Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P＜0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P＜0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.

Objective:Investigating the correlation between postoperative stress levels and intraoperative sufentanil dosage in breast cancer patients.Method:A retrospective selection was made of 100 BC patients who underwent surgery at Shaanxi Cancer Hospital from Apr. 2023 to Apr. 2025 as the research subjects. According to the dosage of sufentanil during the operation, they were divided into low-dose ( n=33), medium-dose ( n=34), and high-dose ( n=33) groups. The general data and postoperative stress levels of the three groups were compared and analyzed. Based on the results of stress levels, BC patients were further divided into the normal group ( n=75) and the elevated group ( n=25). The clinical data, laboratory indicators, and intraoperative sufentanil dosage of the two groups were compared and analyzed. Binary Logistic regression was used to analyze the factors influencing the postoperative stress level of patients, and a nomogram was constructed. ROC and DCA were used to analyze the predictive value and net benefit of the nomogram. Pearson correlation analysis was used to analyze the correlation between the factors influencing the stress state of patients and the postoperative stress level. Results:The levels of endothelin-1 (ET-1), norepinephrine (NE), and cortisol (Cor) in the high-dose group after surgery were significantly lower than those in the low-dose group and the medium-dose group ( t=9.55, 11.07, 82.91, P<0.05). The stress levels and the levels of tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), brain-derived neurotrophic factor (BDNF), and adrenocorticotropic hormone (ACTH) in the stress group were significantly higher than those in the normal group. However, the levels of sufentanil drug, glutathione peroxidase (GSH-Px), and superoxide dismutase (SOD) were lower than those in the normal group ( t=2.02, 2.04, 2.15, P<0.05). Multivariate analysis of binary logistic regression showed that the dosage of sufentanil ( t=2.02, 2.04, 2.15, P<0.05) ; Multivariate analysis of binary logistic regression showed that sufentanil dosage ( OR=0.58, 95 %CI: 0.24-0.93), SOD ( OR= 0.63, 95 %CI:0.41~0.84) were protective factors, and ACTH ( OR=1.57, 95%CI:1.23-1.92), CRP ( OR=1.53, 95 %CI: 1.06-2.00) 、BDNF ( OR=1.43, 95 %CI:1.11-1.75) were risk factors affecting the stress state of patients ( P<0.05) ; The construction of a risk nomogram model based on the above influencing factors and the ROC analysis indicated that its AUC=0.829, indicating a good predictive ability. The correction curve is close to the ideal curve, indicating that the model has good discrimination and consistency. DCA curve verification revealed that its predicted probability was 68%, indicating a positive net benefit. Correlation analysis showed that the intraoperative sufentanil dose, SOD, ACTH, CRP, BDNF were significantly correlated with the postoperative stress level-related indicators NE, ET-1, Cor. Among them, the intraoperative sufentanil dose and SOD were negatively correlated with NE, ET-1, Cor, while the other indicators were positively correlated with them ( P<0.05) . Conclusions:High levels of ACTH, CRP and BDNF are independent risk factors for postoperative stress in patients with BC, while sufentanil fibroids and SOD during the operation are protective factors. Moreover, the intraoperative sufentanil dose has a significant correlation with the related indicators of emergency levels. Clinically, this can be used as a biomarker for predicting postoperative stress in patients with BC and individualized intervention measures can be implemented, providing a new monitoring perspective for clinical prediction of the occurrence of stress.

Objective:Investigating the correlation between postoperative stress levels and intraoperative sufentanil dosage in breast cancer patients.Method:A retrospective selection was made of 100 BC patients who underwent surgery at Shaanxi Cancer Hospital from Apr. 2023 to Apr. 2025 as the research subjects. According to the dosage of sufentanil during the operation, they were divided into low-dose ( n=33), medium-dose ( n=34), and high-dose ( n=33) groups. The general data and postoperative stress levels of the three groups were compared and analyzed. Based on the results of stress levels, BC patients were further divided into the normal group ( n=75) and the elevated group ( n=25). The clinical data, laboratory indicators, and intraoperative sufentanil dosage of the two groups were compared and analyzed. Binary Logistic regression was used to analyze the factors influencing the postoperative stress level of patients, and a nomogram was constructed. ROC and DCA were used to analyze the predictive value and net benefit of the nomogram. Pearson correlation analysis was used to analyze the correlation between the factors influencing the stress state of patients and the postoperative stress level. Results:The levels of endothelin-1 (ET-1), norepinephrine (NE), and cortisol (Cor) in the high-dose group after surgery were significantly lower than those in the low-dose group and the medium-dose group ( t=9.55, 11.07, 82.91, P<0.05). The stress levels and the levels of tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), brain-derived neurotrophic factor (BDNF), and adrenocorticotropic hormone (ACTH) in the stress group were significantly higher than those in the normal group. However, the levels of sufentanil drug, glutathione peroxidase (GSH-Px), and superoxide dismutase (SOD) were lower than those in the normal group ( t=2.02, 2.04, 2.15, P<0.05). Multivariate analysis of binary logistic regression showed that the dosage of sufentanil ( t=2.02, 2.04, 2.15, P<0.05) ; Multivariate analysis of binary logistic regression showed that sufentanil dosage ( OR=0.58, 95 %CI: 0.24-0.93), SOD ( OR= 0.63, 95 %CI:0.41~0.84) were protective factors, and ACTH ( OR=1.57, 95%CI:1.23-1.92), CRP ( OR=1.53, 95 %CI: 1.06-2.00) 、BDNF ( OR=1.43, 95 %CI:1.11-1.75) were risk factors affecting the stress state of patients ( P<0.05) ; The construction of a risk nomogram model based on the above influencing factors and the ROC analysis indicated that its AUC=0.829, indicating a good predictive ability. The correction curve is close to the ideal curve, indicating that the model has good discrimination and consistency. DCA curve verification revealed that its predicted probability was 68%, indicating a positive net benefit. Correlation analysis showed that the intraoperative sufentanil dose, SOD, ACTH, CRP, BDNF were significantly correlated with the postoperative stress level-related indicators NE, ET-1, Cor. Among them, the intraoperative sufentanil dose and SOD were negatively correlated with NE, ET-1, Cor, while the other indicators were positively correlated with them ( P<0.05) . Conclusions:High levels of ACTH, CRP and BDNF are independent risk factors for postoperative stress in patients with BC, while sufentanil fibroids and SOD during the operation are protective factors. Moreover, the intraoperative sufentanil dose has a significant correlation with the related indicators of emergency levels. Clinically, this can be used as a biomarker for predicting postoperative stress in patients with BC and individualized intervention measures can be implemented, providing a new monitoring perspective for clinical prediction of the occurrence of stress.

Objective To explore the influence of radiation protection knowledge-attitude-practice (RP-KAP) on occupational stress of radiation workers. Methods A total of 314 radiation workers from five hospitals in Shijiazhuang City were selected as the study subjects using the convenient sampling method. The Chinese version of the "Effort-Reward Imbalance (ERI) Questionnaire" and the "Radiation Protection Knowledge, Attitude, and Practice Questionnaire" were used for investigation. Results The detection rate of occupational stress in ERI model among the radiation workers was 74.5% (234/314). The RP-KAP practice dimension score of the population in the occupational stress group was lower than that in the non-occupational stress group (P<0.05). The results of binary logistic regression analysis showed that radiation workers with lower RP-KAP practice dimension score had a higher risk of occupational stress (P<0.01), and the risks of occupational stress among population of interventional radiology group and radiotherapy group were higher than that of X-ray diagnosis group and nuclear medicine group (both P<0.05), after controlling for confounding factors such as gender, age, type of work, professional title, daily working hours, weekly working hours and regular vacation. Conclusion RP-KAP is the influencing factor of occupational stress in the radiation workers. To improve the radiation workers' knowledge of radiation protection, protection awareness and compliance with protective behavior can effectively reduce or even eliminate occupational stress.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

Objective To investigate the value of intraoperative ultrasound radiomics for predicting isocitrate dehydrogenase 1(IDH1)mutation of high-grade glioma.Methods Ninety-five patients with high-grade glioma(WHO grade Ⅲ and Ⅳ)who underwent craniotomy glioma resection and ultrasound assisted tumor localization during operation and then confirmed by pathology were retrospectively enrolled.The patients were divided into training set(n=66,including 24 IDH1 mutation type and 42 IDH1 wild type)and validation set(n=29,including 11 IDH1 mutation type and 18 IDH1 wild type)at the ratio of 7∶3.Based on intraoperative ultrasound,radiomics features were extracted,the best ones were screened,and a radiomics model was established for predicting IDH1 mutation of high-grade glioma using random forest algorithm.Receiver operating characteristic(ROC)curve was plotted,the area under the curve(AUC)was calculated to evaluate the predictive efficacy of the model,and decision curve analysis(DCA)was used to evaluate the clinical value of the model.Results A total of 851 radiomics features were extracted based on intraoperative ultrasound,and finally 5 best ones were screened out to construct a radiomics model.The AUC of the radiomics model for predicting IDH1 mutation of high-grade glioma in training and validation sets was 0.902 and 0.707,respectively,with no significant difference(P=0.097).DCA maps showed that the clinical net benefit of the radiomics model was high.Conclusion Intraoperative ultrasound radiomics could effectively predict IDH1 mutation of high-grade glioma.

OBJECTIVE To summarize the clinical features of the acquired immunodeficiency syndrome-related Kaposi's sarcoma(AIDS-KS) in head and neck. METHODS The clinical data of 20 inpatients with AIDS-KS in head and neck from June 2009 to September 2016 in Beijing Ditan Hospital were retrospectively analyzed. RESULTS All 20 patients were male, median age 38.50±10.98. One case was Manchu, 1 case was of Uygur, and others were Han nationality. There were 7 cases with homosexuality history, 2 cases with blood transfusion history, and 1 case with prostitution history. Mass in head and face was the first symptom in 10 cases. The head and neck skin and mucosa were involved, including 2 cases with nasal mucosa involvement, 4 cases with auricle skin involvement, 8 cases with oral mucosal involvement, 3 cases with facial skin involvement, 1 case with neck skin involvement, 1 case with eyelid conjunctiva involvement. Four cases had disseminated lesions. When diagnosed, the CD4+T lymphocyte were 52.55±47.87/mm3. The CD4+T were less than 200/mm3 in all of the patients, including CD4+T＜50/mm3 in 15 cases(75％). After treatment with highly active antiretroviral therapy combined with or without chemotherapy, 12 cases were discharged. Eight cases died due to respiratory failure or septic shock or other reasons. CONCLUSION Kaposi's sarcoma of the head and neck might be the first visit of AIDS patients. Some of the patients get partial remission after highly active antiretroviral therapy and the overall prognosis is poor.

Objective To study the application of autoregressive integrated moving average(ARIMA)model to predict the monthly reported malaria cases in China,so as to provide a reference for prevention and control of malaria. Methods SPSS 24.0 software was used to construct the ARIMA models based on the monthly reported malaria cases of the time series of 2006-2015 and 2011-2015,respectively. The data of malaria cases from January to December,2016 were used as validation data to compare the accuracy of the two ARIMA models. Results The models of the monthly reported cases of malaria in China were ARIMA(2,1,1)(1,1,0)12 and ARIMA(1,0,0)(1,1,0)12 respectively. The comparison between the predictions of the two models and actual situation of malaria cases showed that the ARIMA model based on the data of 2011-2015 had a higher ac-curacy of forecasting than the model based on the data of 2006-2015 had. Conclusion The establishment and prediction of ARIMA model is a dynamic process,which needs to be adjusted unceasingly according to the accumulated data,and in addi-tion,the major changes of epidemic characteristics of infectious diseases must be considered.

Objective:To observe the outward flow of low temperature plasma ablation combined inferior turbinate fracture treatment for chronic hypertrophic rhinitis nasal ventilation function. Method:NR6 nasal resistance meter and A1 nasal sound reflection instrument were used to test 40 patients of Hypertrophic rhinitis nasal septum deviation merger before and after operation for one year, recording the nasal airway resistance,0 to 5 cm nasal cavity volume and the nasal minimum cross-sectional area, combine visual analog scale to analyze the changing parameter value, and to analyze the test values between the correlation. Result:Postoperative patients of NCV, NMCA, NS value was higher than that of preoperative, VAS, NAR value compared with preoperative lower (P<0.05); Postoperative VAS was negatively correlated with NCV, NMCA, NS (r=0.472, 0.698, 0.586, P<0.05); VAS was positively related with NAR (r=0.877, P<0.05); Postoperative NAR was negatively correlated with NCV, NMCA and NS (r=-0.464, -0.870, -0.707, P<0.05); there was a positive correlation between postoperative NS and NCV, NMCA (r=0.442, 0.741, P<0.05). Conclusion:On the deflection of nasal septum (lighter, smaller scale, the part of the deflection of a back with no obvious compressive deformation and lateral deflection of inferior turbinate) in patients with chronic hypertrophic rhinitis, low temperature plasma ablation combined offshoring inferior turbinate fracture surgery can effectively improve the nasal ventilation function, there is a good correlation between postoperative test values.

Objective To investigate the clinical significance of expression of P53,Ki67 in proliferation,invasion and metastasis of cancer cells of patients with esophageal carcinoma.Methods Eighty-six patients with esophageal carcinoma were selected as tumor group from January 2006 to May 2008.And another 86 patients without tumor were as control group.ABC-immunohistochemistry was used to detect the expression of P53 and Ki67 in 172 cases of patients with esophageal carcinoma.Results The expression of P53 in patients with esophageal carcinoma was different from that in control subjects (x2 =4.045,P ＜ 0.05),and the P53 expression rate in two group were 66.3％ (57/86) and 51.1％ (44/86) respectively.The rate of P53 expression reaching to + + in two groups was also significant (x2 =8.592,P ＜ 0.01).Ki67 expression in patients with esophageal carcinoma was higher than that of control patients (76.7％ (66/86) vs.60.5％ (82/86),x2 =5.291,P ＜ 0.05).Additionally,there was significant difference regarding of Ki6 expression reaching to + + positive(x2 =13.661,P ＜ 0.01).Moreover,the expression of P53 and Ki67 were found to be a positively correlation(r =0.400,P =0.00).The expression of P53 and Ki67 were related with invasion and differentiation of cancer cells (x2 =3.945,5.794 respectively,all P ＜ 0.05) and lymph node metastasis (x2 =5.570,4.354 respectively,all P ＜ 0.05).Conclusion Over-expression of P53 and Ki67 were involved in the process of proliferation,invasion and metastasis of cancer cells in esophageal carcinoma,which coherently impacted the occurrence and development of esophageal cancer.The combined detection of P53 and Ki67 seems to help the early diagnosis of esophageal cancer and evaluation of the degree of malignancy,invasion,metastasis and prognosis.Over-expression of P53,Ki67 might be served as a reference marker in screening for chemotherapy for esophageal cancer.