Development of a novel score for the diagnosis of bacterial infection in patients with acute-on-chronic liver failure

• Published in: World journal of gastroenterology : WJG Vol. 26; no. 32; pp. 4857 - 4865
• Main Authors: Lin, Su, Yan, Yan-Yan, Wu, Yin-Lian, Wang, Ming-Fang, Zhu, Yue-Yong, Wang, Xiao-Zhong
• Format: Journal Article
• Language: English
• Published: United States Baishideng Publishing Group Inc 28.08.2020
• Subjects: Acute-On-Chronic Liver Failure - diagnosis; Bacterial Infections - diagnosis; Biomarkers; C-Reactive Protein - analysis; Calcitonin; Calcitonin Gene-Related Peptide; Humans; Protein Precursors; Retrospective Studies; Retrospective Study; ROC Curve; Bacterial infection; Score; Acute on chronic liver failure
• ISSN: 1007-9327; 2219-2840
• DOI: 10.3748/wjg.v26.i32.4857

The diagnosis of bacterial infection is difficult in patients with acute-on-chronic liver failure (ACLF). To evaluate the diagnostic accuracy of widely used parameters for bacterial infection in ACLF and to develop a simple scoring system to improve diagnostic efficiency. This was a retrospective study. Procalcitonin (PCT), white blood cells (WBC), proportion of neutrophils (N%), and C-reactive protein (CRP) were examined. Logistic regression was used to select variables for the scoring models and receiver operating characteristic curve (ROC) analysis was used to evaluate the diagnostic value of different indices. This study included 386 patients with ACLF, 169 (43.78%) of whom had bacterial infection on admission. The area under the ROC (AUROC) of PCT, CRP, WBC and N% for the diagnosis of bacterial infection ranged from 0.637 to 0.692, with no significant difference between them. Logistic regression showed that only N%, PCT, and CRP could independently predict infection. A novel scoring system (infection score) comprised of N%, PCT and CRP was developed. The AUROC of the infection score was 0.740, which was significantly higher than that for the other four indices (infection score N%, PCT, CRP, and WBC, = 0.0056, 0.0001, 0.0483 and 0.0008, respectively). The best cutoff point for the infection score was 4 points, with a sensitivity of 78.05%, a specificity of 55.29%, a positive predictive value of 57.91% and a negative predictive value of 76.16%. The infection score is a simple and useful tool for discriminating bacterial infection in ACLF.