scholarly journals TOAST Subtypes of Ischemic Stroke and Its Risk Factors: A Hospital-Based Study at Cipto Mangunkusumo Hospital, Indonesia

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Salim Harris ◽  
Saleha Sungkar ◽  
Al Rasyid ◽  
Mohammad Kurniawan ◽  
Taufik Mesiano ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Significant Risk ◽  
Large Artery ◽  
Stroke Risk Factor ◽  
Stroke Subtypes ◽  
Undetermined Etiology ◽  
Toast Classification

Background and Purpose. Stroke is a leading cause of death and disability, with ischemic stroke as the highest prevalent cases in Indonesia. Ischemic stroke can be classified further into five subtypes according to TOAST classification. Numerous studies have revealed that stroke risk factor has variable correlation with different stroke subtype. Currently, there is no data regarding this phenomenon in Indonesia. The aim of study is to identify characteristic of ischemic stroke subtypes and the risk factors in TOAST classification. Methods. A retrospective, cross-sectional study of patients diagnosed with ischemic stroke at Cipto Mangunkusumo Hospital from January till December 2016. Demographic data, ischemic stroke subtypes, risk factors, and other relevant data were documented. Bivariate and multivariate analysis was done using SPSS 23. Results. 235 recorded data patients were included. Large artery atherosclerosis (LAA) was the most prevalent stroke subtypes at 59,6%, followed with small vessel disease (SVD) at 26,7%, undetermined etiology at 9,8%, cardioembolism (CE) at 2,1%, and other determined etiology at 0,9%. Hypertension was the most common vascular risk factor. However, it was only significant in SVD (p=0,023) and undetermined etiology subtypes (p<0,001). Significant risk factor in LAA was diabetes (55%; p=0,016) while in CE subtypes was atrial fibrillation (60%;p<0,001). In multivariate analyses, hypertension (OR 3; 95% CI 1,12-8,05) was the only variable that was related to SVD while in CE it was atrial fibrillation (OR 113,5; 95% CI 13,6-946,5). Conclusion. LAA was the most common stroke ischemic subtypes. Associated risk factor in LAA was diabetes while in SVD and undetermined etiology subtypes it was hypertension. Atrial fibrillation was associated with cardioembolism.

Patient Demographics, Characteristics, and Intrahospital Mortality of Different Ischemic Stroke Subtypes in a Tertiary Hospital during Five-Year Period

2021 ◽  
Vol 6 (1) ◽  
pp. 6
Author(s):  
Sintija Strautmane ◽  
Kristaps Jurjāns ◽  
Estere Zeltiņa ◽  
Evija Miglāne ◽  
Andrejs Millers
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Reperfusion Therapy ◽  
Cardioembolic Stroke ◽  
Study Group ◽  
Large Artery ◽  
Patient Demographics ◽  
Stroke Subtypes ◽  
Female Predominance ◽  
Study Population

Background and Objectives. Ischemic stroke (IS) is one of the leading causes of disability, morbidity, and mortality worldwide. The goal of the study was to evaluate patient demographics, characteristics, and intrahospital mortality among different ischemic stroke subtypes. Materials and Methods. A retrospective observational non-randomized study was conducted, including only ischemic stroke patients, admitted to Pauls Stradins Clinical university hospital, Riga, Latvia, from January of 2016 until December 2020. Ischemic stroke subtypes were determined according to Trial of Org 10172 in Acute Stroke Treatment (TOAST) criteria as a stroke due to (1) large-artery atherosclerosis (atherothrombotic stroke (AS)), (2) cardioembolism (cardioembolic stroke (CS)), (3) small-vessel occlusion (lacunar stroke (LS)), (4) stroke of other determined etiology (other specified stroke (OSS)), and (5) stroke of undetermined etiology (undetermined stroke (US)). The data between different stroke subtypes were compared. Results. There was a slight female predominance among our study population, as 2673 (56.2%) patients were females. In our study group, the most common IS subtypes were cardioembolic stroke (CS), 2252 (47.4%), and atherothrombotic stroke (AS), 1304 (27.4%). CS patients were significantly more severely disabled on admission, 1828 (81.4%), and on discharge, 378 (16.8%), p < 0.05. Moreover, patients with CS demonstrated the highest rate of comorbidities and risk factors. This was also statistically significant, p < 0.05. Differences between the total patient count with no atrial fibrillation (AF), paroxysmal AF, permanent AF, and different IS subtypes among our study population demonstrated not only statistical significance but also a strong association, Cramer’s V = 0.53. The majority of patients in our study group were treated conservatively, 3389 (71.3%). Reperfusion therapy was significantly more often performed among CS patients, 770 (34.2%), p < 0.05. The overall intrahospital mortality among our study population was 570 (12.0%), with the highest intrahospital mortality rate noted among CS patients, 378 (66.3%), p < 0.05. No statistically significant difference was observed between acute myocardial infarction and adiposity, p > 0.05. Conclusions. In our study, CS and AS were the most common IS subtypes. CS patients were significantly older with slight female predominance. CS patients demonstrated the greatest disability, risk factors, comorbidities, reperfusion therapy, and intrahospital mortality.

Abstract T P153: Women and Men with Ischemic Stroke in SiGN Have Different Subtype Distributions and Risk Factors

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kathryn M Rexrode ◽  
Braxton D Mitchell ◽  
Kathleen A Ryan ◽  
Steven J Kittner ◽  
Hakan Ay ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Stroke Risk ◽  
Cardioembolic Stroke ◽  
Relative Distribution ◽  
Large Artery ◽  
Stroke Risk Factors ◽  
Stroke Subtypes ◽  
Small Artery Occlusion ◽  
Ischemic Stroke Risk

Introduction: The relative distribution of stroke risk factors, as well as ischemic stroke subtypes, in women compared with men is not well described. Hypothesis: We hypothesized that the distribution of ischemic stroke risk factors and subtypes would differ by sex, with a later onset in women and greater proportion of comorbidities. Methods: The NINDS Stroke Genetics Network (SiGN) consortium was established to evaluate genetic risk factors for ischemic stroke. A total of 23 separate studies performed Causative Classification of Stroke (CCS) typing using standardized criteria on ischemic stroke cases and contributed data on risk factors. We compared the distribution of ischemic stroke risk factors and CCS phenotypes between men and women with ischemic stroke. Results: Of the 16,228 ischemic strokes in SiGN, 8005 (49.3%) occurred in women. Median age at stroke was older in female than male stroke cases (73 vs. 66 years) (p=<0.0001). Among stroke cases, women were more likely than men cases to have hypertension or atrial fibrillation and less likely to have diabetes or coronary artery disease, or to smoke (p <0.003 for all). The distribution of stroke subtypes also differed by sex, with women less likely than men to have large artery infarction and small artery occlusion, and more likely to have cardioembolic stroke and undetermined stroke due to incomplete work-up (p values all <0.0001; see Table). Results were similar when the distribution of stroke subtypes was examined for those <70 years and ≥70 years, except for cardioembolic stroke remaining more common only among women ≥70. Conclusions: In this large group of carefully phenotyped ischemic strokes, the distribution of ischemic stroke subtypes and risk factor profiles differ significantly by sex. Evaluation of the causes of these differences may highlight areas for improved prevention and risk reduction in both genders.

Abstract 3884: Stroke Subtypes in Hispanic Patients in the NINDS Stroke Genetics Network (SiGN): A Comparison of Two Classification Systems

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Michael Katsnelson ◽  
Tatjana Rundek ◽  
Ralph Sacco ◽  
Hannah Gardener ◽  
Shaneela Malik ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Classification Systems ◽  
Blood Collection ◽  
Large Artery ◽  
Stroke Subtype ◽  
Reliable Determination ◽  
Stroke Treatment ◽  
Stroke Subtypes ◽  
Small Artery Occlusion

Objectives: Identification of gene variants of stroke subtypes is important for the development of tailored ischemic stroke therapies among various ethnic groups. Valid and reliable determination of ischemic stroke subtype is essential for achieving this goal and to standardize a classification scheme across multi-center studies and different populations. Causative Classification System for Ischemic Stroke (CCS) is a novel computerized subclassification tool developed to improve reliability and accuracy of classifying stroke types. The CCS algorithm relies on both phenotypic and causative stroke variables. A Hispanic subset of the SiGN, an important and distinct target population with greater risk of certain stroke subtypes, was evaluated with Trial of Org 10172 in Acute Stroke Treatment (TOAST) and CCS and the agreement between the two classification systems was analyzed. Methods: Over 6000 subjects at 15 sites across US and Europe were enrolled, with TOAST and CCS locally adjudicated. Blood collection and central data quality control (10% central readjudication) were performed on all participants. A subset of Hispanics was analyzed for the purpose of this study and the agreement between the TOAST and CCS were assessed by kappa statistic. Findings: Hispanics (n=595, 10.9%) compared to non-Hispanics (n=5457) were more likely to be younger (63.7 vs. 64.0), male (55% vs. 46%) and have fewer of the traditional stroke risk factors HTN (54% vs. 64%), Afib (11% vs. 14%), DM(23% vs. 25%), CAD(16% vs. 20%) and smoking(19% vs. 22%). While the TOAST showed no differences between stroke subtypes for Hispanic vs. non-Hispanics, in CCS, Hispanics were classified with more of large vessel (22% vs. 20%), cardioembolic (37% vs. 30%) and small vessel strokes (13% vs. 9%) and fewer with undetermined etiology (28% vs. 40%) as compared to non-Hispanics. TOAST and CCS offered moderate correlation across all stroke types in Hispanics: kappa of 0.66 for large artery atherosclerosis, 0.58 for cardioembolic, and 0.58 for small artery occlusion. Conclusion: CCS offers a more sensitive and accurate system for subphenotyping of strokes in Hispanics who tended to have relatively fewer risk factors and unclassified strokes. Further studies correlating the two classification systems and their relation to genotyping data are warranted.

Abstract WP236: The Urban-Rural Divide: Risk Factor Prevalence in Ischemic Stroke Patients Across Two Decades

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Dinesh V Jillella ◽  
Sara Crawford ◽  
Anne S Tang ◽  
Rocio Lopez ◽  
Ken Uchino
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Regression Models ◽  
Stroke Risk ◽  
Stroke Patients ◽  
Stroke Risk Factor ◽  
Risk Factor Prevalence ◽  
Urban Rural ◽  
Artery Disease

Introduction: Regional disparities exist in stroke incidence and stroke related mortality in the United States. We aimed to elucidate the stroke risk factor prevalence trends based on urban versus rural location. Methods: From the National Inpatient Sample database the comorbid stroke risk factors were collected among hospitalized ischemic stroke patients during 2000-2016. Crude and age-and sex-standardized prevalence estimates were calculated for each risk factor during the time periods 2000-2008 and 2009-2016. We compared risk factor prevalence over the defined time periods using regression models, and differences in risk factor trends based on patient location categorized as urban (metropolitan with population of ≥ 1 million) and rural (neither micropolitan or metropolitan) using interaction terms in the regression models. Results: Stroke risk factor prevalence significantly increased from 2000-2008 to 2009-2016. When stratified based on patient location, most risk factors increased in both urban and rural groups. In the crude model, the urban to rural trend difference across 2000-08 and 2009-16 was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0008), diabetes mellitus (p<0.0001), coronary artery disease (p<0.0001), smoking (p<0.0001) and alcohol (p=0.02). With age and sex standardization, the urban to rural trend difference was significant in hypertension (p<0.0001), hyperlipidemia (p=0.0007), coronary artery disease (p=0.01) and smoking (p<0.0001). Conclusion: The prevalence of vascular risk factors among ischemic stroke patients has increased over the last two decades. There exists an urban-rural divide, with rural patients showing larger increases in prevalence of several risk factors compared to urban patients.

scholarly journals Detailed phenotyping of posterior vs. anterior circulation ischemic stroke: a multi-center MRI study

2019 ◽  
Vol 267 (3) ◽  
pp. 649-658 ◽  
Author(s):  
Petrea Frid ◽  
◽  
Mattias Drake ◽  
A. K. Giese ◽  
J. Wasselius ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ischemic Stroke ◽  
Artery Occlusion ◽  
Large Artery ◽  
Small Artery ◽  
Anterior Circulation ◽  
Lesion Location ◽  
Stroke Subtypes ◽  
Small Artery Occlusion ◽  
Male Sex

Abstract Objective Posterior circulation ischemic stroke (PCiS) constitutes 20–30% of ischemic stroke cases. Detailed information about differences between PCiS and anterior circulation ischemic stroke (ACiS) remains scarce. Such information might guide clinical decision making and prevention strategies. We studied risk factors and ischemic stroke subtypes in PCiS vs. ACiS and lesion location on magnetic resonance imaging (MRI) in PCiS. Methods Out of 3,301 MRIs from 12 sites in the National Institute of Neurological Disorders and Stroke (NINDS) Stroke Genetics Network (SiGN), we included 2,381 cases with acute DWI lesions. The definition of ACiS or PCiS was based on lesion location. We compared the groups using Chi-squared and logistic regression. Results PCiS occurred in 718 (30%) patients and ACiS in 1663 (70%). Diabetes and male sex were more common in PCiS vs. ACiS (diabetes 27% vs. 23%, p < 0.05; male sex 68% vs. 58%, p < 0.001). Both were independently associated with PCiS (diabetes, OR = 1.29; 95% CI 1.04–1.61; male sex, OR = 1.46; 95% CI 1.21–1.78). ACiS more commonly had large artery atherosclerosis (25% vs. 20%, p < 0.01) and cardioembolic mechanisms (17% vs. 11%, p < 0.001) compared to PCiS. Small artery occlusion was more common in PCiS vs. ACiS (20% vs. 14%, p < 0.001). Small artery occlusion accounted for 47% of solitary brainstem infarctions. Conclusion Ischemic stroke subtypes differ between the two phenotypes. Diabetes and male sex have a stronger association with PCiS than ACiS. Definitive MRI-based PCiS diagnosis aids etiological investigation and contributes additional insights into specific risk factors and mechanisms of injury in PCiS.

Cryptogenic Stroke and Embolic Stroke of Undetermined Source: Risk Factors and Approaches for Detection of Atrial Fibrillation

2021 ◽  
Vol 18 ◽  
Author(s):  
Idaliya Rakhimova ◽  
Yuliya Semenova ◽  
Talgat Khaibullin ◽  
Anargul Kuanysheva ◽  
Vitalii Kovalchuk ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Heart Rate ◽  
Ischemic Stroke ◽  
Cryptogenic Stroke ◽  
Heart Rhythm ◽  
Antiplatelet Agents ◽  
Embolic Stroke ◽  
Optimal Method ◽  
Undetermined Etiology

Background: Stroke is a problem worldwide because of its high mortality and disability rates. Almost 90% of strokes are ischemic, and more than half of the deaths are caused by an ischemic stroke. Most risk factors for stroke are manageable so that it can be avoided with proper prevention. Despite the success in determining the causes of stroke in recent years, selectively, the "culprit" causing stroke remains unsolved. In such cases, a diagnosis of undetermined etiology (cryptogenic stroke) or embolic stroke of undetermined source (ESUS) is generated, resulting the prevention of a recurrent cerebrovascular occurrence impossible. Atrial fibrillation (AF) can be a cause of stroke by causing blood clots in the chambers of the heart. Purpose: The aim was to determine the optimal method of heart rate monitoring in patients with ischemic stroke, as methods and approaches for detecting AF are very diverse, but there is still no single opinion, which would be universal. Procedures: In our review, we consider epidemiology, risk factors for the stroke of undetermined etiology, as well as analytical methods for detecting heart rhythm disturbances in this category of patients. Findings: Atrial fibrillation (AF) is detected by thorough monitoring of heart rate of patients with cryptogenic stroke and ESUS can be diagnosed in up to 46% of patients. Conclusion. After AF detection, consideration should be given to prescribing anticoagulants, instead of antiplatelet agents, for the secondary prevention of stroke.

scholarly journals A hospital-based study of post-stroke aphasia: frequency, risk factors, and topographic representation

2019 ◽  
Vol 56 (1) ◽  
Author(s):  
Eman M. Khedr ◽  
Mohamed A. Abbass ◽  
Radwa K. Soliman ◽  
Ahmed F. Zaki ◽  
Aymen Gamea ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Parietal Lobe ◽  
Inferior Parietal Lobe ◽  
Post Stroke ◽  
Motor Aphasia ◽  
Sensory Aphasia ◽  
High Risk Factor

Abstract Background and objective The crude prevalence rate of stroke in Qena, Egypt, is high (922/100,000). For the first time, we estimate the frequency of aphasia following the first-ever ischemic stroke and its relationship to the site of lesion in Arabic-speaking countries. Methods The study was conducted on 180 acute or subacute ischemic stroke patients. Aphasia was diagnosed with the short form of the Boston Diagnostic Aphasia Examination after establishment of the cases (at least 10 days of stroke onset). Computed tomography and/or magnetic resonance imaging were performed for topographic localization of stroke, and routine laboratory investigations were done to evaluate the possible stroke risk factors. Results The frequency of post-stroke aphasia was recorded in 20%, and atrial fibrillation (AF) represents a high-risk factor for ischemic stroke with aphasia. The following categories were observed: global aphasia in 50%, motor aphasia in 27.7%, sensory aphasia in 11.1%, nominal aphasia in 2.8%, and conductive aphasia in 8.3%. Global aphasia was mainly associated with complete middle cerebral artery (MCA) territories infarction. Motor aphasia was associated mainly with frontal or frontoparietal operculum lesions as well as basal ganglionic lesions. Sensory aphasia was associated with temporal lobe lesions, inferior parietal lobe, and basal ganglia. Conductive aphasia showed lesions in the deep white matter of the frontal and parietal lobes. Anomic aphasia was associated with inferior parietal lobe lesion. Conclusion Our data are consistent with other reports as regards the frequency and risk factors of post-stroke aphasia. Atrial fibrillation represents a high-risk factor for ischemic strokes with aphasia. Global and motor aphasia are the major subtypes. The lesion locations are predictive of aphasia subtypes.

scholarly journals Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chase Rathfoot ◽  
Camron Edrissi ◽  
Carolyn Breauna Sanders ◽  
Krista Knisely ◽  
Nicolas Poupore ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Gender Differences ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Sleep Apnea ◽  
Serum Creatinine ◽  
Univariate Analysis ◽  
Disease Process ◽  
History Of

Abstract Background Atrial Fibrillation (AF) is a common cardiac arrhythmia and has been identified as a major risk factor for acute ischemic stroke (AIS). Gender differences in the disease process, causative mechanisms and outcomes of AF have been investigated. In the current study, we determined whether there is a gender-based disparity in AIS patients with baseline AF, and whether such a discrepancy is associated with specific risk factors and comorbidities. Methods Baseline factors including comorbidities, risk and demographic factors associated with a gender difference were examined using retrospective data collected from a registry from January 2010 to June 2016 in a regional stroke center. Univariate analysis was used to differentiate between genders in terms of clinical risk factors and demographics. Variables in the univariate analysis were further analyzed using logistic regression. The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for each factor were used to predict the increasing odds of an association of a specific comorbidity and risk factor with the male or female AIS with AF. Results In the population of AIS patients with AF, a history of drug and alcohol use (OR = 0.250, 95% CI, 0.497–1.006, P = 0.016), sleep apnea (OR = 0.321, 95% CI, 0.133–0.777, P = 0.012), and higher serum creatinine (OR = 0.693, 95% CI, 0.542–0.886 P = 0.003) levels were found to be significantly associated with the male gender. Higher levels of HDL-cholesterol (OR = 1.035, 95% CI, 1.020–1.050, P < 0.001), LDL-cholesterol (OR = 1.006, 95% CI, 1.001–1.011, P = 0.012), and the inability to ambulate on admission to hospital (OR = 2.258, 95% CI, 1.368–3.727, P = 0.001) were associated with females. Conclusion Our findings reveal that in the AIS patients with atrial fibrillation, migraines, HDL, LDL and poor ambulation were associated with females, while drugs and alcohol, sleep apnea, and serum creatinine level were associated with male AIS patients with AF. Further studies are necessary to determine whether gender differences in risk factor profiles and commodities require consideration in clinical practice when it comes to AF as a risk factor management in AIS patients.

scholarly journals White matter hyperintensity burden in acute stroke patients differs by ischemic stroke subtype

Neurology ◽  
2020 ◽  
Vol 95 (1) ◽  
pp. e79-e88 ◽  
Author(s):  
Anne-Katrin Giese ◽  
Markus D. Schirmer ◽  
Adrian V. Dalca ◽  
Ramesh Sridharan ◽  
Kathleen L. Donahue ◽  
...  
Keyword(s):  
Risk Factor ◽  
Ischemic Stroke ◽  
White Matter ◽  
Brain Mri ◽  
Vascular Risk Factor ◽  
White Matter Hyperintensity ◽  
Large Artery ◽  
Vascular Risk ◽  
Stroke Subtypes ◽  
Small Artery Occlusion

ObjectiveTo examine etiologic stroke subtypes and vascular risk factor profiles and their association with white matter hyperintensity (WMH) burden in patients hospitalized for acute ischemic stroke (AIS).MethodsFor the MRI Genetics Interface Exploration (MRI-GENIE) study, we systematically assembled brain imaging and phenotypic data for 3,301 patients with AIS. All cases underwent standardized web tool–based stroke subtyping with the Causative Classification of Ischemic Stroke (CCS). WMH volume (WMHv) was measured on T2 brain MRI scans of 2,529 patients with a fully automated deep-learning trained algorithm. Univariable and multivariable linear mixed-effects modeling was carried out to investigate the relationship of vascular risk factors with WMHv and CCS subtypes.ResultsPatients with AIS with large artery atherosclerosis, major cardioembolic stroke, small artery occlusion (SAO), other, and undetermined causes of AIS differed significantly in their vascular risk factor profile (all p < 0.001). Median WMHv in all patients with AIS was 5.86 cm3 (interquartile range 2.18–14.61 cm3) and differed significantly across CCS subtypes (p < 0.0001). In multivariable analysis, age, hypertension, prior stroke, smoking (all p < 0.001), and diabetes mellitus (p = 0.041) were independent predictors of WMHv. When adjusted for confounders, patients with SAO had significantly higher WMHv compared to those with all other stroke subtypes (p < 0.001).ConclusionIn this international multicenter, hospital-based cohort of patients with AIS, we demonstrate that vascular risk factor profiles and extent of WMH burden differ by CCS subtype, with the highest lesion burden detected in patients with SAO. These findings further support the small vessel hypothesis of WMH lesions detected on brain MRI of patients with ischemic stroke.

Enhanced platelet activation by prolactin in patients with ischemic stroke

2006 ◽  
Vol 96 (07) ◽  
pp. 38-44 ◽  
Author(s):  
Tobias Lohmann ◽  
Eva Hild ◽  
Anna Kobsar ◽  
Annelie Siegemund ◽  
E. Spilcke-Liss ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Ischemic Stroke ◽  
Hemorrhagic Stroke ◽  
Platelet Reactivity ◽  
Aspirin Therapy ◽  
Plasma Prolactin ◽  
Ischemic Attack

SummaryProlactin and leptin are newly recognised platelet co-stimulators due to potentiation of ADP-induced platelet aggregation. Elevated leptin levels have recently been found to be a risk factor for ischemic stroke in both men and women, and especially in combination with increased blood pressure for hemorrhagic stroke in men. Until now an association between hyperprolactinemia and ischemic stroke has not been investigated systematically.We determined plasma prolactin and leptin levels as well as platelet P-selectin expression in 36 patients with ischemic stroke or transient ischemic attack and detecteda significant correlation between increased prolactin values and enhanced ADP stimulated P-selectin expression on platelets. In contrast, no correlation of leptin values with platelet P-selectin expression was found. Next we determined plasma prolactin and leptin as well as acquired and congenital risk factors of thrombophilia in patients with first-ever non-hemorrhagic stroke with or without atrial fibrillation. Excluding patients with such preexisting risk factors,21 patients with and 59 patients without atrial fibrillation were identified. Patients without atrial fibrillation revealed significantly higher plasma prolactin levels than patients with atrial fibrillation. Furthermore, the influence of aspirin or clopidogrel on prolactin stimulated P-selectin expression in vitro was tested, showing that aspirin was without effect,whereas clopidogrel significantly inhibited platelet P-selectin expression. In conclusion, hyperprolactinemia might be a novel risk factor for stroke mediating its thrombogenic effect through enhanced platelet reactivity, and this might correspond to a higher efficacy of antiplatelet combination therapy with clopidogrel compared to aspirin therapy alone.

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