Literature DB >> 28989807

Red blood cell distribution width and ischaemic stroke.

Gang-Hua Feng1, Hai-Peng Li1, Qiu-Li Li1, Ying Fu2, Ren-Bin Huang1.   

Abstract

The red blood cell distribution width (RDW) is a measure of red blood cell (RBC) size heterogeneity, which is easily calculated by dividing the SD of erythrocyte volumes for the mean corpuscular volume. Recent reporter suggested that, besides haematological diseases and anaemia, many human disorders may be closely associated with the elevated RDW. A literature review has revealed the RDW may be closely related to the development of ischaemic stroke, carotid artery atherosclerosis and cerebral embolism. Higher RDW could independently predict adverse outcomes in patients in these conditions.

Entities:  

Keywords:  Red blood cell distribution width (RDW); carotid artery atherosclerosis (CAS); cerebral embolism; ischaemic stroke

Year:  2017        PMID: 28989807      PMCID: PMC5628378          DOI: 10.1136/svn-2017-000071

Source DB:  PubMed          Journal:  Stroke Vasc Neurol        ISSN: 2059-8696


Introduction

The red blood cell distribution width (RDW) is a parameter that reflects the heterogeneity of the red blood cell volume. It is indicated that the variation coefficient of the red blood cell volume is more objective and accurate than that of the red blood cell on the blood smear. RDW is in about 11.0%–16.0% in normal population. RDW will rise under some physiological and pathological conditions.1 2 RDW has at least five clinical significant meanings: To diagnose and guide the treatment of iron deficiency anaemia. Traditionally, anaemia deficiency from iron can be differentiated from folate deficiency according to the size of RDW. RDW would increase because of the release of immature red blood cells into the blood stream in certain haematological diseases.3–5 RDW increases in iron deficiency anaemia, and such increase would appear earlier than the decline of mean corpuscular volume (MCV), which can be an early indication of iron deficiency. When MCV is low, RDW would increase more significantly. When iron therapy is given, RDW would elevate first and then gradually reduce at the normal level. To diagnose small cell and low pigment anaemia. To classify anaemia. Previously, many research suggested that RDW was closely related to the mortality and cardiovascular events, such as acute coronary syndrome, ischaemic cerebrovascular disease, peripheral artery disease, heart failure (HF), atrial fibrillation (AF) and hypertension.4 6–10 RDW can be made as a predictor of mortality in patients with cancer, chronic lung disease or acute renal failure.4 11 Stroke is the result of cerebral vascular occlusion or haemorrhage, and it is the leading cause of death in the world.12–14 At present, clinical diagnosis relies on history, neurological examinations and neuro-imaging. Several scoring systems are used to quantify the degree of severity of stroke: the Glasgow Coma Scale, Canadian Neurological Scale, Scandinavian Stroke Scale and National Institutes of Health Stroke Scale (NIHSS).15 However, there is no biological surrogate marker to diagnose stroke. RDW by flow cytometry could be an option for this purpose and predict the occurrence of stroke.1 16–18

Methods

In this meta-analysis, we analysed the current scientific literature on the putative role and the potential epidemiological association between RDW and ischaemic stroke (including carotid artery atherosclerosis). Keywords used include the RDW, ischaemic stroke and the outcomes of ischaemic stroke. Data base used include CNKI and PubMed. Fifty-seven manuscripts were identified, and 40 of them were included.

Results

Overall, considerable and convincing evidence has been demonstrated that an increased RDW value is likely associated with ischaemic cerebrovascular disease, carotid artery atherosclerosis and cerebral embolism. Higher RDW could independently predict adverse outcomes in patients in these conditions.19 20

RDW in ischaemic stroke

Cerebral infarction (CI) is a general term of ischaemic stroke, including cerebral thrombosis, lacunar infarction and cerebral embolism. Ischaemic stroke accounted for about 70% of all strokes, which is caused by brain–blood supply disorder of brain lesions. Current study confirms that RDW is closely related to the occurrence of ischaemic stroke. Jia et al studied 392 patients with a primary diagnosis of ischaemic stroke with MRI, then performed carotid ultrasound and laboratory examination. They have found that the levels of RDW in these patients was higher than those with no strokes.21 This study confirmed that RDW played an important role in the progression of an ischaemic stroke. Similarly, Söderholm et al found that high levels of RDW could increase the risk of stroke or CI in a population-based cohort study in 2015.22 However, Lappegård et al have found that elevated RDW levels did not predict any increased risk of death after stroke.23 Clinically, the severity of stroke is evaluated by several bedside scoring systems or imaging studies. Kara et al studied the RDW in 128 patients with acute ischaemic stroke (AIS; symptoms <24 hours) and compared their scoring systems to the levels of RDW. They have found that significantly higher levels of RDW could predict increased risk of total stroke occurrence with the bedside scoring systems.15 Therefore, it is likely that RDW could predict the severity and functional outcomes in patients with stroke. Kim et al reported that the greater the magnitude of RDW, the higher the mortality rate and worsening of functional outcome in acute stroke. These studies seemed to indicate that RDW can be used as a biomarker for assessing the severity of stroke and prognosis of patients with AIS.24

RDW in cerebral embolism

Cerebral embolism can be generated from several sources. It can be cardiogenic or arterial to arterial embolisation. One of the sources is the internal carotid artery. At present, RDW cannot be used to predict the mechanism of a stroke, such as in cerebral embolism. Through CHS computerised database, Saliba et al conducted a prospective study of 77 297 patients and found that RDW change was directly related to a stroke. However, it also showed correlation of stroke to AF. Adamsson et al selected 27 124 middle-aged subjects (45 years old–73 years old, female 62%) with AF, HF, myocardial infarction or stroke and followed up for 13.6 years. They found that RDW levels correlated well to the incidence of stroke caused by AF in Sweden.25 The results showed that RDW may be related to the risk of cerebral embolism.

RDW in carotid artery atherosclerosis (CAS) and hypertension

A large number of studies have confirmed that CAS was a risk factor for ischaemic stroke.26–29 This was supported by a large number of epidemiological studies on cardiovascular diseases. Similarly, Furer  et al studied 522 patients with high RDW and carotid Intima-medial thickness (IMT) by using carotid artery ultrasound. They have found that elevated RDW was related to preclinical and clinical CAS and suggested that RDW was an independent risk factor for severe atherosclerosis.30 Martin et al have come to the same conclusion based on a cohort study of Swedish population.31 Wen studied IMT by ultrasound in 156 hypertensive patients (60–85 years old). They have found that RDW level was an independent predictor of IMT and plaque-related incidences.32 And a large number of studies have confirmed that elevated RDW levels may have result in the hardening of the arteries.

Discussion

The exact biological mechanism between RDW and ischaemic stroke remains unclear. Inflammation and oxidative stress (OS) may play an important role in RDW in ischaemic stroke.15 24 Inflammation can reduce the survival rate of red blood cells, inhibit the production of red blood cells or erythropoietin and finally lead to red cell damage.33 34 Some studies have suggested that RDW was similar to tumour necrosis factor receptor or C-reactive protein (CRP), which were also markers for inflammation.35 Ferrucci et al thought a variety of inflammatory cytokines can be used as a parameter, suggesting that higher levels of inflammation and high concentrations of RDW in non-anaemic elderly was closely related to the production of erythropoietin, while it was negatively associated with anaemia.36 High CRP and erythrocyte sedimentation rate in elevated RDW was independent of other confounding factors. OS was the imbalance between in vivo oxidation and antioxidation, resulting in neutrophil infiltration, increased protease secretion and accumulation of a large number of oxidation intermediates.36 OS was a result of negative effect produced by free radicals in the body and an important factor leading to ageing and disease. The imbalance between antioxidant and oxidant will cause oxidative damage to nucleic acids, proteins and lipids, thus affecting the survival of red blood cells.37 This may lead to the damage of red blood cell membrane, increased red blood cell fragility, reduced red blood cell maturation and red blood cell longevity and elevation of RDW.38 In addition, studies have suggested that oxidative damage and antioxidant levels were associated with cerebral ischaemia and reperfusion injury. Toxic protections from oxidative damage would affect functional outcome and mortality in stroke.39 40 Semba et al followed 786 women with moderate to severe disability for 24 months in Baltimore. Their serum levels of oxidants increased with RDW.37 Recent studies have shown that antioxidants can improve the body’s antioxidant capacity, reduce blood lipids and oxidative damage from ischaemic stroke.39 In other words, RDW values was related to the levels of oxidation and antioxidants, which were related to the severity of ischaemic stroke (including carotid sclerosis). Although a lot of studies considered that RDW might be a biomarker or predictor of outcome and mortality in ischaemic stroke, and RDW was associated with IMT and the incidence of carotid plaque, few trials suggested that RDW could predict severity of stroke and functional outcome in patients with early AIS.

Conclusion

Although the biological mechanisms of higher RDW remains uncertain, RDW is a strong predictor for mortality and risk of ischaemic stroke (including CAS). More studies are required to evaluate and validate this correlation.
  39 in total

1.  Antioxidant profile and early outcome in stroke patients.

Authors:  A Cherubini; M C Polidori; M Bregnocchi; S Pezzuto; R Cecchetti; T Ingegni; A di Iorio; U Senin; P Mecocci
Journal:  Stroke       Date:  2000-10       Impact factor: 7.914

Review 2.  The inflammatory response and epoetin sensitivity.

Authors:  Iain C Macdougall; Angela Cooper
Journal:  Nephrol Dial Transplant       Date:  2002       Impact factor: 5.992

Review 3.  Stroke in American Indians and Alaska Natives: A Systematic Review.

Authors:  Raymond Harris; Lonnie A Nelson; Clemma Muller; Dedra Buchwald
Journal:  Am J Public Health       Date:  2015-06-11       Impact factor: 9.308

4.  The relationship between red blood cell distribution width and the clinical outcomes in non-ST elevation myocardial infarction and unstable angina pectoris: a 3-year follow-up.

Authors:  Mehmet Gul; Huseyin Uyarel; Mehmet Ergelen; Denizhan Karacimen; Murat Ugur; Ayca Turer; Mehmet Bozbay; Erkan Ayhan; Ozgur Akgul; Nevzat Uslu
Journal:  Coron Artery Dis       Date:  2012-08       Impact factor: 1.439

5.  Proinflammatory state and circulating erythropoietin in persons with and without anemia.

Authors:  Luigi Ferrucci; Jack M Guralnik; Richard C Woodman; Stefania Bandinelli; Fulvio Lauretani; Anna Maria Corsi; Paulo H M Chaves; William B Ershler; Dan L Longo
Journal:  Am J Med       Date:  2005-11       Impact factor: 4.965

6.  The association between red cell distribution width and stroke in patients with atrial fibrillation.

Authors:  Walid Saliba; Ofra Barnett-Griness; Mazen Elias; Gad Rennert
Journal:  Am J Med       Date:  2014-10-15       Impact factor: 4.965

7.  Long-Term Outcomes of Carotid Endarterectomy and Carotid Artery Stenting for Carotid Artery Stenosis: Real-World Status in Japan.

Authors:  Taichiro Imahori; Kohkichi Hosoda; Atsushi Fujita; Yusuke Yamamoto; Takashi Mizowaki; Shigeru Miyake; Hidehito Kimura; Masaaki Kohta; Eiji Kohmura
Journal:  J Stroke Cerebrovasc Dis       Date:  2015-11-10       Impact factor: 2.136

8.  Elevated red blood cell distribution width predicts mortality in persons with known stroke.

Authors:  Chizobam Ani; Bruce Ovbiagele
Journal:  J Neurol Sci       Date:  2008-11-22       Impact factor: 3.181

9.  Increased red cell distribution width in Fanconi anemia: a novel marker of stress erythropoiesis.

Authors:  Rosa Sousa; Cristina Gonçalves; Isabel Couto Guerra; Emília Costa; Ana Fernandes; Maria do Bom Sucesso; Joana Azevedo; Alfredo Rodriguez; Rocio Rius; Carlos Seabra; Fátima Ferreira; Letícia Ribeiro; Anabela Ferrão; Sérgio Castedo; Esmeralda Cleto; Jorge Coutinho; Félix Carvalho; José Barbot; Beatriz Porto
Journal:  Orphanet J Rare Dis       Date:  2016-07-25       Impact factor: 4.123

10.  Predictors of Stroke, Myocardial Infarction or Death within 30 Days of Carotid Artery Stenting: Results from the International Carotid Stenting Study.

Authors:  D Doig; E L Turner; J Dobson; R L Featherstone; R T H Lo; P A Gaines; S Macdonald; L H Bonati; A Clifton; M M Brown
Journal:  Eur J Vasc Endovasc Surg       Date:  2015-10-24       Impact factor: 7.069

View more
  18 in total

Review 1.  Heterogeneity of Red Blood Cells: Causes and Consequences.

Authors:  Anna Bogdanova; Lars Kaestner; Greta Simionato; Amittha Wickrema; Asya Makhro
Journal:  Front Physiol       Date:  2020-05-07       Impact factor: 4.566

2.  BIRC6 Is Associated with Vulnerability of Carotid Atherosclerotic Plaque.

Authors:  Iraide Alloza; Andrea Salegi; Jorge Mena; Raquel Tulloch Navarro; César Martin; Patricia Aspichueta; Lucía Martínez Salazar; Jon Uriarte Carpio; Patricia De-la-Hera Cagigal; Reyes Vega; Juan Carlos Triviño; Maria Del Mar Freijo; Koen Vandenbroeck
Journal:  Int J Mol Sci       Date:  2020-12-09       Impact factor: 5.923

3.  Associations between red cell distribution width and outcomes of adults with in-hospital cardiac arrest: A retrospective study.

Authors:  Yanwei Cheng; Hailin Peng; Jiange Zhang; Juan Zhu; Lijun Xu; Xue Cao; Lijie Qin
Journal:  Medicine (Baltimore)       Date:  2022-01-28       Impact factor: 1.889

4.  Predicting Risk of Stroke From Lab Tests Using Machine Learning Algorithms: Development and Evaluation of Prediction Models.

Authors:  Eman M Alanazi; Aalaa Abdou; Jake Luo
Journal:  JMIR Form Res       Date:  2021-12-02

5.  The Coefficient of Variation of Red Blood Cell Distribution Width Combined with Cancer Antigen 125 Predicts Postoperative Overall Survival in Endometrial Cancer.

Authors:  Wenhui Zhong; Chunyu Zhou; Lufei Chen; Zhenna Wang; Hongxing Lin; Kunhai Wu; Sujiao Zhang
Journal:  Int J Gen Med       Date:  2021-09-21

6.  Red blood cell distribution width is associated with mortality after acute ischemic stroke: a cohort study and systematic review.

Authors:  Lu Wang; Changyi Wang; Simiao Wu; Yuxiao Li; Wen Guo; Ming Liu
Journal:  Ann Transl Med       Date:  2020-02

7.  The predictive value of red cell distribution width for stroke severity and outcome.

Authors:  Kavous Shahsavarinia; Younes Ghavam Laleh; Payman Moharramzadeh; Mahboob Pouraghaei; Elyar Sadeghi-Hokmabadi; Fatemeh Seifar; Farid Hajibonabi; Zhila Khamnian; Mehdi Farhoudi; Sara Mafi
Journal:  BMC Res Notes       Date:  2020-06-15

Review 8.  Red Cell Distribution Width as a Novel Prognostic Marker in Multiple Clinical Studies.

Authors:  Bahman Yousefi; Sarvin Sanaie; Ali A Ghamari; Hassan Soleimanpour; Ansar Karimian; Ata Mahmoodpoor
Journal:  Indian J Crit Care Med       Date:  2020-01

9.  Elevated Red Blood Cell Distribution Width May Be a Novel Independent Predictor of Poor Functional Outcome in Patients Treated with Mechanical Thrombectomy.

Authors:  Cetin Kursad Akpinar; Erdem Gurkaş; Ozlem Aykac; Zehra Uysal; Atilla Ozcan Ozdemir
Journal:  Neurointervention       Date:  2020-11-18

10.  The Red Blood Cell Distribution Width-Albumin Ratio: A Promising Predictor of Mortality in Stroke Patients.

Authors:  Na Zhao; WanHua Hu; Zhimin Wu; Xujie Wu; Wei Li; Yiru Wang; Han Zhao
Journal:  Int J Gen Med       Date:  2021-07-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.