Medical technology proficiency is a key indicator of a municipal-level hospital′s core competitiveness. To continuously enhance its medical capabilities, a tertiary prefecture-level hospital in Zhejiang province launched the " 100 high-tech projects" in 2010, designating it as a priority technical development program. The hospital established a hospital-level knowledge management team in 2020 to build a knowledge management system for high-tech projects. This system fostered a virtuous cycle of synergistic advancement in medical technology innovation, knowledge management, and talent development by extracting both explicit and tacit knowledge from the hospital′s high-tech projects, absorbing tacit knowledge from benchmark hospitals′ relevant technologies, and establishing a knowledge-sharing platform. From January 2021 to October 2024, the hospital secured approval for 9 national and provincial-level clinical key specialties, established 7 municipal key technological innovation teams, and enrolled 46 provincial/municipal-level talents. A the same time, talent attrition remained low. The implementation of the knowledge management system to empower high-tech development had achieved phased results. This practice could provide references for other hospitals to enhance their medical technology capabilities.

Human amnion (hAM), as a biomaterial, has made significant progress in the field of ophthalmology, particularly in the treatment of retinal diseases. hAM possesses biological properties such as promoting tissue repair, inhibiting inflammation and neovascularization, and reducing fibrosis, which have led to its promising clinical outcomes in treating macular holes, retinal detachment, proliferative vitreoretinopathy, optic disc depression-related macular detachment, and age-related macular degeneration. The application of hAM can improve surgical success rates and promote vision recovery, with no significant rejection reactions observed due to its low immunogenicity. Nevertheless, the use of hAM still faces challenges in optimizing preparation and storage techniques, enhancing therapeutic efficacy, and reducing the risk of infectious disease transmission. Future research should focus on addressing these issues to further promote the application of hAM in retinal disease treatment and enhance its effectiveness.

Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

Objective:To explore the association between big five personality traits, emotional coping information acquisition ability, and depressive symptoms among Chinese adults, providing theoretical support for behavioral intervention strategies targeting individuals with different personality traits and depressive symptoms.Methods:Data were obtained from the Psychology and Behavior Investigation of Chinese Residents (PBICR), a cross-sectional survey conducted from July to September 2021 across 120 cities in China, with 9 966 adults involved. The big five inventory-10 (BFI-10) and patient health questionnaire-9 (PHQ-9) were used to assess personality traits and depressive symptoms, respectively. Emotional coping information acquisition ability was evaluated using a four-point Likert scale. Multivariable binary Logistic regression analysis was performed using R 4.3.1 software to examine associations among big five personality, emotion-coping information acquisition ability, and depressive symptoms.Results:Among the 9 966 surveyed adults, 1 213 individuals(12.2%) who met the PHQ-9 criteria were assessed to have positive depressive symptoms. Difficulties in acquiring emotional coping information were reported by 1 934 individuals(19.4%). The scores of extraversion, agreeableness, neuroticism, openness and conscientiousness in big five personality traits were 6.26±1.58, 7.00±1.49, 6.26±1.49, 6.41±1.52 and 6.91±1.60, respectively. Inter-group comparisons reported statistically significant differences in the five major personality traits between the negative and positive group of depressive symptoms ( χ2=215.39, P<0.05). Logistic regression analysis showed that poor emotional coping information acquisition ability ( B=0.304, OR(95% CI)=1.36(1.15-1.59)) and dominant traits of extraversion ( B=0.597, OR(95% CI)=1.82(1.55-2.13)) or openness ( B=0.321, OR(95% CI)=1.38(1.10-1.72)) were significant risk factors for depression. Conclusions:Chinese adults with big five personality mainly presented as extroversion and openness traits, and with poor emotional coping and information acquisition abilities might be associated with depressive symptoms.

Objective To evaluate the transition rules of normal body mass index(BMI),overweight and metabolic syndrome(MetS)in patients with major depressive disorder(MDD).Methods Patients with MDD who had multiple admission records between Jan 2016 and Nov 2021 in Beijing Anding Hospital,Capital Medical University were included.Based on the overweight and metabolic syndrome status assessed at each admission,the patients were categorized into three states:normal BMI,overweight and metabolic syndrome.A multi-state Markov model was used to analyze the transition intensity and transition frequency between three states and the influence of covariates on transitions.Results A total of 892 records of 398 subjects were included,with a median age of 56 years old and 31.4% males.The median follow-up period was 40 months.The multi-state model showed that there were 494 transitions between the three states,of which 5.1% moved from normal BMI to overweight and 5.5% moved from overweight to MetS.The intensity of transition was the highest from overweight to MetS,9.52 times greater than overweight to normal BMI.After 48.53 months,MDD patients with normal BMI began to transition to MetS.For overweight MDD patients,the transition to MetS started after 8.77 months.MDD patients with normal BMI or overweight had 31.4% and 50.4% probabilities of developing Mets after 36 months.For MDD patients comorbid with MetS,the probability of staying at MetS was 51.2% after 36 months.Multivariate analysis showed that being unmarried was a risk factor against developing overweight in normal BMI MDD patients,while a higher level of education was a protective factor against developing MetS in overweight MDD patients.Conclusion MDD patients exhibited a higher intensity and risk of developing MetS,and it is not easy to reverse MetS,suggesting that BMI management and MetS intervention should be strengthened in MDD patients.

Medical technology proficiency is a key indicator of a municipal-level hospital′s core competitiveness. To continuously enhance its medical capabilities, a tertiary prefecture-level hospital in Zhejiang province launched the " 100 high-tech projects" in 2010, designating it as a priority technical development program. The hospital established a hospital-level knowledge management team in 2020 to build a knowledge management system for high-tech projects. This system fostered a virtuous cycle of synergistic advancement in medical technology innovation, knowledge management, and talent development by extracting both explicit and tacit knowledge from the hospital′s high-tech projects, absorbing tacit knowledge from benchmark hospitals′ relevant technologies, and establishing a knowledge-sharing platform. From January 2021 to October 2024, the hospital secured approval for 9 national and provincial-level clinical key specialties, established 7 municipal key technological innovation teams, and enrolled 46 provincial/municipal-level talents. A the same time, talent attrition remained low. The implementation of the knowledge management system to empower high-tech development had achieved phased results. This practice could provide references for other hospitals to enhance their medical technology capabilities.

Human amnion (hAM), as a biomaterial, has made significant progress in the field of ophthalmology, particularly in the treatment of retinal diseases. hAM possesses biological properties such as promoting tissue repair, inhibiting inflammation and neovascularization, and reducing fibrosis, which have led to its promising clinical outcomes in treating macular holes, retinal detachment, proliferative vitreoretinopathy, optic disc depression-related macular detachment, and age-related macular degeneration. The application of hAM can improve surgical success rates and promote vision recovery, with no significant rejection reactions observed due to its low immunogenicity. Nevertheless, the use of hAM still faces challenges in optimizing preparation and storage techniques, enhancing therapeutic efficacy, and reducing the risk of infectious disease transmission. Future research should focus on addressing these issues to further promote the application of hAM in retinal disease treatment and enhance its effectiveness.

The emergence and evolution of digital intelligent technology has profoundly influenced the development of minimally invasive research-oriented hepatobiliary and pancreatic surgery discipline. Over various periods, our team has always adhered to the principle of "being oriented by clinical issues and driven by clinical needs", continuously carried out innovative research across interdisciplinary boundaries, propelling the evolution of digital intelligent technology. Spanning over two decades, this journey includes the progression from digital virtual human, three-dimensional visualization, molecular fluorescence imaging, augmented reality and mixed reality, artificial intelligence, to the realm of human visualization meta-universe. This evolution facilitates the shift from two-dimensional empirical diagnoses of hepatobiliary and pancreatic surgical diseases to deep learning intelligent diagnostics, the transition from morphology-based tumor diagnoses to molecular imaging-based diagnostics, and from conventional empirical surgery to intelligent navigation surgery. The authors provide a comprehensive review of our developmental process and achievements within the realm of digital intelligent diagnostic and therapeutic technologies, with the aims to promote the development and application of digital intelligent medicine.

Objective:To explore the influencing factors of loss of follow-up in a cohort study of participants with acute phase depressive disorders.Methods:A multicenter prospective cohort of patients with depressive disorders conducted from 2017 to 2021 was followed up at baseline, week 4, and week 8.The general information, disease characteristics, life satisfaction, functional status and other information of the subjects were collected.Loss of follow-up was determined by whether the patients followed the follow-up plan for on-site visits.SAS 9.4 software was used for data description and statistical analysis, and multiple Logistic regression analysis was used to explore the influencing factors of subjects loss to follow-up.Results:A total of 1 023 patients with acute phase depressive disorders were included in the study.The scores of the 17-item Hamilton depression rating scale, the quality of life enjoyment and satisfaction questionnaire-short form, and Sheehan disability scale were 18.3±6.6, 37.7±9.6, and 13.8±7.5, respectively.The loss of follow-up ratios at week 4, week 8 and complete visits were 28.6% (293/1 023), 19.5% (199/1 023), and 13.9% (142/1 023), respectively.Multivariate analysis showed that higher depression severity at baseline ( OR=0.81, 95% CI=0.79-0.84) and higher life satisfaction at baseline ( OR=0.96, 95% CI=0.95-0.97) were associated with lower loss of follow-up ratio at week 4.Compared with the < 30-year group, the loss of follow-up ratio at week 4 in the 40-49 -year group was lower ( OR=0.36, 95% CI=0.19-0.65).Patients with high anxiety factor scores ( OR=1.41, 95% CI=1.30-1.54) and the first depressive episode ( OR=1.52, 95% CI=1.10-2.12) had higher loss of follow-up ratio at week 4.The lower loss of follow-up ratio was associated with education level at week 8 ( OR=0.42, 95% CI=0.21-0.85) and life satisfaction at week 4 ( OR=0.97, 95% CI=0.94-0.99).A higher baseline anxiety levels ( OR=1.38, 95% CI=1.27-1.50), lower severity of baseline depressive symptoms ( OR=0.83, 95% CI=0.80-0.86), younger age ( OR=0.44, 95% CI=0.25-0.75), and lower baseline life satisfaction ( OR=0.96, 95% CI=0.95-0.97) were associated with a higher risk of complete loss of follow-up.There was a significant association between the research center and the loss of follow-up rate at week 4, 8, and complete visits. Conclusions:Patients with first episode depression in the acute phase, younger onset age, lower depression severity, comorbid anxiety symptom, and poor or no improvement in disease-related quality of life/satisfaction were associated with a higher risk of loss of follow-up in the prospective cohort study.