Impact of Smartphone Applications on Timing of Endovascular Therapy for Ischemic Stroke: A Preliminary Study
The metrics of imaging-to-puncture and imaging-to-reperfusion were recently found to be associated with the clinical outcomes of endovascular thrombectomy for acute ischemic stroke. However, measures for improving workflow within hospitals to achieve better timing results are largely unexplored for...
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Published in | World neurosurgery Vol. 107; pp. 678 - 683 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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United States
Elsevier Inc
01.11.2017
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Online Access | Get full text |
ISSN | 1878-8750 1878-8769 1878-8769 |
DOI | 10.1016/j.wneu.2017.08.042 |
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Abstract | The metrics of imaging-to-puncture and imaging-to-reperfusion were recently found to be associated with the clinical outcomes of endovascular thrombectomy for acute ischemic stroke. However, measures for improving workflow within hospitals to achieve better timing results are largely unexplored for endovascular therapy. The aim of this study was to examine our experience with a novel smartphone application developed in house to improve our timing metrics for endovascular treatment.
We developed an encrypted smartphone application connecting all stroke team members to expedite conversations and to provide synchronized real-time updates on the time window from stroke onset to imaging and to puncture. The effects of the application on the timing of endovascular therapy were evaluated with a secondary analysis of our single-center cohort. Our primary outcome was imaging-to-puncture time. We assessed the outcomes with nonparametric tests of statistical significance.
Forty-five patients met our criteria for analysis among 66 consecutive patients with acute ischemic stroke who received endovascular therapy at our institution. After the implementation of the smartphone application, imaging-to-puncture time was significantly reduced (preapplication median time, 127 minutes; postapplication time, 69 minutes; P < 0.001). Puncture-to-reperfusion time was not affected by the application use (42 minutes vs. 36 minutes).
The use of smartphone applications may reduce treatment times for endovascular therapy in acute ischemic stroke. Further studies are needed to confirm our findings. |
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AbstractList | The metrics of imaging-to-puncture and imaging-to-reperfusion were recently found to be associated with the clinical outcomes of endovascular thrombectomy for acute ischemic stroke. However, measures for improving workflow within hospitals to achieve better timing results are largely unexplored for endovascular therapy. The aim of this study was to examine our experience with a novel smartphone application developed in house to improve our timing metrics for endovascular treatment.BACKGROUNDThe metrics of imaging-to-puncture and imaging-to-reperfusion were recently found to be associated with the clinical outcomes of endovascular thrombectomy for acute ischemic stroke. However, measures for improving workflow within hospitals to achieve better timing results are largely unexplored for endovascular therapy. The aim of this study was to examine our experience with a novel smartphone application developed in house to improve our timing metrics for endovascular treatment.We developed an encrypted smartphone application connecting all stroke team members to expedite conversations and to provide synchronized real-time updates on the time window from stroke onset to imaging and to puncture. The effects of the application on the timing of endovascular therapy were evaluated with a secondary analysis of our single-center cohort. Our primary outcome was imaging-to-puncture time. We assessed the outcomes with nonparametric tests of statistical significance.METHODSWe developed an encrypted smartphone application connecting all stroke team members to expedite conversations and to provide synchronized real-time updates on the time window from stroke onset to imaging and to puncture. The effects of the application on the timing of endovascular therapy were evaluated with a secondary analysis of our single-center cohort. Our primary outcome was imaging-to-puncture time. We assessed the outcomes with nonparametric tests of statistical significance.Forty-five patients met our criteria for analysis among 66 consecutive patients with acute ischemic stroke who received endovascular therapy at our institution. After the implementation of the smartphone application, imaging-to-puncture time was significantly reduced (preapplication median time, 127 minutes; postapplication time, 69 minutes; P < 0.001). Puncture-to-reperfusion time was not affected by the application use (42 minutes vs. 36 minutes).RESULTSForty-five patients met our criteria for analysis among 66 consecutive patients with acute ischemic stroke who received endovascular therapy at our institution. After the implementation of the smartphone application, imaging-to-puncture time was significantly reduced (preapplication median time, 127 minutes; postapplication time, 69 minutes; P < 0.001). Puncture-to-reperfusion time was not affected by the application use (42 minutes vs. 36 minutes).The use of smartphone applications may reduce treatment times for endovascular therapy in acute ischemic stroke. Further studies are needed to confirm our findings.CONCLUSIONThe use of smartphone applications may reduce treatment times for endovascular therapy in acute ischemic stroke. Further studies are needed to confirm our findings. The metrics of imaging-to-puncture and imaging-to-reperfusion were recently found to be associated with the clinical outcomes of endovascular thrombectomy for acute ischemic stroke. However, measures for improving workflow within hospitals to achieve better timing results are largely unexplored for endovascular therapy. The aim of this study was to examine our experience with a novel smartphone application developed in house to improve our timing metrics for endovascular treatment. We developed an encrypted smartphone application connecting all stroke team members to expedite conversations and to provide synchronized real-time updates on the time window from stroke onset to imaging and to puncture. The effects of the application on the timing of endovascular therapy were evaluated with a secondary analysis of our single-center cohort. Our primary outcome was imaging-to-puncture time. We assessed the outcomes with nonparametric tests of statistical significance. Forty-five patients met our criteria for analysis among 66 consecutive patients with acute ischemic stroke who received endovascular therapy at our institution. After the implementation of the smartphone application, imaging-to-puncture time was significantly reduced (preapplication median time, 127 minutes; postapplication time, 69 minutes; P < 0.001). Puncture-to-reperfusion time was not affected by the application use (42 minutes vs. 36 minutes). The use of smartphone applications may reduce treatment times for endovascular therapy in acute ischemic stroke. Further studies are needed to confirm our findings. |
Author | Howard, Peter Lu, Michael Swartz, Richard H. Gupta, Shaurya Nathens, Avery B. Yang, Victor X.D. Sarzetto, Francesca Guha, Daipayan da Costa, Leodante Alotaibi, Naif M. Dyer, Erin Bodo, Andre Boyle, Karl |
Author_xml | – sequence: 1 givenname: Naif M. surname: Alotaibi fullname: Alotaibi, Naif M. organization: Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada – sequence: 2 givenname: Francesca surname: Sarzetto fullname: Sarzetto, Francesca organization: Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada – sequence: 3 givenname: Daipayan surname: Guha fullname: Guha, Daipayan organization: Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada – sequence: 4 givenname: Michael surname: Lu fullname: Lu, Michael organization: Biophotonics and Bioengineering Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 5 givenname: Andre surname: Bodo fullname: Bodo, Andre organization: Biophotonics and Bioengineering Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 6 givenname: Shaurya surname: Gupta fullname: Gupta, Shaurya organization: Biophotonics and Bioengineering Laboratory, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 7 givenname: Erin surname: Dyer fullname: Dyer, Erin organization: Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 8 givenname: Peter surname: Howard fullname: Howard, Peter organization: Department of Radiology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 9 givenname: Leodante surname: da Costa fullname: da Costa, Leodante organization: Division of Neurosurgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 10 givenname: Richard H. surname: Swartz fullname: Swartz, Richard H. organization: Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 11 givenname: Karl surname: Boyle fullname: Boyle, Karl organization: Division of Neurology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 12 givenname: Avery B. surname: Nathens fullname: Nathens, Avery B. organization: Department of Surgery, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada – sequence: 13 givenname: Victor X.D. surname: Yang fullname: Yang, Victor X.D. email: Victor.Yang@sunnybrook.ca organization: Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada |
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Cites_doi | 10.1001/jama.2015.13767 10.1001/jama.2016.13647 10.1212/WNL.0b013e31829e0fdd 10.1016/j.wneu.2016.12.054 10.1161/CIR.0000000000000428 10.1001/jama.2014.2850 10.1016/j.jstrokecerebrovasdis.2015.12.001 10.1161/CIRCULATIONAHA.115.019983 10.1177/1941874414564982 10.1111/ijs.12501 10.1161/STROKEAHA.111.000399 10.3988/jcn.2015.11.2.142 |
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Title | Impact of Smartphone Applications on Timing of Endovascular Therapy for Ischemic Stroke: A Preliminary Study |
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