OBJECTIVE To compare and analyze the clinical efficacy and safety of postauricular versus intratympanic dexamethasone injection in the treatment of sudden sensorineural hearing loss （SSNHL） with all frequency loss. METHODS A retrospective study was conducted on 150 patients with SSNHL with all frequency loss who were treated at the Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Zhejiang University of Chinese Medicine between June 1， 2020， and May 31， 2025. According to different injection routes， the patients were divided into the intratympanic group （intratympanic injection， n ＝78） and the postauricular group （postauricular injection， n ＝72）. The differences in hearing threshold indicators and auditory outcomes before and after treatment， tinnitus/vertigo indicators， coagulation function indicators before and after treatment， as well as adverse reactions during treatment were compared between the two groups. RESULTS After treatment， both groups demonstrated significant reductions in the mean speech-frequency threshold and the mean hearing threshold compared with baseline （ P ＜0.05）， whereas no statistically significant differences were observed between the two groups （ P ＞0.05）. Therapeutic outcomes varied significantly across different degrees of hearing loss in each group （intratympanic group： P ＝0.005； postauricular group： P ＜0.001）. Moreover， a significant linear trend relationship was observed between the degree of hearing loss and treatment efficacy grades （ P ＜0.001）， indicating that the more severe the hearing loss， the poorer the treatment outcome （ P ＜0.05）. Notably， the intratympanic group demonstrated superior efficacy compared with the postauricular group in patients with severe and profound hearing loss （ P ＜0.05）. Among patients presenting with vertigo prior to treatment， the postauricular group exhibited a significantly higher response rate than the intratympanic group （ P ＜0.05）， while no statistically significant difference was observed between the two groups in patients with tinnitus （ P ＞0.05）. Regarding coagulation parameters， fibrinogen （FIB） levels and activated partial thromboplastin time decreased or shortened significantly follo wing therapy （ P ＜0.05）， whereas thrombin time （TT） and prothrombin time were significantly prolonged （ P ＜0.05）. Moreover， the postauricular group showed lower FIB levels and longer TT values compared with the intratympanic group （ P ＜0.05）. No significant differences were identified between the two groups in the incidence of gastrointestinal reactions， bleeding manifestations， hepatic or renal dysfunction， or allergic reactions （ P ＞0.05）； however， vestibular adverse reactions occurred more frequently in the intratympanic group （ P ＜0.05）. CONCLUSIONS Compared with intratympanic injection， postauricular dexamethasone injection combined with conventional treatment regimens achieved comparable efficacy in overall hearing improvement in SSNHL patients with all frequency loss. However， the postauricular injection shows potential advantages in vertigo relief， enhancing treatment response in patients with varying degrees of hearing loss， regulating of coagulation function， and declucing of vestibular adverse reactions， while the intratympanic injection may be more suitable for patients with severe hearing loss.

Community general practitioners are the main force of primary health care, however, the lack of effective incentive mechanisms would affect their work enthusiasm. Therefore, to enhance incentive mechanisms,particularly from the perspective of the career development,will improve the work enthusiasm and post competeny of general practitioners in primary health care services. This article summarizes five major influencing factors of the incentives for community general practitioners, namely salary and benefits, performance evaluation, promotion and development, working conditions and interpersonal relationships, and proposes the operational strategies of incentive improvement, to provide reference for improving working conditions and strengthening incentive measures for community general practioners in primary community hospitals.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Community general practitioners are the main force of primary health care, however, the lack of effective incentive mechanisms would affect their work enthusiasm. Therefore, to enhance incentive mechanisms,particularly from the perspective of the career development,will improve the work enthusiasm and post competeny of general practitioners in primary health care services. This article summarizes five major influencing factors of the incentives for community general practitioners, namely salary and benefits, performance evaluation, promotion and development, working conditions and interpersonal relationships, and proposes the operational strategies of incentive improvement, to provide reference for improving working conditions and strengthening incentive measures for community general practioners in primary community hospitals.

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

The technology of three-dimensional(3D)printing emerged in the late 1970s and has since undergone considerable development to find numerous applications in mechanical engineering,industrial design,and biomedicine.In biomedical science,several studies have initially found that 3D printing technology can play an important role in the treatment of diseases in hepatopancreatobiliary surgery.For example,3D printing technology has been applied to create detailed anatomical models of disease organs for preoperative personalized surgical strategies,surgical simulation,intraoperative navigation,medical training,and patient education.Moreover,cancer models have been created using 3D printing technology for the research and selection of chemotherapy drugs.With the aim to clarify the development and application of 3D printing technology in hepatopancreatobiliary surgery,we introduce seven common types of 3D printing technology and review the status of research and application of 3D printing technology in the field of hepatopancreatobiliary surgery.

Objective To observe the effect of different synovial cell secretions on chondrocytes after LPS-induced inflammation,and to explore the mechanism of two synovial cell secretions causing cartilage damage in the progres-sion of KOA disease.Methods Two kinds of synovial cells were co-cultured at 1∶4 and LPS-induced inflamma-tion.The supernatant and exocrine were extracted,and then the normal and LPS-induced inflammation were extrac-ted.The human cartilage tissue obtained during the operation was isolated and cultured into chondrocytes,which were divided into five groups:the first group was added with FLS secretion,the second group was added with nor-mal FLS secretion,the third group was added with secretion after co-culture of two kinds of synovial cells,the fourth group was added with inflammatory MLS secretion,and the fifth group was added with inflammatory FLS se-cretion.CCK-8 was used to detect the viability of chondrocytes in each group.TNF-α,IL-1β,IL-6 level in the su-pernatant of chondrocytes in each group was detected by ELISA.The protein expression of TLR4,NF-κB,IkK,IκB,ADAMTS5 in chondrocytes of each group was detected by Western blot method.Results CCK-8 showed that the activity of chondrocytes in the three groups of inflammatory secretions decreased compared with the secretions from normal synovial cells(P＜0.05);ELISA showed TNF-α,IL-1 β,IL-6 level in the supernatant of group Ⅲ,Ⅳ and V was higher than that of group Ⅰ and Ⅱ(P＜0.05),TNF-α,IL-1 β,IL-6 level in group Ⅲ was higher than that in group Ⅳ but lower than that in group Ⅴ(P＜0.05).Western blot showed the protein expression of TLR4,NF-κB,IkK,IκB,ADAMTS5 in chondrocytes of group Ⅲ,Ⅳ and Ⅴ was higher than that in group Ⅰ and Ⅱ(P＜0.05),the protein expression of TLR4,NF-κB,IkK,IκB,ADAMTS5 in group Ⅲ was higher than that in group Ⅳbut lower than that in group Ⅴ(P＜0.05).Conclusion Two kinds of synovial cell-derived secretions after LPS-induced inflammation can regulate cartilage TLRs/NF-κB signal pathway,causing cartilage inflammation.The in-flammatory effect of MLS secretion is stronger than that of FLS secretion,but the inflammatory effect of MLS secre-tion under two co-cultures is weaker than that of MLS secretion alone.

Humans ; Synovial Fluid ; MicroRNAs/genetics* ; Exosomes/genetics* ; Osteoarthritis/genetics* ; Synovial Membrane

Objective:To explore the factors influencing the extubation time of patients in a persistent vegetative state (PVS) after tracheotomy so as to provide a theoretical basis for early extubation for such patients.Methods:Clinical data were collected on PVS patients after a tracheotomy. The cases were divided into an extubation group and a difficult extubation group according to whether the extubation was successful or not. Version 22.0 of the SPSS software was used to evaluate univariate and multivariate logistic regressions analyzing the factors influencing the success of extubation.Results:The single-factor analysis revealed significant differences between the groups in terms of average age, nursing level, nutrition, swallowing function, hypoalbuminemia and incubation time. Gender, brain injury, stroke, ischemic anoxic encephalopathy and lung infection were not, however, significant predictors. The multivariate logistic regression analysis highlighted nutritional mode, swallowing function, intubation time, pulmonary infection, full-time care and age as independent predictors of extubation success.Conclusions:Intermittent oral to esophageal tube feeding and full-time care are protective factors for extubation of patients in a PVS after a tracheotomy. Swallowing disorders, intubation for more than 30 days, pulmonary infection and greater age are risk factors for unsuccessful extubation. Nutritional support, swallowing function training and intensive nursing can effectively improve the success rate of extubation.

Difference of chronotypes makes influence to cognitive performance of individuals in routine duties. In this paper, 55 subjects with different chronotypes were subjected to continuous sleep deprivation for 30 h by using the constant routine protocol, during which core body temperature was measured continuously, and subjective sleepiness self-rating and the performance of selective attention were measured hourly. The results showed that the phase difference of core body temperature has no significant difference, yet the amplitude and term difference among the three chronotypes are significant. There was an advance in phase between subjective sleepiness self-rating and core body temperature, and the self-rating sleepiness of evening type came the latest, and the self-rating sleepiness of morning type dissipated the fastest. The response time of selective attention showed a 2 h phase delay with subjective sleepiness self-rating. And the analysis of core body temperature showed that the later the chronotype was, the greater the phase delay was. The correct rate of selective attention of different chronotypes were inconsistent with delay of subjective sleepiness self-rating and core body temperature. We provide reference for industry, aviation, military, medical and other fields to make a more scientific scheduling/ shifting based on cognitive performance characteristics of different chronotypes.
Attention/physiology* ; Circadian Rhythm/physiology* ; Homeostasis ; Humans ; Sleep/physiology* ; Sleep Deprivation ; Sleepiness