Effect of preoperative pan-immune inflammation value on postoperative complications in patients with resectable rectal cancer
Objective To investigate the effect of preoperative pan-immune inflammatory value(PIV)on postoperative complications in patients with resectable rectal cancer.Methods A total of 80 patients with rectal cancer from January 2021 to May 2024 underwent laparoscopic surgery were prospectively selected as the study objects,and divided into study group and control group according to whether postoperative complications occurred.Preoperative PIV,general clinical features and operative data of the two groups were compared and analyzed to explore the influence of preoperative PIV on postoperative complications.Results Postoperative complications occurred in 30 enrolled patients,including 9 cases of pulmonary infection,4 cases of heart failure,4 cases of pleural effusion,6 cases of abdominal infection,1 case of anastomotic leakage,1 case of anastomotic hemorrhage,3 cases of thrombosis,and 2 cases of secondary operation.Fifty patients without complications were enrolled in control group.Preoperative PIV and NLR(neutrophil count/lymphocyte count)in the study group were significantly higher than those in the control group.(302.53±15.45 vs.278.79±25.44,P<0.001;4.29±1.33 vs.3.67±1.25,P=0.039).The American Society of Anesthesiologists(ASA)classification was significantly higher in the study group than in the control group(P=0.049).The intraoperative blood loss in the study group was higher than that in the control group[(100.88±18.59)ml vs.(90.27±17.43)ml,P=0.012)],and the operative time was longer than that in the control group[(215.78±23.02)min vs.(200.59±27.44)min,P=0.013)].Multivariate Logistic regression analysis showed that preoperative PIV,intraoperative blood loss and ASA classification were all risk factors for postoperative complications in patients with rectal cancer(P<0.05).Conclusion Preoperative PIV is a reliable predictor of postoperative complications in patients with rectal cancer,and early intervention measures can be developed to improve the prognosis of patients.
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