AUTHOR=Ren Song , Xv Chuan , Wang Dongqing , Xiao Yan , Yu Panpan , Tang Deying , Yang Juan , Meng Xianglong , Zhang Tao , Zhang Yaling , He Qiang , Li Quiang , Gallagher Martin , Feng Yunlin TITLE=The predictive value of systemic immune-inflammation index for vascular access survival in chronic hemodialysis patients JOURNAL=Frontiers in Immunology VOLUME=15 YEAR=2024 URL=https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1382970 DOI=10.3389/fimmu.2024.1382970 ISSN=1664-3224 ABSTRACT=Objective

To examine the prognostic values of systemic immune-inflammation indices of hemodialysis (HD) vascular access failure and develop a prediction model for vascular access failure based on the most pertinent systemic immune-inflammation index.

Study design

A prospective cohort study.

Setting & participants

Patients undergoing autogenous HD vascular access surgeries or arteriovenous graft as a permanent hemodialysis access in a tertiary center in southwest China from January 2020 to June 2022.

Predictors

Systemic immune-inflammation indices, including NLR, dNLR, AAPR, SIRI, SII, PNI, PLR, and LIPI, and clinical variables.

Outcomes

The outcome was defined as survival of the hemodialysis access, with both occluded and stenotic access being considered as instances of access failure.

Analytical approach

Cox proportional hazard regression model.

Results

2690 patients were included in the study population, of whom 658 experienced access failure during the follow-up period. The median duration of survival for HD vascular access was 18 months. The increased systemic immune-inflammation indices, including dNLR, NLR, SII, PNI, SIRI, PLR, and LIPI, are predictive of HD access failure, with SII demonstrating the strongest prognostic value. A simple SII-based prediction model for HD access failure was developed, achieving C-indexes of 0.6314 (95% CI: 0.6249 – 0.6589) and 0.6441 (95% CI: 0.6212 – 0.6670) for predicting 6- and 12-month access survival, respectively.

Conclusions

Systemic immune-inflammation indices are significantly and negatively associated with HD vascular access survival. A simple SII-based prediction model was developed and anticipates further improvement through larger study cohort and validation from diverse centers.