Nomogram predicting early neurological improvement in ischaemic stroke patients treated with endovascular thrombectomy

The impacts of venous outflow profiles on outcomes among large vessel occlusion patients receiving endovascular treatment in the late window

OBJECTIVES

To investigate the association between venous outflow (VO) profiles and outcomes among acute ischemic stroke caused by anterior circulation large vessel occlusion (AIS-LVO) patients who had undergone endovascular treatment (EVT) in the late window of 6-24 h from stroke onset.

METHODS

This was a post-hoc analysis of our preceding RESCUE-BT trial, with findings validated in an external cohort. Baseline computed tomographic angiography (CTA) was performed to assess VO using the Cortical Vein Opacification Score (COVES). The primary clinical outcome was functional independence at 90 days (modified Rankin Scale score of 0-2). The adjusted odd ratio (aOR) and confidence interval (CI) were obtained from multivariable logistic regressions.

RESULTS

A total of 440 patients were included in the present study. After identifying the cutoff of COVES by marginal effects approach, enrolled patients were divided into the favorable VO group (COVES 4-6) and the poor VO (COVES 0-3) group. Multivariable logistic regression analysis showed that favorable VO (aOR 2.25; 95% CI 1.31-3.86; p = 0.003) was associated with functional independence. Similar results were detected in the external validation cohort. Among those with poor arterial collateralization, favorable VO was still an independent predictor of functional independence (aOR 2.09; 95% CI 1.06-4.10; p = 0.032).

CONCLUSION

The robust VO profile indicated by COVES 4-6 could promote the frequency of functional independence among AIS-LVO patients receiving EVT in the late window, and the prognostic value of VO was independent of the arterial collateral status.

CLINICAL RELEVANCE STATEMENT

The robust venous outflow profile was a valid predictor for functional independence among AIS-LVO patients receiving EVT in the late window (6-24 h) and the predictive role of venous outflow did not rely on the status of arterial collateral circulation.

Association of Chinese visceral adiposity index with clinical outcome in patients after endovascular thrombectomy

BACKGROUND AND PURPOSE

The Chinese Visceral Adiposity Index (CVAI) is a reliable indicator of visceral adiposity dysfunction in the Chinese population. We aimed to evaluate the association between CVAI and clinical outcome in Chinese ischemic stroke patients who received endovascular thrombectomy (EVT).

METHODS

This study retrospectively included patients with large vessel occlusive stroke receiving EVT treatment in 2 China stroke centers. Baseline CVAI was calculated after admission. Patients with a modified Rankin scale score ≥ 3 at 3 months after ischemic stroke were defined as poor outcome. Binary multivariate logistic regression models were utilized to explore the association between CVAI and the risk of 90-day unfavorable outcome.

RESULTS

A total of 453 patients (mean age, 70.4  ± 12.1 years; 280 male) were included. During the 90-day follow-up, 236 (52.1 %) patients experienced poor outcome. After multivariable adjustment for potential confounders, increasing CVAI was associated with an increased risk of 90-day poor outcome (odds ratios, per-standard deviation increase: 1.521; 95 % confidence interval, 1.127-2.052; P = 0.006). Similar significant results were observed when the CVAI was analyzed as a categorical variable. Furthermore, the multiple-adjusted spline regression model showed an inverted J-shape association between CVAI and risk of unfavorable outcome (P = 0.048 for non-linearity).

CONCLUSIONS

This study demonstrated that CVAI is positively correlated with 90-day poor outcome in Chinese ischemic stroke patients after EVT.

Higher Serum E-Selectin Levels Associated with Malignant Brain Edema after Endovascular Thrombectomy for Ischemic Stroke: A Pilot Study

Background and Purpose: Little is known about the effect of soluble adhesion molecules on malignant brain edema (MBE) after endovascular thrombectomy (EVT). This study aimed to explore the association between serum concentrations of E-selectin and the risk of MBE in patients who received EVT. Methods: Patients with a large vessel occlusion stroke in the anterior circulation who underwent EVT were prospectively recruited. Serum soluble E-selectin concentrations were measured after admission for all patients. MBE was defined as a midline shift of ≥5 mm on follow-up imaging within 72 h after surgery. Multivariate logistic regression analyses were performed to determine the association between E-selectin levels and the risk of MBE. Results: Among the 261 included patients (mean age, 69.7 ± 12.3 years; 166 males), 59 (22.6%) developed MBE. Increasing circulating E-selectin levels were associated with an increased risk of MBE after multivariable adjustment (odds ratios [OR], highest vs. lowest quartile: 3.593; 95% confidence interval [CI], 1.178-10.956; p = 0.025). We further observed a significantly positive association between E-selectin and MBE (per 1-standard deviation increase; OR, 1.988; 95% CI, 1.379-2.866, p = 0.001) when the E-selectin levels were analyzed as a continuous variable. Furthermore, the restricted cubic spline demonstrated a linear correlation between serum E-selectin levels and the risk of MBE (p < 0.001 for linearity). Conclusions: In this prospective study, circulating levels of E-selectin were associated with an increased risk of MBE after EVT. Further mechanistic studies are warranted to elucidate the pathophysiology underlying this association.

Development and Validation of a Prediction Model for 30-Day Mortality and Functional Outcome in Patients with Primary Brainstem Hemorrhage

INTRODUCTION

Primary brainstem hemorrhage (PBSH) is the most fatal subtype of intracerebral hemorrhage and is associated with poor prognosis. We aimed to develop a prediction model for predicting 30-day mortality and functional outcome in patients with PBSH.

METHODS

We reviewed records of 642 consecutive patients with first-time PBSH from three hospitals between 2016 and 2021. Multivariate logistic regression was used to establish a nomogram in a training cohort. Cutoff points of the variables were determined by receiver operating characteristic curve analysis, and certain points were assigned to these predictors to produce the PBSH score. The nomogram and PBSH score were compared with other scoring systems for PBSH.

RESULTS

Five independent predictors, comprised of temperature, pupillary light reflex, platelet-to-lymphocyte ratio, Glasgow Coma Scale (GCS) score on admission, and hematoma volume, were incorporated to construct the nomogram. The PBSH score consisted of 4 independent factors with individual points assigned as follows: temperature, ≥38°C (=1 point), <38°C (=0 points); pupillary light reflex, absence (=1 point), presence (=0 points); GCS score 3-4 (=2 points), 5-11 (=1 point), and 12-15 (=0 points); PBSH volume >10 mL (=2 points), 5-10 mL (=1 point), and <5 mL (=0 points). Results showed that the nomogram was discriminative in predicting both 30-day mortality (area under the ROC curve [AUC] of 0.924 in the training cohort, and 0.931 in the validation cohort) and 30-day functional outcome (AUC of 0.887). The PBSH score was discriminative in predicting both 30-day mortality (AUC of 0.923 in the training cohort and 0.923 in the validation cohort) and 30-day functional outcome (AUC of 0.887). The prediction performances of the nomogram and the PBSH score were superior to the intracranial hemorrhage (ICH) score, primary pontine hemorrhage (PPH) score, and new PPH score.

CONCLUSIONS

We developed and validated two prediction models for 30-day mortality and functional outcome in patients with PBSH. The nomogram and PBSH score could predict 30-day mortality and functional outcome in PBSH patients.

Endothelial Dysfunction and Parenchymal Hematoma in Ischemic Stroke Patients after Endovascular Thrombectomy

INTRODUCTION

Endothelial dysfunction (ED) may result in parenchymal injury and therefore worsen the outcomes of ischemic stroke. This study aimed to determine whether ED could predict parenchymal hematoma (PH) in ischemic stroke patients treated with endovascular thrombectomy (EVT).

METHODS

Patients with large artery occlusion in the anterior circulation and treated with EVT were prospectively enrolled from 2 stroke centers. Serum soluble intercellular adhesion molecule-1, soluble vascular cell adhesion molecule-1, soluble E-selectin, and von Willebrand factor (vWF) were tested and summed to a standardized score to reflect the levels of ED. PH was diagnosed according to the Heidelberg Bleeding Classification.

RESULTS

Of the 325 enrolled patients (mean age, 68.6 years; 207 men), 41 (12.6%) developed PH. Patients with PH had higher concentrations of soluble E-selectin, vWF, and ED sum score. After adjusting for demographic characteristics, National Institutes of Health Stroke Scale score, pretreatment Alberta stroke program early computed tomography score, and other potential confounders, the increased ED burden was associated with PH (odds ratio, 1.432; 95% confidence interval, 1.031-1.988; p = 0.032). Similar significant results were found in the sensitivity analysis. The multiple-adjusted spline regression model showed a linear association between the total ED score and PH (p = 0.001 for linearity). Adding the ED score to the conventional model significantly improved the risk prediction of PH (net reclassification improvement = 25.2%, p = 0.001; integrated discrimination index = 2.9%; p = 0.001).

CONCLUSIONS

This study demonstrated that ED might be related to PH. Introducing the ED score could increase the reliability of the PH risk model for stroke patients treated with EVT.

The prognostic value of caveolin-1 levels in ischemic stroke patients after mechanical thrombectomy

BACKGROUND AND PURPOSE

The impact of serum caveolin-1 (Cav-1) on clinical outcomes in patients after mechanical thrombectomy (MT) is unclear. We aimed to investigate the association between serum cav-1 levels and the 3-month functional outcome.

METHODS

We prospectively enrolled and analyzed patients with an anterior circulation large vessel occlusion who underwent MT. Serum cav-1 concentrations were tested after admission. The primary outcome was a 90-day modified Rankin Scale score of 3-6.

RESULTS

Of the 237 recruited patients (mean age, 69.7 ± 12.1 years; 152 male), 131 (55.3%) experienced a 90-day poor outcome. After adjustment for demographic characteristics and other covariates, patients with higher serum Cav-1 levels had a reduced risk of poor outcome at 3 months (Per 1-standard deviation increase; odd ratios [OR], 0.59; 95% confidence interval [CI], 0.39 - 0.89, P = 0.013). Elevated Cav-1 concentrations (Per 1-standard deviation increase; OR, 0.59; 95% CI, 0.40 - 0.88, P = 0.011) were significantly associated with a favorable shift in modified Rankin Scale score distribution. Similar results were confirmed when the Cav-1 levels were analyzed as a categorical variable. Furthermore, the restricted cubic spline showed a linear association between Cav-1 levels and 90-day poor outcome (P = 0.032 for linearity).

CONCLUSIONS

Increased serum Cav-1 levels were associated with improved prognosis at 3 months in ischemic stroke patients after MT, suggesting that Cav-1 may be a potential prognostic biomarker for ischemic stroke after reperfusion therapy.

A Novel Metabolic Score for Insulin Resistance and Symptomatic Intracranial Hemorrhage in Ischemic Stroke Patients After Endovascular Thrombectomy

BACKGROUND AND PURPOSE

Insulin resistance plays a pivotal role in the pathophysiology of ischemic stroke. This study aimed to determine the relationship between the novel metabolic score for insulin resistance (METS-IR) and symptomatic intracranial hemorrhage (sICH) after endovascular thrombectomy (EVT) in stroke patients.

METHODS

We retrospectively included patients with large artery occlusion in the anterior circulation and treated by EVT from 2 stroke centers (Nanjing First Hospital from September 2019 to April 2022, and Jinling Hospital from September 2019 to July 2021). The METS-IR was used as an alternative marker of insulin resistance and calculated using laboratory data after admission. sICH was diagnosed according to the Heidelberg Bleeding Classification.

RESULTS

Of the 410 enrolled patients (mean age, 69.8 ± 11.7 years; 60.7% men), 50 (12.2%) were diagnosed as sICH. After adjusting for demographic characteristics, poor collateral status, and other potential confounders, higher METS-IR was revealed to be independently associated with sICH (odds ratio, 1.076; 95% confidence interval, 1.034-1.120; P = 0.001). Similar significant results were obtained when defining METS-IR as a categorical variable. The restricted cubic spline uncovered a linear relationship between METS-IR and sICH (P < 0.001 for linearity). Furthermore, adding METS-IR to the conventional model significantly improved the risk prediction for sICH (net reclassification improvement = 15.8%, P = 0.035; integrated discrimination index = 2.6%; P = 0.017).

CONCLUSION

This study demonstrated a significant association between METS-IR score and sICH in ischemic stroke patients treated with EVT. It could help monitor and manage sICH in patients after EVT.

Automated quantification of atrophy and acute ischemic volume for outcome prediction in endovascular thrombectomy

Background

Short- and long-term outcomes from endovascular thrombectomy (EVT) for large vessel occlusion stroke remain variable. Numerous relevant predictors have been identified, including severity of neurological deficits, age, and imaging features. The latter is typically defined as acute changes (most commonly Alberta Stroke Programme Early CT Score, ASPECTS, at presentation), but there is little information on the impact of imaging assessment of premorbid brain health as a determinant of outcome.

Aims

To examine the impact of automated measures of stroke severity and underlying brain frailty on short- and long-term outcomes in acute stroke treated with EVT.

Methods

In 215 patients with anterior circulation stroke, who subsequently underwent EVT, automated analysis of presenting non-contrast CT scans was used to determine acute ischemic volume (AIV) and e-ASPECTS as markers of stroke severity, and cerebral atrophy as a marker of brain frailty. Univariate and multivariate logistic regression were used to identify significant predictors of NIHSS improvement, modified Rankin scale (mRS) at 90 and 30 days, mortality at 90 days and symptomatic intracranial hemorrhage (sICH) following successful EVT.

Results

For long-term outcome, atrophy and presenting NIHSS were significant predictors of mRS 0-2 and death at 90 days, whereas age did not reach significance in multivariate analysis. Conversely, for short-term NIHSS improvement, AIV and age were significant predictors, unlike presenting NIHSS. The interaction between age and NIHSS was similar to the interaction of AIV and atrophy for mRS 0-2 at 90 days.

Conclusion

Combinations of automated software-based imaging analysis and clinical data can be useful for predicting short-term neurological outcome and may improve long-term prognostication in EVT. These results provide a basis for future development of predictive tools built into decision-aiding software in stroke.

Levels of adhesion molecules and clinical outcomes in patients with ischemic stroke after mechanical thrombectomy

Background and purpose

Data on adhesion molecule levels in patients treated with mechanical thrombectomy (MT) are scarce. We aimed to evaluate the association among adhesion molecule levels, symptomatic intracranial hemorrhage (sICH), and clinical outcome and to determine whether the sICH influences the association of adhesion molecules with functional outcome.

Methods

Patients with large artery occlusion in the anterior circulation and treated with MT were prospectively recruited. Adhesion molecules, such as soluble intercellular adhesion molecule-1, soluble vascular cell adhesion molecule-1 (sVCAM-1), and soluble E-selectin (sE-selectin) were tested. An unfavorable outcome was defined as a 90-day modified Rankin Scale (mRS) score of 3–6. The sICH was diagnosed according to the Heidelberg Bleeding Classification within 72 h of endovascular treatment (EVT).

Results

Of the 310 enrolled patients (mean age, 68.5 years; 198 men), 46 (14.8%) experienced sICH and 173 (55.8%) experienced an unfavorable outcome at 90 days. After adjusting for potential confounders, patients with higher sVCAM-1 and sE-selectin levels had an increasing trend of sICH [4th quartile vs. 1st quartile for sVCAM-1; odds ratio (OR), 2.766, p = 0.085; sE-selectin; OR, 2.422, p = 0.086] and poor outcome (4th quartile vs. 1st quartile for sVCAM-1; OR, 2.614, p = 0.025; sE-selectin; OR, 2.325, p = 0.046). Furthermore, the sICH might partially mediate the worse functional outcome in patients with higher adhesion molecules levels (Sobel test, p < 0.001 for sVCAM-1 and p = 0.007 for sE-selectin).

Conclusions

There were significant relationships between levels of adhesion molecules and a 90-day poor outcome in patients with ischemic stroke treated with MT, which was partially mediated by sICH.

Endothelial caveolin-1 regulates cerebral thrombo-inflammation in acute ischemia/reperfusion injury

BACKGROUND

Thrombo-inflammation is an important checkpoint that orchestrates infarct development in ischemic stroke. However, the underlying mechanism remains largely unknown. Here, we explored the role of endothelial Caveolin-1 (Cav-1) in cerebral thrombo-inflammation.

METHODS

The correlation between serum Cav-1 level and clinical outcome was analyzed in acute ischemic stroke patients with successful recanalization. Genetic manipulations by endothelial-specific adeno-associated virus (AAV) and siRNA were applied to investigate the effects of Cav-1 in thrombo-inflammation in a transient middle cerebral artery occlusion (tMCAO) model. Thrombo-inflammation was analyzed by microthrombosis formation, myeloid cell infiltration, and endothelial expression of adhesion molecules as well as inflammatory factors.

FINDINGS

Reduced circulating Cav-1, with the potential to predict microembolic signals, was more frequently detected in recanalized stroke patients without early neurological improvement. At 24 h after tMCAO, serum Cav-1 was consistently reduced in mice. Endothelial Cav-1 was decreased in the peri-infarct region. Cav-1^-/- endothelium, with prominent barrier disruption, displayed extensive microthrombosis, accompanied by increased myeloid cell inflammatory infiltration after tMCAO. Specific enhanced expression of endothelial Cav-1 by AAV-Tie1-Cav-1 remarkably reduced infarct volume, attenuated vascular hyper-permeability and alleviated thrombo-inflammation in both wild-type and Cav-1^-/- tMCAO mice. Transcriptome analysis after tMCAO further designated Rxrg as the most significantly changed molecule resulting from the knockdown of Cav-1. Supplementation of RXR-γ siRNA reversed AAV-Tie1-Cav-1-induced amelioration of thrombo-inflammation without affecting endothelial tight junction.

INTERPRETATION

Endothelial Cav-1/RXR-γ may regulate infarct volume and neurological impairment, possibly through selectively controlling thrombo-inflammation coupling, in cerebral ischemia/reperfusion.

FUNDING

This work was supported by National Natural Science Foundation of China.

Development and validation of a prognostic nomogram based on objective nutritional indexes in ischemic stroke patients with large vessel occlusion undergoing endovascular thrombectomy

BACKGROUND AND AIMS

Preserved nutritional status in acute ischemic stroke patients with large vessel occlusion (LVO) undergoing endovascular thrombectomy (EVT) is important but lacks an effective evaluation method. We aimed to investigate the prognostic value of objective nutritional indexes (ONIs) in LVO patients after EVT that were validated by studies in patients with other vascular diseases receiving intervention therapy and to develop a functional prediction nomogram for better stroke management.

METHODS AND RESULTS

LVO patients undergoing EVT from 2016 to 2020 were retrospectively enrolled and randomly classified into training and validation cohorts at a ratio of 7:3. The ONIs, including the Controlling Nutritional Status (CONUT) score, Nutritional Risk Index (NRI), and Prognostic Nutritional Index (PNI), were calculated. A stepwise logistic regression model for 3-month poor functional outcome based on the smallest Akaike information criterion was employed to develop the nomogram, and the nomogram's determination and clinical use were tested by area under the curve (AUC), calibration plots, and decision curve analysis and compared with three earlier prognostic models. A total of 418 patients were enrolled. The CONUT independently related and increased the risk of 3-month poor functional outcome with an OR of 1.387 (95% CI: 1.133-1.698, p = 0.002). A nomogram including CONUT and other seven factors (AIC = 274.568) was developed. The AUC of the nomogram was 0.847 (95% CI: 0.799-0.894) and 0.836 (95% CI: 0.755-0.916) in the training and validation cohort, respectively, with better predictive performance and clinical utility than previous models.

CONCLUSION

The CONUT independently related to the poor functional outcome, and the newly established nomogram reliably predicted the functional outcome in LVO patients after EVT.

Challenges of Outcome Prediction for Acute Stroke Treatment Decisions

Physicians often base their decisions to offer acute stroke therapies to patients around the question of whether the patient will benefit from treatment. This has led to a plethora of attempts at accurate outcome prediction for acute ischemic stroke treatment, which have evolved in complexity over the years. In theory, physicians could eventually use such models to make a prediction about the treatment outcome for a given patient by plugging in a combination of demographic, clinical, laboratory, and imaging variables. In this article, we highlight the importance of considering the limits and nuances of outcome prediction models and their applicability in the clinical setting. From the clinical perspective of decision-making about acute treatment, we argue that it is important to consider 4 main questions about a given prediction model: (1) what outcome is being predicted, (2) what patients contributed to the model, (3) what variables are in the model (considering their quantifiability, knowability at the time of decision-making, and modifiability), and (4) what is the intended purpose of the model? We discuss relevant aspects of these questions, accompanied by clinically relevant examples. By acknowledging the limits of outcome prediction for acute stroke therapies, we can incorporate them into our decision-making more meaningfully, critically examining their contents, outcomes, and intentions before heeding their predictions. By rigorously identifying and optimizing modifiable variables in such models, we can be empowered rather than paralyzed by them.