Objective: To identify the latent class characteristics of health literacy and related factors among junior high school students, so as to provide evidence for developing precise and systematic health literacy promotion strategies. Methods: In November 2024, a two stage random cluster sampling method was used to conduct a questionnaire survey among 8 933 junior high school students in Zhongshan. Health literacy was assessed across six dimensions: health behavior and lifestyle, disease prevention and control, mental health, growth development and puberty health, safety emergency and risk avoidance, and medical knowledge and appropriate healthcare utilization. Latent profile analysis was used to identify distinct health literacy classes, and multinomial Logistic regression was applied to analyze the related factors. Results: Three latent classes of health literacy among junior high school students were identified: the well balanced type(71.7%，6 406), the medical knowledge deficit type(22.3%，1 992), and the overall low literacy type(6.0%，537). Logistic regression analysis showed that girls had lower risks of belonging to the medical knowledge deficit type( OR =0.53, 95% CI =0.48-0.59) and the overall low literacy type( OR =0.27,95% CI =0.22-0.33) compared with boys(both P <0.05). Students in rural schools had the highest risks of belonging to these two profiles above [ OR (95% CI ) =1.89 (1.61-2.21), 3.18 (2.50-4.06),both P <0.05]. Junior high school students having ≥2 siblings were positively associated with belonging to these two profiles, with risks 1.60 (95% CI = 1.35-1.89) and 2.25 times (95% CI =1.66-3.05) higher than those of only children (both P <0.05). Junior high school students with parental education of bachelor s degree or above were associated with lower risk of belonging to the medical knowledge deficit type (father: OR =0.63, 95% CI =0.47-0.84; mother: OR =0.68, 95% CI = 0.52 -0.90,both P <0.05). Junior high school students with receiving health education courses ≥3 times per month were associated with lower risks of belonging to both the medical knowledge deficit type and overall low literacy type ( OR =0.51, 95% CI =0.43- 0.60 ; OR =0.33, 95% CI =0.25-0.42, both P <0.05). Conclusions Three latent classes of health literacy exist among junior high school students in Zhongshan. Targeted interventions should be implemented based on profile characteristics, with an emphasis on strengthening medical knowledge education and providing comprehensive support for vulnerable groups.

Objective: To explore the application method and clinical efficacy of endoscopic and computerized navigation technology in maxillofacial foreign body removal surgery, and to provide a reference for the clinical application of this technology. Methods: This study, which was approved by the Medical Ethics Committee of the hospital, retrospectively analyzed the data of five patients with maxillofacial foreign bodies who were admitted to Sun Yat-sen Memorial Hospital, Sun Yat-sen University from January 2018 to December 2024. All patients underwent preoperative CT scanning. Intraoperatively, endoscopic and computer navigation techniques were used in combination or separately according to the location, size, and adjacency of the foreign body to important neurovascular vessels. The foreign body was precisely localized by endoscopic magnification and direct visualization, and the optimal surgical path was designed and verified under the real-time guidance of computerized navigation to accurately remove the foreign body. The type of foreign body, location, length and diameter, duration of surgery, length of incision, success rate of foreign body removal, postoperative complications, and follow-up were recorded and analyzed. Results: The foreign body was successfully removed in all five patients with a success rate of 100%. The intraoperative computerized navigation system was accurate in positioning, and the alignment stability was not significantly affected by mandibular movement; the endoscope provided good illumination and exposure of the operative field. All surgical incisions were small, and no serious complications, such as foreign body residue, important neurovascular injury, or infection, occurred after surgery. One month after the operation, the patients were followed up and recovered well. Conclusion The combination of endoscopy and computer navigation or separately assisted technology can provide a clear field and real-time positioning for maxillofacial foreign body removal, effectively avoiding important anatomical structures, thus realizing safe and complete foreign body removal with minimized trauma. This assistive technology significantly improves the accuracy and safety of the operation and has clinical promotion value.

Oral and maxillofacial tumor surgery is characterized by complex anatomical structures, extensive surgical trauma, and high demands for postoperative functional reconstruction. Perioperative complications and functional impairments significantly affect patients’ recovery process, quality of life, and long-term prognosis. Enhanced recovery after surgery (ERAS), grounded in evidence-based medicine, optimizes perioperative management through multidisciplinary collaboration and demonstrates substantial application potential in oral and maxillofacial surgery. Multiple prospective studies have confirmed that standardized airway management, goal-directed fluid and temperature management, and specialized ward-based care can shorten hospital stays, facilitate early enteral nutrition and ambulation, and reduce intensive care unit admission rates and postoperative complications. However, existing ERAS studies mainly focus on traditional clinical outcomes, with insufficient attention paid to functional recovery specific to patients with oral and maxillofacial tumors after surgery, including speech, swallowing, mastication, facial expression, and psychosocial function. Based on the structure-process-outcome quality evaluation model, this review summarizes the implementation pathways and evaluation framework of ERAS in oral and maxillofacial tumor surgery. Furthermore, integrating current international evidence and a large cohort study from our team evaluating a delayed extubation strategy in patients undergoing free flap reconstruction, we demonstrate that perioperative management aligned with ERAS principles can significantly shorten hospital stays, reduce postoperative complications, and decrease medical costs while maintaining safety. Future efforts should focus on specialized pathways for oral and maxillofacial surgery, strengthening long-term functional and quality-of-life follow-up, and exploring digital and precision rehabilitation tools to promote the transition of ERAS toward a comprehensive recovery model emphasizing functional restoration and social reintegration.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

The year 2025 is a crucial one for the leapfrog development of basic research in liver transplantation in China. This article systematically reviews and summarizes the major original contributions made by Chinese scholars in the field of liver transplantation during the year. In the field of xenotransplantation, our research teams have successively completed the world's first gene-modified pig-human in situ and auxiliary liver transplantation, marking that China is leading globally in the clinical transformation of xenogeneic organs. In the aspect of donor liver source expansion and repair, the deep integration of domestic bionic oxygenation machine perfusion system with cell-loaded microgels and 3D bioprinting technology has successfully achieved the dynamic functional repair of marginal donor livers and the preliminary construction of artificial liver tissues. Regarding elderly donor livers, the mechanism of the interaction-driven network between senescent hepatic sinusoidal endothelial cells and hepatocytes was revealed for the first time, promoting the transformation from "passive treatment" to "active management of aging risks". In addition, domestic research has systematically revealed the multi-dimensional pathological mechanisms of ischemia-reperfusion injury, including acetylation regulation and cell pyroptosis, ferroptosis, etc. and innovatively proposed cutting-edge strategies such as "hibernation mechanism-driven organ protection" and "donor-specific thymus vaccine". In the aspects of liver transplantation for hepatocellular carcinoma and precise management, the deep integration of multi-omics technology and artificial intelligence has demonstrated high accuracy in postoperative complication prediction and tumor recurrence prediction, providing solid evidence-based basis for enhancing the international discourse power of "Chinese standards". Through this annual academic review, this article aims to showcase the core breakthroughs in basic research on liver transplantation in China, and contribute wisdom to promoting the transformation of clinical diagnosis and treatment paradigms and achieving international academic alignment.

ObjectiveTo establish an objective evaluation system based on the quality characteristics of Gardeniae Fructus without relying on the origin label according to the theory of excellent shape， high quality， and superior effect of authentic medicinal materials， thus providing a scientific basis for the standardization of Gardeniae Fructus. MethodsDifferent batches of Gardeniae Fructus samples were collected from different producing areas. Through herbal textual research and a review of modern literature， fruit length， maximum fruit diameter， and chroma were selected as quantitative indicators to characterize the traditional appearance traits of Gardeniae Fructus. The above indicators were measured by a vernier caliper and a spectrophotometer. Through classical famous prescription data and literature analysis， total iridoid glycosides， total crocus glycosides， and total flavonoids were selected as the core component indicators related to efficacy， and their content was determined. Finally， through cluster analysis， the threshold ranges of the quantitative indicators of excellent shape and high quality were determined， and the applicability of the established evaluation system was verified by the determination of the indicators for each batch of medicinal materials. ResultsThe excellent shape indicators of Gardeniae Fructus were the fruit length-to-maximum fruit diameter ratio ≤1.86， 0°≤h≤45°， and L^*≥ 37.32. The content of total iridoid glycosides， total crocus glycosides， and total flavonoids should be no less than 2.2%， 0.44%， and 0.028%， respectively. The measurement results of different batches of Gardeniae Fructus showed that the evaluation system could effectively distinguish the Gardeniae Fructus samples in line with the traditional cognition of excellent shape and high quality. ConclusionThis study preliminarily constructs an excellent shape and high quality-based quality evaluation system for Gardeniae Fructus， which links appearance traits with chemical indicators and provides a methodological basis for the quality control and scientific grading of this herbal medicine.

ObjectiveTo investigate the trends in the disease burden of falls among Chinese children and adolescents from 1990 to 2021, and to inform the development of targeted prevention and control strategies. MethodsData on age-standardized incidence rate, age-standardized mortality rate and age-standardized disability-adjusted life years (DALYs) rate for falls among Chinese children and adolescents under 20 years of age from 1990 to 2021 were systematically extracted from the Global Burden of Disease Study (GBD) 2021 database. The annual percent change (APC) and average annual percent change (AAPC) were calculated to evaluate temporal trends in fall-related disease burden across different age groups and sexes. ResultsFrom 1990 to 2021, the age-standardized incidence rate of falls among Chinese children and adolescents showed a non-linear fluctuation (AAPC=0.08%, P=0.040), while both the age-standardized mortality rate and age-standardized DALYs rate declined (AAPC=-3.66% and -3.09%, both P<0.001). The crude incidence rate decreased in the <5 years old and 5 ‒ <10 years old groups (AAPC=-1.38% and -0.29%, both P<0.001), but increased annually in the 10 ‒ <15 years old and 15 ‒ <20 years old groups (AAPC=0.27% and 0.81%, both P<0.001). The crude mortality rate and crude DALYs rate declined across all four age groups, with the most significant reduction observed in the <5 years old group (AAPC=-5.21%, 95%CI:-5.55%‒ -5.00%; AAPC=-4.98%, 95%CI: -5.20%‒ -4.79%, both P<0.001). For both males and females, the age-standardized incidence rate of falls showed a V-shaped trend (initial decline followed by a subsequent rise). In contrast, the age-standardized mortality rate and age-standardized DALY rate declined in both sexes, with an AAPC of -3.40% and -2.94% for males, and -4.50% and -3.49% for females, respectively (all P<0.001). ConclusionThe overall disease burden of falls among Chinese children and adolescents has been substantially improved; however, the incidence burden remains considerable. Future prevention efforts should be tailored to age- and sex-specific characteristics, with the family as the fundamental care unit in conjunction with high-quality nursing extension services, to establish a closed-loop management model encompassing “early identification, immediate intervention, and continuous follow-up.”

ObjectiveTo analyze the microbial culture positivity rate， pathogen spectrum， prevalence of multidrug-resistant organisms （MDROs）， and differences among donor procurement sources in corneas from the Eye Bank of Guangdong Province， and to provide evidence for eye bank quality control and the prevention of post-keratoplasty infections. MethodsThis retrospective study included 7 442 donor corneas procured by the Eye Bank of Guangdong Province and used for keratoplasty at Zhongshan Ophthalmic Center， Sun Yat-sen University， between 2018 and 2025. During surgery， donor corneoscleral rim tissue was excised for bacterial and fungal culture. Culture-positive specimens underwent microbial identification and antimicrobial susceptibility testing （AST）. Culture-positive corneas were compared across study years， pathogen categories， and donor procurement sources. ResultsOf the 7 442 donor corneas， 251 were culture-positive， corresponding to an overall culture positivity rate of 3.37%， with annual rates ranging from 1.50% to 5.31%. Among culture-positive corneas， 178 （70.92%） yielded bacteria alone， 72 （28.68%） yielded fungi alone， and 1 （0.40%） yielded both bacteria and fungi. Candida spp. and Aspergillus spp. were the predominant fungal isolates. Gram-negative bacteria were more frequently isolated than Gram-positive bacteria. The most common bacterial isolates were Acinetobacter baumannii， Staphylococcus epidermidis， Stenotrophomonas maltophilia， Enterococcus faecium， and Pseudomonas fluorescens. MDROs accounted for 75.47% of bacterial isolates， predominantly Acinetobacter baumannii， Staphylococcus epidermidis， and Enterococcus faecium， and demonstrated an increasing trend over the study period. Donor corneas procured through the Hospital Cornea Retrieval Program （HCRP） had a higher culture positivity rate than those obtained through Organ Procurement Organization （OPO） （P＜0.000 1）. Among culture-positive donor corneas， the proportion of fungal culture-positive corneas was significantly higher in the HCRP group than in the OPO group （P=0.001 5）， whereas the proportion of MDROs among bacterial culture-positive corneas was significantly higher in the OPO group than that in the HCRP group （P=0.005 2）. ConclusionsThe overall culture positivity rate of donor corneas from the Eye Bank of Guangdong Province is relatively low， indicating that the risk of microbial contamination is controlled. However， pathogen profiles and antimicrobial resistance patterns varies by procurement source. Ongoing microbiological and antimicrobial resistance surveillance， together with optimized donor risk assessment and timely reporting of culture results， may further improve eye bank quality management and help inform strategies for preventing post-keratoplasty infections.

ObjectiveTo compare the incidence of postoperative shivering between female patients undergoing gynecological and general surgery and to examine perioperative factors associated with postoperative shivering. MethodsThis retrospective study included 12 186 patients who underwent gynecological or general surgery between January 1， 2022， and March 15， 2024， of whom 10 884 female patients constituted the primary analysis population. Among the female patients， 1：1 nearest-neighbor propensity score matching was performed using a caliper of 0.02 on the raw propensity score scale， with exact matching on American Society of Anesthesiologists （ASA） physical status. After matching， the incidence of postoperative shivering was compared using the McNemar test. Conditional logistic regression stratified by matched pair was used to assess the associations of surgical categories and perioperative factors with postoperative shivering. ResultsBefore propensity score matching， the incidences of postoperative shivering were 2.98% （28/940） in the general surgery group and 4.94% （491/9 944） in the gynecological surgery group （P=0.007）. After matching， 881 matched pairs were obtained， and the absolute standardized mean differences （SMDs） for all covariates were < 0.10. The incidences of postoperative shivering were 3.06% （27/881） in the general surgery group and 4.99% （44/881） in the gynecological surgery group. The McNemar test without continuity correction yielded P=0.044， whereas the exact McNemar test showed a P value of 0.057. Unifactorial conditional logistic regression showed that gynecological surgery was associated with higher odds of postoperative shivering than general surgery ［odds ratio （OR）=1.63， 95% confidence interval （CI）： 1.01-2.63， P=0.046］. However， the association was not statistically significant in the multifactorial conditional logistic regression ［adjusted odds ratio （aOR）=1.62， 95%CI： 0.78-3.37， P=0.197］. Each 30-min increase in the duration of surgery was associated with 32% higher odds of postoperative shivering （aOR=1.32， 95%CI： 1.07-1.62， P=0.009）. Each 1 °C increase in the minimum intraoperative body temperature was associated with lower odds of postoperative shivering， although the association did not reach statistical significance （aOR=0.32， 95%CI： 0.10-1.02， P=0.053）. ConclusionAfter propensity score matching， the incidence of postoperative shivering was higher among female patients undergoing gynecological surgery than among those undergoing general surgery； however， neither the exact comparison nor the adjusted association reached statistical significance. A longer duration of surgery was associated with higher odds of postoperative shivering， whereas a higher minimum intraoperative body temperature may be associated with lower odds.