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Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack

OBJECTIVE: Predicting the prognosis of transient ischaemic attack (TIA) is difficult for many frontline clinicians. The purpose of this study was to determine whether subsequent stroke in TIA patients can be predicted via red blood cell distribution width (RDW). MATERIAL AND METHODS: A total of 360...

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Autores principales: Xie, Ke-Hang, Liu, Ling-Ling, Liang, Yun-Ru, Su, Chu-Yin, Li, Hua, Liu, Run-Ni, Chen, Qing-Qing, He, Jia-Sheng, Ruan, Yong-Kun, He, Wang-Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045760/
https://www.ncbi.nlm.nih.gov/pubmed/35471128
http://dx.doi.org/10.1080/07853890.2022.2059558
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author Xie, Ke-Hang
Liu, Ling-Ling
Liang, Yun-Ru
Su, Chu-Yin
Li, Hua
Liu, Run-Ni
Chen, Qing-Qing
He, Jia-Sheng
Ruan, Yong-Kun
He, Wang-Kai
author_facet Xie, Ke-Hang
Liu, Ling-Ling
Liang, Yun-Ru
Su, Chu-Yin
Li, Hua
Liu, Run-Ni
Chen, Qing-Qing
He, Jia-Sheng
Ruan, Yong-Kun
He, Wang-Kai
author_sort Xie, Ke-Hang
collection PubMed
description OBJECTIVE: Predicting the prognosis of transient ischaemic attack (TIA) is difficult for many frontline clinicians. The purpose of this study was to determine whether subsequent stroke in TIA patients can be predicted via red blood cell distribution width (RDW). MATERIAL AND METHODS: A total of 360 consecutive patients with new-onset TIA in our stroke centre, were enrolled over the period studied. The patients were divided into three groups: 103 TIA patients, 206 ischaemic stroke (IS) patients and 51 patients with haemorrhagic stroke (HS) within 7 days after TIA. Complete blood count, biochemical parameters and brain imaging were performed on all patients. RESULTS: The mean RDW values of patients with IS and HS after TIA were significantly higher than patients with TIA (13.35 ± 1.59 vs 12.84 ± 1.19, 13.32 ± 1.08 vs 12.84 ± 1.19, respectively, all p ≤ .001). In a multivariate model, RDW was independently associated with stroke after TIA (IS: odds ratio (OR) = 2.52, 95% confidence interval (CI) = 1.46–3.35, p = .002; HS: OR = 1.511, 95% CI = 1.101–2.074, p = .011). Compared to ABCD(2) scores, the diagnostic power of RDW in the differentiation of patients with IS after TIA was better (area under curve (AUC): 0.731 vs 0.613, p = .015). When an RDW cut-off value of 13.95% was accepted for differentiating patients with IS from TIA, the sensitivity and specificity were 73.7% and 74.3%, respectively. However, the AUC for the ability of the RDW to predict HS was 0.653 (95% CI = 0.589–0.716; p < .001). CONCLUSIONS: KEY MESSAGES: The most important result of our study is to show that (1) the higher RDW, the earlier the stroke onset and (2) RDW ≥13.95% has a 2.52-fold risk of ischaemic stroke in TIA patients, and RDW ≥12.85% has a 1.51-fold risk of haemorrhagic stroke. As an economic and accessible hematological marker, baseline RDW may serve as a useful biomarker for risk stratification in TIA patients.
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spelling pubmed-90457602022-04-28 Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack Xie, Ke-Hang Liu, Ling-Ling Liang, Yun-Ru Su, Chu-Yin Li, Hua Liu, Run-Ni Chen, Qing-Qing He, Jia-Sheng Ruan, Yong-Kun He, Wang-Kai Ann Med Neurology OBJECTIVE: Predicting the prognosis of transient ischaemic attack (TIA) is difficult for many frontline clinicians. The purpose of this study was to determine whether subsequent stroke in TIA patients can be predicted via red blood cell distribution width (RDW). MATERIAL AND METHODS: A total of 360 consecutive patients with new-onset TIA in our stroke centre, were enrolled over the period studied. The patients were divided into three groups: 103 TIA patients, 206 ischaemic stroke (IS) patients and 51 patients with haemorrhagic stroke (HS) within 7 days after TIA. Complete blood count, biochemical parameters and brain imaging were performed on all patients. RESULTS: The mean RDW values of patients with IS and HS after TIA were significantly higher than patients with TIA (13.35 ± 1.59 vs 12.84 ± 1.19, 13.32 ± 1.08 vs 12.84 ± 1.19, respectively, all p ≤ .001). In a multivariate model, RDW was independently associated with stroke after TIA (IS: odds ratio (OR) = 2.52, 95% confidence interval (CI) = 1.46–3.35, p = .002; HS: OR = 1.511, 95% CI = 1.101–2.074, p = .011). Compared to ABCD(2) scores, the diagnostic power of RDW in the differentiation of patients with IS after TIA was better (area under curve (AUC): 0.731 vs 0.613, p = .015). When an RDW cut-off value of 13.95% was accepted for differentiating patients with IS from TIA, the sensitivity and specificity were 73.7% and 74.3%, respectively. However, the AUC for the ability of the RDW to predict HS was 0.653 (95% CI = 0.589–0.716; p < .001). CONCLUSIONS: KEY MESSAGES: The most important result of our study is to show that (1) the higher RDW, the earlier the stroke onset and (2) RDW ≥13.95% has a 2.52-fold risk of ischaemic stroke in TIA patients, and RDW ≥12.85% has a 1.51-fold risk of haemorrhagic stroke. As an economic and accessible hematological marker, baseline RDW may serve as a useful biomarker for risk stratification in TIA patients. Taylor & Francis 2022-04-26 /pmc/articles/PMC9045760/ /pubmed/35471128 http://dx.doi.org/10.1080/07853890.2022.2059558 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Neurology
Xie, Ke-Hang
Liu, Ling-Ling
Liang, Yun-Ru
Su, Chu-Yin
Li, Hua
Liu, Run-Ni
Chen, Qing-Qing
He, Jia-Sheng
Ruan, Yong-Kun
He, Wang-Kai
Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title_full Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title_fullStr Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title_full_unstemmed Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title_short Red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
title_sort red cell distribution width: a novel predictive biomarker for stroke risk after transient ischaemic attack
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9045760/
https://www.ncbi.nlm.nih.gov/pubmed/35471128
http://dx.doi.org/10.1080/07853890.2022.2059558
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