Objective To construct a predictive model for postoperative bleeding after low-temperature plasma tonsillectomy and validate the model.Methods A retrospective analysis was conducted on the clinical data of 243 patients who underwent low-temperature plasma tonsillectomy at the Second People's Hospital of Shaanxi Province from January 2018 to December 2022.Univariate and multivariate analyses were conducted on the relevant factors in patients experiencing postoperative bleeding.A predictive model for postoperative bleeding after low-temperature plasma tonsillectomy was constructed using a nomogram method,and predictive performance analysis was conducted.Results Among the 243 patients,there were 147 males and 96 females.Their average age was(25.94±11.47)years.Among the included patients,21 experienced postoperative bleeding,with an incidence rate of 8.64％.The results of univariate analysis showed that the patient's age,degree of tonsil embedding,history of bleeding,postoperative secondary respiratory infections,and improper eating may be related to postoperative bleeding after low-temperature plasma tonsillectomy(t=-4.73),x2=6.58,16.55,14.49,13.19,all P＜0.05).The results of logistic multivariate analysis showed that age,previous bleeding history,and postoperative secondary respiratory infections were independent influential factors for postoperative bleeding after low-temperature plasma tonsillectomy(OR=0.911,4.154,6.891,all P＜0.05).Based on the variables selected from multivariate analyses,a nomogram model was constructed,achieving a C-index of 0.713.Utilizing the independent influential factors and the prediction probability derived from the P-values of the regression model,a receiver operating characteristic curve was created to assess the predictive performance of the nomogram model in relation to postoperative bleeding following a low-temperature plasma tonsillectomy.The Jordan indices were 0.53,0.40,0.29,and 0.64,respectively.Conclusion Age,previous bleeding history,and postoperative secondary respiratory infections are independent influential factors for postoperative bleeding after low-temperature plasma tonsillectomy.The nomogram model established based on this finding has good predictive efficacy and is expected to provide effective guidance for clinical work.
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