Literature DB >> 28655816

Optimal Transport Destination for Ischemic Stroke Patients With Unknown Vessel Status: Use of Prehospital Triage Scores.

Eckhard Schlemm1, Martin Ebinger1, Christian H Nolte1, Matthias Endres1, Ludwig Schlemm2.   

Abstract

BACKGROUND AND
PURPOSE: Patients with acute ischemic stroke (AIS) and large vessel occlusion may benefit from direct transportation to an endovascular capable comprehensive stroke center (mothership approach) as opposed to direct transportation to the nearest stroke unit without endovascular therapy (drip and ship approach). The optimal transport strategy for patients with AIS and unknown vessel status is uncertain. The rapid arterial occlusion evaluation scale (RACE, scores ranging from 0 to 9, with higher scores indicating higher stroke severity) correlates with the National Institutes of Health Stroke Scale and was developed to identify patients with large vessel occlusion in a prehospital setting. We evaluate how the RACE scale can help to inform prehospital triage decisions for AIS patients.
METHODS: In a model-based approach, we estimate probabilities of good outcome (modified Rankin Scale score of ≤2 at 3 months) as a function of severity of stroke symptoms and transport times for the mothership approach and the drip and ship approach. We use these probabilities to obtain optimal RACE cutoff scores for different transfer time settings and combinations of treatment options (time-based eligibility for secondary transfer under the drip and ship approach, time-based eligibility for thrombolysis at the comprehensive stroke center under the mothership approach).
RESULTS: In our model, patients with AIS are more likely to benefit from direct transportation to the comprehensive stroke center if they have more severe strokes. Values of the optimal RACE cutoff scores range from 0 (mothership for all patients) to >9 (drip and ship for all patients). Shorter transfer times and longer door-to-needle and needle-to-transfer (door out) times are associated with lower optimal RACE cutoff scores.
CONCLUSIONS: Use of RACE cutoff scores that take into account transport times to triage AIS patients to the nearest appropriate hospital may lead to improved outcomes. Further studies should examine the feasibility of translation into clinical practice.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  emergency medical services; probability; stroke; thrombectomy; triage

Mesh:

Year:  2017        PMID: 28655816     DOI: 10.1161/STROKEAHA.117.017281

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  13 in total

1.  Evolution of a US County System for Acute Comprehensive Stroke Care.

Authors:  Radoslav I Raychev; Dana Stradling; Nirav Patel; Joey R Gee; David A Lombardi; Johnson L Moon; David M Brown; Mayank Pathak; Wengui Yu; Samuel J Stratton; Steven C Cramer
Journal:  Stroke       Date:  2018-04-06       Impact factor: 7.914

2.  Availability of Hospital Resources and Specialty Services for Stroke Care in North Carolina.

Authors:  Mehul D Patel; Gilson Honvoh; Antonio R Fernandez; Rhonda Cadena; Emma R Kelly; Philip McDaniel; Jane H Brice
Journal:  South Med J       Date:  2019-06       Impact factor: 0.954

3.  Optimization of Prehospital Triage of Patients With Suspected Ischemic Stroke.

Authors:  Ayman Ali; Kori S Zachrison; Patrick C Eschenfeldt; Lee H Schwamm; Chin Hur
Journal:  Stroke       Date:  2018-10       Impact factor: 7.914

Review 4.  [Prehospital care for stroke patients].

Authors:  C H Nolte; H J Audebert
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-09-12       Impact factor: 0.840

5.  Prehospital-Stroke-Scale Parameterized Hospital Selection Protocol for Suspected Stroke Patients Considering Door-to-Treatment Durations.

Authors:  Chun-Han Wang; Yu-Chen Chang; Yung Yang; Wen-Chu Chiang; Sung-Chun Tang; Li-Kai Tsai; Chung-Wei Lee; Jiann-Shing Jeng; Matthew Huei-Ming Ma; Ming-Ju Hsieh; Yu-Ching Lee
Journal:  J Am Heart Assoc       Date:  2022-03-29       Impact factor: 5.501

6.  Clinical benefit of improved Prehospital stroke scales to detect stroke patients with large vessel occlusions: results from a conditional probabilistic model.

Authors:  Ludwig Schlemm; Eckhard Schlemm
Journal:  BMC Neurol       Date:  2018-02-10       Impact factor: 2.474

7.  Effect of Interhospital Transfer on Endovascular Treatment for Acute Ischemic Stroke.

Authors:  Esmee Venema; Adrien E Groot; Hester F Lingsma; Wouter Hinsenveld; Kilian M Treurniet; Vicky Chalos; Sanne M Zinkstok; Maxim J H L Mulder; Inger R de Ridder; Henk A Marquering; Wouter J Schonewille; Marieke J H Wermer; Charles B L M Majoie; Yvo B W E M Roos; Diederik W J Dippel; Jonathan M Coutinho; Bob Roozenbeek
Journal:  Stroke       Date:  2019-04       Impact factor: 7.914

8.  Comparative Evaluation of 10 Prehospital Triage Strategy Paradigms for Patients With Suspected Acute Ischemic Stroke.

Authors:  Ludwig Schlemm; Matthias Endres; Jan F Scheitz; Marielle Ernst; Christian H Nolte; Eckhard Schlemm
Journal:  J Am Heart Assoc       Date:  2019-06-13       Impact factor: 5.501

9.  Personalized Prehospital Triage in Acute Ischemic Stroke.

Authors:  Esmee Venema; Hester F Lingsma; Vicky Chalos; Maxim J H L Mulder; Maarten M H Lahr; Aad van der Lugt; Adriaan C G M van Es; Ewout W Steyerberg; M G Myriam Hunink; Diederik W J Dippel; Bob Roozenbeek
Journal:  Stroke       Date:  2019-02       Impact factor: 7.914

10.  Safety of inter-hospital transfer of patients with acute ischemic stroke for evaluation of endovascular thrombectomy.

Authors:  Lars-Peder Pallesen; Simon Winzer; Kristian Barlinn; Alexandra Prakapenia; Timo Siepmann; Cosima Gruener; Johannes Gerber; Kevin Haedrich; Jennifer Linn; Jessica Barlinn; Volker Puetz
Journal:  Sci Rep       Date:  2020-03-27       Impact factor: 4.379

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