Impact of bridging thrombolysis versus endovascular thrombectomy alone on outcomes in anticoagulated patients with atrial fibrillation and acute ischaemic stroke.

BACKGROUND AND PURPOSE: The impact of bridging thrombolysis prior to endovascular thrombectomy (EVT) compared to EVT alone on intracerebral haemorrhage (ICH), subarachnoid haemorrhage (SAH), and death in anticoagulated atrial fibrillation (AF) patients with acute ischaemic stroke (AIS) is not well defined. METHODS: A retrospective study was conducted using data from a federated research network (TriNetX) including 114 health care organisations in the United States. Anticoagulated AF patients with AIS who received either bridging thrombolysis (BT) or EVT alone from September 2018 to November 2023 were included. Following propensity score matching, Cox regression analyses examined the risk of ICH, SAH, and death within 30 and 90 days, comparing anticoagulated AF patients receiving BT versus EVT only. RESULTS: A total of 3156 patients with AIS were treated with BT or EVT alone. Following 1:1 propensity score matching, the cohort included 766 patients in each group. ICH occurred within 30 and 90 days in 6.9% and 8.0% in the BT group compared with 7.4% and 7.7% in the EVT-only group (hazard ratios [HR] = 0.92, 95% confidence interval [CI] = 0.63-1.33 and HR = 1.01, 95% CI = 0.71-1.45, respectively). SAH occurred within 30 and 90 days in 4.2% and 4.4% of patients in the BT compared to 3.0% and 3.4% in the EVT-only group (HR = 1.38, 95% CI = 0.81-2.38 and HR = 1.29, 95% CI = 0.77-2.14, respectively). Death occurred within 30 and 90 days in 17.8% and 19.8% of patients in the BT compared to 22.2% and 27.3% in the EVT-only group (HR = 0.77, 95% CI = 0.62-0.97 and HR = 0.65, 95% CI = 0.56-0.86, respectively). CONCLUSIONS: In anticoagulated AF patients with AIS, BT was associated with a significantly lower risk of death, with no difference in ICH or SAH risk within 30 and 90 days compared to EVT only.

Perceptions of vision care following neurological impairment: a qualitative study.

BACKGROUND: Visual impairment is a common consequence of neurological impairments, and can impact a person's ability to undertake everyday tasks, affecting their confidence and mental health. Previous qualitative research in the UK has shown inequalities to exist where patients are accessing vision care after stroke, but little is known around the experiences of accessing vision care following other neurological impairments, and a lack of national guidelines prevent standardised care planning. The aim of this qualitative study is to explore the perceptions of vision care after neurological impairment, and to identify possible inequalities and support mechanisms, where it has been possible to access vision care. METHODS: University ethical approval was obtained, and adults with a visual impairment as a result of a neurological impairment were offered an in-depth interview to explore their vision care experiences. Data were collected between April and November 2021 and analysed using iterative, thematic analysis (TA), informed by a social constructionist ideology. RESULTS: Seventeen participants were recruited. Three overarching themes were conceptualised in relation to the participants' perception of vision care: Making sense of the visual impairment; The responsibility of vision care; and Influential factors in care quality perception. CONCLUSION: Inequalities were noted by participants, with most reporting a lack of suitable vision care offered as part of their neurological rehabilitation. Participants were thus burdened with the task of seeking their own support online, and encountered inaccurate and worrying information in the process. Participants noted changes in their identity, and the identity of their family carers, as they adjusted to their vision loss. The findings from this research highlight a need for clinicians to consider the long-term impact of vision loss after neurological impairment, and ensure patients are provided with adequate support and information, and appropriate referral pathways, alleviating this patient burden.

Systematic Review and Meta-Analysis of Prehospital Machine Learning Scores as Screening Tools for Early Detection of Large Vessel Occlusion in Patients With Suspected Stroke.

BACKGROUND: Enhanced detection of large vessel occlusion (LVO) through machine learning (ML) for acute ischemic stroke appears promising. This systematic review explored the capabilities of ML models compared with prehospital stroke scales for LVO prediction. METHODS AND RESULTS: Six bibliographic databases were searched from inception until October 10, 2023. Meta-analyses pooled the model performance using area under the curve (AUC), sensitivity, specificity, and summary receiver operating characteristic curve. Of 1544 studies screened, 8 retrospective studies were eligible, including 32 prehospital stroke scales and 21 ML models. Of the 9 prehospital scales meta-analyzed, the Rapid Arterial Occlusion Evaluation had the highest pooled AUC (0.82 [95% CI, 0.79-0.84]). Support Vector Machine achieved the highest AUC of 9 ML models included (pooled AUC, 0.89 [95% CI, 0.88-0.89]). Six prehospital stroke scales and 10 ML models were eligible for summary receiver operating characteristic analysis. Pooled sensitivity and specificity for any prehospital stroke scale were 0.72 (95% CI, 0.68-0.75) and 0.77 (95% CI, 0.72-0.81), respectively; summary receiver operating characteristic curve AUC was 0.80 (95% CI, 0.76-0.83). Pooled sensitivity for any ML model for LVO was 0.73 (95% CI, 0.64-0.79), specificity was 0.85 (95% CI, 0.80-0.89), and summary receiver operating characteristic curve AUC was 0.87 (95% CI, 0.83-0.89). CONCLUSIONS: Both prehospital stroke scales and ML models demonstrated varying accuracies in predicting LVO. Despite ML potential for improved LVO detection in the prehospital setting, application remains limited by the absence of prospective external validation, limited sample sizes, and lack of real-world performance data in a prehospital setting.