| Objective To investigate the value of neutrophil-to-lymphocyte ratio (NLR), pancreatic stone protein (PSP) combined with conventional inflammatory markers in predicting infection after permanent cardiac pacemaker implantation (PPI). Methods A total of 266 patients who planned to undergo PPI in the 82nd Military Hospital of the Chinese People's Liberation Army from January 2021 to May 2024 were selected as the research objects. The patients were followed up for 6 months and divided into infection group (n=44) and non-infection group (n =220) according to whether infection occurred. The clinical data, as well as the NLR, PSP, C-reactive protein (CRP) and procalcitonin (PCT) at admission were compared between the two groups. The correlation between NLR, PSP, CRP, PCT at admission and PPI postoperative infection was analyzed by point-biserial column correlation coefficient, logistic regression analysis was used to analyze the effects of NLR, PSP, CRP and PCT on PPI postoperative infection at admission. The receiver operating characteristic (ROC) curve was used to evaluate the individual and combined predictive value of NLR, PSP, CRP and PCT on PPI postoperative infection at admission. Results The NLR, PSP, CRP and PCT in the infection group were higher than those in the non-infection group at admission (P<0.05). Correlation analysis showed that NLR, PSP, CRP and PCT at admission were positively correlated with PPI postoperative infection (r=0.671, 0.636, 0.558, 0.503, P<0.05). Logistic regression analysis showed that NLR, PSP, CRP and PCT at admission were independent influencing factors of postoperative infection of PPI (P<0.05). ROC analysis showed that the area under the curve (AUC) of NLR, PSP, CRP and PCT in predicting infection at admission was 0.712~0.760, and the combined prediction could increase the AUC to 0.893 (95%CI: 0.849~0.927), which was better than the prediction efficiency of each index alone (P<0.05). Conclusion The expression of NLR, PSP, CRP and PCT on admission are all independent influencing factors of PPI postoperative infection. Combined detection can be used as an auxiliary index to predict postoperative infection and guide clinical prevention and treatment. |
