A validated novel preoperative index to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology: A cohort study. Issue 7 (July 2020)

• Record Type: Journal Article
• Authors: Hajibandeh, Shahab; Hajibandeh, Shahin; Hobbs, Nicholas; Shah, Jigar; Harris, Matthew; Watton, Leo; Huq, Zahirul; Dalmia, Sanjay; Malik, Sohail; Mansour, Moustafa
• Is Part Of: Journal of perioperative practice. Volume 30:Issue 7/8(2020)
• Page Start: 221
• Page End: 228
• Publication Date: 2020-07
• Subjects: Laparotomy -- Mortality -- Morbidity -- Peritonitis -- Contamination; Operating room nursing -- Periodicals; 617.9192
• DOI: 10.1177/1750458919875592
• Languages: English
• ISSNs: 2515-7949

Abstract

Aims: To investigate whether an intraperitoneal contamination index (ICI) derived from combined preoperative levels of C-reactive protein, lactate, neutrophils, lymphocytes and albumin could predict the extent of intraperitoneal contamination in patients with acute abdominal pathology. Methods: Patients aged over 18 who underwent emergency laparotomy for acute abdominal pathology between January 2014 and October 2018 were randomly divided into primary and validation cohorts. The proposed intraperitoneal contamination index was calculated for each patient in each cohort. Receiver operating characteristic curve analysis was performed to determine discrimination of the index and cut-off values of preoperative intraperitoneal contamination index that could predict the extent of intraperitoneal contamination. Results: Overall, 468 patients were included in this study; 234 in the primary cohort and 234 in the validation cohort. The analyses identified intraperitoneal contamination index of 24.77 and 24.32 as cut-off values for purulent contamination in the primary cohort (area under the curve (AUC): 0.73, P < 0.0001; sensitivity: 84%, specificity: 60%) and validation cohort (AUC: 0.83, P < 0.0001; sensitivity: 91%, specificity: 69%), respectively. Receiver operating characteristic curve analysis also identified intraperitoneal contamination index of 33.70 and 33.41 as cut-off values for feculent contamination in the primary cohort (AUC: 0.78, P < 0.0001; sensitivity: 87%, specificity: 64%) and validation cohort (AUC: 0.79, P < 0.0001; sensitivity: 86%, specificity: 73%), respectively. Conclusions: As a predictive measure which is derived purely from biomarkers, intraperitoneal contamination index may be accurate enough to predict the extent of intraperitoneal contamination in patients with acute abdominal pathology and to facilitate decision-making together with clinical and radiological findings.