ArticleJournal of inflammation research2024
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.
Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Development and validation of a nomogram to predict 28-day all-cause mortality in sepsis patients complicated by acute kidney injury.Annals of medicine · 2026Article
- Advanced lung cancer inflammation index is associated with mortality in critically ill patients with acute kidney injury.Clinics (Sao Paulo, Brazil) · 2026Article
- Association between systemic immune-inflammation index and mortality in patients admitted to the intensive care unit after urgent or elective major abdominal surgery.Ulusal travma ve acil cerrahi dergisi = Turkish journal of trauma & emergency surgery : TJTES · 2026Article
- Association of Triglyceride-to-HDL-C Ratio, Triglyceride-Glucose Index, and Inflammatory Biomarkers with Mortality in Intensive Care Unit Patients with Sepsis.Diagnostics (Basel, Switzerland) · 2026Article
- Research advances on the gut-kidney axis theory in sepsis-associated acute kidney injury.Frontiers in pharmacology · 2026Review
- Prediction model for postoperative acute kidney injury in non-cardiac surgical patients: a retrospective cohort study.BMC nephrology · 2025Article
- Prognostic value of the advanced lung cancer inflammation index for 28 day mortality in sepsis associated acute kidney injury.Scientific reports · 2025Article
- Article
- Relationship Between Systemic Immune-Inflammation Index and In-Hospital Mortality in Sepsis Combined With Chronic Obstructive Pulmonary Disease Modified by Mechanical Ventilation.The clinical respiratory journal · 2025Article
- Article
- Predictive value of inflammatory indexes in in-hospital mortality for patients with acute aortic dissection.BMC cardiovascular disorders · 2025Article
- Early 24-Hour Changes in Systemic Immune-Inflammation Index Predict Acute Kidney Injury and Mortality in ICU Patients.Emergency medicine international · 2025Article
- AKI prediction model in acute aortic dissection surgery: nomogram development and validation.Frontiers in medicine · 2025Article
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8 authors.
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Abstract
Purpose: 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. Patients and Methods: 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. Results: 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 <0.001) mortality rate. Based on Cox regression analysis, a nomogram predictive model was constructed, including age, respiratory failure, SII levels, number of organ dysfunctions at ICU admission, sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHEII). The C-index for predicting the 28-day survival rate was 0.682. Decision curve analysis indicated a high level of clinical predictive efficacy. Conclusion: SII serves as a potential biomarker for predicting the prognosis of S-AKI patients. The constructed nomogram prognostic model can aid in assessing the prognosis of S-AKI patients.
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