Literature DB >> 30327386

Futile inter-hospital transfer for mechanical thrombectomy in a semi-rural context: analysis of a 6-year prospective registry.

Denis Sablot1,2, Adrian Dumitrana1, Franck Leibinger3, Khaled Khlifa4, Bénédicte Fadat1, Geoffroy Farouil5, Thibaut Allou1, Francis Coll4, Julie Mas1, Philippe Smadja5, Adelaïde Ferraro-Allou1, Isabelle Mourand6, Anaïs Dutray1, Maxime Tardieu5, Snejana Jurici1, Jean-Marie Bonnec4, Nadège Olivier1, Sandra Cardini5, Frédérique Damon4, Laurène Van Damme1, Sabine Aptel5, Nicolas Gaillard1,6, Ana-Maria Marquez5, Ludovic Nguyen Them1, Majo Ibanez1, Caroline Arquizan6, Vincent Costalat7, Alain Bonafe5,7.   

Abstract

BACKGROUND AND
PURPOSE: Inter-hospital transfer for mechanical thrombectomy (MT) might result in the transfer of patients who finally will not undergo MT (ie, futile transfers [FT]). This study evaluated FT frequency in a primary stroke center (PSC) in a semi-rural area and at 156 km from the comprehensive stroke center (CSC).
METHODOLOGY: Retrospective analysis of data collected in a 6-year prospective registry concerning patients admitted to our PSC within 4.5 hours of acute ischemic stroke (AIS) symptom onset, with MR angiography indicating the presence of large vessel occlusion (LVO) without large cerebral infarction (DWI-ASPECT ≥5), and selected for transfer to the CSC to undergo MT. Futile transfer rate and reasons were determined, and the relevant time measures recorded.
RESULTS: Among the 529 patients screened for MT, 278 (52.6%) were transferred to the CSC. Futile transfer rate was 45% (n=125/278) and the three main reasons for FT were: clinical improvement and reperfusion on MRI on arrival at the CSC (58.4% of FT); clinical worsening and/or infarct growth (16.8%); and longer than expected inter-hospital transfer time (11.2%). Predictive factors of FT due to clinical improvement/reperfusion on MRI could not be identified. Baseline higher NIHSS (21 vs 17; P=0.01) and lower DWI-ASPECT score (5 vs 7; P=0.001) were associated with FT due to clinical worsening/infarct growth on MRI.
CONCLUSIONS: In our setting, 45% of transfers for MT were futile. None of the baseline factors could predict FT, but the initial symptom severity was associated with FT caused byclinical worsening/infarct growth. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  stroke; thrombectomy

Mesh:

Year:  2018        PMID: 30327386     DOI: 10.1136/neurintsurg-2018-014206

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  8 in total

1.  DWI-Based Algorithm to Predict Disability in Patients Treated with Thrombectomy for Acute Stroke.

Authors:  H Raoult; M V Lassalle; B Parat; C Rousseau; F Eugène; S Vannier; S Evain; A Le Bras; T Ronziere; J C Ferre; J Y Gauvrit; B Laviolle
Journal:  AJNR Am J Neuroradiol       Date:  2020-01-30       Impact factor: 3.825

2.  Multifactor Logistic Analysis to Explore the Risk Factors of Safety Risks in the Transport of Critically Ill Patients with ICU and the Improvement of Nursing Strategies.

Authors:  Zhenyu Zhang; Hui Qu; Wei Gong
Journal:  Comput Math Methods Med       Date:  2022-05-14       Impact factor: 2.809

3.  Inter-facility transfer for patients with acute large vessel occlusion stroke receiving mechanical thrombectomy.

Authors:  William L Scheving; Michael Froehler; Kimberly Hart; Candace D McNaughton; Michael J Ward
Journal:  Am J Emerg Med       Date:  2020-09-22       Impact factor: 2.469

4.  Relationship between primary stroke center volume and time to endovascular thrombectomy in acute ischemic stroke.

Authors:  Laura C C van Meenen; Sanne J den Hartog; Adrien E Groot; Bart J Emmer; Martin D Smeekes; Arjen Siegers; Geert Jan Kommer; Charles B L M Majoie; Yvo B W E M Roos; Adriaan C G M van Es; Diederik W Dippel; H Bart van der Worp; Hester F Lingsma; Bob Roozenbeek; Jonathan M Coutinho
Journal:  Eur J Neurol       Date:  2021-09-23       Impact factor: 6.288

5.  Early Lessons From World War COVID Reinventing Our Stroke Systems of Care.

Authors:  Sunil A Sheth; Tzu-Ching Wu; Anjail Sharrief; Christy Ankrom; James C Grotta; Marc Fisher; Sean I Savitz
Journal:  Stroke       Date:  2020-05-18       Impact factor: 7.914

6.  Optimizing Patient Selection for Interhospital Transfer and Endovascular Therapy in Acute Ischemic Stroke: Real-World Data From a Supraregional, Hub-and-Spoke Neurovascular Network in Germany.

Authors:  Maria-Ioanna Stefanou; Vera Stadler; Dominik Baku; Florian Hennersdorf; Ulrike Ernemann; Ulf Ziemann; Sven Poli; Annerose Mengel
Journal:  Front Neurol       Date:  2020-12-04       Impact factor: 4.003

7.  Early recanalization in large-vessel occlusion stroke patients transferred for endovascular treatment.

Authors:  Nerea Arrarte Terreros; Agnetha A E Bruggeman; Isabella S J Swijnenburg; Laura C C van Meenen; Adrien E Groot; Jonathan M Coutinho; Yvo B W E M Roos; Bart J Emmer; Ludo F M Beenen; Ed van Bavel; Henk A Marquering; Charles B L M Majoie
Journal:  J Neurointerv Surg       Date:  2021-05-13       Impact factor: 8.572

8.  Value of repeated imaging in patients with a stroke who are transferred for endovascular treatment.

Authors:  Laura C C van Meenen; Nerea Arrarte Terreros; Adrien E Groot; Manon Kappelhof; Ludo F M Beenen; Henk A Marquering; Bart J Emmer; Yvo B W E M Roos; Charles B L M Majoie; Jonathan M Coutinho
Journal:  J Neurointerv Surg       Date:  2021-03-08       Impact factor: 5.836

  8 in total

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