Patients with lung cancer experience a heavy symptom burden during the perioperative period, which seriously affects their recovery and quality of life. Traditional symptom management models rely mainly on scheduled ward rounds during hospitalization and outpatient follow-up after discharge. However, they have limitations such as delayed symptom recognition, lack of post-discharge monitoring, and non-quantitative symptom assessment, which often lead to delayed interventions and low patient satisfaction. In recent years, the symptom management model based on electronic patient-reported outcomes (ePRO) has been increasingly valued in clinical practice. Existing high-level evidence from both domestic and international studies indicates that, through proactive monitoring, real-time alerts, and remote interventions, this model enables dynamic and continuous symptom management and helps improve patient recovery and healthcare experience. As a supplement to routine medical care, the ePRO-based symptom management model aims to enhance the quality of care rather than replace existing medical processes. To promote the standardized application of this model in perioperative lung cancer care, this consensus integrates domestic and international evidence. After multiple rounds of voting by more than 50 experts, it formulates 12 consensus statements covering the three core components, symptom monitoring, alerting, and intervention, to provide scientific and practical recommendations for clinical practice.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

OBJECTIVES: To study the effect of prophylactic phenytoin (PHT) or levetiracetam (LEV) on busulfan (BU) blood concentration in children undergoing hematopoietic stem cell transplantation. METHODS: Pediatric patients conditioned with BU plus cyclophosphamide and fludarabine at the First People's Hospital of Chenzhou from September 2023 to February 2025 were retrospectively included. Patients were grouped by prophylactic antiepileptic regimen into PHT (n=24) and LEV (n=26). BU blood concentrations at the end of infusion (0 hour) and at 1, 2, and 4 hours post-infusion were compared between groups. RESULTS: At 0 hour post-infusion, BU blood concentrations did not differ significantly between groups (P>0.05). At 1, 2, and 4 hours post-infusion, BU blood concentrations were higher in the LEV group than in the PHT group (P<0.05). The area under the concentration-time curve from 0 to ∞ (AUC_0-∞) was greater in the LEV group (P<0.001), and the attainment rate of AUC_0-∞ was higher in the LEV group than in the PHT group (73% vs 21%, P<0.001). No significant differences were observed between groups in time to hematopoietic engraftment or in the incidence of BU-related adverse drug reactions (P>0.05). CONCLUSIONS Compared with PHT, LEV prophylaxis is associated with higher BU blood concentration and a higher AUC_0-∞ attainment rate. There is no observed difference in BU efficacy or safety between PHT and LEV.
Humans ; Levetiracetam/therapeutic use* ; Busulfan/pharmacokinetics* ; Hematopoietic Stem Cell Transplantation ; Male ; Female ; Child ; Child, Preschool ; Phenytoin/pharmacology* ; Infant ; Retrospective Studies ; Anticonvulsants/pharmacology* ; Adolescent

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To design an intelligent monitoring platform for adverse drug reactions(ADRs)to solve the problems of the traditional ADR monitoring mode.Methods The ADR intelligent monitoring platform was designed based on artificial intelligence and big data technologies,which was developed with Browser/Server(B/S)architecture,C#programming language and.NET development tool.There were five functional modules involved in the platform for ADR knowledge base,monitoring rule setting,intelligent monitoring,report management and statistical analysis.Results The platform realized the full-process management of ADR intelligent monitoring,reporting,review and statistical analysis,which enhanced the ADR report in quantity,quality and timeliness.Conclusion The platform contributes to improving the monitoring of ADR and patient medication safety.[Chinese Medical Equipment Journal,2025,46(9):33-38]

Objective To investigate the protective effect of placental mesenchymal stem cells(P-MSCs)on pancreatic trauma(PT)in rats.Methods Sixty healthy adult male SD rats were randomly divided into control group,pancreatic trauma group(inject 1 ml of PBS solution locally in the pancreatic injury area and around the trauma area),and P-MSCs group[inject 1 ml of P-MSCs(1×106/ml)locally in the pancreatic injury area and around the trauma area],with 20 rats in each group.The pancreatic trauma rat model was established using a traumatic pressure of 400 kPa.Five rats were sacrificed at 1,3,5,and 7 d after modeling in each group,and serum and pancreatic tissue were collected.HE staining was used to observe the pathological changes of pancreatic tissue and pathological scores were performed.The ELISA method was used to measure the concentrations of serum amylase(AMS),lipase(LPS),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6),IL-10,and transforming growth factor-β1(TGF-β1),as well as the activities of myeloperoxidase(MPO)and superoxide dismutase(SOD)in pancreatic tissue.The TUNEL method was used to observe the level of apoptosis in pancreatic tissue was observed by the TUNEL method.Results Compared with control group,pancreatic trauma group and P-MSCs group showed significant differences after pancreatic trauma,including the generation of peritoneal fluid increased(P<0.05),the ratio of pancreas to body weight and the total score of pancreatic tissue pathological damage increased(P<0.05),and serum levels of AMS,LPS,TNF-α,IL-6,and MPO activity increased early and showed a decreasing trend over time(P<0.05),while anti-inflammatory factors IL-10 and SOD activity showed an increasing trend over time(P<0.01),level of TGF-β1 in the early decline showed an upward trend over time(P<0.01),and the apoptosis index(AI)significantly increased(P<0.001).Compared with pancreatic trauma group,P-MSCs group showed an improvement in the overall morphology of pancreatic tissue,the generation of peritoneal fluid decreased(P<0.001),the pancreas to body weight ratio and the total score of pancreatic tissue pathological damage decreased(P<0.05),and serum levels of AMS,LPS,IL-6,TNF-α and MPO activity returned to normal levels faster(P<0.05);and the rate of anti-inflammatory factors IL-10,TGF-β1 and SOD activity elevation increased(P<0.05),the AI increased(P<0.001).Conclusion P-MSCs can achieve therapeutic effects on pancreatic trauma in rats by promoting pancreatic tissue repair,reducing local and systemic inflammation,improving tissue oxidative stress,and enhancing pancreatic acinar cell apoptosis.

Objective To explore the safety and effectiveness of the robot-assisted system for transforaminal percutaneous endoscopic in the treatment of lumbar disc herniation with lumbar instability.Methods From October 2021 to March 2023,26 patients with single-segment lumbar disc herniation and lumbar spinal instability were treated with robot-assisted system for transforaminal percutaneous endoscopic.The operation time,intraoperative blood loss,incision length,postoperative drainage volume,postoperative ambulation activity time,postoperative hospitalization time were record.The intervertebral space height and the lumbar lordosis angle before and after surgery were observed and compared.Pain level was evaluated using the visual analogue scale(VAS).The clinical efficacy was evaluated by Oswestry disability index(ODI).The interbody fusion was evalu-ated by Brantigan Steffee criteria.Results All patients successfully completed the operation,the operation time ranged form 105 to 109 min with an average of(150.8±24.1)min.Intraoperative blood loss ranged form 35 to 88 ml with an average of(55.5±16.4)ml.Incision length ranged form 1.4 to 3.5 cm with an average of(2.3±0.8)cm.Postoperative drainage volume ranged form 15 to 40 ml with an average of(28.5±7.8)ml.Postoperative ambulation time ranged form 15 to 30 h with an aver-age of(22.8±4.5)h.Postoperative hospitalization time was 3 to 7 d with an average of(4.2±1.3)d.Total of 26 patients were followed up,the duration ranged from 12 to 16 months with an average of(14.0±1.3)months.The VAS and ODI at 1 week[(2.96±0.72)points,(41.63±4.79)％]and 12 months[(1.27±0.60)points,(13.11±2.45)％]were significantly different from those before surgery[(6.69±0.93)points,(59.12±5.92)％],P＜0.0 1.The height of the intervertebral space(11.95±1.47)mm and lumbar lordosis(57.46±7.59)° at 12 months were significantly different from those before surgery[(6.67±1.20)mm,(44.08±7.79)°],P＜0.01.At 12 months after surgery,all patients had no pedicle screw rupture or dislocation of the fusion cage,and the intervertebral fusion was successful.According to Brantigan-Steffee classification,17 cases were grade D and 9 cases were grade E.Conclusion Robot-assisted system for transforaminal percutaneous endoscopic for the treatment of single-segment lumbar disc herniation with lumbar instability improved the accuracy and safety of the operation,and the clinical effect of early follow-up is accurate.

Objective To investigate the correlation between the expression of Toll-like receptor 4(TLR4)and chitosanase 3-like protein 1(CHI3L1)in colon cancer tissue and the prognosis of patients after radical surgery.Methods A total of 152 patients who underwent radical colon cancer surgery in our hospital from January 2017 to May 2018 were collected and divided into the good prognosis group(n=97)and the poor prognosis group(n=47)according to the 5-year survival status after surgery.Immunohistochemical staining was applied to detect the expression levels of TLR4 and CHI3L1 in colon cancer tissues and adjacent tissues;the correlation between the expression of TLR4 and CHI3L1 in colon cancer tissue and the prognosis of patients was analyzed,and the influencing factors for prognosis of colon cancer patients were analyzed.Results The positive expression rates of TLR4 and CHI3L1 in colon cancer tissues were obviously higher than those in adjacent tissues(P<0.05).The expression of TLR4 in colon cancer tissue was related to the degree of tumor differentiation,clinical staging,and lymph node metastasis of colon cancer patients(P<0.05),the expression of CHI3L1 was related to the tumor diameter,degree of tumor differentiation,clinical staging,and lymph node metastasis of colon cancer patients(P<0.05).Compared with the good prognosis group,the poor prognosis group had higher proportions of patients with poorly differentiated tumor,clinical stageⅢ,lymph node metastasis,and positive expression of TLR4 and CHI3L1(P<0.05).The 5-year survival rate of patient with TLR4 positive expression was 60.38%,which was lower than that of 86.84% of patients with TLR4 negative expression(χ2=9.104,P<0.05);the 5-year survival rate of patients with CHI3L1 positive expression was 58.06%,which was lower than that of 84.31% of patients with CHI3L1 negative expression(χ2=10.935,P<0.05).The positive expression of TLR4 and CHI3L1,poorly differentiated tumor,clinical stage Ⅲ,and lymph node metastasis were the independent risk factors for the prognosis of colon cancer patients(P<0.05).Conclusion TLR4 and CHI3L1 are related to the occurrence and clinicopathological features of colon cancer,and the positive expression of TLR4 and CHI3L1 in colon cancer tissues is not conducive to the prognosis of patients,so both of them are expected to become clinical treatment targets.