ObjectiveTo construct a group-based trajectory model (GBTM) for early medication adherence check-in, and to analyze the relationship between different trajectories and treatment outcomes in tuberculosis patients using data that were generated from smart tools for monitoring their medication adherence and check-in. MethodsFrom October 1, 2022 to September 30, 2023, a total of 163 pulmonary tuberculosis patients diagnosed in Fengxian District were selected as the study subjects. The GBTM was utilized to analyze the weekly active check-in trajectories of the subjects during the first 4 weeks and establish different trajectory groups. The χ² tests were employed to compare the differences between groups and logistic regression analysis was conducted to explore the relationship between different trajectory groups and treatment outcomes. ResultsA total of four groups were generated by GBTM analyses, of which a low level of punch card was maintained in group A, 6% of the drug users increased rapidly from a low level in group B, 17% of drug users increased gradually from a low level in group C, and 18% of drug users maintained a high level of punch card in group D. The trajectory group was divided into two groups according to homogeneity, namely the low level medication punch card group (group A) and the high level medication punch card group (group B, group C, and group D). The results of multivariate logistic regression analyses revealed that low-level medication check-in (OR=3.250, 95%CI: 1.089‒9.696), increasing age (OR=1.030, 95%CI: 1.004‒1.056), and not undergoing sputum examination at the end of the fifth month (OR=2.746, 95%CI: 1.090‒7.009) were significantly associated with poor treatment outcomes. ConclusionThe medication check-in trajectory of pulmonary tuberculosis patients within the first 4 weeks is correlated with adverse outcomes, or namely consistent low-level medication adherence check-ins are associated with poor treatment outcomes, while high-level medication adherence check-ins are associated with a lower incidence of adverse outcomes.

Objective To study the effect of drinking carbohydrate drinks before cesarean section on mothers and neonates,and to explore the application value of drinking carbohydrate drinks before cesarean section.Methods The clinical data of 206 singleton women who underwent selective cesarean section in Obstetrics and Gynecology Hospital,Fudan University from Jun 2020 to Jun 2021 were retrospectively studied.Patients were divided into enhanced recovery after delivery(ERAD)group and control group according to whether drinking carbohydrate drinks before cesarean section.A retrospective cohort study was conducted to analyze the effect of preoperative carb drinks on preoperative fluid supplementation,postoperative rehabilitation and neonatal prognosis.Results Among patients who fasted for less than 12 hours,the ERAD group had a lower fluid supplementation rate and a smaller average fluid supplementation volume compared to the control group(P＜0.05).The ERAD group had a lower rate of prokinetic agent using after surgery(P＜0.05).Among women without a history of abdominal surgery,the ERAD group had less blood loss 24 hours after surgery(P＜0.05).There were no significant differences in postoperative fever rate,incidence of nausea and vomiting,time of first flatus,neonatal apgar score,exit observation room neonatal blood,and neonatal neonatal intensive care unit(NICU)admission rate between the two groups.Among newborns with high-risk factors for hypoglycemia,the ERAD group had lower enter observation room neonatal blood compared to the control group,and a higher incidence of hypoglycemia(P＜0.05).Conclusion Oral intake of carbohydrate drinks before cesarean section may be beneficial in reducing fluid supplementation before elective cesarean section,promoting postoperative gastrointestinal function recovery,and reducing postoperative bleeding.However,it may be related to the occurrence of neonatal hypoglycemia.

Transcatheter aortic valve replacement(TAVR)has become one of the effective methods for treating patients with aortic valve disease.With the continuous maturity of technology,innovation of instruments and increasing experience,the indications for TAVR has been expanded.Following international trends,the number of TAVR in China has steadily increased with each passing year.In 2023,the long-term follow-up results of TAVR in low-risk AS patients further confirm the long-term benefits of TAVR.The relevant research on TAVR for patients with aortic regurgitation and patients with bicuspid aortic stenosis provide evidence support for the expansion of TAVR indications.At the same time,the development of valve devices and new technological innovations are emerging in an endless stream,and the new concept of full life cycle management is increasingly being valued.Especially in China,the development of local devices is progressing rapidly,and multiple devices have entered the clinical research stage.The clinical manifestations and research results are worth pursuing.

Osteoporotic proximal humeral fracture (OPHF) is one of the common osteoporotic fractures in the aged, with an incidence only lower than vertebral compression fracture, hip fracture, and distal radius fracture. OPHF, secondary to osteoporosis and characterized by poor bone quality, comminuted fracture pattern, slow healing, and severely impaired shoulder joint function, poses a big challenge to the current clinical diagnosis and treatment. In the field of diagnosis, treatment, and rehabilitation of OPHF, traditional Chinese and Western medicine have accumulated rich experience and evidence from evidence-based medicine and achieved favorable outcomes. However, there is still a lack of guidance from a relevant consensus as to how to integrate the advantages of the two medical systems and achieve the integrated diagnosis and treatment. To promote the diagnosis and treatment of OPHF with integrated traditional Chinese and Western medicine, relevant experts from Orthopedic Expert Committee of Geriatric Branch of Chinese Association of Gerontology and Geriatrics, Youth Osteoporosis Group of Orthopedic Branch of Chinese Medical Association, Osteoporosis Group of Orthopedic Surgeon Branch of Chinese Medical Doctor Association, and Osteoporosis Committee of Shanghai Association of Integrated Traditional Chinese and Western Medicine have been organized to formulate Expert consensus on the diagnosis and treatment of osteoporotic proximal humeral fracture with integrated traditional Chinese and Western medicine ( version 2024) by searching related literatures and based on the evidences from evidence-based medicine. This consensus consists of 13 recommendations about the diagnosis, treatment and rehabilitation of OPHF with integrated traditional Chinese medicine and Western medicine, aimed at standardizing, systematizing, and personalizing the diagnosis and treatment of OPHF with integrated traditional Chinse and Western medicine to improve the patients ′ function.

ObjectiveCoronavirus is a class of long-standing pathogens, which are enveloped single-stranded positive-sense RNA viruses. The genome all encodes 4 structural proteins: spike protein (S), nucleocapsid protein (N), membrane protein (M), and envelope protein (E). The nucleocapsid protein (NP) serves as a key structural component of coronaviruses, playing a vital function in the viral life cycle. NP acts as an RNA-binding protein, with a critical role in identifying specific sequences within the viral genome RNA, facilitating the formation of ribonucleoprotein (RNP) complexes with viral RNA to stabilize the viral genome and contribute to viral particles assembly. The NP consists of two primary structural domains, the N-terminal domain (NTD) and the C-terminal domain (CTD). The NTD is primarily responsible for RNA binding, whereas the CTD is involved in polymerization. The N protein demonstrated to trigger the host immune response and to modulate the cell cycle of infected cells by interacting with host proteins. The NP, one of the most abundant protein in coronaviruses, is essential in understanding the pathogenic mechanism of coronaviruses through its interaction with host factors, which response for determining the virus pathogenicity. HCoV-229E is a widely distributed coronavirus that typically causes mild upper respiratory tract diseases, accounting for a significant portion of common cold cases. However, its pathogenicity is notably lower compared to other coronaviruses like MERS-CoV, SARS-CoV, and SARS-CoV-2. The exact molecular mechanism behind remains unexplained, and how HCoV-229E N protein influences virus replication, host antiviral immunity, and pathogenesis need to be further explored. MethodsProximity labeling-mass spectrometry technique and bioinformatics analysis were used to screen for potential host factors interacting with the NP of human coronavirus 229E (HCoV-229E). In this study, a recombinant adenovirus Ad-V5-NP^HCoV-229E-TurboID was constructed to express the fusion protein of HCoV-229E NP and biotin ligase (TurboID). A549 cells were infected with the Ad-V5-NP^HCoV-229E-TurboID. After 30 min biotin treatment, NP interacting proteins were labeled with biotin by biotin ligase, and subsequently isolated with streptavidin cross-linked magnetic beads. The potential interacting proteins were identified using label-free proteomic mass spectrometry and further validated through immunoprecipitation and immunofluorescence assays. ResultsWe identified a total of 584 potential interacting proteins. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis highlighted the enrichment of glycogen synthase kinase (GSK)3A and GSK3B in the glycolysis/gluconeogenesis pathway, indicating HCoV-229E NP connection to diabetes through aberrant activity. Moreover, SARS-CoV-2 infection can exacerbate hyperglycemia and metabolic dysregulation in diabetic individuals by activating the ACE2 receptor. Moreover, SARS-CoV-2 was observed to cause potentially harm to pancreatic β‑cells and leading to insulin deficiency, which not only worsens the condition of diabetic patients but also raises the possibility of new-onset diabetes in non-diabetic individuals. We demonstrated that GSK3A and GSK3B interacted with NP of HCoV-229E, suggesting that the NP may engage in various coronavirus pathogenic processes by interacting with GSK3. ConclusionThese findings suggest that proximity labeling-mass spectrometry technique is a valuable tool for identifying virus-host interaction factors, and lay the foundation for future investigations into the mechanisms underlying coronavirus replication, proliferation, and pathogenesis.

Orodispersible films (oral dispersible films), a novel form of oral solid dosage forms, are widely used for patients with dysphagia and those with uncontrollable autonomic behavior. In this study, suvorexant orodispersible film was prepared by hot melt extrusion technology, and the disintegration time, mechanical properties, in vitro dissolution and pharmacokinetics were evaluated, compared with other orodispersible films and commercially available tablets Belsomra. All experiments were approved by the Committee on the Management and Use of Laboratory Animals of Academy of Military Medical Sciences (IACUC-DWZX-2024-504). The results showed that the dissolution rate of suvorexant orodispersible film was faster and the mechanical strength was better than that of other commercially available orodispersible film, which could meet the needs of storage and transportation. Differential scanning calorimetry and X-ray diffraction results showed that suvorexant was dispersed within the orodispersible film in an amorphous state. The in vitro dissolution of the film was observed to be four times faster than that of the commercial tablets, achieving complete dissolution within five minutes. Pharmacokinetic evaluations in Beagle dogs revealed that the self-formulated orodispersible film exhibited no significant differences in the area under the blood concentration-time curve when compared with Belsomra. However, the film showed a faster onset of action, with a peak time that was twice as rapid, and a maximum blood concentration that was twice as high as that of Belsomra. Leveraging hot melt extrusion technology, the suvorexant orodispersible film offers a straightforward, continuous production process with consistent quality. It serves as an excellent platform for the development of solvent-free film preparations tailored for patients with special needs.

The rheological properties of drug and carrier materials have a wide range of guiding significance for the formulation and process development of solid dispersions. In this study, the rheological properties of materials with different drug carrier ratios were systematically studied with suvorexant as the model drug and copovidone as the carrier material, which provided a sufficient basis for determining the formulation and process of solid dispersions. The optimal suvorexant-copovidone ratio obtained by oscillating temperature scanning was 1∶4. If the ratio is greater than 1∶ 4, the glass transformation temperature of the material will increase significantly, and the solubilization effect of the solid dispersion will show a downward trend. The results of oscillation temperature scanning and oscillation temperature sweep can show that when the extrusion temperature is greater than 150 ℃, the viscosity of the material is less than 10 000 Pa·s, and the melt can be extruded smoothly, and the best extrusion temperature of 160-180 ℃ can be obtained by combining the dissolution results. Finally, the dissolution of suvorexant tablets guided by rheological property studies in multiple media is similar to that of the commercially available tablets Belsomra. Therefore, rheological studies can screen and optimize the formulation and process of suvorexant solid dispersions at the mechanism level, which is of great significance to improve the success rate of R&D and shorten the R&D cycle of solid dispersions prepared by hot melt extrusion.

Objective To build a healthcare data quality testing system to solve the problems due to low-quality data.Methods The system was developed based on 11 evaluation indicators in four categories including completeness,accuracy,data scope and timeliness,which was realized with MySQL 5.7 database,Browser/Server(B/S)architecture,Python,Java,Vue language and vscode neovim development tool.There were four functional modules involved in the system for system setup,data management,quality management and quality analysis.Results The system developed managed data quality testing rules flexibly and normatively,which could be used for periodical analysis of data quality and viewing of data testing results conveniently and enhanced the efficiency for testing data quality and solving data quality problems.Conclusion The system developed enhances data quality and provides data support for hospitals.[Chinese Medical Equipment Journal,2024,45(4):7-12]

Objective To design a post-structured technology-based clinical disease database system to solve the problems of the traditional disease database system in dependence on manual judgment,lack of auxiliary annotation and poor availability of electronic medical record data.Methods An entity recognition model was constructed with I2B2 standard and bi-directional long short-term memory(BiLSTM)model to form a medical record template library,and some relational templates were generated and complex medical entities were extracted to realize post-structuring of electronic medical records.Then a clinical disease database system was established based on the post-structured electronic medical record technology,which was composed of the modules for medical record structuring,structured assessment,data annotation,routine functions and system management.Results The system developed transformed the text of electronic medical records into structured language,contributed to data element extraction and intelligent structured service and enhanced the efficiency of clinical treatment and scientific research.Conclusion The system developed improves the data availability of clinical diseases,reduces the workload of user data processing,ensures the quality of data application and lays a foundation for assisted decision making during clinical treatment and scientific research.[Chinese Medical Equipment Journal,2024,45(4):20-26]

By using paddy rice harvested between 2019 and 2023 as the research object,the volatile components of rice grains were detected by headspace solid-phase microextraction coupled with gas chromatography-triple quadrupole mass spectrometry.Qualitative analysis of the compounds was complemented by a standard mass spectrometry database and retention index,while a selected ion monitoring approach was established to quantify the contents of each component through the internal standard method.Multivariate statistical analyses including principal component analysis and orthogonal partial least squares discriminant analysis were employed to identify differential compounds related to freshness of the paddy rice.Subsequently,a classification model for identifying stored paddy rice based on volatile component analysis was developed.A total of 44 kinds of volatile compounds were identified across different harvest years,including aldehydes,alcohols,ketones,acids,esters,phenols and furans.The results of the multivariate statistical analysis revealed that the content-based orthogonal partial least squares discriminant analysis model could effectively distinguish 2023 harvested paddy rice from those harvested between 2019 and 2022 into two distinct categories.Notably,compounds such as hexanoic acid and nonanoic acid along with twelve others were identified as differential compounds based on variable improtance in projection(VIP)values exceeding 1 and p values less than 0.05.The classification model established through volatile component analysis was expected to provide a theoretical foundation for assessing the freshness of stored paddy rice.