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


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Abstract

Background:Acute kidney injury (AKI) is one of the most severe complications of sepsis. This study was conducted to analyze the role of urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary kidney injury molecular-1 (uKIM-1), and urinary angiotensinogen (uAGT) in the early diagnosis and mortality prediction of septic AKI.

Methods:The prospective study enrolled 80 sepsis patients in the ICU and 100 healthy individuals and divided patients into an AKI group and a non-AKI group. uNGAL, uKIM-1, uAGT, serum creatinine/procalcitonin/C-reaction protein, and other indicators were determined, and clinical prediction scores were recorded. The sensitivity and specificity of uNGAL, uKIM-1, and uAGT in diagnosis and mortality prediction were analyzed by the receiver operator characteristic (ROC) curve and the area under the curve (AUC).

Results:uNGAL, uKIM-1, and uAGT levels were higher in sepsis patients than healthy controls, higher in AKI patients than non-AKI patients, and higher in AKI-2 and AKI-3 patients than AKI-1 patients. At 0 h after admission, the combined efficacy of three indicators in septic AKI diagnosis (ROC-AUC: 0.770; sensitivity: 82.5%; specificity: 70.0%) was better than a single indicator. At 24 h, uNGAL, uKIM-1, and uAGT levels were higher in sepsis non-survivals than survivals and higher in septic AKI non-survivals than septic AKI survivals. The combined efficacy of three indicators in the prediction of sepsis/septic AKI mortality (ROC-AUC: 0.828/0.847; sensitivity: 71.4%/100.0%; specificity: 82.7%/66.7%) was better than a single indicator.

Conclusion:uNGAL, uKIM-1, and uAGT levels were increased in septic AKI, and their combination helped the early diagnosis and mortality prediction.

About the authors

Na Li

Department of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province

Email: info@benthamscience.net

Xuelian Zhang

Department of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province

Email: info@benthamscience.net

Peng Wan

Department of Critical Care Medicine, The First College of Clinical Medical Science, China Three Gorges University (Yichang Central People's Hospital)

Email: info@benthamscience.net

Min Yu

Department of Critical Care Medicine, The First College of Clinical Medical Science, China Three Gorges University (Yichang Central People's Hospital)

Email: info@benthamscience.net

Jinyi Min

Department of Critical Care Medicine, Dangyang Renmin Hospital of Hubei Province

Author for correspondence.
Email: info@benthamscience.net

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