Objective On the basis of systematically summarizing and organizing the existing standards of mineral drugs in traditional Chinese medicine,this study aims to construct the top-level framework of the mineral drug standard system and promote the standardization process of the mineral drug industry.Methods A comprehensive search and analysis of the standards for 87 kinds of mineral drugs were conducted on authoritative platforms such as the National Standard Information Public Service Platform,China Standard Service Network,and Traditional Chinese Medicine Standard and Guideline Information Service.By delving into the theoretical foundation and scientific methods,combined with practical research,this study uses analogy reference,systematic decomposition,and process analysis to design the top-level framework of the mineral drug standard system.Results Through comprehensive analysis and scientific design,this study summarizes the construction process and methods of the mineral drug standard system,clarifies the hierarchical structure and classification principles of the system,proposes the compilation path,and forms a standard system covering the entire industry chain of mineral drugs,including raw minerals,product categories,and circulation categories.Conclusion This study constructs a full industry chain process framework for the standard system of mineral drugs,providing a clear perspective for the research of mineral drugs.It can more comprehensively display the current state of development of mineral drug standards in our country,laying a foundation for the research on the standardization of mineral drugs.

Objective On the basis of systematically summarizing and organizing the existing standards of mineral drugs in traditional Chinese medicine,this study aims to construct the top-level framework of the mineral drug standard system and promote the standardization process of the mineral drug industry.Methods A comprehensive search and analysis of the standards for 87 kinds of mineral drugs were conducted on authoritative platforms such as the National Standard Information Public Service Platform,China Standard Service Network,and Traditional Chinese Medicine Standard and Guideline Information Service.By delving into the theoretical foundation and scientific methods,combined with practical research,this study uses analogy reference,systematic decomposition,and process analysis to design the top-level framework of the mineral drug standard system.Results Through comprehensive analysis and scientific design,this study summarizes the construction process and methods of the mineral drug standard system,clarifies the hierarchical structure and classification principles of the system,proposes the compilation path,and forms a standard system covering the entire industry chain of mineral drugs,including raw minerals,product categories,and circulation categories.Conclusion This study constructs a full industry chain process framework for the standard system of mineral drugs,providing a clear perspective for the research of mineral drugs.It can more comprehensively display the current state of development of mineral drug standards in our country,laying a foundation for the research on the standardization of mineral drugs.

Objective In this study,we investigated the correlation between the scores for different Liebowitz Social Anxiety Scale(LSAS)subscale models and the metabolic activity in specific regions of the brain using 18F-fluorodeoxyglucose(FDG)positron emission tomography/computed tomography(PET/CT)(18F-FDG PET),thereby improving the understanding of the neurobiological characteristics of social anxiety.Methods A total of 39 cognitively normal participants(29 men and 10 women,aged 30-63 years)were enrolled.All participants underwent LSAS assessment and brain 18F-FDG PET scanning.Correlations between metabolic activities in various brain regions and scores from the different LSAS subscales were analyzed accordingly.Results LSAS subscale scores were significantly correlated with metabolic activity in specific brain regions.In the Safren model,the score for the observation by others subscale was positively correlated with the left fusiform gyrus(P<0.001,false discovery rate[FDR]-corrected)and the left caudate tail(P<0.001,FDR-corrected),suggesting a close association between mood states related to observation by others and the metabolic activity in these regions.In the Baker model,the score for the eating and drinking subscale was negatively correlated with the right precuneus(P<0.001,FDR-corrected),while the score for the assertiveness subscale was positively correlated with the left caudate nucleus(P<0.001,FDR-corrected).These findings revealed the complex associative patterns between various mood and behavioral dimensions and metabolic activities in specific brain regions.Conclusion Social anxiety symptoms are closely associated with metabolic changes in specific brain regions,including the left insula,left caudate tail,and right precuneus.Moreover,different social situations activate distinct brain regions.Compared with individuals with social anxiety disorder,normal individuals exhibit involvement of fewer brain regions when experiencing social anxiety.These findings provide new experimental evidence for understanding the neural mechanisms underlying social anxiety.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To investigate the clinical characteristics and treatment strategies of patients with connective tissue disease (CTD) related lymphatic duct obstruction.Methods:The clinical data, laboratory tests results, imaging data, and treatment of CTD patients associated with lymphatic vessel obstruction were retrospectively collected from January 2008 to December 2020 at Beijing Shijitan Hospital. Lymphatic duct obstruction was confirmed by thoracic duct ultrasound or thoracic duct MRI or lymphoscintigraphy or direct lymphangiography. SLE and RA patients were matched with gender and age in a 1∶2 ratio, and SLE and RA patients without lymphatic reflux disorder admitted at the same time were randomly selected as the control group. When comparing the data between the two groups, t-test or rank sum test was used to test continuous variables, and chi-square test or Fisher′s exact probability method was used to test categorical variables. Results:Forty-four patients with CTD complicated with thoracic duct obstruction were included, with a male-to-female ratio of 7∶37, including 14 cases of rheumatoid arthritis (RA), 21 cases of systemic lupus erythematosus (SLE), 8 cases of primary Sjogren's syndrome (pSS), and 1 case of systemic sclerosis (SSc). The onset age of CTD ranged from 14 to 68 years, the mean age was (37±15) years and the median duration of CTD was 66 (range 1~480) months. The median age at the onset of lymphatic duct obstruction such as limb edema or thoracoabdominal effusion was (42±17) years, and the median duration of lymphatic duct obstruction symptoms was 12 (range 3~480) months. 59%(26/44) of patients were diagnosed with CTD followed by the diagnosis of thoracic duct obstruction, and 41%(18/44) of patients had lymphatic duct obstruction symptoms as the initial presentation of CTD. Thoracic duct-related imaging was performed in 44 patients and showed thoracic duct obstruction (64%, 28/44), thoracic duct malformation or variation (36%, 16/44), limb lymphatic reflux disorder (34%, 15/44), and small bowel lymphatic duct dilatation or intestinal protein loss (18%, 8/44), respectively. Compared with the control group, among these patients, patients with RA complicated with lymphatic involvement had a younger onset age [(34±14)years old vs. (44±13)years old, t=-2.15, P=0.037)] and longer RA course [(17±11)months vs. (7±7)months, t=3.38, P=0.002] and presented with limb swelling (12/14). While compared with the control group, SLE patients complicated with lymphatic duct obstruction presented with celiac multi-plasmatic effusion (20/21), more patients presented with multiple serous cavity effusion [95%(20/21) vs. 62%(25/42), χ2=7.63, P=0.006], but the prevalence of lupus nephritis [(60%(12/21) vs. 86%(36/42), χ2=4.87, P=0.027] and lupus encephalopathy [0%(0/21) vs. 16.7%(17/42), χ2=6.11, P=0.013] was lower. 27% (12/44) of patients improved with aggressive glucocorticoids combined with immunosuppressive therapy, 54%(24/44) of patients were performed with lymphatic duct reconstruction surgery on top of medical treatment, 5 patients were lost of follow-up, and 2 patients deceased. Conclusion:CTD patients may develop lymphatic duct obstruction during the disease course, while lymphatic duct obstruction can also be the initial presentation of CTD. Rheumatologists and surgeons should be alert to this rare situation. Young women with refractory polyserositis or lymphedema should be examined for the possibility of combined CTD. Lymphatic duct obstruction may be associated with long-term chronic inflammation in CTD. Glucocorticoids combined with immunosuppressive agents and surgery can be used to treat lymphatic duct obstruction in patients with CTD.

Objective:To investigate the predictive value of clinical factor model, deep learning model based on baseline plain CT images, and combination of both for predicting hematoma expansion in cerebral hemorrhage.Methods:The study was cross-sectional. Totally 471 cerebral hemorrhage patients who were firstly diagnosed in the Second Affiliated Hospital of Soochow University from January 2017 to December 2021 were collected retrospectively. These patients were randomly divided into a training dataset ( n=330) and a validation dataset ( n=141) at a ratio of 7∶3 by using the random function. All patients underwent two noncontrast CT examinations within 24 h and an increase in hematoma volume of >33% or an absolute increase in hematoma volume of >6 ml was considered hematoma enlargement. According to the presence or absence of hematoma enlargement, all patients were divided into hematoma enlargement group and hematoma non-enlargement group.Two-sample t test, Mann-Whitney U test or χ2 test were used for univariate analysis. The factors with statistically significant differences were included in multivariate logistic regression analysis, and independent influences related to hematoma enlargement were screened out to establish a clinical factor model. ITK-SNAP software was applied to manually label and segment the cerebral hemorrhage lesions on plain CT images to train and build a deep learning model based on ResNet50 architecture. A combination model for predicting hematoma expansion in cerebral hemorrhage was established by combining independent clinical influences with deep learning scores. The value of the clinical factor model, the deep learning model, and the combination model for predicting hematoma expansion in cerebral hemorrhage was evaluated using receiver operating characteristic (ROC) curves and decision curves in the training and validation datasets. Results:Among 471 cerebral hemorrhage patients, 136 cases were in the hematoma enlargement group and 335 cases were in the hematoma non-enlargement group. Regression analyses showed that male ( OR=1.790, 95% CI 1.136-2.819, P=0.012), time of occurrence ( OR=0.812, 95% CI 0.702-0.939, P=0.005), history of oral anticoagulants ( OR=2.157, 95% CI 1.100-4.229, P=0.025), admission Glasgow Coma Scale score ( OR=0.866, 95% CI 0.807-0.929, P<0.001) and red blood cell distribution width ( OR=1.045, 95% CI 1.010-1.081, P=0.011) were the independent factors for predicting hematoma expansion in cerebral hemorrhage. ROC curve analysis showed that in the training dataset, the area under the curve (AUC) of clinical factor model, deep learning model and combination model were 0.688 (95% CI 0.635-0.738), 0.695 (95% CI 0.642-0.744) and 0.747 (95% CI 0.697-0.793) respectively. The AUC of the combination model was better than that of the clinical model ( Z=0.54, P=0.011) and the deep learning model ( Z=2.44, P=0.015). In the validation dataset, the AUC of clinical factor model, deep learning model and combination model were 0.687 (95% CI 0.604-0.763), 0.683 (95% CI 0.599-0.759) and 0.736 (95% CI 0.655-0.806) respectively, with no statistical significance. Decision curves showed that the combination model had the highest net benefit rate and strong clinical practicability. Conclusions:Both the deep learning model and the clinical factor model established in this study have some predictive value for hematoma expansion in cerebral hemorrhage; the combination model established by the two together has the highest predictive value and can be applied to predict hematoma expansion.

Objective:To explore the value of the Nomogram model established by CT radiomics combined with clinical indicators for prediction of the severity of early acute pancreatitis (AP).Methods:From January 2016 to March 2023, the AP patients in the Second Affiliated Hospital of Soochow University were retrospectively collected. According to the revised Atlanta classification and definition of acute pancreatitis in 2012, all patients were divided into the severe group and the non-severe group. All patients were first diagnosed, and abdominal CT plain scan and enhanced scan were completed within 1 week. Patients were randomly (random number) divided into training and validation groups at a ratio of 7:3. The pancreatic parenchyma was delineated as the region of interest on each phase CT images, and the radiomics features were extracted by python software. LASSO regression and 10-fold cross-validation were used to reduce the dimension and select the optimal features to establish the radiomics signature. Multivariate Logistic regression was used to select the independent predictors of severe acute pancreatitis (SAP), and a clinical model was established. A Nomogram model was established by combining CT radiomics signature and clinical independent predictors. Receiver operating characteristic (ROC) curve and decision curve analysis (DCA) were used to evaluate the predictive efficacy of each model.Results:Total of 205 AP patients were included (59 cases in severe group, 146 cases in non-severe group). 3, 5, 5 and 5 optimal radiomics features were selected from the plain CT scan, arterial phase, venous phase and delayed phase images of all patients, and the radiomics models were established. Among them, the arterial phase radiomics model had relatively better performance in predicting SAP, with an area under curve (AUC) of 0.937 in the training group and 0.913 in the validation group. Multivariate Logistic regression showed that C-reactive protein (CRP) and lactate dehydrogenase (LDH) were independent predictors of SAP, and they were used to establish a clinical model. The AUC in the training and validation groups were 0.879 and 0.889, respectively. The Nomogram model based on arterial phase CT radiomics signature, CRP and LDH was established, and the AUC was 0.956 and 0.947 in the training group and validation group, respectively. DCA showed that the net benefit of Nomogram model was higher than that of clinical model or radiomics model alone.Conclusions:The Nomogram model established by CT radiomics combined with clinical indicators has high application value for early prediction of the severity of AP, which is conducive to the formulation of clinical treatment plans and prognosis evaluation.

Objective:To investigate the value of dual-detector spectral CTA in distinguishing infarct core from penumbra in patients with acute ischemic stroke(AIS), and to further explore the risk factors associated with infarct core and their predictive value.Methods:The imaging and clinical data of 163 patients with AIS who met the inclusion criteria admitted to the Second Affiliated Hospital of Soochow University from March 2022 to May 2023 were retrospectively analyzed. Patients from March 2022 to December 2022 were used as the training group, and patients from January 2023 to May 2023 were used as the validation group for internal validation. The head and neck spectral CTA and brain CT perfusion imaging with dual-layer detector spectral CT were all carried out on all patients. Using CTP as reference, the patients were divided into infarct core group and non-infarct core group according to whether an infarct core occurred in the hypoperfusion regions of brain tissue. Multivariate logistic regression analysis was used to screen predictors related to the infarct core. The receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy.Results:A total of 163 patients were included in the study, including 112 in the training group and 51 in the validation group. There were significant differences in iodine density, effective atomic number, hypertension, triglyceride and neutrophils between the two groups ( P< 0.05). The cutoff values for iodine density values and effective atomic number values were 0.215 mg/mL and 7.405, respectively. Multivariate logistic regression analysis showed that iodine density and hypertension were independent risk factors for infarct core in AIS, and triglyceride was an independent protective factor. The area under the ROC curve (AUC) of iodine density value was the largest (0.859), with a sensitivity of 70.27%, and a specificity of 90.67%, which had a good predictive value. The ROC curve analysis results for the validation group were consistent with the training group. Conclusions:Spectral CT parameters iodine density values and effective atomic number values have the potential to distinguish the infarct core area from the penumbra area in patients with AIS. Iodine density and hypertension were independent risk factors of infarct core in AIS, triglyceride was an independent protective factor, and iodine density values obtained by dual-layer spectral detector CT had a high predictive value.

Objective:To investigate the effect of five-element music therapy combined with meridian-based acupoint massage timed according to qi circulationon on negative emotions and sleep quality in older adults with chronic heart failure. Methods:A total of 112 older adult patients with chronic heart failure who received treatment at The Affiliated Hospital of Hangzhou Normal University between January 2022 and June 2023 were included in this study. They were randomly divided into a control group ( n = 56) and a study group ( n = 56) using the random number table method. Based on conventional treatment, the control group received five-element music therapy, while the intervention group underwent a combination of five-element music therapy and meridian-based acupoint massage timed according to qi circulation. Before and after the intervention, a comparison was made between the two groups in terms of the scores of the Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Pittsburgh Sleep Quality Index (PSQI), and various dimensions of the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Additionally, the sleep outcome and patient satisfaction were also compared between the two groups. Results:After intervention, the scores of the HAMA and HAMD in the study group were (11.29 ± 2.48) points and (12.48 ± 3.36) points, respectively. In contrast, the control group had scores of (15.93 ± 3.35) points and (16.50 ± 4.32) points, respectively. After intervention, the scores of the HAMA and HAMD scales in both the study and control groups demonstrated a significant reduction in comparison with their respective pre-intervention scores [study group: (20.13 ± 5.18) points, (23.95 ± 8.97) points, control group: (19.36 ± 5.45) points, (23.79 ± 7.61) points, t = 15.35, 10.24, 5.65, 8.93, all P < 0.001). After intervention, the scores of the HAMA and HAMD scales in the study group were significantly lower than those in the control group ( t = -8.34, -5.49, both P < 0.001). After intervention, the scores of the PSQI in the study and control groups were (7.05 ± 0.96) points and (9.91 ± 1.28) points, respectively. After intervention, the scores of PSQI in both the study and control groups demonstrated a significant reduction compared with their respective pre-intervention scores [study group: (12.98 ± 2.21) points, control group: (12.50 ± 2.48) points, t = 24.68, 9.79, both P < 0.05]. After intervention, the score of the PSQI in the study group was significantly lower than that in the control group ( t = 13.34, P < 0.05). Based on the scores across various dimensions of the MLHFQ, it was observed that after intervention, the scores of emotional, physical, and other domains in both the study and control groups [study group: (9.36 ± 2.29) points, (16.95 ± 3.80) points, (18.50 ± 2.33) points; control group: (12.93 ± 2.00) points, (19.98 ± 3.98) points, (20.04 ± 2.24) points] decreased significantly compared with their pre-intervention scores [study group: (15.57 ± 1.55) points, (26.23 ± 4.63) points, (21.18 ± 2.50) points, control group: (16.09 ± 1.87) points, (25.32 ± 4.40) points, (21.57 ± 2.69) points, t = 21.66, 18.55, 8.44, 11.29, 11.73, 4.61, all P < 0.001]. After intervention, the scores of emotional, physical, and other domains in the study group were significantly lower than those in the control group ( t = -8.79, -4.13, -3.56, all P < 0.05). Patient satisfaction in the study group was superior to that that in the control group [98.21% (55/56) vs. 87.50% (49/56), χ2 = -3.09, P < 0.05]. Total effective rate of intervention on sleep in the study group was significantly higher than that in the control group [92.86% (52/56) vs. 78.57% (44/56), χ2 = -2.09, P < 0.05]. Conclusion:Five-element music therapy combined with meridian-based acupoint massage timed according to qi circulationon in the treatment of chronic heart failure in older adults can effectively alleviate negative emotions, improve the quality of life and sleep, and increase patient satisfaction with nursing care.