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The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.

Publication ,  Journal Article
Halpern, SE; Moris, D; Shaw, BI; Krischak, MK; Olaso, DG; Kesseli, SJ; Ravindra, K; McElroy, LM; Barbas, AS
Published in: In Vivo
2020

BACKGROUND: Outcomes after kidney transplantation (KTx) remain limited by delayed graft function (DGF) and acute rejection. Non-invasive biomarkers may help identify patients at increased risk for these events. We examined the association between the systemic immune-inflammation index (SII), a novel inflammatory biomarker, and outcomes after KTx and evaluated its ability to predict post-transplant prognosis. PATIENTS AND METHODS: Adult patients who underwent primary KTx at our institution between 2016-2019 were included. SII was calculated from pre-transplant complete blood counts as the ratio of the neutrophil count to the lymphocyte count multiplied by the platelet count. The cutoff between high and low SII was determined by maximizing the area under the curve. Multivariable logistic and Cox regression were used to identify factors associated with DGF and patient, rejection-free, and graft survival respectively. RESULTS: Overall, 378 KTx recipients were included; 224 (59.3%) had high SII. On unadjusted analysis, high SII was associated with reduced odds of DGF, and improved patient and rejection-free survival. After adjustment, high SII was independently associated with improved patient survival alone. Multivariable models incorporating SII performed well for the prediction of DGF (c-statistic=0.755) and patient survival (c-statistic=0.786), though rejection-free survival was more difficult to predict (c-statistic=0.635). CONCLUSION: SII demonstrated limited utility as an independent predictor of outcomes after KTx. However, in combination with other clinically relevant parameters, SII is a useful predictor of post-KTx prognosis. Validation of this novel inflammatory biomarker in a multi-institutional study is needed to further elucidate its practical applications in transplantation.

Duke Scholars

Published In

In Vivo

DOI

EISSN

1791-7549

Publication Date

2020

Volume

34

Issue

6

Start / End Page

3349 / 3360

Location

Greece

Related Subject Headings

  • Retrospective Studies
  • Prognosis
  • Oncology & Carcinogenesis
  • Neutrophils
  • Lymphocyte Count
  • Kidney Transplantation
  • Inflammation
  • Humans
  • Adult
  • 3211 Oncology and carcinogenesis
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Halpern, S. E., Moris, D., Shaw, B. I., Krischak, M. K., Olaso, D. G., Kesseli, S. J., … Barbas, A. S. (2020). The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients. In Vivo, 34(6), 3349–3360. https://doi.org/10.21873/invivo.12173
Halpern, Samantha E., Dimitrios Moris, Brian I. Shaw, Madison K. Krischak, Danae G. Olaso, Samuel J. Kesseli, Kadiyala Ravindra, Lisa M. McElroy, and Andrew S. Barbas. “The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.In Vivo 34, no. 6 (2020): 3349–60. https://doi.org/10.21873/invivo.12173.
Halpern SE, Moris D, Shaw BI, Krischak MK, Olaso DG, Kesseli SJ, et al. The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients. In Vivo. 2020;34(6):3349–60.
Halpern, Samantha E., et al. “The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.In Vivo, vol. 34, no. 6, 2020, pp. 3349–60. Pubmed, doi:10.21873/invivo.12173.
Halpern SE, Moris D, Shaw BI, Krischak MK, Olaso DG, Kesseli SJ, Ravindra K, McElroy LM, Barbas AS. The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients. In Vivo. 2020;34(6):3349–3360.

Published In

In Vivo

DOI

EISSN

1791-7549

Publication Date

2020

Volume

34

Issue

6

Start / End Page

3349 / 3360

Location

Greece

Related Subject Headings

  • Retrospective Studies
  • Prognosis
  • Oncology & Carcinogenesis
  • Neutrophils
  • Lymphocyte Count
  • Kidney Transplantation
  • Inflammation
  • Humans
  • Adult
  • 3211 Oncology and carcinogenesis