Search for authorsSearch for similar articles
54
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Baseline Red Blood Cell Distribution Width as a Predictor of Stroke Occurrence and Outcome: A Comprehensive Meta-Analysis of 31 Studies

      systematic-review

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background: Red blood cell distribution width (RDW) may be a potential biomarker of inflammation in patients with stroke. Elevated RDW is associated with higher incidence of stroke, unfavorable functional outcome, and increased mortality, although results are inconsistent in the reported literature. This study aims to evaluate the predictive power of RDW regarding stroke occurrence and outcome.

          Methods: A thorough literature search was conducted utilizing the PubMed Central (PMC) and EMBASE databases to identify studies up to May 2019. Data from these studies were pooled, and combined odds ratios/risk ratios (ORs/RRs) were estimated for the risk of stroke, functional outcome, and mortality. A subgroup analysis was also performed to explore heterogeneity in terms of population status, demographic factors (age, gender distribution, and country), and vascular risk factors (hypertension, diabetes mellitus, and current smoking).

          Results: A total of 31 studies with 3,487,896 patients were included in the analysis. Elevated RDW was found to be a risk factor in ischemic stroke (OR/RR 1.528; 95% confidence interval [CI] = 1.372–1.703), whereas combined OR in subarachnoid hemorrhage (SAH) was not statistically significant (OR/RR 1.835; 95% CI = 0.888–3.792). Elevated RDW posed increased risk in populations with conventionally higher risk of stroke, such as atrial fibrillation (AF) (OR/RR 1.292; 95% CI = 1.107–1.508) and diabetes mellitus (OR/RR 2.101; 95% CI = 1.488–2.968), and in community cohorts (OR/RR 1.245; 95% CI = 1.216–1.275). In addition, higher RDW was associated with unfavorable functional outcome, either at discharge (OR/RR 1.220; 95% CI = 1.070–1.39) or at 90 days (OR/RR 1.277; 95% CI = 1.155–1.413). Higher mortality was found in patients with increased RDW (OR/RR 1.278; 95% CI = 1.221–1.337), independent of demographic factors (age, gender distribution, and country).

          Conclusions: Baseline RDW should be integrated into clinical practice as a predictor of ischemic stroke occurrence and outcome. Future studies should also explore the dynamic change of RDW in post-stroke patients to evaluate the clinical significance of RDW and its impact on the inflammatory state of ischemic stroke.

          Related collections

          Most cited references47

          • Record: found
          • Abstract: found
          • Article: not found

          Inflammation and Stroke: An Overview.

          The immune response to acute cerebral ischemia is a major factor in stroke pathobiology and outcome. While the immune response starts locally in occluded and hypoperfused vessels and the ischemic brain parenchyma, inflammatory mediators generated in situ propagate through the organism as a whole. This "spillover" leads to a systemic inflammatory response first, followed by immunosuppression aimed at dampening the potentially harmful proinflammatory milieu. In this overview we will outline the inflammatory cascade from its starting point in the vasculature of the ischemic brain to the systemic immune response elicited by brain ischemia. Potential immunomodulatory therapeutic approaches, including preconditioning and immune cell therapy will also be discussed.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Central nervous system injury-induced immune deficiency syndrome.

            Infections are a leading cause of morbidity and mortality in patients with acute CNS injury. It has recently become clear that CNS injury significantly increases susceptibility to infection by brain-specific mechanisms: CNS injury induces a disturbance of the normally well balanced interplay between the immune system and the CNS. As a result, CNS injury leads to secondary immunodeficiency - CNS injury-induced immunodepression (CIDS) - and infection. CIDS might serve as a model for the study of the mechanisms and mediators of brain control over immunity. More importantly, understanding CIDS will allow us to work on developing effective therapeutic strategies, with which the outcome after CNS damage by a host of diseases could be improved by eliminating a major determinant of poor recovery.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              IL-6 mediates hypoferremia of inflammation by inducing the synthesis of the iron regulatory hormone hepcidin.

              Hypoferremia is a common response to systemic infections or generalized inflammatory disorders. In mouse models, the development of hypoferremia during inflammation requires hepcidin, an iron regulatory peptide hormone produced in the liver, but the inflammatory signals that regulate hepcidin are largely unknown. Our studies in human liver cell cultures, mice, and human volunteers indicate that IL-6 is the necessary and sufficient cytokine for the induction of hepcidin during inflammation and that the IL-6-hepcidin axis is responsible for the hypoferremia of inflammation.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Neurol
                Front Neurol
                Front. Neurol.
                Frontiers in Neurology
                Frontiers Media S.A.
                1664-2295
                26 November 2019
                2019
                : 10
                : 1237
                Affiliations
                [1] 1Department of Neurology, Xuanwu Hospital, Capital Medical University , Beijing, China
                [2] 2Advanced Center of Stroke, Beijing Institute for Brain Disorders , Beijing, China
                [3] 3Department of China-America Institute of Neuroscience, Xuanwu Hospital, Capital Medical University , Beijing, China
                [4] 4Department of Cardiology, Anzhen Hospital, Capital Medical University , Beijing, China
                [5] 5Department of Neurological Surgery, Semmes-Murphey Clinic, The University of Tennessee Health Science Center , Memphis, TN, United States
                [6] 6Department of Ultrasonography, Tiantan Hospital, Capital Medical University , Beijing, China
                [7] 7Department of Neurosurgery, Wayne State University School of Medicine , Detroit, MI, United States
                Author notes

                Edited by: Yannick Béjot, Centre Hospitalier Regional Universitaire De Dijon, France

                Reviewed by: Linxin Li, University of Oxford, United Kingdom; Maurice Giroud, Centre Hospitalier Regional Universitaire De Dijon, France

                *Correspondence: Ran Meng ranmeng2011@ 123456pku.org.cn

                This article was submitted to Stroke, a section of the journal Frontiers in Neurology

                Article
                10.3389/fneur.2019.01237
                6901990
                31849813
                25e2b1f0-66af-4d3f-850a-cfc854482d59
                Copyright © 2019 Song, Hua, Dornbors, Kang, Zhao, Du, He, Ding and Meng.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 June 2019
                : 06 November 2019
                Page count
                Figures: 4, Tables: 3, Equations: 0, References: 63, Pages: 14, Words: 7950
                Funding
                Funded by: National Natural Science Foundation of China 10.13039/501100001809
                Categories
                Neurology
                Systematic Review

                Neurology
                red blood cell distribution width,stroke,risk factor,mortality,functional outcome,meta-analysis

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content263

                Cited by38

                Most referenced authors1,010