Cryoablation therapy with explicit anti-tumor mechanisms and histopathological manifestations has a long history.A large number of clinical practice has shown that cryoablation therapy is safe and effective,making it an ideal tumor treatment method in theory.Previously,its efficacy and clinical application were constrained by the limitations of refrigerants and refrigeration equipment.With the development of the new generation of cryoablation equipment represented by argon helium knives,significant progress has been made in refrigeration efficien-cy,ablation range,and precise temperature measurement,greatly promoting the progression of tumor cryoablation technology.This consensus systematically summarizes the mechanism of cryoablation technology,indications for oral mucosal melanoma(OMM)cryotherapy,clinical treatment process,adverse reactions and management,cryotherapy combination therapy,etc.,aiming to provide reference for carrying out the standardized cryoablation therapy of OMM.

Objective:To understand the relationship between lipid accumulation product (LAP) and hyperuricemia in physical examination population.Methods:This was a cross-sectional study. The analysis was based on baseline data from a retrospective cohort study. Total of 44 294 people who received physical examination in the Health Management Center of Xiangya Hospital of Central South University from January to December 2012 were selected as subjects with whole-group sampling method. All the subjects aged ≥18 years with complete study variables. The minimum waist circumference of the subjects was calculated to determine the criteria for calculating LAP in those population. With LAP as the observed variable and hyperuricemia as the outcome variable, LAP was divided into four groups according to the interquartile interval (Q 1-Q 4 groups): group Q 1<10.56 cm·mmol/L, 10.56 cm·mmol/L≤Q 2<20.79 cm·mmol/L, 20.79 cm·mmol/L≤Q 3<38.94 cm·mmol/L, Q 4≥38.94 cm·mmol/L. Five models were constructed with logistic regression analysis. No confounding factors was adjusted in Model 1, model 2 was adjusted for age and gender; and model 3 was further adjusted for body mass index, hypertension, hyperlipidemia, creatinine and glomerular filtration rate; model 4 was further adjusted education level, occupation, health insurance, smoking, drinking, diet scores and physical exercise; model 5 was further adjusted the family history of gout, diabetes and hypertension. And the relationship between different LAP levels and hyperuricemia was analyzed. Results:In this study, the minimum waist circumference in the physical examination population was 58 cm and 53 cm for men and women, respectively. The total incidence of hyperuricemia was 13.4% in this population, 5.94% for women and 19.40% for men. When the confounding factors were not adjusted (model 1), the risk of hyperuricemia in women′s LAP Q 2 to Q 4 groups was 1.76 times (95% CI: 1.42-2.17), 5.08 times (95% CI: 4.20-6.14) and 12.58 times (95% CI: 10.43-15.18), and it was 1.68 times (95% CI: 1.43-1.96), 2.74 times (95% CI: 2.36-3.18), and 5.32 times (95% CI: 4.62-6.14) in men, respectively. After gender stratification and adjustment for confounding factors (model 5), the risk still existed, compared with that in Q 1 group of LAP, the risk of hyperuricemia in women in Q 4 group was 8.28 times higher (95% CI: 2.50-27.38) and 3.31 times higher in men (95% CI: 1.57-6.95). Conclusion:The risk of hyperuricemia in health examination population increases with LAP, especially in women.

Objective:To investigate the relationship between cardiometabolic index (CMI) and hyperuricemia (HUA) in the health examination population.Methods:It was a cross-sectional study. A total of 21 720 individuals who received health examinations in Xiangya hospital, Central South University between 2020 and 2021 were recruited in this study. Multivariate logistic regression analysis was used to determine the independent correlation between CMI and HUA, and stratified analysis was applied to check whether there were population differences. Then the predictive value of CMI for hyperuricemia in the health examination population was evaluated with the area under the receiver operator characteristic (ROC) curve.Results:Among the 21 720 subjects, 4 418 (20.34%) were detected with HUA. In the HUA group, the body mass index (BMI), waist-to-hip ratio, CMI, total cholesterol, triglyceride, systolic blood pressure, diastolic blood pressure, fasting blood glucose, 2-hour postprandial blood glucose, and blood creatinine levels were all significantly higher than those in the normal uric acid group, while high-density lipoprotein and epidermal growth factor receptor (eGFR) were significantly lower (all P<0.05). Multiple logistic regression analysis showed that after adjusting for relevant factors, CMI was significantly positively correlated with HUA ( OR=1.16, 95% CI: 1.129-1.192); and with the increase of CMI, the risk of HUA increased gradually. Stratified analysis and interaction test according to gender, age, BMI, hypertension, abnormal blood glucose and glomerular filtration rate indicated that CMI was positively associated with the occurrence of HUA in all populations. Compared with that in people with abnormal blood glucose, the correlation between CMI and HUA was more obvious in people with normal blood glucose. The area under the ROC curve (AUC) for CMI to predict HUA was 0.723(95% CI: 0.715-0.731), with a specificity of 0.636 and a sensitivity of 0.698, and the cut-point was 0.693. Conclusion:There was a significant positive correlation between CMI and HUA in the health examination population, which has good predictive value for HUA.

Objective:To investigate the relationship between advanced glycation end products (AGEs) in the lens and type 2 diabetes mellitus.Methods:226 subjects were recruited between August 14 to September 14, 2018 from the Endocrinology Department of Central South University Xiangya Hospital, the Third Hospital of Changsha City, and the Fourth Hospital of Changsha City. The OGTT test, combined with clinical indicators, were used as the gold standard. Subjects were screened for type 2 diabetes using both the lens AGE fluorescence assay and the gold standard. Drawing the receiver operating characteristic (ROC) curve, we calculated the area under the curve (AUC) and its 95% CI and calculated the AGE for the diagnosis of type 2 diabetes. Sensitivity, specificity, Youden index, Kappa value, and its 95% CI, and the optimal cut-off value were determined according to the Youden index. Taking diabetes as the outcome indicator and AGE as the binary indicator, three logistic regression models were constructed. Stratified by age and sub-center, the differences between fasting blood glucose and 2 h postprandial blood glucose were compared between the AGE-negative and AGE-positive groups to determine the relationship between AGE and diabetes. Results:The area under the ROC curve was 0.86(95% CI: 0.81-0.91). According to the Youden index, the optimal cut-off point for AGE was 0.24. At this time, the sensitivity was 82.86(95% CI: 77.81-87.91), the specificity was 77.06(95% CI: 71.43-82.7), the Youden index was 59.92(95% CI: 53.36-66.49), the Kappa value was 79.62(95% CI: 74.22-85.02). Except for the 20-39-year-old group, the fasting blood glucose and 2 h postprandial blood glucose of the AGE-positive group in different age groups, different sub-centers, and the general population were higher than those of the AGE-negative group (all P<0.05). After adjusting for the confounding effects of age, gender, and sub-center (model 3), the relative risk of diabetes in the AGE-positive group was 11.75 times higher than the AGE-negative group (95% CI: 5.61-24.60), all with P<0.001. Conclusion:There was a high correlation between AGE in the lens and the risk of type 2 diabetes. When the cut-off point of AGE is 0.24, it had high sensitivity and specificity and could be used as a practical tool for early screening of type 2 diabetes.

Objective:To investigate the correlation between hyperuricemia and hypertension in hospital employees.Methods:A cohort was constructed from staff participating health checkups at the Xiangya Hospital of Central South University, baseline health examinations and questionnaires were conducted from February 1, 2011, to January 29, 2012; 502 participants were excluded according to the nadir criteria, and 3 525 participants were followed-up from February 1, 2012, to December 31, 2018, according to the results of annual employee checkups. The participants were divided into the normal uric acid (3 232 cases) and hyperuricemia groups (293 cases) according to the baseline examination results. The presence of hyperuricemia was used as an observation index and occurrence of hypertension within 7 years was used as an outcome indicator. Age, sex, body mass index, creatinine, LDL cholesterol, triacylglycerol, HDL cholesterol, fasting glucose, marriage, education, job position, smoking, alcohol consumption, and exercise status were used as confounding factors to construct five Cox regression models and calculate their HR values, adjusted HR values, and 95% CI to analyze the relationship between hyperuricemia and the occurrence of hypertension in the overall population and female and male populations. Results:The follow-up of the study participants was conducted for a period of (6.19±1.25) years, with a total of 21 831 person-years of follow-up. The 7-year cumulative prevalence of hypertension was 16.5% in the total population, 12.5% in the female population, 30.1% in the male population, 14.1% in the normal uric acid group, and 42.0% in the hyperuricemia group. The prevalence density of hypertension was 26.6, 19.6, 53.8, and 22.4 per 1 000 person-years in the total, female, male, and normouricemic groups, respectively. Without adjusting for any confounding variables, the risk of hypertension was higher in the total population, female population, and male population in the hyperuricemia group than in the normal uric acid group [ HR=3.86, 5.69, 1.60, (95% CI: 3.17-4.72, 4.36-7.43, 1.18-2.16)] (all P<0.05); after gradually adjusting for confounders, this correlation was only manifested in the female population [adjusted HR=1.91 (95% CI: 1.08-3.36)] (all P<0.05), and the difference was not statistically significant in the male population ( P>0.05). Conclusion:Among female hospital employees, hyperuricemia is an independent risk factor for the development of hypertension.

Discipline construction is the core of hospital development. Under the initiative to build " first-class universities and disciplines" , in order to speed up the construction of first-class hospitals, a university-affiliated hospital carried out discipline construction management by optimizing top-level design, discipline differentiation development, evaluation index system construction and strengthening its application, and carrying out process management in the form of project system.In 2018, the hospital levelled its individual disciplines as leading ones, advantageous ones, backbone ones, backbone promising ones and potential ones, each granted with corresponding funding support. Medians of the disciplinary construction scoring of disciplines at various levels from 2015 to 2018 were used as the standard scoring in examinations in the next two years(2019 and 2020), guiding the disciplines to upgrade their design for discipline construction index system. The appraisal of discipline construction in 2019 and 2020 found 38 disciplines up to the standard scoring, including 16 twice higher than the scoring, while only 7 scored lower than the standard one. The hospital has made stage-based progress in discipline reputation, faculty, science research and social contribution, initially achieving effective guidance of disciplines of the hospital.

Objective:Analyze the basic information and characteristics of SCI papers published by an institution in 2015-2019 based on the Category Normalized Citation Impact (CNCI), to provide a reference basis for SCI paper management policy improvement.Methods:Retrieve SCI papers completed by the first or correspondent unit from 2015 to 2019 from the scientific research management system of the institution. Obtain index data including journal information, impact factors, and CNCI of this group of papers from Web of science and InCites databases, and use SPSS21.0 statistical software to perform descriptive and chi-square tests.Results:The university-affiliated hospital published 3201 SCI papers from 2015-2019, with a growing trend. These papers were most frequently published in the 1