Volume 17, Issue 10 pp. 1559-1567
ORIGINAL ARTICLE: EPIDEMIOLOGY, CLINICAL PRACTICE AND HEALTH

Agreement between Chronic Kidney Disease Epidemiological Collaboration and Berlin Initiative Study equations for estimating glomerular filtration rate in older people: The Invecchiare in Chianti (Aging in Chianti Region) study

Andrea Corsonello

Corresponding Author

Andrea Corsonello

Unit of Geriatric Pharmacoepidemiology, Italian National Research Center on Aging (INRCA), Cosenza, Italy

Correspondence: Andrea Corsonello, MD, Laboratorio di Farmacoepidemiologia Geriatrica, Istituto Nazionale di Ricovero e Cura per Anziani (INRCA). C.da Muoio Piccolo, I87100 Cosenza, Italy. Email: [email protected]Search for more papers by this author
Claudio Pedone

Claudio Pedone

Unit of Geriatric Medicine, University “Campus Biomedico”, Rome, Italy

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Stefania Bandinelli

Stefania Bandinelli

Healthcare Agency of Florence, Florence, Italy

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Luigi Ferrucci

Luigi Ferrucci

National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA

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Raffaele Antonelli Incalzi

Raffaele Antonelli Incalzi

Unit of Geriatric Medicine, University “Campus Biomedico”, Rome, Italy

“Cittadella della Carità” Foundation, Taranto, Italy

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First published: 05 December 2016
Citations: 11

Abstract

Aim

The aim was to investigate to what extent chronic kidney disease (CKD) can be staged interchangeably by Chronic Kidney Disease Epidemiological Collaboration (CKD-EPI) and by Berlin Initiative Study (BIS) equations, and to verify whether cystatin C can improve concordance between formulas.

Methods

Our series consisted of 828 community-dwelling individuals aged 65 years or older enrolled in the Invecchiare in Chianti Study (“Aging in the Chianti Region”). Estimated glomerular filtration rate was calculated using the creatinine-based CKD-EPI, creatinine/cystatin C-based CKD-EPI, creatinine-based BIS and creatinine/cystatin C-based BIS equations. Agreement and sources of discrepancy between equations in identifying people with different degrees of kidney dysfunction was investigated by κ statistic and Bland–Altman plots.

Results

Overall, CKD-EPI values were higher than that obtained with BIS equations, especially for eGFR = 30–60 mL/min/1.73 m2. A total of 191 out of 828 participants were classified in stage 2 by the creatinine-based CKD-EPI and in stage 3a by the creatinine-based BIS equation, whereas 123 participants were classified in stage 2 by creatinine/cystatin C-based CKD-EPI and in stage 3a by the creatinine/cystatin C-based BIS equation. A total of 27 participants were classified in stage 3a by creatinine-based CKD-EPI and in stage 3b by creatinine-based BIS equation, whereas 18 were classified as stage 3a by creatinine/cystatin C-based CKD-EPI and stage 3b by the creatinine/cystatin C-based BIS equation.

Conclusions

Despite a fair overall concordance, the CKD-EPI and BIS equations cannot be considered interchangeable to assess estimated glomerular filtration rate in older people, and using creatinine/cystatin C-based rather than creatinine-based equations only marginally improves the concordance between CKD-EPI and BIS. Disagreement between equations might significantly impact the applications of stage-specific measures for managing CKD among older people. Geriatr Gerontol Int 2017; 17: 1559–1567.

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