Growth and development-related diseases result from the interplay of biological, psychological, and social factors. The collaboration between healthcare, sports, and education sectors integrates multidisciplinary resources and strengths to promote standardized diagnostic and therapeutic processes. This approach establishes a comprehensive closed-loop system encompassing early screening and referral, diagnosis and comprehensive evaluation, intervention and support plan formulation, as well as long-term management andoutcome assessment. It provides systematic scientific support for the healthy growth of children and adolescents, shifting disease intervention to the subclinical stage. Against the backdrop of societal informatization and intelligent development, this diagnostic and therapeutic model not only safeguards the holistic health of children and adolescents but also offers novel perspectives and feasible pathways for managing growth and development-related diseases. The implementation of this systematic diagnostic and therapeutic paradigm presents an innovative solution with Chinese characteristics for addressing such conditions, while injecting new vitality into the advancement of national health initiatives.

The growth and development of children is an important stage for health, and its monitoringand intervention are related to the long-term development of individuals. The construction of a standardized and multi-dimensional database of pediatric growth and development-related diseases is an important basis for realizing precise diagnosis and treatment and health management. Based on the needs of clinical practice, this study proposes to establish a specialized database of pediatric growth and development-related diseases that integrates facial phenotypes and clinical diagnosis and treatment information. This study elaborates on the construction process, including data sources, data collection content, and the operation and management of the database; and proposes key points for quality control, including the establishment of quality control nodes, database construction standards, and a full-process quality control framework. The above ensure the integrity, logic and effectiveness of the data, so that the database can provide an objective basis for the screening and diagnosis of pediatric growth and development-related diseases. On the basis of scientific data management and strict quality control, the database will help reveal the patterns of children's growth and development, and promote the level of children's health management.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

The relevant laws and regulations regarding the utilization of the deceased as medical research subjects are not yet fully developed in China nowadays. Taking the deceased as research subjects as a starting point， this paper discussed the definition of the deceased and the scope of their interest protection from multiple perspectives. It posited that the scope of interest protection for the deceased encompassed two components： spiritual personality interests and material personality interests represented by the remains. The spiritual personality interests of the deceased included identification information such as name， portrait， reputation， honor， privacy， and personal information， as well as medical and health information. The personal information of the deceased was not directly affected by the individual’s life and death status and remained relatively independent. In terms of ethical review， the research team approached from two perspectives： the remains and the personal information of the deceased. Based on the standard of whether the research subjects involve a human body， research with the remains of the deceased as the medical research subjects was classified as non-clinical research. According to the standard of whether a human body is clinically operated， research with the personal information of the deceased （including medical and health information） as the medical research subjects was recognized as clinical research without human research operation. This approach provided evidence for the application of existing laws and regulations in ethical review and record management. The ethical review of investigator-initiated clinical research conducted in medical and health institutions， as well as the regulatory conditions for exemption from ethical review， were examined. The forms， content， and acquisition of informed consent were summarized， and the risk-benefit characteristics of the research activity were evaluated， with a view to providing a basis for the smooth and compliant implementation of research activities involving the deceased as medical research subjects.

Objective lo investigate the predictive value of serum growth differentiation factor 11(GDF-11)and calprotectin A4(S100A4)for contrast-induced nephropathy(CIN)after coronary angiography(CAG).Methods A total of 528 patients who underwent CAG in the First Affiliated Hospital of Xi'an Jiao-tong University from December 2020 to November 2023 were selected as the research objects.According to whether the patients had CIN,they were divided into non-nephropathy group(472 cases)and nephropathy group(56 cases).Enzyme-linked immunosorbent assay was used to detect serum levels of GDF-11 and S100A4.Multivariate Logistic regression analysis was used to explore the influencing factors of CIN after CAG.Receiver operating characteristic(ROC)curve was used to evaluate the predictive value of serum GDF-11 and S100A4 for CIN after CAG.Results The serum levels of GDF-11 and S100A4 in nephropathy group were higher than those in non-nephropathy group(P＜0.05).The contrast agent dose and postoperative ser-um creatinine level in the nephropathy group were higher than those in the non-nephropathy group(P＜0.05).Multivariate Logistic regression analysis showed that contrast agent dose ≥131.84 mL(OR=2.158,95％CI 1.284-3.627),postoperative serum creatinine ≥ 87.57 μmol/L(OR=2.445,95％CI 1.533-3.898),GDF-1 1 ≥4 50.84 ng/mL(OR=2.445,95％CI 1.533-3.898)were the influencing factors of CIN af-ter CAG(P＜0.05).The area under the curve(95％CI)of serum GDF-11 and S100A4 for predicting CIN af-ter CAG was 0.861(95％CI 0.810-0.912)and 0.798(95％CI 0.747-0.849),respectively.The optimal cut-off values were 450.84 ng/mL and 86.98 μg/mL,the specificity were 65.89％and 57.62％,and the sensi-tivity were 94.74％and 94.74％,respectively.The area under the curve of the combination of the two was 0.906(95％CI 0.856-0.957),the specificity was 87.09％,and the sensitivity was 84.26％.Conclusion The elevated levels of serum GDF-11 and S100A4 are closely related to the occurrence of CIN in patients after CAG surgery,which can be used as biological indicators to evaluate the occurrence of CIN in patients after CAG surgery,and the combined prediction efficiency of GDF-11 and S100A4 is higher.

Aim To investigate the effect of safflower yellow on the learning and memory of scopolamine hydrobromide-induced memory impairment model mice.Methods 6-month-old C57BL/6J mice were randomly divided into the control group,model group,SY high-dose group,SY medium-dose group,SY low-dose group,and Huperzine-A group(12 mice in each group).SCOP was used to establish a memory impair-ment model,the spatial learning,memory and cognitive ability of mice with memory impairment were evaluated by behavioral experiments,the function of the choliner-gic nervous system in the cortex of mice was measured by ELISA kit,the pathological changes of brain tissue were observed by Nissl staining,and the expression of synaptic plasticity and BDNF/TrkB/CREB pathway re-lated proteins in the cortical and hippocampus of mice in each group was detected by Western blot.Results Compared with the model group,the learning and mem-ory ability of the mice in each administration group was improved.The neurons in the hippocampus and corti-cal were neatly arranged,the cell morphology tended to be complete,and the number of normal neurons in-creased.The function of the cortical cholinergic nerv-ous system was significantly improved,the expression of synaptic plasticity-related proteins in brain tissue was increased,and the BDNF/TrkB/CREB signaling path-way was activated.Conclusions SY can significantly improve the learning and memory ability of mice with SCOP-induced memory impairment,and its mechanism may play a neuroprotective role by improving choliner-gic nervous system function,activating BDNF/TrkB/CREB signaling pathway,regulating synaptic plasticity,and reduces neuronal damage.

Objective To analyze the effects of different anastomotic methods on flap survival rate and wound healing factors of patients with transplantation of superficial branch perforator flap of superficial circumflex iliac artery(SCIA).Methods A total of 100 patients with skin defects of limbs admitted to our hospital from January 2019 to August 2022 were selected and divided into end-to-end anastomosis group(56 cases)and end-to-side anastomosis group(44 cases)according to different anastomosis methods.In the end-to-end anastomosis group,the end of the flap artery was anastomosed with the end of the aortic branch in the affected area.In the end-to-side anastomosis group,the end of recipient flap artery was anastomosed with the side of aorta.Patients in both groups were followed up for 6 to 12 months,the arterial caliber,lateral caliber and anastomosis time were compared between the two groups.The survival of the flap,the occurrence of venous crisis,the shape and function of the flap and donor area were observed.Results There was no statistically significant difference in the arterial caliber or lateral caliber of patients between the two groups(P>0.05).The anastomosis time of patients in the end-to-end anastomosis group was significantly shorter than that in the end-to-side anastomosis group(P<0.05).All 56 cases in the end-to-end anastomosis group survived.In the end-to-side anastomosis group,venous crisis occurred in 4 cases,with venous thrombosis,2 cases survived after re-anastomosis,2 cases were changed to abdominal pedicled flap when venous crisis occurred again,the appearance and function of the flap and donor area were satisfactory 6 months to 1 year after surgery(P<0.05).There was no significant difference in color,thickness,vascular distribution or flexibility of donor area of patients between the two groups(P>0.05).There was no significant difference in pain,appearance,vitality and recreation of recipient area of patients between the two groups(P>0.05).Conclusion The application of different arterial anastomosis methods in the transplantation of superficial branch perforator flap of SCIA for the treatment of skin and soft tissue defects of limbs is safe and reliable,the postoperative survival of the flap is good,the healing is not affected by the anastomosis method,and the appearance of the affected area is satisfactory,which is worthy of clinical promotion.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.