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已发表论文
甘油三酯 - 葡萄糖指数与中性粒细胞与淋巴细胞比值：一项针对 1249 名冠状动脉疾病透析患者的多中心回顾性队列研究中的代谢 - 炎症死亡预测标志物
Authors Li Y, Li P, Tang Q, Jiao T, Gao Y, An S, Jiang H, Cheng H, Yang Z, Zhou J, Sun Y, Yang Y , Zheng J
Received 4 July 2025
Accepted for publication 8 October 2025
Published 15 October 2025 Volume 2025:18 Pages 14203—14215
DOI https://doi.org/10.2147/JIR.S548327
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Rongxue Wu
Yike Li,1,* Peng Li,2,* Qiang Tang,3,* Ting Jiao,4 Yanxiang Gao,5 Shuoyan An,5 Hao Jiang,3 Hui Cheng,6 Zixuan Yang,1 Jiahui Zhou,1 Yuxuan Sun,7 Yining Yang,6 Jingang Zheng1,5
1Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Cardiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 3Department of Cardiology, Peking University Shougang Hospital, Beijing, People’s Republic of China; 4Department of Cardiology, Xinjiang Medical University affiliated second hospital, Urumqi, People’s Republic of China; 5Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 6Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, People’s Republic of China; 7Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Jingang Zheng, Email mdjingangzheng@yeah.net Yining Yang, Email yangyn5126@163.com
Introduction: Hyperlipidemia, impaired glucose tolerance, and inflammatory status are critical contributors to the progression of coronary artery disease (CAD). Biomarkers associated with these pathways may predict clinical outcomes in dialysis-dependent CAD patients. This study aims to compare conventional lipid profiles, inflammatory markers, and insulin resistance-related indicators to evaluate their associations with mortality and prognostic performance in this high-risk population.
Methods: This multicenter retrospective cohort study included 1249 patients from January 2015 to June 2021. 864 patients were finally included in the analysis. Baseline lipid profiles, inflammatory markers, and insulin resistance-related indicator (the triglyceride-glucose [TyG] index) were analyzed.
Results: Among 864 patients, 252 deaths (29.2%) occurred over three years. Both the TyG index (hazard ratio [95% confidence interval]: 1.22 [1.03– 1.44], p=0.024) and inflammatory marker (neutrophil-to-lymphocyte ratio [NLR]: 1.02 [1.00– 1.04], p=0.038) were independently associated with mortality, whereas lipid profiles showed no significant association. Adding the TyG index or NLR to the Global Registry of Acute Coronary Events (GRACE) score (TyG c-index: 0.644 [0.609– 0.679]; NLR c-index: 0.642 [0.607– 0.677]) or baseline model (TyG c-index: 0.707 [0.676– 0.738]; NLR c-index: 0.705 [0.672– 0.738]) improved predictive performance. The combined model integrating TyG index and NLR demonstrated the highest discriminative ability for mortality prediction (GRACE score c-index: 0.660 [0.625– 0.695]; Baseline model c-index: 0.713 [0.682– 0.744]).
Conclusion: The findings indicate that systemic inflammation and insulin resistance are more significant risk factors for three-year mortality in dialysis-dependent CAD patients than dyslipidemia. This suggests that targeted anti-inflammatory therapies and regulation of glucose-lipid metabolism may offer greater benefits compared to conventional lipid-lowering strategies in this high-risk cohort.
Keywords: dialysis, coronary artery disease, inflammation, triglyceride-glucose index, all-cause mortality
1Department of Cardiology, China-Japan Friendship Hospital (Institute of Clinical Medical Sciences), Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China; 2Department of Cardiology, The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi, People’s Republic of China; 3Department of Cardiology, Peking University Shougang Hospital, Beijing, People’s Republic of China; 4Department of Cardiology, Xinjiang Medical University affiliated second hospital, Urumqi, People’s Republic of China; 5Department of Cardiology, China-Japan Friendship Hospital, Beijing, People’s Republic of China; 6Department of Cardiology, People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, People’s Republic of China; 7Department of Cardiology, Peking University China-Japan Friendship School of Clinical Medicine, Beijing, People’s Republic of China
*These authors contributed equally to this work
Correspondence: Jingang Zheng, Email mdjingangzheng@yeah.net Yining Yang, Email yangyn5126@163.com
Introduction: Hyperlipidemia, impaired glucose tolerance, and inflammatory status are critical contributors to the progression of coronary artery disease (CAD). Biomarkers associated with these pathways may predict clinical outcomes in dialysis-dependent CAD patients. This study aims to compare conventional lipid profiles, inflammatory markers, and insulin resistance-related indicators to evaluate their associations with mortality and prognostic performance in this high-risk population.
Methods: This multicenter retrospective cohort study included 1249 patients from January 2015 to June 2021. 864 patients were finally included in the analysis. Baseline lipid profiles, inflammatory markers, and insulin resistance-related indicator (the triglyceride-glucose [TyG] index) were analyzed.
Results: Among 864 patients, 252 deaths (29.2%) occurred over three years. Both the TyG index (hazard ratio [95% confidence interval]: 1.22 [1.03– 1.44], p=0.024) and inflammatory marker (neutrophil-to-lymphocyte ratio [NLR]: 1.02 [1.00– 1.04], p=0.038) were independently associated with mortality, whereas lipid profiles showed no significant association. Adding the TyG index or NLR to the Global Registry of Acute Coronary Events (GRACE) score (TyG c-index: 0.644 [0.609– 0.679]; NLR c-index: 0.642 [0.607– 0.677]) or baseline model (TyG c-index: 0.707 [0.676– 0.738]; NLR c-index: 0.705 [0.672– 0.738]) improved predictive performance. The combined model integrating TyG index and NLR demonstrated the highest discriminative ability for mortality prediction (GRACE score c-index: 0.660 [0.625– 0.695]; Baseline model c-index: 0.713 [0.682– 0.744]).
Conclusion: The findings indicate that systemic inflammation and insulin resistance are more significant risk factors for three-year mortality in dialysis-dependent CAD patients than dyslipidemia. This suggests that targeted anti-inflammatory therapies and regulation of glucose-lipid metabolism may offer greater benefits compared to conventional lipid-lowering strategies in this high-risk cohort.
Keywords: dialysis, coronary artery disease, inflammation, triglyceride-glucose index, all-cause mortality