OBJECTIVE To investigate the effect of pharmaceutical services guided by root cause analysis （RCA） in a problem-oriented manner combined with knowledge-attitude-practice （KAP） theory on reducing the incidence of protocol violations of investigational medicinal products in pediatric clinical trials. METHODS A total of 617 participants from 69 drug clinical trial projects conducted in our hospital from January 2016 to December 2020 were selected as the control group， and 868 participants from 72 drug clinical trial projects from January 2022 to December 2025 as the observation group. RCA was performed on the protocol violations of investigational medicinal product in the control group to identify the types and underlying causes. The control group received routine pharmaceutical services for drug clinical trials， while the observation group was provided with precision pharmaceutical services from the three dimensions of knowledge， attitude and practice on the basis of routine pharmaceutical services， according to the root causes identified by RCA. The occurrence of investigational medicinal products protocol violations was compared between the two groups. RESULTS The total incidence of protocol violations of investigational medicinal products， as well as the incidences of minor and major protocol violations， were all significantly lower in the observation group than in the control group （ P ＜0.001）. The main types of protocol violations in both groups included missed/under-/over-dosing of medications， non-adherence to administration time， failure to adjust dosage as required， and combined medication/vaccination in violation of the protocol. Regarding the responsible subjects of protocol violations， the incidences of protocol violations attributed to participants and their guardians as well as investigators and accidental factors were significantly lower in the observation group than in the control group （ P ＜0.001， P ＜0.001， P ＝0.025）. However， there were no statistically significant differences in the incidences of protocol violations caused by sponsor-related reasons between the two groups （ P ＞0.05）. CONCLUSIONS Pharmaceutical services led by pharmacists， based on problem-oriented RCA and combined with KAP theory， can effectively reduce the protocol violations of investigational medicinal products rate in pediatric clinical trials， thereby safeguarding the safety and rights of study participants.

Objective To analyze the epidemiological characteristics of statutory infectious diseases in Yichang City from 2015 to 2023 and evaluate the effectiveness of non-pharmaceutical interventions (NPIs) in infectious disease prevention and control, and to provide a basis for formulating prevention and control strategies. Methods Descriptive epidemiological methods were used to analyze annual incidence rates. SARIMA and SARIMA intervention models were constructed to predict the incidence rates of infectious diseases. Interrupted time series analysis (ITS) was applied to assess the control effectiveness. Results The average annual incidence rate from 2015 to 2023 was 787.47/100 000, with the top five diseases being influenza, hand-foot-and-mouth disease, hepatitis B, tuberculosis, and diarrheal diseases. The average incidence rate from 2015 to 2019 (654.31/100 000) was significantly higher than that from 2020 to 2022 (489.01/100 000) (χ²= 3 499.6, P < 0.05). The total incidence rate in 2023 (2 396.51/100 000) was significantly higher than the average annual incidence rates from 2015-2019 (χ²= 108 186.1, P < 0.05) and 2020-2022 (χ²= 112 869.4, P < 0.05). SARIMA model results indicated that the actual incidence rate from 2020 to 2022 decreased by 73.49% compared to the predicted rate without intervention, with the highest decline observed in respiratory infectious diseases (79.57%). The SARIMA-intervention model showed a 55.48% relative decrease in the total incidence rate for 2023, with the largest reduction in respiratory infectious diseases (63.28%) and a slight increase in intestinal infectious diseases (5.48%). Conclusion NPIs effectively reduce the incidence of statutory infectious diseases in the short term, especially for acute respiratory and intestinal infectious diseases. However, long-term effectiveness faces challenges, necessitating the development of differentiated prevention and control strategies.

In the context of the modernization of traditional Chinese medicine （TCM）， the inheritance of the experiences of famous doctors faces significant challenges due to its complex nonlinear characteristics and dynamic evolution. There are still issues in the current inheritance system， such as the homogenization of talent cultivation models， lack of standardized mentoring practices， and monotonous evaluation method， which hinder the systematic inheritance and innovative development of famous doctors' experiences. Based on a systematic review of the current state of artificial intelligence （AI）-assisted inheritance of famous doctors' experiences， this study explores innovative pathways for deep integration of modern information technologies with famous doctors' experiences from key dimensions， including data authenticity assurance， interdisciplinary collaboration mechanisms， and the establishment of dynamic inheritance standards. It proposes a paradigm shift in the inheritance of TCM famous doctors' experiences in the AI era， aiming to build a new TCM inheritance system of "digital intelligence empowerment and cross-disciplinary innovation"， providing theoretical support and practical pathways for the inheritance of famous doctors' experiences in TCM.

Objective:To retrospectively analyze and explore the indications, methods and prognosis of optic nerve decompression (OND) in endoscopic surgery for benign fibro-osseous lesions (FOLs) of the nasal and skull base.Methods:Among 217 cases of craniofacial fibro-osseous lesions from July 2008 to January 2025 who were treated in the Otolaryngology Head and Neck Surgery Department of Beijing Tongren Hospital Affiliated to Capital Medical University, 14 patients (6.45%, 14/217) who underwent endoscopic resection of the lesion and OND under image navigation were included in this study, including 8 males and 6 females, aged from 4 to 28 years old. Among the 14 patients, 8 had fibrous dysplasia, 5 had ossifying fibroma, and 1 had osteoma. Clinical data, imaging data, surgical data and follow-up results were collected. Best corrected visual acuity (BCVA) and other indicators before and after treatment were recorded for analysis. Statistical analysis was conducted using SPSS 26.0 software.Results:Among 14 patients, preoperative visual decline involved 17 eyes (all 8 fibrous dysplasia cases, 2/5 ossifying fibroma cases, and 1 osteoma case). Surgical approaches included: partial resection for fibrous dysplasia (8 cases; bilateral decompression in 5, unilateral in 3); total resection for ossifying fibroma (3 cases; bilateral decompression in 2, unilateral in 1) or partial resection with bilateral decompression (2 cases, including 1 aneurysmal bone cyst); and total resection with unilateral decompression for osteoma (1 case). After the operation, the vision of 10 eyes (58.82%, 10/17) had been improved. Among the 5 eyes with severe visual impairment before the operation (no light perception/light perception/exponential vision), 2 eyes improved (1 eye from no light perception to light perception, and 1 eye from visual perception to exponential vision). Eight cases (10 eyes) of patients with proptosis improved after the operation. The proptosis before and after the operation were (16.60±1.71) mm and (13.60±1.35) mm ( P<0.05). Conclusions:For patients with benign FOLs involving the optic canal at the nasal and skull base who have visual impairment, OND via endoscopic endonasal approach can achieve visual salvage effects. Those with better preoperative residual vision have significant improvement in BCVA, so the operation should be performed as early as possible.

Objective:To investigate whether herb cake-insulated moxibustion affects the expression of cholesterol metabolism-related protein 3-hydroxy-3-methylglutaryl coenzyme A reductase(HMGR)and inhibits the development of atherosclerosis by regulating the exosomal miR-223 expression.Methods:Thirty-six male New Zealand rabbits were randomly assigned to a normal group,a model group,and an herb cake-insulated moxibustion group,with 12 rabbits in each group.The model and the herb cake-insulated moxibustion groups were fed a high-fat diet for 8 weeks to induce an atherosclerosis model.Following successful modeling,the herb cake-insulated moxibustion group was subjected to bundling and herb cake-insulated moxibustion intervention,while the other two groups were subjected only to bundling without moxibustion.After 8 weeks of intervention,hematoxylin-eosin(HE)staining was used to observe aortic morphology;the serum levels of total cholesterol(TC),triglyceride(TG),and low-density lipoprotein cholesterol(LDL-C)were detected using an automatic biochemical analyzer in each group.Exosome morphology was observed using the transmission electron microscope;Western blotting(WB)was used to detect the protein levels of serum exosomal CD63 and CD9 markers,as well as liver HMGR;additionally,real-time fluorescence quantitative polymerase chain reaction was used to quantify serum exosomal miR-223.Results:HE staining showed thickened aortic intima,lipid infiltration,foam cell aggregation,and structural damage to the arterial wall in the model group.Meanwhile,after modeling,the serum levels of LDL-C,TC,and TG increased significantly in the model and herb cake-insulated moxibustion groups compared to the normal group(P<0.05),suggesting successful atherosclerosis rabbit model preparation.The serum exosomes of rabbits in the model group exhibited a saucer-like or semi-concave spherical shape with diameters of 120-150 nm.WB detection results showed positive expression of the exosomal markers CD63 and CD9.After 8 weeks of intervention,the miR-223 level in the model group was significantly lower than that in the normal group(P<0.01).In contrast,the herb cake-insulated moxibustion group demonstrated significantly reduced serum levels of TC,TG,and LDL-C(P<0.05),increased miR-223 expression(P<0.01),and decreased relative liver HMGR protein expression(P<0.05)compared to the model group.Conclusion:Herb cake-insulated moxibustion may alleviate the progression of atherosclerosis by up-regulating exosomal miR-223 expression and down-regulating HMGR protein expression,thereby inhibiting cholesterol anabolic metabolism.

Objective To analyze the medication rules of traditional Chinese medicine in treating breast cancer based on real-world data mining.Methods Inpatients with breast cancer who received traditional Chinese medicine treatment at the Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from January 2017 to December 2021 were selected.Python 3.10 software was used to mine traditional Chinese medicine prescription data;SPSS 23.0 software was applied for descriptive analysis,and systematic cluster analysis was performed on high-frequency drugs.Results A total of 3026 consultation records of inpatients with breast cancer were collected.The main traditional Chinese medicine syndrome diagnosis of"predominantly liver depression and Qi stagnation"accounted for 60.94％of the total consultations.A total of 240 kinds of traditional Chinese medicine were used,with a cumulative frequency of 35 462 times.Among them,29 kinds of traditional Chinese medicine such as Danggui,Fuling,Baizhu,Chaihu had a cumulative usage frequency exceeding 300 times.Regarding the four natures of drugs,cold-natured(43.55％),warm-natured(30.05％),and neutral-natured(23.34％)drugs were predominant;In terms of five flavors,sweet(46.12％),bitter(30.91％),and pungent(20.02％)were the main ones.The most frequently used drugs were tonifying herbs(32.77％),followed by heat-clearing herbs(15.96％)and phlegm-resolving herbs(14.71％).Systematic cluster analysis yielded 7 groups of drug combinations.Conclusion In real-world clinical practice,traditional Chinese medicine for breast cancer mainly uses tonifying herbs,reflecting the traditional Chinese medicine principle of"strengthening healthy Qi and cultivating the root"in treating tumors.The four natures and five flavors of drugs follow syndrome differentiation and the combination of cold and heat.The clustered drug combinations have extensive therapeutic effects,covering various syndromes of breast cancer at different stages,which can provide a reference for clinical medication.

Objective:To identify the relevant factors for the first-course remission of acute myeloid leukemia (AML) and to develop a predictive model as well as assess its predictive capability.Methods:Clinical data of 749 patients newly diagnosed with AML admitted to the Department of Hematology, the First Affiliated Hospital, Zhejiang University, School of Medicine from January 1, 2019, to April 30, 2023, were collected and randomly divided into training and validation sets. Multivariate logistic regression analysis was conducted to determine variables associated with complete remission in the first course of induction therapy, and a predictive model was established based on these variables. The receiver operating characteristic (ROC) curve of the predictive model was plotted, and the area under the curve (AUC) was calculated.Results:The indicators predicting the first remission course included peripheral blood white blood cell count during onset, CBF::MYH11 fusion gene, CEBPA bZIP region mutation, myelodysplastic syndrome-related gene mutation, and induction chemotherapy regimen selection as independent factors for the first remission course. The model’s area under the training and validation curves was 0.738 (95% CI: 0.696-0.780) and 0.726 (95% CI: 0.650-0.801), respectively. The Hosmer-Lemeshow test results yielded P-values of 0.993 and 0.335, respectively. Conclusion:In this study, the developed model demonstrates a strong predictive capability for the efficacy of the first course of patients with AML, providing valuable guidance to clinicians in assessing patient prognosis and selecting appropriate treatment strategies.

Multimorbidity has become a widely recognized public health problem worldwide. Identifying multimorbidity patterns can improve not only the efficiency of healthcare resource utilization but also patients' prognosis. This article summarizes three common approaches for the identification of multimorbidity patterns: association analysis methods (including association rule mining and network analysis), classification methods (including cluster analysis, latent class analysis, and latent transition analysis), and dimensionality reduction and feature extraction methods (including principal component analysis, factor analysis, and multiple correspondence analysis), introduces the application of these methods using data from the UK Biobank to identify multimorbidity patterns and discusses and compares the results of case analysis to provide reference for the selection of appropriate methods for multimorbidity pattern research.

OBJECTIVE: To investigate the predictive role of the modified Endothelial Activation and Stress Index (mEASIX) in the efficacy of chimeric antigen receptor T-cell (CAR-T) therapy and cytokine release syndrome (CRS). METHODS: The clinical data of 70 relapsed and refractory (R/R) B-cell tumor patients who were treated with CAR-T therapy from September 1, 2018 to February 28, 2023 in the Department of Hematology, Affiliated Hospital of Xuzhou Medical University, were retrospectively analyzed. The value of log-2 mEASIX before conditioning (-7 d) was calculated, and the patients were divided into a low-mEASIX group (42 patients) and a high-mEASIX group (28 patients) based on the cut-off value of 5.443 determined by the receiver operating characteristic (ROC) curve. Eventually, the predictive role of mEASIX before conditioning on the efficacy of CAR-T cell therapy and CRS was analyzed. RESULTS: The high-mEASIX group exhibited significantly worse median overall survival (OS) and median progression-free survival (PFS) in comparison to the low mEASIX group (OS: 3.2 months vs not reached, P < 0.01; PFS: 1.3 months vs 6.0 months, P =0.009). The incidence of grade ≥2 CRS in the high-mEASIX group was substantially higher than that in the low-mEASIX group (57.1% vs 19.0%, P =0.007). The degree of remission after CAR-T therapy (P =0.001), whether CRS occurs or not (P =0.041), the lactate dehydrogenase (LDH) level before conditioning (P =0.046), and the mEASIX score before conditioning (P =0.047) were independent influencing factors for the OS of patients receiving CAR-T cell therapy. CONCLUSION The mEASIX score before conditioning can predict OS and the incidence of grade ≥2 CRS in patients with relapsed and refractory B-cell tumors who receive CAR-T cell therapy.
Cytokine Release Syndrome/therapy* ; Immunotherapy, Adoptive/methods* ; Humans ; Lymphoma, B-Cell/therapy* ; Retrospective Studies ; Hematology ; China ; Receptors, Chimeric Antigen/blood* ; Predictive Value of Tests

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged