Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

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.

Gastrointestinal (GI) cancers are a leading cause of cancer morbidity and mortality worldwide. Despite advances in treatment, cancer relapse remains a significant challenge, necessitating novel therapeutic strategies. In this study, we engineered nanobody-based chimeric antigen receptor (CAR) natural killer (NK) cells targeting cadherin 17 (CDH17) for the treatment of GI tumors. In addition, to enhance the efficacy of CAR-NK cells, we also incorporated CV1, a CD47-SIRPα axis inhibitor, to evaluate the anti-tumor effect of this combination. We found that CDH17-CAR-NK cells effectively eliminated GI cancers cells in a CDH17-dependent manner. CDH17-CAR-NK cells also exhibit potent in vivo anti-tumor effects in cancer cell-derived xenograft and patient-derived xenograft mouse models. Additionally, the anti-tumor activity of CDH17-CAR-NK cells is synergistically enhanced by CD47-signal regulatory protein α (SIRPα) axis inhibitor CV1, likely through augmented macrophages activation and an increase in M1-phenotype macrophages in the tumor microenvironment. Collectively, our findings suggest that CDH17-targeting CAR-NK cells are a promising strategy for GI cancers. The combination of CDH17-CAR-NK cells with CV1 emerges as a potential combinatorial approach to overcome the limitations of CAR-NK therapy. Further investigations are warranted to speed up the clinical translation of these findings.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective:To investigate the current status of implementing medical insurance performance evaluation in the hospitals of China under the background of China Healthcare Security Diagnosis Related Groups (CHS-DRG) and Diagnosis-Intervention Packet (DIP) payment reform, explore the perspectives and recommendations of key department leaders (e.g., health insurance, medical affairs, pricing, and performance evaluation departments) regarding health insurance performance evaluation, analyze the influencing factors in its implementation, so as to provide references for hospitals to develop and refine health insurance performance evaluation strategies.Methods:A questionnaire was designed and distributed to hospitals across 31 provincial-level administrative regions in China from December 1 to 31, 2023. The survey targeted secondary and tertiary general or specialized hospitals. The main responsible persons from four functional departments, including medical insurance, healthcare, pricing, and performance, were invited to participate in the survey. Descriptive analysis was conducted on the questionnaire data, and the chi-square test was used for differential analysis of unordered categorical variables, while the Wilcoxon rank sum test was used for differential analysis of ordered categorical variables.Results:A total of 761 valid questionnaires were collected. Most respondents were health insurance department leaders (420, 55.19%). Among them, 741 respondents reported that their hospitals used CHS-DRG or DIP payment, with 258 indicating that their hospitals had already developed and implemented health insurance performance evaluation plans. A majority (685, 90.01%) expressed support for such initiatives. Influencing factor analysis revealed that hospital type, level, scope of health insurance management departments, and payment methods might impact the implementation of health insurance performance evaluation ( P<0.05). Conclusions:Few hospitals have currently adopted health insurance performance evaluation, underscoring the urgency to establish a scientific and reasonable evaluation plan as a robust tool for internal hospital management.

Objective:Exploring the role and mechanism of CHMP4C in regulating necroptosis during gastric can-cer development and progression.Method:The expression of CHMP4C in pan-cancer was analyzed by bioinformatics methods,and the expression of CHMP4C was detected in human normal gastric epithelial cells and GC cell lines by RT-qPCR and Western blot.Overexpression or knockdown of CHMP4C was performed in GC cell lines,and the effects of CHMP4C on the growth and proliferation of GC cells were detected using CCK-8 and clone formation assays.The CCK-8 experiment and Hoechst/PI double staining experiment were used to detect the changes in GC cell mortality and PI positive cell ratio after treatment with the necroptsis inducer TSZ or inhibitor necrostatin-1(Nec-1).Western blot assay was used to detect the protein and phosphorylation levels of RIPK1,RIPK3,and MLKL in GC cells.Result:CHMP4C was upregulated in GC tissues and cells.The CCK-8 and clone formation experiments showed that overex-pression of CHMP4C significantly improved the proliferation ability and colony formation efficiency of GC cells,while knockdown of CHMP4C significantly weakened GC cells.Moreover,the results of CCK-8 and Hoechst 33342/PI double staining experiments showed that upregulated CHMP4C could inhibit TSZ induced GC cell death;Nec-1 can reverse the decrease in GC cell viability caused by CHMP4C knockdown.Western blot experiment showed that the levels of p-RIPK1,p-RIPK3,and p-MLKL were significantly decreased in overexpressing cells,while they were increased in knockdown cells.After treatment with Nec-1,the expression levels of these three proteins decreased in knockdown cells.Conclusion:CHMP4C may promote GC progression by negatively regulating necroptosis through inhibiting the phosphorylation of the RIPK1/RIPK3/MLKL signaling pathway,suggesting that it is expected to be a potential target for GC therapy.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

OBJECTIVE To investigate the effect and mechanism of soluble guanylate cyclase stimulator sGC003F on cardiac function in mice with chronic heart failure(CHF).METHODS C57BL/6J male mice were randomly divided into the sham operation(sham)group,transverse aortic constriction induced CHF mouse model group,model+veliciguat(Ver,3 mg·kg-1)group(positive control)and model+sGC003F(3 and 10 mg·kg-1)group.Four weeks after modeling,drugs were ig given,once a day,for 28 d.Echocardiography was used to measure the changes in cardiac function,and the myocardial hypertrophy related indexes were calculated.The levels of serum N-terminal pro-brain natriuretic peptide(NT-pro-BNP),N-terminal pro-atrial natriuretic peptide(NT-pro-ANP),soluble guanylate cyclase(sGC),cyclic guanosine monophosphate(cGMP)and inflammatory factors interleukin-6(IL-6),tumor necrosis factor-α(TNF-α)and IL-1β were detected by ELISA.The pathological changes of left heart tissue were observed with HE and Masson staining.Image was used to analyze the percentage of fibrosis in cardiac tissus stained with Masson.The activity of superoxide dismutase(SOD),content of malondialdehyde(MDA)in myocardial tissue,and level of nitric oxide(NO)in serum were detected by biochemical detection kits.The protein expression levels of p-mammalian target of rapamycin(p-mTOR),p-protein kinase B(p-Akt),TNF-α and IL-6 in cardiac tissue were detected by Western blotting.RESULTS Com-pared with the sham group,the left ventricular ejection fraction(LVEF)and left ventricular fractional shortening(LVFs)in the model group decreased significantly(P<0.01),the cardiac structure changed significantly,the percentage of myocardial fibrosis increased significantly(P<0.05),so were serum NT-pro-BNP and NT-pro-ANP levels(P<0.01).Compared with the model group,the above indexes of the model+Ver group and the model+sGC003F 3 mg·kg-1 group were significantly improved(P<0.05,P<0.01).The sGC003F 10 mg·kg-1 group had a significant improvement in LVEF,LVFs,and NT-pro-BNP(P<0.01).Compared with the sham group,the serum levels of NO,sGC and cGMP in the model group decreased significantly(P<0.05,P<0.01).Compared with the model group,the serum levels of NO,sGC and cGMP were significantly increased in the model+sGC003F 3 mg·kg-1 group(P<0.01),but only serum cGMP levels were significantly increased in model+Ver and model+sGC003F 10 mg·kg-1 groups(P<0.01).Compared with the sham group,the serum levels of TNF-α,IL-1β and IL-6 in the model group were significantly increased(P<0.05,P<0.01).Compared with the model group,the serum levels of TNF-α,IL-1β and IL-6 were significantly decreased in the model+sGC003F 3 mg·kg-1 group(P<0.05,P<0.01),and only the TNF-α level was significantly decreased in the model+sGC003F 10 mg·kg-1 group(P<0.01).Compared with the sham group,the SOD activity of the model group was significantly decreased(P<0.01),but the MDA content significantly increased(P<0.01).Compared with the model group,SOD and MDA were significantly improved in the model+sGC003F 3 mg·kg-1 group(P<0.05,P<0.01),but in the model+Ver group only the SOD activity significantly increased(P<0.05).Western blotting showed that the expressions of p-mTOR,p-Akt,TNF-α and IL-6 protein in myocardial tissue of the model group were significantly higher than in the sham group(P<0.05).Compared with the model group,the expressions of the above proteins in the model+sGC003F 3 mg·kg-1 group were significantly decreased(P<0.05,P<0.01),so were the expressions of TNF-α protein in the model+sGC003F 10 mg·kg-1 group and model+Ver group(P<0.01).CONCLUSION sGC003F can improve cardiac function,and reduce myocardial fibrosis in CHF model mice,which may be related to the inhibition of myocardial oxidative stress and inflammation,and the regulation of NO/sGC/cGMP and AKT/mTOR signaling pathways.