Inflammatory biomarkers to predict postoperative infectious complications after cytoreductive surgery and HIPEC for peritoneal carcinomatosis

European Journal of Surgical Oncology(2022)

引用 1|浏览14
暂无评分
摘要
Background: Early detection of postoperative infectious complications (IC) is crucial after Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (CRS/HIPEC). The aim of this study was to evaluate the predictive role of early postoperative inflammatory biomarkers level for the detection of postoperative IC. Methods: a retrospective study was performed including 199 patients treated with complete CRS/HIPEC for PC from various primary origins from September 2012 to January 2021. Patients were monitored by a routine measurement of inflammatory biomarkers (CRP, leukocytes, neutrophils, lymphocytes, neutrophile-to-lymphocyte ratio and platelets-to-lymphocyte ratio). Inflammatory biomarkers were compared between patients with vs without IC. Results: IC occurred for 68 patients (34.2%). CRP values were significantly higher in patients with IC on POD 3, 5 and 7 (CRP = 166 mg/L [128-244], 155 mg/L [102-222] and 207 mg/L [135-259], respectively). The CRP on POD7, with a cut-off value of 100 mg/L, was an excellent predictor of postoperative IC (AUC = 90.1%). The CRP on POD 5, with a cut-off value of 90 mg/L, was a good predictor of postoperative IC (AUC = 83.2%). NLR values were significantly higher in patients with IC on POD 3, 5 and 7. NLR on POD 5 and 7 higher than 9.7 and 6.3, respectively, were fair predictors (AUC = 70.8 and 79.6, respectively). Conclusion: CRP levels between POD3 and 7 are the best predictors of postoperative IC after CRS/HIPEC. The presence of postoperative IC should be suspected in patients with CRP higher than 140 mg/L, 90 mg/L or 100 mg/L on PODs 3, 5 or 7. (C) 2021 Elsevier Ltd, BASO similar to The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.
更多
查看译文
关键词
Cytoreductive surgery,Postoperative complications,Inflammatory biomarkers,Prediction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要