OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

OBJECTIVE To investigate the construction and practice of a drug traceability code management system in pediatric hospitals， providing a reference for promoting drug traceability code collection in healthcare institutions. METHODS Taking the outpatient pharmacy of our hospital as the research subject， a drug traceability code management system was constructed through the upgrade of the hospital information system （HIS）， process optimization， and human-machine collaboration mechanism. The PDCA （plan-do-check-act） cycle management method was applied to continuously optimize this system. Based on operational data from March 2024 to February 2025， the changes in the collection rate of drug traceability codes were analyzed， and the differences in the average patient pickup time， the average pharmacist dispensing time， and the dispensing error rate were compared before and after the implementation of the system. RESULTS In the initial period of trial operation of the drug traceability code management system（June 2024）， the collection rate of drug traceability codes was 57.17%， which subsequently improved to 93.52% by February 2025 following process optimization. Compared with the pre-implementation period （March-May 2024）， there was no significant difference （P＞0.05） in the average patient pickup time during the stable run-in period （August-October 2024）； the overall average pharmacist dispensing time increased significantly （P＜0.001）， but the clinical significance of this increase （0.42 s） was limited； stratified analyses showed a significant increase in the average pharmacist dispensing time for prescriptions involving chronic disease multidrug combinations （[ 23.29±6.83） s vs. （17.87±3.64 ） s， P＜0.001]； the dispensing error rate was reduced from 0.13‰ to 0.03‰ （P＝0.038）. CONCLUSIONS By adopting the strategy of “system reconstruction-process reengineering-human-machine collaboration”， our hospital has successfully established a drug traceability code management system. While complying with national regulatory requirements， we have maintained service efficiency and reduced the medication dispensing error rate.

OBJECTIVE: To develop and compare risk prediction models for in-hospital post-cardiac arrest brain injury (PCABI) in critically ill patients using nomograms and random forest algorithms, aiming to identify the optimal model for early identification of high-risk PCABI patients and providing evidence for precise treatment. METHODS: A retrospective cohort study was used to collect the first-time in-hospital cardiac arrest (IHCA) patients admitted to the intensive care unit (ICU) from 2008 to 2019 in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) as the study population, and the patients' age, gender, body mass, health insurance utilization, first vital signs and laboratory tests within 24 hours of ICU admission, mechanical ventilation, and critical care scores were extracted. Independent influencing factors of PCABI were identified through univariate and multivariate Logistic regression analyses. The included patients were randomly divided into a training cohort and an internal validation cohort in a 7:3 ratio, and the PCABI risk prediction model was constructed by the nomogram and random forest algorithm, respectively, and the model was evaluated by receiver operator characteristic curve (ROC curve), the calibration curve, and the decision curve analysis (DCA), and after the better model was selected, 179 patients admitted to Tianjin Medical University General Hospital as the external validation cohort for external evaluation were collected by using the same inclusion and exclusion criteria. RESULTS: A total of 1 419 patients with without traumatic brain injury who had their first-time IHCA were enrolled, including 995 in the training cohort (including 176 PCABI and 819 non-PCABI) and 424 in the internal validation cohort (including 74 PCABI and 350 non-PCABI). Univariate and multivariate analysis showed that age, potassium, urea nitrogen, sequential organ failure assessment (SOFA), acute physiology and chronic health evaluation III (APACHE III), and mechanical ventilation were independent influences on the occurrence of PCABI in patients with IHCA (all P < 0.05). Combining the above variables, we constructed a nomogram model and a random forest model for comparison, and the results show that the nomogram model has better predictive efficacy than the random forest model [nomogram model: area under the ROC curve (AUC) of the training cohort = 0.776, with a 95% credible interval (95%CI) of 0.741-0.811; internal validation cohort AUC = 0.776, with a 95%CI of 0.718-0.833; random forest model: AUC = 0.720, with a 95%CI of 0.653-0.787], and they performed similarly in terms of calibration curves, but the nomogram performed better in terms of decision curve analysis (DCA); at the same time, the nomogram model was robust in terms of external validation cohort (external validation cohort AUC = 0.784, 95%CI was 0.692-0.876). CONCLUSIONS A nomogram risk prediction model for the occurrence of PCABI in critically ill patients was successfully constructed, which performs better than the random forest model, helps clinicians to identify the risk of PCABI in critically ill patients at an early stage and provides a theoretical basis for early intervention.
Humans ; Critical Illness ; Retrospective Studies ; Heart Arrest/complications* ; Nomograms ; Brain Injuries/etiology* ; Intensive Care Units ; Algorithms ; Male ; Female ; Middle Aged ; ROC Curve ; Risk Factors ; Risk Assessment ; Logistic Models ; Aged

Objective:To overview the systematic reviews/meta-analyses of TCM treatment for gastroesophageal reflux disease (GERD); To provide evidence-based support for clinical decision-making in the treatment of GERD with Chinese materia medica.Methods:Systematic reviews/meta-analyses of RCTs about the treatment of GERD with Chinese materia medica were retrieved from databases of CNKI, Wanfang Data, Chongqing VIP, CBM, EMbase, PubMed and Cochrane Library from January 1, 2018 to December 31, 2023. AMSTAR 2 scale, PRISMA 2020 and GRADE system were used to evaluate the methodological quality, reporting quality and evidence quality of the included studies.Results:A total of 19 systematic reviews/meta-analyses were included. The AMSTAR 2 evaluation showed that 17 of the included studies were rated as low-quality, and 2 were rated as extremely low-quality. The PRISMA 2020 evaluation results showed that the included literature scored 14.5-21 points, with 18 articles having certain reporting defects and 1 article having serious reporting defects. The GRADE evaluation results showed 1 high-quality index, 31 medium-quality indexes, 34 low-quality indexes, and 10 extremely low-quality indexes.Conclusion:TCM has a certain therapeutic effect on GERD, but the overall methodological quality, reporting quality, and evidence quality still need to be further improved.

Humans ; Aged ; Lung Diseases ; Pneumonia/drug therapy* ; Adrenal Cortex Hormones/therapeutic use* ; Pulmonary Disease, Chronic Obstructive/drug therapy* ; Administration, Inhalation ; Community-Acquired Infections/drug therapy*

Objective To investigate the release kinetics of Zn2+ from nZCP-loaded polylactic acid/hydroxyapatite(PLA/HA)composite scaffold(PHZ)and determine the optimal nZCP content in the scaffold.Methods The particle size of nZCP was measured by DLS measurement,and PXRD,FTIR,and SEM were used to characterize the scaffolds and nZCP distribution;EDS was used to analyze element composition of the scaffold.Compression strength of the scaffold was determined,and ion release profile was investigated using ICP-MS.The biocompatibility of the materials was evaluated by CCK-8 assay and dead/alive staining of rat bone marrow stem cells(BMSCs)incubated with their aqueous extracts.ALP staining,alizarin red staining,RT-qPCR,and Western blotting were used to assess the osteogenic potential of the treated cells.In a rat model of bilateral ovariectomy(OVX)with femoral condylar bone defect,PHZ-1,PHZ-2,PHZ-3 or PLA/HA scaffold was implanted into the bone defect,and bone repair was observed using a microCT scanner and histological staining at 6 and 12 weeks.Results DLS,PXRD,SEM,FTIR,and EDS confirmed successful synthesis of 10-nm ZCP and efficient nZCP loading in the scaffold.PHZ-2 and PHZ-3 had significantly greater compression strength than PLA/HA.ICP-MS showed that Zn2+ release from PHZ-1,PHZ-2 and PHZ-3 were all optimal for promoting osteogenesis.In rat BMSCs,all the 4 scaffolds showed good biocompatibility,and their extracts enhanced ALP activity and extracellular matrix mineralization and promoted expressions of ALP,RUNX2,and OCN in the cells.In the rat models,nZCP in the implants improved bone graft integration at 6 weeks,and PHZ-2 and PHZ-3 more effectively induced new bone formation at 12 weeks(P<0.05).Conclusion PHZ scaffold is capable of stable Zn2+ release to promote osteoporotic bone defect healing,and PHZ-2 and PHZ-3 scaffolds with nZCP mass fraction of 4.5%-7.5%have better osteogenic activity.

Objective To investigate the release kinetics of Zn2+ from nZCP-loaded polylactic acid/hydroxyapatite(PLA/HA)composite scaffold(PHZ)and determine the optimal nZCP content in the scaffold.Methods The particle size of nZCP was measured by DLS measurement,and PXRD,FTIR,and SEM were used to characterize the scaffolds and nZCP distribution;EDS was used to analyze element composition of the scaffold.Compression strength of the scaffold was determined,and ion release profile was investigated using ICP-MS.The biocompatibility of the materials was evaluated by CCK-8 assay and dead/alive staining of rat bone marrow stem cells(BMSCs)incubated with their aqueous extracts.ALP staining,alizarin red staining,RT-qPCR,and Western blotting were used to assess the osteogenic potential of the treated cells.In a rat model of bilateral ovariectomy(OVX)with femoral condylar bone defect,PHZ-1,PHZ-2,PHZ-3 or PLA/HA scaffold was implanted into the bone defect,and bone repair was observed using a microCT scanner and histological staining at 6 and 12 weeks.Results DLS,PXRD,SEM,FTIR,and EDS confirmed successful synthesis of 10-nm ZCP and efficient nZCP loading in the scaffold.PHZ-2 and PHZ-3 had significantly greater compression strength than PLA/HA.ICP-MS showed that Zn2+ release from PHZ-1,PHZ-2 and PHZ-3 were all optimal for promoting osteogenesis.In rat BMSCs,all the 4 scaffolds showed good biocompatibility,and their extracts enhanced ALP activity and extracellular matrix mineralization and promoted expressions of ALP,RUNX2,and OCN in the cells.In the rat models,nZCP in the implants improved bone graft integration at 6 weeks,and PHZ-2 and PHZ-3 more effectively induced new bone formation at 12 weeks(P<0.05).Conclusion PHZ scaffold is capable of stable Zn2+ release to promote osteoporotic bone defect healing,and PHZ-2 and PHZ-3 scaffolds with nZCP mass fraction of 4.5%-7.5%have better osteogenic activity.

Objective:To evaluate the diagnostic value of peripheral blood circulating tumor cells (CTC) and serum pepsinogen (PG) I for early gastric cancer (EGC).Methods:A case-control study was conducted utilizing the clinical data of 102 patients with gastric mucosal lesions treated at Shaanxi Provincial Cancer Hospital between January 2021 and December 2022. Based on the diagnostic outcomes, these patients were categorized into a benign lesion group ( n = 54) and an EGC group ( n = 48). Patient demographics were compared between the two groups. Additionally, CTC and PG I-positive rates were compared between the two groups. The diagnostic effectiveness of CTC and serum PG I alone in identifying EGC was evaluated. Independent factors influencing EGC diagnosis were analyzed, and the predictive diagnostic value of CTC and serum PG I for EGC was calculated. Results:There was no statistically significant difference in gender and age between the two groups (both P > 0.05). The positivity rates of CTC and serum PG I in the EGC group were 79.17% (38/48) and 70.83% (34/48), respectively, which were significantly higher than those in the benign lesion group [14.81% (8/54), 20.37% (11/54), χ2 = 42.50, 26.25, both P < 0.001]. The diagnostic sensitivity, specificity, positive predictive value, and negative predictive value of CTC and serum PG I alone did not show statistically significant differences in diagnosing EGC (all P > 0.05). Multivariate logistic regression analysis revealed that CTC and serum PG I positivity were independent risk factors for EGC ( OR = 20.20, 8.57, both P < 0.05). Using CTC, serum PG I, and the P-value prediction probability derived from the logistic regression model, the Jordan indices for predicting the diagnosis of EGC were 0.643, 0.504, and 0.633, respectively. Conclusion:The combination of CTC and PG I is highly significant for the diagnosis of EGC, and two detection methods are crucial for accurate risk assessment of EGC.

In order to strengthen standardized residency training process management, Union Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology combines informatization with teaching case library and establishes and improves the process of teaching case filling from the three aspects of the module for residency teaching case filling, the module for instructor feedback, and the module for functional department management, thereby establishing a teaching case system centered on residents and based on the standardized residency training process management and supporting the innovation of standardized residency training pattern with an integrated teaching platform, which provides new methods for the connotation construction of standardized residency training.

Objective:To investigate the changes of serum miR-210, miR-30a and miR-16 in patients with type 2 diabetes mellitus (T2DM) combined with osteoporosis (OP) and to analyze the influencing factors.Methods:Eighty patients with T2DM admitted to our hospital from May. 2019 to May. 2022 were prospectively selected for the study, and the patients were divided into 42 patients with T2DM combined with OP and 38 patients with T2DM without OP according to whether the patients were combined with OP. Another 40 cases were selected as the control group during the same period of physical examination. We compared the differences of miR-210, miR-30a and miR-16 among the groups, and analyzed the diagnostic value of miR-210, miR-30a and miR-16 on T2DM combined with OP by ROC curve, and analyzed the influencing factors of T2DM combined with OP by binary logistic regression. miR-210, miR-30a and miR-16 were analyzed by Spearman correlation. Spearman correlation analysis of miR-210, miR-30a, miR-16 and T2DM combined OP related indexes.Results:The differences of miR-210, miR-30a, and miR-16 were statistically significant between groups ( F=24.13, 62.69, 307.26, P<0.05), and the control group < T2DM uncomplicated OP group < T2DM combined OP group ( P<0.05). ROC curve analysis showed that miR-210, miR-30a, and miR-16 The AUCs for the diagnosis of T2DM combined with OP were 0.779, 0.854 and 0.973 in order, all of which had some accuracy in diagnosis. Binary logistic multi-factor regression analysis showed that the duration of T2DM disease, glycosylatedhemoglobin (HbA1c), type I collagen carboxy-terminal peptide β special series (β-CTX) were all risk factors for T2DM combined with OP ( P<0.05), body mass index (BMI. BMI, parathyroid hormone (PTH), 25-hydroxyvitamin D3monohydrate (25 (OH) D3), bone Gla protein (BGP), bone mineral density (BMD) were all risk factors for T2DM combined with OP ( P<0.05). Spearman correlation analysis showed that miR-210, miR-30a and miR-16 were negatively correlated with BGP and BMD ( r=-0.668/-0.592/-0.599, -0.671/-0.609/-0.593) and positively correlated with β-CTX ( r=0.670/0.603/0.605) . Conclusion:miR-210, miR-30a and miR-16 are highly expressed in the serum of patients with T2DM combined with OP, and the duration of T2DM, HbA1c and β-CTX were all risk factors for T2DM combined with OP, and BMI, PTH, 25 (OH) D3, BGP and BMD are all protective factors for T2DM combined with OP.