
Plaque Instability

ses of ischemic stroke. The risk of ischemic stroke increases with the degree of carotid stenosis and plaque vulnerability. The aim of this study was to investigate the association of circulating and plaque resistin levels with plaque vulnerability and ischemic stroke events in patients with moderate- to high-grade carotid artery stenosis. Methods: 40 patients with ischemic stroke events and 38 neurologically asymptomatic patients scheduled for carotid endarterectomy were recruited for this study. Fasting blood samples for laboratory analysis were collected preoperatively and serum resistin levels were measured by enzyme-linked immunosorbent assays. Carotid endarterectomy specimens were analyzed according to the gold-standard procedure of histological classification. Plaque resistin expression was determined by standard immunohistochemical procedure. Results: Serum resistin levels and resistin plaque expression were found to be significantly higher in subjects with unstable carotid plaque (P < .001) while significantly higher serum resistin levels were also present in patients with ischemic stroke events (P < .001). In univariate stepwise logistic regression analysis, higher serum resistin levels were significantly associated with plaque instability (OR 2.223, 95% CI 1.488-3.320, P < .0001) and ischemic stroke events (OR 1.237, 95% CI 1.079-1.420, P = .002). There was also a significant association between higher serum and plaque resistin expression (OR 1.663, 95% CI1.332-2.077, P < .0001). These associations remained significant in all models of multivariate logistic regression analysis. High serum and plaque resistin levels were also significantly associated with specific histological features of plaque instability. Conclusion: The results suggests that serum resistin levels may be used as a potential biomarker of plaque vulnerability and ischemic stroke events in patients with moderate- to high-grade carotid artery stenosis and highlight the possible relationship that plaque resistin expression has with histological features of plaque vulnerability.

Abstract WMP59: A Simple Clinical And MRI Score To Assess A Risk For Development Of Malignant Middle Cerebral Artery Infarction In Large Hemispheric Acute Ischemic Stroke.

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Takashi Shimoyama ◽  
Junichi Uemura ◽  
Shinji Yamashita ◽  
Kensaku Shibazaki ◽  
Takeshi Inoue ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Middle Cerebral Artery ◽  
Acute Ischemic Stroke ◽  
Multivariate Logistic Regression Analysis ◽  
Surgical Decompression ◽  
Multivariate Logistic Regression ◽  
Malignant Mca Infarction ◽  
Mri Score

Background: Early surgical decompression has reduced case fatality and improved functional outcome in patients with malignant middle cerebral artery (MCA) infarction. Therefore, identifying patients who will develop life-threatening brain edema is imperative. The aim of the present study was to devise a simple clinical and MRI score for assessing a risk for malignant course in patients with large MCA infarction within 48 hr after admission. Methods: Patients with MCA infarction ≥2/3 of the territory and proximal vessel occlusion (ICA or M1) within 24 hr of onset were retrospectively studied. We defined malignant MCA infarction as follows: (1) secondary decline of consciousness ≥1 point on the NIHSS with midline shift ≥5 mm at the level of septum pellucidum at follow-up CT or MRI; (2) anisocoria or death attributable to herniation. We created a simple score to determine a risk for development of malignant MCA infarction using factors selected by multivariate logistic regression analysis. Results: Subjects comprised 119 patients (55 men, median age 78.0 years). Fifty-seven patients (47.9%) developed malignant MCA infarction within 48hr after admission. Multivariate logistic regression analysis revealed the following independent factors associated with malignant MCA infarction: involvement of ACA territory [odds ratio (OR), 15.33; 95% confidence interval (CI), 0.39-59.77; P<0·001], glucose value >145mg/dl [OR, 6.68; 95% CI, 2.19-20.42; P=0.001], and M1 vessel sign on T2*-gradient echo imaging [OR, 5.82; 95% CI, 1.71-19.78; P=0.005]. Those three variables were selected for use in the score, with involvement of ACA territory as 2 points, glucose value >145 mg/dl as 1 point, and M1 vessel sign as 1 point. Frequencies of patients developing malignant MCA infarction for each score were as follows: score 0, 10.0%; score 1, 23.5%; score 2, 71.4%; score 3-4, 96.3%. The C statistic for the score was 0.875 (95%CI, 0.810-0·940, P<0.001). Conclusion: Our simple clinical and MRI score reliably assessed a risk for development of malignant MCA infarction in large hemispheric acute ischemic stroke, and it should support clinical decision making in early surgical decompression.

scholarly journals Risk Factors for Periprocedural Ischemic Stroke following Endovascular Treatment of Intracranial Aneurysms

2021 ◽  
Author(s):  
Yisen Zhang ◽  
Chao Wang ◽  
Zhongbin Tian ◽  
Wei Zhu ◽  
Wenqiang Li ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Intracranial Aneurysms ◽  
Endovascular Procedures ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Flow Diverter ◽  
Multivariate Logistic Regression

Abstract BackgroundThe aim of this study was to comprehensively evaluate the risk factors of periprocedural ischemic stroke associated with endovascular treatment of intracranial aneurysms using a real-world prospective database.MethodsFrom August 2016 to March 2017, 200 patients with 217 aneurysms who underwent 206 endovascular procedures were enrolled. Univariate analysis and multivariate logistic regression analysis were used to examine the risk factors for periprocedural ischemic stroke.ResultsAmong the 206 endovascular procedures, periprocedural ischemic stroke occurred in 23 procedures (11.17%). After univariate analysis, the ischemic group had a higher proportion of large (≥ 10 mm) aneurysms than the control group (39.1% vs. 20.2%, p = 0.040). The incidence of periprocedural ischemic stroke was higher in cases treated by flow diverter (18.60%) or stent-assisted coiling (12.28%) than in cases treated by coiling only (2.04%), and the differences were statistically significant (p = 0.036). After multivariate logistic regression analysis, treatment modality was the independent risk factor for periprocedural ischemic stroke. Compared with the coiling-only procedure, flow diverter therapy was associated with a significantly higher rate of periprocedural ischemic stroke (OR 13.839; 95% CI 1.617–118.416; p = 0.016). Stent-assisted coiling also tended to present more often with periprocedural ischemic stroke than coiling alone (OR 7.559; 95% CI 0.958–59.618; p = 0.055).ConclusionsAneurysm size and treatment modality were associated with periprocedural ischemic stroke. Larger aneurysms were associated with increased risk of periprocedural ischemic stroke. Flow diverter therapy was associated with significantly more periprocedural ischemic stroke than the coiling procedure alone.

Serum Interleukin-33 is a Predictor of Depression in Patients with Acute Ischemic Stroke

2021 ◽  
Vol 17 ◽  
Author(s):  
Zhenlei Chen ◽  
Rongrong Zhang ◽  
Yanping Wu ◽  
Qing Fu ◽  
Xinyue Qin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Roc Curve ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Prognosis Factor ◽  
Interleukin 33

Objective: The study aimed to investigate the relationship between serum interleukin-33 (IL-33) concentrations and poststroke depression (PSD) in patients with acute ischemic stroke (AIS). Methods: Serum IL-33 concentrations were determined using an enzyme-linked immunosorbent assay. Patients were assigned to the PSD group after a six-month follow-up if their score on the 17- item Hamilton Rating Scale for Depression was ≥7 or to the non-PSD group if their score was <7. IL-33 was used to predict the risk of PSD using multivariate logistic regression analysis, while a receiver operating characteristic (ROC) curve was used to analyze the accuracy of PSD prediction. In addition, the modified Rankin scale (mRS) was used for follow-up scoring six months after disease onset. Results: A total of 151 AIS patients and 40 healthy controls were included in this study. ROC curve results showed that the area under the curve was 0.684 (95% confidence interval: 0.594-0.774,Ρ=0.001) for IL-33 as a predictor of PSD. When the IL-33 concentration was ≤71.85 ng/L, prediction sensitivity and specificity were 77.5% and 57.3%, respectively. Multivariate logistic regression analysis showed that IL-33 concentration of ≤71.85 ng/L was an independent predictor of PSD (95% CI: 1.129-7.515, P=0.027). The follow-up mRS data showed that serum IL-33 is a protective prognosis factor in patients with AIS (95% CI: 0.954-0.997, P=0.024). Conclusions: Serum IL-33 is an independent predictor of PSD and a protective prognosis factor in patients with AIS.

scholarly journals Risk factors for carotid plaque progression after optimising the risk factor treatment: substudy results of the Atherosclerotic Plaque Characteristics Associated with a Progression Rate of the Plaque and a Risk of Stroke in Patients with the carotid Bifurcation Plaque Study (ANTIQUE)

2021 ◽  
pp. svn-2021-001068
Author(s):  
David Školoudík ◽  
Petra Kešnerová ◽  
Tomáš Hrbáč ◽  
David Netuka ◽  
Jaroslav Vomáčka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Logistic Regression Analysis ◽  
Carotid Plaque ◽  
Multivariate Logistic Regression Analysis ◽  
Plaque Progression ◽  
Multivariate Logistic Regression ◽  
Factors Influencing

Background and aimCarotid plaque progression contributes to increasing stroke risk. The study aims to identify factors influencing carotid plaque thickness progression after changing the preventive treatment to the ‘treating arteries instead of risk factors’ strategy, that is, change in treatment depending on the progression of atherosclerosis.MethodsThe study participants who completed sonographic controls over the course of 3 years were enrolled to the analysis. Duplex sonography of cervical arteries was performed in 6-month intervals with measurement of carotid plaque thickness. Plaque thickness measurement error (σ) was set as 3 SD. Only evidently stable and progressive plaques (defined as plaque thickness difference between initial and final measurements of ˂σ and >2σ, respectively) were included to analysis. Univariate and multivariate logistic regression analysis was performed to identify factors influencing plaque progression.ResultsA total of 1391 patients (466 males, age 67.2±9.2 years) were enrolled in the study. Progressive plaque in at least one carotid artery was detected in 255 (18.3%) patients. Older age, male sex, greater plaque thickness, coronary heart disease, vascular surgery/stenting history and smoking were more frequently present in patients with progressive plaque (p˂0.05 in all cases). Multivariate logistic regression analysis identified only the plaque thickness (OR 1.850 for left side, 95% CI 1.398 to 2.449; and OR 1.376 for right side, 95% CI 1.070 to 1.770) as an independent factor influencing plaque progression.ConclusionCarotid plaque thickness corresponding to stenosis severity is the only independent risk factor for plaque thickness progression after optimising the prevention treatment.Trial registration numberNCT02360137.

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