BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To explore the related risk factors contributing to re-fracture after hip surgery in elderly patients.Methods:This retrospective analysis was conducted on the clinical data of 2 415 elderly individuals who underwent surgical treatment for hip fractures and were discharged from Shanghai Sixth People's Hospital between January 2016 and December 2021.Patients were grouped into re-fracture and non-re-fracture cohorts based on whether a second fracture occurred within three years after surgery.Demographics, clinical data, and postoperative functional rehabilitation outcomes of the two groups were collected, and univariate and multivariate logistic regression analyses were applied to identify the independent risk factors for re-fractures after surgery.Results:A total of 2, 000 patients who completed follow-up were included in the final analysis, aged 60~91 years, with a mean age of (75.4±8.2) years.Among them, 855 were male(42.75%), and the postoperative re-fracture incidence was 28.25% (565/2 000). Univariate analysis indicated that advanced age, fracture type at first onset, lower Harris scores, insufficient rehabilitation training, osteoporosis, diabetes, cerebrovascular disorders, visual impairment, and syncope were all significantly associated with re-fracture (all P<0.05), while gender differences were not statistically significant ( P>0.05). Multivariate regression confirmed the following as independent risk factors: age ≥75 years, postoperative Harris score <80, non-standard rehabilitation training, combined osteoporosis, diabetes, cerebrovascular disease, visual impairment, and syncope ( OR、 RR>1). Conclusions:Elderly patients are prone to re-fracture after hip surgery, and its occurrence is closely related to advanced age, inadequate functional rehabilitation, osteoporosis, and multiple internal medical comorbidities.In clinical practice, attention should be paid to standardized postoperative rehabilitation, systematic anti-osteoporotic therapy, and active intervention of comorbidities to reduce the incidence of re-fracture and improve the long-term prognosis of patients.

The development and validation of clinical prediction models based on artificial intelligence (AI) and machine learning methods have become increasingly widespread. However, the prediction model bias risk and applicability evaluation tool developed in 2019 (i.e., PROBAST-2019) has shown significant limitations. Therefore, an expanded and updated version of the PROBAST-2019 tool was released in 2025, known as the PROBAST+AI tool. The tool is divided into two parts including model development and model evaluation. It aims to comprehensively and systematically evaluate potential methodological quality issues in model development, bias risks in model evaluation, and the applicability of models, regardless of the modeling method used. This paper provides a systematic interpretation of the PROBAST+AI tool's items and case analyses, with the aim of guiding and assisting researchers engaged in related studies and promoting the high-quality development of clinical predictive model research.

Objective Based on the SWOT analysis method,the temporary medical order dispensing service model of pharmacy intravenous admixture service(PIVAS)of M Hospital was constructed and its implementation effect was evaluated,so as to provide reference for other medical institutions to carry out PIVAS temporary dispensing services.Methods SWOT analysis was used to analyze the advantages,disadvantages,opportunities and threats of PIVAS in M Hospital,and targeted operation strategies and practices were proposed.The safety of intravenous medication,the level of pharmacy service and the cost-effectiveness of the department were used to evaluate the implementation effect of PIVAS temporary medical order dispensing service.Results After the operation strategy of PIVAS temporary medical order dispensing service was constructed and implemented based on SWOT analysis,the time of a single medical order for PIVAS labeling in M Hospital was significantly decreased from(7.19±0.06)s/bag to(6.06±0.09)s/bag(P＜0.05);and the number of errors was significantly reduced from(32.50±2.54)pieces/quarter to(19.75±0.59)pieces/quarter(P＜0.05);The qualified rate of temporary prescription increased from(60.52±1.17)％to(90.63±1.72)％(P＜0.05);The qualified rate of finished infusion delivery time increased from(80.63±1.66)％to(90.80±2.98)％(P＜0.05);The satisfaction rate of PIVAS service in the ward increased from 50％to 90％(P＜0.05);the cost of blending decreased from(3.50±0.05)yuan/bag to(3.00±0.12)yuan/bag(P＜0.05).Conclusion The operation strategy of PIVAS temporary medical order dispensing service of M Hospital based on SWOT analysis gives full play to its own advantages,provides more comprehensive and high-quality services for clinicians and patients,ensures the safety and timeliness of patients' medication,and improves the economic efficiency of the department,which is worthy of reference and promotion.

Objective Based on the SWOT analysis method,the temporary medical order dispensing service model of pharmacy intravenous admixture service(PIVAS)of M Hospital was constructed and its implementation effect was evaluated,so as to provide reference for other medical institutions to carry out PIVAS temporary dispensing services.Methods SWOT analysis was used to analyze the advantages,disadvantages,opportunities and threats of PIVAS in M Hospital,and targeted operation strategies and practices were proposed.The safety of intravenous medication,the level of pharmacy service and the cost-effectiveness of the department were used to evaluate the implementation effect of PIVAS temporary medical order dispensing service.Results After the operation strategy of PIVAS temporary medical order dispensing service was constructed and implemented based on SWOT analysis,the time of a single medical order for PIVAS labeling in M Hospital was significantly decreased from(7.19±0.06)s/bag to(6.06±0.09)s/bag(P＜0.05);and the number of errors was significantly reduced from(32.50±2.54)pieces/quarter to(19.75±0.59)pieces/quarter(P＜0.05);The qualified rate of temporary prescription increased from(60.52±1.17)％to(90.63±1.72)％(P＜0.05);The qualified rate of finished infusion delivery time increased from(80.63±1.66)％to(90.80±2.98)％(P＜0.05);The satisfaction rate of PIVAS service in the ward increased from 50％to 90％(P＜0.05);the cost of blending decreased from(3.50±0.05)yuan/bag to(3.00±0.12)yuan/bag(P＜0.05).Conclusion The operation strategy of PIVAS temporary medical order dispensing service of M Hospital based on SWOT analysis gives full play to its own advantages,provides more comprehensive and high-quality services for clinicians and patients,ensures the safety and timeliness of patients' medication,and improves the economic efficiency of the department,which is worthy of reference and promotion.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

Objective:To explore the related risk factors contributing to re-fracture after hip surgery in elderly patients.Methods:This retrospective analysis was conducted on the clinical data of 2 415 elderly individuals who underwent surgical treatment for hip fractures and were discharged from Shanghai Sixth People's Hospital between January 2016 and December 2021.Patients were grouped into re-fracture and non-re-fracture cohorts based on whether a second fracture occurred within three years after surgery.Demographics, clinical data, and postoperative functional rehabilitation outcomes of the two groups were collected, and univariate and multivariate logistic regression analyses were applied to identify the independent risk factors for re-fractures after surgery.Results:A total of 2, 000 patients who completed follow-up were included in the final analysis, aged 60~91 years, with a mean age of (75.4±8.2) years.Among them, 855 were male(42.75%), and the postoperative re-fracture incidence was 28.25% (565/2 000). Univariate analysis indicated that advanced age, fracture type at first onset, lower Harris scores, insufficient rehabilitation training, osteoporosis, diabetes, cerebrovascular disorders, visual impairment, and syncope were all significantly associated with re-fracture (all P<0.05), while gender differences were not statistically significant ( P>0.05). Multivariate regression confirmed the following as independent risk factors: age ≥75 years, postoperative Harris score <80, non-standard rehabilitation training, combined osteoporosis, diabetes, cerebrovascular disease, visual impairment, and syncope ( OR、 RR>1). Conclusions:Elderly patients are prone to re-fracture after hip surgery, and its occurrence is closely related to advanced age, inadequate functional rehabilitation, osteoporosis, and multiple internal medical comorbidities.In clinical practice, attention should be paid to standardized postoperative rehabilitation, systematic anti-osteoporotic therapy, and active intervention of comorbidities to reduce the incidence of re-fracture and improve the long-term prognosis of patients.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

The breakage pattern of unit particles during the production of oral solid dosage forms (OSD) is closely related to the quality of intermediate or final products. To accurately characterize the particles and study the evolution law of particle breakage, the Bonding model of the discrete element method (DEM) was used to investigate the breakage patterns of model parameters, particle shape and process conditions (loading mode and loading rate) on the dynamic breakage, force-time curve, breakage rate, maximum breakage size ratio and fracture strength of particles. The results showed that the particle breakage force was positively correlated with normal strength and bonded disk scale, negatively correlated with normal stiffness per unit area and tangential stiffness per unit area, and weakly correlated with tangential strength. The particle breakage rate was negatively correlated with the aspect ratio of the particles, and the maximum breakage size ratio was positively correlated with the aspect ratio of the particles; among the three loading modes, the breakage rate of compression breakage model was the largest, the breakage rate of shear breakage model was the second largest, and the breakage rate of wear breakage model was the smallest; the maximum breakage size ratio was positively correlated with the loading rate, the loading mode and the loading rate had no mutual influence on particle breakage rate, but had mutual influence on the maximum breakage size ratio. The research results will provide a theoretical basis for the shift of OSD from batch manufacturing to advanced manufacturing.