Esophageal cancer is a prevalent malignant tumor of the digestive tract in China, and radical surgery remains the cornerstone of its comprehensive treatment. However, multifactorial challenges such as postoperative gastrointestinal tract reconstruction, traumatic stress, and tumor-related metabolic disturbances render esophageal cancer patients highly susceptible to malnutrition. Perioperative nutritional support therapy plays a crucial role in enhancing surgical safety, improving clinical outcomes, and elevating patients' quality of life by regulating metabolic homeostasis, preserving organ function, and optimizing the immune microenvironment. This article reviews the mechanisms underlying malnutrition in esophageal cancer, methods for nutritional status assessment, and precision intervention pathways based on multi-omics evaluations. The aim is to strengthen clinicians' awareness of standardized perioperative nutritional management for esophageal cancer patients and promote its clinical implementation, thereby facilitating postoperative recovery and improving long-term quality of life.

Quality marker (Q-Marker) is an innovative concept and model for quality control of Traditional Chinese medicines (TCMs), which will navigate the new direction of quality development of TCMs. Yet, how to characterize the overall quality attributes of TCMs and their biological effects is still debating. In view of this key scientific issue, this paper proposes a research method based on mass spectrometry imaging (MSI) technology for the discovery and confirmation of TCMs Q-Marker. MSI is powerful in investigating the spatial distribution of molecules in a variety of samples, and visualizing the information obtained from MS. On this basis, combine with the five principles of TCMs Q-Marker validation, i.e., specificity, transmission and traceability, testability, prescription compatibility, and validity, were applied to confirm the finalized Q-Marker. It will lead the new direction of quality development of TCMs.

Objective:To assess the levels and abnormal rates of trace elements and vitamins among older patients in Beijing Hospital, and to analyze the correlations between these measured indicators.Methods:This study selected 49 older individuals who underwent physical examinations at Beijing Hospital between May 2021 and March 2024.The participants were divided into two age groups: 60-79 years old(23 cases)and 80-100 years old(26 cases). Levels' differences of trace elements and vitamins between the two age groups were analyzed.Pearson correlation analysis was used to investigate the correlations among the tested indicators, and multivariate analysis was conducted using a generalized linear regression model.Results:Among the 49 older individuals, the overall abnormal rate for trace element test results was 8.16%(4 cases), with 2 cases of iron(Fe)deficiency(4.08%)and 2 cases of calcium(Ca)deficiency(4.08%). The overall abnormal rate for vitamin test results was 24.49%(12 cases), which included 5 cases of vitamin B2 deficiency(10.20%), 1 case of vitamin C deficiency(2.04%), and 6 cases of vitamin D deficiency(12.24%). Statistically significant differences were observed between the two age groups in zinc(Zn)and vitamin C levels( t=2.84, 2.83; P=0.007, 0.007). Pearson correlation analysis revealed correlations among 19 pairs of indicators.The top five correlations were between plumbum(Pb)and cadmium(Cd)( r=0.769, P<0.001), Fe and manganese(Mn)( r=0.685, P<0.001), Ca and magnesium(Mg)( r=0.677, P<0.001), vitamin B12 and vitamin C( r=0.455, P=0.001), and vitamin B9 and vitamin D( r=0.422, P=0.003), respectively.The results of the multivariate analysis indicated that, after adjusting for the effects of age group and gender, statistical differences in correlations remained among the remaining trace elements and vitamins, except for those between vitamin B1 and vitamin B12, vitamin B1 and vitamin C, and vitamin A and vitamin D (all P<0.05). Conclusions:The deficiency rates of trace elements and vitamins remain notably high among older patients in our hospital, underscoring the necessity for enhanced nutritional supplementation and regular monitoring of trace element and vitamin levels within this population.Furthermore, a correlation exists between trace elements and vitamins, which offers valuable insights for the diagnosis and treatment of related diseases.

Debates persist regarding the efficacy and safety of azvudine, particularly its real-world outcomes. This study involved patients aged ≥60 years who were admitted to 25 hospitals in mainland China with confirmed SARS-CoV-2 infection between December 1, 2022, and February 28, 2023. Efficacy outcomes were all-cause mortality during hospitalization, the proportion of patients discharged with recovery, time to nucleic acid-negative conversion (T _NANC), time to symptom improvement (T _SI), and time of hospital stay (T _HS). Safety was also assessed. Among the 5884 participants identified, 1999 received azvudine, and 1999 matched controls were included after exclusion and propensity score matching. Azvudine recipients exhibited lower all-cause mortality compared with controls in the overall population (13.3% vs. 17.1%, RR, 0.78; 95% CI, 0.67-0.90; P = 0.001) and in the severe subgroup (25.7% vs. 33.7%; RR, 0.76; 95% CI, 0.66-0.88; P < 0.001). A higher proportion of patients discharged with recovery, and a shorter T _NANC were associated with azvudine recipients, especially in the severe subgroup. The incidence of adverse events in azvudine recipients was comparable to that in the control group (2.3% vs. 1.7%, P = 0.170). In conclusion, azvudine showed efficacy and safety in older patients hospitalized with COVID-19 during the SARS-CoV-2 omicron wave in China.

Objective:To develop and validate a diagnostic model for pancreatic benign and malignant tumors using radiomics technology.Methods:A retrospective analysis was conducted on the clinical data of 113 patients with pancreatic tumors who underwent surgical treatment at the Hepatobiliary and Pancreatic Surgery Departments of the Second Hospital and the First Hospital of Hebei Medical University from January 2020 to December 2022. There were 59 male and 54 female patients, aged (55.3±16.8) years. Preoperative enhanced thin-slice computed tomography (CT) data and postoperative pathological diagnosis results were collected. Data from 74 patients at the Second Hospital were selected, and according to the random classification principle of 7∶3, the data of 52 patients were determined as the training set for model construction, while the remaining 22 patients' data served as the internal validation set. Data from 39 patients at the First Hospital of Hebei Medical University were used as the external validation set to assess the generali-zability of the established model. The region of interest in the lesions on CT images was analyzed using three-dimensional radiomics feature extraction, and the top 5 features were selected using feature selection methods. Radiomics models were established for the selected features using 17 classifiers. The performance of the models was evaluated using the area under curve (AUC) of the receiver operating characteristic (ROC).Results:Two hundred and fifty-five models were established with 15 feature selection methods and 17 classifiers. 7 models with the AUC greater than 0.7 were selected, among which the best one was LASSO-K neighbors classifier model, constructed using the LASSO feature selection method and the k-nearest neighbors algorithm, achieving AUC values of 0.933 (95% CI: 0.859-0.984) in the training set, 0.973 (95% CI: 0.896-1.000) in the validation set, and 0.774 (95% CI: 0.624-0.908) in the external validation set, with satisfactoryclassification and generalization ability. Conclusion:The radiomics-based diagnostic model for pancreatic benign and malignant tumors can effectively distinguish the benignancy and malignancy of tumors. The LASSO-K neighbors classifier model demonstrated high accuracy and reliability in this study.

Objective:To assess the levels and abnormal rates of trace elements and vitamins among older patients in Beijing Hospital, and to analyze the correlations between these measured indicators.Methods:This study selected 49 older individuals who underwent physical examinations at Beijing Hospital between May 2021 and March 2024.The participants were divided into two age groups: 60-79 years old(23 cases)and 80-100 years old(26 cases). Levels' differences of trace elements and vitamins between the two age groups were analyzed.Pearson correlation analysis was used to investigate the correlations among the tested indicators, and multivariate analysis was conducted using a generalized linear regression model.Results:Among the 49 older individuals, the overall abnormal rate for trace element test results was 8.16%(4 cases), with 2 cases of iron(Fe)deficiency(4.08%)and 2 cases of calcium(Ca)deficiency(4.08%). The overall abnormal rate for vitamin test results was 24.49%(12 cases), which included 5 cases of vitamin B2 deficiency(10.20%), 1 case of vitamin C deficiency(2.04%), and 6 cases of vitamin D deficiency(12.24%). Statistically significant differences were observed between the two age groups in zinc(Zn)and vitamin C levels( t=2.84, 2.83; P=0.007, 0.007). Pearson correlation analysis revealed correlations among 19 pairs of indicators.The top five correlations were between plumbum(Pb)and cadmium(Cd)( r=0.769, P<0.001), Fe and manganese(Mn)( r=0.685, P<0.001), Ca and magnesium(Mg)( r=0.677, P<0.001), vitamin B12 and vitamin C( r=0.455, P=0.001), and vitamin B9 and vitamin D( r=0.422, P=0.003), respectively.The results of the multivariate analysis indicated that, after adjusting for the effects of age group and gender, statistical differences in correlations remained among the remaining trace elements and vitamins, except for those between vitamin B1 and vitamin B12, vitamin B1 and vitamin C, and vitamin A and vitamin D (all P<0.05). Conclusions:The deficiency rates of trace elements and vitamins remain notably high among older patients in our hospital, underscoring the necessity for enhanced nutritional supplementation and regular monitoring of trace element and vitamin levels within this population.Furthermore, a correlation exists between trace elements and vitamins, which offers valuable insights for the diagnosis and treatment of related diseases.

Objective:To develop and validate a diagnostic model for pancreatic benign and malignant tumors using radiomics technology.Methods:A retrospective analysis was conducted on the clinical data of 113 patients with pancreatic tumors who underwent surgical treatment at the Hepatobiliary and Pancreatic Surgery Departments of the Second Hospital and the First Hospital of Hebei Medical University from January 2020 to December 2022. There were 59 male and 54 female patients, aged (55.3±16.8) years. Preoperative enhanced thin-slice computed tomography (CT) data and postoperative pathological diagnosis results were collected. Data from 74 patients at the Second Hospital were selected, and according to the random classification principle of 7∶3, the data of 52 patients were determined as the training set for model construction, while the remaining 22 patients' data served as the internal validation set. Data from 39 patients at the First Hospital of Hebei Medical University were used as the external validation set to assess the generali-zability of the established model. The region of interest in the lesions on CT images was analyzed using three-dimensional radiomics feature extraction, and the top 5 features were selected using feature selection methods. Radiomics models were established for the selected features using 17 classifiers. The performance of the models was evaluated using the area under curve (AUC) of the receiver operating characteristic (ROC).Results:Two hundred and fifty-five models were established with 15 feature selection methods and 17 classifiers. 7 models with the AUC greater than 0.7 were selected, among which the best one was LASSO-K neighbors classifier model, constructed using the LASSO feature selection method and the k-nearest neighbors algorithm, achieving AUC values of 0.933 (95% CI: 0.859-0.984) in the training set, 0.973 (95% CI: 0.896-1.000) in the validation set, and 0.774 (95% CI: 0.624-0.908) in the external validation set, with satisfactoryclassification and generalization ability. Conclusion:The radiomics-based diagnostic model for pancreatic benign and malignant tumors can effectively distinguish the benignancy and malignancy of tumors. The LASSO-K neighbors classifier model demonstrated high accuracy and reliability in this study.

There are limited reports available regarding the treatment of amputated noses. This article presented a case of an incompletely amputated nose in a 47-year-old male who was admitted to Dalian University Affiliated Xinhua Hospital in July 2023. He was characterized by an amputated right nasal tip and alar region, with an avulsion area of approximately 4 cm×4 cm. The broad pedicle was connected to the nasal base, approximately 5 mm below the remaining nasal column, and only the nasal column retained a satisfactory arterial blood supply. During the operation, the amputated tissue was implanted in situ, and clindamycin was employed to prevent infection after the operation by intravenous infusion. Bloodletting with flaps, wet application of heparin saline, and massage were employed and all the amputated tissue survived. The appearance of the nose was deemed acceptable. By reviewing relevant literature, the author discussed and summarized the methods of nasal blood supply and treatment for nasal amputated injuries, thereby providing a reference for the management of similar cases.

OBJECTIVE To analyze the traditional Chinese medicine （TCM） emergency management policy texts in China， reveal the characteristics， problems and improvement directions of Chinese medicine emergency management policies in China， and provide references and lessons for improving the level of Chinese medicine emergency management. METHODS Twenty-four TCM emergency management policy texts issued at the central level from 2016 to 2023 were coded and analyzed using Nvivo11 software to construct a three-dimensional analysis framework based on policy tools， stakeholders and policy strength. RESULTS In the policy tools dimension， the environmental type was the most （46.74%）， the supply type was the second （31.80%）， and the demand type was the least （21.46%）； in the stakeholder dimension， there were more healthcare institutions （40.63%） and government departments （31.25%）， and fewer healthcare workers （14.84%） and residents （13.28%）； in the policy strength dimension， the overall policy strength was poor， and the differences in effectiveness across policy instruments and stakeholders were more significant. The cross-cutting results showed that there was a certain degree of mismatch in policy instruments， stakeholders and policy strength. CONCLUSIONS The use of supply-oriented policy tools is slightly lacking， and the use of policy tools should be optimized in a coordinated manner； the distribution of stakeholders is relatively unbalanced， and synergies among stakeholders should be enhanced； the overall strength of policies is poor， and the top-level design of relevant policies should be improved.