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      HbA1c‐dependent projection of long‐term renal outcomes

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          Abstract

          Background

          Diabetes mellitus is a major risk factor for the development of chronic kidney disease (CKD). There is limited data addressing the value of glycated hemoglobin (HbA1c) to predict renal outcomes independent of diabetes status.

          Methods

          This single‐center retrospective observational study presents data of 19,285 subjects, irrespective of initial CKD or diabetes status. The primary endpoint was defined as the time to manifestation of moderate CKD (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m 2) in subjects with eGFR ≥60 mL/min/1.73 m 2 at baseline. The secondary endpoint was defined as time to progression of CKD (eGFR <30 mL/min/1.73 m 2) in subjects with eGFR 30–60 mL/min/1.73 m 2. Multivariate time‐to‐event and logistic regression models were applied to estimate the influences of HbA1c, sex, age, eGFR, triglycerides, and cholesterol on both endpoints.

          Results

          Lowest baseline HbA1c levels were associated with the slowest decline of kidney function (median time to manifestation of moderate CKD for HbA1c <5.7%: 15.9 years [95% confidence interval (CI): 15.2–16.7]; for HbA1c 5.7%–6.5%: 14.5 years [95% CI: 14.0–15.1]; for HbA1c 6.5%–8.5%: 11.1 years [95% CI: 10.4–11.7]; for HbA1c >8.5%: 8.3 years [95% CI: 7.8–9.2]; p < 0.001). Similar results were observed for the secondary endpoint. Covariate‐adjusted time‐to‐event analysis demonstrated an almost linear correlation between continuous baseline HbA1c levels and the probabilities of reaching both endpoints.

          Conclusions

          HbA1c levels are a strong predictor for eGFR decline, irrespective of diabetes status or CKD stage, demonstrating a tight concentration‐dependent relationship. This association becomes apparent in the prediabetic HbA1c range and remains constant over the entire HbA1c spectrum.

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          Most cited references39

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          mice: Multivariate Imputation by Chained Equations inR

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            Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity.

            A cluster of risk factors for cardiovascular disease and type 2 diabetes mellitus, which occur together more often than by chance alone, have become known as the metabolic syndrome. The risk factors include raised blood pressure, dyslipidemia (raised triglycerides and lowered high-density lipoprotein cholesterol), raised fasting glucose, and central obesity. Various diagnostic criteria have been proposed by different organizations over the past decade. Most recently, these have come from the International Diabetes Federation and the American Heart Association/National Heart, Lung, and Blood Institute. The main difference concerns the measure for central obesity, with this being an obligatory component in the International Diabetes Federation definition, lower than in the American Heart Association/National Heart, Lung, and Blood Institute criteria, and ethnic specific. The present article represents the outcome of a meeting between several major organizations in an attempt to unify criteria. It was agreed that there should not be an obligatory component, but that waist measurement would continue to be a useful preliminary screening tool. Three abnormal findings out of 5 would qualify a person for the metabolic syndrome. A single set of cut points would be used for all components except waist circumference, for which further work is required. In the interim, national or regional cut points for waist circumference can be used.
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              New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race

              Current equations for estimated glomerular filtration rate (eGFR) that use serum creatinine or cystatin C incorporate age, sex, and race to estimate measured GFR. However, race in eGFR equations is a social and not a biologic construct.
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                Author and article information

                Contributors
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                Journal
                Journal of Internal Medicine
                J Intern Med
                Wiley
                0954-6820
                1365-2796
                February 2024
                November 05 2023
                February 2024
                : 295
                : 2
                : 206-215
                Affiliations
                [1 ] Department of Medicine IV Medical Center, Faculty of Medicine, University of Freiburg Freiburg Germany
                [2 ] Institute for Microbiology and Hygiene Medical Center Faculty of Medicine University of Freiburg Freiburg Germany
                [3 ] Department of Medicine V Medical Center Faculty of Medicine University of Freiburg Freiburg Germany
                Article
                10.1111/joim.13736
                37925625
                dfe63be6-9493-4da6-a7c3-cd7ba0303b6c
                © 2024

                http://creativecommons.org/licenses/by/4.0/

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