Outcome In Acute Ischemic Stroke Research Articles

Prolonged intracranial catheter dwell time exacerbates penumbral stress and worsens stroke thrombectomy outcomes

BackgroundThe duration of mechanical thrombectomy (MT) is a negative predictor of outcomes in acute ischemic stroke (AIS), yet the precise mechanisms are unclear. We investigated whether the placement of large-bore...

Prognostic Value of Red Cell Distribution Width in Outcome of Acute Ischemic Stroke

Background: Red cell distribution width (RDW) is a haematological parameter that indicates the range of sizes of red blood cells. It is now widely acknowledged as a prognostic indicator for ischaemic stroke. Aim and Objective: To Study theprognostic value of red cell distribution width (RDW) in outcome of acute ischemic stroke. Materials and Method: The cross-sectional study was undertaken at Aarupadi Veedu Medical College in Puducherry. It included 61 patients, aged 18-80 years, who were diagnosed with acute ischemic stroke within 48 hours. Clinical assessment of patient by NIHSS Score and measuring the outcome by modified Rankin scale. The study took place in both the Outpatient and Inpatient in Department of General Medicine. Results: The study indicates a notable proportion of male more than female ,older participants (64.0% aged 56 years and above), There is a significant occurrence of hypertension (62.3%) and diabetes mellitus (63.9%) a substantial frequency of individuals who do not smoke (63.9%), and a majority of participants who do not use alcohol (77.0%). Levels of RDW exhibited significant positive relationships with stroke severity. Conclusion: The study highlights the potential of Red Cell Distribution Width (RDW) as a helpful predictive indicator in outcome of ischemic stroke. Increased RDW levels were observed to have a substantial correlate with more severe stroke and disability, as indicated by strong associations with NIHSS and mRS scores. The study emphasizes the usefulness of RDW in assessing the severity of ischaemic stroke and emphasizes the need for additional research to improve its clinical use.

Association between iron content in grey matter nuclei and functional outcome in patients with acute ischaemic stroke: A quantitative susceptibility mapping study.

This study aimed to investigate the association between iron content in grey matter (GM) nuclei and functional outcome in acute ischaemic stroke (AIS) patients utilizing quantitative susceptibility mapping. Forty AIS patients and 40 age-, sex- and education-matched healthy controls underwent quantitative susceptibility mapping to assess susceptibility values, which are positively correlated with iron content, in the caudate nucleus, putamen, globus pallidus, thalamus, red nucleus and substantia nigra. The nuclei on the contralateral side were measured in AIS patients to minimize confounding due to oedema or haemorrhage. Functional outcome was determined by the modified Rankin Scale (mRS) score at 3 months after stroke. Poor outcome was defined as mRS >2, whilst a good outcome was defined as ≤2. Susceptibility values were significantly higher in most contralateral GM nuclei in AIS patients than in the corresponding left or right nuclei in healthy controls. AIS patients with poor outcome showed significantly lower susceptibility value than those with good outcome in the contralateral caudate nucleus, but no significant differences were observed in other GM nuclei. Binary logistic regression analysis revealed a significant association between the susceptibility value of the contralateral caudate nucleus and poor outcome after adjustment for confounders (adjusted odds ratio 0.692, 95% confidence interval 0.486-0.986, p = 0.042). Receiver operating characteristic curve analysis showed an acceptable ability of the susceptibility value of the contralateral caudate nucleus to predict poor outcome (area under the curve 0.740, p = 0.013). Lower iron content in the contralateral caudate nucleus was associated with poor functional outcome in AIS patients.

Bridging the Gap: Improving Acute Ischemic Stroke Outcomes with Intravenous Thrombolysis Prior to Mechanical Thrombectomy.

Current guidelines recommend intravenous thrombolysis (IVT) followed by mechanical thrombectomy (MT) for patients with acute ischemic stroke (AIS) caused by large vessel occlusion (LVO). This combined approach, known as bridging therapy (BT), is believed to increase the likelihood of a favorable functional outcome when administered within 4.5 h of symptom onset. However, the benefits of BT over direct mechanical thrombectomy (d-MT) remain debated. This study aimed to compare the outcomes of AIS-LVO patients undergoing MT within 6 h of symptom onset, with and without prior IVT. Within the prospective Transzlációs Idegtudományi Nemzeti Laboratórium (TINL) STROKE-registry, AIS-LVO patients admitted to the Department of Neurology, University of Pécs between February 2023 and June 2024 were investigated. The primary endpoint was the proportion of patients reaching functional independence at 90 days, defined as a modified Rankin Scale (mRS) score of 0-2. Secondary endpoints included clinical improvement at 72 h (National Institute of Health Stroke Scale [NIHSS] score of ≤1 or a change from baseline [ΔNIHSS] of ≥4) and successful recanalization (modified Thrombolysis in Cerebral Infarction [mTICI] score ≥ 2). Safety outcomes were evaluated based on thrombus migration and intracranial hemorrhage (ICH). Results were compared using linear and logistic regression analyses adjusted for baseline variables. Of 82 patients, 51 (62.2%) received BT, while 31 (37.8%) underwent d-MT. The BT group showed a significantly higher rate of functional independence (45.7% vs. 17.2%, p = 0.014) and a lower 90-day mortality rate (13.7% vs. 35.5%, p = 0.029). Multivariate analysis revealed that IVT was independently associated with favorable functional outcomes (p = 0.011) and reduced mortality (p = 0.021). No significant differences were observed in terms of clinical improvement at 72 h, successful recanalization, thrombus migration, or hemorrhagic transformation between the groups. This study supports current guidelines recommending BT for thrombectomy-eligible AIS-LVO patients, offering new insights into the ongoing clinical debate.

Predicting 3-month poor functional outcomes of acute ischemic stroke in young patients using machine learning

BackgroundPrediction of short-term outcomes in young patients with acute ischemic stroke (AIS) may assist in making therapy decisions. Machine learning (ML) is increasingly used in healthcare due to its high accuracy. This study aims to use a ML-based predictive model for poor 3-month functional outcomes in young AIS patients and to compare the predictive performance of ML models with the logistic regression model.MethodsWe enrolled AIS patients aged between 18 and 50 years from the Third Chinese National Stroke Registry (CNSR-III), collected between 2015 and 2018. A modified Rankin Scale (mRS) ≥ 3 was a poor functional outcome at 3 months. Four ML tree models were developed: The extreme Gradient Boosting (XGBoost), Light Gradient Boosted Machine (lightGBM), Random Forest (RF), and The Gradient Boosting Decision Trees (GBDT), compared with logistic regression. We assess the model performance based on both discrimination and calibration.ResultsA total of 2268 young patients with a mean age of 44.3 ± 5.5 years were included. Among them, (9%) had poor functional outcomes. The mRS at admission, living alone conditions, and high National Institutes of Health Stroke Scale (NIHSS) at discharge remained independent predictors of poor 3-month outcomes. The best AUC in the test group was XGBoost (AUC = 0.801), followed by GBDT, RF, and lightGBM (AUCs of 0.795, 0, 794, and 0.792, respectively). The XGBoost, RF, and lightGBM models were significantly better than logistic regression (P < 0.05).ConclusionsML outperformed logistic regression, where XGBoost the boost was the best model for predicting poor functional outcomes in young AIS patients. It is important to consider living alone conditions with high severity scores to improve stroke prognosis.

Improving Stroke Outcome Prediction Using Molecular and Machine Learning Approaches in Large Vessel Occlusion.

Introduction: Predicting stroke outcomes in acute ischemic stroke (AIS) can be challenging, especially for patients with large vessel occlusion (LVO). Available tools such as infarct volume and the National Institute of Health Stroke Scale (NIHSS) have shown limited accuracy in predicting outcomes for this specific patient population. The present study aimed to confirm whether sudden metabolic changes due to blood-brain barrier (BBB) disruption during LVO reflect differences in circulating metabolites and RNA between small and large core strokes. The second objective was to evaluate whether integrating molecular markers with existing neurological and imaging tools can enhance outcome predictions in LVO strokes. Methods: The infarction volume in patients was measured using magnetic resonance diffusion-weighted images, and the 90-day stroke outcome was defined by a modified Rankin Scale (mRS). Differential expression patterns of miRNAs were identified by RNA sequencing of serum-driven exosomes. Nuclear magnetic resonance (NMR) spectroscopy was used to identify metabolites associated with AIS with small and large infarctions. Results: We identified 41 miRNAs and 11 metabolites to be significantly associated with infarct volume in a multivariate regression analysis after adjusting for the confounders. Eight miRNAs and ketone bodies correlated significantly with infarct volume, NIHSS (severity), and mRS (outcome). Through integrative analysis of clinical, radiological, and omics data using machine learning, our study identified 11 top features for predicting stroke outcomes with an accuracy of 0.81 and AUC of 0.91. Conclusions: Our study provides a future framework for advancing stroke therapeutics by incorporating molecular markers into the existing neurological and imaging tools to improve predictive efficacy and enhance patient outcomes.

Value of plasma alpha- and beta-synuclein levels in the diagnosis, severity, and functional outcome of acute ischemic stroke

Abstract OBJECTIVE: We aimed to determine the role of plasma alpha- and beta-synuclein levels and other routine inflammatory parameters in the diagnosis, outcome, and mortality of acute ischemic stroke (AIS). METHODS: In our study, serum alpha- and beta-synuclein levels and clinical data were prospectively evaluated in 93 subjects (43 controls and 50 AIS patients) admitted to the emergency department. The outcome status and prognostic classification were performed according to the modified Rankin Scale (mRS) scores on the 30th day from hospital admission. RESULTS: The mean age of the subjects was 70.6 ± 11 years. Thirty-eight percentage were female. Plasma α-synuclein levels in the AIS group (33.6 ± 8.5 ng/mL) were significantly higher than those in the control group (4.22 ± 2.1 ng/mL) (P &lt; 0.001). Plasma β-synuclein levels in the AIS group (13.07 ± 2.7 ng/mL) were significantly higher than those in the control group (2.17 ± 1.4 ng/mL) (P &lt; 0.001). There was no significant difference in alpha- and beta-synuclein levels between the subgroups formed according to the 30th-day results of the patients using the mRS scores (P = 0.813 and 0.812, respectively). CONCLUSION: The serum alpha- and beta-synuclein concentrations of patients with AIS at admission were significantly higher than the healthy control group. At admission, serum alpha- and beta-synuclein levels do not have definitive clinically predictive value in predicting stroke progression and outcome in patients with AIS.

Association Between Blood-Brain Barrier Disruption and Stroke-Associated Pneumonia in Acute Ischemic Stroke Patients After Endovascular Therapy: A Retrospective Cohort Study.

Stroke, particularly due to large vessel occlusion (LVO), is a major cause of mortality and disability globally. Endovascular therapy (ET) significantly improves outcomes for acute ischemic stroke (AIS) patients, but complications such as stroke-associated pneumonia (SAP) increase mortality and healthcare costs. This study investigates the association between blood-brain barrier (BBB) disruption and the increased risk of SAP and explores the relationship between BBB disruption and medium-term functional outcomes. The retrospective cohort study was performed on AIS patients enrolled between January 2019 to February 2023 who underwent ET. Patients were divided into two groups: BBB disruption and without BBB disruption. Multiple logistic regression model was conducted to measure the association between BBB disruption and SAP. Mediation analysis was used to estimate the potential mediation effects on the associations of BBB disruption with SAP. A restricted cubic spline (RCS) regression model was used to further outline the connection between the highest CT value of hyperattenuated lesions areas and the risk of SAP. The study included 254 patients who underwent endovascular therapy, with 155 patients in the BBB disruption group (exposure) and 99 patients in the without BBB disruption group (control). Multiple logistic regression analysis revealed a significantly increased risk of SAP in patients with BBB disruption (OR = 2.337, 95% CI: 1.118-4.990, p = 0.025). Furthermore, mediation analysis suggested that this association may be partly due to malignant cerebral oedema and haemorrhagic transformation. The study found an inverse L-shaped dose-response relationship between the maximum CT values of BBB disruption areas and the incidence of SAP. SAP partially mediated the association between BBB disruption and 3-month poor functional outcome. BBB disruption are a potential risk factor for SAP. BBB disruption may affect short- and medium-term prognosis of patients after ET in part through SAP.

The impact of forest therapy on functional recovery after acute ischemic stroke

Stroke is a leading cause of disability worldwide, with a growing need for effective rehabilitation strategies. Forest therapy, involving structured activities in natural environments, has shown significant beneficial effects in various health-related outcomes but no studies have assessed its direct effect on functional recovery after acute ischemic stroke. We assessed whether forest therapy is effective in recovering functional outcome of acute ischemic stroke compared to conventional rehabilitation therapy. This prospective cohort study included patients with acute ischemic stroke admitted within 24 hours of symptom onset. Participants were randomized into forest therapy (n=15) and control (n=27) groups. The forest therapy group underwent five sessions of guided activities in a national forest center, while the control group received standard outpatient rehabilitation. Primary outcome was changes in the modified Rankin Scale (mRS) scores, with secondary outcomes including grip strength, body composition, and psychological well-being assessed using the Worker's Stress Response Inventory and the Positive and Negative Affect Schedule from the time of hospital discharge to 3 months after stroke onset. Change of mRS were analyzed using the generalized estimating equation to compare changes over time between the two groups. At three-month follow-up, the forest therapy group demonstrated a significant improvement in mRS scores compared to the control group (p=0.034). Although no significant differences were found in grip strength or body composition, reductions in somatization and job-related stress were observed in the forest therapy group. No significant changes in positive or negative affect were detected. Forest therapy can contribute to functional recovery and reduce stress-related indicators in acute ischemic stroke patients. These findings support that the integration of forest therapy into stroke rehabilitation protocols to address both physical and psychological aspects of recovery, highlighting the potential for multidisciplinary approaches in post-stroke care.

Deep Learning to Predict Functional Outcome in Acute Ischemic Stroke.

Deep Learning to Predict Functional Outcome in Acute Ischemic Stroke.

Identification of biomarkers and construction of a clinical-radiomics model for predicting functional outcome in acute ischemic stroke.

Identification of biomarkers and construction of a clinical-radiomics model for predicting functional outcome in acute ischemic stroke.

Association of primary and secondary hemostasis biomarkers with acute ischemic stroke outcome in patients undergoing thrombectomy, with or without thrombolytics: post hoc analysis of the MR CLEAN-NOIV randomized clinical trial

BackgroundIntravenous thrombolysis (IVT) using recombinant tissue plasminogen activator prior to endovascular thrombectomy treatment (EVT) failed to improve treatment effect in acute ischemic stroke (AIS) patients compared with EVT alone. ObjectivesWe investigated whether primary and secondary hemostasis biomarkers are associated with the effect of intravenous thrombolytics on clinical and radiological outcomes after EVT. MethodsIn the MR CLEAN-NOIV study, AIS patients were randomized to receive IVT plus EVT or EVT alone. We measured hemostatic biomarkers before and 24 hours postreperfusion to determine changes in biomarkers and the association of the biomarkers with short-time stroke severity National Institutes of Health Stroke Scale score, long-term functional outcome (modified Rankin scale [mRS] score), post-EVT extended Thrombolysis in Cerebral Infarction score, and final infarct size. ResultsThis substudy included 214 of the 539 AIS patients who underwent IVT + EVT (n = 108/266) or EVT alone (n = 106/273). In the EVT group, low soluble glycoprotein VI (sGPVI) and high factor (F)VIII levels before treatment were associated with severe National Institutes of Health Stroke Scale score at 24 hours and poor mRS score at 90 days posttreatment, respectively. Also, in this group, sGPVI levels 24 hours after treatment were negatively associated with final infarct size. In the IVT + EVT group, high fibrinogen before treatment was associated with good extended Thrombolysis in Cerebral Infarction score, and low a disintegrin and metalloprotease with thrombospondin motif repeats 13 activity 24 hours posttreatment was associated with an unfavorable mRS score at 90 days. ConclusionOur findings suggest that patients with high FVIII and fibrinogen and low sGPVI levels might be the most suitable candidates for IVT + EVT and that patients with low a disintegrin and metalloprotease with thrombospondin motif repeats 13 activity might be suitable for EVT alone.

Evaluation of Neutrophil to Lymphocyte Ratio with Neurological Severity and Short-Term Outcome in Acute Ischemic Stroke

Introduction: Stroke represents a significant global health care challenge, ranking as the second most common cause of mortality and disability worldwide. Inflammatory process plays an important role in pathophysiology of acute ischemic stroke. These inflammatory responses increase the brain damage and cause neurological deterioration. Neutrophils and lymphocytes serve as pivotal mediators of inflammatory response. Aims and Objectives: This study aims to evaluate the association between the Neutrophils to lymphocyte ratio (NLR) with the initial severity of stroke and the short-term functional outcome using the NIHSS and BARTHEL index respectively. Materials and Methods: We conducted an observational cross-sectional study on 80 patients admitted at Father Muller Medical College Hospital, which is a tertiary care centre in Mangalore between May 2023 to April 2024. Diagnosis of stroke was based on clinical evaluation and Radiological imaging. Peripheral blood samples were collected for complete blood count within 24 hours of stroke onset. The NLR was determined by dividing the absolute neutrophil count (ANC) to the absolute lymphocyte count (ALC). This was then correlated with the NIHSS and the BARTHEL index. Results: This study included 80 patients, with the mean age of 65.1 years. Majority of the patients were in the age group 51-70years (55%). The mean NLR was found to be 13.39. The mean NIHSS and BARTHEL index was 11.08 and 63.69 respectively. The NLR showed significant correlation with the initial stroke severity and the short-term functional outcomes. For the purpose of correlation NLR was divided into three groups i.e. &gt;3, 3-5 and &gt;5. Patients with higher NLR (&gt;5) were more likely to have a severe stroke and greater dependency. Conversely, those with lower NLR (&lt;3) had a minor stroke and slight dependency. 80% of the patients with severe stroke had a NLR above 5, while 82% of the patients with minor stroke had a NLR below 3 (p value &lt;0.001). This study also found a strong correlation between NIHSS and the BARTHEL index - patients with lower NIHSS and NLR were found to have a better short term function outcome. Conclusion: NLR was found to be significantly associated with the initial severity of stroke and the shortterm functional outcome. Because of its high specificity, low cost, routine use NLR can be used for the prediction of severity of stroke and patients can be prioritised for specialised treatment thus reducing the mortality rates.

Predicting 6-month modified Rankin Scale score in stroke patients

The study aimed to identify predictors of 6-month outcomes in acute ischemic stroke (AIS) patients using the modified Rankin Scale (mRS). A prospective observational cohort study was conducted on 277 AIS patients admitted to the Neurology Departments of Cluj-Napoca Emergency County Clinical Hospital between December 2020 and July 2021. After excluding those lost to follow-up or who withdrew due to COVID-19 concerns, 121 patients were followed for six months. Data collected included demographic details, clinical assessments (including NIHSS and mRS scores), laboratory tests, and imaging results. The study found significant differences between patients with mild/moderate disability (mRS 0-3) and those with severe disability (mRS 4-5) at six months. Age, heart failure, NIHSS score, resistin levels, C-reactive protein, and lesion volume were significantly associated with worse outcomes. Multivariate logistic regression revealed that heart failure was an independent predictor of severe disability, increasing the risk by over seven times. Specific clinical and biochemical markers at admission may be able to predict long-term functional outcomes in AIS patients, which may inform individualized patient management and rehabilitation strategies.

Advanced vascular aging and outcomes after acute ischemic stroke: a systematic review and meta-analysis.

Pulse wave velocity (PWV) is as a reliable marker of arterial stiffness and vascular aging, surpassing traditional risk factors in predicting detrimental cardiovascular events. The present meta-analysis aims to investigate PWV thresholds and assess its prognostic value in outcomes of acute ischemic stroke (AIS). A search was conducted in PubMed, Cochrane, Web of Science, and Scopus for studies published up to January 2024, focusing on patients admitted with AIS, wherein arterial stiffness was assessed through PWV measurements during hospitalization. Identified studies reported PWV values in individuals with both favorable and unfavorable outcomes at the end of follow-up. Initially, 35 eligible studies provided data for weighted mean baPWV (11,953 AIS patients) and cfPWV (2,197 AIS patients) calculations. The average age was 67 years, with approximately 60% male, 67% hypertensive, 30% diabetic and 30% smoker participants. The weighted mean systolic blood pressure was approximately 150 mmHg. In AIS patients, the mean PWV was 10 m/s for standard cfPWV and 20 m/s for baPWV. Nine cohort studies (6,006 AIS patients) were included in the quantitative analysis of clinical outcomes. Higher PWV levels were associated with poorer functional outcomes (2.3 m/s higher, 95%CI:1.2-3.4, p < 0.001; I2 = 87.4%). AIS patients with arterial stiffness/vascular aging (higher PWV) had approximately 46.2% increased risk of poor functional outcome, 12.7% higher risk of mortality, 13.9% greater risk of major adverse cardiovascular events, and 13.9% greater risk of stroke recurrence over the long term compared to those without arterial stiffness. Advanced vascular aging, as indicated by PWV, significantly predicts adverse outcomes in AIS patients. Integrating the assessment of vascular aging into clinical practice can improve risk perception in these patients.

Some minutes matter more: Groin-to-recanalization is the main time-related predictor of outcome in acute ischemic stroke.

Endovascular thrombectomy (EVT) is the standard of care for selected patients with acute ischemic stroke (AIS) and large vessel occlusion (LVO), associated with intravenous thrombolysis, when indicated. While many studies focused on pre-hospital and in-hospital pathways, only few analyzed the relationship between groin-to-recanalization (GTR) time and functional outcome. To explore whether GTR time is an independent predictor of outcome in patients undergoing EVT. All patients with anterior circulation stroke treated with EVT at a high-volume center from January 2021 to December 2023 were included. The cohort was divided into two groups according to GTR time shorter or longer than 30 min. Regression analysis assessed the association between GTR time and 3-month good outcome, defined as modified Rankin Scale 0-2. The study included 419 patients. The groups had similar baseline characteristics and similar onset to recanalization (OTR) time. Regression analysis showed shorter GTR time is an independent predictor of favorable outcome (OR 2.49 [95% CI 1.26-4.94]). Age, baseline NIHSS, ASPECT score and bridging IVT were also found to be independently associated with outcome. Our study showed GTR time is an independent predictor of good outcome in patients undergoing EVT with similar OTR time, emphasizing procedural time as a key prognostic factor, even greater than other well-known pre-hospital and in-hospital time-dependent variables. These findings may raise the issue of developing alternative approaches or early "rescue" strategies for complicated procedures.

Platelet-to-neutrophil ratio predicts hemorrhagic transformation and unfavorable outcomes in acute ischemic stroke with intravenous thrombolysis.

Acute ischemic stroke (AIS) retains a notable stance in global disease burden, with thrombolysis via recombinant tissue plasminogen activator (rtPA) serving as a viable management approach, albeit with variable outcomes and the potential for complications like hemorrhagic transformation (HT). The platelet-to-neutrophil ratio (P/NR) has been considered for its potential prognostic value in AIS, yet its capacity to predict outcomes following rtPA administration demands further exploration. To elucidate the prognostic utility of P/NR in predicting HT and clinical outcomes following intravenous rtPA administration in AIS patients. Data from 418 AIS patients treated with intravenous rtPA at Thammasat University Hospital from January 2018 to June 2021 were retrospectively analyzed. The relationship between P/NR and clinical outcomes [early neurological deterioration (E-ND), HT, delayed ND (D-ND), and 3-mo outcomes] was scrutinized. Notable variables, such as age, diabetes, and stroke history, exhibited statistical disparities when comparing patients with and without E-ND, HT, D-ND, and 3-mo outcomes. P/NR prognostication revealed an optimal cutoff of 43.4 with a 60.3% sensitivity and a 52.5% specificity for 90-d outcomes. P/NR prognostic accuracy was statistically significant for 90-d outcomes [area under the curve (AUC) = 0.562], D-ND (AUC = 0.584), and HT (AUC = 0.607). P/NR demonstrated an association with adverse 3-mo clinical outcomes, HT, and D-ND in AIS patients post-rtPA administration, indicating its potential as a predictive tool for complications and prognoses. This infers that a diminished P/NR may serve as a novel prognostic indicator, assisting clinicians in identifying AIS patients at elevated risk for unfavorable outcomes following rtPA therapy.

Influence of Socioeconomic Status on Patients' Choice of Thrombolytic Agent and its Outcome in Acute Ischemic Stroke.

Alteplase, a recombinant tissue-type plasminogen activator (rtPA) is the only FDA-approved thrombolytic drug in acute ischemic stroke (AIS). Tenecteplase is a modified rtPA, which is cheaper. We aimed to study influence of socioeconomic status (SES) in patients' preference of thrombolytic agent and its outcome. This prospective observational study conducted in PGIMER, a tertiary care center in India, recruited AIS patients thrombolyzed between July 2017 and September 2018. We studied variables including SES, thrombolytic agent chosen, and outcomes like National Institutes of Health Stroke Scale (NIHSS) scores at 24-h and at discharge; and modified Rankin Scale (mRS) after 3 months. Thirty-nine patients received tenecteplase and 39 patients received alteplase. Seven patients belonged to upper class, all of whom (100%) chose alteplase. Thirty patients belonged to upper middle class, of whom 25 (83.3%) and five (16.7%) patients chose alteplase and tenecteplase, respectively. Twenty-five patients belonged to lower middle class in which seven (28%) and 15 (72%) chose alteplase and Tenecteplase, respectively. Twenty patients were in upper lower class, of whom 4 (20%) and 16 (80%) chose alteplase and Tenecteplase, respectively. The difference in distribution of SES in tenecteplase and alteplase groups was significant (P = 0.000). Median 3 month-mRS scores were 3 and 3.5 in alteplase and tenecteplase groups, respectively (P = 0.608). There were no significant differences in NIHSS score improvement at 24 h postthrombolysis (P = 0.537) or at discharge (P = 0.429) among different SES categories. No correlation between SES and 3 month-mRS score was found (Spearman's ρ = 0.101, P = 0.398). Majority of patients in upper and lower SES chose alteplase and Tenecteplase, respectively. However, there were no significant differences in outcomes among various SES categories.

Plasma Brain-Derived Tau in Prognosis of Large Vessel Occlusion Ischemic Stroke.

Large vessel occlusion acute ischemic stroke prognosis improved following the 2015 endovascular therapy (EVT) trials. Blood-based biomarkers may improve outcome prediction. We aimed to assess plasma brain-derived tau (BD-Tau) performance in predicting post-EVT large vessel occlusion acute ischemic stroke outcomes. We included 2 temporally independent prospective cohorts of anterior circulation in patients with large vessel occlusion acute ischemic stroke who successfully recanalized post-EVT. We measured plasma BD-Tau, GFAP (glial-fibrillary-acidic-protein), NfL (neurofilament-light-chain), and total-Tau upon admission, immediately, 24 hours, and 72 hours post-EVT. Twenty-four-hour neuroimaging and 90-day functional outcomes were independently assessed using the Alberta Stroke Program Early Computed Tomography Score (good outcome: >7 or unchanged) and the modified Rankin Scale (favorable outcome <3 or unchanged), respectively. Based on the first cohort (derivation), we built a multivariable logistic regression model to predict a 90-day functional outcome. Model results were evaluated using the second cohort (evaluation). In the derivation cohort (n=78, mean age=72.9 years, 50% women), 62% of patients had a good 24-hour neuroimaging outcome, and 45% had a favorable 90-day functional outcome. GFAP admission-to-EVT rate-of-change was the best predictor for early neuroimaging outcome but not for 90-day functional outcome. At admission, BD-Tau levels presented the highest discriminative performance for 90-day functional outcomes (area under the curve, 0.76 [95% CI, 0.65-0.87]; P<0.001). The model incorporating age, admission BD-Tau, and 24-hour Alberta Stroke Program Early Computed Tomography Score achieved excellent discrimination of 90-day functional outcome (area under the curve, 0.89 [95% CI, 0.82-0.97]; P<0.001). The score's predictive performance was maintained in the evaluation cohort (n=66; area under the curve, 0.82 [95% CI, 0.71-0.92]; P<0.001). Admission plasma BD-Tau accurately predicted 90-day functional outcomes in patients with large vessel occlusion acute ischemic stroke after successful EVT. The proposed model may predict functional outcomes using objective measures, minimizing human-related biases and serving as a simplified prognostic tool for AIS.

Correlation of Hemoglobin, Albumin, Lymphocyte, and Platelets (HALP) Score With Outcome of Acute Ischemic Stroke.

Acute ischemic stroke (AIS) stands as a primary cause of both mortality and enduring disability. Given its significant impact on public health, efforts are ongoing to improve prognostic instruments and treatment approaches for this illness. In recent years, attention has been drawn towards the exploration of novel indicators of hemoglobin, albumin, lymphocyte, and platelets (HALP) that measure systemic inflammation and nutritional status. This study aims to investigate the relationship between the HALP score and the outcome of an acute ischemic stroke. This prospective observational study was conducted at a tertiary care hospital, with approval from the Institutional Ethical Committee. A total of 100 AIS patients were enrolled in the study, and their demographic details were collected. Within 24 hours of stroke onset, laboratory tests were performed, including measurements of albumin, hemoglobin, lymphocytes, and platelet count. The HALP scores of these patients were recorded. The severity of AIS was assessed using the National Institutes of Health Stroke Scale (NIHSS) upon admission. This study comprised 100 patients, with 66% and 44% being male and female, respectively, with a standard deviation of age 63. Following 28 days of in-hospital care and a 90-day outpatient follow-up, 16 patients were categorized as the non-survival group. The results showed a significant difference in hemoglobin values in the admitted groups (p = 0.04). Lymphocyte counts were higher in survivors compared to non-survivors with non-significant (p = 0.105). Furthermore, the HALP score of survivors is (a median of 34.0) and for non-survivors is (a median of 24.0), which showed a significant difference with a p-value of 0.022 and is statistically significant. Conclusion: Lower HALP score is associated with increased mortality in stroke patients. The HALP score emerges as a potentially valuable predictor of mortality in critically ill patients. This underscores the importance of considering the HALP score in prognostic assessments and treatment decisions for individuals affected by stroke.