Cargando…
Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients
Cervical and transcranial Doppler (TCD) are widely used as non-invasive methods in the evaluation of acute ischemic stroke (AIS) patients. High-grade carotid artery stenosis induces haemodynamic changes such as collateral flow and a so-called post-stenotic flow pattern of the middle cerebral artery...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554045/ https://www.ncbi.nlm.nih.gov/pubmed/33051499 http://dx.doi.org/10.1038/s41598-020-74056-2 |
_version_ | 1783593731665952768 |
---|---|
author | Bill, Olivier Lambrou, Dimitris Sotomayor, Guillermo Toledo Meyer, Ivo Michel, Patrik Moreira, Tiago Niederhauser, Julien Hirt, Lorenz |
author_facet | Bill, Olivier Lambrou, Dimitris Sotomayor, Guillermo Toledo Meyer, Ivo Michel, Patrik Moreira, Tiago Niederhauser, Julien Hirt, Lorenz |
author_sort | Bill, Olivier |
collection | PubMed |
description | Cervical and transcranial Doppler (TCD) are widely used as non-invasive methods in the evaluation of acute ischemic stroke (AIS) patients. High-grade carotid artery stenosis induces haemodynamic changes such as collateral flow and a so-called post-stenotic flow pattern of the middle cerebral artery (MCA), which appears flattened, with a reduction of the velocity difference between systole and diastole. We studied the influence of carotid artery stenosis and other variables on the flow pattern in the MCA using the pulsatility index (PI), a quantitative TCD parameter reflecting the flow spectrum in a large of cohort AIS patients. We performed ultrasound examinations of 1825 AIS patients at the CHUV from October 2004 to December 2014. We extracted patient characteristics from the ASTRAL registry. Carotid stenosis severity was classified as < 50%, 50–70%, 70–90% and > 90%, or occlusion, according to Doppler velocity criteria. We first determined variables associated with stenosis grade. Then we performed a multivariate analysis after adjusting for baseline differences, using MCA PI as dependent variable. Carotid stenosis > 70% (− 0.07) and carotid stenosis > 90%, or occlusion (− 0.14) and left side (− 0.02) are associated with lower MCA PI values. Age (+0.006 PI units per decade), diabetes (+0.07), acute ischemic changes on initial CT (+0.03) and severe plaque morphology (+0.18) are associated with higher MCA PI values. We found a number of clinical and radiological conditions that significantly influence the PI of the MCA, including high-grade ipsilateral carotid stenosis in AIS patients. We provide for the first time a quantitative evaluation of the effect of these influencing factors from a large cohort of AIS patients. |
format | Online Article Text |
id | pubmed-7554045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75540452020-10-14 Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients Bill, Olivier Lambrou, Dimitris Sotomayor, Guillermo Toledo Meyer, Ivo Michel, Patrik Moreira, Tiago Niederhauser, Julien Hirt, Lorenz Sci Rep Article Cervical and transcranial Doppler (TCD) are widely used as non-invasive methods in the evaluation of acute ischemic stroke (AIS) patients. High-grade carotid artery stenosis induces haemodynamic changes such as collateral flow and a so-called post-stenotic flow pattern of the middle cerebral artery (MCA), which appears flattened, with a reduction of the velocity difference between systole and diastole. We studied the influence of carotid artery stenosis and other variables on the flow pattern in the MCA using the pulsatility index (PI), a quantitative TCD parameter reflecting the flow spectrum in a large of cohort AIS patients. We performed ultrasound examinations of 1825 AIS patients at the CHUV from October 2004 to December 2014. We extracted patient characteristics from the ASTRAL registry. Carotid stenosis severity was classified as < 50%, 50–70%, 70–90% and > 90%, or occlusion, according to Doppler velocity criteria. We first determined variables associated with stenosis grade. Then we performed a multivariate analysis after adjusting for baseline differences, using MCA PI as dependent variable. Carotid stenosis > 70% (− 0.07) and carotid stenosis > 90%, or occlusion (− 0.14) and left side (− 0.02) are associated with lower MCA PI values. Age (+0.006 PI units per decade), diabetes (+0.07), acute ischemic changes on initial CT (+0.03) and severe plaque morphology (+0.18) are associated with higher MCA PI values. We found a number of clinical and radiological conditions that significantly influence the PI of the MCA, including high-grade ipsilateral carotid stenosis in AIS patients. We provide for the first time a quantitative evaluation of the effect of these influencing factors from a large cohort of AIS patients. Nature Publishing Group UK 2020-10-13 /pmc/articles/PMC7554045/ /pubmed/33051499 http://dx.doi.org/10.1038/s41598-020-74056-2 Text en © The Author(s) 2020 Open Access This 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/. |
spellingShingle | Article Bill, Olivier Lambrou, Dimitris Sotomayor, Guillermo Toledo Meyer, Ivo Michel, Patrik Moreira, Tiago Niederhauser, Julien Hirt, Lorenz Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title | Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title_full | Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title_fullStr | Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title_full_unstemmed | Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title_short | Predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
title_sort | predictors of the pulsatility index in the middle cerebral artery of acute stroke patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7554045/ https://www.ncbi.nlm.nih.gov/pubmed/33051499 http://dx.doi.org/10.1038/s41598-020-74056-2 |
work_keys_str_mv | AT billolivier predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT lambroudimitris predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT sotomayorguillermotoledo predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT meyerivo predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT michelpatrik predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT moreiratiago predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT niederhauserjulien predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients AT hirtlorenz predictorsofthepulsatilityindexinthemiddlecerebralarteryofacutestrokepatients |