Treatment of hemolymphangioma by robotic surgery: A case report

BACKGROUND Hemolymphangioma of the jejunum is rare and lacks clinical specificity,and can manifest as gastrointestinal bleeding,abdominal pain,and intestinal obstruction.Computed tomography,magnetic resonance imaging,and other examinations show certain characteristics of the disease,but lack accuracy.Although capsule endoscopy and enteroscopy make up for this deficiency,the diagnosis also still re-quires pathology.CASE SUMMARY A male patient was admitted to the hospital due to abdominal distension and abdominal pain,but a specific diagnosis by computed tomography examination was not obtained.Partial resection of the small intestine was performed by robotic surgery,and postoperative pathological biopsy confirmed the diagnosis of hemo-lymphangioma.No recurrence in the follow-up examination was observed.CONCLUSION Robotic surgery is an effective way to treat hemolymphangioma through minima-lly invasive techniques under the concept of rapid rehabilitation.

Depth of anaesthesia monitors and the latest algorithms

This paper reviews the existing depth of anaesthesia(DoA) monitors and their algorithms and also proposes to improve their performance from four aspects.\n ideal DoA monitor should be able to suggest a personalised drug dosages,to predict and provide early warnings when dosages are inappropriate,to he porlalile and highty cost—effective.The limitations of the existing DoA monitors commonly include unsatisfied data filtering techniques.time delay for the monitoring responses,and inflexible and low noise immunity problems.The latest research results show that their performance can be improved using up—to—date computing technology and neurophysiology.The findings in Chinese market review show that neither the imported nor the Chinese domestic DoA monitors are widely utilised at hospitals.but the demand for DoA monitors is very high.Clearly there is a high demand which encourages the development of a better DoA monitor and its mass production in China.

Signature Based on Six Autophagy-related Genes to Predict Prognosis of Head and Neck Squamous Cell Carcinoma

Objective The present study aimed to develop an autophagy-related gene prognostic prediction model to provide survival risk prediction for head and neck squamous cell carcinoma(HNSCC)patients.Methods The K-mean cluster analysis was performed on HNSCC samples based on the expression values of 210 autophagy-related genes for candidate signature gene selection.LASSO Cox regression analysis was generated using the potential genes and the risk score was calculated from the prognosis model.The risk score was processed as an independent prognostic indicator to construct the nomogram model.The immune status including immune cell infiltration ratio and checkpoints of patients with HNSCC in high-and low-risk groups was also explored.Results LASSO Cox regression analysis was performed on the selected autophagy-related genes.According to the lambda value corresponding to the number of different genes in the LASSO Cox analysis,six genes(GABARAPL2,SAR1A,ST13,GAPDH,FADD and LAMP1)were finally chosen.The risk score based on the genes was generated,which was an independent prognostic marker for HNSCC.The prognostic prediction model(nomogram)was further optimized by the independent prognostic factors(risk score),which can better predict the prognosis and survival of patients.With the risk score and prognosis model,eight types of immune cells and six key immune checkpoints(CTLA4,PD1,IDO1,TDO2,LAG3,TIGIT)displayed expression specificity.Conclusion This study identified several potential prognostic biomarkers and established an autophagy-related prognostic prediction model for HNSCC,which provides a valuable reference for future clinical research.

Clinical and immunological features of convalescent pediatric patients infected with the SARS-CoV-2 Omicron variant in Tianjin, China

COVID-19 has spread surprisingly fast worldwide, and new variants continue to emerge. Recently, the World Health Organization acknowledged a new mutant strain “Omicron”, with children were accounting for a growing share of COVID-19 cases compared with other mutant strains. However, the clinical and immunological characteristics of convalescent pediatric patients after Omicron infection were lacking. In this study, we comparatively analyzed the clinical data from pediatric patients with adult patients or healthy children and the effects of SARSCoV-2 vaccine on the clinical and immune characteristics in convalescent pediatric patients. Our results indicated that convalescent pediatric patients had unique clinical and immune characteristics different from those of adult patients or healthy children, and SARS-CoV-2 vaccination significantly affected on the clinical and immune characteristics and the prevention of nucleic acid re-detectable positive(RP) in convalescent patients. Our study further deepens the understanding of the impact of Omicron on the long-term health of pediatric patients and provides a valuable reference for the prevention and treatment of children infected with Omicron.