Predictive Value of the Systemic Immune-Inflammation Index in the 28-Day Mortality for Patients with Sepsis-Associated Acute Kidney Injury and Construction of a Prediction Model

• Published in: Journal of inflammation research 2024-11, Vol.17, p.8727-8739
• Main Authors: Zhang, Lijuan, Liu, Liyan, Yan, Guosheng, Ma, Xu, Zhu, Guizhen, Dong, Xinxin, Lu, Yang, Zhang, Hongtao
• Format: Article
• Language: English
• Subjects: Analysis; China; Hospital patients; Infection; Inflammation; Mortality; Original Research; Patient outcomes; prediction model; prognosis; Risk factors; sepsis-associated acute kidney injury; systemic immune-inflammation index
• ISSN: 1178-7031; 1178-7031
• DOI: 10.2147/JIR.S488900

The predictive value of the Systemic Immune-Inflammation Index (SII) on mortality in patients with sepsis-associated acute kidney injury (S-AKI) remains unclear. This study aims to investigate the predictive value of SII levels at the Intensive Care Unit (ICU) on the 28-day mortality of S-AKI patients. S-AKI patients admitted to the ICU of Henan Provincial People's Hospital from January 1, 2023, to December 31, 2023. Patients who were diagnosed with S-AKI were divided into survival and death groups based on their 28-day outcome after ICU admission. Using receiver operating characteristic (ROC) curves to determine the best cut-off values and prognostic abilities of various parameters. Kaplan-Meier survival curves describe the 28-day survival of patients after ICU admission. Cox regression analysis identified the main risk factors associated with mortality in S-AKI patients, constructing a predictive nomogram. The concordance index (C-index) and decision curve analysis were used to validate the predictive ability of this model. A total of 216 patients with S-AKI were included. ROC analysis showed that SII had the highest predictive value for mortality risk in S-AKI patients after ICU admission. Compared with the low-SII group, the high-SII group had higher 28-day (86.7% vs 32.4%, respectively, P