Why the study?
Deep surgical site infections are serious complications after laparotomy, and the predictive value of detecting the neutrophil extracellular trap formation index compared to other clinical infection indicators was evaluated.
Does the Neutrophil extracellular trap formation index (NFI) predict the occurrence of deep surgical site infection after laparotomy better than serum infection indicators?
Does the Neutrophil extracellular trap formation index (NFI) predict the occurrence of deep surgical site infection after laparotomy better than serum infection indicators?
The Neutrophil extracellular trap formation index in drainage fluid is a highly sensitive and specific predictor for early identification of deep surgical site infection after laparotomy.
NFI may aid early DSSI prediction after laparotomy; leaves open superiority to standard markers pending validation.
BACKGROUND: Deep surgical site infections (DSSIs) are serious complications after laparotomy. Neutrophil extracellular traps (NETs) play a vital role in the development of DSSI. Here, we focused on a new approach to predicting the occurrence of DSSI through the detection of the NET formation index (NFI), and compared its prediction ability with other clinical infection indicators. METHODS: Patients who received laparotomy were prospectively enrolled in this study. General information, APACHE II score, SOFA score, and serum infection indicators were recorded. The postoperative abdominal drainage fluid was collected within 3 days after the operation for quantification of the NFI. RESULTS: A total of 92 consecutive patients were included, with 22 patients were diagnosed with DSSI. The NFI in the DSSI group was 32.70%±19.33% while the corresponding index was 10.70%±8.25% in the non-DSSI group (P<0.01). The mean APACHE II and SOFA score had significant differences between the two groups. The NFI was positively correlated with the APACHE II score (P<0.01, r=0.269) and SOFA score (P=0.013, r=0.258). Patients with a high NFI (NFI >13.86%) had a higher risk of developing DSSI. According to the receiver operating characteristic (ROC) curve, the area under the ROC curve (AUC) of the NFI, C-reactive protein (CRP) and procalcitonin (PCT) were 0.912, 0.748 and 0.731, respectively. CONCLUSIONS: In this cohort of surgical patients, the quantification of the NFI had a considerable predictive value for early identification of DSSI. The NFI in drainage fluid turned out to be a more sensitive and specific predictor of DSSI than serum infection indicators including CRP and PCT.
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Duan et al. (2021) studied this question.
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