Outcome Of Ischemic Stroke Research Articles

Neuroimaging and Neurological Outcomes in Perinatal Arterial Ischemic Stroke: A Systematic Review and Meta-Analysis

BackgroundPrediction of outcomes in perinatal arterial ischemic stroke (PAIS) is challenging. We performed a systematic review and meta-analysis to determine whether infarct characteristics can predict outcomes in PAIS. MethodsA systematic search was conducted using five databases in January 2023. Studies were included if the sample included children with neonatal or presumed PAIS; if infarct size, location, or laterality was indicated; and if at least one motor, cognitive, or language outcome was reported. The level of evidence and risk of bias were evaluated using the Risk of Bias in Non-Randomized Studies of Interventions tool. Meta-analyses were conducted comparing infarct size or location with neurological outcomes when at least three studies could be analyzed. ResultsEighteen full-text articles were included in a systematic review with nine included in meta-analysis. Meta-analyses revealed that small strokes were associated with a lower risk of cerebral palsy/hemiplegia compared with large strokes (risk ratio [RR] = 0.263, P = 0.001) and a lower risk of epilepsy (RR = 0.182, P < 0.001). Middle cerebral artery (MCA) infarcts were not associated with a significantly different risk of cerebral palsy/hemiplegia compared with non-MCA strokes (RR = 1.220, P = 0.337). Bilateral infarcts were associated with a 48% risk of cerebral palsy/hemiplegia, a 26% risk of epilepsy, and a 58% risk of cognitive impairment. ConclusionsLarger stroke size was associated with worse outcomes across multiple domains. Widely heterogeneous reporting of infarct characteristics and outcomes limits the comparison of studies and the analysis of outcomes. More consistent reporting of infarct characteristics and outcomes will be important to advance research in this field.

SLC15A3 is transcriptionally regulated by HIF1α and p65 to worsen neuroinflammation in experimental ischemic stroke.

Systemic inflammatory stimulus is a risk factor for the incidence of ischemic stroke and contributes to poorer clinical outcomes. Solute carrier 15A3 (SLC15A3) is a peptide/histidine transporter that is implicated in regulating inflammatory responses. However, whether SLC15A3 affects the progression of ischemic stroke associated with systemic inflammation is unclear. The transient middle cerebral artery occlusion (tMCAO) mice with LPS administration (LPS/tMCAO) were prepared as an in vivo model, and LPS-induced BV2 cells under oxygen-glucose deprivation (OGD) exposure were utilized as an in vitro model. We found that SLC15A3 was highly expressed in the ischemic penumbra of LPS/tMCAO mice, and its inhibition reduced infarct area, attenuated neurological deficit, recovered motor function, and mitigated apoptotic neurons. Knockdown of SLC15A3 suppressed the proinflammatory M1-type markers and promoted the levels of M2-associated genes. The in vitro results confirmed that SLC15A3 overexpression promoted microglia polarizing towards M1 subtypes, while SLC15A3 inhibition exerted an opposite effect. In addition, we demonstrated that the p65 signaling pathway and HIF1α were activated by LPS/OGD. Luciferase reporter assay showed that inhibiting p65 using its specific inhibitor BAY 11-7082 or silencing HIF1α using siRNAs reduced the transcriptional activity of SLC15A3in LPS/OGD-induced BV2 cells. Results in NIH 3T3 cells also confirmed that p65 and HIF1α directly bound to the SLC15A3 promoter to activate SLC15A3 transcription. In conclusion, this work shows that SLC15A3, transcriptionally activated by p65 and HIF1α, contributes to poor outcomes in ischemic stroke associated with systemic inflammation by promoting microglial cells polarizing towards M1 types.

Ischemic Stroke Outcome Predicted by Serum Albumin Levels

Ischemic Stroke Outcome Predicted by Serum Albumin Levels

Silent Brain Infarction; Risk Factors and Effect on Outcome of Acute Ischemic Stroke

Silent Brain Infarction; Risk Factors and Effect on Outcome of Acute Ischemic Stroke

Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies.

Acute ischemic stroke (AIS) outcome prognostication remains challenging despite available prognostic models. We investigated whether a biomarker panel improves the predictive performance of established prognostic scores. We investigated the improvement in discrimination, calibration, and overall performance by adding five biomarkers (procalcitonin, copeptin, cortisol, mid-regional pro-atrial natriuretic peptide (MR-proANP), and N-terminal pro-B-type natriuretic peptide (NT-proBNP)) to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) and age/NIHSS scores using data from two prospective cohort studies (SICFAIL, PREDICT) and one clinical trial (STRAWINSKI). Poor outcome was defined as mRS > 2 at 12 (SICFAIL, derivation dataset) or 3 months (PREDICT/STRAWINSKI, pooled external validation dataset). Among 412 SICFAIL participants (median age 70 years, quartiles 59-78; 63% male; median NIHSS score 3, quartiles 1-5), 29% had a poor outcome. Area under the curve of the ASTRAL and age/NIHSS were 0.76 (95% CI 0.71-0.81) and 0.77 (95% CI 0.73-0.82), respectively. Copeptin (0.79, 95% CI 0.74-0.84), NT-proBNP (0.80, 95% CI 0.76-0.84), and MR-proANP (0.79, 95% CI 0.75-0.84) significantly improved ASTRAL score's discrimination, calibration, and overall performance. Copeptin improved age/NIHSS model's discrimination, copeptin, MR-proANP, and NT-proBNP improved its calibration and overall performance. In the validation dataset (450 patients, median age 73 years, quartiles 66-81; 54% men; median NIHSS score 8, quartiles 3-14), copeptin was independently associated with various definitions of poor outcome and also mortality. Copeptin did not increase model's discrimination but it did improve calibration and overall model performance. Copeptin, NT-proBNP, and MR-proANP improved modest but consistently the predictive performance of established prognostic scores in patients with mild AIS. Copeptin was most consistently associated with poor outcome in patients with moderate to severe AIS, although its added prognostic value was less obvious.

Ischemic stroke outcome after promoting CD4+CD25+ Treg cell migration through CCR4 overexpression in a tMCAO animal model

The importance of neuroinflammation during the ischemic stroke has been extensively studied. The role of CD4+CD25+ regulatory T (Treg) cells during the recovery phase have shown infarct size reduction and functional improvement, possibly through the mitigation of inflammatory immune responses. We aimed to investigate the molecular factors involved in microglia-Treg cell communication that result in Treg trafficking. First, we observed the migration patterns of CD8+ (cytotoxic) T cells and Treg cells and then searched for chemokines released by activated microglia in an oxygen–glucose deprivation (OGD) model. The transwell migration assay showed increased migration into OGD media for both cell types, in agreement with the increase in chemokines involved in immune cell trafficking from the mouse chemokine profiling array. MSCV retrovirus was transduced to overexpress CCR4 in Treg cells. CCR4-overexpressed Treg cells were injected into the mouse transient middle cerebral artery occlusion (tMCAO) model to evaluate the therapeutic potential via the tetrazolium chloride (TTC) assay and behavioral tests. A general improvement in the prognosis of animals after tMCAO was observed. Our results suggest the increased mobility of CCR4-overexpressed Treg cells in response to microglia-derived chemokines in vitro and the therapeutic potential of Treg cells with increased mobility in cellular therapy.

Association between gut microbiota dysbiosis and poor functional outcomes in acute ischemic stroke patients with COVID-19 infection.

Acute ischemic stroke (AIS) patients with active COVID-19 infection often have more severe symptoms and worse recovery. COVID-19 infection can cause gut microbiota dysbiosis, which is also a risk factor for poor outcomes in AIS patients. However, the association between gut microbiota and functional outcomes among AIS patients with COVID-19 infection has not been fully clarified yet. In this study, we performed 16S rRNA gene sequencing to characterize the gut microbial community among AIS patients with acute COVID-19 infection, AIS patients with post-acute COVID-19 infection, and AIS patients without COVID-19 infection. We found that AIS patients with acute COVID-19 experienced poorer recovery and significant gut dysbiosis, characterized by higher levels of Enterobacteriaceae and lower levels of Ruminococcaceae and Lachnospiraceae. Furthermore, a shorter time window (less than 28 days) between COVID-19 infection and stroke was identified as a risk factor for poor functional outcomes in AIS patients with COVID-19, and the enrichment of Enterobacteriaceae was indicated as a mediator in the relationship between infection time window and poor stroke outcomes. Our findings highlight the importance of early intervention after COVID-19 infection, especially by regulating the gut microbiota, which plays a role in the prognosis of AIS patients with COVID-19 infection.IMPORTANCEThe gut microbiota plays an important role in the association between respiratory system and cerebrovascular system through the gut-lung axis and gut-brain axis. However, the specific connection between gut bacteria and the functional outcomes of acute ischemic stroke (AIS) patients with COVID-19 is not fully understood yet. In our study, we observed a significant decrease in bacterial diversity and shifts in the abundance of key bacterial families in AIS patients with acute COVID-19 infection. Furthermore, we identified that the time window was a critical influence factor for stroke outcomes, and the enrichment of Enterobacteriaceae acted as a mediator in the relationship between the infection time window and poor stroke outcomes. Our research provides a new perspective on the complex interplay among AIS, COVID-19 infection, and gut microbiota dysbiosis. Moreover, recognizing Enterobacteriaceae as a potential mediator of poor stroke prognosis offers a novel avenue for future exploration and therapeutic interventions.

A clinical and computed tomography-based nomogram to predict the outcome in patients with anterior circulation large vessel occlusion after endovascular mechanical thrombectomy.

To explore the positive predictors of the clinical outcome in acute ischemic stroke (AIS) patients with anterior circulation large vessel occlusion (ACLVO) after endovascular mechanical thrombectomy (EMT) at a 90-day follow-up, and to establish a nomogram model to predict the clinical outcome. AIS patients with ACLVO detected by multimodal Computed Tomography imaging who underwent EMT were collected. Patients were divided into the favorable and the unfavorable groups according to the 90-day modified Rankin Scale (mRS) score. Univariate and multivariate analyses were performed to investigate predictors of the favorable outcome (mRS of 0-2). A nomogram model for predicting the clinical outcome after EMT was drawn, and the receiver operating characteristic (ROC) curve was used to evaluate its predictive value. Totally 105 patients including 65 patients in the favorable group and 40 in the unfavorable group were enrolled. Multivariate logistic regression analysis showed that admission National Institute of Health Stroke scale (NIHSS) score [0.858 (95% CI 0.778-0.947)], ACLVO at M2 [20.023 (95% CI 2.204-181.907)] and infarct core (IC) volume [0.943 (95% CI 0.917-0.969)] was positively correlated with favorable outcome. The accuracy of the nomogram model in predicting the outcome was 0.923 (95% CI 0.870-0.976), with a cutoff value of 119.6 points. The area under the ROC curve was 0.848 (95% CI 0.780-0.917; sensitivity, 79.7%; specificity, 90.0%). A low Admission NIHSS score, ACLVO at M2, and a small IC volume were positive predictors for favorable outcome. The nomogram model may well predict the outcome in AIS patients with ACLVO after EMT.

Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network.

This study proposed an outcome prediction method to improve the accuracy and efficacy of ischemic stroke outcome prediction based on the diversity of whole brain features, without using basic information about patients and image features in lesions. In this study, we directly extracted dynamic radiomics features (DRFs) from dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and further extracted static radiomics features (SRFs) and static encoding features (SEFs) from the minimum intensity projection (MinIP) map, which was generated from the time dimension of DSC-PWI images. After selecting whole brain features Ffuse from the combinations of DRFs, SRFs, and SEFs by the Lasso algorithm, various machine and deep learning models were used to evaluate the role of Ffuse in predicting stroke outcomes. The experimental results show that the feature Ffuse generated from DRFs, SRFs, and SEFs (Resnet 18) outperformed other single and combination features and achieved the best mean score of 0.971 both on machine learning models and deep learning models and the 95% CI were (0.703, 0.877) and (0.92, 0.983), respectively. Besides, the deep learning models generally performed better than the machine learning models. The method used in our study can achieve an accurate assessment of stroke outcomes without segmentation of ischemic lesions, which is of great significance for rapid, efficient, and accurate clinical stroke treatment.

PERIPHERAL ARTERIAL STIFFNESS PREDICTS INDEPENDENTLY FUNCTIONAL OUTCOME AFTER ISCHEMIC STROKE

Objective: Aortic stiffness is a strong predictor of morbidity in various clinical conditions, including ischemic stroke. However, the prognostic significance of the peripheral arterial stiffness, defined as radial -carotid pulse wave velocity - for functional outcome in ischemic stroke remains unknown. Design and method: We enrolled 189 patients (126 males, age 62.9±11.9 years, mean±SD) with acute ischemic stroke (NIHSS score at admission 6.4±5.1 points). Radial-carotid pulse wave velocity (CR PWV), peripheral blood pressure (BP) and heart rate (HR) were measured (SphygmoCor®) within several (6±2) days after stroke onset. Functional outcome was evaluated 90 days after stroke using the modified Rankin Scale (mRS) with an mRS score of 0 to 1 considered as an excellent outcome. Results: In univariate analysis, age, severity of stroke, heart rate, previous stroke, predicted stroke functional outcome. By contrast, CR PWV had no significant predictive value for stroke outcome (8.91±1.66 vs 8.56±1.50 m/s; p=0.14). In a multivariate analysis, the predictive value of CR PWV was significantly associated with functional outcome (OR, 1.34; 95% CI, 1.77–1.01; p=0.04) after adjustment for covariates, with higher values of CR PWV being associated with better prognosis. Conclusions: We found that the CR PWV in patients in the subacute phase of ischemic stroke is associated with functional outcome independently of traditional neurologic and hemodynamic factors. This PWV index might be useful in clinical practice, including therapeutic decisions, but needs broader studies in patient populations of stroke subtypes.

Global hyperperfusion after successful endovascular thrombectomy is linked to worse outcome in acute ischemic stroke

Patients with stroke may develop hyperperfusion after a successful endovascular thrombectomy (EVT). However, the relationship between post-EVT hyperperfusion and clinical outcomes remains unclear and requires further clarification. We reviewed consecutive patients with anterior circulation occlusion who were successfully recanalized with EVT. Based on post-EVT arterial spin-labeling images, hyperperfusion was categorized as follows: global hyperperfusion (GHP), increased cerebral blood flow (CBF) in ≥ 50% of the culprit vessel territory; focal hyperperfusion (FHP), increased CBF in < 50% of the culprit vessel territory; no hyperperfusion (NHP), no discernible CBF increase. Factors associated with hyperperfusion were assessed, and clinical outcomes were compared among patients under different hyperperfusion categories. Among 131 patients, 25 and 40 patients developed GHP and FHP, respectively. Compared to other groups, the GHP group had worse National Institutes of Health Stroke Scale score (GHP vs. NHP/FHP, 18.1 ± 7.4 vs. 12.3 ± 6.0; p < 0.001), a larger post-EVT infarct volume (98.9 [42.3–132.7] vs. 13.5 [5.0–34.1] mL; p < 0.001), and a worse 90-day outcome (modified Rankin Scale, 3 [1–4] vs. 2 [0–3]; p = 0.030). GHP was independently associated with infarct volume (B = 0.532, standard error = 0.163, p = 0.001), and infarct volume was a major mediator of the association of GHP with unfavorable outcomes (total effect: β = 0.176, p = 0.034; direct effect: β = 0.045, p = 0.64; indirect effect: β = 0.132, p = 0.017). Patients presenting with post-EVT GHP had poorer neurological prognosis, which is likely mediated by a large infarct volume.

Impaired endogenous fibrinolysis status: a potential prognostic predictor in ischemic stroke.

Stroke confers a severe global healthcare burden, hence exploring risk factors for stroke occurrence and prognosis is important for stroke prevention and post-stroke management strategies. Endogenous fibrinolysis is a spontaneous physiological protective mechanism that dissolves thrombus to maintain vascular patency. Recently, impaired endogenous fibrinolysis has been considered as a potential novel cardiovascular risk factor, but its link with ischaemic stroke in the past has been underappreciated. In this review, we summarize the latest mechanisms of endogenous fibrinolysis, review the current evidence and data on endogenous fibrinolysis in ischemic stroke. It includes the structure of thrombus in ischemic stroke patients, the effect of fibrin structure on the endogenous fibrinolytic efficiency, and the association between intravenous thrombolytic therapy and endogenous fibrinolysis in ischemic stroke. It also includes the single factors (tissue plasminogen activator, urokinase plasminogen activator, plasminogen activator inhibitor-1, thrombin activatable fibrinolysis inhibitor, complement component 3, complement component 5, alpha-2-antiplasmin, plasmin-alpha-2-antiplasmin complex, and lipoprotein[a]), and the global assessments of endogenous fibrinolysis status (thromboelastography, rotational thromboelastometry, and global thrombosis test), and their potential as predictors to identify occurrence or unfavorable functional outcomes of ischemic stroke. All of these assessments present advantages and limitations, and we suggest that the global thrombosis test may be more appropriate for detecting impaired endogenous fibrinolysis status in ischemic stroke patients.

Correlation between thrombus composition and regulatory T cell counts with clinical outcomes of acute ischemic stroke patients with thrombectomy.

To analyze the relationship of thrombus composition and regulatory T cell expression with clinical outcome in acute ischemic stroke (AIS) patients with thrombectomy. A total of 44 AIS patients who underwent thrombectomy in the Department of Neurology of Shaoxing Hospital from June 2021 to October 2022 were enrolled. All thrombus specimens were subjected to hematoxylin-eosin staining and immunohistochemistry. Semi-quantitative analysis was performed to determine the content of red blood cells, fibrinogen/platelets, and regulatory T (CD4+CD25+) cells. Clinical data, vascular recanalization status, and neurologic outcomes at 3 months after thrombectomy were collected. A modified Rankin Scale score of 0-2 was defined as a favorable outcome. Among 44 patients with complete thrombus data there were 15 cases of red cell type, 11 cases of mixed type and 18 cases of fibrin/platelet type. There was a significant difference in trial of ORG 10172 in acute stroke treatment (TOAST) etiological classification among the three groups (P<0.01), while no significant differences were found in other general clinical and surgical data (all P>0.05). According to the TOAST etiology, 28 cases were classified as large atherosclerosis type and 16 cases as cardioembolic type. The proportion of red blood cells in thrombus was significantly higher in patients with large atherosclerosis type than that in those with cardioembolic type [58.0% (44.2%, 72.5%) vs. 24.5% (12.7%, 48.0%), P<0.01]. The ratio of fibrin to platelet in patients with cardiogenic embolism was significantly higher than that in patients with large atherosclerosis [73.0% (49.2%, 84.5%) vs. 40.0% (25.2%, 54.5%), P<0.01). Among the 44 patients, 19 had good while 25 had poor neurological outcomes. Univariate binary logistic regression analysis showed that age, operation time, CD4+CD25+T cell number were correlated with the functional outcomes of the patients (all P<0.05). Multivariate binary logistic regression analysis showed that thrombus CD4+CD25+T cell count was an independent factor affecting the functional outcome of patients (OR=1.369, 95%CI: 1.101-1.701, P<0.01). There is no significant correlation of erythrocyte and fibrin/platelet components in thrombus with functional outcome in AIS patients, but an increased count of regulatory T cells associates with good functional outcome.

Serial ASPECTS to predict stroke-associated pneumonia after thrombolysis in patients with acute ischemic stroke.

Stroke-associated pneumonia (SAP) is a serious complication in stroke patients, significantly increasing mortality. The Alberta Stroke Program Early CT Score (ASPECTS) is a recognized predictor of acute ischemic stroke outcomes. We aimed to investigate the performance of serial ASPECTS assessments (baseline ASPECTS, 24-h ASPECTS, and change in ASPECTS) for predicting SAP in patients with thrombolyzed acute anterior circulation ischemic stroke (AACIS). A retrospective observational cohort study of adult patients with thrombolyzed AACIS was conducted. Baseline and 24-h ASPECTS using non-contrast computed tomography (NCCT), complications of stroke, including SAP and swallowing dysfunction using the Modified Water Swallowing test, were collected. Baseline and 24-h ASPECTS were evaluated by a certified neurologist and neuroradiologist. The predictive performance was determined based on the receiver operating characteristic curve (ROC). Multivariable logistic regression analyses were employed to assess the impact of serial ASPECTS assessment on predicting SAP. Of the 345 patients with thrombolyzed AACIS in our study, 18.4% (64/345) experienced SAP. The patients' median age was 62 years [interquartile range (IQR): 52-73], with 53.4% being male. The median NIHSS score was 11 points (IQR: 8-17). The ROC analysis revealed areas under the curve for predicting SAP with baseline ASPECTS, 24-h ASPECTS, and change in ASPECTS were 0.75 (95% CI, 0.69-0.82), 0.84 (95% CI, 0.79-0.89), and 0.82 (95% CI, 0.76-0.87), respectively. Of the three measures, 24-h ASPECTS was a better predictor of SAP (odds ratio: 5.33, 95%CI: 2.08-13.67, p < 0.001) and had a higher sensitivity (0.84 [95%CI, 0.74-0.92]) and specificity (0.79 [95%CI, 0.74-0.84]) than both baseline ASPECTS and change in ASPECTS. 24-h NCCT-ASPECTS outperformed both baseline ASPECTS and change in ASPECTS for predicting SAP. Notably, 24-h ASPECTS, with a cut-off value of ≤6, exhibited good predictive performance and emerged as the better predictor for SAP.

Combination of Hs-CRP and Homocysteine Levels as Predictors of Short-term Outcome in Acute Ischemic Stroke

Combination of Hs-CRP and Homocysteine Levels as Predictors of Short-term Outcome in Acute Ischemic Stroke

The role of blood protein biomarkers in acute ischemic stroke prognosis

BackgroundStroke is one of the most frequent causes of mortality and disability, blood protein biomarkers are used to determine patients at high risk for a severe illness and to estimate the outcome. This study aimed to detect the relation between serum levels of C-reactive protein, matrix metalloproteinase 9, S100 calcium-binding protein B, brain natriuretic peptide, D-dimer and stroke severity and outcome in acute ischemic stroke patients.ResultsOne hundred eighty-six patients with acute ischemic stroke participated and were subjected to complete general, neurological examination, assessment of stroke severity clinically and radiologically using National Institute of Health Stroke Scale (NIHSS), and Alberta Stroke Program Early CT (ASPECT) score and assessment of functional outcome using (modified Rankin Scale). C-reactive protein, matrix metalloproteinase 9, S100 calcium-binding protein B, brain natriuretic peptide and D-dimer were assessed. Higher C-reactive protein was found in patients with ASPECT score ≤ 7 and in patients with cerebral edema, seizures and was positively correlated with stroke severity according to NIHSS and modified Rankin Scale. C-reactive protein serum level at onset was negatively correlated with NIHSS at onset and is a significant predictor for mortality. D-dimer was negatively correlated with NIHSS. S100 calcium-binding protein B was significantly elevated in patients who developed hemorrhagic transformation.ConclusionsSerum C-reactive protein level can be used as a predictor for mortality and higher S100 calcium-binding protein B was detected in patients with hemorrhagic transformation.

Association of clinical outcome and imaging endpoints in extensive ischemic stroke—comparing measures of cerebral edema

ObjectivesIschemic edema is associated with worse clinical outcomes, especially in large infarcts. Computed tomography (CT)–based densitometry allows direct quantification of absolute edema volume (EV), which challenges indirect biomarkers like midline shift (MLS). We compared EV and MLS as imaging biomarkers of ischemic edema and predictors of malignant infarction (MI) and very poor clinical outcome (VPCO) in early follow-up CT of patients with large infarcts.Materials and methodsPatients with anterior circulation stroke, large vessel occlusion, and Alberta Stroke Program Early CT Score (ASPECTS) ≤ 5 were included. VPCO was defined as modified Rankin scale (mRS) ≥ 5 at discharge. MLS and EV were quantified at admission and in follow-up CT 24 h after admission. Correlation was analyzed between MLS, EV, and total infarct volume (TIV). Multivariable logistic regression and receiver operating characteristics curve analyses were performed to compare MLS and EV as predictors of MI and VPCO.ResultsSeventy patients (median TIV 110 mL) were analyzed. EV showed strong correlation to TIV (r = 0.91, p < 0.001) and good diagnostic accuracy to classify MI (EV AUC 0.74 [95%CI 0.61–0.88] vs. MLS AUC 0.82 [95%CI 0.71–0.94]; p = 0.48) and VPCO (EV AUC 0.72 [95%CI 0.60–0.84] vs. MLS AUC 0.69 [95%CI 0.57–0.81]; p = 0.5) with no significant difference compared to MLS, which did not correlate with TIV < 110 mL (r = 0.17, p = 0.33).ConclusionEV might serve as an imaging biomarker of ischemic edema in future studies, as it is applicable to infarcts of all volumes and predicts MI and VPCO in patients with large infarcts with the same accuracy as MLS.Clinical relevance statementUtilization of edema volume instead of midline shift as an edema parameter would allow differentiation of patients with large and small infarcts based on the extent of edema, with possible advantages in the prediction of treatment effects, complications, and outcome.Key Points• CT densitometry–based absolute edema volume challenges midline shift as current gold standard measure of ischemic edema.• Edema volume predicts malignant infarction and poor clinical outcome in patients with large infarcts with similar accuracy compared to MLS irrespective of the lesion extent.• Edema volume might serve as a reliable quantitative imaging biomarker of ischemic edema in acute stroke triage independent of lesion size.

Microalbuminuria as a Predictor of Early Neurological Deterioration and Poor Functional Outcomes in Acute Ischemic Stroke.

Background Ischemic stroke is a major health crisis with significant consequences. Microalbuminuria, a sign of endothelial dysfunction, has been linked to adverse outcomes in ischemic stroke. Early neurological deterioration (END) is a critical factor influencing the patient's prognosis. This study aimed to determine the prevalence of microalbuminuria, its predictive value in assessing END, and its prognostic implications in acute ischemic stroke (AIS). Methodology This study conducted at Pradyumna Bal Memorial Hospital, Kalinga Institute of Medical Sciences Bhubaneswar (November 2020-April 2022) included 114 AIS patients over 18 years who presented within 24 hours of stroke onset. Demographics, vascular risk factors, National Institutes of Health Stroke Scale (NIHSS) scores (admission and day three), modified Rankin scores (day 10), urinary albumin-to-creatinine ratios, and carotid artery Doppler studies were collected. Results The mean age of the patients was 61.87 years, with males constituting 72.8% of the population. Hypertension (50.9%) and diabetes mellitus (28.9%) were the most common comorbid conditions. The mean NIHSS stroke severity at presentation was 11.30. END occurred in 38.6% of patients. Overall, 43.9% of cases showed carotid stenosis, and the mean carotid intimal media thickness was 1.08 mm. Notably, the presence of microalbuminuria significantly increased the chances of both END (39.45 times higher risk) and worse functional outcomes (odds ratio = 19.147, p = 0.001). Conclusions Microalbuminuria emerges as a robust independent predictor of END and a poor prognosis in AIS. These findings highlight the importance of early microalbuminuria identification and intervention to reduce END risk and potentially improve outcomes in AIS patients.

Association between serum calcium and prognosis in patients with acute ischemic stroke in ICU: analysis of the MIMIC-IV database

BackgroundWhile serum Ca has proven to be a reliable predictor of mortality across various diseases, its connection with the clinical outcomes of ischemic stroke (IS) remains inconclusive. Our research aimed to explore the relationships between serum total Ca (tCa) and serum ionized Ca (iCa) and mortality among acute IS (AIS) patients.MethodsWe gathered data from 1773 AIS patients in the Medical Information Mart for Intensive Care Database IV, including baseline demographic data, comorbidities, vital signs, laboratory-based data, and scoring systems. Endpoints for the study encompassed 30-d, 90-d, and 365-d all-cause mortalities. Employing restricted cubic spline Cox regression, we explored potential nonlinear relationships between admission serum iCa and tCa levels and mortality. Participants were categorized into four groups based on serum iCa and tCa quartiles. Multivariable Cox regression analysis was then conducted to evaluate the independent association of iCa and tCa quartiles with all-cause mortality.ResultsThe restricted cubic spline revealed a U-shaped association between iCa and 30-d and 90-d mortality (P<0.05), while the relationship between iCa and 365-d mortality was linear (P<0.05). After adjusting for confounders, multivariable Cox analysis demonstrated that the lowest serum iCa level quartile was independently associated with increased risks of 30-d, 90-d, and 365-d mortality. Similarly, the highest serum iCa level quartile was independently associated with increased risks of 30-d and 90-d mortality, but not 365-d mortality. Notably, serum tCa level showed no association with increased risks of 30-d, 90-d, and 365-d mortality.ConclusionsOur findings suggest that serum iCa, rather than tCa, is linked to ischemic stroke prognosis. Both high and low serum iCa levels are associated with poor short-term prognosis, while only low serum iCa is associated with poor long-term prognosis in AIS patients.

Risk of cardiovascular disease with high-dose versus low-dose use of non-steroidal anti-inflammatory drugs in ankylosing spondylitis

ObjectiveTo investigate the risk of cardiovascular disease (CVD) associated with increasing dose of a non-steroidal anti-inflammatory drug (NSAID) in patients with ankylosing spondylitis (AS).MethodsUsing the Korean National Health Insurance database,...