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.

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 serological and molecular characteristics of asymptomatic HBV infection in HBV surface antigen positive (HBsAg+) blood donors from Dalian. Methods: The prevalence of HBsAg was analyzed among blood donors in Dalian between 2013 and 2022. Randomly selected HBsAg+ blood samples were subjected to HBV serological testing, HBV viral DNA quantification, and HBV genotyping. Results: Over this ten-year period, the prevalence of HBsAg decreased from 1.25% to 0.50% among blood donors in Dalian. Donors who tested positive for HBsAg prior to donation using a rapid test (RT) accounted for 92.5% of all HBsAg+ donors identified. A total of 240 confirmed HBsAg+ blood donors were randomly selected, including 125 donors with positive results and 115 with negative results in the pre-donation rapid test. HBsAg+ donors were mainly males (71.2%), with a median age of 42, and 97.5% of them being first-time donors. Based on HBV serological profiles, three stages of infection were identified: early infection (2.9%), suspected acute hepatitis (0.8%), and chronic infection (96.3%). The dominant HBV genotypes were C (68.9%) and B (28.4%). Among chronic HBV infection individuals, donors infected with HBV genotype B were older than those infected with genotype C (median age: 45y vs 38.5y, P<0.05). Additionally, they showed significantly lower HBsAg levels with a narrower distribution range than those infected with genotype C [median: 23.2 IU/mL (range: <0.05-7 910 IU/mL) vs 968 IU/mL (range: <0.05-3.4×10 ), P<0.05]. However, no significant difference was observed in the HBV DNA loads between these two genotypes (P>0.05). Conclusion: Between 2013 and 2022, the prevalence of HBsAg among blood donors in Dalian showed a year-over-year decline. Chronic infection was predominant among HBsAg+ first-time blood donors. The characteristics of chronic infection in blood donors differed significantly depending on the viral genotype, manifesting as differences in age of infected individuals and HBsAg level distribution.

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 investigate the clinical value of a fully autonomous ultrasound robot in splenic ultrasound imaging.Methods:A retrospective study was conducted by enrolling 56 adult volunteers from the Third Medical Center of the Chinese PLA General Hospital between February 1-8，2024 as research subjects.A senior physician sequentially performed splenic ultrasound examinations using both the fully autonomous ultrasound robot and a matched portable ultrasound device. The acquired images were randomly coded and scored via a double-blind method by 3 physicians. The differences of the image quality scores and high-quality image proportions between the two groups were compared. Examination durations were recorded and compared between the two groups.Results:Both modalities successfully acquired splenic images in all 56 volunteers. No statistically significant differences were observed in image quality scores among the 3 physicians：（3.52 ± 1.31）points vs.（3.83 ± 1.23）points，（2.77 ± 1.23）points vs.（3.17 ± 1.17）points，and（3.48 ± 0.97）points vs.（3.79 ± 0.94）points（all P>0.05）. The numbers of images scoring ≥ 3 points showed no significant differences：45（80.36%） vs. 50（89.29%），30（53.57%） vs. 38（67.86%），and 48（85.71%） vs. 52（92.86%）（all P>0.05）. The fully autonomous ultrasound robot required significantly longer examination time［（60.86 ± 50.55）s vs.（7.95 ± 4.35）s， t=6.88， P＜0.01］. Conclusions:The fully autonomous ultrasound robot demonstrates comparable image quality and clinically acceptable image proportions to conventional portable ultrasound in splenic examinations. These findings suggest its potential equivalence to operator-dependent ultrasound for splenic imaging，supporting its feasibility as an alternative ultrasound modality despite longer procedural duration.

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.