eGFR and coronary artery calcification in chronic kidney disease

Young Youl Hyun, Hyang Kim, Kook Hwan Oh, Curie Ahn, Sue K. Park, Dong Wan Chae, Yun Kyu Oh, Kyu Hun Choi, SeungHyeok Han, Yeong Hoon Kim, Kyu Beck Lee

Research output: Contribution to journalArticle

Abstract

Background: The independent association between eGFR and coronary artery calcification (CAC) is complex and not clear. The aim of this study was 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 analysed 1533 patients from the KNOW-CKD cohort. eGFR was calculated by a four-variable MDRD equation (eGFRMDRD), CKD-EPI creatinine equations (eGFRCr), CKD-EPI cystatin C equation (eGFRCys) and CKD-EPI creatinine-cystatin equation (eGFRCrCys). 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: Coronary artery calcification 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 eGFRCrCys decreased (P for trend = 0.034). In multivariate logistic regression, there were gradual associations between lower eGFR and CAC when an eGFRCys or eGFRCrCys was used. The adjusted OR for CAC in the group with eGFR <30 mL/min/1.73 m2 compared to the group with eGFR ≥90 mL/min/1.73 m2 was 2.64 (95% CI, 1.09-3.60) when eGFRCrCys was used. Of the four eGFR formulas, only adding eGFRCrCys 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. eGFRCrCys predicted CAC better than other equations in this population.

Original languageEnglish
Article numbere13101
JournalEuropean Journal of Clinical Investigation
Volume49
Issue number6
DOIs
Publication statusPublished - 2019 Jun 1

Fingerprint

Cystatins
Chronic Renal Insufficiency
Creatinine
Coronary Vessels
Korea
Cystatin C
Logistics
Cross-Sectional Studies
Logistic Models

All Science Journal Classification (ASJC) codes

  • Biochemistry
  • Clinical Biochemistry

Cite this

Hyun, Y. Y., Kim, H., Oh, K. H., Ahn, C., Park, S. K., Chae, D. W., ... Lee, K. B. (2019). eGFR and coronary artery calcification in chronic kidney disease. European Journal of Clinical Investigation, 49(6), [e13101]. https://doi.org/10.1111/eci.13101
Hyun, Young Youl ; Kim, Hyang ; Oh, Kook Hwan ; Ahn, Curie ; Park, Sue K. ; Chae, Dong Wan ; Oh, Yun Kyu ; Choi, Kyu Hun ; Han, SeungHyeok ; Kim, Yeong Hoon ; Lee, Kyu Beck. / eGFR and coronary artery calcification in chronic kidney disease. In: European Journal of Clinical Investigation. 2019 ; Vol. 49, No. 6.
@article{562f3724cf7c4c9e8408534fbdf7fb95,
title = "eGFR and coronary artery calcification in chronic kidney disease",
abstract = "Background: The independent association between eGFR and coronary artery calcification (CAC) is complex and not clear. The aim of this study was 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 analysed 1533 patients from the KNOW-CKD cohort. eGFR was calculated by a four-variable MDRD equation (eGFRMDRD), CKD-EPI creatinine equations (eGFRCr), CKD-EPI cystatin C equation (eGFRCys) and CKD-EPI creatinine-cystatin equation (eGFRCrCys). 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: Coronary artery calcification 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 eGFRCrCys decreased (P for trend = 0.034). In multivariate logistic regression, there were gradual associations between lower eGFR and CAC when an eGFRCys or eGFRCrCys was used. The adjusted OR for CAC in the group with eGFR <30 mL/min/1.73 m2 compared to the group with eGFR ≥90 mL/min/1.73 m2 was 2.64 (95{\%} CI, 1.09-3.60) when eGFRCrCys was used. Of the four eGFR formulas, only adding eGFRCrCys 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. eGFRCrCys predicted CAC better than other equations in this population.",
author = "Hyun, {Young Youl} and Hyang Kim and Oh, {Kook Hwan} and Curie Ahn and Park, {Sue K.} and Chae, {Dong Wan} and Oh, {Yun Kyu} and Choi, {Kyu Hun} and SeungHyeok Han and Kim, {Yeong Hoon} and Lee, {Kyu Beck}",
year = "2019",
month = "6",
day = "1",
doi = "10.1111/eci.13101",
language = "English",
volume = "49",
journal = "European Journal of Clinical Investigation",
issn = "0014-2972",
publisher = "Wiley-Blackwell",
number = "6",

}

Hyun, YY, Kim, H, Oh, KH, Ahn, C, Park, SK, Chae, DW, Oh, YK, Choi, KH, Han, S, Kim, YH & Lee, KB 2019, 'eGFR and coronary artery calcification in chronic kidney disease', European Journal of Clinical Investigation, vol. 49, no. 6, e13101. https://doi.org/10.1111/eci.13101

eGFR and coronary artery calcification in chronic kidney disease. / Hyun, Young Youl; Kim, Hyang; Oh, Kook Hwan; Ahn, Curie; Park, Sue K.; Chae, Dong Wan; Oh, Yun Kyu; Choi, Kyu Hun; Han, SeungHyeok; Kim, Yeong Hoon; Lee, Kyu Beck.

In: European Journal of Clinical Investigation, Vol. 49, No. 6, e13101, 01.06.2019.

Research output: Contribution to journalArticle

TY - JOUR

T1 - eGFR and coronary artery calcification in chronic kidney disease

AU - Hyun, Young Youl

AU - Kim, Hyang

AU - Oh, Kook Hwan

AU - Ahn, Curie

AU - Park, Sue K.

AU - Chae, Dong Wan

AU - Oh, Yun Kyu

AU - Choi, Kyu Hun

AU - Han, SeungHyeok

AU - Kim, Yeong Hoon

AU - Lee, Kyu Beck

PY - 2019/6/1

Y1 - 2019/6/1

N2 - Background: The independent association between eGFR and coronary artery calcification (CAC) is complex and not clear. The aim of this study was 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 analysed 1533 patients from the KNOW-CKD cohort. eGFR was calculated by a four-variable MDRD equation (eGFRMDRD), CKD-EPI creatinine equations (eGFRCr), CKD-EPI cystatin C equation (eGFRCys) and CKD-EPI creatinine-cystatin equation (eGFRCrCys). 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: Coronary artery calcification 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 eGFRCrCys decreased (P for trend = 0.034). In multivariate logistic regression, there were gradual associations between lower eGFR and CAC when an eGFRCys or eGFRCrCys was used. The adjusted OR for CAC in the group with eGFR <30 mL/min/1.73 m2 compared to the group with eGFR ≥90 mL/min/1.73 m2 was 2.64 (95% CI, 1.09-3.60) when eGFRCrCys was used. Of the four eGFR formulas, only adding eGFRCrCys 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. eGFRCrCys predicted CAC better than other equations in this population.

AB - Background: The independent association between eGFR and coronary artery calcification (CAC) is complex and not clear. The aim of this study was 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 analysed 1533 patients from the KNOW-CKD cohort. eGFR was calculated by a four-variable MDRD equation (eGFRMDRD), CKD-EPI creatinine equations (eGFRCr), CKD-EPI cystatin C equation (eGFRCys) and CKD-EPI creatinine-cystatin equation (eGFRCrCys). 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: Coronary artery calcification 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 eGFRCrCys decreased (P for trend = 0.034). In multivariate logistic regression, there were gradual associations between lower eGFR and CAC when an eGFRCys or eGFRCrCys was used. The adjusted OR for CAC in the group with eGFR <30 mL/min/1.73 m2 compared to the group with eGFR ≥90 mL/min/1.73 m2 was 2.64 (95% CI, 1.09-3.60) when eGFRCrCys was used. Of the four eGFR formulas, only adding eGFRCrCys 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. eGFRCrCys predicted CAC better than other equations in this population.

UR - http://www.scopus.com/inward/record.url?scp=85063521045&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063521045&partnerID=8YFLogxK

U2 - 10.1111/eci.13101

DO - 10.1111/eci.13101

M3 - Article

AN - SCOPUS:85063521045

VL - 49

JO - European Journal of Clinical Investigation

JF - European Journal of Clinical Investigation

SN - 0014-2972

IS - 6

M1 - e13101

ER -