Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Objective: To establish a machine learning-based precision blood donor recruitment model at the county level and assess its generalizability and applicability. Methods: A retrospective study was conducted using blood donation and SMS recruitment data from the Taicang Branch of the Suzhou Blood Center between 2019 and 2024. Multiple machine learning algorithms were employed, including extreme gradient boosting, support vector machine, k-nearest neighbor, logistic regression, decision tree, random forest, and multilayer perceptron. These were combined with techniques such as synthetic minority oversampling, undersampling, and cost-sensitive learning (using MFE and MSFE loss functions). Model parameters were optimized through grid search to identify the best-performing model. Results: In a prospective comparative study against conventional methods, the machine learning models increased the recruitment success rate among high-willingness donors by an average of 129.15%, and the recruitment efficiency per SMS improved by 125.02% compared with the traditional method. Under full-scale SMS sending, the recruitment rate per SMS increased by 42.61%, and SMS sending efficiency improved by 31.77%, significantly enhancing recruitment performance. Conclusion: This study represents the first application of a machine learning-based precision donor recruitment model at the county-level in China. The precise recruitment framework not only improves recruitment efficiency and reduces recruitment costs but also demonstrates strong scalability and generalizability. It provides a scientific and feasible intelligent pathway to ensure the safety and sustainability of the blood supply.

Objective:To explore the value of ultrasound imaging characteristics combined with clinical indicators in assessing the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC).Methods:A retrospective analysis was conducted for patients who underwent pancreatic contrast-enhanced ultrasound (CEUS) from September 2017 to October 2023 at Peking Union Medical College Hospital and were diagnosed with PDAC based on pathological findings. Various parameters were recorded, including CA19-9 levels, tumor size, location, morphologic features, echogenicity, presence of internal cystic components, dilatation of the main pancreatic duct, peripheral vascular invasion, CEUS characteristics, presence or absence of liver metastasis, and treatment methods. In April 2024, patient survival information was obtained through telephone follow-up or review of medical records. Based on the results of the cox regression model analysis, a nomogram model of the risk of death was developed. The receiver operating characteristic (ROC) curves were applied to evaluate the predictive efficacy of the model. The calibration curves were plotted to evaluate the accuracy of the model, and clinical decision curves were used to evaluate the clinical benefit of the model.Results:This study included a total of 207 patients with PDAC. As of April 2024, 71 patients were alive and 136 died, with a median survival time of 14 months (95% CI: 12 -17). Multivariate analysis confirmed that the elevated CA19-9 ( HR=1.689, 95% CI: 1.102-2.588), tumor size >4 cm ( HR=1.641, 95% CI: 1.159-2.322), taller-than-wide shapes ( HR=1.450, 95% CI: 1.019-2.065), incomplete hypo-enhancement ( HR=1.618, 95% CI: 1.100-2.380), and liver metastasis ( HR=1.687, 95% CI: 1.175-2.423) were independent risk factors for survival in patients with PDAC. A nomogram model was further constructed for 6-month, 12-month and 3-year survival of patients with PDAC. The areas under the ROC curve were 0.679, 0.705 and 0.815, respectively. The calibration curves suggested that the model was more accurate, and the clinical decision curves showed that the model had a better clinical benefit. Conclusion:The combined use of ultrasound imaging characteristics and clinical indicators could effectively predict the prognosis of PDAC patients. Specifically, tumor size >4 cm, taller-than-wide shapes, incomplete hypo-enhancement, elevated CA19-9, and the presence of liver metastasis are correlated with poorer survival outcomes. The nomogram model constructed on the basis of these factors can be used to assess the survival of patients with PDAC.

With the deepening of China's medical reform, people's demand for health is growing, which promotes the construction of "new medicine" and puts forward higher requirements for the cultivation and education of medical students. Undergraduate medical education is a crucial period for the growth of medical students, and how to do a good job in undergraduate teaching under the background of "new medicine" is currently a research hotspot. The clinical teaching stage is an important period for medical students to fully understand clinical disciplines and cultivate their understanding of specialties. Therefore, we should explore new teaching methods and means to adapt to the needs of the new era. In the context of "new medicine", the medical-engineering fusion diagnosis and treatment technology has become an important trend in the clinical diagnosis and treatment of oncology. In order to adapt to this change, clinical teaching and teaching management in oncology also need new exploration and research. Taking the clinical teaching of oncology as an example, this article discusses how to cultivate medical students' thinking of medical-engineering fusion.

【Objective】 To study the relationship between the key influencing factors and the short, medium and long term blood demand, so as to provide basis for building a blood demand prediction model with less prediction error and practical guidance. 【Methods】 Through literature research, the influencing factors of blood demand were preliminarily determined. Questionnaires were designed and distributed to relevant experts, and factor analysis was carried out on the survey results to obtain key influencing factors through Delphi method. 【Results】 Through literature research, 19 influencing factors of clinical blood demand were obtained, including policy factors, medical service demand, medical technology level, regional population, population characteristics, population structure, medical resource, number of beds, culture, natural environment, operation, patients outside the region, blood use in different departments, blood infusion, time trend, emergencies and disasters, the condition of disasters, hospitals in disaster area, limited diagnosis and treatment ability. Through Delphi method and data analysis, six key factors affecting blood demand were obtained, namely sudden disaster, medical resource, environmental factor, population, bed number and blood infusion. 【Conclusion】 The influence of key factors on clinical blood demand was divided into multiple hierarchies. Blood infusion and sudden disaster were short-term influencing factors. Medical resource, population and number of beds were medium influencing factors. Environmental factor was long-term influencing factor. Short, medium and long-term influencing factors were interrelated, and have different impacts on clinical blood demand. Based on the interaction relationship, a three-dimensional mathematical model of influencing factors of clinical blood demand was established, which provided a preliminary research basis for building a blood demand prediction model with less prediction error and practical guidance.

Objective: To investigate the experience of child sexual abuse (CSA) and depressive symptoms among young men who sex with men (YMSM) in Guangzhou, and then to explore the impact of CSA on depressive symptoms. Methods: A convenient sampling method was used to recruit MSM. YMSM who aged 18-24 and have lived in Guangzhou for more than 3 months were included in this study. Data on demographic characteristics, homosexual partners seeking behaviors, sexual orientation, CSA experience and depression were collected through an electronic questionnaire. χ 2 tests were used to compare the proportion of CSA and depressive symptoms among YMSM with different characteristics. Logistic regressions were preformed to assess the impact of CSA on depression. Results: The proportion of CSA experience and depressive symptoms among participants were 31.51% (115/365) and 47.95% (175/365), respectively. Participants with junior high school education or lower and who sought homosexual partners offline reported(75.00%,62.22%) a higher proportion of depressive symptoms( χ 2=7.97，4.19， P <0.05). After adjusting for factors e.g. ethnicity, residence, resident duration in Guangzhou, studentship, education, monthly income, sexual orientation and homosexual partners seeking behaviors, the multivariable Logistic regression model showed that YMSM with CSA experience (a OR=1.81, 95%CI =1.12-2.93) were more likely to have depressive symptoms than those without CSA experience. Conclusion The prevalence of CSA experience and depressive symptom is relatively high among YMSM in Guangzhou, and CSA experience is associated with higher risk of depressive symptoms. More attention should be paid to strengthen the psychological intervention for YMSM, especially for those who experienced CSA, so as to reduce the risk of depression and improve mental health among YMSM.

Objective:To investigate the preventive effects of hydroxyethyl starch and methoxamine on complications of combined spinal and epidural anesthesia in older adult patients and its influence on hemodynamics.Methods:The clinical data of 120 older adult patients who underwent combined spinal and epidural anesthesia in General Hospital of Armed Police and Marine Police between February 2017 and April 2019 were retrospectively analyzed. The included patients were divided into two groups according to the adverse reactions of drugs used to induce anesthesia: control group (methoxamine injection, n = 55) and observation group (methoxamine + hydroxyethyl starch, n = 65). The changes in hemodynamic index, complications and cognitive function were analyzed in each group. Results:Systolic blood pressures measured at 5, 15 and 30 minutes after anesthesia were (127.53 ± 10.63) mmHg, (119.85 ± 10.86) mmHg, (125.45 ± 10.74) mmHg, respectively in the observation group, which were significantly higher than (118.23 ± 11.32) mmHg, (114.34 ± 10.32) mmHg, (119.01 ± 10.34) mmHg in the control group ( t = 3.66, 2.24, 2.63, all P < 0.05). Diastolic blood pressures measured at 5, 15 and 30 minutes after anesthesia were (76.65 ± 9.07) mmHg, (78.43 ± 9.32) mmHg, (80.19 ± 9.43) mmHg, respectively in the observation group, which were significantly higher than (63.30 ± 9.43) mmHg, (65.98 ± 9.26) mmHg, (70.38 ± 9.17) mmHg in the control group ( t = 6.24, 5.78, 4.55, all P < 0.05). Heart rates measured at 5, 15 and 30 minutes after anesthesia were (73.65 ± 7.67) beats/min, (83.27 ± 9.57) beats/min, (84.10 ± 9.67) beats/min respectively in the observation group, which were significantly higher than (69.76 ± 7.82) beats/min, (64.70 ± 9.38) beats/min, (65.80 ± 9.43) beats/min in the control group ( t = 2.17, 8.46, 8.27, all P < 0.05). The incidences of hypotension and bradycardia in the observation group were 3.08% (2/65) and 3.08% (2/65), respectively, which were significantly lower than 25.45% (14/55) and 21.82% (12/55) in the control group ( χ2 = 12.91, 10.15, both P < 0.05). The Mini Mental State Examination scores measured at 1, 6 and 24 hours after surgery were (26.69 ± 2.51) points, (26.74 ± 2.75) points, and (26.99 ± 2.36) points, respectively in the observation group, which were significantly higher than (23.17 ± 2.41) points, (23.43 ± 2.36) points, and (24.18 ± 2.12) points in the control group ( t = 6.17, 5.55, 5.39, all P < 0.05). Conclusion:Hydroxyethyl starch combined with methoxamine for combined spinal and epidural anesthesia in older adult patients can effectively reduce the hemodynamic fluctuations, decrease the incidences of hypotension and bradycardia, and does not produce a remarkable effect on postoperative cognitive function.

Objective:To compare the clinical efficacy of extracorporeal membrane oxygenation (ECMO) and ventilation therapy in the treatment of severe blast lung injury.Methods:A retrospective cohort study was conducted to analyze the clinical data of 37 patients with severe blast lung injury admitted to 909th Hospital of Joint Logistics Support Force (Affiliated Dongnan Hospital of Xianmen University Medical College) from January 2000 to December 2021, including 23 males and 14 females; aged 26-50 years [(36.3±11.1)years]. The chest abbreviated injury score (AIS) was 3-5 points. In all, 16 patients were treated with ECMO from January 2017 to December 2021 (ECMO group) and 21 with ventilator from January 2000 to December 2016 (ventilator group). Blood gas analysis indexes [arterial pH, partial pressure of carbon dioxide (PaCO 2), partial pressure of oxygen (PaO 2), blood lactate (Lac)] and hemodynamics indexes [central venous pressure (CVP), cardiac output index (CI), pulmonary arterial systolic pressure (PASP), pulmonary capillary wedge pressure (PAWP)] were compared in the two groups at 30 minutes before treatment and at 2, 4, 6 hours after treatment. The mechanical ventilation time, ICU length of stay, acute physiology and chronic health evaluation II (APACHE II) score and mortality were measured at 7 days after treatment. Results:All patients were followed up for 24-48 months [(33.6±8.2)months]. The blood gas analysis and hemodynamic indexes were significantly improved in the two groups at 2, 4, 6 hours after treatment when compared with those at 30 minutes before treatment (all P<0.05), and the improvements were still statistically significant in ECMO group at 4, 6 hours after treatment when compared with those at 2 hours after treatment (all P<0.05), while not in ventilator group (all P>0.05). There was no significant difference in blood gas analysis indexes or hemodynamic indexes between the two groups at 30 minutes before treatment (all P>0.05). After treatment for 2, 4, 6 hours, blood gas analysis indexes and hemodynamic indexes in ECMO group were statistically different from those in ventilator group (all P<0.05). After treatment for 7 days, the mechanical ventilation time, ICU length of stay, APACHE II score and mortality were (3.2±1.2)days, (5.4±1.3)days, (14.1±3.3)points and 12.5% (2/16) in ECMO group, significantly different from (5.1±1.6)days, (7.6±1.6)days, (10.2±2.6)days and 28.6% (6/21) in ventilator group (all P<0.05). Conclusion:For severe blast lung injury, ECMO can attain rapid and continuous improvement of refractory hypoxemia and dyspnea, shorten the duration of mechanical ventilation and ICU length of stay and reduce the mortality rate when compared with ventilator therapy.

The vagina contains at least a billion microbial cells,dominated by lactobacilli.Here we perform metagenomic shotgun sequencing on cervical and fecal samples from a cohort of 516 Chinese women of reproductive age,as well as cervical,fecal,and salivary samples from a second cohort of 632 women.Factors such as pregnancy history,delivery history,cesarean section,and breastfeeding were all more important than menstrual cycle in shaping the microbiome,and such information would be necessary before trying to interpret differences between vagino-cervical micro-biome data.Greater proportion of Bifidobacterium breve was seen with older age at sexual debut.The relative abundance of lactobacilli especially Lactobacillus crispatus was negatively associated with pregnancy history.Potential markers for lack of menstrual regularity,heavy flow,dysmenor-rhea,and contraceptives were also identified.Lactobacilli were rare during breastfeeding or post-menopause.Other features such as mood fluctuations and facial speckles could potentially be predicted from the vagino-cervical microbiome.Gut and salivary microbiomes,plasma vitamins,metals,amino acids,and hormones showed associations with the vagino-cervical microbiome.Our results offer an unprecedented glimpse into the microbiota of the female reproductive tract and call for international collaborations to better understand its long-term health impact other than in the settings of infection or pre-term birth.