Literature DB >> 29895439

Three-year renal function trajectory and its association with adverse renal event in patients with type 2 diabetes.

Tsai-Chung Li1, Tzu-Yun Yu2, Chia-Ing Li3, Chiu-Shong Liu4, Wen-Yuan Lin5, Chih-Hsueh Lin5, Sing-Yu Yang6, Jen-Huai Chiang7, Cheng-Chieh Lin8.   

Abstract

AIMS: The study evaluated associations between 3-year eGFR trajectory patterns and adverse renal event in diabetic patients.
METHODS: Adverse renal event was defined as sustained eGFR <60 or one ACR >300 mg/g creatinine. Cox proportional hazards models evaluated association between eGFR trajectory patterns and adverse renal event.
RESULTS: We detected six clusters. Cluster 1 had a stable but relatively low baseline eGFR level (n = 823, 20.52%), cluster 2 had a high baseline eGFR level, but slightly decreased afterwards (n = 1708, 42.59%), cluster 3 had an increasing eGFR during the first 15-month follow-up and then a decline rate (n = 505, 12.59%), cluster 4 decreased during the first 9-month follow-up and then remained stable (n = 774, 19.30%), cluster 5 had a sharp decline and then was elevated after 21 months until the end of follow-up (n = 135, 3.37%), and cluster 6 had an extremely fluctuating eGFR and then a sharp increase at the last 12-month period (n = 65, 1.62%). Clusters 1, 3, and 4 show increased adverse renal risks compared with cluster 2 (2.24, 1.69-2.97; 2.70, 2.02-3.61; and 2.15, 1.64-2.83, respectively).
CONCLUSIONS: Patients with sustained low-level renal function, renal decline, or increasing trend in eGFR trajectory encountered an increased CKD risk.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ACR; Adverse renal event; Diabetic patients; Trajectory; eGFR

Mesh:

Year:  2018        PMID: 29895439     DOI: 10.1016/j.jdiacomp.2018.05.016

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  2 in total

1.  Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan.

Authors:  Daijo Inaguma; Hiroki Hayashi; Ryosuke Yanagiya; Akira Koseki; Toshiya Iwamori; Michiharu Kudo; Shingo Fukuma; Yukio Yuzawa
Journal:  BMJ Open       Date:  2022-06-09       Impact factor: 3.006

2.  10-Year Renal Function Trajectories in Community-Dwelling Older Adults: Exploring the Risk Factors for Different Patterns.

Authors:  Chia-Ter Chao; Yung-Ming Chen; Fu-Hui Ho; Kun-Pei Lin; Jen-Hau Chen; Chung-Jen Yen
Journal:  J Clin Med       Date:  2018-10-20       Impact factor: 4.241

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.