Cargando…
The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department
BACKGROUND: Early identification of patients with an emergent large vessel occlusion (ELVO) ischemic stroke is crucial in the Emergency Department (ED), as they are the ideal candidates for endovascular therapy. With this study, we have attempted to use Vision, Aphasia, Neglect (VAN) screening tool...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Jaypee Brothers Medical Publishers
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369322/ https://www.ncbi.nlm.nih.gov/pubmed/37502295 http://dx.doi.org/10.5005/jp-journals-10071-24485 |
_version_ | 1785077736289599488 |
---|---|
author | Krishnan, Aishwarya Srinivasarangan, Madhu Jagadish, Sriharsha Bheemanna, Adarsh Singarahalli Sivasankar, Abhijith |
author_facet | Krishnan, Aishwarya Srinivasarangan, Madhu Jagadish, Sriharsha Bheemanna, Adarsh Singarahalli Sivasankar, Abhijith |
author_sort | Krishnan, Aishwarya |
collection | PubMed |
description | BACKGROUND: Early identification of patients with an emergent large vessel occlusion (ELVO) ischemic stroke is crucial in the Emergency Department (ED), as they are the ideal candidates for endovascular therapy. With this study, we have attempted to use Vision, Aphasia, Neglect (VAN) screening tool in the ED for rapid identification of ELVO ischemic stroke and compared its performance with the National Institute of Health Stroke Severity (NIHSS) scale. MATERIALS AND METHODS: A prospective observational study was conducted in the ED of a tertiary care hospital over 18 months among all suspected stroke patients. Vision, aphasia, neglect and NIHSS scores were calculated on arrival. Magnetic resonance imaging + magnetic resonance angiography (MRI + MRA) were taken as gold standard. RESULTS: This study found that VAN identified ELVO with 85.19% sensitivity (p-value < 0.0001), 88.64% specificity (p-value < 0.0001), and 87% diagnostic accuracy, with respect to the gold standard test. Vision, aphasia, neglect had a positive predictive value (PPV) and negative predictive value (NPV) of 82.14% and 90.7%, respectively. Time taken to perform VAN score in the ED was on average 2 minutes. National Institute of Health Stroke Severity detected ELVO with a sensitivity of 88%, specificity of 51.11%, a PPV of 53.33%, and a NPV of 88.4%. Diagnostic accuracy was 66%, and it took approximately 5 minutes to perform. When both scores were applied together for ELVO detection, NPV was 100%. CONCLUSION: Vision, Aphasia, Neglect score as well as NIHSS scale are both tools for clinical prediction of ELVO with VAN having a better diagnostic accuracy and utility as a screening tool in the ED. HOW TO CITE THIS ARTICLE: Krishnan A, Srinivasarangan M, Jagadish S, Bheemanna AS, Sivasankar A. The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department. Indian J Crit Care Med 2023;27(7):475–481. |
format | Online Article Text |
id | pubmed-10369322 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Jaypee Brothers Medical Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-103693222023-07-27 The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department Krishnan, Aishwarya Srinivasarangan, Madhu Jagadish, Sriharsha Bheemanna, Adarsh Singarahalli Sivasankar, Abhijith Indian J Crit Care Med Original Article BACKGROUND: Early identification of patients with an emergent large vessel occlusion (ELVO) ischemic stroke is crucial in the Emergency Department (ED), as they are the ideal candidates for endovascular therapy. With this study, we have attempted to use Vision, Aphasia, Neglect (VAN) screening tool in the ED for rapid identification of ELVO ischemic stroke and compared its performance with the National Institute of Health Stroke Severity (NIHSS) scale. MATERIALS AND METHODS: A prospective observational study was conducted in the ED of a tertiary care hospital over 18 months among all suspected stroke patients. Vision, aphasia, neglect and NIHSS scores were calculated on arrival. Magnetic resonance imaging + magnetic resonance angiography (MRI + MRA) were taken as gold standard. RESULTS: This study found that VAN identified ELVO with 85.19% sensitivity (p-value < 0.0001), 88.64% specificity (p-value < 0.0001), and 87% diagnostic accuracy, with respect to the gold standard test. Vision, aphasia, neglect had a positive predictive value (PPV) and negative predictive value (NPV) of 82.14% and 90.7%, respectively. Time taken to perform VAN score in the ED was on average 2 minutes. National Institute of Health Stroke Severity detected ELVO with a sensitivity of 88%, specificity of 51.11%, a PPV of 53.33%, and a NPV of 88.4%. Diagnostic accuracy was 66%, and it took approximately 5 minutes to perform. When both scores were applied together for ELVO detection, NPV was 100%. CONCLUSION: Vision, Aphasia, Neglect score as well as NIHSS scale are both tools for clinical prediction of ELVO with VAN having a better diagnostic accuracy and utility as a screening tool in the ED. HOW TO CITE THIS ARTICLE: Krishnan A, Srinivasarangan M, Jagadish S, Bheemanna AS, Sivasankar A. The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department. Indian J Crit Care Med 2023;27(7):475–481. Jaypee Brothers Medical Publishers 2023-07 /pmc/articles/PMC10369322/ /pubmed/37502295 http://dx.doi.org/10.5005/jp-journals-10071-24485 Text en Copyright © 2023; The Author(s). https://creativecommons.org/licenses/by-nc/4.0/© The Author(s). 2023 Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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. |
spellingShingle | Original Article Krishnan, Aishwarya Srinivasarangan, Madhu Jagadish, Sriharsha Bheemanna, Adarsh Singarahalli Sivasankar, Abhijith The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title | The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title_full | The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title_fullStr | The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title_full_unstemmed | The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title_short | The Efficacy of Vision, Aphasia, Neglect Assessment in Predicting Emergent Large Vessel Occlusion in Patients Presenting with a Cerebrovascular Accident to the Emergency Department |
title_sort | efficacy of vision, aphasia, neglect assessment in predicting emergent large vessel occlusion in patients presenting with a cerebrovascular accident to the emergency department |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369322/ https://www.ncbi.nlm.nih.gov/pubmed/37502295 http://dx.doi.org/10.5005/jp-journals-10071-24485 |
work_keys_str_mv | AT krishnanaishwarya theefficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT srinivasaranganmadhu theefficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT jagadishsriharsha theefficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT bheemannaadarshsingarahalli theefficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT sivasankarabhijith theefficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT krishnanaishwarya efficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT srinivasaranganmadhu efficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT jagadishsriharsha efficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT bheemannaadarshsingarahalli efficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment AT sivasankarabhijith efficacyofvisionaphasianeglectassessmentinpredictingemergentlargevesselocclusioninpatientspresentingwithacerebrovascularaccidenttotheemergencydepartment |