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Analysis of the association between glomerular filtration rate, proteinuria and metabolic syndrome in chronic kidney patients based on longitudinal data

Authors :
Li Guo
Shanshan Guo
Youlan Gong
Jing Li
Jiandong Li
Source :
IET Nanobiotechnology, Vol 17, Iss 5, Pp 476-484 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Chronic kidney disease (CKD) is a group of chronic diseases caused by kidney damage from multiple causes. Metabolic syndrome (MS) manifests as dysfunction of endothelial cells and chronic functional inflammatory states, and may be involved in pathological changes related to renal impairment. Based on longitudinal data analysis of the association between estimated glomerular filtration rate (eGFR), proteinuria and MS in patients with CKD, this study aims to provide new ideas for the pathophysiological mechanism of CKD and a theoretical basis for the early prevention and effective intervention of MS‐related kidney damage. A total of 126 patients with CKD were divided into non‐MS group and MS group. According to the eGFR level, 126 patients with CKD were divided into G1 group, G2 group, G3a group, G3b group, G4 group and G5 group. Serum markers such as eGFR, urine protein, and triglycerides (TG) were collected. The correlation between eGFR, urine protein and MS‐related indexes was analysed, and the risk factors affecting CKD complicated by MS were analysed. In patients with CKD, the levels of urine protein, abdominal circumference, TG, systolic blood pressure (SBP), diastolic blood pressure (DBP), and fasting blood glucose (FPG) were increased with the course of the disease, but the levels of eGFR and high density lipoprotein (HDL‐C) were decreased (p

Details

Language :
English
ISSN :
1751875X and 17518741
Volume :
17
Issue :
5
Database :
Directory of Open Access Journals
Journal :
IET Nanobiotechnology
Publication Type :
Academic Journal
Accession number :
edsdoj.3561724f0fe47c1b66adb764d72fce4
Document Type :
article
Full Text :
https://doi.org/10.1049/nbt2.12146