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      The Product of Red Blood Cells and Hematocrit Can Be Used as a Novel Indicator of Impaired Fasting Blood Glucose Status

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          Abstract

          Objective

          To explore whether the red blood cell count multiplied by hematocrit index (RBCHct) in blood routine parameters can indicate the risk of impaired fasting blood glucose (IFG), and whether it is related to insulin resistance and inflammation.

          Methods

          In this cross-sectional study, previous history of diabetes was excluded, and people with normal and impaired IFG were included. We use Spearman analysis to evaluate the correlation between RBCHct index and fasting plasma glucose, insulin resistance homeostasis model assessment (HOMA-IR), and hypersensitive C-reactive protein (hs-CRP). Binary logistic regression analysis was used to evaluate the RBCHct index for assessing the potential risk of IFG, and the receiver operating characteristic (ROC) curve was used to evaluate the RBCHct index for diagnosing insulin resistance and chronic low-grade inflammatory efficacy among those with IFG.

          Results

          Correlation analysis showed that the RBCHct index and fasting plasma glucose (r=0.088, P=0.003); HOMA-IR (r=0.199, P<0.001); and hs-CRP (r=0.097, P=0.001) were positively correlated. After adjusting for confounding factors, the risk of IFG in the third and fourth quartiles of the RBCHct index increased to 1.889 and 3.048 times. The area under the ROC curve of the RBCHct index for diagnosis of insulin resistance state (HOMA-IR) was 0.695 (p<0.001), and the area under the ROC curve of the RBCHct index for the diagnosis of chronic low-inflammatory state (hs-CRP) was 0.641 (P=0.010).

          Conclusion

          The RBCHct index may be a potential indicator for assessing the risk of prediabetes and is closely related to whether the body is in a state of insulin resistance and inflammation under IFG.

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          Most cited references47

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          2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2019

          (2018)
          The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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            Prevalence and Ethnic Pattern of Diabetes and Prediabetes in China in 2013.

            Previous studies have shown increasing prevalence of diabetes in China, which now has the world's largest diabetes epidemic.
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              Markers of Inflammation and Cardiovascular Disease: Application to Clinical and Public Health Practice: A Statement for Healthcare Professionals From the Centers for Disease Control and Prevention and the American Heart Association

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                Author and article information

                Journal
                Diabetes Metab Syndr Obes
                Diabetes Metab Syndr Obes
                dmso
                dmso
                Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
                Dove
                1178-7007
                27 October 2020
                2020
                : 13
                : 4007-4015
                Affiliations
                [1 ]Department of Nephrology, The Third Affiliated Hospital, Southern Medical University , Guangzhou 510630, People’s Republic of China
                Author notes
                Correspondence: Hequn Zou; Xiaofei ShaoDepartment of Nephrology, The Third Affiliated Hospital, Southern Medical University , 183, Zhongshan West Avenue, Tianhe District, Guangzhou510630, People’s Republic of China Email Hequnzou@hotmail.com; 413151187@qq.com
                [*]

                These authors contributed equally to this work.

                Author information
                http://orcid.org/0000-0001-9739-6563
                Article
                270276
                10.2147/DMSO.S270276
                7602892
                a080d50c-e96b-42cc-a2d6-1b1c50a5eb6e
                © 2020 Feng et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 18 July 2020
                : 03 October 2020
                Page count
                Figures: 2, Tables: 11, References: 49, Pages: 9
                Funding
                Funded by: Clinical trial training project of Southern Medical University;
                Funded by: Science and Technique Program of Guangzhou;
                Funded by: South Wisdom Valley Innovative Research Team Program;
                Funded by: The National Natural Science Foundation of China;
                This study was supported by Risk factors and prediction model of chronic kidney disease caused by metabolic syndrome: A multicentric prospective cohort study Clinical trial training project of Southern Medical University (LC2016PY047, 2016); Science and Technique Program of Guangzhou (201604020015, 2015); South Wisdom Valley Innovative Research Team Program (CXTD-004, 2014), and The National Natural Science Foundation of China (81873620).
                Categories
                Original Research

                Endocrinology & Diabetes
                diabetes mellitus,erythrocyte,rbchct index,insulin resistance,inflammation

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