ArticleBMC infectious diseases2025
Inflammatory parameters in the prediction of sepsis-induced acute kidney injury: a case-control study.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- The Prognostic Value of Cardiac Biomarkers in Combination with the SOFA Score for the Evaluation of Sepsis-Related Mortality.Medicina (Kaunas, Lithuania) · 2026Article
- Targeted Sirtuin 3 Activation by Biomimetic Black Phosphorus Nanosheets Mitigates Sepsis-Induced Acute Kidney Injury through Yeast Mitochondrial Escape 1-Like 1 Deacetylation.Biomaterials research · 2026Article
- Construction and validation of a sepsis prediction model using inflammatory and hemodynamic markers in the emergency department.Frontiers in medicine · 2026Article
- Lycopene inhibits ER stress and apoptosis while modulating PI3K/AKT and enhancing antioxidant and anti-apoptotic proteins.PloS one · 2025Article
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Authors and funding
10 authors.
Funding
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Abstract
backgroundAlthough hypovolemia was long considered the main cause of sepsis-induced acute kidney injury (SI-AKI), current theories explore multifactorial causes of injury (inflammation, immune response, ischaemia-reperfusion system and hypovolemia). The aim of this study was to determine the significance of inflammatory parameters (leucocyte, neutrophil, lymphocyte, neutrophil-to-lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT)) and mean-arterial pressure (MAP)) in prediction of SI-AKI development.
methodsA total of 257 septic patients (Sepsis-3 criteria) were included. Patients were divided into two groups based on SI-AKI development (with SI-AKI, n = 133; without SI-AKI, n = 124). All patients had complete blood count with leukocyte formula, CRP, PCT, SOFA and qSOFA score available. Statistical analysis included non-parametric Mann-Whitney test, Spearman's correlations, ROC curve analysis, as well as binary logistic regression in order to identify independent predictors of SI-AKI.
resultsCRP (p < 0.001), PCT (p < 0.001) and NLR (p = 0.002) were higher in the SI-AKI group, and showed a significant correlation with creatinine levels (p < 0.001). MAP was significantly lower in the SI-AKI group (p = 0.043). Binary logistic regression analysis showed that CRP and PCT were only independent predictors of SI-AKI, along with SOFA score. ROC curve analysis showed that CRP ≥ 199 mg/L, and PCT ≥ 13ng/L represent the cut-off values for SI-AKI prediction.
conclusionsObtained results highlight the potential role of the inflammatory response in SI-AKI development.
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