Residential College | false |
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 Publication | Clinical and Translational Medicine |
ISSN | 2001-1326 |
Volume | 12Issue: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. |
DOI | 10.1002/ctm2.1134 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Medicine, Research & Experimental ; Medical Laboratory Technology ; Medical Informatics ; Biochemistry & Molecular Biology |
WOS Subject | Biochemistry & Molecular Biology ; Medical Informatics ; Medical Laboratory Technology ; Medicine, Research & Experimental |
WOS ID | WOS:000892431600001 |
Publisher | JOHN WILEY & SONS LTD |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences |
Corresponding Author | Peng, Hongquan; Poon, Terence Chuen Wai |
Affiliation | 1.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 Affilication | Faculty 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. |
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