Thrombolysis in stroke patients with elevated inflammatory markers

Full-spectrum Cannabis sativa extract enhances gut-peripheral organ integrity after experimental ischemic stroke

OBJECTIVE

This study aims to investigate the impact of full-spectrum Cannabis sativa extract (FSC) treatment on gut and peripheral organ protection after ischemic stroke.

MAIN METHODS

Male Wistar rats were subjected to 60-min middle cerebral artery occlusion (MCAO) or sham surgery, and received FSC (15 or 30 mg/kg) or coconut oil by gavage at different time points post-MCAO. After 72 h, neurological score, infarct volume, blood cell count, thymus, spleen and adrenal gland size and weight, serum corticosterone, intestinal permeability, oxidative stress, and inflammatory cytokines in peripheral organs were assessed.

KEY FINDINGS

The results show a significant improvement in neurological deficits, suggesting the therapeutic potential of FSC in post-stroke recovery. Additionally, a reduction in body mass, a decrease in blood cells related to the immune response, and atrophy of lymphoid organs, lower corticosterone levels, and reduced intestinal permeability were observed. FSC treatment also demonstrated a crucial role in protecting against oxidative stress and post-stroke lung inflammation.

SIGNIFICANCE

The discovery of the positive impacts of FSC in this study represents an entry point for new explorations and perspectives within this field. With latent potential, these findings have the power to shape clinical research, especially in the realm of neurodegenerative diseases and innovative therapies. Therefore, the results highlight the promising role of FSC, paving the way for more effective and transformative clinical interventions.

Association Between Naples Prognostic Score and All-Cause and Cardiovascular Mortality in Stroke Patients

OBJECTIVES

Stroke is a primary public health challenge worldwide, with its prognosis profoundly related to inflammation and nutritional status. Naples prognostic score (NPS) is an integrated indicator of combined inflammation and nutrition. The study aimed to elucidate the link between NPS and all-cause and cardiovascular (CVD) deaths in stroke patients.

METHODS

NHANES (2001 to 2018) data set was used. Multivariate corrected Cox models, Kaplan-Meier, and restricted cubic spline analysis were adopted to explore the link between NPS, all-cause, and CVD mortality in stroke patients. Subgroup analyses based on age, sex, BMI, education, alcohol consumption, smoking, hypertension, and diabetes were performed to further explore associations.

RESULTS

Totally, 1247 stroke patients were enrolled. High NPS levels were notably linked with a heightened risk of all-cause mortality (HR: 1.320, 95% CI: 1.180-1.470, P<0.001) and CVD death (HR: 1.390, 95% CI: 1.120-1.730, P=0.003) in stroke patients after adjusting for relevant factors. Compared with group 0 (NPS=0), group 2 (NPS=3-4) had a high hazard ratio for all-cause mortality (HR: 2.920, 95% CI: 1.820-4.670, P<0.001) and CVD mortality (HR: 2.610, 95% CI: 1.140-5.970, P=0.023). The RCS suggested a linear link between NPS and both all-cause (P for nonlinear=0.2202) and CVD deaths (P for nonlinear=0.9841) in stroke patients. These links were mostly consistent in subgroups. There was no pronounced interaction between status and NPS scores for each subgroup (all P<0.05).

CONCLUSIONS

High NPS scores are connected with an augmented risk of all-cause mortality and CVD death in stroke patients. NPS is possibly connected with prognosis in stroke patients.

Machine learning-based scoring model for predicting mortality in ICU-admitted ischemic stroke patients with moderate to severe consciousness disorders

Background

Stroke is a leading cause of mortality and disability globally. Among ischemic stroke patients, those with moderate to severe consciousness disorders constitute a particularly high-risk subgroup. Accurate predictive models are essential for guiding clinical decisions in this population. This study aimed to develop and validate an automated scoring system using machine learning algorithms for predicting short-term (3- and 7-day) and relatively long-term (30- and 90-day) mortality in this population.

Methods

This retrospective observational study utilized data from the MIMIC-IV database, including 648 ischemic stroke patients with Glasgow Coma Scale (GCS) scores ≤12, admitted to the ICU between 2008 and 2019. Patients with GCS scores indicating speech dysfunction but clear consciousness were excluded. A total of 47 candidate variables were evaluated, and the top six predictors for each mortality model were identified using the AutoScore framework. Model performance was assessed using the area under the curve (AUC) from receiver operating characteristic (ROC) analyses.

Results

The median age of the cohort was 76.8 years (IQR, 64.97-86.34), with mortality rates of 8.02% at 3 days, 18.67% at 7 days, 33.49% at 30 days, and 38.89% at 90 days. The AUCs for the test cohort's 3-, 7-, 30-, and 90-day mortality prediction models were 0.698, 0.678, 0.724, and 0.730, respectively.

Conclusion

We developed and validated a novel machine learning-based scoring tool that effectively predicts both short-term and relatively long-term mortality in ischemic stroke patients with moderate to severe consciousness disorders. This tool has the potential to enhance clinical decision-making and resource allocation for these patients in the ICU.

Fluid excess on intensive care unit after mechanical thrombectomy after acute ischemic stroke is associated with unfavorable neurological and functional outcomes: An observational cohort study

INTRODUCTION

Endovascular thrombectomy stands as a pivotal component in the standard care for patients experiencing acute ischemic stroke with large vessel occlusion. Subsequent care for patients often extends to a neurological intensive care unit. While fluid management is integral to intensive care, the association between early fluid balance and neurological and functional outcomes post-thrombectomy has not yet been thoroughly investigated.

METHODS

In a retrospective analysis of an observational, single-center study spanning from 2015 to 2021 at the University Medical Center Hamburg-Eppendorf, Germany, we enrolled stroke patients who underwent thrombectomy and received subsequent treatment in the ICU. Unfavorable functional and neurological outcome was defined as a mRS > 2 on day 90 after admission (mRS d90) or NIHSS > 5 at discharge, respectively. A multivariate regression model, adjusting for confounders, utilized the average fluid balance in the first 5 days to predict outcomes. Patients were dichotomized by their average fluid balance (>1 L vs <1 L) within the first 5 days, and a multivariate mRS d90 shift analysis was conducted after adjusting for covariates.

RESULTS

Between 2015 and 2021, 1252 patients underwent thrombectomy, and 553 patients met the inclusion criteria (299 women [54%]). Unfavorable functional outcome was significantly associated with a higher daily average fluid balance in the first 5 days in the ICU (mRS d90 ⩽ 2: 0.3 ± 0.5 L, mRS d90 > 2: 0.7 ± 0.7 L, p = 0.02). The same association was observed for the NIHSS at discharge (NIHSS ⩽ 5: 0.3 ± 0.5 L; NIHSS > 5: 0.6 ± 0.6 L; p = 0.03). The mRS d90 shift analysis revealed significance for patients with an average fluid balance <1 L for better functional outcomes (adjusted odds ratio [AOR] 2.17; 95% confidence interval [CI] 1.54-3.07; p < 0.01).

DISCUSSION

Fluid retention in post-thrombectomy stroke patients in the ICU is associated with poorer functional and neurological outcomes. Consequently, fluid retention emerges as an additional potential predictor for post-intervention stroke outcomes. Our findings provide an initial indication that preventing excessive fluid retention in stroke patients after endovascular thrombectomy could be beneficial for both functional and neurological recovery. Therefore, fluid retention might be an element to consider in optimizing fluid management for stroke patients.

Association between the systemic immunity-inflammation index and stroke: a population-based study from NHANES (2015-2020)

Background The systemic immunity-inflammation index(SII) is a new indicator of composite inflammatory response. Inflammatory response is an important pathological process in stroke. Therefore, this study sought to investigate the association between SII and stroke. Methods We collected data on participants with SII and stroke from the 2015-2020 cycle of National Health and Nutrition Examination Survey (NHANES) for the cross-sectional investigation. Multivariate linear regression models were used to test the association between SII and stroke. Fitted smoothing curves and threshold effect analysis were applied to describe the nonlinear relationship. Results A total of 13,287 participants were included in our study, including 611 (4.598%) participants with stroke. In a multivariate linear regression analysis, we found a significant positive association between SII and stroke, and the odds ratio (OR) [95% CI] of SII associating with prevalence of stroke was [1.02 (1.01, 1.04)] (P < 0.01). In subgroup analysis and interaction experiments, we found that this positive relationship was not significantly correlated among different population settings such as age, gender, race, education level, smoking status, high blood pressure, diabetes and coronary heart disease (P for trend > 0.05). Moreover, we found an nonlinear relationship between SII and stroke with an inflection point of 740 (1,000 cells /µl) by using a two-segment linear regression model. Conclusions This study implies that increased SII levels are linked to stroke. To confirm our findings, more large-scale prospective investigations are needed.

Prognostic Value of Fibrosis-4 in Acute Ischemic Stroke Patients Undergoing Intravenous Thrombolysis

Purpose

Although recombinant tissue plasminogen activator (rt-PA) treatment is efficient in patients with acute ischemic stroke (AIS), a significant percentage of patients who received rt-PA intravenous thrombolysis (IVT) do not achieve a good prognosis. Therefore, the factors that affect the poor prognosis of patients with IVT are needed. The Fibrosis-4 (FIB-4) index has been used as a liver fibrosis biomarker. We aimed to investigate the relationship between the FIB-4 index and functional outcomes in patients with AIS receiving IVT.

Patients and Methods

This study prospectively included consecutive patients with AIS receiving IVT between April 2015 and May 2022. We collected clinical and laboratory data and calculated the FIB-4 index. Clinical outcome was poor functional outcome (mRS ≥3) at 3 months after IVT. Multivariate logistic regression analysis was used to analyze the association between FIB-4 and outcome. We explored the interactive effect of FIB-4 and dyslipidemia on poor outcomes, and subgroup analysis was performed. Furthermore, an individualized prediction model based on the FIB-4 for functional outcome was established in the dyslipidemia group.

Results

A total of 1135 patients were included, and 41.50% had poor 3-month outcomes. After adjusted by other variants that P value <0.05 in univariable analysis, FIB-4 was independently associated with poor outcomes (OR=1.420; 95% CI: 1.113-1.812; P=0.004). There was a significant interaction between FIB-4 and dyslipidemia on poor outcome (P=0.036), and the independent association between FIB-4 and poor outcome was maintained in the dyslipidemia subgroup (OR=1.646; 95% CI: 1.228-2.206; P=0.001). Furthermore, in the dyslipidemia group, the FIB-4-based prediction model had good predictive value (the AUC of the training and validation sets were 0.767 and 0.708, respectively), good calibration (P-values for the Hosmer-Lemeshow test >0.05), and clinical usefulness.

Conclusion

FIB-4 is an independent risk factor for poor outcomes in IVT patients with dyslipidemia, which can be used as a simple predictor of their prognosis.

Inflammatory markers and functional outcome score in different subgroups of ischaemic stroke: a prospective cohort study

Background

Acute ischaemic stroke (AIS) is a leading cause of disability and mortality worldwide. Determining subgroups and outcomes of AIS may lead to better treatment. We aimed to investigate the relationship between inflammatory markers and subgroups of AIS with further follow-up of patients in terms of functional outcome score.

Methods

In this prospective cohort study, we examined white cell count (WCC), neutrophil count, lymphocyte count, neutrophil-to-lymphocyte ratio (NLR), erythrocyte sedimentation rate (ESR) and qualitative C reactive protein (CRP), in the first 24 hours of patients' admission. Patients were assigned to AIS subgroups as defined by the TOAST criteria. Then patients' disability score was followed up after 3 and 6 months, using the modified Rankin Scale.

Results

We included 217 patients with AIS. The mean age of participants was 72.07 years, and we included 92 women (42.4%). For the AIS subgroup, 83 (38.25%) patients had large artery atherosclerosis (LAA), 41 (18.89%) had cardioembolism and 62 (28.57) had small vessel obstruction. Neutrophil count and NLR showed a statistically significant difference in the subgroups of AIS and were highest in the 'other' subgroup of AIS (p<0.05). Lymphocyte count, ESR and qualitative CRP showed no statistically significant difference between subgroups (p>0.05). WCC, neutrophil count and NLR showed a positive correlation with functional outcomes (p<0.05), other markers did not correlate with outcomes (pp>0.05).

Conclusion

We can conclude that neutrophil count and NLR are available inflammatory biomarkers for predicting outcomes and these two biomarkers are associated with AIS subgroups. However, ESR, qualitative CRP and lymphocyte count do not appear to be correlated with outcomes or subgroup of AIS.

Effects of admission systemic inflammatory indicators on clinical outcomes in patients with vertebrobasilar artery occlusion: insight from the PERSIST registry

BACKGROUND

Few studies have focused on the effect of systemic inflammation in vertebrobasilar artery occlusion (VBAO). The aim of this study was to investigate the relationship between inflammatory indicators and the prognosis of VBAO patients receiving endovascular treatment (EVT).

METHOD

Patients with VBAO who were treated with EVT within 24 hours of the estimated occlusion time were included in this study. Multivariate logistic regression and elastic net regularization were performed to analyze the effects of inflammatory indicators on the prognosis of patients with VBAO. The primary outcome was unfavorable outcome (a modified Rankin Scale score of 4-6) at 90 days. Secondary outcomes included symptomatic intracranial hemorrhage, in-hospital mortality, 90 day mortality, 1 year unfavorable outcome, and mortality.

RESULTS

560 patients were included in the study. Multivariate analysis showed that white blood cells (W), neutrophils (N), neutrophil to lymphocyte ratio (NLR), platelet to neutrophil ratio, platelet to white blood cell ratio, and NLR to platelet ratio were associated with the primary outcome. Elastic net regularization indicated that W, N, and NLR were the major inflammatory predictors of unfavorable outcome at 90 days. For long term prognosis, we found that the inflammatory indicators that predicted 1 year outcomes were consistent with those that predicted 90 day outcomes.

CONCLUSION

Inflammatory indicators, especially W, N, and NLR, were associated with moderate and long term prognosis of patients with VBAO treated with EVT.

IV Thrombolysis With or Without Endovascular Treatment for Suspected Ischemic Stroke in Patients With Intracranial Tumors

BACKGROUND AND OBJECTIVES

IV thrombolysis (IVT) for suspected ischemic stroke in patients with intracranial neoplasms is off-label. However, data on risks of intracranial hemorrhage (ICH) are scarce.

METHODS

In a multicenter registry-based analysis within the European Thrombolysis in Ischemic Stroke Patients (TRISP) collaboration, we assessed frequencies of symptomatic and fatal ICH after IVT for suspected ischemic stroke in patients with intracranial tumors by descriptive statistics and analyzed associations with clinical and imaging characteristics by binary logistic regression. Definition of symptomatic ICH was based on the clinical criteria of the European Cooperative Acute Stroke-II trial including hemorrhage at any site in cranial imaging and concurrent clinical deterioration.

RESULTS

Screening data of 21,289 patients from 14 centers, we identified 105 patients receiving IVT; among them were 29 patients (28%) with additional endovascular treatment, with suspected, that is, imaging-based, or histologically confirmed diagnosis of intracranial tumors. Among 104 patients with CT or MRI after IVT available, symptomatic and fatal ICH were observed in 9 and 4 patients (9% and 4%, respectively). Among 82 patients with suspected or confirmed meningioma, symptomatic and fatal ICH occurred in 6 and 3 patients (7% and 4%), respectively. In 18 patients with intra-axial suspected or confirmed primary or secondary brain tumors, there was 1 symptomatic nonfatal ICH (6%). Of 4 patients with tumors of the pituitary region, 2 patients (50%) had symptomatic ICH including 1 fatal ICH (25%). Tumor size was not associated with the occurrence of symptomatic ICH (odds ratio 2.8, 95% CI 0.3-24.8, p = 0.34).

DISCUSSION

In our dataset from routine clinical care, we provide insights on the safety of IVT for suspected ischemic stroke in patients with intracranial tumors, a population that is commonly withheld thrombolysis in clinical practice and prospective trials. Except for a potential high risk of symptomatic ICH after IVT in patients with tumors of the pituitary region, frequencies of symptomatic ICH in patients with intracranial tumors in our cohort seem to be in the upper range of rates observed in previous studies within the TRISP cooperation. These results may guide individual treatment decisions in patients with acute stroke and intracranial tumors with potential benefit of IVT.

C-reactive protein levels are associated with early cardiac complications or death in patients with acute ischemic stroke: a propensity-matched analysis of a global federated health from the TriNetX network

The role of inflammation in predicting early cardiac complications among stroke patients is unclear. Electronic medical records from TriNetX, a global federated health research network, were used for this retrospective analysis. Patients with ischemic stroke and C-Reactive Protein (CRP) levels measured within 24 h post-stroke were categorized into three groups: (i) < 1 mg/L, (ii)1-3 mg/L and (iii) > 3 mg/L. The primary outcome was a composite outcome of cardiac complications (heart failure (HF), ischemic heart disease, atrial fibrillation (AF), ventricular arrhythmias and Takotsubo cardiomyopathy) or death at 30 days from the index event. Cox-regression analyses were used to produce hazard ratios (HRs) and 95% confidence intervals (CI) following 1:1 propensity score matching (PSM). Of the 104,741 patients enrolled, 51% were female and the mean age was 66 ± 16 years. After PSM, a new cardiac complication or death within 30 days occurred in 5624 (33.1%) patients with CRP > 3 mg/L, in 4243 (25.6%) patients with CRP 1-3 mg/L and in 3891 (23.5%) patients with CRP < 1 mg/L. Patients with CRP levels of 1-3 mg/L and > 3 mg/L had higher risk of the composite outcome (HR 1.10, 95%CI 1.05-1.52; HR 1.51, 95%CI 1.45-1.58), death (HR 1.43, 95%CI 1.24-1.64; HR 3.50, 95%CI 3.01-3.96), HF (HR 1.08, 95%CI 1.01-1.16; HR 1.51, 95%CI 1.41-1.61), AF (HR 1.10, 95% CI:1.02-1.18; HR 1.42, 95%CI 1.33-1.52) and ventricular arrhythmias (HR 1.25, 95%CI 1.02-1.52; HR 1.67, 95% CI 1.38-2.01) compared to those with CRP < 1 mg/L. Ischemic heart disease were more common among patients with CRP levels > 3 mg/L compared to those with CRP < 1 mg/L (HR:1.33, 95% CI:1.26-1.40), while no association with Takotsubo cardiomyopathy was found in all the analyses. CRP levels within the first 24 h of an ischemic stroke predict 30-day cardiac complications or death.