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      Musculoskeletal Ultrasound Evaluates Renal Injury and Predicts Renal Outcome in Patients with Gout

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          Abstract

          Introduction

          Kidney injury diagnosis is often delayed in patients with gout. We aimed to determine the characteristics of gout patients with CKD using musculoskeletal ultrasound (MSUS) and whether MSUS could be used as an auxiliary assessment to evaluate kidney injury and predict renal outcome in patients with gout.

          Methods

          Clinical information, laboratory indicators, and MSUS findings were collected and compared between gout-only patients (gout − CKD) and gout patients with CKD (gout + CKD). Multivariate logistic regression was applied to identify risk factors for clinical and MSUS characteristics in both groups. Correlation analysis between MSUS signs and kidney-related indicators was performed, and the effects of MSUS characteristics on renal prognosis were evaluated.

          Results

          In total, 176 patients with gout were included, namely, 89 gout − CKD and 87 gout + CKD cases. After adjusting for confounders, the gout patients with CKD showed more frequent episodes in the previous year, higher ultrasound semiquantitative scores, and more tophi than gout patients without CKD. Additionally, the number of tophi, bone erosion, and synovial hypertrophy measured by MSUS was found to be negatively correlated with the eGFR. The existence of tophi was independently associated with an increased risk of a ≥10% decline in eGFR in the first-year follow-up (OR, 3.56; 95% CI, 1.382–9.176).

          Conclusions

          Ultrasound-detected tophi, bone erosion, and synovial hypertrophy were associated with kidney injury in gout patients. The existence of tophi was associated with faster renal function deterioration. MSUS could be a potential auxiliary diagnostic method to evaluate kidney injury and predict renal outcome in gout patients.

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          Most cited references35

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          A new equation to estimate glomerular filtration rate.

          Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.
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            Evaluation and management of chronic kidney disease: synopsis of the kidney disease: improving global outcomes 2012 clinical practice guideline.

            The Kidney Disease: Improving Global Outcomes (KDIGO) organization developed clinical practice guidelines in 2012 to provide guidance on the evaluation, management, and treatment of chronic kidney disease (CKD) in adults and children who are not receiving renal replacement therapy. The KDIGO CKD Guideline Development Work Group defined the scope of the guideline, gathered evidence, determined topics for systematic review, and graded the quality of evidence that had been summarized by an evidence review team. Searches of the English-language literature were conducted through November 2012. Final modification of the guidelines was informed by the KDIGO Board of Directors and a public review process involving registered stakeholders. The full guideline included 110 recommendations. This synopsis focuses on 10 key recommendations pertinent to definition, classification, monitoring, and management of CKD in adults.
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              Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors

                Author and article information

                Journal
                Kidney Dis (Basel)
                Kidney Dis (Basel)
                KDD
                Kidney Diseases
                S. Karger AG (Allschwilerstrasse 10, P.O. Box · Postfach · Case postale, CH–4009, Basel, Switzerland · Schweiz · Suisse, Phone: +41 61 306 11 11, Fax: +41 61 306 12 34, karger@karger.com )
                2296-9381
                2296-9357
                April 2023
                21 November 2022
                21 November 2022
                : 9
                : 2
                : 94-103
                Affiliations
                [1] aDepartment of Nephrology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
                [2] bInstitute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China
                [3] cGeneral Practice Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
                [4] dDepartment of Ultrasound, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, China
                [5] eDepartment of Ultrasound, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
                Author notes
                Article
                kdd-0009-0094
                10.1159/000528200
                10091006
                996590e3-66b2-4248-801b-97ab3fc5f02f
                Copyright © 2022 by The Author(s). Published by S. Karger AG, Basel

                This article is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC). Usage and distribution for commercial purposes requires written permission.

                History
                : 10 August 2022
                : 14 November 2022
                : 2023
                Page count
                Figures: 3, Tables: 3, References: 30, Pages: 10
                Funding
                This work was supported by National Nature Science Foundation of China (82170727, 81870504 and 81870468), the Shanghai Jiao Tong University Gaofeng Talent Training Plan and a clinical project (20192833), Open Project of Shanghai Key Laboratory of Sleep Disordered Breathing (SHKSDB-KF-19-04), Three-Year Project of Shanghai TCM Development (ZT[2018-2020]-FWTX-2003), Star Program of Shanghai Jiao Tong University (20190102), and Open Project of National Science and Technology Infrastructure of translational medicine (Shanghai, TMSK-2021-109). The sponsors had no role in the design of the study; in the collection, analysis, and interpretation of data; in the writing of the article; and in the decision to submit the article for publication.
                Categories
                Research Article

                musculoskeletal ultrasound,gout,chronic kidney disease,prognosis,renal injury

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