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肾功能衰竭风险方程和中性粒细胞明胶酶相关脂质运载蛋白对中国人群慢性肾脏病进展的预测价值——一项回顾性研究
Received 11 October 2024
Accepted for publication 23 December 2024
Published 30 December 2024 Volume 2024:17 Pages 6557—6565
DOI https://doi.org/10.2147/IJGM.S497268
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Dr Vinay Kumar
Liu Shi,1,* Youxin Liao,2,* Yue Chen3
1Department of Critical Care Medicine, Jiangjin Central Hospital, Chongqing, 402260, People’s Republic of China; 2Department of Medical Administration, Jiangjin Central Hospital, Chongqing, 402260, People’s Republic of China; 3Department of Oncology, Jiangjin Central Hospital, Chongqing, 402260, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Yue Chen, Department of Oncology, Jiangjin Central Hospital, No. 725, Jiangzhou Road, Dingshan Street, Jiangjin District, Chongqing, 402260, People’s Republic of China, Tel +86-15823491696, Email wenlinlin0606@163.com
Objective: To analyze the independent associations of the Kidney Failure Risk Equation (KFRE) and neutrophil gelatinase-associated lipocalin (NGAL) with end-stage renal disease (ESRD) among patients with chronic kidney disease (CKD) stages 3– 5 in China and evaluate their predictive values for ESRD.
Patients and Methods: A total of 716 patients with CKD stages 3– 5 at the time of the initial renal medicine referral were retrospectively enrolled, and the study outcome was the observed incidence of ESRD at 2 years after the initial referral. Baseline characteristics were collected, and relevant laboratory indexes, including neutrophil gelatinase-associated lipocalin (NGAL), were detected. The binary logistic regression model was used to analyze the independent associations, and the receiver operating characteristic (ROC) curve was used to assess the predictive values.
Results: The 2-year incidence of ESRD was 20.5% (147/716). The 4-variable KFRE, 8-variable KFRE and NGAL were independently associated with ESRD after adjusting for potential confounding factors. The AUCs of the 4-variable KFRE, 8-variable KFRE and NGAL for predicting ESRD among patients with CKD stages 3– 5 were 0.711 [standard error (SE): 0.026, 95% confidence interval (CI): 0.662– 0.761], 0.725 (SE: 0.025, 95% CI: 0.677– 0.774) and 0.736 (SE: 0.024, 95% CI: 0.686– 0.785), respectively. The AUC of the 4-variable KFRE plus NGAL was significantly higher than those of the 4-variable KFRE and NGAL alone (0.900 vs 0.711, Z = 6.297, P < 0.001; 0.900 vs 0.736, Z = 5.795, P < 0.001), and the AUC of the 8-variable KFRE plus NGAL was also significantly higher than those of the 8-variable KFRE and NGAL alone (0.911 vs 0.725, Z = 6.491, P < 0.001; 0.911 vs 0.736, Z = 6.298, P < 0.001).
Conclusion: The KFRE was able to independently predict progression of CKD stage 3– 5 to ESRD in Chinese population. The addition of NGAL to the KFRE was able to elevate the predictive value when applied in predicting 2-year ESRD.
Keywords: chronic kidney disease, end-stage renal disease, kidney failure risk equation, neutrophil gelatinase-associated lipocalin