Vascular endothelial growth factor (VEGF) inhibitors are drugs that target and inhibit tumor angiogenesis. By blocking the signaling pathway of VEGF and its receptor, they suppress tumor proliferation and play a crucial role in tumor treatment. However, their side effects, such as hypertension, proteinuria, hand-foot skin reactions, and myelosuppression, during treatment seriously affect patients' treatment compliance and quality of life. The development of intervention strategies for the side effects of VEGF inhibitors is of great importance for tumor treatment. This article reviews the clinical characteristics and toxic mechanisms of common side effects caused by VEGF inhibitors during tumor treatment and summarizes intervention strategies that combine traditional Chinese and Western medicines. Drug dosages were precisely monitored and adjusted to achieve antitumor treatment. Patients' discomfort symptoms are improved through prescriptions that act by tonifying qi and promoting blood circulation, strengthening the spleen, and tonifying the kidney. The combination of traditional Chinese and Western medicines is used to treat patients, thus providing a safe and effective treatment plan for patients with cancer.

BACKGROUND:One-hole split endoscope as a new type of endoscopic technique is suitable for the treatment of far lateral lumbar disc disease.However,there are few research data on L5/S1,which has a very low incidence of far lateral lumbar disc herniation at home and abroad,and there is no detailed image anatomical data describing the one-hole split endoscope treatment of L5/S1 far lateral lumbar disc herniation. OBJECTIVE:Through the three-dimensional image reconstruction,the bony landmarks were determined to accurately locate the positional relationship between the L5 outlet nerve root,the L5/S1 intervertebral space and other structures.One-hole split endoscope via posterolateral approach was used to accurately,safely and effectively decompress the L5 outlet nerve root and treat the L5/S1 far lateral lumbar disc herniation. METHODS:Twenty-nine patients with L5/S1 unilateral far lateral lumbar disc herniation who met the inclusion and exclusion criteria were selected,including 12 males and 17 females at the age of 48-74 years.The lumbar CT data of the patients were imported into Mimics 21.0 software to reconstruct the three-dimensional lumbar model.Measurement of L5/S1 related parameters:(1)Measurement on the sagittal plane at the intersection(H)of the lower edge of the transverse process and the lateral edge of the isthmus:The vertical distance between H and the upper and lower edges of L5 outlet nerve root(a1,a2);the vertical distance between H and the lower endplate of L5 and the upper endplate of S1(b1,b2);vertical distance from the lower edge of the pedicle from H to L5(c).(2)Horizontal distance between the left and right sides of the sagittal surface where the medial wall of the pedicle was located from H to L5(d).(3)The horizontal distance from H to the left and right side of the sagittal plane where the lateral margin of the dura was located(e).(4)Horizontal distance(f)between the left and right sides of the sagittal plane at the outermost edge of the lower endplate from H to L5.(5)Measurements were made on the sagittal plane where the outermost edge of the lower endplate of L5:The vertical distance between the cross section of H and the upper and lower edges of L5 outlet nerve root(g1,g2);vertical distance(h1,h2)between the transverse section of H and the lower endplate of L5 and the upper endplate of S1,respectively;(6)anteroposterior horizontal distance from H to L5 in the coronal plane where the last edge of the nerve root exits(i);(7)anteroposterior horizontal distance from the highest point of the posterior margin of the sacral wing to the last margin of the inferior endplate of L5 in the coronal plane(j). RESULTS AND CONCLUSION:(1)There was no significant difference in the relevant measurement parameters between men and women(P>0.05).(2)a1,a2,b1,b2,c,d,e,f,h1,h2,g1,g2,i,and j on the affected side were not significantly different from the healthy side(P>0.05).(3)There was no significant difference between a1 and c(P>0.05),indicating that the lower edge of the pedicle was the upper edge of the L5 outlet nerve root;the L5 outlet nerve root was close to the lower edge of the pedicle and ran anterolateral behind the L5 vertebral body,and H was located above the L5 outlet nerve root.(4)With H as the bony marker point,it was not necessary to probe upward or to remove the isthmus,but only to grind part of the bone downward and laterally to reveal the L5 outlet nerve root and vertebral space,and to have enough safe distance to avoid damage to the dural membrane to complete exploration and decompression of the lateral recess and foraminal region.(5)The surgeon could operate in the sagittal plane where the most lateral edge of the L5 inferior endplate was located,and in the"rectangular area"formed by the L5 transverse process and the sacral wing.The closer to the medial and inferior area(Kambin triangle),the safer the operation was.(6)It is suggested that using H as the bony landmark point to locate the L5 outlet nerve root and intervertebral space through one-hole split endoscope via posterolateral approach can achieve accurate,safe and effective decompression of L5/S1 far lateral lumbar disc herniation.

Chronic liver disease remains a severe threat to human health. Furthermore, if left untreated promptly and effectively, it may gradually develop into end-stage liver disease, including decompensated cirrhosis and liver failure. Currently, mesenchymal stem cell technology is acting as a kind of an emerging treatment method, and multiple clinical trials have confirmed its promising application prospects in the treatment of decompensated cirrhosis and liver failure. Hence, stem cell therapy may offer a novel therapeutic option for these patients. This article summarizes the clinical research progress of stem cell therapy for decompensated cirrhosis and liver failure and analyzes present challenges and application prospects.

In this paper, the causes of dimethylacetamide poisoning in a small and micro enterprise were analyzed through on-site occupational health investigation, clinical data summary of poisoned patients and occupational hazard factors detection results. The incident was a group poisoning incident caused by exposure to dimethylacetamide, resulting in different degrees of toxic liver disease in 6 workers. Although the concentration of dimethylacetamide in the air in the workplace was excessive, percutaneous absorption may be the main cause of poisoning. The characteristics of percutaneous absorption of dimethylacetamide need to be paid great attention to, which can be used for reference to prevent similar incidents in the future.

OBJECTIVE To investigate the epidemiological characteristics of infections in hemodialysis patients so as to provide bases for prevention and control of the infections in the hemodialysis patients.METHODS The patients who underwent maintenance hemodialysis in blood purification rooms of the Fifth Affiliated Hospital of Zhengzhou University in the first two working days each month from 2018 to 2022 were recruited as the research subjects.The incidence of hemodialysis-related events among the hemodialysis patients,including intravenous use of antibiotics,positive blood culture,exacerbation of pus,redness or swellings emerging at vascular access sites,were prospectively investigated.RESULTS A total of 386 case-times of hemodialysis-related events were moni-tored in 2018-2022,including 20 case-times of bloodstream infections,354 case-times of intravenous use of antibi-otics and 12 case-times of exacerbation of pus,redness or swellings emerging at vascular access sites.The inci-dence of hemodialysis-induced events was 4.19 per 100 patients each month,the average incidence rate of blood-stream infections was 0.22 per 100 patients each month.The patients with tunneled central venous catheter were 40.69 times the risk of bloodstream infections as the patients with intestinal fistula(95％CI:9.725～361.703,P＜0.001).The incidence of bloodstream infections was decreased by 53.85％among the hemodialysis patients in 2022 as compared with that in 2018.Staphylococcus aureus was the predominant species of pathogens causing the bloodstream infections.CONCLUSIONS The hemodialysis patients are the population at high risk of infections.The incidence of bloodstream infections and other infections is higher among the patients with tunneled central venous catheters than among the patients with other types of vascular accesses.The monitoring of hemodi-alysis-related infection events may reduce the incidence of bloodstream infections.

SARS-CoV-2 and its emerging variants continue to pose a significant global public health threat. The SARS-CoV-2 main protease (M^pro) is a critical target for the development of antiviral agents that can inhibit viral replication and transcription. In this study, we identified chebulagic acid (CHLA), isolated from Terminalia chebula Retz., as a potent non-peptidomimetic and non-covalent M^pro inhibitor. CHLA exhibited intermolecular interactions and provided significant protection to Vero E6 cells against a range of SARS-CoV-2 variants, including the wild-type, Delta, Omicron BA.1.1, BA.2.3, BA.4, and BA.5, with EC₅₀ values below 2 μmol/L. Moreover, in vivo studies confirmed the antiviral efficacy of CHLA in K18-hACE2 mice. Notably, CHLA bound to a unique groove at the interface between M^pro domains I and II, which was revealed by the high-resolution crystal structure (1.4 Å) of the M^pro-CHLA complex, shrinking the substrate binding pocket of M^pro and inducing M^pro aggregation. CHLA was proposed to act as an allosteric inhibitor. Pharmacokinetic profiling and safety assessments underscore CHLA's potential as a promising broad-spectrum antiviral candidate. These findings report a novel binding site on M^pro and identify antiviral activity of CHLA, providing a robust framework for lead compounds discovery and elucidating the underlying molecular mechanisms of inhibition.

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Drug repurposing offers a promising alternative to traditional drug development and significantly re-duces costs and timelines by identifying new therapeutic uses for existing drugs.However,the current approaches often rely on limited data sources and simplistic hypotheses,which restrict their ability to capture the multi-faceted nature of biological systems.This study introduces adaptive multi-view learning(AMVL),a novel methodology that integrates chemical-induced transcriptional profiles(CTPs),knowledge graph(KG)embeddings,and large language model(LLM)representations,to enhance drug repurposing predictions.AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning(MVL),matrix factorization,and ensemble optimization techniques to integrate heterogeneous multi-source data.Comprehensive evaluations on benchmark datasets(Fdata-set,Cdataset,and Ydataset)and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art(SOTA)methods,achieving superior accuracy in predicting drug-disease associations across multiple metrics.Literature-based validation further confirmed the model's predictive capabilities,with seven out of the top ten predictions corroborated by post-2011 evidence.To promote transparency and reproducibility,all data and codes used in this study were open-sourced,providing resources for pro-cessing CTPs,KG,and LLM-based similarity calculations,along with the complete AMVL algorithm and benchmarking procedures.By unifying diverse data modalities,AMVL offers a robust and scalable so-lution for accelerating drug discovery,fostering advancements in translational medicine and integrating multi-omics data.We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

Objective:To apply quality function deployment(QFD)method to formulate management strategy for usage quality of medical equipment,so as to provide a reference for ensuring the safety of using medical equipment.Methods:A questionnaire about the guarantee for the requirement of usage quality of medical equipment was designed,so as to obtain the information of the users of clinical department of The Affiliated Xinghua Hospital to Kangda College of Nanjing Medical University for the requirement of usage quality of medical equipment in using medical equipment from February to April 2024,and confirm the important degree of the requirement.Then,the QFD method was adopted to convert the requirements of users for medical equipment to the required technical indicators of guaranteeing usage quality of medical equipment,and the priority technical guarantee measures of the important degree were quantitatively obtained.Results:A total of 478 questionnaires were issued,and 442 valid questionnaires were retrieved,and the valid recovery rate of questionnaire was 92.47%.The questionnaire identified and analyzed 12 requirements of three dimensions of users in using medical equipment,and they were converted to the top six technical guarantee measures of the strategy of quality management of using medical equipment,which included equipment function,criticality of equipment mission,type of service provider,compliance of rules and regulations,requirements of maintenance,and service life.Conclusion:QFD method can help medical engineering department to establish a management system of usage quality with quantitative analysis for medical equipment,and enhance the management level for the quality of medical equipment in medical institutions,and realize maximize benefit of medical equipment.

Objective To observe the value of changes of neutrophil-to-lymphocyte ratio(NLR)before and after the first interventional treatment of hepatocellular carcinoma(HCC)for predicting patient's overall survival(OS).Methods Totally 92 HCC patients who underwent the first time TACE or TACE+hepatic artery infusion chemotherapy(HAIC)were retrospectively enrolled.The patients were divided into NLR ratio(NLRR)＜1.29 group(n=54)and≥1.29 group(n=38)based on the ratio of NLR after to before treatment,also ΔNLR＜0.87 group(n=60)and≥0.87 group(n=32)based on the difference of NLR after and before treatment.Clinical data were compared between groups,survival analysis was performed,and the value of NLRR and ΔNLR for predicting OS were analyzed.Results No significant difference of clinical data was found between NLRR＜1.29 and≥1.29 groups,nor between ΔNLR＜0.87 and≥0.87 groups(all P＞0.05).The median OS of 92 patients was 30.90 months,which in NLRR＜1.29 group(55.10 months)was longer than that in NLRR≥1.29 group(22.30 months,P=0.005),while in ΔNLR＜0.87 group(55.10 months)was longer than that in ΔNLR≥0.87 group(14.20 months,P=0.003).Cox regression analysis showed that the maximum diameter of tumor≥5 cm,distant metastasis,ascites,NLRR≥1.29 and ΔNLR≥0.87 were all independent risk factors of OS(all P＜0.05).Taken 1.29 and 0.87 as the best cut-off value,respectively,the area under the curve of NLRR and ΔNLR for predicting OS was 0.620 and 0.610,respectively.Conclusion NLRR and ΔNLR were helpful for predicting OS of HCC patient after the first interventional treatment.