Laboratory Medicine ›› 2025, Vol. 40 ›› Issue (8): 775-781.DOI: 10.3969/j.issn.1673-8640.2025.08.009

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Establishment and clinical application evaluation of early warning model for acute pancreatitis complicated with AKI

GAO Xiantong, YAO Qianqian, RU Lijuan()   

  1. Department of Critical Care Medicine,Qingdao Jiaozhou Central Hospital,Qingdao 266300,Shandong,China
  • Received:2024-03-12 Revised:2024-12-23 Online:2025-08-30 Published:2025-08-28

Abstract:

Objective To establish an early warning model for acute pancreatitis(AP) complicated with acute kidney injury(AKI) based on clinical data and AKI biomarkers,and to validate and evaluate its clinical efficacy. Methods A total of 100 patients with AP in Qingdao Jiaozhou Central Hospital from January 2021 to December 2023 were enrolled as training set and classified into AKI group(41 cases) and non-AKI group(59 cases) based on whether they were complicated with AKI. All the clinical data were collected,and the biomarkers of AKI [urinary cystatin C(Cys C),urinary kidney injury molecule-1(KIM-1),serum creatinine(SCr),serum liver-type fatty acid binding protein(L-FABP) and serum interleukin-18(IL-18)] were determined. Totally,30 patients with AP in Qingdao Jiaozhou Central Hospital from January to December 2024 were enrolled as external training set. Random forest-Logistic regression analysis was used to evaluate the influencing factors of AP complicated with AKI,and an early warning nomogram model was constructed. The clinical application value of the nomogram model was evaluated by receiver operating characteristic(ROC) curve,calibration curve,decision curve analysis and clinical impact curve. Results The proportion of patients using vasoactive drugs and mechanical ventilation,acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ) score,sequential organ failure assessment(SOFA) score,urinary Cys C,urinary KIM-1,serum L-FABP and serum IL-18 in AKI group were all higher than those in non-AKI group(P<0.05). The top 6 important variables were serum L-FABP,urinary Cys C,urinary KIM-1,serum IL-18,SOFA score and APACHE Ⅱ score. Serum L-FABP,urinary Cys C,urinary KIM-1,serum IL-18,SOFA score and APACHE Ⅱ score were all risk factors for AP complicated with AKI(P<0.05). A nomogram model for predicting AKI in AP patients was established based on the results of Logistic regression analysis. The area under curve(AUC) of the nomogram model was 0.884,the predicted value was consistent with the actual incidence rate(Brier value was 0.107,calibration was 0.811). When the threshold probability value was 25% to 75%,the nomogram model had obvious positive net benefit,and the maximum net benefit was 0.4. There was no statistical significance between the model-predicted values and the actual observed values(χ2=2.516,P=0.842). Conclusions The nomogram model for early warning of AP complicated with AKI established based on serum L-FABP,urinary Cys C,urinary KIM-1,serum IL-18,SOFA score and APACHE Ⅱ score has good clinical applicability and can provide a reference for the risk assessment of AP complicated with AKI.

Key words: Acute kidney injury, Biomarker, Acute pancreatitis, Nomogram model

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