The predictive value of postoperative C-reactive protein (CRP), procalcitonin (PCT) and triggering receptor expressed on myeloid cells 1 (TREM-1) for the early detection of pulmonary infection following laparoscopic general anesthesia for cervical cancer treatment.

BACKGROUND

To analyze the predictive value of postoperative C-reactive protein (CRP), procalcitonin (PCT), and triggering receptor expressed on myeloid cells 1 (TREM-1) for the early detection of pulmonary infection following laparoscopic general anesthesia for cervical cancer treatment.

METHODS

We enrolled 80 patients who underwent radical surgery for cervical cancer in our hospital from March 2018 to March 2020 and divided them into an infected group (n=34) and non-infected group (n=46) according to whether they were complicated by lung infection after surgery. The levels of CRP, PCT, and TREM-1 were compared between the two groups, and logistic regression was used to analyze the risk factors for pulmonary infection. The ROC curve was used to analyze the predictive value of the individual detection of CRP, PCT, or TREM-1 as well as their combined detection.

RESULTS

The levels of CRP, PCT, and TREM-1 in the infected group were higher than those in non-the infected group 24 h after operation (P<0.05) and tumor TNM staging, previous lung disease, postoperative use of a ventilator, intraoperative use of antibacterial drugs, PCT, CRP, and ICAM-1 were significantly correlated with pulmonary infection (P<0.05). The postoperative application of a ventilator, PCT (increasing), CRP (increasing), and ICAM-1 (increasing) were all individual factors that could affect the development of pulmonary infection (P<0.05). ROC curve results showed that the critical score of combined detection was 3.026, and the area under the curve (AUC) was 0.786 (0.637-0.935), the sensitivity was 90.52%, and the specificity was 89.63%.

CONCLUSIONS

The levels of PCT, CRP, and TREM-1 are abnormally increased in patients with pulmonary infection after laparoscopic general anesthesia for cervical cancer treatment. Their combined detection can be used as an effective means to predict the occurrence of pulmonary infections in the early stage and their level should direct timely intervention to improve the prognosis of patients.