Malignant tumors of the skull base are rare,present with a variation of histologic stypes, and don't have specific symptoms. Their treatment paradigms differ with histology,location and stage. Many times it is essential to need multidisciplinary cooperation for dealing them. A better understangding of malignant tumors of the skull base will be beneficial for standardized treatment.

Objective: To study the inclusion effect and rules of azalea oil (rhododendron anthopogonoides marxim) and ? cyclodextrin(? CYD) in different proportion. Methods: An optimal condition for the preparation of the azalea oil ? CYD was established by orthogonal test. Results: The optimal condition was that stiring, 30 ?C , 30min, ? CYD:oil=8g∶1mL Conclusion: This optimized process is simple, stable and efficient.

To explore and compare the response of the protease inhibitors or non-nucleoside reverse transcriptase inhibitors-based therapeutic impact on metabolic indices in hepatitis C virus (HCV)/human immunodeficiency virus(HIV) co-infected patients.A randomized,open,and control approach was performed to enroll 273 cases of HCV/HIV co-infected patients on their initial visits and to choose protease inhibitors(PIs group) or non-nucleoside reverse transcriptase inhibitors (NNRTIs group) based therapy treatments for one year.Laboratory results of metabolic indices before and after the treatment were collected.After treatment,the levels of triglyceride in NNRTIs and Pls groups were (1.93 ± 0.99) mmol/L and (1.62 ± 0.93) mmol/L respectively,high density lipoprotein-cholesterol were(1.28 ± 0.55) mmol/L and (1.08 ± 0.53) mmol/L,low density lipoprotein-cholesterol were (2.60 ± 1.44) mmol/L and (2.22 ± 1.16) mmol/L,fasting plasma glucose were (5.92 ± 1.21) mmol/L and (4.79 ± 0.47) mmol/L,serum creatinine were (70.5 ± 14.6) μmol/L and (56.6 ± 8.3) μmol/L,and serum amylase were(66.9 ± 27.5) U/L and(62.7 ± 33.8) U/L respectively.The difference between the two groups was statistically significant(all P＜0.01).There is a therapeutic impact on metabolic indices in patients wtih HCV / HIV co-infection after non-nucleoside reverse transcriptase inhibitors-based regimen.

Objective To evaluate the efficacy and safety of efavirenz-based therapy in patients with human immunodeficiency virus (HIV)/hepatitis C virus (HCV) co-infection. Methods Fiftythree HIV/HCV co-infected patients received efavirenz-based therapy were followed up for 7 years.The changes of CD4+ T lymphocyte count, HIV virus load, hepatic function, hepatic fibrosis index,blood lipid, blood glucose, blood uric acid and blood routine were observed. The comparison of means before and after treatment was performed by t-test. Results The HIV RNA levels at baseline and endpoint were (4. 56±0. 88) lg copy/mL and (1.70±1.10) lg copy/mL, respectively (t=14. 781, P＜0.01). The peripheral blood CD4+ T lymphocyte counts were ( 188.37±151.14)×106/L and (445.18±314.25)×106/L, respectively (t=5.362, P＜0.01).The alanine aminotransferase (ALT) levels were (36.6±16.3) U/L and (57.2±9.9) U/L, respectively (t=7.864, P＜0. 01).The glycocholic acid levels were (444.22±476.74) mg/L and (556.88±733.05) mg/L, respectively (t=0.938, P＜0.05). The Ⅳ-collagen(Ⅳ-C) levels were (45.13±8.25) ng/mL and (47.88±4.51) ng/mL, respectively (t= 2.129, P＜0.05). The riacylglycerol levels were (1.57±0.65)mmol/L and (2.51±1.29) mmol/L, respectively (t=4.737, P＜0.01). The blood uric acid levels were (298.5±48.2) mmol/L and (495.1±89.4) mmol/L, respectively (t= 14.092, P＜0.01).Conclusions The efavirenz-based therapy is efficacious in HIV/HCV co-infected patients, but it could cause liver injury and metabolic disorder.

OBJECTIVETo investigate the clinicopathologic features and prognostic factors of gastric neuroendocrine neoplasms(gNENs).

METHODSClinicopathologic data of 104 patients with gastric neuroendocrine neoplasms admitted in Chinese PLA General Hospital between January 2000 and December 2014 were analyzed retrospectively. Tumor proliferation activity classification (G1, G2 and G3) and TNM staging were observed. The clinicopathologic features of the whole group were collected and the univariate and multivariate analysis were determined by Log-rank and Cox proportional hazard model to detect the prognosis-determining features.

RESULTSOf all the patients, 66 cases(63.5%) were neuroendocrine carcinoma, 25 cases(24.0%) were mixed adenoendocrine carcinoma and 12 cases (11.5%) were neuroendocrine tumor. For G grades, 92 cases (88.5%) were G3 grade, 8 cases(7.7%) were G2 grade and 4 cases (3.8%) were G1 grade. TNM staging results showed that stageI( was found in 6 cases (5.8%), stageII(A in 6 cases (5.8%), stageII(B in 9 cases (8.7%), stage III(A in 8 cases (7.7%), stage III(B in 55 cases (52.9%) and stageIIII( in 20 cases (19.2%). For T stage, 7 cases (6.7%) were T1, 12 cases (11.5%) were T2, 24 cases (23.1%) were T3, and 61 cases (58.7%) were T4. Lymph node metastasis occurred in 73 cases (70.2%) and distant metastasis occurred in 20 cases(19.2%). Eighty-six patients were followed up for 6 to 186 months. The median survival was 33.0 months(95% CI: 28.3 to 36.6), and 1-, 3-, and 5-year survival rates were 80%, 49% and 31%. Clinicopathologic features which were considered statistically significant on univariate analysis were selected to Cox proportional hazard model. Univariate analysis showed that risk factors of reducing survival rate included tumor size, pathological type, proliferation activity grades, and depth of invasion (all P<0.05), as well as chromogranin A expression, tumor staging, lymph node metastasis and distant metastasis(all P<0.01). The multivariate analysis showed that the stage of gNEN was the independent risk factor of the prognosis (RR=14.213, 95% CI: 1.316 to 153.524, P=0.029).

CONCLUSIONLate staging is the main clinical feature and a prognostic factor for gNENs.

Carcinoma ; diagnosis ; pathology ; Humans ; Lymphatic Metastasis ; Multivariate Analysis ; Neoplasm Staging ; Neuroendocrine Tumors ; diagnosis ; pathology ; Prognosis ; Proportional Hazards Models ; Retrospective Studies ; Risk Factors ; Stomach Neoplasms ; diagnosis ; pathology ; Survival Rate

Objective To study the compliance of forbidden depasturing livestock on the marshland with Oncomelania snails in schistosomiasis endemic areas. Methods According to 3 levels of human infection rates as > 10% ,5%-10% and <5% , 2 204 residents selected randomly from the schistosomiasis endemic villages were sampled with the stratified cluster sampling method in Hunan, Hubei, Jiangxi, Anhui, Jiangsu, Sichuan and Yunnan provinces, and investigated by questionnaire. The contents of the questionnaire included the recognition and implementation of forbidden depasturing livestock on marshland with Oncomelania snails and breeding livestock in bam. Results A total of 78.4% residents agreed forbidden depasturing livestock on marshland with snails, but 3. 7% residents disagreed it. A total of 83. 9% residents considered the relationship between breeding livestock in bam and schistosomiasis control, but 3. 1% residents thought that it was no relationship. The main reasons of depasturing livestock on marshland with Oncomelania snails were the high cost of breeding livestock in bam (36. 2% ) , unaccustomed (26.4% ) and no room for breeding livestock in bam (25.4% ). Conclusion Forbidden depasturing livestock on the marshland with Oncomelania snails should be strengthened according to the local economic, nature environment, agriculture, residents'culture degree and agriculture habit.

Objective:To analyze the prognosis-related factors of patients with surgical treatment of lung cancer brain metastases.Methods:From January 2016 to November 2018, the clinical data of the patients with lung cancer brain metastases received surgical treatment in Department of Neurosurgery, Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College were retrospectively collected, and completed data of 83 patients were obtained. The single factor analysis was based on the log-rank method, and the multi-factor analysis was used by the Cox proportional hazard model, and the R software was used to map the influencing factors into the nomogram and verify them.Results:The median overall survival (OS) of 83 patients was 27.0 months. The median OS of patients with surgery alone was 15.7 months, the median OS of patients with surgery combined with radiotherapy, chemotherapy or targeted therapy was 27.7 months, and the difference was statistically significant ( χ2=8.735, P=0.003). The results of single factor analysis showed that gender ( χ2=4.652, P=0.031), smoking history ( χ2=8.239, P=0.004), postoperative targeted treatment ( χ2=13.697, P<0.001), postoperative adjuvant therapy ( χ2=8.735, P=0.003), pathology of metastatic tumor ( χ2=11.799, P=0.001), and lung cancer molecular graded prognostic assessment (Lung-molGPA) sore ( χ2=11.333, P=0.004) affected patients′ OS. The results of multivariate analysis showed that smoking history ( HR=0.311, 95% CI: 0.107-0.901, P=0.031), postoperative targeted therapy ( HR=3.563, 95% CI: 1.286-9.868, P=0.015), pathology of metastatic tumor ( HR=0.364, 95% CI: 0.137-0.965, P=0.042), Lung-molGPA score ( HR=0.595, 95% CI: 0.374-0.946, P=0.028) were independent prognostic factors for OS of patients with lung cancer brain metastases. In order to further evaluate the prognosis of patients, nomogram was drawn using these four independent prognostic factors. The model had high accuracy and could better evaluate the prognosis of patients. Conclusion:Lung cancer brain metastases patients with operative indication can benefit from surgery, and active adjuvant therapy after operation can further prolong the OS of patients. The nomogram constructed by smoking, targeted therapy, pathology of metastatic tumor and Lung-molGPA score can be used to evaluate individual patient outcomes and guide clinical treatment.

In Vivo Dosimetry ; Radiotherapy Dosage ; Radiometry/methods* ; Electronics ; Radiotherapy, Intensity-Modulated/methods* ; Phantoms, Imaging ; Algorithms

AIM: To analyze and screen influencing factors of diabetic patients complicated with retinopathy, and establish and validate prediction model of nomogram.METHODS: A total of 1 252 patients from the Diabetes Complications Early Warning Dataset of the National Population Health Data Archive(PHDA)between January 2013 to January 2021 were selected and randomly divided into a modeling group(n=941)and a validation group(n=311). Univariate analysis, LASSO regression and Logistic regression analysis were used to screen out the influencing factors of diabetic retinopathy, and a nomogram prediction model was established. The receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve were used to evaluate the model. The clinical benefit was evaluated by the decision curve analysis(DCA).RESULTS: Age, hypertension, nephropathy, systolic blood pressure(SBP), glycated hemoglobin(HbA1c), high-density lipoprotein cholesterol(HDL-C), and blood urea(BU)were the influencing factors of diabetic retinopathy. The area under the curve(AUC)of the modeling group was 0.792(95%CI: 0.763-0.821), and the AUC of the validation group was 0.769(95%CI: 0.716-0.822). The Hosmer-Lemeshow goodness of fit test and calibration curve suggested that the theoretical value of the model was in good agreement(modeling group: χ2=14.520, P=0.069; validation group: χ2=14.400, P=0.072). The DCA results showed that the threshold probabilities range was 0.09-0.89 for modeling group and 0.07-0.84 for the validation group, which suggested the clinical net benefit was higher.CONCLUSION: This study constructed a risk prediction model including age, hypertension, nephropathy, SBP, HbA1c, HDL-C, and BU. The model has a high discrimination and consistency, and can be used to predict the risk of diabetic retinopathy in patients with diabetes.

Objective To analyze the risk factors influencing the occurrence of atherosclerosis in patients with type 2 diabetes, and to construct and evaluate a nomogram prediction model. Methods Multivariate logistic regression was used to analyze the risk factors of atherosclerosis in type 2 diabetes mellitus, and R software was used to build a nomogram prediction model. The accuracy and clinical validity of the model were verified by using H-L fit curve, area under ROC curve and calibration curve. Results The prevalence rate of atherosclerosis was 56.37%. Independent risk factors for atherosclerosis in type 2 diabetes mellitus (P<0.05) were body weight (OR=1.42，P<0.05), glycated serum protein (OR=1.35, P<0.05), lactate dehydrogenase (OR=1.17, P<0.05), alkaline phosphatase (OR=0.79, P<0.05), hyperlipidemia (OR=2.30, P<0.05), stroke (OR=4.20, P<0.05), coronary heart disease (OR=64.54, P<0.05), lower extremity artery disease (OR=24.52, P<0.05), and other endocrine diseases (OR=1.65 , P<0.05). The area under ROC curve was 0.91, the slope of the calibration curve was close to 1, and the H-L fit curve χ²=3.11. The internal verification result of the constructed nomogram prediction model was P=0.93. External verification of patients in the test set showed that the area under ROC curve was 0.91, indicating good differentiation and accuracy of the model. Conclusion The prediction model established by using the risk factors screened in this study has a high accuracy and differentiation, and medical staff can take effective prevention measures according to the individual factors of patients.