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.

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

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]

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 infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93％and a HCV positive rate of 0.54％.The positive rate of HCV in male and female patients were 0.60％and 0.48％,respectively,with a statistically sig-nificant difference(x2=47.18,P＜0.001).The HCV positive rate in the 50-＜60 age group was the highest(0.76％),followed by the 40-＜50 age group(0.71％).Difference among all age groups was statistically signifi-cant(x2=696.74,P＜0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57％;775 patients were infected with HCV,with a positive rate of 2.21％.In 2020,HCV positive rates in hospitals of different scales were 0.46％-0.63％,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P＜0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19％-0.81％,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06％-0.82％,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95％and 3.48％,respectively.Followed by departments of orthopedics(7.72％),gastroenterology(3.77％),nephrology(3.57％)and general intensive care unit(ICU,3.10％)in 2003,as well as departments of gastroenterology(1.35％),nephrology(1.18％),endocrinology(0.91％),and general intensive care unit(ICU,0.79％)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.

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.