BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

Transfusion and Anemia Expertise Initiative-Control/Avoidance of Bleeding developed a strategy for platelet and plasma infusion management in critically ill children based on systematic reviews and consensus meetings of international multidisciplinary experts. One good practice statement and six expert consensus statements were proposed for plasma and platelet transfusions in critically ill children following severe trauma, traumatic brain injury, and/or intracranial hemorrhage. This article introduces the specific methods and basis for the formation of recommendations in this part of the guide.

Objective To measure the urethral meatus circumference in middle-aged and elderly males to undergo surgery for benign prostatic hyperplasia (BPH), and to collect data for developing endoscopic equipment suitable for the male urethra in China. Methods Clinical data were collected from patients (aged ≥50 years) who underwent transurethral resection of prostate in the First Affiliated Hospital of Xi'an Jiaotong University during Jan. and Dec. 2024. All patients had the urethral meatus circumference measured with a metal urethral probe before surgery, followed by the use of a F26.5 endoscopic sheath for surgery. The passage of urethral meatus using different types of metal urethral probes were observed. Results For the 183 patients, the types of endoscopic sheath smoothly passing through the urethral meatus were distributed as follows:42 cases (22.95%) with F26 or above, 66 cases (36.07%) with F25-26, 27 cases (14.75%) with F23-24, 26 cases (14.21%) with F21-22, 22 cases (12.02%) with F20 or below, and the smallest was F17 (1 case). Of all patients, 59.02% (108/183) were able to insert the F26.5 endoscopic sheath smoothly into the urethral meatus (≥F25), 28.96% (53/183) required force or urethral dilation before inserting (F21-F24), and 12.02% (22/183) needed to open the urethral meatus before inserting the endoscopic sheath (≤F20). Conclusion When the most common F26.5 endoscopic sheath is used, 40.98% of the patients have the possibility of urethral injury, which is significantly too big for male transurethral surgery. For patients undergoing transurethral BPH surgery, a thinner sheath should be used to reduce the possibility of urethral injury and secondary iatrogenic urethral stricture.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

BACKGROUND:The prevalence of osteoporosis is high in postmenopausal women,but muscle mass,grip strength,and how these factors affect osteoporosis are understudied,and the exact link between them has not been clarified.OBJECTIVE:To investigate the correlation between muscle mass,grip strength,appendicular skeletal muscle index and bone mineral density in postmenopausal women with osteoporosis and to assess the potential values of these indices in predicting and diagnosing postmenopausal osteoporosis.METHODS:Eighty-three postmenopausal women were collected from the outpatient clinic of the Third Affiliated Hospital of Guangzhou University of Chinese Medicine from February 2023 to January 2024.General data were collected.Bone mineral density was detected.T-value,muscle mass of each part,grip strength were recorded.The body mass index and appendicular skeletal muscle index were calculated.The patients were categorized into non-osteoporosis group(n=17)and postmenopausal osteoporosis group(n=66)according to T value and fracture history,and were statistically analyzed accordingly.RESULTS AND CONCLUSION:(1)The body mass,body mass index,bone mineral density of the overall lumbar spine,muscle mass and appendicular skeletal muscle index were higher in the non-osteoporosis group than the osteoporosis group(P＜0.05).(2)Muscle mass was positively correlated with bone mineral density of the overall lumbar spine and individual vertebrae(P＜0.05).(3)Multiple stepwise linear regression analysis showed that body mass and grip strength were linearly and positively correlated with muscle mass;body height and muscle mass were linearly and positively correlated with grip strength,and body mass was linearly and negatively correlated with grip strength.Body mass index was linearly and positively correlated with bone mineral density,and age was linearly and negatively correlated with bone mineral density.(4)Analysis by receiver operating characteristic curve showed that:muscle mass(the area under the curve,sensitivity,specificity and critical value of muscle mass were 0.744,76.50％,74.20％and 36.50 kg,respectively,with P=0.002)and appendicular skeletal muscle index(the area under the curve,sensitivity,specificity and critical value of appendicular skeletal muscle index were 0.739,82.40％,62.10％and 5.81 kg/m2,respectively,and P=0.002)had good predictive value for postmenopausal osteoporosis.To conclude,a reduction in muscle mass and appendicular skeletal muscle index can help to predict the risk of postmenopausal osteoporosis,and the possibility of osteoporosis should be taken into account in postmenopausal women when muscle mass is＜36.50 kg or appendicular skeletal muscle index is＜5.81 kg/m2,in order to prevent the occurrence of postmenopausal osteoporosis.

Sichuan Province is a hilly schistosomiasis-endemic province in China with the highest endemicity and largest coverage. During the period of more than 70 years of integrated control, there are five distinct phases of schistosomiasis control in Sichuan Province, including baseline investigation, Oncomelania hupensis snail control, chemotherapy for both humans and livestock, management of source of Schistosoma japonicum infections, and sustained control and intensified surveillance and early warning, and a package of key interventions are implemented, including environmental modification, snail control with chemical treatment, large-scale chemotherapy for humans and livestock, management of source of S. japonicum infections, intensified integrated control, establishment of an early warning and surveillance system. As a result, schistosomiasis has been eliminated across all 63 disease-endemic counties (cities, districts) in Sichuan Province by June 2025. Government-led multi-sectoral collaborations, science and technology-supported precision control strategies, and a sustainable control model tailored to the ecological and socio-economic conditions in endemic regions are essential to achieving the target of schistosomiasis elimination in Sichuan Province.

This paper systematically analyzes schistosomiasis transmission risks during the elimination stage and reviews the evolution of the schistosomiasis surveillance system in China from a One Health perspective, with a special emphasis on schistosomiasis surveillance and response practices during the elimination stage from a One Health perspective. These practices include precise screening of human schistosomiasis under low-endemicity conditions, systematic monitoring of schistosomiasis in domestic and wild animals, ecological management of Oncomelania snails, and information-coordinated responses. Nevertheless, the current surveillance and response system for schistosomiasis suffers from challenges of insufficient cross-sectoral coordination and complex external environments, which constrain precise schistosomiasis surveillance and response in China. Therefore, it is urgently necessary to integrate coordination mechanisms, empower the surveillance system with technological innovation, improve capacity building, and actively promote diverse social participation in the One Health framework, so as to consolidate current schistosomiasis control achievements and achieve the target for schistosomiasis elimination across China, which may provide a replicable technical model for global zoonoses control.

Objective:To construct classification models of traumatic brain injury (TBI) based on the injury data collected at the scene of the accidents and validate its efficacy.Methods:A retrospective cohort study was conducted to analyze the pre-hospital treatment data of 368 TBI patients admitted to the Second Affiliated Hospital of Army Military Medical University from January 2019 to December 2023, including 243 males and 125 females, aged 18-82 years [(48.1±20.8)years]. The patients′ Glasgow coma scale (GCS) scores were 3-15 points [11.0(3.0, 15.0)points] at emergency medical service arrival. The patients were randomly assigned to the training set ( n=257) and test set ( n=111) at a ratio of 7∶3. According to the admission diagnosis, the patients fell into the mild TBI group ( n=62), medium TBI group ( n=137), severe TBI group ( n=120), and extremely severe TBI group ( n=49). In the training set, 44 patients fell into mild TBI group, 98 into medium TBI group, 82 into severe TBI group and 33 into extremely severe TBI group, while in the test set, 18 patients fell into mild TBI group, 39 into medium TBI group, 38 into severe TBI group and 16 into extremely severe TBI group. The following 12 kinds of injury data, including MARCH [massive hemorrhage (M), airway obstruction (A), respiratory failure (R), circulatory failure (C) and hypothermia (H)], GCS, pre-hospital index (PHI), shock index (SI), reverse SI multiplied by GCS (rSIG), optic nerve sheath diameter (ONSD) measured by ultrasound, scalp and skull injuries were collected at the scene of the accidents. Three machine algorithm including random forest (RF), support vector machine (SVM) and logistic regression (LR) were used to construct scene data-based TBI classification models. The accuracy rate, precision rate, recall rate, F1 value and area under receiver operating characteristic (ROC) curve (AUC) of the 3 models were used to verify the efficiency of the models for TBI classification. Shapley additive explanations (SHAP) method was used to interpret the results of the optimal model. The 12 kinds of injury data in the models were sorted according to their contribution to the TBI classification and the injury data with greater contribution were selected. Results:In the test set, the accuracy rate of the RF, SVM and LR models was 0.93, 0.92 and 0.87, respectively; the precision rate was 0.93, 0.92 and 0.89, respectively; the recall rate was 0.93, 0.92 and 0.87, respectively; the F1 value was 0.93, 0.92 and 0.87, respectively. In the mild, medium, severe and extremely severe TBI groups in the test set, the AUC of the RF model was 0.96 (95% CI 0.92, 0.98), 0.98 (95% CI 0.94, 0.99), 0.97 (95% CI 0.95, 0.98), and 0.97 (95% CI 0.96, 0.98), respectively; the AUC of the SVM model was 0.90 (95% CI 0.88, 0.94), 0.95 (95% CI 0.92, 0.97), 0.96 (95% CI 0.94, 0.98), and 0.95 (95% CI 0.92, 0.99), respectively; the AUC of the LR model was 0.90 (95% CI 0.83, 0.96), 0.90 (95% CI 0.84, 0.95), 0.96 (95% CI 0.95, 0.98), and 0.95 (95% CI 0.94, 0.97), respectively. The RF model demonstrated optimal discriminative performance for TBI classification. As the SHAP′s interpretation of the RF model indicated, among the 12 kinds of injury data, those with greater contributions to the TBI classification were GCS, rSIG, SI, PHI, respiratory failure, ONSD, and circulatory failure in sequence. Conclusions:Of the scene data-based TBI classification models, the RF model achieves good predictive performance for TBI classification when compared with the SVM model and LR model. Besides, GCS, rSIG, SI, PHI, respiratory failure, ONSD and circulatory failure contribute significantly to the classification of TBI in the RF model, which may assist emergency medical personnel in field triage and management of TBI at accident scenes.

This article reported the diagnosis and management of a case of a child with Kabuki syndrome. Kabuki syndrome is characterized by distinct facial features, skeletal anomalies, abnormal skin texture, and intellectual disabilities, and is primarily caused by heterozygous mutations in the lysine methyltransferase 2D(KMT2D) gene. The onset in this patient was insidious, presenting with short stature and intellectual impairment. Genetic testing identified a pathogenic heterozygous variant in the KMT2D gene. This article focuses on analyzing the necessity and appropriateness of growth hormone therapy in children with Kabuki syndrome, and includes a review of relevant literature to improve clinicians′ understanding of this rare condition.