Objective:To explore the value of a scoring system based on preoperative abdominal computed tomography (CT) for predicting the difficulty of laparoscopic cholecystectomy (LC).Methods:A retrospective analysis was conducted on 105 patients diagnosed with gallstones or cholecystitis who underwent LC at Beijing Jishuitan Hospital, Capital Medical University from January 2021 and February 2022. Based on surgical video reviews, patients were divided into the easy group ( n=58) and the difficult group ( n=47) according to the intraoperative Parkland Grading Scale (PGS), with PGS grades 1-2 assigned to the easy group, and PGS grades 3-5 assigned to the difficult group. The normally distributed measurement data were expressed as mean±standard deviation ( ± s), and compared using independent samples t-test; the non-normally distributed measurement data were expressed as median (interquartile range) [ M ( Q1, Q3)], and compared using the rank-sum test. The count data were expressed as the number of cases and percentage, and compared using the Chi-square test or Fisher exact probability method. Univariate analysis and cut-off value determination: for continuous CT variables, univariate Logistic regression and stepwise regression analyses (with surgical difficulty grouping as the dependent variable) were performed to identify the optimal combination of predictive variables and establish a scoring system. For each significantly associated continuous variable or important CT image feature from a clinical perspective, receiver operating characteristic (ROC) curve analysis was used to evaluate its predictive performance for difficult surgery. The area under the curve (AUC) was calculated, and the optimal cut-off value was determined using the Youden index to maximize the sum of sensitivity and specificity. The categorical CT image features were scored according to their original groups. The Kappa consistency test was used to assess the strength of agreement between the preoperative abdominal CT score (grouped by the optimal cut-off) and PGS grades (easy/difficult). Decision curve analysis (DCA) was employed to validate the predictive performance of the model. Results:Stepwise Logistic regression identified seven key imaging features as the optimal predictive variables for constructing the preoperative abdominal CT scoring system: maximum gallbladder cross-sectional diameter, maximum gallbladder cross-sectional width, gallbladder wall thickness, common bile duct diameter, pericholecystic fat stranding, periductal fat stranding, and impacted cystic duct stones. Each case was scored after assigning scores based on the optimal cut-off values. The total score of the preoperative abdominal CT scoring system was ≥3 points predicted difficult LC with an AUC of 0.745 (95% CI: 0.650-0.839), sensitivity of 66.0%, and specificity of 75.9%. DCA confirmed the model′s reliable predictive performance, and the preoperative abdominal CT scoring system showed good agreement with PGS grades ( Kappa value was 0.420, P<0.001). Conclusions:The preoperative abdominal CT scoring system based on pericholecystic imaging features can effectively predict the difficulty of LC with good discriminative ability. It provides a quantitative tool for preoperative assessment, surgical scheduling, and ambulatory surgery management.

Objective Currently, there is no commercially available quantitative detection kit for the main Felis domestic allergen (Fel d 1) in China. To establish a rapid detection method for Fel d 1, this study aims to prepare monoclonal antibodies against Fel d 1 protein. Methods The codon preference of Escherichia coli was utilized to optimize and synthesize the Fel d 1 gene. The prokaryotic expression plasmid pET-28a-Fel d 1 was constructed and used to express and purify the recombinant Fel d 1 protein. Subsequently, the recombinant protein was immunized into BALB/c mice and monoclonal antibodies (mAbs) were prepared by the hybridoma technique. An indirect ELISA was established using the recombinant Fel d 1 as the coating antigen, and hybridoma cell lines were screened for positive clones. The specificity and antigenic epitopes of the mAbs were confirmed by Western blot analysis. Finally, the selected hybridoma cells were injected into the peritoneal cavities of BALB/c mice for large-scale monoclonal antibody production. Results The recombinant plasmid pET-28a-Fel d 1 was successfully constructed, and soluble Fel d 1 protein was obtained after optimizing the expression conditions. Western blot and antibody titer assays confirmed the successful isolation of two hybridoma cell lines, 7D11 and 5H4, which stably secreted mAbs specific to Fel d 1. Antibody characterization revealed that the 5H4 mAb was of the IgG2a subtype and could recognize the amino acid region 105-163 of Fel d 1, while the 7D11 mAb was the IgG1 subtype and could recognize the amino acid region 1-59. Conclusion The high-purity recombinant Fel d 1 protein produced in this study provides a promising alternative for clinical immunotherapy of cat allergies. Furthermore, the monoclonal antibody prepared in this experiment lays a material foundation for the in-depth study of the biological function of Fel d 1 and the development of ELISA detection.
Animals ; Antibodies, Monoclonal/biosynthesis* ; Mice, Inbred BALB C ; Cats ; Mice ; Allergens/genetics* ; Glycoproteins/genetics* ; Enzyme-Linked Immunosorbent Assay ; Hybridomas/immunology* ; Recombinant Proteins/genetics* ; Female ; Antibody Specificity

Objective:To investigate the current status of application of stereotactic body radiation therapy (SBRT) in China, aiming to provide reference for promoting the development of this technology.Methods:From January to March 2024, a questionnaire was designed and distributed online, targeting member units of the Professional Committee of Stereotactic Radiosurgery Treatment, which covers 175 radiotherapy units in 30 provinces and regions nationwide. The survey focused on the current application of SBRT technology and its utilization in the treatment of early-stage non-small cell lung cancer (NSCLC). A statistical description of the survey results was presented.Results:Of 175 questionnaires distributed, a total of 130 valid responses were collected, with an effective response rate of 74.3%. A total of 81.5% (106/130) of the units had implemented SBRT technology, and 99.1% of the respondents believed it was necessary to further promote SBRT technology, yet the actual training rate was only 67.0%. SBRT equipment configuration: there were a total of 267 SBRT equipment, featuring a diverse range of types, with traditional linear accelerators as the mainstays, accounting for 76.0% ( n=203), followed by 12.0% ( n=32) for TOMO, 6.4% ( n=17) for Cyber knife, 3.7% ( n=10) for Gamma knife, and proton/heavy ion equipment at 1.5% ( n=4), respectively. The percentage of units with multi-leaf collimator leaf widths ≤0.5 cm was 93.4% (99/106). The application of SBRT: the first radiotherapy unit commenced SBRT in 2000, and this technology entered a period of rapid growth after 2015, sustaining a steady increase over the past decade; SBRT technology was mainly applied in the brain, lung, liver, bone, adrenal gland, and kidney, with application rates of 97.2%, 94.3%, 86.8%, 71.7%, 56.6%, and 27.4%, respectively, while the application rates for the pancreas, metastatic lymph nodes, and other parts were less than 5%. Current status of SBRT technology application in early-stage NSCLC: 90.6% (96/106) of units had implemented SBRT; pre-treatment multi-disciplinary diagnosis and treatment accounted for 77% (74/96); the proportion of application units for peripheral and central type lung cancer lesions both exceeded 57.3%, whereas the application rate for ultra-central type and lesions > 5 cm lung cancer was less than 30%; there was significant variability in the selection of reference guidelines, dose fractionation patterns, and the concept of central type among units. Conclusions:The development of SBRT technology in China is in a period of steady growth, but several issues such as low training rate and lack of standardization still exist. The survey results provide important reference for clinical training and promotion of SBRT technology in China.

Objective:This study investigated the independent risk factors for lymph node metastasis（LNM）in high-risk prostate cancer（HRPCa）patients undergoing robot-assisted radical prostatectomy（RARP），and constructed a nomogram model based on clinical data to improve the accuracy and clinical practicality of preoperative prediction of LNM.Methods:A retrospective analysis was conducted on the clinical data of 218 HRPCa patients who received RARP treatment at the First Medical Center of the PLA General Hospital from January 2020 to March 2025 as the modeling group. The age of the modeling group was（66.91±6.94）years old. 75 cases（34.40%）had a history of smoking，and 48 cases（22.02%）had a history of drinking. There were a body mass index（BMI）of 25.55（23.58，27.00）kg/m 2，a total prostate-specific antigen（tPSA）of 20.59（10.42，30.61）ng/ml，a free prostate-specific antigen（fPSA）of 1.87（1.04，3.26）ng/ml，a prostate volume（PV）of（41.19±21.00）ml，a prostate-specific antigen density（PSAD）of 0.52（0.30，0.84）ng/ml 2. Among the patients，60 cases（27.52%）had a preoperative biopsy Gleason score >8，and the percentage of positive biopsy cores（PPBC）was 50%（31%，80%）. Thirty-one patients（14.22%）were staged clinically as >T 2c. The diagnostic criteria for high-risk prostate cancer（HRPCa）were defined as meeting any one of the following：PSA >20 ng/ml，Gleason score on prostate biopsy ≥8，or clinical stage ≥T 3. Among the 218 patients in the modeling cohort，67 cases（30.73%）met two of the criteria，and 7 cases（3.21%）met all three criteria. All 218 patients underwent RARP，and based on postoperative pathology，they were divided into the LNM group and the non-LNM group. The relationship between the number of diagnostic criteria met and the occurrence of LNM was analyzed. An external validation cohort included 42 HRPCa patients who underwent RARP at the Third，Fifth Medical Centers of the PLA General Hospital between January 2023 and May 2025. Their mean age was（66.79±5.92）years. Eighteen patients（42.86%）had a smoking history，and nine（21.43%）had a history of alcohol consumption. The median BMI was 26.00（23.80，27.13）kg/m 2. The median tPSA level was 17.34（8.97，27.30）ng/ml. The median fPSA was 1.51（0.83，2.52）ng/ml，and the median PV was（35.57 ± 15.25）ml. The median PSAD was 0.57（0.23，0.87）ng/ml 2，and the median PPBC was 58%（36%，71%）. Three patients（7.14%）had a clinical stage >T 2c，and 12 patients（28.57%）had a Gleason score >8 on preoperative biopsy. Univariate and multivariate binary logistic regression analyses were used to identify independent risk factors for LNM，and a nomogram model was constructed based on these factors. The predictive performance of the model was evaluated using receiver operating characteristic（ROC）curves and calibration plots，and the model was validated in the external cohort. Result:According to postoperative pathology，45 patients were classified into the LNM group，and 173 into the non-LNM group. The probability of LNM increased proportionally with the number of diagnostic criteria met for HRPCa（meeting two criteria： OR = 4.762，95% CI 2.323-9.761， P < 0.01；meeting three criteria： OR = 10.667，95% CI 2.187-52.025， P=0.003）. Binary logistic regression analysis revealed that age（ OR=0.913，95% CI 0.859-0.971， P = 0.004），tPSA（ OR=1.039，95% CI 1.018-1.061， P<0.01），PPBC（ OR = 5.656，95% CI 1.101-29.056， P = 0.038），and clinical T stage（T 2c stage： OR=2.945，95% CI 0.888-9.769， P=0.077；>T 2c stage OR = 18.351，95% CI 4.790-70.306， P < 0.01）were independent risk factors for postoperative LNM in HRPCa patients after RARP. The ROC curve of the nomogram model based on these factors showed an area under the curve（AUC）of 0.853（95% CI 0.790-0.917）. In the external validation cohort，the nomogram achieved an AUC of 0.743（95% CI 0.556-0.929）. The calibration plots demonstrated good agreement between the predicted probabilities and actual observations. Conclusions:Age，tPSA，PPBC，and clinical T stage were independent predictors of postoperative LNM in HRPCa patients undergoing RARP. The greater the number of HRPCa diagnostic criteria met，the higher the likelihood of postoperative LNM. The nomogram developed in this study could effectively predict the risk of LNM in HRPCa patients after RARP.

Objective:To construct and evaluate a training program for cardiovascular nurse specialists based on a core competency framework.Methods:Among 61 trainees participating in the first training class for cardiovascular nurse specialists organized by a provincial nursing society, a training program focusing on the nine core competencies for cardiovascular nurse specialists was implemented, which consisted of 4-week theoretical and 4-week practical training. The effectiveness of the training program was evaluated using the Kirkpatrick model. Data analyses were performed by using SPSS 26.0. Categorical data were presented as the number of cases; continuous variables in normal distribution were expressed as mean±standard deviation; and continuous variables in non-normal distribution were presented as median (interquartile range) and compared using non-parametric tests.Results:At the reaction level, the satisfaction rates of trainees with the theoretical and practical sections of the training program were 98.36% (60/61) and 95.08% (58/61), respectively. At the learning level, the comprehensive assessment score of the trainees was (83.01±3.39) points, and all of them successfully obtained their completion certificates, with a pass rate of 100.00% (61/61). At the behavior level, the core competencies for cardiovascular nurse specialists were significantly improved after training [the total score increased from 291.00 (254.00, 334.25) to 410.50 (354.50, 433.00), P<0.001]. At the results level, at six months after training, there were significant increases in the number of participants engaging in cardiovascular care practices, clinical nursing education and guidance, leadership roles, and research projects within their units as well as the number of individuals achieving career advancement (all P<0.05). Conclusions:The trainees are highly satisfied with the core competency-focused cardiovascular nurse training program, which can improve core competencies and cardiovascular nursing capabilities, expand the scope of cardiovascular nursing services, and foster the sustained advancement of the participants.

Objective:This study investigated the independent risk factors for lymph node metastasis（LNM）in high-risk prostate cancer（HRPCa）patients undergoing robot-assisted radical prostatectomy（RARP），and constructed a nomogram model based on clinical data to improve the accuracy and clinical practicality of preoperative prediction of LNM.Methods:A retrospective analysis was conducted on the clinical data of 218 HRPCa patients who received RARP treatment at the First Medical Center of the PLA General Hospital from January 2020 to March 2025 as the modeling group. The age of the modeling group was（66.91±6.94）years old. 75 cases（34.40%）had a history of smoking，and 48 cases（22.02%）had a history of drinking. There were a body mass index（BMI）of 25.55（23.58，27.00）kg/m 2，a total prostate-specific antigen（tPSA）of 20.59（10.42，30.61）ng/ml，a free prostate-specific antigen（fPSA）of 1.87（1.04，3.26）ng/ml，a prostate volume（PV）of（41.19±21.00）ml，a prostate-specific antigen density（PSAD）of 0.52（0.30，0.84）ng/ml 2. Among the patients，60 cases（27.52%）had a preoperative biopsy Gleason score >8，and the percentage of positive biopsy cores（PPBC）was 50%（31%，80%）. Thirty-one patients（14.22%）were staged clinically as >T 2c. The diagnostic criteria for high-risk prostate cancer（HRPCa）were defined as meeting any one of the following：PSA >20 ng/ml，Gleason score on prostate biopsy ≥8，or clinical stage ≥T 3. Among the 218 patients in the modeling cohort，67 cases（30.73%）met two of the criteria，and 7 cases（3.21%）met all three criteria. All 218 patients underwent RARP，and based on postoperative pathology，they were divided into the LNM group and the non-LNM group. The relationship between the number of diagnostic criteria met and the occurrence of LNM was analyzed. An external validation cohort included 42 HRPCa patients who underwent RARP at the Third，Fifth Medical Centers of the PLA General Hospital between January 2023 and May 2025. Their mean age was（66.79±5.92）years. Eighteen patients（42.86%）had a smoking history，and nine（21.43%）had a history of alcohol consumption. The median BMI was 26.00（23.80，27.13）kg/m 2. The median tPSA level was 17.34（8.97，27.30）ng/ml. The median fPSA was 1.51（0.83，2.52）ng/ml，and the median PV was（35.57 ± 15.25）ml. The median PSAD was 0.57（0.23，0.87）ng/ml 2，and the median PPBC was 58%（36%，71%）. Three patients（7.14%）had a clinical stage >T 2c，and 12 patients（28.57%）had a Gleason score >8 on preoperative biopsy. Univariate and multivariate binary logistic regression analyses were used to identify independent risk factors for LNM，and a nomogram model was constructed based on these factors. The predictive performance of the model was evaluated using receiver operating characteristic（ROC）curves and calibration plots，and the model was validated in the external cohort. Result:According to postoperative pathology，45 patients were classified into the LNM group，and 173 into the non-LNM group. The probability of LNM increased proportionally with the number of diagnostic criteria met for HRPCa（meeting two criteria： OR = 4.762，95% CI 2.323-9.761， P < 0.01；meeting three criteria： OR = 10.667，95% CI 2.187-52.025， P=0.003）. Binary logistic regression analysis revealed that age（ OR=0.913，95% CI 0.859-0.971， P = 0.004），tPSA（ OR=1.039，95% CI 1.018-1.061， P<0.01），PPBC（ OR = 5.656，95% CI 1.101-29.056， P = 0.038），and clinical T stage（T 2c stage： OR=2.945，95% CI 0.888-9.769， P=0.077；>T 2c stage OR = 18.351，95% CI 4.790-70.306， P < 0.01）were independent risk factors for postoperative LNM in HRPCa patients after RARP. The ROC curve of the nomogram model based on these factors showed an area under the curve（AUC）of 0.853（95% CI 0.790-0.917）. In the external validation cohort，the nomogram achieved an AUC of 0.743（95% CI 0.556-0.929）. The calibration plots demonstrated good agreement between the predicted probabilities and actual observations. Conclusions:Age，tPSA，PPBC，and clinical T stage were independent predictors of postoperative LNM in HRPCa patients undergoing RARP. The greater the number of HRPCa diagnostic criteria met，the higher the likelihood of postoperative LNM. The nomogram developed in this study could effectively predict the risk of LNM in HRPCa patients after RARP.

Objective:To establish a method for evaluating the material attributes and skeletal performance of 2208 hydroxypropyl methylcellulose(HPMC),to clarify the influence of different material attributes on the skeletal per-formance of HPMC,to compare the differences between the products of different manufacturers,and to analyze the factors affecting the process.Methods:In this study,the material attributes such as powder chemical properties,viscosity,gelation temperature,thermodynamic properties,weight-average molecular weight,methoxy and hydroxypropoxy contents of different manufacturers were firstly investigated.Then,the water absorption,swelling,and dissolution properties of HPMC blank skeleton tablets were determined using the weighing method.Finally,Principal Component Analysis(PCA)and Orthogonal Partial Least-Squares Discrimination Analysis(OPLS-DA)were used to systematically evaluate the material attributes and skeleton performance of HPMC.The systematic evaluation of each material attribute and skeleton performance of HPMC was carried out to elucidate the intrinsic relationship between each material attribute and skeleton performance of HPMC.Results:The results showed that there were obvious differences in the material attributes of HPMC from different manufacturers,such as the proper-ties of powder,viscosity,and weight-average molecular weight,and that there were differences in the corrosion performance,water absorption,and swelling performance of the skeleton tablets prepared from different manufactur-ers,with the most obvious differences between K4Mand K100M.The results of the PCA and OPLS-DA analyses indicated that these 19 variables showed some correlation with each other.Both mathematical models showed better differentiation and classification effects on HPMC samples,and the OPLS-DA model had better classification effects than the PCA model.Conclusion:Based on the PCA and OPLS-DA models,this study conducted systematical research on HPMC,clarified the degree of influence of different material attributes on the skeletal performance of HPMC,and suggested the addition of HPMC particle size and size distribution,and weight-average molecular weight as the quality standards,which provide a basis for the quality control of the related excipients,the screening of formulation prescriptions,and the improvement of performance.

Objective:To establish a method for evaluating the material attributes and skeletal performance of 2208 hydroxypropyl methylcellulose(HPMC),to clarify the influence of different material attributes on the skeletal per-formance of HPMC,to compare the differences between the products of different manufacturers,and to analyze the factors affecting the process.Methods:In this study,the material attributes such as powder chemical properties,viscosity,gelation temperature,thermodynamic properties,weight-average molecular weight,methoxy and hydroxypropoxy contents of different manufacturers were firstly investigated.Then,the water absorption,swelling,and dissolution properties of HPMC blank skeleton tablets were determined using the weighing method.Finally,Principal Component Analysis(PCA)and Orthogonal Partial Least-Squares Discrimination Analysis(OPLS-DA)were used to systematically evaluate the material attributes and skeleton performance of HPMC.The systematic evaluation of each material attribute and skeleton performance of HPMC was carried out to elucidate the intrinsic relationship between each material attribute and skeleton performance of HPMC.Results:The results showed that there were obvious differences in the material attributes of HPMC from different manufacturers,such as the proper-ties of powder,viscosity,and weight-average molecular weight,and that there were differences in the corrosion performance,water absorption,and swelling performance of the skeleton tablets prepared from different manufactur-ers,with the most obvious differences between K4Mand K100M.The results of the PCA and OPLS-DA analyses indicated that these 19 variables showed some correlation with each other.Both mathematical models showed better differentiation and classification effects on HPMC samples,and the OPLS-DA model had better classification effects than the PCA model.Conclusion:Based on the PCA and OPLS-DA models,this study conducted systematical research on HPMC,clarified the degree of influence of different material attributes on the skeletal performance of HPMC,and suggested the addition of HPMC particle size and size distribution,and weight-average molecular weight as the quality standards,which provide a basis for the quality control of the related excipients,the screening of formulation prescriptions,and the improvement of performance.

Objective:To construct and evaluate a training program for cardiovascular nurse specialists based on a core competency framework.Methods:Among 61 trainees participating in the first training class for cardiovascular nurse specialists organized by a provincial nursing society, a training program focusing on the nine core competencies for cardiovascular nurse specialists was implemented, which consisted of 4-week theoretical and 4-week practical training. The effectiveness of the training program was evaluated using the Kirkpatrick model. Data analyses were performed by using SPSS 26.0. Categorical data were presented as the number of cases; continuous variables in normal distribution were expressed as mean±standard deviation; and continuous variables in non-normal distribution were presented as median (interquartile range) and compared using non-parametric tests.Results:At the reaction level, the satisfaction rates of trainees with the theoretical and practical sections of the training program were 98.36% (60/61) and 95.08% (58/61), respectively. At the learning level, the comprehensive assessment score of the trainees was (83.01±3.39) points, and all of them successfully obtained their completion certificates, with a pass rate of 100.00% (61/61). At the behavior level, the core competencies for cardiovascular nurse specialists were significantly improved after training [the total score increased from 291.00 (254.00, 334.25) to 410.50 (354.50, 433.00), P<0.001]. At the results level, at six months after training, there were significant increases in the number of participants engaging in cardiovascular care practices, clinical nursing education and guidance, leadership roles, and research projects within their units as well as the number of individuals achieving career advancement (all P<0.05). Conclusions:The trainees are highly satisfied with the core competency-focused cardiovascular nurse training program, which can improve core competencies and cardiovascular nursing capabilities, expand the scope of cardiovascular nursing services, and foster the sustained advancement of the participants.