Frequency, management, and outcomes of early neurologic deterioration due to stroke progression or recurrence

Development of a deep neural network model for ultra-early neurological deterioration in ischemic stroke and analysis of associated risk factors

BACKGROUND

In this study, we established a deep neural network (DNN)-based predictive model, aiming to provide a basis for improving the treatment prognosis of early neurological deterioration (END) in patients with ultra-early ischemic stroke after intravenous thrombolysis with Alteplase.

METHODS

A total of 1747 patients with ultra-early ischemic stroke who received intravenous thrombolysis with Alteplase were retrospectively included into the Yidu cloud database. These patients were assigned into the END group (234 cases) and the (No-END) group (1513 cases) based on whether END occurred within 48 h of admission. Tensorflow module in Python software platform was utilized to establish a DNN-based predictive model. Based on the training set (1397 cases) and a testing set (350 cases), the final DNN-based predictive model was generated for the prediction of END-associated factors. The discriminant performance of the model was evaluated by calculating the area under the receiver operating characteristic (ROC) curve (AUC).

RESULTS

The incidence of END in the participants was 13.39 % after intravenous thrombolysis with alteplase. The END group exhibited higher incidences of hemorrhage, all-cause deaths during hospitalization, and poor prognosis versus the No-END group (all p < 0.001). The AUC of DNN model prediction was 0.853, with a sensitivity of 70.53 % and specificity of 100.00 %. The DNN-based predictive model could effectively predict the END-associated factors.

CONCLUSION

The DNN-based predictive model in this study has a high predicative accuracy, good generalization ability, and robustness, without overfitting. This model is available for the prediction of END in ultra-early ischemic stroke.

Early Neurological Deterioration and Time to Start Dual Antiplatelet Therapy in Patients With Acute Mild-to-Moderate Ischemic Stroke: A Pre-Specified Post Hoc Analysis of the ATAMIS Trial

BACKGROUND AND PURPOSE

This study comprised a post hoc analysis of the Antiplatelet Therapy in Acute Mild to Moderate Ischemic Stroke (ATAMIS) trial aiming to determine whether the effect of dual antiplatelet therapy compared with that of monotherapy on preventing early neurological deterioration (END) differed according to the time from stroke onset to antiplatelet therapy (OTT).

METHODS

In the ATAMIS trial, patients were divided into two subgroups: OTT from 0 to 24 hours (0-24 h group) and OTT from 24 to 48 hours (24-48 h group). We conducted multivariate regression analysis with continuous and categorical OTT to detect the effect of antiplatelet therapy. The primary outcome was END at 7 days, defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) score of more than two points compared with the baseline. The safety outcomes were bleeding events and intracranial hemorrhage within 90 days.

RESULTS

A total of 2,915 patients were included. With respect to END at 7 days, clopidogrel plus aspirin showed a lower proportion than aspirin alone across continuous OTT (4.8% vs. 6.7%; adjusted risk difference, -1.9%; 95% confidence interval [CI], -3.6% to -0.2%; P=0.03), and was lower in the 0-24 hours group (5.7% vs. 9.2%; adjusted risk difference, -3.7%; 95% CI, -5.5% to -2.0%; P<0.01), but similar in the 24-48 hours group (3.5% vs. 2.9%; adjusted risk difference, 0.6%; 95% CI, -0.8% to 2.0%; P=0.40). We identified a significant interaction between the treatment effect and time subgroup with respect to the primary outcome (P=0.03). The occurrence of bleeding events and intracranial hemorrhage was similar in the time subgroup.

CONCLUSION

For patients with acute mild-to-moderate ischemic stroke, clopidogrel plus aspirin was associated with a lower risk of END at 7 days than aspirin alone when it was started within 24 hours of symptom onset.

Effect of Nurse's detection of neurological deterioration on the prognosis of patients with acute cerebral infarction

Introduction

There is little evidence about the factors related to the detection of neurological deterioration by nurses. We examined the related factors and therapeutic outcomes of nurses' detections of patient's neurological deterioration.

Methods

This was a descriptive retrospective study. We included 549 adult stroke patients who were admitted to the acute stroke unit of a tertiary hospital between May 2018 and December 2019 and had changes in neurological symptoms that were detected by stroke nurses. We measured the following outcomes: stroke lesion progression, early neurological deterioration (increase in the total national institutes of health stroke scale score of 2 points or more, increase in the limb weakness score of 1 point or more, or decrease in the alertness score of 1 point or more), and additional clinical management (increasing intravenous fluids, diagnostic imaging, or neuro-intervention). Data was analyzed by logistic regression.

Results

A total of 651 new or aggravating symptoms were detected by nurses. The most detected symptom was motor aggravations (49.2 %). Symptoms were commonly detected during the day shift (51.0 %) and by scheduled neurochecks (71.3 %). Of 132 patients who underwent diagnostic imaging by nurses' detection, 63.6 % cases had stroke lesion progression. Nursing experience over 4 years was positively associated with finding stroke lesion progression (OR: 2.49, 95 % CI = 1.09-5.67). Early neurological deterioration was found in 70.7 %, and it was significantly higher during scheduled neurochecks (OR:2.65, 95 % CI = 1.04-6.72) and in the group of large artery atherosclerosis (OR: 2.19, 95 % CI = 1.06-4.49) Additional clinical management was provided to 49.9 % of detection, and scheduled neurocheks (OR: 4.76, 95 % CI = 2.18-10.39) and changes of alertness (OR: 2.89, 96 % CI = 1.51-5.26) were the significant factors.

Conclusion

Stroke nurses were able to detect a large number of stroke lesion progression and early neurological deterioration as well as to provide additional clinical management. Systematic guidelines for qualification of stroke nurses may be beneficial.

Opportunities for developing neural stem cell treatments for acute ischemic stroke: A systematic review and gap analysis

Ischemic stroke is a leading cause of disability and death. Current treatments are limited. Stem cell therapy has been highlighted as a potentially effective treatment to mitigate damage and restore function, but efficacy results are mixed. This study aimed to systematically review the literature on stem cell therapies for early acute ischemic stroke; and identify opportunities for future research to facilitate the development of an effective stem cell-based treatment. Original research published within the last 10 years that focused on the evaluation of a stem cell-based treatment for acute ischemic stroke in adult patients or subjects was included. Risk of bias was assessed using the SYRCLE and Cochrane risk of bias tools for animal and human studies, respectively. 3,396 articles were screened, 58 full-text articles were reviewed and 33 met inclusion criteria. Many studies appeared to be at risk of bias. Study designs and results were heterogeneous. Most studies were preclinical and involved stem cell administration within 24 hours. Seven studies tested the effects of multiple administration timepoints and one investigated repeat dosing. Six studies were conducted in humans and stem cell administration ranged from 24 hours to 90 days post stroke. Most studies employed the use of mesenchymal stem cells. The most appropriate cell delivery method appeared to be intra-arterial. Evidence suggests that stem cell therapy may be associated with beneficial effects. A literature gap analysis identified numerous opportunities for treatment development.

The association between malnutrition status and hemorrhagic transformation in patients with acute ischemic stroke receiving intravenous thrombolysis

OBJECTIVES

We evaluated the impact of malnutrition as estimated by the controlling nutritional status (CONUT) score and prognostic nutritional index (PNI) on hemorrhagic transformation (HT) and stroke outcomes after intravenous thrombolysis (IVT).

MATERIALS AND METHODS

Using a multicenter registry database, we enrolled 808 patients with acute ischemic stroke who received IVT between August 2013 and May 2021. We defined malnutrition as a CONUT score ≥ 2 and low PNI. The primary outcome measure was the occurrence of symptomatic HT contributing to early neurologic deterioration (END-SHT) after IVT. Multivariable analysis was performed to analyze the association between CONUT score, PNI, and END-SHT after IVT.

RESULTS

The rate of END-SHT was higher with increasing CONUT scores and PNI values. In the multivariable analysis, CONUT score ≥ 5 and low PNI were significantly associated with END-SHT (odds ratio [95% confidence interval], CONUT score ≥ 5: 12.23 [2.41-62.07], p = 0.003; low PNI: 4.98 [1.76-14.09], p = 0.003). The receiver operating characteristic curve showed that both the CONUT score and PNI had good predictive ability. The cutoff values for CONUT and PNI were 5 and 42.3, respectively, for END-SHT.

CONCLUSION

Malnutrition, as denoted by a higher CONUT score and lower PNI, was associated with END-SHT. The joint application of both nutritional markers could be useful in predicting END-SHT after IVT.