scholarly journals Large-vessel occlusion, large thrombus burden acute stroke in acute pulmonary embolism: A single multi-specialty multi-skill team treatment optimization

2021 ◽  
Vol 79 (12) ◽  
pp. 1382-1384
Author(s):  
Łukasz Tekieli ◽  
Tomasz Tomaszewski ◽  
Robert Musiał ◽  
Magdalena Lipińska-Strasik ◽  
Małgorzata Urbańczyk-Zawadzka ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Acute Stroke ◽  
Acute Pulmonary Embolism ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Treatment Optimization ◽  
Vessel Occlusion

scholarly journals Diagnostic value of transcranial ultrasonography for selecting subjects with large vessel occlusion: a systematic review

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Daria Antipova ◽  
Leila Eadie ◽  
Ashish Stephen Macaden ◽  
Philip Wilson
Keyword(s):  
Systematic Review ◽  
Diagnostic Accuracy ◽  
Acute Stroke ◽  
Clinical Assessment ◽  
Assessment Tools ◽  
Large Vessel ◽  
Cochrane Library ◽  
Direct Transfer ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion

Abstract Introduction A number of pre-hospital clinical assessment tools have been developed to triage subjects with acute stroke due to large vessel occlusion (LVO) to a specialised endovascular centre, but their false negative rates remain high leading to inappropriate and costly emergency transfers. Transcranial ultrasonography may represent a valuable pre-hospital tool for selecting patients with LVO who could benefit from rapid transfer to a dedicated centre. Methods Diagnostic accuracy of transcranial ultrasonography in acute stroke was subjected to systematic review. Medline, Embase, PubMed, Scopus, and The Cochrane Library were searched. Published articles reporting diagnostic accuracy of transcranial ultrasonography in comparison to a reference imaging method were selected. Studies reporting estimates of diagnostic accuracy were included in the meta-analysis. Results Twenty-seven published articles were selected for the systematic review. Transcranial Doppler findings, such as absent or diminished blood flow signal in a major cerebral artery and asymmetry index ≥ 21% were shown to be suggestive of LVO. It demonstrated sensitivity ranging from 68 to 100% and specificity of 78–99% for detecting acute steno-occlusive lesions. Area under the receiver operating characteristics curve was 0.91. Transcranial ultrasonography can also detect haemorrhagic foci, however, its application is largely restricted by lesion location. Conclusions Transcranial ultrasonography might potentially be used for the selection of subjects with acute LVO, to help streamline patient care and allow direct transfer to specialised endovascular centres. It can also assist in detecting haemorrhagic lesions in some cases, however, its applicability here is largely restricted. Additional research should optimize the scanning technique. Further work is required to demonstrate whether this diagnostic approach, possibly combined with clinical assessment, could be used at the pre-hospital stage to justify direct transfer to a regional thrombectomy centre in suitable cases.

Abstract 1122‐000022: Delays in Care for Patients with Acute Stroke During Hospitalization for Other Reasons

2021 ◽  
Vol 1 (S1) ◽  
Author(s):  
Nicholas Vigilante ◽  
Parth Patel ◽  
Prasanth Romiyo ◽  
Lauren Thau ◽  
Mark Heslin ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Acute Care ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Single Center ◽  
Anterior Circulation ◽  
Vessel Occlusion ◽  
Symptom Recognition ◽  
Risk Patients ◽  
Recognition Imaging

Introduction : In‐hospital stroke (IHS) is defined as stroke that occurs during hospitalization for non‐stroke conditions. We aimed to understand the timing of symptom recognition for patients who experienced IHS and its impact on the care they receive. Methods : A prospective, single center registry of adult patients (9/20/19‐2/28/21) was queried for acute anterior circulation IHS. Indications for hospitalization, delays from last known well (LKW) to symptom recognition, imaging, and treatment were explored. Results : Of 928 consecutively evaluated adults with acute stroke, 85 (9%) developed an anterior circulation IHS, 39 (46%) of whom were female, with a median age of 67 years (IQR 60–76) and median NIHSS of 15 (IQR 4–22). Sixty‐eight (80%) had a >1 hour delay from last known well to symptom recognition. Two patients (2%) received IV thrombolysis, although another 38 (45%) would have been eligible if not for a delay in symptom recognition. An ICA, M1, or M2 occlusion was observed in 18 patients (21%), 7 of whom were treated at a median of 174 minutes after LKW (IQR 65–219). Compared to the 11 patients who did not undergo thrombectomy with large vessel occlusion, those who underwent thrombectomy had non‐significantly shorter delays from LKW until neuroimaging (median 85 [IQR 65‐162] vs. 216 [IQR 133‐507], p = 0.12). Conclusions : While uncommon, patients with IHS experience delays in symptom recognition and treatment, which lead to exclusion from acute care treatment such as thrombolysis and thrombectomy. Earlier detection with more frequent nursing assessments or advanced neuromonitoring devices in at‐risk patients may reduce delays in care.

scholarly journals Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence

Stroke ◽  
2021 ◽  
Author(s):  
Raul G. Nogueira ◽  
Jason M. Davies ◽  
Rishi Gupta ◽  
Ameer E. Hassan ◽  
Thomas Devlin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Acute Stroke ◽  
Systems Of Care ◽  
Ct Perfusion ◽  
Stroke Care ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Number Of Patients ◽  
The Impact

Background and Purpose: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact of COVID-19 in the overall screening for acute stroke utilizing a commercial clinical artificial intelligence platform. Methods: Data were derived from the Viz Platform, an artificial intelligence application designed to optimize the workflow of patients with acute stroke. Neuroimaging data on suspected patients with stroke across 97 hospitals in 20 US states were collected in real time and retrospectively analyzed with the number of patients undergoing imaging screening serving as a surrogate for the amount of stroke care. The main outcome measures were the number of computed tomography (CT) angiography, CT perfusion, large vessel occlusions (defined according to the automated software detection), and severe strokes on CT perfusion (defined as those with hypoperfusion volumes >70 mL) normalized as number of patients per day per hospital. Data from the prepandemic (November 4, 2019 to February 29, 2020) and pandemic (March 1 to May 10, 2020) periods were compared at national and state levels. Correlations were made between the inter-period changes in imaging screening, stroke hospitalizations, and thrombectomy procedures using state-specific sampling. Results: A total of 23 223 patients were included. The incidence of large vessel occlusion on CT angiography and severe strokes on CT perfusion were 11.2% (n=2602) and 14.7% (n=1229/8328), respectively. There were significant declines in the overall number of CT angiographies (−22.8%; 1.39–1.07 patients/day per hospital, P <0.001) and CT perfusion (−26.1%; 0.50–0.37 patients/day per hospital, P <0.001) as well as in the incidence of large vessel occlusion (−17.1%; 0.15–0.13 patients/day per hospital, P <0.001) and severe strokes on CT perfusion (−16.7%; 0.12–0.10 patients/day per hospital, P <0.005). The sampled cohort showed similar declines in the rates of large vessel occlusions versus thrombectomy (18.8% versus 19.5%, P =0.9) and comprehensive stroke center hospitalizations (18.8% versus 11.0%, P =0.4). Conclusions: A significant decline in stroke imaging screening has occurred during the COVID-19 pandemic. This analysis underscores the broader application of artificial intelligence neuroimaging platforms for the real-time monitoring of stroke systems of care.

Abstract TP38: Re-Occlusion During Endovascular Therapy for Acute Stroke Patients With Large Vessel Occlusion

Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Qing Hao ◽  
Jacob Morey ◽  
Xiangnan Zhang ◽  
Emily Chapman ◽  
Reade DeLeacy ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Endovascular Therapy ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Stroke Patients ◽  
Vessel Occlusion

Infarct growth patterns may vary in acute stroke due to large vessel occlusion and recanalization with endovascular therapy

2020 ◽  
Vol 30 (12) ◽  
pp. 6432-6440
Author(s):  
Dong-Seok Gwak ◽  
Hong-Kyun Park ◽  
Cheolkyu Jung ◽  
Jae Hyoung Kim ◽  
Juneyoung Lee ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Endovascular Therapy ◽  
Growth Patterns ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion

Large Vessel Occlusion Score: A Screening Tool to Detect Large Vessel Occlusion in the Acute Stroke Setting

2019 ◽  
Vol 28 (4) ◽  
pp. 869-875
Author(s):  
Rui Kleber do V. Martins-Filho ◽  
Francisco A. Dias ◽  
Frederico F.A. Alves ◽  
Millene R. Camilo ◽  
Clara M.A. Barreira ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Screening Tool ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion

scholarly journals Better Collaterals Are Independently Associated With Post-Thrombolysis Recanalization Before Thrombectomy

Stroke ◽  
2019 ◽  
Vol 50 (4) ◽  
pp. 867-872 ◽  
Author(s):  
Pierre Seners ◽  
Pauline Roca ◽  
Laurence Legrand ◽  
Guillaume Turc ◽  
Jean-Philippe Cottier ◽  
...  
Keyword(s):  
Acute Stroke ◽  
Multivariable Analysis ◽  
Brain Magnetic Resonance Imaging ◽  
Intravenous Thrombolysis ◽  
Large Vessel ◽  
Dynamic Susceptibility ◽  
Collateral Flow ◽  
Large Vessel Occlusion ◽  
Vessel Occlusion ◽  
Perfusion Weighted Imaging

Background and Purpose— In acute stroke patients with large vessel occlusion, the goal of intravenous thrombolysis (IVT) is to achieve early recanalization (ER). Apart from occlusion site and thrombus length, predictors of early post-IVT recanalization are poorly known. Better collaterals might also facilitate ER, for instance, by improving delivery of the thrombolytic agent to both ends of the thrombus. In this proof-of-concept study, we tested the hypothesis that good collaterals independently predict post-IVT recanalization before thrombectomy. Methods— Patients from the registries of 6 French stroke centers with the following criteria were included: (1) acute stroke with large vessel occlusion treated with IVT and referred for thrombectomy between May 2015 and March 2017; (2) pre-IVT brain magnetic resonance imaging, including diffusion-weighted imaging, T2*, MR angiography, and dynamic susceptibility contrast perfusion-weighted imaging; and (3) ER evaluated ≤3 hours from IVT start on either first angiographic run or noninvasive imaging. A collateral flow map derived from perfusion-weighted imaging source data was automatically generated, replicating a previously validated method. Thrombus length was measured on T2*-based susceptibility vessel sign. Results— Of 224 eligible patients, 37 (16%) experienced ER. ER occurred in 10 of 83 (12%), 17 of 116 (15%), and 10 of 25 (40%) patients with poor/moderate, good, and excellent collaterals, respectively. In multivariable analysis, better collaterals were independently associated with ER ( P =0.029), together with shorter thrombus ( P <0.001) and more distal occlusion site ( P =0.010). Conclusions— In our sample of patients with stroke imaged with perfusion-weighted imaging before IVT and intended for thrombectomy, better collaterals were independently associated with post-IVT recanalization, supporting our hypothesis. These findings strengthen the idea that advanced imaging may play a key role for personalized medicine in identifying patients with large vessel occlusion most likely to benefit from IVT in the thrombectomy era.

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