已发表论文

全血细胞计数指标对合并冠状动脉疾病和慢性肾病患者短期死亡率的预测价值

 

Authors An S, Che W, Gao Y, Duo X, Li X, Li J

Received 12 December 2024

Accepted for publication 10 April 2025

Published 16 April 2025 Volume 2025:18 Pages 113—122

DOI https://doi.org/10.2147/IJNRD.S508019

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Professor Pravin Singhal

Shuoyan An, Wuqiang Che, Yanxiang Gao, Xiaoyan Duo, Xingliang Li, Jiahui Li

Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China

Correspondence: Jiahui Li, Department of Cardiology, China-Japan Friendship Hospital, 2 Yinghua Dongjie, Chaoyang District, Beijing, 100029, People’s Republic of China, Tel +86 10 84206170, Email veighlee@163.com

Objective: Patients with chronic kidney disease (CKD) and coronary artery disease (CAD) had a poor prognosis. Indicators derived from complete blood count (CBC), like neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), monocyte-lymphocyte ratio (MLR), Systematic Inflammation Response Index (SIRI), systemic immune-inflammation index (SII) and Pan-Immune-Inflammation Value (PIV) had prognostic significance. But which one performed best in patients with CKD and CAD was still unclear.
Methods: CKD Patients with CAD admitted to ICU were retrospectively included. Patients with sepsis, connective tissue disease, tumor and receiving glucocorticoids were excluded. The primary endpoints encompassed in-hospital mortality and 30-day mortality.
Results: The study comprised 694 participants, with 60 patients died during hospitalization, and another 15 died in 30-day follow-up period. Both the admission level and maximal level of CBC-derived indicators were higher in the deceased group. ROC curve analysis demonstrated that maximal NLR had the highest AUCs - 0.795 for in-hospital mortality and 0.754 for 30-day mortality prediction. Furthermore, Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) analyses further confirmed that adding maximal NLR to the base model, which included traditional risk factors, significantly improved both NRI and IDI (p < 0.05 for both).
Conclusion: The maximum of NLR was with the best predictive value for in-hospital mortality and 30-day mortality in ICU patients with CAD and CKD. Predicting prognosis based on dynamic changes of NLR is more worthy of attention.

Keywords: neutrophil-to-lymphocyte ratio, chronic kidney disease, CKD, coronary artery disease, CAD, mortality, systematic inflammation response index, SIRI