UM  > Faculty of Health Sciences
Residential Collegefalse
Status已發表Published
Towards equations for estimating glomerular filtration rate without demographic characteristics
Peng, Hongquan1; Ang, Irene Ling2; Liu, Xun3; Aoieong, Chiwa1; Tou, Tou1; Tsai, Tsungyang1; Ngai, Kamleong4; Cheang, Hao I.4; Liu, Peijia3; Poon, Terence Chuen Wai2
2022-12
Source PublicationClinical and Translational Medicine
ISSN2001-1326
Volume12Issue:12Pages:e1134
Abstract

Estimated glomerular filtration rate (eGFR) is an essential index for identifying and monitoring chronic kidney disease (CKD). For estimating GFR, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) research group recently proposed two new serum creatinine-based equations without race, eGFRcr(AS) and eGFRcr-cys(AS), to replace the widely used equations eGFRcr(ASR) and eGFRcr-cys(ASR), that considers serum creatinine, cystatin C (CysC), age, sex and race. The new equations were developed and validated using data mainly from White and Black participants. It remains unknown whether they are applicable to plasma samples as well as to non-White and non-Black subjects. The present study addressed these two questions with a focus on two Chinese CKD cohorts and showed that equations based on other blood metabolites could perform better.

DOI10.1002/ctm2.1134
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaMedicine, Research & Experimental ; Medical Laboratory Technology ; Medical Informatics ; Biochemistry & Molecular Biology
WOS SubjectBiochemistry & Molecular Biology ; Medical Informatics ; Medical Laboratory Technology ; Medicine, Research & Experimental
WOS IDWOS:000892431600001
PublisherJOHN WILEY & SONS LTD
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Corresponding AuthorPeng, Hongquan; Poon, Terence Chuen Wai
Affiliation1.Department of Nephrology, Kiang Wu Hospital, Macau China
2.Pilot Laboratory, Institute of Translational Medicine, Centre for Precision Medicine Research and Training, Faculty of Health Sciences, University of Macau, Macau China
3.Department of Nephrology, The Third Affiliated Hospital of Sun Yat‐sen University, Guangzhou China
4.Clinical Laboratory, Kiang Wu Hospital, Macau China
Corresponding Author AffilicationFaculty of Health Sciences
Recommended Citation
GB/T 7714
Peng, Hongquan,Ang, Irene Ling,Liu, Xun,et al. Towards equations for estimating glomerular filtration rate without demographic characteristics[J]. Clinical and Translational Medicine, 2022, 12(12), e1134.
APA Peng, Hongquan., Ang, Irene Ling., Liu, Xun., Aoieong, Chiwa., Tou, Tou., Tsai, Tsungyang., Ngai, Kamleong., Cheang, Hao I.., Liu, Peijia., & Poon, Terence Chuen Wai (2022). Towards equations for estimating glomerular filtration rate without demographic characteristics. Clinical and Translational Medicine, 12(12), e1134.
MLA Peng, Hongquan,et al."Towards equations for estimating glomerular filtration rate without demographic characteristics".Clinical and Translational Medicine 12.12(2022):e1134.
Files in This Item: Download All
File Name/Size Publications Version Access License
Clinical Translati(1149KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Peng, Hongquan]'s Articles
[Ang, Irene Ling]'s Articles
[Liu, Xun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Peng, Hongquan]'s Articles
[Ang, Irene Ling]'s Articles
[Liu, Xun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Peng, Hongquan]'s Articles
[Ang, Irene Ling]'s Articles
[Liu, Xun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Clinical Translational Med - 2022 - Peng.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.