Objective:To provide theoretical support and practice model for improving the clinical medical education supervision system of university-affiliated hospitals.Methods:This study focused on the group of reserve teaching supervision experts. Through literature research, questionnaire survey, and expert interview, the Competency Evaluation Criteria for Reserve Teaching Supervision Experts was constructed, which was implemented according to the training framework of "theory, practice, summary, and feedback". The paired t-test was performed using SPSS 24.0. Results:The research team formulated the Competency Evaluation Criteria for Reserve Teaching Supervision Experts through expert interviews. Six basic competencies and three advanced competencies for reserve teaching supervision experts were identified and their weights were assigned. A supervision team was established with supervision experts (including reserve teaching supervision experts) and teaching staff at a ratio of 1∶6.9, achieving an increase in the coverage of supervised specialties. A toolkit for enhancing the supervision capabilities of reserve experts was developed, and its effectiveness was analyzed. Statistical analysis showed that the overall score gap between reserve teaching supervision experts and senior supervision experts gradually narrowed. In terms of teaching demeanor and teaching effectiveness, there were no significant differences between the two types of experts. However, in terms of teaching content scores, there was a significant difference between reserve teaching supervision experts and senior supervision experts ( P<0.05). Conclusions:The training mechanism of reserve teaching supervision experts can effectively bridge the structural defects of the traditional supervision team. However, further emphasis is needed on the standardization and professionalization of teaching content supervision.

Objective To evaluate the efficacy of an online-to-offline(O2O)health education guided by the'Timing Theory'in improving self-management behaviours among the patients with glaucoma after day surgery.Methods In this randomised controlled study conducted between July and December 2022,70 patients with glaucoma after day surgery in our hospital were assigned to a control group and an experimental group,with 35 patients per group.Patients in control group received routine nursing care,while those in experimental group received O2O health education based on timing theory in addition to the routine nursing care.Outcomes were evaluated using the glaucoma awareness and knowledge questionnaire(GAKQ),self-efficacy to manage chronic disease scale(SEMCD)and glaucoma self-management questionnaire(GSMQ)at baseline,at 1 month and 3 months after surgery.Results A total of 32 patients in the experimental group and 27 in the control group completed the study.The generalised estimating equation(GEE)analysis showed a significant difference,respectively,in total score of GSMQ in interaction effect(F=8.408,P=0.015)and SEMC in time main effect(F=54.660,P<0.001).There were significant differences in total scores of GAKQ in time main effect,inter-group main effect and interaction effect(F=128.483,P<0.001;F=7.991,P<0.05;F=32.652,P<0.001,respectively).At one-month after intervention,the experimental group showed significantly higher GAKQ and SEMCD scores than the control group(Z=-2.004,P<0.05;Z=-2.029,P<0.05,respectively).At 1-and 3-months after intervention,the experimental group demonstrated significantly higher GAKQ scores(Z=-3.987,P<0.001;Z=-4.505,P<0.001,respectively).Conclusion The timing theory based O2O health education significantly improves knowledge of glaucoma,self-efficacy and self-management behaviours among day surgery patients and helps patients better cope with perioperative self-management over day surgery.

Objective To evaluate the efficacy of an online-to-offline(O2O)health education guided by the'Timing Theory'in improving self-management behaviours among the patients with glaucoma after day surgery.Methods In this randomised controlled study conducted between July and December 2022,70 patients with glaucoma after day surgery in our hospital were assigned to a control group and an experimental group,with 35 patients per group.Patients in control group received routine nursing care,while those in experimental group received O2O health education based on timing theory in addition to the routine nursing care.Outcomes were evaluated using the glaucoma awareness and knowledge questionnaire(GAKQ),self-efficacy to manage chronic disease scale(SEMCD)and glaucoma self-management questionnaire(GSMQ)at baseline,at 1 month and 3 months after surgery.Results A total of 32 patients in the experimental group and 27 in the control group completed the study.The generalised estimating equation(GEE)analysis showed a significant difference,respectively,in total score of GSMQ in interaction effect(F=8.408,P=0.015)and SEMC in time main effect(F=54.660,P<0.001).There were significant differences in total scores of GAKQ in time main effect,inter-group main effect and interaction effect(F=128.483,P<0.001;F=7.991,P<0.05;F=32.652,P<0.001,respectively).At one-month after intervention,the experimental group showed significantly higher GAKQ and SEMCD scores than the control group(Z=-2.004,P<0.05;Z=-2.029,P<0.05,respectively).At 1-and 3-months after intervention,the experimental group demonstrated significantly higher GAKQ scores(Z=-3.987,P<0.001;Z=-4.505,P<0.001,respectively).Conclusion The timing theory based O2O health education significantly improves knowledge of glaucoma,self-efficacy and self-management behaviours among day surgery patients and helps patients better cope with perioperative self-management over day surgery.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

OBJECTIVE: To investigate effectiveness of arthroscopic superior capsular reconstruction using a "sandwich" patch combined with platelet-rich plasma (PRP) injection in treating massive irreparable rotator cuff tears. METHODS: A clinical data of 15 patients (15 sides) with massive irreparable rotator cuff tears, who were admitted between September 2020 and March 2023 and met the selective criteria, was retrospectively analyzed. There were 8 males and 7 females with an average age of 62.1 years (range, 40-80 years). The rotator cuff tears were caused by trauma in 7 cases and other reasons in 8 cases. The disease duration ranged from 5 to 25 months, with an average of 17.7 months. According to the Hamada grading, the rotator cuff tears were rated as grade 1 in 2 cases, grade 2 in 8 cases, and grade 3 in 5 cases. All patients were underwent superior capsular reconstruction using the "sandwich" patches (autologous fascia lata+polypropylene patch+autologous fascia lata) combined with PRP injection on patches. The pre- and post-operative active range of motion (ROM) of the shoulder joint, American Shoulder and Elbow Surgeons (ASES) score, Constant-Murley score, University of California, Los Angeles Shoulder Rating Scale (UCLA) score, and visual analogue scale (VAS) score were recorded. The subacromial space was measured on the imaging and rotator cuff integrity was assessed based on Sugaya grading. RESULTS: All incisions healed by first intention after operation without any complications such as infection. All patients were followed up 12-18 months (mean, 14.4 months). At last follow-up, the active ROMs of flexion, abduction, external rotation, internal rotation of the shoulder joint, subacromial space, ASES score, Constant-Murley score, and UCLA score increased, and VAS score decreased, showing significant differences when compared with preoperative values ( P<0.05). There was no significant difference in the Sugaya grading between last follow-up and immediately after operation ( P>0.05). CONCLUSION For massive irreparable rotator cuff tears, arthroscopic superior capsular reconstruction using the "sandwich" patches combined with PRP injection can restore stability of the shoulder joint, relieve pain, promote rotator cuff healing, and achieve good short-term effectiveness.
Humans ; Platelet-Rich Plasma ; Female ; Male ; Middle Aged ; Aged ; Rotator Cuff Injuries/therapy* ; Arthroscopy/methods* ; Adult ; Retrospective Studies ; Aged, 80 and over ; Treatment Outcome ; Plastic Surgery Procedures/methods* ; Rotator Cuff/surgery* ; Range of Motion, Articular ; Shoulder Joint/surgery*

Objective:Committee of Minimally Invasive Cardiovascular Surgery(CMICS) conducts an annual summary of minimally invasive cardiovascular surgery procedures performed throughout the country, which includes a comprehensive survey of the total number of minimally invasive procedures by region and the distribution of minimally invasive procedures by hospital. Since CMICS first published the 2018-2019 China Minimally Invasive Cardiovascular Surgery Data White Paper in 2020, the report has received great attention from peers within and outside the industry. In this statistical report, CMICS will focus on publishing the data related to minimally invasive cardiovascular surgery in China from 2021 to 2023 for reference and use by industry peers.

OBJECTIVE: To investigate the effect and mechanism of Hyssopus cuspidatus Boriss. extract (HCE) in ovalbumin (OVA)-induced allergic asthma. METHODS: Components identification of HCE was conducted using ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry. Mice were sensitized with OVA to establish asthmatic model, and dexamethasone was used as positive control. Respiratory reactivity, white cells counting in bronchoalveolar lavage fluid and peripheral blood, cytokine level measurement in serum and lung tissue, and histologic examination were performed to evaluate the therapeutic effect of HCE on asthma. Network pharmacology approach was used for mechanism prediction. Western blotting and untargeted lipidomics method were applied for mechanism validation. RESULTS: Fifty-two compounds were identified in HCE, predominantly terpenoids and flavonoids. HCE markedly reduced airway resistance, the eosinophil infiltration in lung tissues, and the levels of immunoglobulin E, interleukin-4, interleukin-5, and interleukin-13. Network pharmacology analysis suggested phosphatidylinositol 3-kinases (PI3K), c-Jun N-terminal kinase (JNK), and p38 Mitogen-activated protein kinase (p38 MAPK) may be key proteins of HCE in the treatment of allergic asthma. Western blot results indicated that the levels of phosphorylated PI3K, JNK, and P38 were downregulated in HCE-treated group. Moreover, HCE significantly upregulated the levels of ceramide and sphingomyelin and downregulated the level of phosphatidylcholine. CONCLUSION HCE inhibited allergic asthma via PI3K/JNK/P38 signaling pathway and lipid homeostasis regulation.

Objective:To provide theoretical support and practice model for improving the clinical medical education supervision system of university-affiliated hospitals.Methods:This study focused on the group of reserve teaching supervision experts. Through literature research, questionnaire survey, and expert interview, the Competency Evaluation Criteria for Reserve Teaching Supervision Experts was constructed, which was implemented according to the training framework of "theory, practice, summary, and feedback". The paired t-test was performed using SPSS 24.0. Results:The research team formulated the Competency Evaluation Criteria for Reserve Teaching Supervision Experts through expert interviews. Six basic competencies and three advanced competencies for reserve teaching supervision experts were identified and their weights were assigned. A supervision team was established with supervision experts (including reserve teaching supervision experts) and teaching staff at a ratio of 1∶6.9, achieving an increase in the coverage of supervised specialties. A toolkit for enhancing the supervision capabilities of reserve experts was developed, and its effectiveness was analyzed. Statistical analysis showed that the overall score gap between reserve teaching supervision experts and senior supervision experts gradually narrowed. In terms of teaching demeanor and teaching effectiveness, there were no significant differences between the two types of experts. However, in terms of teaching content scores, there was a significant difference between reserve teaching supervision experts and senior supervision experts ( P<0.05). Conclusions:The training mechanism of reserve teaching supervision experts can effectively bridge the structural defects of the traditional supervision team. However, further emphasis is needed on the standardization and professionalization of teaching content supervision.

Background and purpose:Diffuse large B-cell lymphoma(DLBCL)is subclassified into germinal center B-cell-like(GCB)and non-GCB subtypes,which differ in prognosis and treatment response.However,current distinction still relies on invasive pathological assays.This study developed radiomics and deep-learning models based on multiparametric magnetic resonance imaging(MRI)to non-invasively differentiate the two subtypes preoperatively,thereby reducing dependence on histopathological examination.Methods:This study retrospectively included patients with pathologically confirmed DLBCL diagnosed at Huashan Hospital,Fudan University,and other institutions between March 2013 and December 2024.Using multiparametric MRI data,we developed DLBCL-subtype classification models that combined 4 radiomics-based machine-learning algorithms:support vector machine(SVM),logistic regression(LR),Gaussian process(GP)and Naive Bayes(NB),with 3 deep-learning architectures[densely-connected convolutional networks 121(DenseNet121),residual network 101(ResNet101)and EfficientNet-b5].Additionally,two radiologists with different experience levels independently classified DLBCL on MRI in a blinded fashion.Model and radiologist performance were quantified using the area under the receiver operating characteristic curve(AUC),accuracy(ACC),and F1-score to evaluate their ability to distinguish GCB from non-GCB subtypes.This study was approved by the Ethics Committee of Huashan Hospital of Fudan University(No.KY2024-663),and all patients signed informed consents.Results:A total of 173 patients were enrolled(55 with GCB subtype and 118 with non-GCB subtype).Radiomics and deep learning methods effectively distinguished DLBCL subtypes.Among these,the GP radiomics model(based on T1-CE+T2-FLAIR+ADC sequences)and DenseNet121 deep learning model(based on T1-CE+T2-FLAIR+ADC sequences)demonstrated optimal performance.Both achieved excellent results on the internal validation set(GP:AUC=0.900,ACC=0.896,F1=0.840;DenseNet121:AUC=0.846,ACC=0.854,F1=0.774)and maintained robustness on the external validation set.Furthermore,the classification efficacy of the optimal AI model surpassed that of experienced radiologists(highest physician AUC=0.678).Conclusion:Radiomics and deep-learning models based on multiparametric MRI features can effectively differentiate GCB from non-GCB subtypes of DLBCL.Among them,GP and DenseNet121 exhibit outstanding performance,especially when integrating multi-sequence feature sets for classifying DLBCL subtypes on complex imaging data.

Objective:Committee of Minimally Invasive Cardiovascular Surgery(CMICS) conducts an annual summary of minimally invasive cardiovascular surgery procedures performed throughout the country, which includes a comprehensive survey of the total number of minimally invasive procedures by region and the distribution of minimally invasive procedures by hospital. Since CMICS first published the 2018-2019 China Minimally Invasive Cardiovascular Surgery Data White Paper in 2020, the report has received great attention from peers within and outside the industry. In this statistical report, CMICS will focus on publishing the data related to minimally invasive cardiovascular surgery in China from 2021 to 2023 for reference and use by industry peers.