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      The association of platelet to white blood cell ratio with diabetes: a nationwide survey in China

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          Abstract

          Background

          Inflammation is integral to diabetes pathogenesis. The novel hematological inflammatory biomarker, platelet to white blood cell ratio (PWR), is linked with various conditions such as chronic kidney disease and stroke. However, the association of this novel clinical indicator with diabetes still remains unclear, which is investigated in this study.

          Materials and Methods

          A total of 10,973 Chinese participants were included and grouped according to the tertiles of PWR (T1, T2, and T3 groups). Diagnosis of prediabetes and diabetes adhered to American Diabetes Association criteria. Binary logistic regression was adopted to assess the relationship between PWR and both diabetes and prediabetes. The dose-response relationship of PWR and diabetes was examined using restricted cubic spline regression. Subgroup and interaction analyses were conducted to investigate potential covariate interactions.

          Results

          Individuals with higher PWR had better lifestyles and lipid profiles (all P < 0.05). After adjusting for all the covariates, the T2 group had a 0.83-fold (95% CI: 0.73–0.93, P < 0.01) risk of diabetes and that for the T3 group was 0.68-fold (95% CI: 0.60–0.78. P < 0.001). Dose-response analysis identified non-linear PWR-diabetes associations in the general population and females (both P < 0.05), but absent in males. Participants with prediabetes in the T2 and T3 groups had lower risks of diabetes (OR = 0.80 for the T2 group, P < 0.001 and 0.68 for the T3 group, P < 0.001) in the full models. All the sensitivity analysis support consistent conclusions.

          Conclusions

          An increase in PWR significantly correlates with reduced diabetes risks. A non-linear PWR-diabetes relationship exists in the general population and females, but not in males. The correlation between PWR and diabetes indicates that PWR holds potentials in early identification and prevention of diabetes.

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          Most cited references65

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          WITHDRAWN: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition

          To provide global estimates of diabetes prevalence for 2019 and projections for 2030 and 2045.
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            Cohort profile: the China Health and Retirement Longitudinal Study (CHARLS).

            The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons in China 45 years of age or older and their spouses, including assessments of social, economic, and health circumstances of community-residents. CHARLS examines health and economic adjustments to rapid ageing of the population in China. The national baseline survey for the study was conducted between June 2011 and March 2012 and involved 17 708 respondents. CHARLS respondents are followed every 2 years, using a face-to-face computer-assisted personal interview (CAPI). Physical measurements are made at every 2-year follow-up, and blood sample collection is done once in every two follow-up periods. A pilot survey for CHARLS was conducted in two provinces of China in 2008, on 2685 individuals, who were resurveyed in 2012. To ensure the adoption of best practices and international comparability of results, CHARLS was harmonized with leading international research studies in the Health and Retirement Study (HRS) model. Requests for collaborations should be directed to Dr Yaohui Zhao (yhzhao@nsd.edu.cn). All data in CHARLS are maintained at the National School of Development of Peking University and will be accessible to researchers around the world at the study website. The 2008 pilot data for CHARLS are available at: http://charls.ccer.edu.cn/charls/. National baseline data for the study are expected to be released in January 2013.
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              Epidemiology of Type 2 Diabetes – Global Burden of Disease and Forecasted Trends

              The rising burden of type 2 diabetes is a major concern in healthcare worldwide. This research aimed to analyze the global epidemiology of type 2 diabetes. We analyzed the incidence, prevalence, and burden of suffering of diabetes mellitus based on epidemiological data from the Global Burden of Disease (GBD) current dataset from the Institute of Health Metrics, Seattle. Global and regional trends from 1990 to 2017 of type 2 diabetes for all ages were compiled. Forecast estimates were obtained using the SPSS Time Series Modeler. In 2017, approximately 462 million individuals were affected by type 2 diabetes corresponding to 6.28% of the world’s population (4.4% of those aged 15–49 years, 15% of those aged 50–69, and 22% of those aged 70+), or a prevalence rate of 6059 cases per 100,000. Over 1 million deaths per year can be attributed to diabetes alone, making it the ninth leading cause of mortality. The burden of diabetes mellitus is rising globally, and at a much faster rate in developed regions, such as Western Europe. The gender distribution is equal, and the incidence peaks at around 55 years of age. Global prevalence of type 2 diabetes is projected to increase to 7079 individuals per 100,000 by 2030, reflecting a continued rise across all regions of the world. There are concerning trends of rising prevalence in lower-income countries. Urgent public health and clinical preventive measures are warranted.
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                Author and article information

                Contributors
                Role: Role: Role: Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2606609Role: Role: Role: Role: Role: Role:
                Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2581656Role: Role: Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2706704Role: Role: Role: Role: Role:
                Journal
                Front Endocrinol (Lausanne)
                Front Endocrinol (Lausanne)
                Front. Endocrinol.
                Frontiers in Endocrinology
                Frontiers Media S.A.
                1664-2392
                18 June 2024
                2024
                : 15
                : 1418583
                Affiliations
                [1] 1 Department of Anesthesiology, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University , Chengdu, China
                [2] 2 Department of Anesthesiology, West China Hospital, Sichuan University , Chengdu, China
                [3] 3 Operating Room, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University , Chengdu, China
                Author notes

                Edited by: Weiwei Liu, Chongqing Medical University, China

                Reviewed by: Mou Shan, Shanghai Jiao Tong University, China

                Shan Yang, Chongqing Medical University, China

                *Correspondence: Yusi Hua, yusihua@ 123456wchscu.cn
                Article
                10.3389/fendo.2024.1418583
                11217324
                38957446
                499c1ec4-420b-452a-a5b8-9fb7ab3d83a3
                Copyright © 2024 Liu, Wang, Wang, Zhao and Hua

                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
                : 16 April 2024
                : 27 May 2024
                Page count
                Figures: 2, Tables: 6, Equations: 0, References: 65, Pages: 12, Words: 6856
                Funding
                The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.
                Categories
                Endocrinology
                Original Research
                Custom metadata
                Clinical Diabetes

                Endocrinology & Diabetes
                platelet,white blood cell,diabetes,prediabetes,charls
                Endocrinology & Diabetes
                platelet, white blood cell, diabetes, prediabetes, charls

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