BACKGROUND:With the development of the concept of minimally invasive surgery,lumbar posterior dynamic internal fixation has become the mainstream operation for the treatment of diseases caused by intervertebral disc degeneration.OBJECTIVE:To review the latest progress of lumbar posterior dynamic internal fixation in the treatment of lumbar degenerative diseases and postoperative intervertebral disc rehydration.METHODS:The relevant literature published in CNKI,WanFang,and PubMed databases from 2010 to 2025 was searched with the Chinese and English search terms"lumbar spine,dynamic internal fixation,intervertebral disc degeneration,Coflex system,Dynesys system,In-space system,PercuDyn system,intervertebral disc rehydration,crushing stress."By reading the articles,we eliminated the literature with little relevance to the article topic,poor quality and outdated content,and finally 65 articles were included for summary.RESULTS AND CONCLUSION:(1)Although the main surgical method for the treatment of disc degeneration is still the traditional open surgical method of implantation,posterior lumbar dynamic internal fixation has made great progress.(2)Posterior lumbar dynamic fixation can be divided into open dynamic fixation system and percutaneous dynamic fixation system.Each system can be divided into interspinous dynamic internal fixation system and pedicle dynamic internal fixation system according to the different fixation positions.According to the design of specific instruments and the differences of operation methods in the surgery,different operation methods have been derived.At present,the focus of research at home and abroad is on open dynamic internal fixation system.(3)Under the premise that the clinical effect of posterior lumbar dynamic internal fixation is better than that of traditional interbody fusion surgery,it can cause the rehydration phenomenon of postoperative lumbar intervertebral disc,and further improve the long-term postoperative efficacy of patients.

BACKGROUND:With the development of the concept of minimally invasive surgery,lumbar posterior dynamic internal fixation has become the mainstream operation for the treatment of diseases caused by intervertebral disc degeneration.OBJECTIVE:To review the latest progress of lumbar posterior dynamic internal fixation in the treatment of lumbar degenerative diseases and postoperative intervertebral disc rehydration.METHODS:The relevant literature published in CNKI,WanFang,and PubMed databases from 2010 to 2025 was searched with the Chinese and English search terms"lumbar spine,dynamic internal fixation,intervertebral disc degeneration,Coflex system,Dynesys system,In-space system,PercuDyn system,intervertebral disc rehydration,crushing stress."By reading the articles,we eliminated the literature with little relevance to the article topic,poor quality and outdated content,and finally 65 articles were included for summary.RESULTS AND CONCLUSION:(1)Although the main surgical method for the treatment of disc degeneration is still the traditional open surgical method of implantation,posterior lumbar dynamic internal fixation has made great progress.(2)Posterior lumbar dynamic fixation can be divided into open dynamic fixation system and percutaneous dynamic fixation system.Each system can be divided into interspinous dynamic internal fixation system and pedicle dynamic internal fixation system according to the different fixation positions.According to the design of specific instruments and the differences of operation methods in the surgery,different operation methods have been derived.At present,the focus of research at home and abroad is on open dynamic internal fixation system.(3)Under the premise that the clinical effect of posterior lumbar dynamic internal fixation is better than that of traditional interbody fusion surgery,it can cause the rehydration phenomenon of postoperative lumbar intervertebral disc,and further improve the long-term postoperative efficacy of patients.

Purpose: This study aimed to evaluate the safety and efficacy of gemcitabine and cisplatin (GP) regimen in combination with immune checkpoint inhibitor sintilimab as neoadjuvant therapy for muscle-invasive bladder cancer (MIBC) patients and the feasibility of the following selective bladder sparing surgery. Materials and Methods: Patients with histopathologically confirmed urothelial carcinoma without distant metastases (T2-4a, N ≤ 1, M0, American Joint Committee of Cancer 8th) and with adequate organ function will be enrolled. The therapeutic regimen was sintilimab 200 mg once on day 8, gemcitabine 1,000 mg/m2 and cisplatin 35 mg/m2 once on days 1 and 8, every 21 days for four cycles. The primary endpoint was pathologic complete response (pCR, pT0N0) rate. The secondary end points were ypT < 2 rate, R0 resection rate, event-free survival, and safety. Results: From May 4, 2020, to May 20, 2023, 55 patients were enrolled. Forty-six patients were evaluated for efficacy. Among the 42 patients who underwent surgery, 16 patients (38.0%) achieved pCR. Thirty-three patients (78.6%) achieved pT < 2. With a median follow-up of 15.7 months, the 1-year event-free survival was 91.3%. Notwithstanding the poor pathological baseline characteristic of a high T3-T4a proportion (39.1%), a promising bladder preservation (including 22 patients transurethral resection of bladder tumor, 5 patients partial cystectomy, and 4 surveillances) rate was achieved (67.4%). The most common grade ≥ 3 treatment-related adverse events was neutropenia (n=15, 27.3%), which was related to chemotherapy. There were no grade 3 immune-related adverse events. Conclusion Neoadjuvant GP plus sintilimab is a promising regimen for MIBC patients, with relatively high pT < 2 rate and triggering the emerging roles for the multi-disciplinary team decision-making for bladder sparing surgery.

ObjectiveTo establish a highly specific and sensitive triplex TaqMan quantitative PCR method for the detection of mouse hepatitis virus (MHV), mouse parvovirus (MPV), and reovirus type 3 (Reo-3) in laboratory mice. MethodsRecombinant plasmid standards were constructed using conserved genomic regions of the three target viruses. Specific primers and probes were designed, and a triplex TaqMan quantitative PCR (qPCR) system was optimized through preliminary experiments. Sensitivity was evaluated using 10-fold serial dilutions (10¹-10⁷ copies/μL). Intra- and inter-assay repeatability were assessed via reproducibility experiments. ResultsA strong linear correlation (R ²>0.99) was observed between copy number and Ct value at template concentrations of 10²-10⁷ copies/μL. Intra-assay and inter-assay coefficients of variation (CV) were both below 5%. No cross-reactivity was observed with mouse cytomegalovirus (MCMV), vesicular stomatitis virus (VSV), Sendai virus (SeV), or pneumonia virus of mice (PVM). ConclusionThe triplex TaqMan quantitative PCR method established in this study has high sensitivity, good repeatability, and strong specificity. It enables the rapid, specific, and sensitive detection of MHV, MPV, and Reo-3, allows the simultaneous detection of multiple pathogens in a single tube, and can be applied to the detection of clinical samples from laboratory animals and to epidemiological investigations, thereby providing effective scientific and technological support for the prevention and control of viral infection and the interruption of transmission.

Objective The relationship between blood pressure variability(BPV)and short-term neurological prognosis in patients with aneurysmal subarachnoid hemorrhage(aSAH)was investigated.Methods The study conducted a retrospective analysis of clinical data from aSAH patients who underwent surgical treatment and were admitted to the ICU at Beijing Tiantan Hospital,Capital Medical University,from January 2023 to April 2024.BPV was quantitively assessed by calculating the standard deviation(SD),successive variation(SV),coefficient of variation(CV),and range of mean blood pressure(MBP).Patients were divided into two group based on discharge GOS scores:good prognosis[Glasgow Outcome Scale(GOS)4-5]and poor prognosis(GOS 1-3)groups.Comparative analyses were performed to evaluate differences in BPV metrics between the two groups,followed by multivariable logistic regression modeling to adjust for potential confounding factors and elucidate the association between BPV and clinical prognosis.Results A total of 150 patients were included,with 59 in the poor prognosis group and 91 in the good prognosis group.The poor prognosis group exhibited significantly elevated levels of MBP-SD[(9.85±3.20)mmHg vs.(8.04±2.31)mmHg,P<0.001],MBP-SV[(10.37±3.85)mmHg vs.(8.07±2.33)mmHg,P<0.001],MBP-CV(10.00±3.30%vs.8.19±2.33%,P<0.001),and MBP-range[(39.60±13.56)mmHg vs.(32.44±9.78)mmHg,P<0.05]compared to the good prognosis group.Cohen’s d values indicated moderate effect sizes for BPV differences(0.65,0.72,0.63,and 0.61,respectively).Multivariable logistic regression showed that MBP-SD(OR=1.22,95%CI:1.08-1.39,P=0.002)and MBP-SV(OR=1.19,95%CI:1.05-1.35,P=0.007)were independently associated with poor prognosis.Conclusion Elevated MBP-SD and MBP-SV within the first 24 hours postoperative period are independent predictors of unfavorable short-term neurological outcomes in aSAH patients.

Objective To explore the value of inflammatory load index(IBI)in the diagnosis and prognosis of gastric cancer patients.Methods Clinical data of patients who underwent gastric cancer surgery in the Department of General Surgery of the Second Hospital of Lanzhou University from January 2016 to December 2018 were retrospectively analyzed,and the patients were divided into the high IBI group and the low IBI group based on the optimal cut-off value of IBI.ROC curve was used to determine the optimal cut-off value of IBI,and the survival curve was constructed using the Kaplan-Meier method,and the differences between groups were examined using the Log-rank test.Cox regression analysis was performed to study the prognostic factors of gastric cancer patients.Results The best cut-off value for IBI diagnosis was 8.796,and the best cut-off value for prognosis was 28.75.IBI was related to the clinical case characteristics of gastric cancer patients,such as surgical access,the degree of differentiation,CK7,CK20,LMP-1,and Ki-67(P＜0.05).The results of univariate analysis showed that intraoperative bleeding,preoperative CEA,preoperative CA125,preoperative CA199,IBI,tumor diameter size,margins of incision,vascular invasion,nerve invasion,pT stage and pN stagewere the influencing factors on the prognosis of gastric cancer patients(P＜0.05).The results of multifactorial regression analysis showed that intraoperative bleeding,preoperative CEA,preoperative CA199,IBI,tumor diameter size,pT stage and pN stagewere independent risk factors affecting the prognosis of gastric cancer patients(P＜0.05).The median OS of patients in the high IBI group and low IBI group were 32.9 months and 74.8 months,respectively,with statistically significant differences(P＜0.001).Conclusion IBI is an independent risk factor for poor prognosis of patients with gastric cancer,and it has a good predictive value in diagnosis and prognosis.

Objective To establish an evaluation indicator system for pharmacovigilance(PV)work in medical institutions of Fujian province,and provide a reference for the PV work in healthcare facilities.Methods Based on literature analysis and interpretation of policies and regulations,combined with the practical pharmacovigilance work in Fujian province,a preliminary indicator system was constructed.Following this,three rounds of expert consultation were conducted,including two rounds of the Delphi method to determine the content of the index system,and one round of the Analytic Hierarchy Process(AHP)to determine the weights of each index.Results A total of 9 primary indicators,23 secondary indicators,and 59 tertiary indicators were selected for the evaluation of pharmacovigilance work in health facilities of Fujian province,including pharmacovigilance organizational structure,human resources,equipment resources,development and documentation of the quality management system's procedural documents,Performance indicators for monitoring and reporting,risk identification,assessment,control and research capabilities.The consensus coefficients for three rounds of consultation with experts were 100％,100％,and 100％.The average authority coefficient of the experts was 0.878,and the expert coordination coefficients for the two rounds of Delphi method were 0.081 and 0.343,respectively(P＜0.001).In the AHP,the weight vector for primary indicators ranged from 0.023 to 0.263,with a maximum eigenvalue of 9.195.The weight vector values of the secondary indicators were from 0.096 to 1.000,and the maximum eigenvalues were 3.018-4.061;The weight vectors of the tertiary indicators were 0.143 to 1.000,and the maximum eigenvalues were from 3.000 to 5.078.The consistency ratio(CR)of each judgment matrix was between 0 and 0.051.Conclusions The constructed indicator of capability assessment model,integrating regulatory functions and the practical situation of medical institutions,can be used by regulatory authorities to assess pharmacovigilance work in medical institutions.It provides a solid reference for improving the pharmacovigilance capabilities of medical institutions in Fujian province.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.

Objective To establish an evaluation indicator system for pharmacovigilance(PV)work in medical institutions of Fujian province,and provide a reference for the PV work in healthcare facilities.Methods Based on literature analysis and interpretation of policies and regulations,combined with the practical pharmacovigilance work in Fujian province,a preliminary indicator system was constructed.Following this,three rounds of expert consultation were conducted,including two rounds of the Delphi method to determine the content of the index system,and one round of the Analytic Hierarchy Process(AHP)to determine the weights of each index.Results A total of 9 primary indicators,23 secondary indicators,and 59 tertiary indicators were selected for the evaluation of pharmacovigilance work in health facilities of Fujian province,including pharmacovigilance organizational structure,human resources,equipment resources,development and documentation of the quality management system's procedural documents,Performance indicators for monitoring and reporting,risk identification,assessment,control and research capabilities.The consensus coefficients for three rounds of consultation with experts were 100％,100％,and 100％.The average authority coefficient of the experts was 0.878,and the expert coordination coefficients for the two rounds of Delphi method were 0.081 and 0.343,respectively(P＜0.001).In the AHP,the weight vector for primary indicators ranged from 0.023 to 0.263,with a maximum eigenvalue of 9.195.The weight vector values of the secondary indicators were from 0.096 to 1.000,and the maximum eigenvalues were 3.018-4.061;The weight vectors of the tertiary indicators were 0.143 to 1.000,and the maximum eigenvalues were from 3.000 to 5.078.The consistency ratio(CR)of each judgment matrix was between 0 and 0.051.Conclusions The constructed indicator of capability assessment model,integrating regulatory functions and the practical situation of medical institutions,can be used by regulatory authorities to assess pharmacovigilance work in medical institutions.It provides a solid reference for improving the pharmacovigilance capabilities of medical institutions in Fujian province.

Objective To enhance the efficiency and accuracy of post-marketing safety monitoring and evaluation of drugs in China by studying large language models-based patient medical record pharmacovigilance profiling techniques,providing scientific methods and technical support to ensure the safe use of drugs for patients.Methods This study constructs a pharmacovigilance profile that includes individual patient differences,medication details,and adverse reaction manifestations.It enhances a large language model with a knowledge graph in the field of pharmacovigilance and designs targeted prompts to guide the model to output pharmacovigilance profiles.Results Large language models demonstrate significant advantages in active monitoring,effectively processing and analyzing medical text data,and improving the monitoring and prediction capabilities of drug adverse reactions.Through the design of prompts,the model can more accurately depict patient pharmacovigilance profiles,providing decision support for medical professionals.Conclusions The study of large language model-based patient medical record pharmacovigilance profiling technology provides scientific evidence and technical support for the early detection and prevention of drug adverse reactions,helping to reduce medical costs,improve medical outcome prognoses,and opens new paths to ensure patient drug safety.