ObjectiveTo investigate the effect of Yaoshu Zhuyu Fang on the regulation of the microRNA-17-5P (miR-17-5P)/murine double minute 2 (MDM2)/p53 axis in the proliferation and apoptosis of rat intervertebral disc annulus fibrosus cells, and its potential molecular mechanism. MethodsIntervertebral disc annulus fibrosus tissues were obtained from 8-week-old SPF-grade male SD rats, and annulus fibrosus cells were isolated and obtained by enzyme digestion and mechanical dispersion. Annulus fibrosus cells were divided into 6 groups: Group C was the blank control group, in which annulus fibrosus cells were not treated with interleukin-1β (IL-1β) but were cultured in RPMI 1640 complete medium. Group β was the degeneration model group constructed by treating annulus fibrosus cells with 10 ng/mL IL-1β for 24 h. Group β+B was the IL-1β + blank serum group, in which annulus fibrosus cells were first treated with IL-1β to construct the degeneration model, then treated with RPMI 1640 medium containing 5% blank serum for 24 h. Group β+W was the IL-1β + Yaoshu Zhuyu Fang-containing serum group, in which annulus fibrosus cells were first treated with IL-1β to construct the degeneration model, then treated with RPMI 1640 medium containing 5% Yaoshu Zhuyu Fang-containing serum for 24 h. Group β+I was the IL-1β + miR-17-5P inhibitor group, in which annulus fibrosus cells were first treated with IL-1β to construct the degeneration model, then transfected with miR-17-5P inhibitor. Group β+I+W was the IL-1β + miR-17-5P inhibitor + Yaoshu Zhuyu Fang-containing serum group, in which annulus fibrosus cells were first treated with IL-1β to construct the degeneration model, then transfected with miR-17-5P inhibitor, and finally treated with RPMI 1640 medium containing 5% Yaoshu Zhuyu Fang-containing serum for 24 h. CCK-8 assay was used to detect cell survival rate. Flow cytometry was used to detect cell apoptosis. Real-time quantitative PCR was used to detect the expression levels of miR-17-5P, MDM2 mRNA, and p53 mRNA in cells. Western blotting was used to detect the protein expression levels of MDM2 and p53 in cells. Dual-luciferase reporter system was used to analyze the targeting relationship between miR-17-5P and MDM2. ResultsCompared with Group C, Group β showed a significant decrease in cell survival rate (P<0.001), a significant increase in cell apoptosis rate (P<0.001), significantly increased expression of miR-17-5P, p53 mRNA, and p53 protein (P<0.001), and significantly decreased expression of MDM2 mRNA and protein (P<0.001). Compared with Group β, Group β+W, Group β+I, and Group β+I+W showed significantly increased cell survival rate, significantly decreased apoptosis rate, significantly decreased expression of miR-17-5P, p53 mRNA, and p53 protein, and significantly increased expression of MDM2 mRNA and protein (P<0.001). Moreover, changes in the above indicators were greater in Group β+I+W (P<0.001). Circular RNA Interactome predicted that miR-17-5P had specific binding sites with the 3' untranslated region (3'UTR) of MDM2. Transfection of miR-17-5P mimic significantly reduced the luciferase expression level of co-transfected luciferase reporter plasmid containing wild-type MDM2 3'UTR (P<0.05), but had no significant effect on luciferase expression in cells co-transfected with luciferase reporter plasmid containing mutant MDM2 3'UTR (P>0.05). ConclusionYaoshu Zhuyu Fang down-regulates the expression of miR-17-5P, promotes the synthesis of MDM2 protein, thereby down-regulates p53, promotes proliferation, and inhibits the apoptosis of rat intervertebral disc annulus fibrosus cells.

To analyze the relationship between serum non-HDL-C levels and cardiovascular disease (CVD) mortality in community populations. A retrospective cohort study was conducted using the Yuecheng District Health Information Platform in Shaoxing City, Zhejiang Province. The study cohort included individuals aged 40 years or older with no prior history of CVD who underwent physical examinations at Yuecheng District healthcare institutions between January and December 2019. A total of 39 038 participants were included, including 19 085 males (48.9%) and 19 953 females (51.1%), with a mean age of (73.64±9.10) years. The mean follow-up duration was 52.3 months. During follow-up, 1 227 CVD death events occurred. The results indicated a significant overall association between non-HDL-C levels and the risk of CVD mortality, including coronary heart disease (CHD) and stroke. Cox models indicated that, using the ideal level of non-HDL-C as the reference, the hazard ratios (HRs) for risk of CVD death in the suitable level, borderline elevated level and elevated level groups were 1.24 (95% CI: 1.08-1.42), 1.57 (95% CI: 1.34-1.85) and 2.31 (95% CI: 1.87-2.86), respectively. The corresponding HRs for CHD death were 1.39 (95% CI: 1.10-1.76), 1.69 (95% CI: 1.28-2.12) and 2.53 (95% CI: 1.76-3.64), respectively. Subgroup analysis revealed significant interaction effects between non-HDL-C and sex, smoking, alcohol consumption, and diabetes (all P interaction<0.05). Sensitivity analyses confirmed that results were consistent with the primary findings regarding the association between non-HDL-C and CVD mortality risk. In conclusion, increasing non-HDL-C levels are associated with higher risks of death from cardiovascular diseases, including stroke and CHD. The risk of CVD death associated with elevated non-HDL-C is greater among males, individuals with a history of diabetes, smokers or drinkers. In the future, attention should be paid to the monitoring of non-HDL-C in community health management, and the intensive and personalized management of blood lipids in high-risk population should be strengthened.

To analyze the relationship between serum non-HDL-C levels and cardiovascular disease (CVD) mortality in community populations. A retrospective cohort study was conducted using the Yuecheng District Health Information Platform in Shaoxing City, Zhejiang Province. The study cohort included individuals aged 40 years or older with no prior history of CVD who underwent physical examinations at Yuecheng District healthcare institutions between January and December 2019. A total of 39 038 participants were included, including 19 085 males (48.9%) and 19 953 females (51.1%), with a mean age of (73.64±9.10) years. The mean follow-up duration was 52.3 months. During follow-up, 1 227 CVD death events occurred. The results indicated a significant overall association between non-HDL-C levels and the risk of CVD mortality, including coronary heart disease (CHD) and stroke. Cox models indicated that, using the ideal level of non-HDL-C as the reference, the hazard ratios (HRs) for risk of CVD death in the suitable level, borderline elevated level and elevated level groups were 1.24 (95% CI: 1.08-1.42), 1.57 (95% CI: 1.34-1.85) and 2.31 (95% CI: 1.87-2.86), respectively. The corresponding HRs for CHD death were 1.39 (95% CI: 1.10-1.76), 1.69 (95% CI: 1.28-2.12) and 2.53 (95% CI: 1.76-3.64), respectively. Subgroup analysis revealed significant interaction effects between non-HDL-C and sex, smoking, alcohol consumption, and diabetes (all P interaction<0.05). Sensitivity analyses confirmed that results were consistent with the primary findings regarding the association between non-HDL-C and CVD mortality risk. In conclusion, increasing non-HDL-C levels are associated with higher risks of death from cardiovascular diseases, including stroke and CHD. The risk of CVD death associated with elevated non-HDL-C is greater among males, individuals with a history of diabetes, smokers or drinkers. In the future, attention should be paid to the monitoring of non-HDL-C in community health management, and the intensive and personalized management of blood lipids in high-risk population should be strengthened.

The conventional identification and prediction for failures of medical equipment mainly depend on experience and knowledge of manager for equipment,which are not able to be quantified and have lower efficiency. Therefore,it is obvious that the prediction for the failure of medical equipment is not accurate. With the technical development of computer and machine learning,the conventional identification and prediction that depend on experiences can deal with characteristics of failures through machine learning method to improve efficiency,which are hopeful in filling the gap of discipline about the identification and prediction for failures of medical equipment. This article summarized the application situation of machine learning in identifying and predicting failures of the medical equipment and the similarly electric equipment at home and abroad. Based on the key technique of identification and prediction,this article proposed suggestion about corresponding design architecture. According to the characteristics of the failure of medical equipment,this article summarized a series of information about algorithms of various machine learning in scene and accurate rate of identification and prediction,so as to provide references for relevant research of this field.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Objective:To compare the diagnostic efficacy of 18F-fibroblast activation protein inhibitor (FAPI) PET/MR and contrast-enhanced CT in detecting metachronous ovarian metastasis after gastric signet-ring cell carcinoma (GSRCC) surgery, and to evaluate its impact on clinical decision-making. Methods:This study employed a diagnostic test design. A retrospective analysis was conducted on 26 female patients with suspected metachronous ovarian metastasis following GSRCC resection between January 2023 and June 2025 in Renji Hospital, Shanghai Jiao Tong University School of Medicine. All patients underwent both 18F-FAPI PET/MR and contrast-enhanced CT within 2 weeks. Using histopathology or clinical imaging follow-up (≥6 months) as the reference standard, the diagnostic performance of both modalities was compared (McNemar test, Fisher exact test and Delong test), and changes in clinical management were analyzed. Results:Metachronous ovarian metastasis was confirmed in 12 patients (22 lesions). 18F-FAPI PET/MR showed significantly higher sensitivity (90.9%(20/22) vs 72.7%(16/22); χ2=4.10, P=0.043), specificity (100%(30/30) vs 50.0%(15/30); χ2=13.01, P<0.001), and accuracy (96.2%(50/52) vs 59.6%(31/52); χ2=15.43, P<0.001), compared to contrast-enhanced CT, with a significantly higher AUC (0.964 vs 0.815; Z=2.85, P=0.015). It also demonstrated superior detection of extraovarian metastases, including anastomotic recurrence, peritoneal spread, and lymph node involvement ( P values: 0.004-0.031), and identified 5 additional rare-site metastases in 3 patients that were missed by contrast-enhanced CT. Based on 18F-FAPI PET/MR findings, clinical management was adjusted in 6 patients with metastasis. Conclusion:18F-FAPI PET/MR outperforms contrast-enhanced CT in diagnosing metachronous ovarian metastasis and performing whole-body restaging in post-surgical GSRCC patients, therapy provides critical evidence for informing decision-making.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

Objective To investigate the clinical treatment effect and safety of 3D microscopy technology for adjuvant neuraxial tumor resection on neuraxial tumor diseases.Methods A total of 37 patients with neuraxial tumors treated from January 2019 to July 2023,15 patients treated with 3D microscope tumor resection(3D group),and 22 patients treated with general microscope tumor resection(ordinary group)were analyzed.The perioperative indexes,clinical efficacy indexes and safety indexes were compared between the two groups.Results The operation time was(223.78±46.46)min in the ordinary group and(182.93±39.28)min in the 3D group,which was significantly lower than that in the ordinary group(P<0.05),and there was no significant difference in other perioperative indicators between the two groups(P>0.05).All patients had significantly reduced their postoperative pain symptoms and recovered their neurological function to a certain extent.There were statistically significant differences between the two groups(P<0.01),but there was no statistical difference between the two groups(P>0.05),and the McCormick spinal cord function rating was grade I.at one year after surgery.Conclusion The use of 3D microscopy and general microscopy for neuraxial tumor surgery has good clinical efficacy.However,the operation time can be significantly shortened under 3D microscopy,thereby reducing the risk of surgical complications and has better clinical safety.

Objective:To develop an artificial intelligence (AI)-based automatic scoring model for magnetic resonance imaging-detected extramural vascular invasion (AI-mrEMVI) and evaluate its performance and prognostic value in patients with rectal cancer.Methods:In this multicenter retrospective cohort study, a total of 2 501 rectal cancer patients from seven centers between November 2012 and December 2020 were included and divided into completely independent training ( n=1 830) and validation ( n=671) cohorts. A nnUNet-based AI-mrEMVI scoring model was constructed. Manual mrEMVI scores assigned by two radiologists served as the reference standard for accessing the accuracy of the AI-mrEMVI scoring. Kaplan-Meier survival analysis and Cox regression were used to evaluate the prognostic stratification ability of the AI-mrEMVI scores. The concordance index (C-index) was calculated to evaluate prognostic performance. Results:In the validation cohort, the manual mrEMVI scores were 0-2 in 425 patients (63.3%), 3 in 89 (13.4%), and 4 in 157 (23.4%). The AI-mrEMVI model identified 0-2 in 375 patients (55.9%), 3 in 95 (14.2%), and 4 in 201 (30.0%), with an overall accuracy of 81.1% (544/671, 95% CI 77.9%-84.0%). The 3-year disease-free survival (DFS) rates for patients with AI-mrEMVI scores of 0-2, 3, and 4 were 85.2%, 70.0%, and 58.2%, respectively, and the 5-year overall survival (OS) rates were 87.2%, 81.6%, and 62.6%, respectively (DFS: χ2=48.74, P<0.001; OS: χ2=30.04, P<0.001). Multivariable Cox regression showed that for DFS, AI-mrEMVI scores of 3 and 4 were associated with hazard ratios ( HR) of 1.75 (95% CI 1.11-2.77, P=0.016) and 2.65 (95% CI 1.86-3.78, P<0.001), respectively. For OS, an AI-mrEMVI score of 4 was associated with an HR of 2.56 (95% CI 1.62-4.03, P<0.001). The C-index values of the AI-mrEMVI scoring model for predicting DFS and OS were 0.647 (95% CI 0.608-0.686) and 0.650 (95% CI 0.598-0.702), respectively. Conclusion:The proposed AI-mrEMVI automatic scoring model demonstrated high diagnostic accuracy and performed favorably in predicting DFS and OS prognostic risk in patients with rectal cancer.