Acute Stroke Treatment Classification Research Articles

Variations in Risk Factors across Different Periods of Stroke and Transient Ischemic Attack Recurrence.

Accurately discerning periods of heightened risk of stroke or transient ischemic attack (TIA) recurrence and managing modifiable risk factors are essential for minimizing overall recurrence risk. This study identified differences in the timing of stroke or TIA recurrence based on risk factors and patient characteristics to develop strategies for reducing recurrence in clinical practice. We retrospectively selected patients with ischemic stroke or TIA at the Korea University Ansan Hospital Stroke Center between March 2014 and December 2021 using the prospective institutional database of the Korea University Stroke Registry. We collected demographic, clinical data, and categorized participants by recurrence timing (early within or late after 3 months). Using multinomial logistic regression analysis, we examined variables associated with early and late recurrent stroke or TIAs. Among 3,646 patients, 255 experienced a recurrent stroke or TIA and 3,391 experienced their first stroke or TIA. Multinomial logistic regression analysis revealed significant associations between early recurrent stroke or TIA and diabetes mellitus (odds ratio [OR]: 1.98, 95% confidence interval [CI]: 1.25-3.15), other determined etiologies in the Trial of Org 10172 in the Acute Stroke Treatment classification (OR: 3.00, 95% CI: 1.37-6.61), and white matter changes (OR: 1.97, 95% CI: 1.17-3.33). Late recurrence showed a significant correlation with TIA (OR: 2.95, 95% CI: 1.52-5.71) and cerebral microbleeds (OR: 2.22, 95% CI: 1.32-3.75). Substantial differences in factors contribute to stroke or TIA recurrence based on timing. Managing the risk of recurrence in clinical practice necessitates accurate identification of heightened risk periods and rigorous control of modifiable risk factors.

Clot patterns determined by DSA and CTA can help predict intracranial atherosclerotic stenosis in acute ischemic stroke patients.

This study examines whether clot patterns at large artery occlusion sites, as observed using digital subtraction angiography (DSA) and computed tomography angiography (CTA), can reliably indicate intracranial atherosclerotic stenosis (ICAS) in acute ischemic stroke (AIS) patients. We conducted a retrospective analysis of patients treated with stent retriever thrombectomy for intracranial occlusions at our institute since 2017, with follow-up assessments conducted at 3 months. The patients were grouped based on the initial angiography clot topographies (i.e., cut-off or tapered signs). We assessed the potential of these topographies in predicting ICAS, including a clinical outcome analysis based on clot pattern, age, Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, and onset-to-door time. Among 131 patients (with a mean age of 66.6 years), the clot pattern emerged as a significant predictor of ICAS. The DSA-based model had a predictive area under the curve (AUC) of 0.745, with 55.1% sensitivity and 94.0% specificity. A multivariate model including age, onset-to-door time, TOAST classification as large artery atherosclerosis (LAA), and the presence of the tapered sign in clot patterns had an AUC of 0.916. In patients over 65 years of age with an onset-to-door time of >5 h and exhibiting a tapered sign in the clot pattern, the AUC reached 0.897. The predictive ability of the tapered sign was similar in DSA and CTA, showing 73.4% agreement between modalities. The clot pattern with the tapered sign as observed using DSA is significantly associated with ICAS. Incorporating this clot pattern with age, TOAST classification as LAA, and onset-to-door time enhances the prediction of ICAS. The clot pattern identified by CTA is also a reliable predictor, highlighting the importance of assessing clot patterns in ICAS identification.

Risk Factors and Stroke Subtyping in Young Adults: A Study From a Tertiary Care Hospital in South India.

This study aimed to determine the risk factors and stroke subtypes for young ischemic stroke patients and their outcomes at the time of discharge. This is a retrospective cross-sectional study of ischemic stroke patients (n = 264) between the age groups of 18 and 45. The study population was divided into two broad age groups: 18 to 35 years and 36 to 45 years; and compared based on demographics, risk factors, the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, and outcomes. The outcomes were compared based on the National Institutes of Health Stroke Scale (NIHSS) and Modified Rankin Scale (MRS) systems at the time of admission and discharge. The mean age of patients was 37.84±6.19 years. The male-to-female ratio was 2.5:1. The most common vascular risk factors identified were diabetes (29.16%), hypertension (49.62%), dyslipidaemia (DLP, 44.4%), and smoking (10.9%). The most common TOAST subtype was large vessel disease (38.63%), followed by the undetermined category (35.6%). The elderly group showed a high proportion of strokes secondary to small vessel disease (14.13%; p = 0.03), while cardioembolic strokes were common in the female subgroup (p = 0.05). The majority of strokes were in the anterior circulation (66.6%) as compared to the posterior (25.75%), and nearly 50% of the patients had intracranial disease. Overall, there was a favourable MRS outcome at discharge. Conventional vascular risk factors are equally prevalent, even among young stroke patients. The benchmark for young stroke age is showing a downward shift as more stroke patients above the age of 35 are showing similar risk factor trends as those of their older counterparts. The majority of stroke burden still falls under the undermined category, which requires aggressive risk factor identification and management.

Stroke Demographics, Risk Factors, Subtypes, Syndromes, Mechanisms and Inter-Ethnic Differences between Chinese, Malays and Indians in Singapore-A Hospital-Based Study.

Disparities in stroke may be due to socioeconomics, demographics, risk factors (RF) and ethnicity. Asian data are scant. This retrospective hospital-based study aimed to explore demographics, RF, stroke subtypes and mechanisms among the Chinese, Malays and Indians in Singapore. Stroke was subtyped into haemorrhagic stroke (HS) and ischaemic stroke (IS). For IS, the clinical syndrome was classified using the Oxfordshire Community Stroke Project (OCSP) classification while the stroke mechanism was categorised using the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. During the study period 1 June 2015 to 31 December 2023, data were collected on 1165 patients, with a mean age of 65.6 ± 12.9 yr; 47.4% were female, 83% were Chinese and hypertension (63.5%) and hyperlipidaemia (60.3%) were the most common RF. HS comprised 23.5% (95%CI 21.1-26.1%) (intracerebral 21.7%, subarachnoid 1.3%) of the patients, while IS comprised 76.5% (95%CI 73.9-78.9%) (small artery occlusion 29.0%, cardioembolism 13.3%, large artery atherosclerosis 9.4%, stroke of other determined aetiology 6.2%, stroke of undetermined aetiology 18.6%); 55% of patients had lacunar syndrome. A multivariable analysis showed that HS was associated with ethnicity (p = 0.044), diabetes mellitus (OR 0.27, 95%CI 0.18-0.41, p < 0.001) and smoking (OR 0.47, 95%CI 0.34-0.64, p < 0.001). There were no significant inter-ethnic differences by the OCSP (p = 0.31) or TOAST (p = 0.103) classification. While differences in stroke subtype in Asia may be due to RF, ethnicity has a role. More studies are needed to further explore this.

Etiologic subtypes of first and recurrent ischemic stroke in young patients using A-S-C-O and TOAST classification criteria: A retrospective follow-up study.

Scarce data exist on the etiology of recurrent ischemic strokes (ISs) among young adults. We analyzed the etiology of first-ever and recurrent events and the differences between them. Patients aged 15-49 years with a first-ever IS in 1994-2007 were included in the Helsinki Young Stroke Registry. In this retrospective cohort study, data on recurrent ISs were identified from Care Register for Health Care until the end of 2017 and Causes of Death Register and from patient records until the end of 2020. All first-ever and recurrent ISs were classified using Atherosclerosis-Small vessel disease-Cardioembolism-Other Cause (A-S-C-O) and Trial of Org 10172 in Acute Stroke Treatment (TOAST) classifications. A total of 970 patients were included (median age at index IS 46 years, interquartile range 43-48, 33% women), of which 155 (16.0%) patients had recurrent IS, with 8 (5.2%) fatal cases and 5 (3.2%) unverifiable cases. The median follow-up was 17.4 (IQR 13.9-21.7) years. Median time from the index event to the first recurrent event was 4.5 (interquartile range [IQR] 1.6-10.2) years. Recurrence was more often due to definite cardioembolism (10.7% vs 18.0%, p = 0.013), while the proportion of other definite A-S-C-O subgroups remained the same. With TOAST classification, the proportion of true cryptogenic ISs decreased (16.7% vs 6.7%, p = 0.003), while those with incomplete evaluation increased (9.3% vs 19.3%, p = 0.015). Other TOAST phenotypes remained the same. The proportion of definite cardioembolism increased at recurrence using the A-S-C-O classification and the number of cryptogenic ISs decreased using the TOAST classification, while cases with incomplete evaluation increased. Most etiologies remained the same.

Age and Gender Difference among Elderly Stroke Patients in a Rehabilitation Center, Retrospective Study

Aims This study aims to report the patients’ associated factors related to the study cohort. Methods This is a retrospective hospital-based cohort study that recruited 503 elderly patients (>55 years) with stroke from a tertiary rehabilitation center. Data were collected through a pre-designed case report form, and stroke was classified according to Data on Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification. Results There was a female predominance at a rate of 52.9% and a significant co-morbidity related to diabetes, hyperlipidemia, and hypertension in addition to cardiac disease. The ischemic stroke affected 84.7% of the studied sample. The univariate analysis reported that male gender, diabetes, hypertension, and hyperlipidemia were not associated with an increased risk of non-ischemic stroke, while obesity showed a paradoxical reduction in the risk of stroke. Conclusion Stroke among old patients behaves differently and warrants initiating both primary and secondary prevention programs.

Risk Factors for Post-Stroke Depression Following the Lifting of COVID-19 Restrictions.

Research on post-stroke depression (PSD) following the lifting of coronavirus disease 2019 (COVID-19) restrictions remains sparse. This study aimed to investigate the factors associated with PSD after the easing of COVID-19 restriction measures. This cross-sectional study was conducted with 947 stroke patients (cerebral hemorrhage and cerebral infarction) meeting the inclusion criteria. Participants completed a demographic questionnaire and the Patient Health Questionnaire-9 (PHQ-9). Additionally, data were collected on C-reactive protein (CRP), homocysteine (Hcy), modified Rankin Scale (mRS), stroke site, National Institutes of Health Stroke Scale (NIHSS), thyroid-stimulating hormone (TSH), and the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. This study assessed correlations between these indices and PSD. Stroke patients with a PHQ-9 score ≥5 were identified as having PSD, with a prevalence rate of 14.15%. No significant correlation was found between previous COVID-19 infection and PSD. However, multiple regression analysis revealed associations between PSD and the following factors: TSH (OR: 0.87, 95% CI: 0.76-1), CRP levels (OR: 1.01, 95% CI: 1-1.02), family history of stroke (OR: 4.25, 95% CI: 1.66-10.88), migraine history (OR: 8.63, 95% CI: 2.49-29.85), and shorter sleep duration (OR: 0.6, 95% CI: 0.51-0.71) (all P < 0.05). CRP, family history of stroke, migraine, sleep duration, and TSH are identified as independent risk factors for PSD following the lifting of COVID-19 restrictions.

OUTCOMES OF WARFARIN THERAPY FOR SECONDARY PREVENTION OF ISCHEMIC STROKE: A RETROSPECTIVE, FOLLOW-UP STUDY

Aim: Anticoagulant prophylaxis is recommended because cardioembolic ischemic stroke is associated with worse functional outcomes, increased recurrence rates, and higher mortality. This study aimed to investigate the rates of recurrent ischemic attacks and bleeding complications in patients receiving warfarin following ischemic stroke. Method: In this retrospective analysis, a total of 181 individuals who were initiated on warfarin therapy following an ischemic stroke were included in the study. These patients were subsequently monitored for a duration spanning from 1 month to as long as 16 years. The acute ischemic stroke diagnosis was established using the Trial of Org 10172 in Acute Stroke Treatment classification criteria. Patient follow-up periods, international normalized ratio (INR) levels, ischemic events, and bleeding were recorded and evaluated. Results: In the patient cohort, 97 (53.6%) were women and 84 (46.4%) were men. The recurrent ischemic stroke rate was 7.2%, major bleeding rate was 3.3%, and minor bleeding rate was 12.7%. While the average INR value during recurrent ischemic stroke was 1.69±0.31, the average INR value during bleeding complications was observed to be 3.15±1.38. The rate of minor bleeding was related to duration of warfarin use and non-valvular atrial fibrillation. Conclusion: Our results show that long-term warfarin use and non-valvular atrial fibrillation are risk factors for bleeding.

Deep learning for prediction of mechanism in acute ischemic stroke using brain diffusion magnetic resonance image

Background: Acute ischemic stroke is a disease with multiple etiologies. Therefore, identifying the mechanism of acute ischemic stroke is fundamental to its treatment and secondary prevention. The Trial of Org 10172 in Acute Stroke Treatment classification is currently the most widely used system, but it often has a limitations of classifying unknown causes and inadequate inter-rater reliability. Therefore, we attempted to develop a three-dimensional (3D)-convolutional neural network (CNN)-based algorithm for stroke lesion segmentation and subtype classification using only the diffusion and apparent diffusion coefficient information of patients with acute ischemic stroke. Methods: This study included 2,251 patients with acute ischemic stroke who visited our hospital between February 2013 and July 2019. Results: The segmentation model for lesion segmentation in the training set achieved a Dice score of 0.843±0.009. The subtype classification model achieved an average accuracy of 81.9%, with accuracies of 81.6% for large artery atherosclerosis, 86.8% for cardioembolism, 72.9% for small vessel occlusion, and 86.3% for control.Conclusion: We developed a model to predict the mechanism of cerebral infarction using diffusion magnetic resonance imaging, which has great potential for identifying diffusion lesion segmentation and stroke subtype classification. As deep learning systems are gradually developing, they are becoming useful in clinical practice and applications.

Correlation Between Oncostatin M and Acute Ischemic Stroke: A Case-Control Study.

The expression of oncostatin M (OSM) has been studied in various diseases related to inflammatory response, but its implementation in acute ischemic stroke (AIS) remains to be explored. Objective: The objective of this study is to assess the correlation between serum OSM expression and various aspects of AIS in a clinical setting. A single-centered case-control study was performed in the First Affiliate Hospital of Chongqing Medical University from October 2020 to March 2021. A total of 134 patients were enrolled in the AIS group and 34 healthy individuals were enrolled in the control group. Physical examinations were performed and venous blood sampleswere collected. Enzyme-linked immunosorbent assay (ELISA) was used to measure serum OSM. Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification, National Institutes of Health Stroke Scale (NIHSS) score, magnetic resonance imaging (MRI) scan, and modified Rankin scale (mRS) were used to assess the classification, etiology, severity, and prognosis of the AIS group. Assessments were done to analyze serum OSM expression based on sensitivity, etiology, severity, prognosis, and several risk factors of AIS. Regression models, correlation, and sensitivity tests were performed to explore the correlation of OSM expression with various aspects of AIS. There was a statistically significant elevation of serum OSM expression in the AIS group (P<0.001). All AIS subgroups showed elevation in OSM level and statistically significant results were reflected in three subgroups. The area under the curve to differentiate AIS patients and control by serum OSM level was 0.747 (P<0.001), with the optimal cut-off value showing sensitivity at 58.82% and specificity at 75.37%. The elevation of serum OSM expression was proportional with severity, not proportional to the volume of infarct, and less elevated in thefavorable outcome group. Serum OSM correlation with several risk factors of AIS was statistically significant in age, low-density lipoprotein, non-high-density lipoprotein, prothrombin time, and systolic blood pressure. Serum OSM was expressed differently in correlation with various aspects of AIS. Our findings supported the initial hypothesis that OSM is correlated with various aspects of AIS in humans.

Association of HbA1c with functional outcome by ischemic stroke subtypes and age.

To determine whether high HbA1c levels are related to short-and long-term functional outcomes in patients with ischemic stroke (IS) and whether this association differs according to the IS subtype and the patient's age. The data of 7,380 IS patients admitted to 16 hospitals or regional stroke centers in South-Korea, between May 2017 and December 2019, were obtained from the Clinical Research Collaboration for Stroke-Korea-National Institute of Health database and retrospectively analyzed. Among these patients, 4,598 were followed-up for one-year. The HbA1c levels were classified into three groups (<5.7, 5.7 to <6.5%, ≥6.5%). Short-and long-term poor functional outcomes were defined using the modified Rankin Scale score of 2 to 6 at three-months and one-year, respectively. IS subtypes were categorized according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) classification. There was an association between higher HbA1c (≥6.5%) and poor functional outcomes at three-months in all patients (three-months; OR, 1.299, 95% CI 1.098, 1.535, one-year; OR, 1.181, 95% CI 0.952, 1.465). When grouped by age, the associations after both 3 months and 1 year observed in younger adult group (<65 years), but not in group aged 65 years and older (three-months; <65 years OR, 1.467, 95% CI 1.112, 1.936, ≥65 years OR, 1.220, 95% CI 0.987, 1.507, p for interaction = 0.038, one-year; <65 years OR, 1.622, 95% CI 1.101, 2.388, ≥65 years OR, 1.010, 95% CI 0.778, 1.312, p for interaction = 0.018). Among younger adult group, the higher HbA1c level was related to short-and long-term functional loss in patients with the small vessel occlusion subtype (three-months; OR, 2.337, 95%CI 1.334, 4.095, one-year; OR, 3.004, 95% CI 1.301, 6.938). However, in patients with other TOAST subtypes, a high HbA1c level did not increase the risk of poor outcomes, regardless of the age of onset. High HbA1c levels increase the risk of short-and long-term poor functional outcomes after IS onset. However, this association differs according to stroke subtype and age. Thus, pre-stroke hyperglycemia, reflected by HbA1c, may be a significant predictor for a poor prognosis after ischemic stroke, particular in young- and middle-aged adults.

A comparative study of anterior versus posterior circulation cerebral infarctions: Clinical outcomes

Introduction: Due to the lack of comprehensive study about the differences between posterior circulation infarction (PCI) and anterior circulation infarction (ACI), this study is performed to determine the clinical consequences of PCI and ACI. Methods: The required information was retrieved from the Tabriz Stroke Registry. Modified Rankin Score (mRS), National Institutes of Health’s Stroke Scale/Score (NIHSS) for severity, and Acute Stroke Treatment (TOAST) classification for types of ischemic stroke as well as the data regarding the risk factors were considered. Results: 701 eligible patients were included in this study, of which 524 (74.75%) were patients with ACI stroke and 177 (25.24%) with PCI stroke. There was no statistically significant difference in terms of age (P=0.724), sex (P=0.559), and pre-stroke mRS (P=0.279). Cardioembolism (CE), undetermined etiology (ESUS), and large arterial stroke (LAA) showed higher incidence in ACI patients, where lacunar type was more prevalent in PCI patients (P=0.01). Hospital NIHSS were significantly different between ACI and PCI groups (P=0.001). Also, regarding the discharged NIHSS patients, there was a significant difference between the groups (P=0.023). Moderate stroke was prominent in both groups in hospitalized (PCI: 57.6% and ACI: 48.9%) and discharged NIHSS patients (PCI: 38.4% and ACI: 42.4%). Conclusion: ACI is about 3-times more prevalent than PCI. There is no relation between the incidence of ACI or PCI and the stroke risk factors. Three months’ mortality did not significantly differ between PCI and ACI.

Influencing factors of futile recanalization after endovascular therapy in acute ischemic stroke patients with large vessel occlusions

Objective: To analyze the influencing factors of futile recanalization after endovascular therapy (EVT) in acute ischemic stroke patients with large vessel occlusions (AIS-LVO). Methods: AIS-LVO patients who underwent EVT with successful recanalization between January 2019 and December 2021 in Neurovascular Center of Changhai Hospital of Naval Medical University were retrospectively selected. Modified Rankin scale (mRS) score 3 months after EVT was used as the prognostic evaluation index, and patients with mRS scores≤2 were classified as the meaningful recanalization group and mRS scores 3-6 as the futile recanalization group. The risk factors, National Institutes of Health stroke scale (NIHSS) score, Glasgow coma scale (GCS) score, Alberta Stroke Program Early CT (ASPECT) score, core infarct volume, etc. in both groups were analyzed, and the influencing factors of futile recanalization after EVT were analyzed by multivariate logistic regression. Continuous variables that do not conform to the normal distribution are represented by [M(Q1,Q3)]. Results: A total of 368 patients meeting the inclusion criteria were collected, including 228 males and 140 females, and aged 68 (61, 77) years. There are 196 patients and 172 patients in the meaningful recanalization and futile recanalization groups, respectively, with the rate of futile recanalization 3 months after EVT of 46.74% (172/368). Comparing the general information and risk factors between the two groups found that the age of patients in the futile recanalization group [71 (65, 79) years] was higher than that in the meaningful recanalization group [65 (59, 72) years]. The baseline NIHSS score [18 (14, 22)] and the rate of not achieving modified Thrombolysis in Cerebral Ischemia grade 3 (mTICI 3) reperfusion (36.1%) were higher in the futile recanalization group than those in the meaningful recanalization group [12 (7, 17) and 19.9%]. The baseline GCS score [11 (9, 13)] was lower in the futile recanalization group than that in the meaningful recanalization group [14 (11, 15)]. The core infarct volume in the futile recanalization group [28 (7, 65) ml] was larger than that in the meaningful recanalization group [6 (0, 17) ml]. The ASPECT score [7 (5, 9)] was lower in the futile recanalization group than that in the meaningful recanalization group [9 (7, 10)]. In addition, the proportion of hypertension, atrial fibrillation, general anesthesia, and symptomatic intracranial hemorrhage was higher in the futile recanalization group (all P<0.05). The time from symptom onset to puncture and from symptom onset to reperfusion was longer in the futile recanalization group (both P<0.05). There were statistically significant differences in trial of Org 10172 in acute stroke treatment (TOAST) classification and the site of occluded blood vessels between the two groups (both P<0.05). Multivariate logistic regression indicated that age ≥80 years(OR=1.935,95%CI: 1.168-3.205), baseline NIHSS score (OR=1.999,95%CI: 1.202-3.325), GCS score (OR=2.299,95%CI: 1.386-3.814), previous stroke history (OR=1.977,95%CI: 1.085-3.604), general anesthesia (OR=1.981,95%CI: 1.143-3.435), not achieving grade 3 recanalization (OR=2.846, 95%CI: 1.575-5.143), ASPECT score<6 (OR=2.616, 95%CI: 1.168-5.857), and core infarct volume>70 ml (OR=2.712, 95%CI: 1.130-6.505) were risk factors for futile recanalization. Conclusion: Age≥80 years, previous stroke history, baseline NIHSS score≥20, GCS score≤8, general anesthesia, ASPECT score<6, core infarct volume>70 ml, and failure to achieve Grade 3 recanalization are independent influencing factors for futile recanalization after endovascular therapy in AIS-LVO patients.

Development and validation of a nomogram model for predicting unfavorable functional outcomes in ischemic stroke patients after acute phase.

Prediction of post-stroke functional outcome is important for personalized rehabilitation treatment, we aimed to develop an effective nomogram for predicting long-term unfavorable functional outcomes in ischemic stroke patients after acute phase. We retrospectively analyzed clinical data, rehabilitation data, and longitudinal follow-up data from ischemic stroke patients who underwent early rehabilitation at multiple centers in China. An unfavorable functional outcome was defined as a modified Rankin Scale (mRS) score of 3-6 at 90 days after onset. Patients were randomly allocated to either a training or test cohort in a ratio of 4:1. Univariate and multivariate logistic regression analyses were used to identify the predictors for the development of a predictive nomogram. The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive ability in both the training and test cohorts. A total of 856 patients (training cohort: n = 684; test cohort: n = 172) were included in this study. Among them, 518 patients experienced unfavorable outcomes 90 days after ischemic stroke. Trial of ORG 10172 in Acute Stroke Treatment classification (p = 0.024), antihypertensive agents use [odds ratio (OR) = 1.86; p = 0.041], 15-day Barthel Index score (OR = 0.930; p < 0.001) and 15-day mRS score (OR = 13.494; p < 0.001) were selected as predictors for the unfavorable outcome nomogram. The nomogram model showed good predictive performance in both the training (AUC = 0.950) and test cohorts (AUC = 0.942). The constructed nomogram model could be a practical tool for predicting unfavorable functional outcomes in ischemic stroke patients underwent early rehabilitation after acute phase.

A novel etiological classification in patients with intracranial large vessel occlusion and endovascular treatment: discordance with the classic and SSS TOAST systems: A retrospective cohort study

Purpose: Among patients with acute ischemic stroke (AIS), those with intracranial large vessel occlusion (LVO) should undertake endovascular treatment (EVT) based on mechanical thrombectomy. Although the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification system has been used in overall population of patients with AIS, especially for secondary prevention. In the current study, a new classification system for the LVO population is proposed.Methods: The classic TOAST and Stop Stroke Study TOAST (SSS TOAST) were applied to the LVO population. Based on discordance with those systems, a new LVO classification system was developed and applied to the LVO population. The new system comprised extracranial atherosclerosis (ECAS), intracranial atherosclerosis (ICAS), cardioembolism (CE), cryptogenic embolism, stroke of undetermined etiology (SUE; two or more etiologies), and stroke of other determined etiology (SOE) where small artery occlusion was removed.Results: The LVO classification system comprised 43 ECAS (6.52%), 141 ICAS (21.36%), 303 CE (45.91%), 75 cryptogenic embolism (11.36%), 75 SUE (11.36%; cardioembolic source in 98.67%), and 23 SOE (3.48%) patients. The ICAS group had a significantly longer median onset-to-puncture time than the other groups. In the ICAS group, 102 of 141 (72.34%) remained partial recanalization after EVT.Conclusion: The LVO classification system differentiating ECAS and ICAS in patients with large artery atherosclerosis and classifying cryptogenic embolism is more suitable for patients with EVT for intracranial LVO. Further studies for predicting underlying ICAS and planning treatment strategy should be performed.

Increased plasma levels of circPTP4A2 and circTLK2 are associated with stroke injury.

Accumulating studies have shown that circulating circular RNAs (circRNAs) represent novel biomarkers for many human diseases. We investigated whether plasma circPTP4A2 and circTLK2 levels are associated with stroke severity, infarct volume, stroke etiology, and functional outcome in acute ischemic stroke (AIS) patients. We applied quantitative real-time PCR (qPCR) to measure plasma circPTP4A2 and circTLK2 levels of 236 AIS patients within 72 h of symptoms onset and 136 healthy controls. We further assessed the National Institutes of Health Stroke Scale (NIHSS), infarct size, the Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification and the 90-day modified Rankin scale (mRS) for each patient. At admission, plasma circPTP4A2 and circTLK2 levels in patients with moderate to severe stroke were significantly higher compared to those with mild stroke. Logistic regression and receiver-operating characteristic (ROC) curve analyses indicated that they might function as predictive biomarkers for moderate to severe stroke. We also observed a medium positive correlation between these two circRNAs and NIHSS. Plasma circPTP4A2 and circTLK2 levels were slight positively correlated with cerebral infarct volume only in anterior circulation infarction (ACI) patients. Levels of both circPTP4A2 and circTLK2 were closely related with large artery atherosclerosis (LAA) stroke. Moreover, changes within 7 days after admission in circPTP4A2 and circTLK2 were able to predict unfavorable clinical outcome 90 days after AIS. These results demonstrate that plasma circPTP4A2 and circTLK2 strongly correlated with severity, subtypes and prognosis of AIS, and they could serve as promising biomarkers.

The Trial of Org 10172 of Acute Stroke Treatment pada Era Pandemi COVID-19

Background and Objective: The Trial of Org 10172 of Acute Stroke Treatment (TOAST) classification was introduced to classify ischemic stroke based on potential etiological mechanisms. The purpose of this study was to assess the characteristics of acute ischemic stroke patients based on the TOAST classification during the COVID-19 pandemic era. Subject and Methods: This research was a descriptive cross-sectional study from the medical records of acute ischemic stroke patients who were treated in Neurology ward of Hasan Sadikin Hospital in 2021. Results: A total of 136 acute ischemic stroke patients were involved in this study. Large-artery atherosclerosis (LAA) was the most common stroke subtype (30.1%) and hypertension is the most common risk factor (97%). The risk factors for hypercoagulation were found to be 79% in the Undetermined etiology classification and 100% in the Other etiology classification. Conclusion: In the COVID-19 pandemic era, hypercoagulation was found as the dominant risk factor in the Undetermined etiology and Other etiology classifications. The coagulopathy mechanism in COVID-19 could increase the risk of stroke in affected person who have conventional stroke risk factors.

Texture analysis of apparent diffusion coefficient maps in predicting the clinical functional outcomes of acute ischemic stroke.

To investigate texture analysis (TA) based on apparent diffusion coefficient (ADC) map in predicting acute ischemic stroke (AIS) prognosis and discriminating TA features in stroke subtypes. This retrospective study included patients with AIS between January 2018 and April 2021. The patients were assigned to the favorable [modified Rankin Scale (mRS) score ≤ 2] and unfavorable (mRS score > 2) outcome groups. All patients underwent stroke subtyping according to the Trial of Org 10,172 in Acute Stroke Treatment (TOAST) classification. The TA features were extracted from infarction lesions on the ADC map. The demographic characteristics, clinical characteristics, and texture features were used to construct prediction models with recurrent neural network (RNN). The receiver operating characteristic (ROC) curves were implemented to evaluate the performance of the predictive models. A total of 1,003 patients (682 male; mean age 65.90 ± 12.44) with AIS having documented the 90-day mRS score were identified, including 840 with favorable outcomes. In the validation set, the area under the curve (AUC) of the predictive model using only clinical characteristics achieved an AUC of 0.56, texture model 0.77, the model combining both clinical and texture features showed better with an AUC of 0.78. The texture feature profiles differed between large artery atherosclerosis (LAA) and small artery occlusion (SAO) subtypes (all p < 0.05). The AUC of combined prediction models for LAA and SAO subtypes was 0.80 and 0.81. Texture analysis based on ADC map could be useful as an adjunctive tool for predicting ischemic stroke prognosis.

Increased Serum EphrinA1 Is Associated with Parenchymal Hematoma after Ischemic Stroke

Introduction: Previous preclinical studies reported that the level of serum EphrinA1 was associated with blood-brain barrier disruption; however, its role in predicting parenchymal hematoma (PH) after ischemic stroke is underexplored. We aimed to explore the association between the level of serum EphrinA1 and PH in patients with ischemic stroke. Methods: Patients with ischemic stroke after onset from West China Hospital, Sichuan University, were prospectively enrolled between January 2017 and December 2019. The level of serum EphrinA1 at baseline was measured after admission. PH was diagnosed as hematoma within the infarct territory detected on the brain CT/MRI scans within 7 days after onset but not on the initial scan according to European Cooperative Acute Stroke Study (ECASS) III criteria. The association between the level of serum EphrinA1 and PH after ischemic stroke was assessed by multiple logistic regression analysis. Results: A total of 667 patients were included in the final analysis. The mean age was 67.20 ± 14.31 years, and 57.87% (368/667) were males. Of the 667 patients, 65 (9.75%) patients had PH. The median of EphrinA1 on admission was 82.83 ng/mL (IQR, 70.11–93.75 ng/mL). Compared with patients without PH, those with PH had a higher level of serum EphrinA1 (p = 0.024). Patients were divided into 3 categories based on EphrinA1 tertiles (T1, <79.11 ng/mL, n = 223; T2, 79.11–93.75 ng/mL, n = 222; and T3, >93.75 ng/mL, n = 222). After adjusting for age, sex, atrial fibrillation, smoking, statins, antiplatelets, Trail of Org 10172 in Acute Stroke Treatment (TOAST) classification and National Institutes of Health Stroke Scale (NIHSS) score ≥15, patients in the second and third EphrinA1 tertiles showed a significant increase in PH compared with those in the lowest tertile (OR 2.44, 95% CI: 1.10–5.40, p = 0.028; OR 2.61, 95% CI: 1.19–5.74, p = 0.017, respectively). Additionally, adjusting for reperfusion therapy (thrombolysis and/or endovascular therapy), only patients in the highest group (tertile 3) had a significantly higher risk of PH compared to the lowest group (OR 2.30, 95% CI: 1.03–5.13, p = 0.042). Conclusion: Higher serum EphrinA1 is independently associated with a higher risk of PH after ischemic stroke. Future studies with larger sample sizes are needed to validate our findings and elucidate the potential role of EphrinA1 in PH.

Mechanisms of in-hospital acute ischemic stroke and their relevance to prognosis: A retrospective analysis

ObjectivesIn-hospital stroke (IHS) is common and has a poor prognosis. Limited data were about the mechanisms of IHS, posing a challenge in taking measures to prevent stroke during hospitalization. This study aims to investigate the mechanisms of IHS and their relevance to prognosis. Materials and MethodsPatients with in-hospital acute ischemic stroke at Peking Union Medical College Hospital from June 2012 to April 2022 were consecutively enrolled. The Trial of Org 10172 in Acute Stroke Treatment (TOAST) classification of stroke and detailed mechanisms were evaluated by two experienced neurologists. Functional outcome at discharge was evaluated. ResultsA total of 204 IHS patients were included, with a median age of 64 (IQR 52-72) and 61.8% male. The most common mechanism was embolism (57.8%), followed by hypoperfusion (42.2%), hypercoagulation (36.3%), small vessel mechanism (19.1%), discontinuation of antithrombotic drugs (13.2%), and iatrogenic injury (9.8%). Iatrogenic injury (P = 0.001), hypoperfusion (P = 0.006), embolism (P = 0.03), and discontinuation of antithrombotic drugs (P = 0.004) were more common in perioperative stroke compared to non-perioperative stroke. Median NIHSS improvement (2 vs 1, P = 0.002) and median mRS improvement (1 vs 0.5, P = 0.02) at discharge were higher in perioperative patients. Advanced age and higher NIHSS at onset were significantly associated with a poorer prognosis, whereas embolism mechanism was associated with a better prognosis. ConclusionsThe etiologies and mechanisms of IHS are complex. Perioperative and non-perioperative IHS have different mechanisms and prognostic features. Determining the causes and mechanisms of IHS will help to identify the population at risk and prevent stroke appropriately during hospitalization.