Objective To investigate the risk factors associated with postoperative pulmonary infection after pancreaticoduodenectomy(PD)and construct a predictive model for guiding early clinical intervention.Methods A retrospective analysis was carried out on 220 patients who underwent PD at the First Affiliated Hospital of Xinjiang Medical University between January 2022 and October 2024.Cases with preoperative pulmonary infection,incom-plete data,or perioperative mortality were excluded.Preoperative,intraoperative,and postoperative clinical data were meticulously collected.Univariate analysis was employed to screen potential risk factors,and multivariate logistic regression was utilized to identify independent risk factors.Subsequently,a nomogram prediction model was constructed.Results Pulmonary infection occurred in 84 patients(38.2%)following surgery.Multivariate analysis indicated that a high body mass index(BMI)(OR=1.12,95%CI:1.02～1.23,P<0.05),low albumin levels on postoperative day 3(OR=0.91,95%CI:0.83～0.99,P<0.05),an extended retention time of the postoperative abdominal drainage tube(OR=1.05,95%CI:1.01～1.09,P<0.05),a prolonged postoperative bed rest duration(OR=1.56,95%CI:1.22～1.99,P<0.05),and the occurrence of non-pulmonary complications(OR=2.23,95%CI:1.05～4.75,P<0.05)were independent risk factors for pulmonary infection.The prediction model attained an area under the receiver operating characteristic curve(AUC)of 0.82(95%CI:0.76～0.88),with the calibration curve showing a good fit.After internal validation,the AUC remained stable at 0.80(95%CI:0.71～0.88),validating the robust predictive ability of the model.Conclusions Elevated BMI,low postoperative albumin levels,extended retention time of the abdominal drainage tube,prolonged duration of bed rest,and non-pulmonary complications are identified as independent risk factors for pulmonary infection following PD.The established risk prediction model demonstrates robust predictive capabilities,thereby furnishing a foundation for individualized risk assessment and targeted preventive strategies.

Objective To investigate the value of a combined model incorporating clinical parameters,conventional metabolic pa-rameters of 18F-PSMA PET/CT,and radiomics features in the early prediction of clinically significant prostate cancer(csPCa).Methods A retrospective analysis was conducted on 124 patients who underwent 18 F-PSMA PET/CT and had complete pathological da-ta at the Second Hospital of Lanzhou University or Gansu Provincial People's Hospital.A total of 96 patients from Gansu Provincial Peo-ple's Hospital were randomly divided into a training set and an internal validation set at a 7∶3 ratio,while 28 patients from the Second Hospital of Lanzhou University served as an external validation set.In the training set,clinical parameters and radiomics features were i-dentified through Pearson correlation analysis and optimized using the least absolute shrinkage and selection operator(LASSO)combined with 10-fold cross-validation.Logistic regression was applied to develop separate clinical PET,radiomics,and combined models.Mod-el performance was assessed through receiver operating characteristic(ROC)curve analysis and calibration curves to evaluate predictive accuracy,decision curve analysis(DCA)to assess clinical utility.Results Three clinical and conventional PET parameters and five ra-diomics features were selected to construct the clinical PET model,radiomics model,and combined model.ROC analysis showed that all three models exhibited good predictive performance,with the combined model achieving the highest performance in the training,internal validation,and external validation sets(AUC were 0.973,0.933,and 0.813,respectively).Calibration curves and DCA indicated that the combined model demonstrated strong generalizability and predictive stability across all datasets.Conclusion The combined model in-corporating clinical parameters,conventional metabolic parameters of 18F-PSMA PET/CT,and radiomics features shows good value in the early prediction of csPCa.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

Objective To investigate the risk factors associated with postoperative pulmonary infection after pancreaticoduodenectomy(PD)and construct a predictive model for guiding early clinical intervention.Methods A retrospective analysis was carried out on 220 patients who underwent PD at the First Affiliated Hospital of Xinjiang Medical University between January 2022 and October 2024.Cases with preoperative pulmonary infection,incom-plete data,or perioperative mortality were excluded.Preoperative,intraoperative,and postoperative clinical data were meticulously collected.Univariate analysis was employed to screen potential risk factors,and multivariate logistic regression was utilized to identify independent risk factors.Subsequently,a nomogram prediction model was constructed.Results Pulmonary infection occurred in 84 patients(38.2%)following surgery.Multivariate analysis indicated that a high body mass index(BMI)(OR=1.12,95%CI:1.02～1.23,P<0.05),low albumin levels on postoperative day 3(OR=0.91,95%CI:0.83～0.99,P<0.05),an extended retention time of the postoperative abdominal drainage tube(OR=1.05,95%CI:1.01～1.09,P<0.05),a prolonged postoperative bed rest duration(OR=1.56,95%CI:1.22～1.99,P<0.05),and the occurrence of non-pulmonary complications(OR=2.23,95%CI:1.05～4.75,P<0.05)were independent risk factors for pulmonary infection.The prediction model attained an area under the receiver operating characteristic curve(AUC)of 0.82(95%CI:0.76～0.88),with the calibration curve showing a good fit.After internal validation,the AUC remained stable at 0.80(95%CI:0.71～0.88),validating the robust predictive ability of the model.Conclusions Elevated BMI,low postoperative albumin levels,extended retention time of the abdominal drainage tube,prolonged duration of bed rest,and non-pulmonary complications are identified as independent risk factors for pulmonary infection following PD.The established risk prediction model demonstrates robust predictive capabilities,thereby furnishing a foundation for individualized risk assessment and targeted preventive strategies.

Objective To investigate the value of a combined model incorporating clinical parameters,conventional metabolic pa-rameters of 18F-PSMA PET/CT,and radiomics features in the early prediction of clinically significant prostate cancer(csPCa).Methods A retrospective analysis was conducted on 124 patients who underwent 18 F-PSMA PET/CT and had complete pathological da-ta at the Second Hospital of Lanzhou University or Gansu Provincial People's Hospital.A total of 96 patients from Gansu Provincial Peo-ple's Hospital were randomly divided into a training set and an internal validation set at a 7∶3 ratio,while 28 patients from the Second Hospital of Lanzhou University served as an external validation set.In the training set,clinical parameters and radiomics features were i-dentified through Pearson correlation analysis and optimized using the least absolute shrinkage and selection operator(LASSO)combined with 10-fold cross-validation.Logistic regression was applied to develop separate clinical PET,radiomics,and combined models.Mod-el performance was assessed through receiver operating characteristic(ROC)curve analysis and calibration curves to evaluate predictive accuracy,decision curve analysis(DCA)to assess clinical utility.Results Three clinical and conventional PET parameters and five ra-diomics features were selected to construct the clinical PET model,radiomics model,and combined model.ROC analysis showed that all three models exhibited good predictive performance,with the combined model achieving the highest performance in the training,internal validation,and external validation sets(AUC were 0.973,0.933,and 0.813,respectively).Calibration curves and DCA indicated that the combined model demonstrated strong generalizability and predictive stability across all datasets.Conclusion The combined model in-corporating clinical parameters,conventional metabolic parameters of 18F-PSMA PET/CT,and radiomics features shows good value in the early prediction of csPCa.

Objective:To evaluate the preservation efficacy of 7 non-inactivating virus preservation solutions.Methods:Equal amounts of H1N1 virus were added to 7 commercially available non-inactivating virus preservation solutions, and the samples were stored at -20 ℃, 4 ℃, 25 ℃ and 37 ℃ for 1 hour, 6 hours, 1 day, 3 days, and 5 days. The viral nucleic acid in each simulated sample under different storage conditions was measured using real-time quantitative PCR. The hemagglutination (HA) titer was determined through viral isolation culture and hemagglutination assay, comparing the differences in viral growth activity across different storage solutions and conditions.Results:Except for solution E, the other solutions effectively protected viral nucleic acid at the 4 storage temperatures. In terms of viral activity, solutions A, B, C, and D effectively maintained viral viability. A and B showing the best performance, E and F showed poorer performance, and G performed the worst.Conclusions:Most non-inactivating virus preservation solutions effectively protect viral nucleic acid, but there are significant differences in their ability to maintain viral viability. To ensure optimal virus preservation, it is recommended that medical institutions evaluate the effectiveness of preservation solutions before use.

Objective To retrieve,evaluate and summarize the relevant evidences of oral health manage-ment in the community elderly people to provide reference for community medical staffs.Methods The evi-dences on oral health management of the comunity elderly people were systematically retrieved from various guide websites and Chinese and English databases.The retrieval limit was from the database establishment to September 2021.The research group conducted the evaluation and extracted the evidences according to the rel-evant literature evaluation criteria.Results A total of 17 literatures were included,including 5 guidelines,4 expert consensuses and 8 systematic reviews.A total of 28 pieces of evidences were summarized from the five aspects of assessment and examination,daily life management,management of special oral problems,denture management,and education and training.Conclusion Community medical staffs should fully consider the clin-ical situation,department resources and patient wishes,and conduct the evidence application to increase the o-ral health level of the community elderly people.

Objective:To disclose phylogenetic and antigenic characteristics of hemagglutinin (HA) gene of influenza B virus (Victoria) (BV) in the 2023-2024 influenza surveillance season in Beijing, and understand the matching with influenza vaccine component strain.Methods:Pharyngeal swab specimens from influenza like-illness (ILI) in the 2023-2024 influenza surveillance season were collected from surveillance network labs in Beijing and BV strains were isolated through MDCK or chicken embryo culture. After extracting nucleic acid, HA gene was amplified and sequenced. The nucleotide and amino acid sequence identity were conducted and the maximum likelihood method in Mega 5.0 software was used to construct the phylogenetic tree of HA gene. N-glycosylation sites of HA were performed online. Furthermore, three-dimensional structure of HA was available from SWISS-MODEL homologous modeling. Hemagglutination inhibition (HI) tests were performed to analyze antigenic characteristics of HA of BV strains.Results:Fifty-four BV strains were randomly selected to be analyzed further. Compared with the HA gene of this influenza season vaccine strain (B/Austria/1359417/2021), there are three amino acid mutations among all BV strains, two of which are located in two different antigenic determinants. Furthermore, the phylogenetic tree analysis revealed that only one subgroup of 1A.3a.2 was circulating simultaneously. All BV strains are located in Clade 1A.3a.2 subgroup, and in the same subgroup with that of the vaccine component BV strain in 2023-2024. All BV strains have the same glycosylation sites as that of the vaccine component BV strain in 2023-2024. Antigenic analysis showed that all BV strains were antigenically similar with its vaccine strain.Conclusions:In the 2023-2024 influenza surveillance season, the prevalent BV strains in the population in Beijing city are located in Clade 1A. 3a. 2 subgroup. The antigen matching between BV epidemic strains and vaccine BV components is relatively high during this surveillance season.

Human skin self-repairs after trauma and surgery. During this process,the ability of the skin to achieve complete functional regeneration and avoid the formation of fibrosis (scarring) or chronic wounds is a key clinical concern. Studies on wound healing have suggested that several factors affect the process of wound healing,including race,age,wound site,and skin tension. However,the lack of systematic analysis of the complete definition and connotation of skin regeneration and fibrosis,as well as the key links in the regulatory network of wound healing,makes clinical application difficult. In this review,we discuss domestic and international literatures to formu-late the concept of skin regeneration and fibrosis,combine the latest research progress on the physiological and pathological processes of wound healing,and propose the key links of the regulatory network that can potentially affect the outcome of skin wound healing. There-fore,this review provides novel theoretical support for the study of wound healing and suggests innovative diagnostic and therapeutic strat-egies for clinical applications.

Human skin self-repairs after trauma and surgery. During this process,the ability of the skin to achieve complete functional regeneration and avoid the formation of fibrosis (scarring) or chronic wounds is a key clinical concern. Studies on wound healing have suggested that several factors affect the process of wound healing,including race,age,wound site,and skin tension. However,the lack of systematic analysis of the complete definition and connotation of skin regeneration and fibrosis,as well as the key links in the regulatory network of wound healing,makes clinical application difficult. In this review,we discuss domestic and international literatures to formu-late the concept of skin regeneration and fibrosis,combine the latest research progress on the physiological and pathological processes of wound healing,and propose the key links of the regulatory network that can potentially affect the outcome of skin wound healing. There-fore,this review provides novel theoretical support for the study of wound healing and suggests innovative diagnostic and therapeutic strat-egies for clinical applications.