There have been recent, significant changes in strategies and policies for elimination of cervical cancer and advances in research of human papillomavirus (HPV)-related diseases and their prevention and control. Based on the latest national and international research, and building on a consensus published in 2019, we developed an expert consensus on immunoprophylaxis of cervical cancer and other human papillomavirus-related diseases (2025 edition) in order to provide clinicians, disease prevention and control professionals, and vaccination staff a reference for the prevention and control of cervical cancer and other HPV-related diseases and systematic, comprehensive evidence-based support for the scientific use of HPV vaccines to optimize their prevention effectiveness.
Humans ; Uterine Cervical Neoplasms/virology* ; Papillomavirus Vaccines/therapeutic use* ; Papillomavirus Infections/prevention & control* ; Female ; Consensus ; Papillomaviridae/immunology* ; Vaccination ; Human Papillomavirus Viruses

Vibrio vulnificus (V. vulnificus) is a marine bacterium that can cause sepsis, characterized by rapid progression of infection and high clinical mortality rates. However, many healthcare workers lack systematic understanding of V. vulnificus infections and practical experience in the prevention and control of V. vulnificus infection. Therefore, joining with multidisciplinary experts, the Chinese Preventive Medicine Association established a special working group to formulate this consensus, aiming to provide guidance and reference for the diagnosis, treatment and prevention of V. vulnificus infection. Based on existing evidence and the latest research, 6 recommendations were formulated in terms of epidemiology, clinical manifestations, laboratory examination, early diagnosis, clinical evaluation, and infection treatment and prevention.
Humans ; Vibrio Infections/therapy* ; Vibrio vulnificus ; Consensus

Objective: To investigate the knowledge of hepatitis C prevention and treatment and related factors among two groups of female sex workers (FSW) and men who have sex with men (MSM) in the Xizang Autonomous Region (Xizang) to provide a basis for the subsequent development of Hepatitis C publicity and education strategies. Methods: From August to September 2021, a special survey was conducted among 1 244 FSW and 234 MSM in 5 districts (counties) of 4 regions in Xizang. A one-on-one face-to-face questionnaire survey was adopted, and the χ² test and logistic regression were used to analyze the related factors of awareness of hepatitis C prevention and treatment among FSW and MSM. Results: The awareness rates of hepatitis C prevention and treatment knowledge among FSW and MSM were 35.0% (436/1 244) and 11.1% (26/234), respectively. Multivariate logistic regression analysis revealed that the positive related factors of FSW' awareness of hepatitis C prevention and treatment knowledge among those who had high school or technical secondary school education (aOR=4.72, 95%CI: 3.30-6.74) and college education or above (aOR=2.24, 95%CI: 1.58-3.18), those who experienced self-perceived risk of HCV infection (aOR=1.87, 95%CI: 1.43-2.45), negative related factors included married or cohabiting (aOR=0.58, 95%CI: 0.35-0.95), divorce or windowless (aOR=0.44, 95%CI: 0.27-0.72), no condom was used in the most recent commercial sexual activity (aOR=0.54, 95%CI: 0.43-0.69). The positive related factors of MSM's awareness of hepatitis C prevention and treatment knowledge were over 40 years old (aOR=8.65, 95%CI: 3.19-23.42) and having a self-perceived risk of HCV infection (aOR=6.25, 95%CI: 2.50-15.61). Conclusions: The awareness rate of hepatitis C prevention and treatment among FSW and MSM was relatively low in Xizang in 2021 and urgently needs to be improved. It is necessary to formulate targeted publicity strategies based on the characteristics of these two groups of people, increase publicity efforts, and expand the coverage of knowledge publicity to popularize key points about the clinical manifestations, treatment options, and transmission routes of hepatitis C, and carry out necessary warnings and education.
Humans ; Male ; Hepatitis C/therapy* ; Health Knowledge, Attitudes, Practice ; Surveys and Questionnaires ; Sex Workers/psychology* ; Homosexuality, Male ; Female ; Adult ; China ; Young Adult ; Middle Aged ; Logistic Models

Human papillomavirus (HPV) is one of the most prevalent sexually transmissible pathogens worldwide. In males HPV infection may lead to various diseases, including anogenital warts, anal cancer, oropharyngeal cancer, and penile cancer, with incidence rates of these conditions increasing in recent years across the majority of global regions. This expert consensus systematically reviews the epidemiological characteristics of HPV infection and its associated morbidities in males, delineates primary and secondary preventive strategies, and establishes recommendations in the following domains: public awareness and health education, vaccination strategies, and screening approaches. The goal is to provide theoretical foundations and practical guidance for reducing the burden of HPV infection and related diseases in males.
Humans ; Papillomavirus Infections/epidemiology* ; Male ; Consensus ; Papillomavirus Vaccines ; Penile Neoplasms/prevention & control* ; Human Papillomavirus Viruses

Objective:To analyze the dynamic development of physical, psychological, and cognitive degenerative multimorbidity among middle-aged and older Chinese adults (≥45 years old) while estimating the longitudinal association between socioeconomic status (SES) and the progression of multimorbidity.Methods:Based on data from the China Health and Retirement Longitudinal Study (2011-2020), the Sankey diagram was used to show the dynamic development of physical, psychological, and cognitive degenerative multimorbidity from 2011 to 2020. SES was constructed based on the level of education and total household wealth. Logistic regression was used to estimate OR and 95% CI to evaluate the association between SES and the progression of multimorbidity. Results:Of the 5 393 participants included, 4 484 (83.14%) of them developed new diseases, and the prevalence of physical, psychological, and cognitive degenerative multimorbidity increased from 38.04% to 74.23%. Compared to those with no reported disorders at baseline, participants with psychological disorder (for newly developed physical-cognitive multimorbidity: OR=4.59,95% CI: 2.89-7.29), cognitive disorder (for newly developed physical-psychological multimorbidity: OR=2.24,95% CI: 1.40-3.60), or their multimorbidity at baseline were more likely to progress to physical, psychological, and cognitive degenerative multimorbidity. After adjusting covariates, individuals with low SES were more likely to develop physical diseases ( OR=1.45, 95% CI: 1.11-1.89), cognitive disorder ( OR=1.84, 95% CI: 1.16-2.91), physical-psychological multimorbidity ( OR=1.87, 95% CI: 1.37-2.56), physical-cognitive multimorbidity ( OR=3.58, 95% CI: 2.54-5.06), psychological-cognitive multimorbidity ( OR=5.66, 95% CI: 3.04-10.55), and physical-psychological-cognitive multimorbidity ( OR=3.21, 95% CI: 2.06-5.01) in comparison to those with high SES. There is a dose-response relationship between SES and the multimorbidity progression (all trend P<0.001). Conclusions:The prevalence of physical, psychological, and cognitive degenerative multimorbidity increased significantly among middle-aged and older Chinese adults. Lower SES was associated with multiple patterns of physical, psychological, and cognitive disorders progression.

Objective:To describe the current situation of blood glucose control in 18-64 year-old people with type 2 diabetes in the Shenzhen community and analyze the influencing factors to provide a reference for enhancing the management effect of type 2 diabetes in community health service institutions.Methods:The data were from the Shenzhen Community Health Service Information System. A cross-sectional survey design was adopted to include 18-64 year-old patients with type 2 diabetes in Shenzhen community health service institutions in 2022. The blood glucose control rate was calculated through the physical examination data recorded by the information system in 2022, and the influencing factors of blood glucose control in this group of patients were analyzed using a multivariate logistic regression model.Results:A total of 120 174 patients were included in the study. The blood glucose control rate was 53.04%. The results of multivariate logistic regression analysis showed that women ( OR=1.07, 95% CI: 1.04-1.10), ages 45-54 ( OR=1.10, 95% CI: 1.01-1.19), 55-64 ( OR=1.24, 95% CI: 1.14-1.35), middle school ( OR=1.09, 95% CI: 1.05-1.13), high school and technical secondary school ( OR=1.26, 95% CI: 1.21-1.31), junior college or above ( OR=1.75, 95% CI: 1.67-1.83), basic medical insurance for urban employees ( OR=1.05, 95% CI: 1.01-1.08), weekly exercise ( OR=1.26, 95% CI: 1.22-1.31), daily exercise ( OR=1.31, 95% CI: 1.28-1.35) and combined hypertension ( OR=1.21, 95% CI: 1.18-1.24) were more likely to reach the standard of blood glucose control; while unmarried ( OR=0.85, 95% CI: 0.77-0.95), divorced ( OR=0.84, 95% CI: 0.73-0.97), insurance status was fully self-funded ( OR=0.95, 95% CI: 0.91-0.99), disease duration was 5- years ( OR=0.65, 95% CI: 0.63-0.66), ≥10 years ( OR=0.41, 95% CI: 0.39-0.42), the treatment method was diabetes drug therapy ( OR=0.74, 95% CI: 0.71-0.76), low weight ( OR=0.89, 95% CI: 0.80-1.00), obese group ( OR=0.85, 95% CI: 0.82-0.88), combined with central obesity ( OR=0.83, 95% CI: 0.81-0.86), combined with dyslipidemia ( OR=0.69, 95% CI: 0.68-0.71), current smoking ( OR=0.74, 95% CI: 0.72-0.77), and current drinking ( OR=0.97, 95% CI: 0.93-1.00) were less likely to reach the standard of blood glucose control. Conclusions:The blood glucose control rate of 18-64 year-old people with type 2 diabetes in Shenzhen still has room for improvement. More attention should be paid to 18-64 year-old patients with type 2 diabetes, especially for patients with dyslipidemia, central obesity, and diabetes with a long course, and supervision and guidance should be strengthened for patients with bad habits such as smoking, drinking alcohol, and lack of exercise.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.

The disease risk prediction model is the basis of precision prevention and an essential reference for clinical treatment decisions. The development of risk prediction models requires the support of a large amount of high-quality data. A large population cohort study is an important basis for this study. The United Kingdom Biobank (UKB), as a mega-population cohort and biobank, has played an essential role in the exploration of disease etiology and research related to disease prevention and control, with its rich baseline and follow-up data and concepts and mechanisms shared globally. This study followed PRISMA guidelines and included 210 articles with corresponding authors from 18 countries, of which 58 (27.62%) were from the UKB. A total of 491 disease risk prediction models were extracted for cancer, cardiovascular and cerebrovascular diseases, endocrine and metabolic diseases, respiratory diseases, and other diseases and their subgroups, of which 132 were developed by UKB without validation, 183 were developed by UKB with internal validation, 17 were developed by UKB with external validation, and 159 were developed by external development with UKB validation. A total of 188 models used only macro variables (38.29%), and 303 models combined macro and micro variables (61.71%). Model construction methods included survival outcome models, logistic regression, and machine learning. Survival outcome models were dominated by Cox proportional risk regression models and a few models considering competitive risk, accelerated failure models, or different baseline risk functions. Machine learning models included random forest, XGBoost, CatBoost, support vector machine, convolutional neural network, and other methods. The UKB is an essential resource for multiple disease risk prediction modeling studies.

Standards are the technical support for economic activities and social development. The construction and standardization of the pathogenic microorganism preservation standard system is an important technical foundation for the high-quality development of preservation work. Establishing a pathogenic microorganism resource standard system is also important to the national biosafety standards. Through the standardization of pathogenic microbial resource preservation, we can ensure the effective management and sustainable utilization of pathogenic microbial resources, promote the transformation of resources, and serve as an important new element of new productivity to assist the innovative development of biosafety science and technology. This article elaborates and analyzes the establishment background, construction framework, standardization process, and application effects of the standard system for preserving pathogenic microbial resources, providing stronger support for further improving the standard system and promoting the standardization of pathogenic microbial resource preservation.

Patients with chronic kidney disease (CKD) have a relatively high risk of cardiovascular disease (CVD). Risk stratification guided by CVD risk prediction models is essential for managing CKD populations. We reviewed the outcome events, predictive variables, modeling methods, and predictive performance of CVD risk prediction models in CKD populations. We found a large variability in predictive outcomes, number of predictors, and sample sizes across studies. The models tended to overestimate the CVD risk of CKD populations. There are few independently validated or constructed CVD risk prediction models for CKD populations in developing countries, and in particular, there is a lack of independent external validation studies of model calibration. Future studies should comply with the reporting standards of risk prediction models to better support the application of CVD risk prediction models for CKD populations.