Evidence map›Paper›PMID 34823243›Full record

ArticleCerebrovascular diseases extra2021

Modeling the Impact of Prehospital Triage on a True-Life Drip and Ship Mechanical Thrombectomy Urban Patient Cohort.

Stavros Matsoukas, Brian Giovanni, Liorah Rubinstein, Shahram Majidi, Laura K Stein, Johanna T Fifi

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Article in Cerebrovascular diseases extra, 2021. 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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2 · The registry

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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

6 authors.

Stavros MatsoukasDepartment of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA, stavros.matsoukas@mountsinai.org.
Brian GiovanniDepartment of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA.
Liorah RubinsteinDepartment of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA.
Shahram MajidiDepartment of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA.
Laura K SteinDepartment of Neurology, The Mount Sinai Hospital, New York, New York, USA.
Johanna T FifiDepartment of Neurosurgery, The Mount Sinai Hospital, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the study was to model the effect of prehospital triage of emergent large vessel occlusion (ELVO) to endovascular capable center (ECC) on the timing of thrombectomy and intravenous (IV) thrombolysis using real-world data from a multihospital system.

methodsWe selected a cohort of 77 consecutive stroke patients who were brought by emergency medical services (EMS) to a nonendovascular capable center and then transferred to an ECC for mechanical thrombectomy (MT) ("actual" drip and ship [DS] cohort). We created a hypothetical scenario (bypass model [BM]), modeling transfer of the patients directly to an ECC, based on patients' initial EMS pickup address and closest ECC. Using another cohort of 73 consecutive patients, who were brought directly to an ECC by EMS and underwent endovascular intervention, we calculated mean door-to-needle and door-to-arterial puncture (AP) times ("actual" mothership [MS] cohort). Timings in the actual MS cohort and the actual DS cohort were compared to timings from the BM cohort.

resultsMedian first medical contact (FMC) to IV thrombolysis time was 87.5 min (interquartile range [IQR] = 38) for the DS versus 78.5 min (IQR = 8.96) for the BM cohort, with p = 0.1672. Median FMC to AP was 244 min (IQR = 97) versus 147 min (IQR = 8.96) (p < 0.001), and median FMC to TICI 2B+ time was 299 min (IQR = 108.5) versus 197 min (IQR = 8.96) (p < 0.001) for the DS versus BM cohort, respectively.

conclusionsModeled EMS prehospital triage of ELVO patients' results in shorter MT times without a change in thrombolysis times. As triage tools increase in sensitivity and specificity, EMS triage protocols stand to improve patient outcomes.

Indexed as

Brain IschemiaEmergency Medical ServicesStrokeHumansThrombectomyTriageBypass modelDrip and ship cohortIntravenous thrombolysisLarge vessel occlusionMothership cohortStroke triage scale

Identifiers

PMID34823243
PMCPMC8740215

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