Department of Gastroenterology, Union Hospital of Fujian Medical University, Fuzhou 350000, Fujian Province, China.
Liver Research Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou 350000, Fujian Province, China.
World J Gastroenterol. 2020 Aug 28;26(32):4857-4865. 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.
在急性肝衰竭(ACLF)患者中,细菌感染的诊断较为困难。
评估广泛用于 ACLF 细菌感染的参数的诊断准确性,并建立一种简单的评分系统以提高诊断效率。
这是一项回顾性研究。检测降钙素原(PCT)、白细胞(WBC)、中性粒细胞比例(N%)和 C 反应蛋白(CRP)。使用逻辑回归选择评分模型的变量,并使用受试者工作特征曲线(ROC)分析评估不同指标的诊断价值。
本研究共纳入 386 例 ACLF 患者,入院时 169 例(43.78%)发生细菌感染。PCT、CRP、WBC 和 N% 对细菌感染诊断的 ROC 曲线下面积(AUROC)在 0.637 至 0.692 之间,差异无统计学意义。逻辑回归显示,只有 N%、PCT 和 CRP 可以独立预测感染。建立了一个包含 N%、PCT 和 CRP 的新评分系统(感染评分)。感染评分的 AUROC 为 0.740,明显高于其他四个指标(感染评分、N%、PCT、CRP 和 WBC, = 0.0056、0.0001、0.0483 和 0.0008)。感染评分的最佳截断点为 4 分,灵敏度为 78.05%,特异性为 55.29%,阳性预测值为 57.91%,阴性预测值为 76.16%。
感染评分是区分 ACLF 细菌感染的一种简单而有用的工具。