ArticleIn vivo (Athens, Greece)
The Systemic Immune-Inflammation Index Predicts Clinical Outcomes in Kidney Transplant Recipients.
Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Predictive Value of Hematologic Inflammatory Indices for Early Dialysis Requirement After Kidney Transplantation.Annals of transplantation · 2026Article
- Article
- The Impact of Hematological Indices on the Occurrence of Delayed Graft Function (DGF) of Transplanted Kidney.Journal of clinical medicine · 2023Article
- The systemic inflammation indexes predict all-cause mortality in peritoneal dialysis patients.Renal failure · 2023Article
- Systemic Immune Inflammation Index as a Key Predictor of Dialysis in Pediatric Chronic Kidney Disease with the Use of Random Forest Classifier.Journal of clinical medicine · 2023Article
- Naples Prognostic Score for Graft Functions After Renal Transplantation: A Retrospective Analysis.Annals of transplantation · 2023Article
- Systemic Immune-Inflammation Index Is Associated With Increased Urinary Albumin Excretion: A Population-Based Study.Frontiers in immunology · 2022Article
- Influence of Surgical Complications on Outcomes in Kidney Transplantation Patients.In vivo (Athens, Greece)Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOutcomes 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
methodsAdult 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.
resultsOverall, 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).
conclusionSII 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.
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