Objective: To explore the feasibility, precision, and clinical value of a personalized primary repair approach centered on digital design, integrating 3D printing technology with multiple materials such as titanium mesh, polyetheretherketone (PEEK), and titanium plates, for complex craniofacial bone defects involving the skull, mandible, orbit, and zygoma resulting from traffic accidents, providing a reference for primary repair of clinically complex craniofacial bone defects. Methods: One patient who was admitted in September 2021 with multiple comminuted fractures of the right craniomaxillofacial region and large-area bone defects caused by a traffic accident was selected. Digital design was integrated throughout the entire repair process. First, preoperative computed tomography (CT) data were used for 3D reconstruction of the craniomaxillofacial region; then, based on the model, the anatomical contour of the healthy left side was reproduced via mirroring technology for the defects on the right side. A targeted repair plan was designed: 3D-printed PEEK material was used to reconstruct the right orbital floor and zygomaticomaxillary complex, a 0.6-mm-thick titanium mesh was adopted to repair the right skull defect, and a 2.0-mm-thick titanium plate was applied for rigid internal fixation of the mandibular fracture. A one-stage repair surgery was completed simultaneously. In addition, a literature review was conducted on studies related to the repair of complex combined craniomaxillofacial defects. Results: CT examination at 1 week postoperatively showed that the average fitting gap of the implants was 0.3 mm, and the symmetry difference of the facial contour was less than 5 mm. At 3 months postoperatively, the patient’s maximum mouth opening reached 38 mm, the occlusal relationship returned to normal, and the diplopia symptom completely disappeared. During the 6-month postoperative follow-up, no complications such as implant loosening, infection, or displacement occurred; the FACE-Q scale score was 91, indicating a high level of subjective patient satisfaction. The literature review indicated that digital design combined with 3D printing technology can significantly improve the accuracy of complex craniomaxillofacial bone defect reconstruction. PEEK material is suitable for the reconstruction of the orbital floor and zygomaticomaxillary complex. Titanium mesh and plates can ensure the stability of the reconstruction. Multi-materials combined reconstruction represents an important therapeutic strategy for such defects. Conclusion The individualized one-stage repair scheme, centered on digital design and combined with 3D printing technology and multi-materials (titanium mesh, PEEK, and titanium plates), can achieve precise anatomical reduction and simultaneous functional recovery for complex combined craniomaxillofacial bone defects caused by traffic accidents.

Objective To survey the awareness and intended adoption of patient-based real-time quality control(PBRTQC)among medical laboratories,thereby providing a basis for subsequent research and promotion efforts.Methods An electronic questionnaire was distributed via the Questionnaire Star system to collect participants' general information,their knowledge,attitudes,and practices regarding PBRTQC,as well as their implementation willingness.Results A total of 161 valid questionnaires were collected.The sur-vey revealed that fewer than 50％of laboratory staff had basic knowledge of PBRTQC,and their confidence in establishing and applying PBRTQC in their own laboratories was low.However,they acknowledged its potential to enhance quality management.Key concerns and support needs for PBRTQC promotion include professional implementation guidelines and policy support,reliable third-party evalu-ations,software and hardware support,and user training.Conclusion The laboratory staff accepted the value of PBRTQC and gener-ally held a positive attitude toward its application.Future efforts should focus on developing standardized guidelines,refining evaluation methods,advancing software and hardware,and enhancing knowledge dissemination,technical training and other actions related to guiding the practical implementation thereby facilitating the wider adoption of PBRTQC.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.

Objective To analyze the trends of suicide mortality and disease burden among the elderly aged 60 and above in Chongqing from 2012 to 2023,providing evidence for targeted interventions.Methods Death cases of elderly aged 60 and above were extracted from death registration between 2012 and 2023 according to death records(International Statistical Classification of Diseases and Related Health Problems,10th version:X60-X84,Y87).The data were analyzed to calculate indicators such as the mortality rate,standardized mortality rate,years of life lost(YLL)rate,and average years of life lost(AYLL),and the composition ratio of different causes of death with using Excel 2010 and SPSS 26.0.The comparison of mortality rates between male and female,urban and rural area was conducted using the x2 test.The trend changes of the rates were expressed by the annual percentage change(APC)and the average annual percentage change(AAPC).Results From 2012 to 2023,the suicide mortality rate and standardized mortality rate of the elderly aged 60 and above generally showed a downward trend,decreasing by 3.54%and 4.02%,respectively(P<0.05).From 2012 to 2016,the suicide mortality rate increased by an average of 4.53%per year,and from 2016 to 2021,it decreased by an average of 8.91%per year,and both trends were significant(P<0.05).Only in 2020 and 2022,the male suicide mortality rate was significantly higher than that of females(P<0.05).From 2012 to 2023,the suicide mortality rate and standardized mortality rate of males and females decreased by an average of 2.86%,3.44%,4.21%,and 4.69%per year respectively,and the trends were significant(P<0.05).The suicide mortality rate of the elderly aged 60 and above in rural areas was significantly higher than that in urban areas over the years(P<0.05).From 2012 to 2023,the suicide mortality rate and standardized mortality rate in urban areas remained relatively stable(P>0.05),while the suicide mortality rate and standardized mortality rate of the elderly aged 60 and above in rural areas decreased by an average of 3.44%and 4.02%per year respectively,and the trends were significant(P<0.05).The YLL rate and AYLL caused by suicide among the elderly aged 60 and above decreased from 3.03‰ and 18.54 years in 2012 to 2.26‰ and 17.50 years in 2023 respectively,and the AAPC were-4.02%and-0.60%respectively,and the trends were significant(P<0.05).By comparing the composition of deaths by different suicide methods over the years,it was found that the proportion of deaths due to pesticide poisoning showed a downward trend,while the proportions of deaths by hanging,jumping from a height,and drowning showed an upward trend.Conclusion The suicide mortality rate of the elderly aged 60 and above in Chongqing is relatively high.Although demonstrating an overall downward trend,enhanced efforts toward early identification and intervention for elderly suicide should be enhanced.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To analyze the current status and emerging technology trends in domestic medical drainage tube patents,so as to explore possible factors for low patent conversion rates.Methods Patents associated with"drainage tube","medical drainage tube","surgical drainage tube"and related terms were retrieved from the National Intellectual Property Administration Database and the Innojoy Patent Search Engine,covering the period from 2010 to 2020.Screening and visual analysis were conducted using Excel and SPSS 27.0.Results A total of 2 895 relevant patents were identified,comprising 2 489 utility model patents,367 invention patents and 39 design patents.The number of patent applications demonstrated a year-on-year growth trend,with a higher concentration in eastern coastal regions and provinces housing numerous top-tier hospitals and medical institutions.Approximately 49.26％of the patents filed by individuals were affiliated with hospitals,universities,or enterprises.Innovation hotspots included the design,functionality,performance,and safety aspects of drainage tubes and probes.Of the patents,72.61％were invalid,and 61.73％had a survival period of three years or less.Only 5.15％were commercially utilized through transfers,pledges,or licensing.Conclusion Domestic patent applications for medical drainage tubes have seen rapid growth,with a focus on enhancing tube structures such as sleeves,balloons,drainage holes,and threaded designs.However,the unsatisfactory situation of patent conversion and operation have been mainly limited by factors such as weak core technology of patents,insufficient awareness of achievements conversion,poor operation of patent conversion mechanism,insufficient market promotion,and insufficient integration of industry,academia,and research.To address this issue,enhancing intellectual property protection,revitalizing valid patents,and expanding transformation channels would benefit patients and facilitate hospitals'high-quality development,injecting new vitality into the health industry.

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Direct electrical stimulation of the human cortex can produce subjective visual sensations, yet these sensations are unstable. The underlying mechanisms may stem from differences in electrophysiological activity within the distributed network outside the stimulated site. To address this problem, we recruited 69 patients who experienced visual sensations during invasive electrical stimulation while intracranial electroencephalography (iEEG) data were recorded. We found significantly flattened power spectral slopes in distributed regions involving different brain networks and decreased integrated information during elicited visual sensations compared with the non-sensation condition. Further analysis based on minimum information partitions revealed that the reconfigured network interactions primarily involved the inferior frontal cortex, posterior superior temporal sulcus, and temporoparietal junction. The flattened power spectral slope in the inferior frontal gyrus was also correlated with integrated information. Taken together, this study indicates that the altered electrophysiological signatures provide insights into the neural mechanisms underlying subjective visual sensations.
Humans ; Male ; Female ; Adult ; Visual Perception/physiology* ; Electric Stimulation ; Middle Aged ; Young Adult ; Electrocorticography ; Electroencephalography ; Brain Mapping

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*