1.Risk factors for postoperative infection in oral squamous cell carcinoma
Tong WU ; Zhihui PEI ; Guanzhu LU ; Zhonglong LIU ; Yujie BAO ; Jie XU
Chinese Journal of Infectious Diseases 2025;43(5):287-293
Objective:To investigate the incidence of postoperative infection and its risk factors in patients with oral squamous cell carcinoma (OSCC), so that to provide a clinical basis for the prevention and management of postoperative infection in these patients.Methods:Ninety-seven patients pathologically diagnosed with OSCC who underwent surgical treatment in the Department of Oral and Craniomaxillofacial Oncology, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine between December 2020 and March 2022 were included. This study was a clinical retrospective cohort study. The clinical characteristics and preoperative laboratory indicators of the included patients were collected. Based on the presence or absence of infection, the patients were divided into infection group and non-infection group. Chi-square test and independent samples t test were used for statistical methods. Binary logistic regression analysis was used to identify influencing factors for postoperative infection, and interaction terms were introduced to assess effect modification between variables. Results:Among the 97 patients, 46(47.42%) developed postoperative infections, of which 44(95.65%) were pulmonary infections. The proportion of hypertension in the infection group was 43.48%(20/46), which was higher than 23.53%(12/51) in the non-infection group, and the difference was statistically significant ( χ2=4.35, P=0.037). The preoperative glycosylated hemoglobin level in the infection group was 6.26%±0.85%, which was higher than that in the non-infection group (5.77%±0.57%), and the difference was statistically significant ( t=-2.81, P=0.007). Binary logistic regression analysis showed that male (odds ratio ( OR)=0.598, 95% confidence interval ( CI) 0.519 to 0.689, P<0.001), absence of diabetes ( OR=0.416, 95% CI 0.340 to 0.509, P<0.001), and absence of hypertension ( OR=0.647, 95% CI 0.569 to 0.735, P<0.001) were protective factors against postoperative infection. Age>60 years ( OR=1.159, 95% CI 1.031 to 1.304, P=0.014) and alcohol consumption ( OR=1.262, 95% CI 1.024 to 1.555, P=0.029) were risk factors for postoperative infection. Effect modification analysis found that males without diabetes ( OR=0.027, 95% CI 0.001 to 0.687, P=0.029) and the absence of both diabetes and hypertension ( OR=0.378, 95% CI 0.163 to 0.880, P=0.024) were also protective factors against postoperative infection. Conclusions:Risk factors for postoperative infection in OSCC include elder age, alcohol consumption, hypertension, and poor preoperative glycemic control. Therefore, clinical practice should enhance preoperative assessment, promote lifestyle modifications, optimize perioperative blood pressure management, implement glycemic control, and provide perioperative alcohol cessation interventions to reduce the risk of postoperative infection.
2.Risk factors for postoperative infection in oral squamous cell carcinoma
Tong WU ; Zhihui PEI ; Guanzhu LU ; Zhonglong LIU ; Yujie BAO ; Jie XU
Chinese Journal of Infectious Diseases 2025;43(5):287-293
Objective:To investigate the incidence of postoperative infection and its risk factors in patients with oral squamous cell carcinoma (OSCC), so that to provide a clinical basis for the prevention and management of postoperative infection in these patients.Methods:Ninety-seven patients pathologically diagnosed with OSCC who underwent surgical treatment in the Department of Oral and Craniomaxillofacial Oncology, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine between December 2020 and March 2022 were included. This study was a clinical retrospective cohort study. The clinical characteristics and preoperative laboratory indicators of the included patients were collected. Based on the presence or absence of infection, the patients were divided into infection group and non-infection group. Chi-square test and independent samples t test were used for statistical methods. Binary logistic regression analysis was used to identify influencing factors for postoperative infection, and interaction terms were introduced to assess effect modification between variables. Results:Among the 97 patients, 46(47.42%) developed postoperative infections, of which 44(95.65%) were pulmonary infections. The proportion of hypertension in the infection group was 43.48%(20/46), which was higher than 23.53%(12/51) in the non-infection group, and the difference was statistically significant ( χ2=4.35, P=0.037). The preoperative glycosylated hemoglobin level in the infection group was 6.26%±0.85%, which was higher than that in the non-infection group (5.77%±0.57%), and the difference was statistically significant ( t=-2.81, P=0.007). Binary logistic regression analysis showed that male (odds ratio ( OR)=0.598, 95% confidence interval ( CI) 0.519 to 0.689, P<0.001), absence of diabetes ( OR=0.416, 95% CI 0.340 to 0.509, P<0.001), and absence of hypertension ( OR=0.647, 95% CI 0.569 to 0.735, P<0.001) were protective factors against postoperative infection. Age>60 years ( OR=1.159, 95% CI 1.031 to 1.304, P=0.014) and alcohol consumption ( OR=1.262, 95% CI 1.024 to 1.555, P=0.029) were risk factors for postoperative infection. Effect modification analysis found that males without diabetes ( OR=0.027, 95% CI 0.001 to 0.687, P=0.029) and the absence of both diabetes and hypertension ( OR=0.378, 95% CI 0.163 to 0.880, P=0.024) were also protective factors against postoperative infection. Conclusions:Risk factors for postoperative infection in OSCC include elder age, alcohol consumption, hypertension, and poor preoperative glycemic control. Therefore, clinical practice should enhance preoperative assessment, promote lifestyle modifications, optimize perioperative blood pressure management, implement glycemic control, and provide perioperative alcohol cessation interventions to reduce the risk of postoperative infection.
3.The role of pretreatment FDG standard uptake value in predicting for clinical outcome in locally advanced nasopharyngeal carcinoma
Anan XU ; Fei HAN ; Lixia LU ; Xiuquan HU ; Xiaoping LIN ; Wei FAN ; Guanzhu SHEN ; Yanqing CAO ; Chong ZHAO
Chinese Journal of Radiation Oncology 2012;21(3):209-213
ObjectiveTo explore the prognostic value of pretreated maximum standardized uptake value (SUVmax) using 18-fluorodeoxyglucose positron emission tomography with computed tomography (18FDG PET/CT) in locally-advanced nasopharyngeal carcinoma (NPC) treated by intensity-modulated radiotherapy (IMRT).MethodsOne hundred and forty previously untreated stage Ⅲ - Ⅳb ( UICC/AJCC 6th) patients with biopsy-proven nasopharyngeal carcinoma were examined.All of the enrolled patients accepted whole body/head-neck 18FDG PET/CT before radical IMRT. 18FDG uptakes were recorded as SUVmax of primary tumor (SUVmax-P) and SUVmax of cervical lymph nodes (SUVmax-N).The relationships between SUVmax and long-term clinical outcomes were analyzed.ResultsThe median SUVmax-P was 10.4,and the median SUVmax-N was 6.2.The SUVmax-P was weakly correlated with T-stage ( R =0.279,P =0.001 ).The SUVmax-N was weakly correlated with N stage ( R =0.334,P =0.000 ).There were no difference of the median SUVmax-P (9.2 vs.10.4,U =560.50,P =0.805 ) and the median SUVmax-N (4.0vs.5.0,U =576.00,P =0.908) between patients with and without local recurrence.The median SUVmax-P of patients with distant metastasis was significantly higher than those without metastasis (11.9 vs.9.8,U =987.50,P =0.014).The SUV of 10.2 was taken as a cut-off for high and low uptake tumors.For patients with SUVmax-P > 10.2,the 5-year distant metastasis-free survival (DMFS) and 5-year overall survival (OS)were significantly higher than those with SUVmax-P ≤ 10.2 (69.1% vs.95.5%,x2 =15.88,P =0.000;68.4% vs.94.0%,x2 =15.56,P =0.000,respectively).Multivariate analysis showed that SUVmax-P was the only independent risk factor of 5-year DMFS and OS ( HR =7.87,P =0.001 and HR =5.14,P =0.003). Conclusion SUVmax-P is a useful biomarker predicting long-term clinical outcomes in newly diagnosed locally-advanced NPC patients.

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