ArticleWorld journal of emergency surgery : WJES2018
A combination of SOFA score and biomarkers gives a better prediction of septic AKI and in-hospital mortality in critically ill surgical patients: a pilot study.
Article in World journal of emergency surgery : WJES, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
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Who cites it
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Machine learning-based mortality risk prediction models in patients with sepsis-associated acute kidney injury: a systematic review.Frontiers in medicine · 2025Pooled it
- Kidney injury molecule 1 in the early detection of acute kidney injury-a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- Sarcopenia as a predictor of mortality among the critically ill in an intensive care unit: a systematic review and meta-analysis.BMC geriatrics · 2021Pooled it
- Multi-Marker Approach in Sepsis: A Clinical Role Beyond SOFA Score.Medicina (Kaunas, Lithuania) · 2026Article
- High serum urokinase-type plasminogen activator receptor correlates with sepsis-induced cardiomyopathy in sepsis patients.Frontiers in medicine · 2026Article
- Article
- Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study.Journal of medical Internet research · 2025Article
- Article
- Relationship between intra-bladder pressure and acute kidney injury in patients with acute pancreatitis: interpretable machine learning approach.BMC nephrology · 2025Article
- A comprehensive prognosis model for adult septic shock: SOFAplusCALLY index.European journal of medical research · 2025Article
- Stage prediction of acute kidney injury in sepsis patients using explainable machine learning approaches.Frontiers in medicine · 2025Article
- Association between triglyceride glucose-body mass index and acute kidney injury and renal replacement therapy in critically ill patients with sepsis: analysis of the MIMIC-IV database.Frontiers in endocrinology · 2025Article
- The Sepsis Score Dilemma: Balancing Precision and Utility.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024Article
- Diagnostic and Prognostic Utilities of Pancreatic Stone Protein in Patients with Suspected Sepsis.Diagnostics (Basel, Switzerland) · 2024Article
- Urinary cystatin-C and urinary NGAL associated with sepsis predicts longer hospital stay in premature newborns.Biomarkers in medicine · 2024Article
- A two-tier feature selection method for predicting mortality risk in ICU patients with acute kidney injury.Scientific reports · 2024Article
- Renal arterial resistive index versus novel biomarkers for the early prediction of sepsis-associated acute kidney injury.Internal and emergency medicine · 2024Article
- Plasma proenkephalin and neutrophil gelatinase-associated lipocalin predict mortality in ICU patients with acute kidney injury.BMC nephrology · 2024Article
- Combination of Urinary Neutrophil Gelatinase-associated Lipocalin, Kidney Injury Molecular-1, and Angiotensinogen for the Early Diagnosis and Mortality Prediction of Septic Acute Kidney Injury.Combinatorial chemistry & high throughput screening · 2024Article
- Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients.Frontiers in pharmacology · 2024Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sepsis is a syndrome characterized by a constellation of clinical manifestations and a significantly high mortality rate in the surgical intensive care unit (ICU). It is frequently complicated by acute kidney injury (AKI), which, in turn, increases the risk of mortality. Therefore, it is of paramount importance to identify those septic patients at risk for the development of AKI and mortality. The objective of this pilot study was to evaluate several different biomarkers, including NGAL, calprotectin, KIM-1, cystatin C, and GDF-15, along with SOFA scores, in predicting the development of septic AKI and associated in-hospital mortality in critically ill surgical patients. Methods: Patients admitted to the surgical ICU were prospectively enrolled, having given signed informed consent. Their blood and urine samples were obtained and subjected to enzyme-linked immunosorbent assay (ELISA) to determine the levels of various novel biomarkers. The clinical data and survival outcome were recorded and analyzed. Results: A total of 33 patients were enrolled in the study. Most patients received surgery prior to ICU admission, with abdominal surgery being the most common type of procedure (27 patients (81.8%)). In the study, 22 patients had a diagnosis of sepsis with varying degrees of AKI, while the remaining 11 were free of sepsis. Statistical analysis demonstrated that in patients with septic AKI versus those without, the following were significantly higher: serum NGAL (447.5 ± 35.7 ng/mL vs. 256.5 ± 31.8 ng/mL, Conclusions: This pilot study demonstrated a promising panel that allows an early diagnosis, high sensitivity, and specificity and a prognostic value for septic AKI and in-hospital mortality in surgical ICU. Further study is warranted to validate our findings.
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