Evidence map›Paper›PMID 37527384›Full record

ArticleThe western journal of emergency medicine2023

Single-step Optimization in Triaging Large Vessel Occlusion Strokes: Identifying Factors to Improve Door-to-groin Time for Endovascular Therapy.

Joshua Rawson, Ashley Petrone, Amelia Adcock

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Article in The western journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joshua RawsonWest Virginia University School of Medicine, Morgantown, West Virginia.
Ashley PetroneWest Virginia University, Department of Pathology, Morgantown, West Virginia.
Amelia AdcockWest Virginia University, Department of Neurology; Cerebrovascular Division, Morgantown, West Virginia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlthough acute stroke endovascular therapy (EVT) has dramatically improved outcomes in acute ischemic stroke (AIS) patients with large vessel occlusions (LVO), access to EVT-capable centers remains limited, particularly in rural areas. Therefore, it is essential to optimize triage systems for EVT-eligible patients. One strategy may be the use of a telestroke network that typically consists of multiple spoke sites that receive a consultation to determine appropriateness of patient transfer to an EVT-capable hub site. Standardization of AIS protocols may be necessary to achieve target door-to-groin (DTG) times of less than 60 minutes in EVT-eligible patients upon hub arrival. Specifically, the decision to obtain vascular imaging at the transferring hub site vs delaying until arrival at the hub is controversial. The purpose of this study was to identify factors associated with reduced DTG time in LVO-AIS patients.

methodsWe performed a retrospective chart review for all patients treated over a 3.5-year period at our home hub institution. Patients were classified as telestroke transfers, non-telestroke transfers, and direct-to-hub presentations. We recorded demographic information, DTG time, reperfusion status, length of stay (LOS), functional status at discharge, seven-day mortality, and the site where vascular imaging- computed tomography angiography (CTA)-was obtained. We performed binary logistic regression to identify factors associated with DTG <60 minutes.

resultsIn the sample of EVT-eligible patients (n = 383), CTA was performed at the spoke site prior to transfer to the hub institution in 53% of cases. Further, 59% of telestroke transfer cases received a CTA prior to transfer compared to only 40% of non-telestroke transfers (59 vs 40%, P = 0.01). A Door-to-groin time <60 minutes was achieved in 67% of transfer patients who received pre-transfer CTA compared to only 22% of transfer patients who received CTA upon hub arrival and 17% of patients who presented directly to the hub. Ultimately, transfer patients who received CTA prior to transfer were 7.2 times more likely to have a DTG <60 minutes compared to those who did not (OR 7.2, 95% confidence interval 3.5-14.7; P < 0.001).

conclusionPre-transfer computed tomography angiography was the only significant predictor of achieving target door-to-groin times of less than 60 minutes. Because DTG time has been well established as a predictor of clinical outcomes, including pre-transfer CTA in a standardized acute ischemic stroke protocol may prove beneficial. Our findings also illustrate the need to optimize direct-to-hub stroke alerts and telestroke relationships to minimize workflow disruptions, which became more apparent during the pandemic.

Indexed as

Endovascular ProceduresIschemic StrokeStrokeVascular System InjuriesGroinHumansRetrospective StudiesTime-to-TreatmentTreatment OutcomeTriage

Identifiers

PMID37527384
PMCPMC10393444

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.