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

Abstract

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.

Department

Description

Provenance

Subjects

Neutrophils, Humans, Inflammation, Lymphocyte Count, Prognosis, Kidney Transplantation, Retrospective Studies, Adult

Citation

Published Version (Please cite this version)

10.21873/invivo.12173

Publication Info

Halpern, Samantha E, Dimitrios Moris, Brian I Shaw, Madison K Krischak, Danae G Olaso, Samuel J Kesseli, Kadiyala Ravindra, Lisa M McElroy, et al. (2020). The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients. In vivo (Athens, Greece), 34(6). pp. 3349–3360. 10.21873/invivo.12173 Retrieved from https://hdl.handle.net/10161/33509.

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Scholars@Duke

Kesseli

Samuel Kesseli

House Staff
Ravindra

Kadiyala Venkata Ravindra

Professor of Surgery
McElroy

Lisa M McElroy

Associate Professor of Surgery

I am an abdominal transplant surgeon with a health services research lab focused on understanding how complex health care processes and large multidisciplinary teams affect outcomes of high cost, high acuity patients.  I have a master's degree in health services and outcomes research methodology with supplemental training in health disparities research methods, engineering methods for healthcare system and process assessment, organizational behavior theory and change management, and implementation science.

As my research has progressed, an emerging theme has been the interplay between biologic and social risk, which each contribute to a patient’s ultimate success but receive disproportionate consideration in anticipation of and in response to subpar outcomes. I am currently involved in several efforts that build on this concept and employ an approach to health equity research that accounts for center and organizational-level characteristics when examining differences in care based on social determinants of health. 

Barbas

Andrew Serghios Barbas

Associate Professor of Surgery

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