Different equations for estimating age-related changes of glomerular filtration rate in the healthy population.
Aging
Equation
Glomerular filtration rate
Healthy
Journal
BMC nephrology
ISSN: 1471-2369
Titre abrégé: BMC Nephrol
Pays: England
ID NLM: 100967793
Informations de publication
Date de publication:
17 11 2023
17 11 2023
Historique:
received:
15
05
2023
accepted:
11
11
2023
medline:
20
11
2023
pubmed:
18
11
2023
entrez:
18
11
2023
Statut:
epublish
Résumé
Identifying age-related trend of estimated glomerular filtration rate (eGFR) is necessary to assess whether kidney function is healthily aging. This study aimed to investigate the application of CKD-EPI, FAS, and Xiangya equations for the aging estimation of eGFR in the healthy Chinese individuals. A total of 36,911 healthy individuals were enrolled in this study. We grouped every ten years to observe the trend of eGFR with aging and investigated decline rate of it by general linear regression analysis in each age-groups. Agreement between equations was determined by intraclass correlation coefficient (ICC) and Bland-Altman plot. We calculated reference interval in each age-group. We further analyzed above statistical indicators in males and females. The eGFR by CKD-EPI, and Xiangya equation started to decline from the age of 18. Whereas eGFR by FAS equation remained stable under 40 years, then decreased more rapidly. Compared with males, the females had a higher level but a faster decline rate of eGFR with aging. Agreement analysis revealed good agreement between CKD-EPI and FAS equations (ICC 0.818-0.920). Agreement between Xiangya and CKD-EPI or FAS equations was poor to moderate in most of the population under 70 years old (ICC 0.282-0.786), but good in individuals above 70 years (ICC 0.769-0.881). The trend of eGFR with aging was different by CKD-EPI, FAS, and Xiangya equations in the healthy Chinese. It may be necessary to take these equations- or age-related differences into consideration when assessing kidney function in primary health care and clinical practice.
Sections du résumé
BACKGROUND
Identifying age-related trend of estimated glomerular filtration rate (eGFR) is necessary to assess whether kidney function is healthily aging. This study aimed to investigate the application of CKD-EPI, FAS, and Xiangya equations for the aging estimation of eGFR in the healthy Chinese individuals.
METHODS
A total of 36,911 healthy individuals were enrolled in this study. We grouped every ten years to observe the trend of eGFR with aging and investigated decline rate of it by general linear regression analysis in each age-groups. Agreement between equations was determined by intraclass correlation coefficient (ICC) and Bland-Altman plot. We calculated reference interval in each age-group. We further analyzed above statistical indicators in males and females.
RESULTS
The eGFR by CKD-EPI, and Xiangya equation started to decline from the age of 18. Whereas eGFR by FAS equation remained stable under 40 years, then decreased more rapidly. Compared with males, the females had a higher level but a faster decline rate of eGFR with aging. Agreement analysis revealed good agreement between CKD-EPI and FAS equations (ICC 0.818-0.920). Agreement between Xiangya and CKD-EPI or FAS equations was poor to moderate in most of the population under 70 years old (ICC 0.282-0.786), but good in individuals above 70 years (ICC 0.769-0.881).
CONCLUSIONS
The trend of eGFR with aging was different by CKD-EPI, FAS, and Xiangya equations in the healthy Chinese. It may be necessary to take these equations- or age-related differences into consideration when assessing kidney function in primary health care and clinical practice.
Identifiants
pubmed: 37978461
doi: 10.1186/s12882-023-03397-7
pii: 10.1186/s12882-023-03397-7
pmc: PMC10657123
doi:
Substances chimiques
Creatinine
AYI8EX34EU
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
342Informations de copyright
© 2023. The Author(s).
Références
J Am Soc Nephrol. 2020 Jul;31(7):1602-1615
pubmed: 32499396
Clin Kidney J. 2017 Aug;10(4):545-551
pubmed: 28852494
Am J Kidney Dis. 2010 Aug;56(2):420-1
pubmed: 20599304
Nephrol Dial Transplant. 2006 Sep;21(9):2577-82
pubmed: 16720595
Clin J Am Soc Nephrol. 2017 Jul 7;12(7):1048-1056
pubmed: 28611078
Diabetes Care. 2012 Oct;35(10):2061-8
pubmed: 22773704
Int Urol Nephrol. 2019 Jan;51(1):139-146
pubmed: 30357600
Nephrol Dial Transplant. 2016 May;31(5):798-806
pubmed: 26932693
Adv Chronic Kidney Dis. 2016 Jan;23(1):19-28
pubmed: 26709059
Ann Intern Med. 2009 May 5;150(9):604-12
pubmed: 19414839
Front Pharmacol. 2021 Feb 19;12:615953
pubmed: 33679397
J Int Med Res. 2011;39(6):2273-80
pubmed: 22289543
Am J Kidney Dis. 2009 Jun;53(6):982-92
pubmed: 19339088
Nefrologia (Engl Ed). 2021 Jan-Feb;41(1):27-33
pubmed: 33153776
Kidney Int. 2019 Mar;95(3):636-646
pubmed: 30709663
Kidney Int. 2001 Mar;59(3):1052-8
pubmed: 11231360
Nephron. 2017;135(2):105-119
pubmed: 27764827
BMC Nephrol. 2018 Nov 22;19(1):336
pubmed: 30466393
BMC Nephrol. 2010 Aug 23;11:20
pubmed: 20731848
Nucl Med Commun. 2005 Jan;26(1):61-5
pubmed: 15604949
Am J Kidney Dis. 2004 Jan;43(1):112-9
pubmed: 14712434
Kidney Int. 1999 Jan;55(1):278-85
pubmed: 9893137
Ann Intern Med. 2013 Jun 4;158(11):825-30
pubmed: 23732715