Literature DB >> 31735142

Modeling the Optimal Transportation for Acute Stroke Treatment: The Impact of the Drip-and-Drive Paradigm.

Marielle Ernst1, Eckhard Schlemm2, Jessalyn K Holodinsky3, Noreen Kamal4, Götz Thomalla2, Jens Fiehler1, Caspar Brekenfeld1.   

Abstract

Background and Purpose- Health systems are faced with the challenge of ensuring fast access to appropriate therapy for patients with acute stroke. The paradigms primarily discussed are mothership and drip and ship. Less attention has been focused on the drip-and-drive (DD) paradigm. Our aim was to analyze whether and under what conditions DD would predict the greatest probability of good outcome for patients with suspected ischemic stroke in Northwestern Germany. Methods- Conditional probability models based on the decay curves for endovascular therapy and intravenous thrombolysis were created to determine the best transport paradigm, and results were displayed using map visualizations. Our study area consisted of the federal states of Lower Saxony, Hamburg, and Schleswig-Holstein in Northwestern Germany covering an area of 64 065 km2 with a population of 12 703 561 in 2017 (198 persons per km2). In several scenarios, the catchment area, that is, the region that would result in the greatest probability of good outcomes, was calculated for each of the mothership, drip-and-ship, and the DD paradigms. Several different treatment time parameters were varied including onset-to-first-medical-response time, ambulance-on-scene time, door-to-needle time at primary stroke center, needle-to-door time, door-to-needle time at comprehensive stroke center, door-to-groin-puncture time, needle-to-interventionalist-leave time, and interventionalist-arrival-to-groin-puncture time. Results- The mothership paradigm had the largest catchment area; however, the DD catchment area was larger than the drip-and-ship catchment area so long as the needle-to-interventionalist-leave time and the interventionalist-arrival-to-groin-puncture time remain <40 minutes each. A slowed workflow in the DD paradigm resulted in a decrease of the DD catchment area to 1221 km2 (2%). Conclusions- Our study suggests the largest catchment area for the mothership paradigm and a larger catchment area of DD paradigm compared with the drip-and-ship paradigm in Northwestern Germany in most scenarios. The existence of different paradigms allows the spread of capacities, shares the cost and hospital income, and gives primary stroke centers the possibility to provide endovascular therapy services 24/7.

Entities:  

Keywords:  humans; probability; stroke; triage; workflow

Mesh:

Year:  2019        PMID: 31735142     DOI: 10.1161/STROKEAHA.119.027493

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


  4 in total

1.  A European Perspective on the German System for Thrombectomy in Stroke Patients.

Authors:  Aymeric Rouchaud; Mohammed Aggour; Elisa Ciceri; Mario Martínez-Galdámez; Anne-Christine Januel; Vladimir Kalousek; Zsolt Kulcsár; Kirill Orlov; Jens Fiehler
Journal:  Clin Neuroradiol       Date:  2021-03-09       Impact factor: 3.649

2.  Modeling the Optimal Transportation for Acute Stroke Treatment : Impact of Diurnal Variations in Traffic Rate.

Authors:  Marielle Ernst; Marios-Nikos Psychogios; Eckhard Schlemm; Jessalyn K Holodinsky; Noreen Kamal; Thomas Rodt; Henning Henningsen; Christoffer Kraemer; Götz Thomalla; Jens Fiehler; Caspar Brekenfeld
Journal:  Clin Neuroradiol       Date:  2020-07-16       Impact factor: 3.649

3.  Drip-and-ship toward mothership model for mechanical thrombectomy during COVID-19 pandemic: a retrospective analysis.

Authors:  Matteo Paolucci; Sara Biguzzi; Francesco Cordici; Michele Romoli; Mattia Altini; Vanni Agnoletti; Andrea Fabbri; Raffaella Francesconi; Maurizio Menarini; Tiziana Perin; Maria Ruggiero; Marco Longoni
Journal:  Neurol Sci       Date:  2022-01-31       Impact factor: 3.307

4.  Prehospital Triage Strategies for the Transportation of Suspected Stroke Patients in the United States.

Authors:  Esmee Venema; James F Burke; Bob Roozenbeek; Jason Nelson; Hester F Lingsma; Diederik W J Dippel; David M Kent
Journal:  Stroke       Date:  2020-10-07       Impact factor: 7.914

  4 in total

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