Risk Factors of Recurrent Ischemic Events after Acute Noncardiogenic Ischemic Stroke

Background: A considerable proportion of acute noncardiogenic ischemic stroke patients continue to experience recurrent ischemic events after standard therapy. Aim: We aimed to identify risk factors for recurrent ischemic event prediction at an early stage. Methods : 286 non-cardioembolic ischemic stroke patients with the onset of symptoms within 24 hours were enrolled. Vascular risk factors, routine laboratory data on admission, thromboelastography test seven days after clopidogrel therapy and any recurrent events within one year were assessed. Patients were divided into case group (patients with clinical adverse events, including ischemic stokes, transient ischemic attack, myocardial infarction and vascular related mortality) and control group (events-free patients). The risk of the recurrent ischemic events was determined by the receiver operating characteristic curve and multivariable logistic regression analysis. Results: Clinical adverse events were observed in 43 patients (case group). The mean levels of Mean Platelet Volume (MPV), Platelet/Lymphocyte Ratio (PLR), Lymphocyte Count (LY) and Fibrinogen (Fib) on admission were significantly higher in the case group as compared to the control group (P<0.001). Seven days after clopidogrel therapy, the ADP-induced platelet inhibition rate (ADP%) level was lower in the case group, while the Maximum Amplitude (MA) level was higher in the case group as compared to the control group (P<0.01). The Area Under the Curve (AUC) of receiver operating characteristic(ROC) curve of LY, PLR, , Fib, MA, ADP% and MPV were 0.602, 0.614, 0.629, 0.770, 0.800 and 0.808, respectively. The logistic regression analysis showed that MPV, ADP% and MA were indeed predictive factors. Conclusion: MPV, ADP% and MA were risk factors of recurrent ischemic events after acute noncardiogenic ischemic stroke. Urgent assessment and individual drug therapy should be offered to these patients as soon as possible.

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FGB -455 G>A and GP IIIa PIA1/A2 polymorphisms in a group of Romanian stroke patients

Revista Romana de Medicina de Laborator ◽

10.1515/rrlm-2016-0002 ◽

2016 ◽

Vol 24 (1) ◽

pp. 45-54

Author(s):

Felicia Maria Petrişor ◽

Andreea Cătană ◽

Dragoş Horea Mărginean ◽

Adrian Pavel Trifa ◽

Radu Anghel Popp ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Logistic Regression Analysis ◽

Positive Association ◽

Variant Allele ◽

Control Group ◽

Stroke Patients ◽

Pcr Rflp

Abstract Introduction: Being a multifactorial disease, stroke is one of a major causes of death and disability worldwide. Several genetic polymorphisms have been associated with stroke etiophatology and FGB −455 G>A and GP IIIa PIA1/A2 are among them. In the present study, we investigated the association between FGB −455 G>A and GP IIIa PIA1A2 polymorphisms and the risk of ischemic stroke in a group of Romanian stroke patients. Subjects and methods: This case-control study included 148 patients with ischemic stroke and 150 healthy age, sex and ethnically matched unrelated controls. FGB −455G>A and GP IIIa PIA1A2 genotyping was carried out using PCR-RFLP. The association of FGB −455G>A and GP IIIa PIA1A2 polymorphisms and cardiovascular risk factors with ischemic stroke was tested using logistic regression analysis. Results: Molecular analysis did not reveal an increased frequency of the FGB -455 G>A variant allele and GP IIIa PIA1/A2 variant allele in the study group compared to the control group (p = 0.140, OR = 0.750, 95% CI = 0.522 - 1.077; p = 0.823, OR = 0.944, 95% CI = 0.558 - 1.599 respectively). Furthermore, after performing logistic regression analysis adjusted for the known risk factors, a positive association with stroke was found in smokers (p = 0.026, OR = 1.800, 95% CI = 1.071 - 3.024) Conclusions: No association was found between FGB −455 G>A and GP IIIa PIA1/A2 polymorphisms and ischemic stroke in the studied population.

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

Stroke ◽

10.1161/str.51.suppl_1.tp176 ◽

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.

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Y chromosome polymorphisms may contribute to an increased risk of male-induced unexplained recurrent miscarriage

Bioscience Reports ◽

10.1042/bsr20160528 ◽

2017 ◽

Vol 37 (2) ◽

Cited By ~ 2

Author(s):

Yan Wang ◽

Gang Li ◽

Man-Zhen Zuo ◽

Jun-Hua Fang ◽

Hai-Rong Li ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Y Chromosome ◽

Logistic Regression Analysis ◽

Gestational Age ◽

Recurrent Miscarriage ◽

Control Group ◽

Case Group ◽

Unexplained Recurrent Miscarriage

The present study aims to explore the relationship between the Y chromosome polymorphisms (1qh+, inv(9), 9qh+, 16qh+, group D/G, Yqh– and Yqh+) and the risk of unexplained recurrent miscarriage (URM). A total of 507 couples with URM were recruited as case group and 465 healthy couples as control group. The Y chromosome polymorphisms of the male individuals were analysed with the G-banding technique, and the results of the chromosome G-banding analysis were determined using the International Naming Standards of Human Genetics (ISCN). Logistic regression analysis was used to analyse the risk factors for URM. The detection rate of Y chromosome polymorphisms in the case group (12.03%) was higher than that in the control group (2.15%). Y chromosome polymorphisms were detected at significantly higher rates in the case group than in the control group. Using the normal Y chromosomes in individuals of the case group as reference, the partners of their counterparts were more likely to experience miscarriage. The couples who were Y chromosome-polymorphism carriers had shorter gestational age, increased frequency of URM and longer average interval between pregnancies. The results of logistic regression analysis revealed that Y chromosome polymorphisms, shorter gestational age, a higher frequency of miscarriage and longer pregnancy interval were independent risk factors for URM. Y chromosome polymorphisms may be associated with the risk of URM and may play an important role in the development of URM.

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Cerebral Microbleed Burden in Ischemic Stroke Patients on Aspirin: Prospective Cohort of Intracranial Hemorrhage

Frontiers in Neurology ◽

10.3389/fneur.2021.742899 ◽

2021 ◽

Vol 12 ◽

Author(s):

Chong-xi Xu ◽

Hui Xu ◽

Tong Yi ◽

Xing-yang Yi ◽

Jun-peng Ma

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Intracranial Hemorrhage ◽

Cardiovascular Events ◽

Cerebral Microbleeds ◽

Multivariate Logistic Regression ◽

Stroke Patients

Objective: This investigation aimed at studying the prevalence of cerebral microbleeds (CMBs), including risk factors and the correlation of CMBs to ischemic stroke (IS) patient end results.Methods: Four hundred and fifty-nine acute IS cases were recruited between April 2014 and December 2016. Cerebral microbleeds were analyzed using susceptibility-weighted imaging (SWI) brain MRI scan. The enrolled patients with acute IS were followed up for 12–24 months, with a median follow-up time of 19 months. The follow-up endpoint events including recurrent ischemic stroke (RIS), intracranial hemorrhage (ICH), transient ischemic attack (TIA), mortality, and cardiovascular events. The associations between vascular risk factors and CMBs in IS patients were analyzed using univariate and multivariate logistic regression analysis. Cox regression model was employed for evaluating CMB impact on clinical outcome.Results: Among 459 enrolled patients, 187 (40.7%) had CMBs and 272 (59.2%) had no CMB. In comparison with patients with no CMBs, age was higher and hypertension was more frequent in patients with CMBs. Multivariate logistic regression analyses revealed age and hypertension were independently associated with the presence of CMBs. Among the patient cohort, 450 cases completed the follow-up. During the follow-up period, 22 (4.9%) of patients developed ICH, 12 (2.7%) developed TIA, 68 (15.1%) developed RIS, cardiovascular events occurred in 20 (4.44%), and 13 (2.89%) cases were mortalities. Compared with patients without CMBs, IS patients with CMBs have an increased prevalence of ICH (p < 0.05). However, no statistically valid variations regarding other outcome incidences between both groups was identified (p > 0.05). The incidence of ICH was elevated in tandem with elevations in number of CMBs. Following adjusting for age, multivariate Cox proportional-hazards regression analysis revealed that CMBs ≥10 were independent predictors of ICH in acute IS patients.Conclusion: Age and hypertension are independently associated with the presence of CMBs. Intracranial hemorrhage incidence rate was increased with the number of CMBs, and the number of CMBs ≥10 were independent predictors of ICH in acute stroke patients.

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Risk factors analysis of HPS patients with acute Stanford A aortic dissection

10.21203/rs.2.14309/v1 ◽

2019 ◽

Author(s):

Qiuxia Xie ◽

Haoling Qin ◽

Ling Lin ◽

Jian Guan ◽

Xuhui Zhou

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Aortic Dissection ◽

Logistic Regression Analysis ◽

Independent Risk Factor ◽

Conditional Logistic Regression ◽

Control Group ◽

Case Group ◽

Conditional Logistic Regression Analysis

Abstract Background: AAD refers to the blood flow into the middle membrane through the intimal rupture of the aorta. HPS is a common complication of Stanford-A AAD. The risk factors of HPS are remaining unclear Methods: In this study, we have probed the potential risk factors of hepatopulmonary syndrome (HPS) patients with acute Stanford A aortic dissection. 18 HPS patients with acute Stanford A aortic dissection were selected as case group. 36 Normal people were considerate as control group. Demographic data, treatment methods, AD related disease history, clinical symptoms and Charlson comorbidity index (CCI) values of each patient were collected. Meanwhile, the values of maximum diameter of ascending aorta (mm), aortic dissection range, and main branch of aorta, pleural effusion/blood, and pericardial effusion/blood were measured by two experienced cardiovascular radiological physicians. Univariate and multivariate conditional logistic regression analysis were used in this study. Results: CCI value and the branches of the brachiocephalus in case group were significant higher than that in control group (p<0.05). Univariate conditional logistic regression analysis showed CCI and branches of the brachiocephalus were associated with HPS. Multivariate conditional logistic regression analysis suggested that branches of the brachiocephalus was an independent risk factor for HPS (OR=7.02, 95%CI=1.28-38.62, p=0.025). Conclusions: Branches of the brachiocephalus were an independent risk factor for HPS.

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Association of Hypertriglycerideamia with Ischaemic Stroke

Bangladesh Journal of Neuroscience ◽

10.3329/bjn.v32i1.57411 ◽

2016 ◽

Vol 32 (1) ◽

pp. 34-38

Author(s):

Biplob Kumar Das ◽

Kanak Jyoti Mondal

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Ischaemic Stroke ◽

Significant Risk ◽

Serum Triglyceride ◽

Control Group ◽

Case Group ◽

Stepwise Logistic Regression ◽

Serum Triglyceride Level ◽

Analysis Model

Stroke is one of the foremost causes of morbidity, mortality and is a socioeconomic challenge. This is particularly true for developing countries like Bangladesh, where health support system including the rehabilitation system is not within the reach of common people. Hypertriglycerademia has an effective influence in the pathogenesis of Ischaemic Stroke (IS). So, the focus of this study was to evaluate and assess the association of serum triglyceride level in patients of IS. This case control study was carried out in the Department of Neurology in collaboration with Department of Biochemistry, BSMMU, Dhaka from July 2011 to June 2013. In this study, 60 diagnosed cases of ischaemic stroke patients and 60 age and sex matched healthy controls were enrolled. Risk factors of Ischemic Stroke (IS) patients were assessed ( adjusted Odds Ratio) in comparison with healthy adults. In this study, being married [OR. 1.95, 95% CI (0.40-9.42), p=0.409] , smoker [OR.1.65, 95% CI (0.57 - 4.82),p= 0.357], DM [OR. 1.48, 95% CI (0.36-6.06), p=0.582 ], IHD [OR. 1.51, 95% CI (0.29 – 7.89), p=0.624] , HTN [OR. 3.66, 95% CI (1.11–12.12), p=0.033] , overweight [OR.2.31, 95% CI (0.77 – 6.91), 0.135] and obesity [OR. 16.19, 95% CI (1.31–200.6), p=0.030] , increased level of serum TC [OR.8.24, 95% CI (2.07 – 32.83), p=0.003], TG [OR. 9.40, 95% CI (1.17 -75.86), p=0.035], LDL [OR. 0.45, 95% CI (0.10–2.05), p=0.308],and decreased level of HDL [OR. 3.37, 95% CI (1.03 - 12.25), p=0.045] were found as risk factors in developing IS. Independent t-test was done to find out the statistically significant differences of continuous variables like serum lipid profile between case and control group. The mean (SD) value of TG which is focus of this study, was found 237.67 (61.74) in case group, and 169.97 (26.95) in control group which was highly statistically significant (p < 0.0001). All of the significant variables were entered into stepwise logistic regression analysis model. From the logistic regression model, it can be finally concluded that hypertension, obesity, increased level of TC, increased level of TG and decreased level of HDL were statistically significant risk factors for development of IS. Bangladesh Journal of Neuroscience 2016; Vol. 32 (1): 34-38

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Development of an Algorithm for Stroke Prediction: A National Health Insurance Database Study in Korea

European Neurology ◽

10.1159/000488366 ◽

2018 ◽

Vol 79 (3-4) ◽

pp. 214-220 ◽

Cited By ~ 4

Author(s):

Seung Nam Min ◽

Se Jin Park ◽

Dong Joon Kim ◽

Murali Subramaniyam ◽

Kyung-Sun Lee

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Health Insurance ◽

National Health Insurance ◽

National Health ◽

Stroke Prevention ◽

Normal Subjects ◽

Control Group ◽

Modifiable Risk Factors ◽

Stroke Patients

Background: Stroke is the second leading cause of death worldwide and remains an important health burden both for the individuals and for the national healthcare systems. Potentially modifiable risk factors for stroke include hypertension, cardiac disease, diabetes, and dysregulation of glucose metabolism, atrial fibrillation, and lifestyle factors. Objects: We aimed to derive a model equation for developing a stroke pre-diagnosis algorithm with the potentially modifiable risk factors. Methods: We used logistic regression for model derivation, together with data from the database of the Korea National Health Insurance Service (NHIS). We reviewed the NHIS records of 500,000 enrollees. For the regression analysis, data regarding 367 stroke patients were selected. The control group consisted of 500 patients followed up for 2 consecutive years and with no history of stroke. Results: We developed a logistic regression model based on information regarding several well-known modifiable risk factors. The developed model could correctly discriminate between normal subjects and stroke patients in 65% of cases. Conclusion: The model developed in the present study can be applied in the clinical setting to estimate the probability of stroke in a year and thus improve the stroke prevention strategies in high-risk patients. The approach used to develop the stroke prevention algorithm can be applied for developing similar models for the pre-diagnosis of other diseases.

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

Clinical and Applied Thrombosis/Hemostasis ◽

10.1177/1076029619866909 ◽

2019 ◽

Vol 25 ◽

pp. 107602961986690 ◽

Cited By ~ 1

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.

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Association of Adiponectin Gene Variations with Risk of Incident Myocardial Infarction and Ischemic Stroke: A Nested Case-Control Study

Clinical Chemistry ◽

10.1373/clinchem.2006.074476 ◽

2006 ◽

Vol 52 (11) ◽

pp. 2021-2027 ◽

Cited By ~ 45

Author(s):

Hillary H Hegener ◽

I-Min Lee ◽

Nancy R Cook ◽

Paul M Ridker ◽

Robert YL Zee

Keyword(s):

Risk Factors ◽

Myocardial Infarction ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Conditional Logistic Regression ◽

Adiponectin Gene ◽

Conditional Logistic Regression Analysis ◽

Caucasian Men ◽

Potential Risk Factors

Abstract Background: Adiponectin (ADIPOQ) gene variations are associated with risk of cardiovascular disease in patients with diabetes. No prospective data are available, however, on the risk of atherothrombotic disorders in persons with ADIPOQ variations who do not have diabetes. Methods: From a group of DNA samples collected at baseline in a prospective cohort of 14 916 initially healthy American men, we assessed the presence of 5 ADIPOQ genetic variants (rs266729, rs182052, rs822396, rs2241766, and rs1501299) in samples from 600 Caucasian men who subsequently suffered an atherothrombotic event (incident myocardial infarction or ischemic stroke) and from 600 age- and smoking-matched Caucasian men who remained free of reported vascular disease during follow-up (controls). Results: Genotype distributions for the variations tested were in Hardy-Weinberg equilibrium. Marker-by-marker conditional logistic regression analysis, adjusted for potential risk factors, showed an association of rs266729 [recessive: odds ratio (OR), 0.26; 95% confidence interval (CI), 0.10–0.64; P = 0.004] and rs182052 (recessive: OR, 0.40; 95% CI, 0.21–0.76; P = 0.006) with decreased risk of ischemic stroke. These findings remained significant after Bonferroni correction. Haplotype-based (constituted by rs266729, rs182052, and rs822396) conditional logistic regression analysis, adjusted for the same potential risk factors, showed an association of haplotype G-A-G (OR, 0.28; 95% CI, 0.09–0.87; P = 0.03) with decreased risk of ischemic stroke. Prespecified analysis limited to participants without baseline diabetes showed similar significant findings. Conclusions: The present prospective investigation provides further evidence for a protective role of adiponectin gene variation in the risk of ischemic stroke that was independent of the presence of diabetes.

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

Chinese Neurosurgical Journal ◽

10.1186/s41016-021-00255-z ◽

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.

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