Predictive Value of Serum NGAL and β2 Microglobulin in Blood and Urine amongst Patients with Acute Pancreatitis and Acute Kidney Injury

• Leyao Yuan ^[1] ; Xiaolong Jin ^[2]
  1. [1] Department of Gastroenterology, Northern Jiangsu People’s Hospital, Clinical Medical College of Yangzhou University, 225001 Yangzhou, Jiangsu, China
  2. [2] Department of Gastroenterology, Taizhou Central Hospital (Taizhou University Hospital), 318000 Taizhou, Zhejiang, China
• Localización: Archivos españoles de urología, ISSN 0004-0614, Tomo 76, Nº. 5 (Julio), 2023, págs. 335-340
• Idioma: inglés
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• Resumen

  • Objective: This study aimed to explore the predictive value of neutrophil gelatinase-associated lipocalin (NGAL) and β2 microglobulin (β2-MG) in blood and urine amongst patients with acute pancreatitis (AP) and acute kidney injury (AKI).

    Methods: The clinical data of 80 patients with AP, who were treated in the study hospital from November 2019, to November 2022, were selected for retrospective analysis. They were divided into AKI group (n = 25) and non-AKI group (n = 55) in accordance with the presence of AKI. The levels of serum NGAL and β2-MG in blood and urine were compared in both groups. Logistic regression analysis was used to explore the influencing factors of AKI in patients with AP and the receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of serum NGAL and β2-MG in the blood and urine of patients with AKI and AP.

    Results: The AKI group had higher serum NGAL and β2-MG in blood and urine than the non-AKI group. Logistic regression analysis showed that the high levels of serum NGAL and β2-MG in blood and urine were risk factors for AKI in patients with AP (p < 0.05). The areas under the curve (AUC), sensitivity and specificity of the combined prediction were 0.97, 84.00% and 98.20%, respectively, showing a good prediction efficiency.

    Conclusions: The increased levels of serum NGAL and β2-MG in blood and urine have a warning significance for patients with AP and AKI and a certain predictive value. So, their combination detection provides a reliable reference for the identification of clinical AKI.