Literature DB >> 31847753

Validation of a Smartphone Application in the Evaluation and Treatment of Acute Stroke in a Comprehensive Stroke Center.

Sheila C O Martins1,2,3, Gustavo Weiss1,2,3, Andrea G Almeida1,2,3, Rosane Brondani1, Leonardo A Carbonera1,2,3, Ana Claudia de Souza1,2,3, Magda Carla O Martins1,3, Guilherme Nasi4, Luiz A Nasi5, Carlos Batista1,3, Fabrício B Sousa6, Márcio A B C Rockenbach6, Felipe M Gonçalves2, Leonardo M Vedolin2,7, Raul G Nogueira8.   

Abstract

Background and Purpose- The increasing demand and shortage of experts to evaluate and treat acute stroke patients has led to the development of remote communication tools to aid stroke management. We aimed to evaluate the JOIN App smartphone system-a low-cost tool for rapid clinical and neuroimaging data sharing to expedite decision-making in stroke. Methods- Consecutive acute ischemic stroke patients treated at a University Hospital in Brazil from December 2014 to December 2015 were evaluated. The analysis included all patients presenting with acute ischemic stroke who underwent initial evaluation by neurology residents followed by JOIN teleconsultation with a stroke neurologist on call for management decisions. An expert panel of stroke neurologists and neuroradiologists revised all cases using a standard Picture Archiving and Communication System imaging workstation within 24 hours and analyzed the decision made with remote assistance during the emergency setting. Results- A total of 720 stroke codes were evaluated with 442 acute ischemic stroke qualifying. Seventy-eight (18%) patients were treated with intravenous thrombolysis. The main reasons for tPA (tissue-type plasminogen activator) exclusion were symptom onset >4.5 hours (n=295; 67%) and hypodense middle cerebral artery territory area >1/3 (n=31; 7%). The agreement rates between Picture Archiving and Communication System versus JOIN-based thrombolysis decisions were 100% for the stroke (unblinded) and 99.3% for the neuroradiologist (blinded) experts. The use of the application resulted in a significant reduction in the door-to-needle times across the pre- versus postimplementation periods (median, 90 [interquartile range, 75-106] versus 63 [interquartile range, 61-117] minutes; P=0.03). The rates of 90-day excellent outcomes (modified Rankin Scale, 0-1) were 51.3%; 90-day mortality, 2.6%; and symptomatic intracranial hemorrhage, 3.8%. Conclusions- The JOIN smartphone system allows rapid sharing of clinical and imaging data to facilitate decisions for stroke treatment. The remote application-based decisions seem to be as accurate as the physical presence of stroke experts and might lead to faster times to treatment. This system represents an easily implementable low-cost telemedicine solution for centers that cannot afford the full-time presence of stroke specialists.

Entities:  

Keywords:  Brazil; decision-making; humans; stroke; telemedicine

Mesh:

Substances:

Year:  2019        PMID: 31847753     DOI: 10.1161/STROKEAHA.119.026727

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


  9 in total

Review 1.  Smartphone App in Stroke Management: A Narrative Updated Review.

Authors:  Adriano Bonura; Francesco Motolese; Fioravante Capone; Gianmarco Iaccarino; Michele Alessiani; Mario Ferrante; Rosalinda Calandrelli; Vincenzo Di Lazzaro; Fabio Pilato
Journal:  J Stroke       Date:  2022-09-30       Impact factor: 8.632

2.  Value Utilization of Emergency Medical Services Air Transport in Acute Ischemic Stroke.

Authors:  Amelia K Adcock; Joseph Minardi; Scott Findley; Deb Daniels; Michelle Large; Martha Power
Journal:  J Emerg Med       Date:  2020-10-01       Impact factor: 1.484

Review 3.  Stroke and digital technology: a wake-up call from COVID-19 pandemic.

Authors:  Francesco Iodice; Michele Romoli; Bruno Giometto; Marinella Clerico; Gioacchino Tedeschi; Simona Bonavita; Letizia Leocani; Luigi Lavorgna
Journal:  Neurol Sci       Date:  2021-01-12       Impact factor: 3.307

4.  A Smartphone Application as a Telemedicine Tool for Stroke Care Management.

Authors:  Hiroyuki Takao; Kenichiro Sakai; Hidetaka Mitsumura; Teppei Komatsu; Ichiro Yuki; Kohei Takeshita; Kenichi Sakuta; Toshihiro Ishibashi; Teppei Sakano; Yuchih Yeh; Kostadin Karagiozov; Marc Fisher; Yasuyuki Iguchi; Yuichi Murayama
Journal:  Neurol Med Chir (Tokyo)       Date:  2021-03-12       Impact factor: 1.742

Review 5.  Facilitators and Barriers to the Adoption of Telemedicine During the First Year of COVID-19: Systematic Review.

Authors:  Katharine Heinemann; Clemens Kruse
Journal:  J Med Internet Res       Date:  2022-01-04       Impact factor: 5.428

6.  Remote neuro-endovascular consultation using a secure telemedicine system: A feasibility study.

Authors:  Toshihiro Ishibashi; Shogo Kaku; Shota Sonoda; Yuichi Murayama
Journal:  Surg Neurol Int       Date:  2022-02-11

7.  Prehospital Notification Using a Mobile Application Can Improve Regional Stroke Care System in a Metropolitan Area.

Authors:  Sang-Hun Lee; Hyun Wook Ryoo; Sang-Chan Jin; Jae Yun Ahn; Sung-Il Sohn; Yang-Ha Hwang; Youngrok Do; Yoon-Soo Lee; Jung Ho Kim
Journal:  J Korean Med Sci       Date:  2021-12-13       Impact factor: 2.153

8.  Validation of a cloud-based tele-stroke system reliability in determining national institutes of health stroke scale scores for acute ischemic stroke screening in the emergency department.

Authors:  Mor Saban; Anner Moskovitz; Sona Ohanyan; Anna Reznik; Marc Ribo; Rotem Sivan-Hoffmann
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

9.  Development and Validation of a LASSO Prediction Model for Better Identification of Ischemic Stroke: A Case-Control Study in China.

Authors:  Zirui Meng; Minjin Wang; Shuo Guo; Yanbing Zhou; Mingxue Zheng; Miaonan Liu; Yongyu Chen; Zhumiao Yang; Bi Zhao; Binwu Ying
Journal:  Front Aging Neurosci       Date:  2021-07-08       Impact factor: 5.750

  9 in total

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