Objective To analyze the risk factors of plastic bronchitis (PB) in children with severe mycoplasma pneumoniae pneumonia (SMPP) and construct a Nomogram model. Methods A total of 195 children with SMPP from April 2022 to April 2025 were selected and divided into the PB group and the non-PB group according to the occurrence of PB. Their clinical data were compared. Binary logistic regression was used to analyze the risk factors of PB in SMPP, and ROC was used to analyze the predictive ability of the model. The Nomogram prediction model was established using R-4.4.3 software, and the calibration curve and clinical decision curve were plotted for analysis. Results PB occurred in 66 cases (33.85%) (P < 0.05). The duration of fever, PIV, SII, D-D, LDH, and pleural effusion were independent risk factors for PB in SMPP (OR=6.997, 1.016, 1.008, 70.202, 1.025, 32.323, P < 0.05). Based on this, the PB prediction model for SMPP occurrence established had a good goodness of fit (P > 0.05), and the area under the ROC curve was 0.888 (95%CI : 0.878-0.898). The average absolute error of Bootstrap repeated sampling 1000 times was 0.021, and the model C-index was 0.889 (95%CI: 0.888-0.991). The predicted probability of the model has a good consistency with the actual probability, with good accuracy, and the Brier score is 0.035 (95%CI: 0.015-0.054). Good clinical benefits can be achieved when the threshold probability is between 0.01 and 0.99. Conclusion The Nomogram model of PB in children with SMPP constructed based on factors such as fever duration, PIV, SII, D-D, LDH, and pleural effusion has good discrimination and accuracy, and can provide a reference for the prevention of PB.

Objective:To analyze the changes and structural variations in hospitalization costs for patients with lung malignancies after the implementation of diagnosis-intervention packet (DIP) payment system, and to evaluate its effectiveness.Methods:Data from the first page of medical records and hospitalization cost data from the hospital information system of a tertiary general hospital in Henan Province were extracted for patients diagnosed with lung malignancies from 2020 to 2023. The data were divided into pre-implementation group (2020—2021) and post-implementation group (2022—2023) based on the implementation time of DIP. Chi-square test, t test, and Wilcoxon rank-sum test were used to analyze the differences in basic characteristics and hospitalization costs of patients with lung malignancies before and after the implementation of DIP. Grey relational analysis was employed to examine the internal associations between total hospitalization costs and various cost components. Structural variation analysis was used to assess the changes in the structure of hospitalization costs after the implementation of DIP. Results:A total of 14 587 hospitalized patients with lung malignancies were included, with 6 807 cases in the pre-implementation group and 7 780 cases in the post-implementation group. The average length of hospital stay decreased from (13.17±6.74) days before implementation to (12.02±6.49) days after implementation ( P<0.05). The proportion of level-four surgeries increased from 46.4% to 57.0% ( P<0.05). The average hospitalization cost per patient with lung malignancies decreased from 56 952 yuan before DIP implementation to 55 560 yuan after implementation ( P<0.05). For patients with lung malignancies diagnosed as C34.1, C34.2, C34.3, and C34.8, the top four cost components most strongly associated with total hospitalization costs were treatment costs, material costs, comprehensive medical service costs, and diagnostic costs, with correlation coefficients all>0.80. For patients with C34.9, the top four cost components most strongly associated with total hospitalization costs were treatment costs, comprehensive medical service costs, diagnostic costs, and Western medicine costs, with correlation coefficients>0.95. For patients diagnosed as C34.1, C34.2, C34.3, and C34.9, diagnostic costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 75%, among which Western medicine costs and material costs showed negative variation. For patients diagnosed as C34.8, treatment costs, Western medicine costs, and material costs contributed significantly to the structural variation of hospitalization costs, with contribution rate of structure variation all exceeding 80%, among which Western medicine costs showed negative variation. Conclusions:The implementation of DIP reduced the hospitalization costs for patients with lung malignancies, optimized the structure of hospitalization costs, improved the efficiency of medical services, and promoted the rational allocation of medical resources.

Lean six sigma (LSS) emphasizes patient demand-oriented, and continuously optimizing prolesses to achieve efficiency and standardization in medical services. Starting in 2021, a specialized children′s hospital (comprising one main campus and three branch campuses) introduced the LSS management method. Through define, measure, analyze, improve, and control, the hospital utilized tools such as questionnaire surveys, SIPOC models, and fishbone diagrams to identify pain points in the building of multi-campus child-friendly hospital and develop improvement measures.To address the main issues of insufficient cross-campus collaboration, significant disparities in service quality among different campuses, unclear functional positioning of each campus, and inadequate integration with social security mechanisms, the hospital implemented a " homogeneity-differentiation-coordination" management mode. The hospital implemented unified diagnosis and treatment standards and clinical pathways, carried out remote consultations and expert rotations, completed mutual recognition of examination and testing results, optimized child friendly labeling and child friendly environment, and built a " hospital-to-hospitals, hospital to medical schools, and hospital to community health centers" linkage platform, etc., to promote the standardization of diagnosis and treatment processes, clear functional positioning of the hospital area, and efficient resource allocation. Through practice, the outpatient appointment rate and patient satisfaction rate in the main hospital had increased from 86.72% and 98.64% in January December 2021 to 91.87% and 99.72% in January December 2024, respectively; The patient waiting time had been shortened from 26.54 minutes to 21.94 minutes, and the efficiency of medical treatment and service experience had been significantly improved. As of 2024, mutual recognition of 214 inspection and testing items had been achieved cross hospital campuses, forming a collaborative pattern of " main hospital leading, campuses support, and resource complementarity", and significantly improving the level of collaboration and child friendly connotation among multi-campus. This practice explored the integration path of multi-campus collaborative governance and child-friendly services, which could provide reference and inspiration for the similar hospitals.

Objective:To compare the clinical outcomes of immediate breast reconstruction using latissimus dorsi flap with implant versus mesh with implant based on BREAST-Q evaluation.Methods:From the clinical database of the First Affiliated Hospital of Nanjing Medical University, the patients who underwent immediate breast reconstruction after total mastectomy from January 2020 to December 2023 were selected as the research subjects. All breast reconstruction surgeries were performed by the same surgeon. Patients were divided into two groups according to surgical methods: the latissimus dorsi muscle flap combined with implant immediate breast reconstruction group (LD group) and the mesh combined with implant immediate breast reconstruction group (mesh group). Patients were followed up in outpatient clinics or by telephone one year after surgery. The BREAST-Q was used to evaluate the surgical outcomes of both groups from four dimensions: psychosocial well-being, sexual well-being, chest-physical well-being, and breast satisfaction. The score range for each dimension was 0-100, with higher scores indicating greater patient satisfaction with quality of life and surgical outcomes. Statistical analysis was performed using SPSS 22.0 software. Normally distributed measurement data were expressed as Mean ± SD, and comparisons between the two groups were performed using independent sample t-test. Count data were expressed as number of cases and percentages, and comparisons between groups were performed using chi-square test or Fisher’s exact test. P<0.05 was considered statistically significant. Results:A total of 123 patients were included, with 59 patients in the LD group and 64 patients in the mesh group. In the LD group, the mean age was (37.7±7.0) years, body mass index (BMI) was (22.6±2.6) kg/m 2, and clinical tumor staging showed 2, 22, 30, and 5 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. In the mesh group, the mean age was (39.1±7.0) years, BMI was (22.6±2.8) kg/m 2, and clinical tumor staging showed 1, 25, 38, and 0 cases for stages 0, Ⅰ, Ⅱ, and Ⅲ, respectively. There were no statistically significant differences between the two groups in baseline characteristics including age, BMI, and clinical tumor staging (all P>0.05). One year after surgery, the BREAST-Q result showed no statistically significant differences between the LD group and mesh group in psychosocial well-being [(83.0±19.8) points vs. (80.8±19.3) points] and sexual well-being [(62.1±30.4) points vs. (65.8±25.6) points] (all P>0.05). However, the LD group had lower chest-physical well-being scores than the mesh group [(40.6±9.7) points vs. (45.1±9.6) points, P<0.05], while breast satisfaction scores were higher in the LD group than in the mesh group [(68.0±17.8) points vs. (59.8±12.6) points, P<0.01]. Conclusion:Immediate breast reconstruction by both latissimus dorsi flap with implant and mesh with implant can improve patients’ psychosocial and sexual well-being by enhancing breast appearance. However, LD technique provides better breast satisfaction, while the mesh technique offers advantages in physical well-being of the chest wall and upper body. Surgeons should select the most appropriate breast reconstruction technique based on patients’ anatomical conditions, treatment history, and individual needs to optimize postoperative quality of life and satisfaction.

Objective:To investigate the feasibility of deep learning reconstruction (DLR) algorithm combined with a dual-low protocol (low radiation dose and low contrast medium dose) for thoracoabdominal aortic CT angiography (CTA).Methods:This cross-sectional study prospectively enrolled 56 patients suspected of aortic diseases who underwent aortic CTA at China-Japan Friendship Hospital from June 2023 to June 2024. All patients were randomly divided into two groups: Group A (28 cases) underwent CTA with a tube voltage of 100 kVp, automatic tube current modulation (noise index=10), and a contrast agent dose of 80 ml (flow rate 5 ml/s), with images reconstructed using the three-dimensional adaptive iterative dose reduction algorithm (AIDR). Group B (28 cases) underwent CTA with a tube voltage of 80 kVp, automatic tube current modulation (noise index=25), and a contrast agent dose of 40 ml (flow rate 3.5 ml/s), with images reconstructed using either the deep learning reconstruction algorithm-Advanced intelligent Clear-IQ Engine (AiCE subgroup) or the AIDR (AIDR subgroup). Two physicians evaluated the image quality of the three groups subjectively and objectively. Objective evaluation metrics included CT values, image noise (SD), signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) at the ascending aorta, carina-level descending aorta, celiac trunk-origin abdominal aorta, and common iliac bifurcation abdominal aorta carina. Subjective evaluation metrics included image quality and noise scores. Comparisons among the three datasets (Group A, AiCE subgroup, AIDR subgroup) were performed using one-way ANOVA or the Kruskal-Wallis test, with appropriate post-hoc tests for pairwise comparisons.Results:No significant differences were observed in CT values of the ascending aorta, descending aorta, and abdominal aorta between Group A and the AiCE subgroup or the AIDR subgroup ( P0.05). However, significant overall differences were found in SD, SNR, and CNR values for the ascending aorta, descending aorta, and abdominal aorta ( P0.05). Pairwise comparisons revealed that, except for no significant differences in SD, SNR, and CNR values of the ascending and descending aorta between Group A and the AiCE subgroup, and no significant difference in SNR values of the ascending and abdominal aorta between Group A and the AIDR subgroup ( P0.05), all other intergroup comparisons showed statistically significant differences ( P0.05). Significant overall differences were also observed in image quality and noise scores between Group A and the AiCE and AIDR subgroups ( P0.05). Except for no significant differences in image quality and noise scores between Group A and the AiCE subgroup ( P0.05), all other pairwise comparisons showed statistically significant differences ( P0.05). Conclusions:The application of deep learning reconstruction algorithm combined with a dual-low protocol in thoracoabdominal aortic CTA can reduce radiation dose and contrast agent dose while maintaining diagnostic image quality, demonstrating significant clinical value for widespread adoption.

Strengthening the construction of platforms,talents,and disciplines is a crucial strategy to enhance the core competitiveness and promote the high-quality development of national regional medical centers.It outlines the theoretical framework and implementation path for building the"Platform-Talent(Team)-Discipline"develop-ment system during the establishment of the National Regional Medical Center at Henan Children's Hospital Zheng-zhou Children's Hospital.By creating a collaborative innovation platform integrating medical services,education,and research,implementing talent development programs,optimizing mechanisms for talent recruitment,cultivation,and retention,and advancing discipline development projects,the center has achieved significant progress in its core competencies.This exploration provides valuable insights and references for the development of national regional medical centers and the high-quality growth of public hospitals.

Objective To investigate the interaction between a novel antimicrobial compound,HL-J6,and penicillin-binding protein 1(PBP1)of Staphylococcus aureus.Methods With MRSA252 genomic DNA as the template and PBP1F and PBP1R as primers,the expression plasmid pET30a-pbp1-39-608 was constructed by amplifying the target gene fragment followed by cloning into the Nde I/Xho I restriction sites of the pET30a vector.Then the obtained plasmids were transformed into Escherichia coli for the expression of PBP1-39-608 protein,and the product was purified by affinity chromatography.The inhibitory effect of HL-J6 on the transpeptidase activity of PBP1-39-608 was measured using peptidoglycan side chain backbone peptide,with thiol ester analog S2d as the substrate.The affinity between HL-J6 and PBP1-39-608 was detected using microscale thermophoresis(MST),and the binding interaction was confirmed by cellular thermal shift assay(CETSA).Molecular docking and dynamics simulation were performed using AutoDock Vina and Desmond software,respectively,to elucidate the binding mode of HL-J6 with the PBP1-39-608 protein and the key amino acid residues involved.Results The recombinant plasmid pET30a-pbp1-39-608 was successfully constructed,and PBP1-39-608 protein was produced after induction and purified,yielding a protein with an approximate molecular mass of 65×103.HL-J6 inhibited the transpeptidase activity of PBP1-39-608 in a time-dependent manner(P<0.001).The dissociation constant Kd of the binding between HL-J6 and PBP1-39-608 was 64.92 μmol/L.Molecular docking results showed that HL-J6 bound to the active pocket of PBP1-39-608 by interacting with key residues such as ILE-348,ASN-370,THR-516 and PHE-423,with a binding score of-8.38 kcal/mol(<-5.00 kcal/mol).Dynamics simulation results indicated that the complex became stable after 50 ns.Conclusion HL-J6 effectively inhibits the transpeptidase activity of Staphylococcus aureus PBP1,and shows stable interaction with the protein.

Paclitaxel (PTX), a valuable natural product derived from Taxus species, exhibits remarkable anti-cancer properties. It penetrates nanopores in microtubule walls, interacting with tubulin on the lumen surface and disrupting microtubule dynamics, thereby inducing cytotoxic effects in cancer cells. PTX and its derivatives have gained approval for treating various diseases due to their low toxicity, high efficiency, and broad-spectrum application. The widespread success and expanding applications of PTX have led to increased demand, raising concerns about accessibility. Consequently, researchers globally have focused on developing alternative production methods and applying nanocarriers in PTX delivery systems to enhance bioavailability. This review examines the challenges and advancements in PTX sourcing, production, physicochemical properties, anti-cancer mechanisms, clinical applications, trials, and chemo-immunotherapy. It aims to provide a comprehensive reference for the rational development and effective utilization of PTX.
Humans ; Paclitaxel/pharmacology* ; Antineoplastic Agents, Phytogenic/pharmacology* ; Neoplasms/drug therapy* ; Animals ; Taxus/chemistry*

Objective To analyze the clinical application of the Donabedian-based structure-process-result three-dimensional quality evaluation model for the prevention of stress injury in bone tumor surgery.Methods A total of 284 patients with bone tumor who were admitted to The Second Affiliated Hospital of Naval Medical University from January 2022 to December 2023 were enrolled and assigned to two groups according to the random number table.The control group received routine nursing.In the observation group,the Donabedian-based structure-process-result three-dimensional quality evaluation model was applied to prevent the stress injury in bone tumor surgery.The indexes of the two groups were compared and analyzed.Results Before intervention,there was no significant difference in scores between the two groups(P>0.05).After intervention,the scores of stress injury behavior,skill and knowledge in the observation group were higher than those in the control group(P<0.05).The incidence of stress injury in the observation group was lower than that in the control group(P<0.05).There was significant difference in nursing satisfaction between the two groups(P<0.05).Conclusion Donabedian-based structure-process-result three-dimensional quality evaluation model can not only enhance the self-care ability of the patients undergoing bone tumor surgery,but also prevent stress injury,thus improving patient satisfaction.