[an error occurred while processing this directive]

Predictive performance of whole-blood cell-derived inflammatory markers for all-cause death in maintenance hemodialysis patients

  • YANG Bin ,
  • YANG Yi-Nan ,
  • GU Xiao-Hong ,
  • ZHAO Qing-Qiong
Expand
  • Department of Nephrology,The Second Affiliated Hospital of Guizhou University of Chinese Medicine, Guiyang 550000, China; 2Center of Blood Purification,Hongyan District, the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine, Guiyang 550003, China

Received date: 2024-11-25

  Revised date: 2025-06-27

  Online published: 2025-09-12

Abstract

Objective  To investigate the predictive value of whole blood cell-derived inflammatory indicators for all-cause mortality in maintenance hemodialysis (MHD) patients.  Methods  A total of 335 MHD patients from January 2022 to December 2022 at Guizhou University of Traditional Chinese Medicine Second Affiliated Hospital were included. They were divided into a deceased group (n=53) and a survival group (n=282) based on follow-up outcomes. Levels of inflammatory indicators were compared between groups. Restricted cubic splines (RCS) and logistic regression analyzed associations between inflammatory indicators and mortality risk. Receiver operating characteristic (ROC) curves assessed predictive value.  Results  Patients in the deceased group had higher neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), neutrophil-monocyte to lymphocyte ratio (NMLR), systemic immune inflammatory index (SII), systemic inflammatory response index (SIRI), and platelet/lymphocyte ratio (PLR) than those in the survival group (Z=-5.746, -5.275, -5.784, -4.446, -6.087, -2.222; all P<0.05). RCS showed nonlinear relationships between SIRI, NLR, MLR, NMLR, PLR, and all-cause mortality (χ²=11.480, 20.440, 17.500, 18.830, 13.540, 10.750; P =0.003, <0.001, <0.001, <0.001, 0.001, 0.005). After adjusting for confounders, logistic regression identified NLR (OR=2.324, 95% CI :1.461~3.698, P<0.001), SII (OR=2.047, 95%  CI :1.365~3.070, P<0.001), SIRI (OR=1.623, 95% CI :1.080~2.437, P=0.017), and NMLR (OR=2.302, 95%  CI :1.457~3.636, P<0.001) as independent risk factors. AUCs for predicting mortality were: NLR 0.822(95% CI :0.756~0.888), NMLR 0.822(95% CI :0.756~0.888), SII 0.817(95% CI :0.750~0885), and SIRI 0.814s    (95% CI :0.747~0881).  Conclusion   NLR, NMLR, SII, and SIRI are significantly associated with the risk of all-cause mortality in MHD patients and can effectively predict mortality risk.

Cite this article

YANG Bin , YANG Yi-Nan , GU Xiao-Hong , ZHAO Qing-Qiong . Predictive performance of whole-blood cell-derived inflammatory markers for all-cause death in maintenance hemodialysis patients[J]. Chinese Journal of Blood Purification, 2025 , 24(09) : 737 -741 . DOI: 10.3969/j.issn.1671-4091.2025.09.004

References

1. Ao G, Wang Y, Qi X, et al. Association of neutrophil-to-lymphocyte ratio and risk of cardiovascular or all-cause mortality in chronic kidney disease: a meta-analysis [J]. Clin Exp Nephrol. 2021 Feb;25(2):157-165.
2. Ate? K, Yilmaz O, Kutlay S, et al. Serum C-reactive protein level is associated with renal function and it affects echocardiographic cardiovascular disease in pre-dialysis patients [J]. Nephron Clin Pract. 2005;101(4):c190-197.
3. Barreto DV, Barreto FC, Liabeuf S, et al. Plasma interleukin-6 is independently associated with mortality in both hemodialysis and pre-dialysis patients with chronic kidney disease [J]. Kidney Int. 2010 Mar;77(6):550-556.
4. Beberashvili I, Sinuani I, Azar A, et al. Serum uric acid as a clinically useful nutritional marker and predictor of outcome in maintenance hemodialysis patients [J]. Nutrition. 2015 Jan;31(1):138-147.
5. Black S, Kushner I, Samols D. C-reactive Protein [J]. J Biol Chem. 2004 Nov 19;279(47):48487-48490.
6. Bossola M, Sanguinetti M, Scribano D, et al. Circulating bacterial-derived DNA fragments and markers of inflammation in chronic hemodialysis patients [J]. Clin J Am Soc Nephrol. 2009 Feb;4(2):379-385.
7. Catabay C, Obi Y, Streja E, Soohoo M, et al. Lymphocyte Cell Ratios and Mortality among Incident Hemodialysis Patients [J]. Am J Nephrol. 2017;46(5):408-416.
8. Choi SR, Lee YK, Cho AJ, et al. Malnutrition, inflammation, progression of vascular calcification and survival: Inter-relationships in hemodialysis patients [J]. PLoS One. 2019;14(5):e0216415.
9. Cozzolino M, Mangano M, Stucchi A, et al. Cardiovascular disease in dialysis patients [J]. Nephrol Dial Transplant. 2018 Oct 1;33(suppl_3):iii28-iii34.
10. Jacobson SH, Hylander B, Thylén P, et al. Monocyte-related determinants of inflammation in patients on peritoneal dialysis [J]. Am J Nephrol. 2001 Jan-Feb;21(1):40-46.
11. Jin Z, Wu Q, Chen S, et al. The Associations of Two Novel Inflammation Indexes, SII and SIRI with the Risks for Cardiovascular Diseases and All-Cause Mortality: A Ten-Year Follow-Up Study in 85,154 Individuals [J]. J Inflamm Res. 2021;14:131-140.
12. Kato A, Takita T, Furuhashi M, et al. Blood monocyte count is a predictor of total and cardiovascular mortality in hemodialysis patients [J]. Nephron Clin Pract. 2008;110(4):c235-243.
13. Lisa A, Carbone F, Liberale L, et al. The Need to Identify Novel Markers for Early Renal Injury in Cardiorenal Syndrome [J]. Cells. 2024 Jul 30;13(15).
14. Logue Cook RN, Brown SH, Hasson RE, et al. Is maximum grip strength a reliable predictor of hand limitations among older adults? [J] Aging Clin Exp Res. 2022 Oct;34(10):2505-2514.
15. Menon V, Greene T, Wang X, et al. C-reactive protein and albumin as predictors of all-cause and cardiovascular mortality in chronic kidney disease [J]. Kidney Int. 2005 Aug;68(2):766-772.
16. Okyay GU, Inal S, One? K, et al. Neutrophil to lymphocyte ratio in evaluation of inflammation in patients with chronic kidney disease [J]. Ren Fail. 2013;35(1):29-36.
17. Ouellet G, Malhotra R, Penne EL, et al. Neutrophil-lymphocyte ratio as a novel predictor of survival in chronic hemodialysis patients [J]. Clin Nephrol. 2016 Apr;85(4):191-198.
18. Sánchez-Gastaldo A, Mu?oz-Fuentes MA, Molina-Pinelo S, et al. Correlation of peripheral blood biomarkers with clinical outcomes in NSCLC patients with high PD-L1 expression treated with pembrolizumab [J]. Transl Lung Cancer Res. 2021 Jun;10(6):2509-2522.
19. Sato H, Takeuchi Y, Matsuda K, et al. Pre-Dialysis Neutrophil-Lymphocyte Ratio, a Novel and Strong Short-Term Predictor of All-Cause Mortality in Patients With Diabetic Nephropathy: Results From a Single-Center Study [J]. Ther Apher Dial. 2017 Aug;21(4):370-377.
20. Tian J, Hou X, Hu L, et al. Efficacy comparison of atorvastatin versus rosuvastatin on blood lipid and microinflammatory state in maintenance hemodialysis patients [J]. Ren Fail. 2017 Nov;39(1):153-158.
21. Turkmen K, Tonbul HZ, Toker A, et al. The relationship between oxidative stress, inflammation, and atherosclerosis in renal transplant and end-stage renal disease patients [J]. Ren Fail. 2012;34(10):1229-1237.
22. Uslu AU, Kü?ük A, ?ahin A, et al. Two new inflammatory markers associated with Disease Activity Score-28 in patients with rheumatoid arthritis: neutrophil-lymphocyte ratio and platelet-lymphocyte ratio [J]. Int J Rheum Dis. 2015 Sep;18(7):731-735.
23. Wang Y, Yuan M, Ma Y, et al. The Admission (Neutrophil+Monocyte)/Lymphocyte Ratio Is an Independent Predictor for In-Hospital Mortality in Patients With Acute Myocardial Infarction [J]. Front Cardiovasc Med. 2022;9:870176.
24. Wen Y, Zhan X, Wang N, et al. Monocyte/Lymphocyte Ratio and Cardiovascular Disease Mortality in Peritoneal Dialysis Patients [J]. Mediators Inflamm. 2020;2020:9852507.
25. Xiang F, Chen R, Cao X, et al. Monocyte/lymphocyte ratio as a better predictor of cardiovascular and all-cause mortality in hemodialysis patients: A prospective cohort study [J]. Hemodial Int. 2018 Jan;22(1):82-92.
26. Zhang M, Wang K, Zheng H, et al. Monocyte lymphocyte ratio predicts the new-onset of chronic kidney disease: A cohort study [J]. Clin Chim Acta. 2020 Apr;503:181-189.
27. Zhang Y, Liu F, Wang Y. Evidence of the Prognostic Value of Pretreatment Systemic Inflammation Response Index in Cancer Patients: A Pooled Analysis of 19 Cohort Studies [J]. Dis Markers. 2020;2020:8854267.
28. 陈建华, 陈林青, 曹爱芹, 等. 全身炎症反应指数与血液透析患者心血管事件的相关性研究[J]. 中国血液净化. 2023;22(09):663-637.
29. 芦倩倩, 常沁涛, 方敬爱, 等. 维持性血液透析患者微炎症状态的研究进展[J]. 中国血液净化. 2021;20(07):483-485.
30. 张国娟, 黄雯. 血小板/淋巴细胞比值与维持性血液透析患者炎症状态的关系[J]. 中国血液净化. 2017;16(07):459-462.
Options
Outlines

/

[an error occurred while processing this directive]