Cargando…

The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas

Rapid endovascular thrombectomy, which can only be delivered in specialist centres, is the most effective treatment for acute ischaemic stroke due to large vessel occlusion (LVO). Pre-hospital selection of these patients is challenging, especially in remote and rural areas due to long transport time...

Descripción completa

Detalles Bibliográficos
Autores principales: Antipova, Daria, Eadie, Leila, Makin, Stephen, Shannon, Helen, Wilson, Philip, Macaden, Ashish
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531787/
https://www.ncbi.nlm.nih.gov/pubmed/33007053
http://dx.doi.org/10.1371/journal.pone.0239653
_version_ 1783589796600348672
author Antipova, Daria
Eadie, Leila
Makin, Stephen
Shannon, Helen
Wilson, Philip
Macaden, Ashish
author_facet Antipova, Daria
Eadie, Leila
Makin, Stephen
Shannon, Helen
Wilson, Philip
Macaden, Ashish
author_sort Antipova, Daria
collection PubMed
description Rapid endovascular thrombectomy, which can only be delivered in specialist centres, is the most effective treatment for acute ischaemic stroke due to large vessel occlusion (LVO). Pre-hospital selection of these patients is challenging, especially in remote and rural areas due to long transport times and limited access to specialist clinicians and diagnostic facilities. We investigated whether combined transcranial ultrasound and clinical assessment (“TUCA” model) could accurately triage these patients and improve access to thrombectomy. We recruited consecutive patients within 72 hours of suspected stroke, and performed non-contrast transcranial colour-coded ultrasonography within 24 hours of brain computed tomography. We retrospectively collected clinical information, and used hospital discharge diagnosis as the “gold standard”. We used binary regression for diagnosis of haemorrhagic stroke, and an ordinal regression model for acute ischaemic stroke with probable LVO, without LVO, transient ischaemic attacks (TIA) and stroke mimics. We calculated sensitivity, specificity, positive and negative predictive values and performed a sensitivity analysis. We recruited 107 patients with suspected stroke from July 2017 to December 2019 at two study sites: 13/107 (12%) with probable LVO, 50/107 (47%) with acute ischaemic stroke without LVO, 18/107 (17%) with haemorrhagic stroke, and 26/107 (24%) with stroke mimics or TIA. The model identified 55% of cases with probable LVO who would have correctly been selected for thrombectomy and 97% of cases who would not have required this treatment (sensitivity 55%, specificity 97%, positive and negative predictive values 75% and 93%, respectively). Diagnostic accuracy of the proposed model was superior to the clinical assessment alone. These data suggest that our model might be a useful tool to identify pre-hospital patients requiring mechanical thrombectomy, however a larger sample is required with the use of CT angiogram as a reference test.
format Online
Article
Text
id pubmed-7531787
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-75317872020-10-08 The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas Antipova, Daria Eadie, Leila Makin, Stephen Shannon, Helen Wilson, Philip Macaden, Ashish PLoS One Research Article Rapid endovascular thrombectomy, which can only be delivered in specialist centres, is the most effective treatment for acute ischaemic stroke due to large vessel occlusion (LVO). Pre-hospital selection of these patients is challenging, especially in remote and rural areas due to long transport times and limited access to specialist clinicians and diagnostic facilities. We investigated whether combined transcranial ultrasound and clinical assessment (“TUCA” model) could accurately triage these patients and improve access to thrombectomy. We recruited consecutive patients within 72 hours of suspected stroke, and performed non-contrast transcranial colour-coded ultrasonography within 24 hours of brain computed tomography. We retrospectively collected clinical information, and used hospital discharge diagnosis as the “gold standard”. We used binary regression for diagnosis of haemorrhagic stroke, and an ordinal regression model for acute ischaemic stroke with probable LVO, without LVO, transient ischaemic attacks (TIA) and stroke mimics. We calculated sensitivity, specificity, positive and negative predictive values and performed a sensitivity analysis. We recruited 107 patients with suspected stroke from July 2017 to December 2019 at two study sites: 13/107 (12%) with probable LVO, 50/107 (47%) with acute ischaemic stroke without LVO, 18/107 (17%) with haemorrhagic stroke, and 26/107 (24%) with stroke mimics or TIA. The model identified 55% of cases with probable LVO who would have correctly been selected for thrombectomy and 97% of cases who would not have required this treatment (sensitivity 55%, specificity 97%, positive and negative predictive values 75% and 93%, respectively). Diagnostic accuracy of the proposed model was superior to the clinical assessment alone. These data suggest that our model might be a useful tool to identify pre-hospital patients requiring mechanical thrombectomy, however a larger sample is required with the use of CT angiogram as a reference test. Public Library of Science 2020-10-02 /pmc/articles/PMC7531787/ /pubmed/33007053 http://dx.doi.org/10.1371/journal.pone.0239653 Text en © 2020 Antipova et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Antipova, Daria
Eadie, Leila
Makin, Stephen
Shannon, Helen
Wilson, Philip
Macaden, Ashish
The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title_full The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title_fullStr The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title_full_unstemmed The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title_short The use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
title_sort use of transcranial ultrasound and clinical assessment to diagnose ischaemic stroke due to large vessel occlusion in remote and rural areas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531787/
https://www.ncbi.nlm.nih.gov/pubmed/33007053
http://dx.doi.org/10.1371/journal.pone.0239653
work_keys_str_mv AT antipovadaria theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT eadieleila theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT makinstephen theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT shannonhelen theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT wilsonphilip theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT macadenashish theuseoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT antipovadaria useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT eadieleila useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT makinstephen useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT shannonhelen useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT wilsonphilip useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas
AT macadenashish useoftranscranialultrasoundandclinicalassessmenttodiagnoseischaemicstrokeduetolargevesselocclusioninremoteandruralareas