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Portable stroke detection devices: a systematic scoping review of prehospital applications
BACKGROUND: The worldwide burden of stroke remains high, with increasing time-to-treatment correlated with worse outcomes. Yet stroke subtype determination, most importantly between stroke/non-stroke and ischemic/hemorrhagic stroke, is not confirmed until hospital CT diagnosis, resulting in suboptim...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204948/ https://www.ncbi.nlm.nih.gov/pubmed/35710360 http://dx.doi.org/10.1186/s12873-022-00663-z |
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author | Chennareddy, Susmita Kalagara, Roshini Smith, Colton Matsoukas, Stavros Bhimani, Abhiraj Liang, John Shapiro, Steven De Leacy, Reade Mokin, Maxim Fifi, Johanna T. Mocco, J Kellner, Christopher P. |
author_facet | Chennareddy, Susmita Kalagara, Roshini Smith, Colton Matsoukas, Stavros Bhimani, Abhiraj Liang, John Shapiro, Steven De Leacy, Reade Mokin, Maxim Fifi, Johanna T. Mocco, J Kellner, Christopher P. |
author_sort | Chennareddy, Susmita |
collection | PubMed |
description | BACKGROUND: The worldwide burden of stroke remains high, with increasing time-to-treatment correlated with worse outcomes. Yet stroke subtype determination, most importantly between stroke/non-stroke and ischemic/hemorrhagic stroke, is not confirmed until hospital CT diagnosis, resulting in suboptimal prehospital triage and delayed treatment. In this study, we survey portable, non-invasive diagnostic technologies that could streamline triage by making this initial determination of stroke type, thereby reducing time-to-treatment. METHODS: Following PRISMA guidelines, we performed a scoping review of portable stroke diagnostic devices. The search was executed in PubMed and Scopus, and all studies testing technology for the detection of stroke or intracranial hemorrhage were eligible for inclusion. Extracted data included type of technology, location, feasibility, time to results, and diagnostic accuracy. RESULTS: After a screening of 296 studies, 16 papers were selected for inclusion. Studied devices utilized various types of diagnostic technology, including near-infrared spectroscopy (6), ultrasound (4), electroencephalography (4), microwave technology (1), and volumetric impedance spectroscopy (1). Three devices were tested prior to hospital arrival, 6 were tested in the emergency department, and 7 were tested in unspecified hospital settings. Median measurement time was 3 minutes (IQR: 3 minutes to 5.6 minutes). Several technologies showed high diagnostic accuracy in severe stroke and intracranial hematoma detection. CONCLUSION: Numerous emerging portable technologies have been reported to detect and stratify stroke to potentially improve prehospital triage. However, the majority of these current technologies are still in development and utilize a variety of accuracy metrics, making inter-technology comparisons difficult. Standardizing evaluation of diagnostic accuracy may be helpful in further optimizing portable stroke detection technology for clinical use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-022-00663-z. |
format | Online Article Text |
id | pubmed-9204948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-92049482022-06-18 Portable stroke detection devices: a systematic scoping review of prehospital applications Chennareddy, Susmita Kalagara, Roshini Smith, Colton Matsoukas, Stavros Bhimani, Abhiraj Liang, John Shapiro, Steven De Leacy, Reade Mokin, Maxim Fifi, Johanna T. Mocco, J Kellner, Christopher P. BMC Emerg Med Research BACKGROUND: The worldwide burden of stroke remains high, with increasing time-to-treatment correlated with worse outcomes. Yet stroke subtype determination, most importantly between stroke/non-stroke and ischemic/hemorrhagic stroke, is not confirmed until hospital CT diagnosis, resulting in suboptimal prehospital triage and delayed treatment. In this study, we survey portable, non-invasive diagnostic technologies that could streamline triage by making this initial determination of stroke type, thereby reducing time-to-treatment. METHODS: Following PRISMA guidelines, we performed a scoping review of portable stroke diagnostic devices. The search was executed in PubMed and Scopus, and all studies testing technology for the detection of stroke or intracranial hemorrhage were eligible for inclusion. Extracted data included type of technology, location, feasibility, time to results, and diagnostic accuracy. RESULTS: After a screening of 296 studies, 16 papers were selected for inclusion. Studied devices utilized various types of diagnostic technology, including near-infrared spectroscopy (6), ultrasound (4), electroencephalography (4), microwave technology (1), and volumetric impedance spectroscopy (1). Three devices were tested prior to hospital arrival, 6 were tested in the emergency department, and 7 were tested in unspecified hospital settings. Median measurement time was 3 minutes (IQR: 3 minutes to 5.6 minutes). Several technologies showed high diagnostic accuracy in severe stroke and intracranial hematoma detection. CONCLUSION: Numerous emerging portable technologies have been reported to detect and stratify stroke to potentially improve prehospital triage. However, the majority of these current technologies are still in development and utilize a variety of accuracy metrics, making inter-technology comparisons difficult. Standardizing evaluation of diagnostic accuracy may be helpful in further optimizing portable stroke detection technology for clinical use. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-022-00663-z. BioMed Central 2022-06-16 /pmc/articles/PMC9204948/ /pubmed/35710360 http://dx.doi.org/10.1186/s12873-022-00663-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chennareddy, Susmita Kalagara, Roshini Smith, Colton Matsoukas, Stavros Bhimani, Abhiraj Liang, John Shapiro, Steven De Leacy, Reade Mokin, Maxim Fifi, Johanna T. Mocco, J Kellner, Christopher P. Portable stroke detection devices: a systematic scoping review of prehospital applications |
title | Portable stroke detection devices: a systematic scoping review of prehospital applications |
title_full | Portable stroke detection devices: a systematic scoping review of prehospital applications |
title_fullStr | Portable stroke detection devices: a systematic scoping review of prehospital applications |
title_full_unstemmed | Portable stroke detection devices: a systematic scoping review of prehospital applications |
title_short | Portable stroke detection devices: a systematic scoping review of prehospital applications |
title_sort | portable stroke detection devices: a systematic scoping review of prehospital applications |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9204948/ https://www.ncbi.nlm.nih.gov/pubmed/35710360 http://dx.doi.org/10.1186/s12873-022-00663-z |
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