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      Association between red blood cell distribution width/albumin ratio and all-cause mortality or cardiovascular diseases mortality in patients with diabetic retinopathy: A cohort study

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          Abstract

          Background

          Red blood cell distribution width/albumin ratio (RAR) has been reported as an independent risk factor for diabetic retinopathy (DR), while its association and predictive value in the prognosis of DR patients has not been reported. This study aims to explore the association and predictive value of RAR in the prognosis of DR patients.

          Methods

          This was a retrospective cohort study based on the National Health and Nutrition Examination Survey (NHANES). The independent variable was RAR, and dependent variables were all-cause mortality and cardiovascular diseases (CVD) mortality. The association between RAR and the risk of all-cause mortality and CVD mortality was assessed using univariate and multivariate cox regression models. The results were shown as HR (hazard ratio) with 95% confidence intervals (CIs). Subgroup analysis based on age or hyperlipidemia was performed. The discrimination of the prediction model was assessed using concordance index (C-index).

          Results

          A total of 725 eligible patients were finally included in this study. The increase of RAR was associated with increased risk of all-cause mortality (HR: 1.15, 95%CI: 1.01–1.31) and CVD mortality (HR: 1.35, 95%CI: 1.12–1.63) after adjusting the covariates. We also found the significant association between higher RAR and higher risk of CVD mortality in DR patients with age < 65 years (HR: 1.35, 95%CI: 1.09–1.67) and with hyperlipidemia (HR: 1.34, 95%CI: 1.10–1.64). C-index of RAR for all-cause mortality and CVD mortality was 0.63 (95%CI: 0.59–0.67) and 0.65 (95%CI: 0.59–0.71), respectively.

          Conclusions

          Higher RAR was associated with the higher risk of all-cause mortality and CVD mortality in DR patients, and RAR may be a useful predictor for the prognosis of DR patients.

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          Most cited references40

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          KDIGO 2021 Clinical Practice Guideline for the Management of Glomerular Diseases

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            Global Prevalence of Diabetic Retinopathy and Projection of Burden through 2045: Systematic Review and Meta-analysis

            To provide updated estimates on the global prevalence and number of people with diabetic retinopathy (DR) through 2045.
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              Red blood cell distribution width: A simple parameter with multiple clinical applications.

              The red blood cell distribution width (RDW) is a simple and inexpensive parameter, which reflects the degree of heterogeneity of erythrocyte volume (conventionally known as anisocytosis), and is traditionally used in laboratory hematology for differential diagnosis of anemias. Nonetheless, recent evidence attests that anisocytosis is commonplace in human disorders such as cardiovascular disease, venous thromboembolism, cancer, diabetes, community-acquired pneumonia, chronic obstructive pulmonary disease, liver and kidney failure, as well as in other acute or chronic conditions. Despite some demographic and analytical issues related to the routine assessment that may impair its clinical usefulness, an increased RDW has a high negative predictive value for diagnosing a variety of disorders, but also conveys important information for short- and long-term prognosis. Even more importantly, the value of RDW is now being regarded as a strong and independent risk factor for death in the general population. Although it has not been definitely established whether an increased value of RDW is a risk factor or should only be considered an epiphenomenon of an underlying biological and metabolic imbalance, it seems reasonable to suggest that the assessment of this parameter should be broadened far beyond the differential diagnosis of anemias. An increased RDW mirrors a profound deregulation of erythrocyte homeostasis involving both impaired erythropoiesis and abnormal red blood cell survival, which may be attributed to a variety of underlying metabolic abnormalities such as shortening of telomere length, oxidative stress, inflammation, poor nutritional status, dyslipidemia, hypertension, erythrocyte fragmentation and alteration of erythropoietin function. As such, the aim of this article is to provide general information about RDW and its routine assessment, to review the most relevant implications in health and disease and give some insights about its potential clinical applications.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Methodology
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 December 2023
                2023
                : 18
                : 12
                : e0296019
                Affiliations
                [1 ] Department of Ophthalmology, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, P.R. China
                [2 ] The Archive Room, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, P.R. China
                Osaka University of Pharmaceutical Sciences, JAPAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0007-1363-4917
                Article
                PONE-D-23-22688
                10.1371/journal.pone.0296019
                10735013
                38128055
                583d2811-9cf5-4a5c-b249-ba1c4ebcd16c
                © 2023 Fu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 21 July 2023
                : 4 December 2023
                Page count
                Figures: 1, Tables: 5, Pages: 13
                Funding
                Funded by: Medical Science and Technology Foundation of Ningbo Health Commission
                Award ID: No.2021Y03
                Funded by: Medical Health Science and Technology Project of Zhejiang Provincial Health Commission
                Award ID: No.2023KY1041
                This study was funded by the Medical Science and Technology Foundation of Ningbo Health Commission (No.2021Y03) and the Medical Health Science and Technology Project of Zhejiang Provincial Health Commission (No.2023KY1041). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Medical Conditions
                Cardiovascular Diseases
                Medicine and Health Sciences
                Cardiology
                Cardiovascular Medicine
                Cardiovascular Diseases
                Medicine and Health Sciences
                Epidemiology
                Medical Risk Factors
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Medical Conditions
                Metabolic Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Clinical Medicine
                Signs and Symptoms
                Hyperlipidemia
                Medicine and Health Sciences
                Diagnostic Medicine
                Prognosis
                Medicine and Health Sciences
                Medical Conditions
                Eye Diseases
                Retinal Disorders
                Retinopathy
                Diabetic Retinopathy
                Medicine and Health Sciences
                Ophthalmology
                Eye Diseases
                Retinal Disorders
                Retinopathy
                Diabetic Retinopathy
                Biology and Life Sciences
                Cell Biology
                Cellular Types
                Animal Cells
                Blood Cells
                Red Blood Cells
                Medicine and Health Sciences
                Nephrology
                Renal Diseases
                Chronic Kidney Disease
                Custom metadata
                The third-party datasets analyzed during the current study are publicly available from the NHANES database ( https://www.cdc.gov/nchs/nhanes/index.htm). The authors confirm that others would be able to access these data in the same manner as themselves. The authors also confirm that they did not have any special access privileges.

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