BACKGROUND: Telesurgery has the potential to overcome spatial limitations for surgeons, which depends on surgical robot and the quality of network communication. However, the influence of network latency and bandwidth on telesurgery is not well understood. METHODS: A telesurgery system capable of dynamically adjusting image compression ratios in response to bandwidth changes was established between Beijing and Sanya (Hainan province), covering a distance of 3000 km. In total, 108 animal operations, including 12 surgical procedures, were performed. Total latency ranging from 170 ms to 320 ms and bandwidth from 15-20 Mbps to less than 1 Mbps were explored using designed surgical tasks and hemostasis models for renal vein and internal iliac artery rupture bleeding. Network latency, jitter, frame loss, and bit rate code were systemically measured during these operations. National Aeronautics and Space Administration Task Load Index (NASA-TLX) and a self-designed scale measured the workload and subjective perception of surgeons. RESULTS: All 108 animal telesurgeries, conducted from January 2023 to June 2023, were performed effectively over a total duration of 3866 min. The operations were completed with latency up to 320 ms and bandwidths as low as 1-5 Mbps. Hemostasis for vein and artery rupture bleeding models was effectively achieved under these low bandwidth conditions. The NASA-TLX results indicated that latency significantly impacted surgical performance more than bandwidth and image clarity reductions. CONCLUSIONS This telesurgery system demonstrated safety and reliability. A total of 320 ms latency is acceptable for telesurgery operations. Reducing image clarity can effectively mitigate the potential latency increase caused by decreased bandwidth, offering a new method to reduce the impact of latency on telesurgery.
Animals ; Robotic Surgical Procedures/methods* ; Laparoscopy/methods*

OBJECTIVE To investigate the selection strategy for recipient vessels in free flap reconstruction of head and neck defects.METHODS A retrospective analysis was conducted on 96 patients who underwent 99 free flap reconstructions for head and neck defects between January 2020 and December 2024.Recipient vessel selection,flap survival,and postoperative complications were analyzed based on defect location and flap type.RESULTS In 99 cases microvessel anastomosis,the recipient arteries were superior thyroid artery in 49 branches,facial artery in 28 branches,superficial temporal artery in 14 branches,lingual artery in 5 branches.external carotid artery in 1 branch,transverse cervical artery in 1 branch,and superior laryngeal artery in 1 branch.Venous anastomosis was performed in 104 branches,with 94 cases in 1 venous anastomosis and 5 cases in 2 venous anastomoses.The recipient veins selected were facial vein in 62 branches,external jugular vein in 21 branches,superficial temporal vein in 12 branches,retromandibular vein in 3 branches,middle thyroid vein in 2 branches,internal jugular vein in 2 branches,middle temporal vein in 1 branch,and superior thyroid vein in 1 branch.Complete flap necrosis occurred in 5 cases,and partial necrosis occurred in 4 cases.When the recipient vessels were deficient,the lingual artery was chosen in 3 cases,the facial artery in 1 case,the external jugular vein in 3 cases,the internal jugular vein with end-to-side anastomosis in 1 case,and the common facial vein with end-to-side anastomosis in 1 case.CONCLUSION In free flap reconstruction for head and neck defects,the superior thyroid artery,facial artery,and superficial temporal artery are commonly used as recipient arteries,while the facial vein,external jugular vein,and superficial temporal vein are frequently selected as recipient veins.When recipient vessels are scarce,the ipsilateral lingual artery,transverse cervical artery,and main trunk of the internal jugular vein can serve as alternative recipient vessels.

OBJECTIVE To explore the application of the facial artery musculomucosal(FAMM)flap for the reconstruction of head and neck defects.METHODS A retrospective analysis of 9 patients with head and neck defects reconstructed with the FAMM at the Department of Otolaryngology Head and Neck Surgery,Beijing Tongren Hospital,Capital Medical University,between May 2019 and March 2024.Data regarding defect location,flap size,and postoperative complications were analyzed.RESULTS The defect locations among the nine patients were as follows:hard palate(3 cases),soft palate(2 cases),nasal septum and columella(1 case),oropharyngeal lateral wall(1 case),retromolar region and oropharyngeal lateral wall(1 case),and lower lip(1 case).The FAMM flap sizes ranged from 1.5 cm×2.5 cm to 4 cm×6 cm.Primary closure of the donor site was achieved by direct intermittent suturing in 7 cases;one case was repaired using acellular dermal matrix,and 1 case was repaired using a buccal fat pad graft.Postoperatively,eight flaps survived completely,while 1 flap experienced necrosis.None of the patients developed trismus or malocclusion.CONCLUSION The FAMM flap is suitable for reconstructing defects of the hard palate,soft palate,lower lip or oropharyngeal lateral wall.With reliable blood supply and an intraoral donor site,it offers relatively favorable aesthetic outcomes and is worthy of widespread adoption.

OBJECTIVE To evaluate the quality and existing problems of Compound Paracetamol and Chlorphenamine Tablets for Infant. METHODS Using legal standards to inspect sampled samples, and several analytical methods were subsequently established or improved for the exploratory research on related substances, assay, dissolution, subdivision characteristics of scored tablets, and genotoxic impurities. RESULTS All samples met the regulatory specification, and the pass rate was 100%. However, the control for related substances was lacking, and the method for assay and content uniformity was defective. The exploratory studies showed that the assay and content uniformity met the requirements, and the risk of related substances and genotoxic impurities was acceptable. As a divisible tablet, the subdivision characteristics could not meet the requirements of the scored tablet, and the dissolution performance of some enterprise samples could not meet the requirements of similar products in foreign pharmacopoeias. CONCLUSION The overall quality of this product is adequate. However, due to the early time on the market, some quality attributes no longer meet the requirements of current regulations or relevant guidelines. The manufacturers should further optimize the prescription and production process, referring to foreign similar products. The current specification needs to be revised and improved.

Objective:To explore the classification and influencing factors of family resilience and post-traumatic growth in patients with spinal tumor.Methods:A cross-sectional investigation was conducted among 219 inpatients with spinal tumor admitted from July 2021 to July 2022. The General Demographic Information questionnaire, Chinese-Family Resilience Assessment Scale, Posttraumatic Growth Inventory, Family Crisis-Oriented Personal Evaluation Scales (F-COPES), and Social Support Rating Scale (SSRS) were used in the study. The ordinal and multivariate logistic regression analyses was applied to identify the factors associated with the classification of family resilience and post-traumatic growth.Results:Of the 219 patients, there were 62 cases of primary spinal tumors (28.3%). According to the results of latent profile analysis, the respondents were classified into three categories by family resilience and post-traumatic growth, namely family difficulty-resistant type ( n=38, 17.4%), general resilience-struggle type ( n=99, 45.2%) and family adaptation-growth type ( n=82, 37.4%). There were significant differences in occupational status, commitment to housework, family atmosphere( χ2=10.75, P=0.025; χ2=6.95, P=0.031; χ2=11.37, P=0.017), and total score of F-COPES and SSRS ( F=25.95, P<0.001; F=19.06, P<0.001)among three groups. Ordinal and multivariate logisitc regression analyses showed that retirement ( OR=2.928, 95% CI:1.098-7.808, P<0.05), family coping ( OR=1.113, 95% CI:1.063-1.165, P<0.05), and social support ( OR=1.226, 95% CI:1.103-1.362, P<0.05) were independently associated with family resilience and post-traumatic growth in patients with spinal tumor. Conclusion:Patients with spinal tumor have significant differences in characteristics by family resilience and post-traumatic growth. As a result, more targeted interventions should be provided for different categories of spinal tumor patients in the future.

Receptor-interacting serine/threonine-protein kinase 1 (RIPK1) functions as a key regulator in inflammation and cell death and is involved in mediating a variety of inflammatory or degenerative diseases. A number of allosteric RIPK1 inhibitors (RIPK1i) have been developed, and some of them have already advanced into clinical evaluation. Recently, selective RIPK1i that interact with both the allosteric pocket and the ATP-binding site of RIPK1 have started to emerge. Here, we report the rational development of a new series of type-II RIPK1i based on the rediscovery of a reported but mechanistically atypical RIPK3i. We also describe the structure-guided lead optimization of a potent, selective, and orally bioavailable RIPK1i, 62, which exhibits extraordinary efficacies in mouse models of acute or chronic inflammatory diseases. Collectively, 62 provides a useful tool for evaluating RIPK1 in animal disease models and a promising lead for further drug development.

Objective To study the expression of thyroid hormone receptor binding protein 4(TRIP4)and DNA damage inducing transcription factor 4(DDIT4)in glioma tissue and their relationship with clinical pathological characteristics and prognosis.Methods 94 glioma patients admitted to the First Hospital of Hebei Medical University from February 2018 to February 2019 were selected as the research subjects.The expression of TRIP4,DDIT4 proteins in tissues were detected by immunohistochemistry.The relationship between the expression of TRIP4,DDIT4 proteins in glioma tissues and clinical pathological characteristics were compared.The differences in survival prognosis of glioma patients with different levels of TRIP4,DDIT4 protein expression were analyzed by Kaplan-Meier survival curve.Univariate and multivariate COX regression analysis was conducted to analyze the factors affecting the survival prognosis of glioma patients.Results The positive rates of TRIP4(68.09%),DDIT4(65.96%)proteins in glioma tissues were higher than those in adjacent tissues(13.83%,10.64%),with statistically significant differences(χ2=57.212,60.866,all P<0.05).There was a significant positive correlation between TRIP4 and DDIT4 protein expression in glioma tissues(r=0.722,P<0.05).The positive rates of TRIP4(83.64%vs 46.15%,80.00%vs 51.28%)and DDIT4(80.00%vs 46.15%,76.36%vs 51.28%)proteins in glioma tissues with tumor diameter≥3cm,WHO grade Ⅲ were significantly higher than those in tissues with tumor diameter＜3cm,WHO grade Ⅰ～Ⅱ(χ2=6.393～14.754,P<0.05).The 3-year overall survival rates of the TRIP4 positive and negative expression groups were 37.50%(24/64)and 66.67%(20/30),respectively.The 3-year cumulative survival of the TRIP4 positive expression group was significantly lower than that in the TRIP4 negative expression group(Log-rank χ2=5.949,P=0.015).The 3-year overall survival rate of DDIT4 positive and negative expression group was 37.10%(23/62)and 70.00%(21/30),respectively.The 3-year cumulative survival of the DDIT4 positive expression group was significantly lower than that in the DDIT4 negative expression group(Log-rank χ2=7.642,P=0.006).Tumor diameter≥3cm(HR=1.614,P=0.000),WHO grade Ⅲ(HR=1.790,P=0.000),positive TRIP4(HR=1.665,P=0.000)and positive DDIT4(HR=1.476,P=0.000)were independent risk factors affecting the survival prognosis of glioma patients.Conclusion The expression of TRIP4 and DDIT4 protein in glioma tissue was increased.Both of them were related to tumor diameter and WHO grade,and are potential tumor markers for survival prognosis of glioma.

Objective:To construct a risk prediction model for the inter-hospital transfer of critically ill children using machine learning methods, identify key medical features affecting transfer outcomes, and improve the success rate of transfers.Methods:A prospective study was conducted on critically ill children admitted to the pediatric transfer center of Hunan Children's Hospital from January 2020 to January 2021. Medical data on critical care features and relevant data from the Pediatric Risk of Mortality (PRISMⅢ) scoring system were collected and processed. Three machine learning models, including logistic regression, decision tree, and Relief algorithm, were used to construct the risk prediction model. A back propagation neural network was employed to build a referral outcome prediction model to verify and analyze the selected medical features from the risk prediction model, exploring the key medical features influencing inter-hospital transfer risk.Results:Among the 549 transferred children included in the study, 222 were neonates (40.44%) and 327 were non-neonates (59.56%). There were 50 children in-hospital deaths, resulting in a mortality rate of 9.11%. After processing 151 critical care medical feature data points, each model selected the top 15 important features influencing transfer outcomes, with a total of 34 selected features. The decision tree model had an overlap of 72.7% with PRISMⅢ indicators, higher than logistic regression (36.4%) and Relief algorithm (27.3%). The training prediction accuracy of the decision tree model was 0.94, higher than the accuracy of 0.90 when including all features, indicating its clinical utility. Among the top 15 important features selected by the decision tree model, the impact on transfer outcomes was ranked as follows based on quantitative feature violin plots: base excess, total bilirubin, ionized calcium, total time, arterial oxygen pressure, blood parameters (including white blood cells, platelets, prothrombin time/activated partial thromboplastin time), carbon dioxide pressure, blood glucose, systolic blood pressure, heart rate, organ failure, lactate, capillary refill time, temperature, and cyanosis. Eight of these important features overlapped with PRISMⅢ indicators, including systolic blood pressure, heart rate, temperature, pupillary reflex, consciousness, acidosis, arterial oxygen pressure, carbon dioxide pressure, blood parameters, and blood glucose. The decision tree was used to select the top 15 medical features with high impact on the neonatal and non-neonatal datasets, respectively. A total of 19 features were selected, among which there were 8 differences and 11 overlap terms between the important features of the neonatal and non-neonatal.Conclusions:Machine learning models could serve as reliable tools for predicting the risk of inter-hospital transfer of critically ill children. The decision tree model exhibits superior performance and helps identify key medical features affecting inter-hospital transfer risk, thereby improving the success rate of inter-hospital transfers for critically ill children.