Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Men who have sex with men (MSM) represent a high-risk group for human papillomavirus (HPV) infection and transmission. HPV vaccination for MSM has been extensively explored in clinical trials and real-world settings in foreign countries, but it has not been widely promoted for MSM in the Chinese mainland. This article provides a comprehensive review of the HPV vaccination status among MSM, as well as the effectiveness, immunogenicity, safety, and cost-effectiveness of HPV vaccines, aiming to provide reference for the implementation and promotion of HPV vaccination among MSM in the Chinese mainland.

Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Men who have sex with men (MSM) represent a high-risk group for human papillomavirus (HPV) infection and transmission. HPV vaccination for MSM has been extensively explored in clinical trials and real-world settings in foreign countries, but it has not been widely promoted for MSM in the Chinese mainland. This article provides a comprehensive review of the HPV vaccination status among MSM, as well as the effectiveness, immunogenicity, safety, and cost-effectiveness of HPV vaccines, aiming to provide reference for the implementation and promotion of HPV vaccination among MSM in the Chinese mainland.

Objective To systematically analyze influencing factors of migration stress of patients'families transferred out of intensive care unit(ICU)in China,and provide evidence-based guidance for alleviating migration stress level of families of transferred patients.Methods Computer searches were conducted on China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP,China Biomedical Literature Database,Web of Science,PubMed,the Cochrane Library and Embase for observational studies such as cohort studies,case-control studies and cross-sectional studies on factors influencing migration stress among family members of ICU patients.Search deadline was from database establishment to October 2023.Literature screening,quality assessment and data extraction were conducted independently by two researchers in accordance with the inclusion and exclusion criteria.RevMan5.4 software was used to conduct a Meta-analysis of the data results.Results Fifteen studies were finally included,with a total sample size of 2558 and 12 influencing factors were extracted.Fifteen articles were divided into positive scoring group(higher scores,higher levels of migration stress,nine articles)and negative scoring group(higher scores,lower levels of migration stress,six articles)based on instruments used to measure outcome indicators.When analyzing each group,only factors mentioned in the group more than twice were included in Meta analysis.Meta analysis showed that within positive scoring group,family member education level,family member gender,patient awareness,ICU treatment time and family member uncertainty about the disease were factors affecting migration stress of ICU transfer patients'families(P<0.05);In reverse calculation group,educational level of family member,gender of family member,age of patient and ICU treatment time were influencing factors of migration stress of family members of ICU transfer patients(P<0.05).Sensitivity analysis result showed that result of each factor was relatively stable.Conclusion Educational level of family member,gender of family member,age of patient,ICU treatment time,uncertainty of family member's illness are influencing factors of migration stress of family members of patients transferred out of ICU in China.Influence of family member's religious beliefs and patient's consciousness needs further demonstration.

Objective: The purpose of the present study was to evaluate of continuous metabolic syndrome score (cMetS) in screening metabolic syndrome (MetS) and to determine the cut-off values in a representative sample of Xinjiang population aged 15 to 18 years old. Methods: A stratified cluster sampling was used to select participants aged 15-18 years from 13 cities in Xinjiang. cMetS was calculated by summing up the Zscores of standardized waist circumference, mean arterial pressure, high-density lipoprotein, triglyceride, and fasting blood glucose by age and gender. Results: Totally 16.3% of subjects were overweight, and 5.2% were obese. The proportion of overweight and obesity in males was significantly higher than that in females (18.1% vs 13.8%)(6.0% vs. 4.1%)(χ2=15.36，7.89，P<0.05). The prevalence of total MetS was 6.1%, with 6.6% and 5.4% for men and women, respectively. There was a correlation between cMetS and MetS components, and the average cMetS value increased with increasing MetS component(P<0.05). The total cut-off value of cMetS was 0.99 (sensitivity 68.0%, specificity 80.7%), and the area under the ROC curve was 84.9%. The cMetS scores for boys and girls were 0.80 and 1.48, respectively. Conclusion Compared with MetS, cMetS shows more accuracy in screening MetS among youth aged 15-18 years in both gender.