Literature DB >> 30866052

eGFR and coronary artery calcification in chronic kidney disease.

Young Youl Hyun1, Hyang Kim1, Kook-Hwan Oh2, Curie Ahn2, Sue K Park3, Dong Wan Chae4, Yun Kyu Oh5, Kyu Hun Choi6, Seung Hyeok Han6, Yeong Hoon Kim7, Kyu-Beck Lee1.   

Abstract

BACKGROUND: The independent association between eGFR and coronary artery calcification (CAC) is complex and not clear. The aim of this study is to investigate the relationship between eGFR calculated from different equations and CAC in predialysis CKD patients in Korea.
METHODS: In this cross-sectional study, we analyzed 1,533 patients from the KNOW-CKD cohort. eGFR was calculated by a four-variable MDRD equation (eGFRMDRD ), CKD-EPI creatinine equations (eGFRC r ), CKD-EPI Cystatin C equation (eGFRC ys ), and CKD-EPI Creatinine-Cystatin equation (eGFRC rC ys ). Participants were divided into eGFR categories (< 30, 30-59, 60-89, ≥ 90 ml/min/1.73 m2 ). CACS (coronary artery calcium score) was measured using cardiac computed tomography. CAC was defined as CACS > 100.
RESULTS: CAC was found in 334 (21.8%) patients, and was more prevalent in the lower eGFR groups (p < 0.001). In multivariate Tobit regression, CACS increased gradually as eGFRC rC ys decreased (p for trend = 0.034). In multivariate logistic regression, there were gradual associations between lower eGFR and CAC when an eGFRC ys or eGFRC rC ys was used. The adjusted OR for CAC in the group with eGFR < 30 ml/min/1.73m2 compared to the group with eGFR ≥ 90 ml/min/1.73m2 was 2.64 (95% CI, 1.09-3.60) when eGFRC rC ys was used. Of the four eGFR formulas, only adding eGFRC rC ys significantly improved CAC prediction models without eGFR (p = 0.046).
CONCLUSIONS: There was a gradual and independent association between low eGFR and CAC in a predialysis CKD cohort in Korea. eGFRC rC ys predicted CAC better than other equations in this population. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

Entities:  

Keywords:  zzm321990eGFRzzm321990; chronic kidney disease; coronary artery calcification; renal function

Year:  2019        PMID: 30866052     DOI: 10.1111/eci.13101

Source DB:  PubMed          Journal:  Eur J Clin Invest        ISSN: 0014-2972            Impact factor:   4.686


  4 in total

Review 1.  The KNOW-CKD Study: What we have learned about chronic kidney diseases.

Authors:  Kook-Hwan Oh; Minjung Kang; Eunjeong Kang; Hyunjin Ryu; Seung Hyeok Han; Tae-Hyun Yoo; Soo Wan Kim; Dong-Wan Chae; Kyu-Beck Lee; Sue K Park; Yeong Hoon Kim; Curie Ahn
Journal:  Kidney Res Clin Pract       Date:  2020-06-30

2.  Relationship between Kidney Function and Subclinical Atherosclerosis Progression Evaluated by Coronary Artery Calcification.

Authors:  Namuun Ganbaatar; Aya Kadota; Takashi Hisamatsu; Shin-Ichi Araki; Shinji Kume; Akira Fujiyoshi; Sayaka Kadowaki; Sayuki Torii; Keiko Kondo; Hiroyoshi Segawa; Ebtehal Salman; Itsuko Miyazawa; Takashi Yamamoto; Yoshihisa Nakagawa; Hiroshi Maegawa; Katsuyuki Miura; Hirotsugu Ueshima
Journal:  J Atheroscler Thromb       Date:  2021-10-22       Impact factor: 4.394

3.  Associations between estimated glomerular filtration rate and cardiac biomarkers.

Authors:  Lu Pang; Zhe Wang; Zi-Long Zhao; Qi Guo; Chen-Wei Huang; Jia-Lin Du; Hong-Yun Yang; Hai-Xia Li
Journal:  J Clin Lab Anal       Date:  2020-04-16       Impact factor: 2.352

4.  Effects of vegetarian versus Mediterranean diet on kidney function: Findings from the CARDIVEG study.

Authors:  Monica Dinu; Barbara Colombini; Giuditta Pagliai; Ilaria Giangrandi; Francesca Cesari; Annamaria Gori; Betti Giusti; Rossella Marcucci; Francesco Sofi
Journal:  Eur J Clin Invest       Date:  2021-05-06       Impact factor: 4.686

  4 in total

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