OBJECTIVE To enhance the training quality of anticoagulation specialty clinical pharmacists， address the resource limitations of a single training base， and promote homogenization of training quality. METHODS A multi-base joint training system for anticoagulation specialty clinical pharmacists in the Beijing area was established. A mixed research method was employed， collecting data through performance comparisons， questionnaires， and qualitative interviews to compare the differences between the joint training model （experimental group， n＝16） and traditional teaching model （the control group， n＝17）. RESULTS The established joint training system encompassed a unified joint training teaching plan， the formation of a joint training teaching team， the establishment of joint theoretical teaching courses， the implementation of joint case discussions and literature presentations， as well as strengthening the assessment throughout the joint training process. Compared to the control group [theoretical assessment of （76.44±3.66） points， case assessment of （84.31±3.27） points]， the experimental group students achieved higher scores in theoretical assessment （[ 79.85±4.64） points] and case assessment （[ 88.70±5.51） points] （P＜0.05）. Through questionnaires and qualitative interviews， the trainees in experimental group were highly satisfied with the joint training model in terms of theoretical learning， communication skills， and teaching interaction. CONCLUSIONS The multi-base collaborative training system for anticoagulation specialty clinical pharmacists can integrate advantageous resources and significantly enhance the training effectiveness of anticoagulation specialty clinical pharmacists， offering value for wider promotion.

[摘 要] 目的：观察白细胞介素-37（IL-37）在乳腺癌患者的表达变化对CD8+ T细胞活性的影响。方法：纳入2020年7月至2022年9月在新乡医学院第一附属医院就诊的46例乳腺癌患者、24例乳腺良性肿瘤患者、20例对照者。采集外周血，分离血浆和外周血单个核细胞（PBMC），收集接受手术治疗的乳腺癌患者肿瘤组织和癌旁组织，分离组织中肿瘤浸润淋巴细胞（TIL），纯化CD8+ T细胞。ELISA法检测IL-37、可溶型单免疫球蛋白IL-1受体相关蛋白（SIGIRR）表达，实时定量PCR法检测组织中IL-37 mRNA，流式细胞术检测CD8+ T细胞中IL-18受体α链（IL-18Rα）和SIGIRR表达。外源性IL-37刺激纯化的CD8+ T细胞，与乳腺癌细胞系MCF-7共培养，通过测定乳酸脱氢酶水平计算靶细胞死亡比例，ELISA法检测上清中穿孔素、颗粒酶B、干扰素-γ（IFN-γ）、肿瘤坏死因子-α（TNF-α）水平。结果：乳腺癌患者血浆IL-37水平高于乳腺良性肿瘤患者[（554.17 ± 96.63）pg/mL vs （499.52 ± 78.66）pg/mL，P = 0.020]和对照者[（483.97 ± 47.23）pg/mL，P = 0.003]。乳腺癌患者肿瘤组织中IL-37 mRNA相对表达量高于癌旁组织[（1.88 ± 0.21） vs （1.00 ± 0.53）pg/mL，P < 0.001]。外周血IL-18Rα+ CD8+细胞比例、SIGIRR+ CD8+细胞比例、血浆可溶型SIGIRR水平在乳腺癌患者、乳腺良性肿瘤患者、对照者之间的差异无统计学意义（均P > 0.05）。CD8+ TIL表达IL-18Rα和SIGIRR的比例在肿瘤组织和癌旁组织之间的差异无统计学意义（P > 0.05）。重组人IL-37刺激后，CD8+ T细胞诱导靶细胞死亡比例、上清中IFN-γ和TNF-α水平在直接接触和间接接触共培养系统中均低于无刺激（均P < 0.05）。在直接接触共培养系统中，IL-37刺激后上清中穿孔素和颗粒酶B水平均低于无刺激（均P < 0.001），但在间接接触共培养系统中，上清中穿孔素和颗粒酶B水平在无刺激和IL-37刺激之间的差异无统计学意义（均P > 0.05）。结论：乳腺癌患者中IL-37水平升高可能参与诱导外周血和肿瘤微环境中CD8+ T细胞功能衰竭。

Objective To construct large medical model named by "Huaxi HongYi"and explore its application effectiveness in assisting medical record generation. Methods By the way of a full-chain medical large model construction paradigm of "data annotation - model training - scenario incubation", through strategies such as multimodal data fusion, domain adaptation training, and localization of hardware adaptation, "Huaxi HongYi" with 72 billion parameters was constructed. Combined with technologies such as speech recognition, knowledge graphs, and reinforcement learning, an application system for assisting in the generation of medical records was developed. Results Taking the assisted generation of discharge records as an example, in the pilot department, after using the application system, the average completion times of writing a medical records shortened (21 min vs. 5 min) with efficiency increased by 3.2 time, the accuracy rate of the model output reached 92.4%. Conclusion It is feasible for medical institutions to build independently controllable medical large models and incubate various applications based on these models, providing a reference pathway for artificial intelligence development in similar institutions.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Objective: To analyze the influencing factors for anterior tibial artery atherosclerosis among patients with hyperuricemia, so as to provide insights into the prevention of anterior tibial artery atherosclerosis. Methods: Patients aged 18 years and older with hyperuricemia in Dazhou Integrated TCM & Western Medicine Hospital were enrolled as research subjects from 2020 to 2023. Demographic information and blood biochemistry indicators were collected through electronic medical records. Anterior tibial artery atherosclerosis was evaluated by color Doppler ultrasound. Factors affecting anterior tibial artery atherosclerosis among patients with hyperuricemia were analyzed by a multivariable logistic regression model. Results: A total of 1 105 patients with hyperuricemia were surveyed, including 862 males (78.01%) and 243 females (21.99%). There were 918 cases (83.08%) at the ages of 60 years and older, and 457 cases (41.36%) with a course of disease at 10 years and longer. The median level of blood uric acid was 480.79 (interquartile range, 98.28) μmol/L. There were 314 cases (28.42%) with anterior tibial artery atherosclerosis. Multivariable logistic regression analysis showed that body mass index (≥24.0 kg/m2, OR=1.597, 95%CI: 1.185-2.151), long-term smoking history (yes, OR=1.709, 95%CI: 1.153-2.534), diabetes mellitus (yes, OR=1.517, 95%CI: 1.162-1.981), serum uric acid (≥480.79 μmol/L, OR=1.667, 95%CI: 1.131-2.457), serum creatinine (≥97 μmol/L, OR=1.685, 95%CI: 1.155-2.460), fasting blood glucose (≥6.1 mmol/L, OR=1.528, 95%CI: 1.106-2.112), fibrinogen (>4 g/L, OR=1.589, 95%CI: 1.091-2.315) and triglycerides (≥1.7 mmol/L, OR=1.879, 95%CI: 1.226-2.881) were influencing factors for anterior tibial artery atherosclerosis among patients with hyperuricemia. Conclusion Anterior tibial artery atherosclerosis among patients with hyperuricemia is associated with long-term smoking, diabetes mellitus, serum uric acid, serum creatinine, fasting blood glucose, fibrinogen and triglycerides high level.

Lung transplantation is the optimal treatment for end-stage lung diseases and can significantly improve prognosis of the patients. However, postoperative complications such as infection, rejection, ischemia-reperfusion injury, and other challenges (like shortage of donor lungs) , limit the practical application of lung transplantation in clinical practice. Chinese research teams have been making continuous efforts and have achieved breakthroughs in basic research on lung transplantation by integrating emerging technologies and cutting-edge achievements from interdisciplinary fields, which has strongly propelled the development of this field. This article will comprehensively review the academic progress made by Chinese research teams in the field of lung transplantation in 2024, with a focus on the achievements of Chinese teams in basic research on lung transplantation. It aims to provide innovative ideas and strategies for key issues in the basic field of lung transplantation and to help China's lung transplantation cause reach a higher level.

Objective: To design and establish a new method for flow cytometry-based detection of commonly observed highly expressed antigens on red blood cells, and to further evaluate the differences and distribution characteristics of antigen expression levels between ABO blood type homozygotes and heterozygotes in healthy individuals. Methods: Residual blood samples after donor blood type identification by Shanghai Blood Center in April 2024 were collected. Among them, samples of 19 homozygous and 19 heterozygous individuals of type A and type B were selected. Then the expression level of ABO antigen on red blood cells were detected using the new method established in this study and the traditional aldehyde fixed red blood cell method. Both methods were tested independently three times and the results were compared. Results: The mean values of the three detection results of the new method was (×10 /RBC): AA homozygous 3.3±0.5, AO heterozygous 2.8±0.3, BB homozygous 3.6±0.3, BO heterozygous 3.1±2.8. The mean values of the three detection results of the aldehyde fixation method were AA homozygous 5.9±0.9, AO heterozygous 5.0±1.4, BB homozygous 3.8±0.6, and BO heterozygous 3.3±0.4. The average antigen distribution of each genotype followed a normal distribution. Comparing the average antigen expression levels of homozygotes and heterozygotes, both methods showed that A/B homozygotes had higher antigen levels than heterozygotes, with AA being 1.17 to 1.18 times that of AO and BB being 1.15 to 1.16 times that of BO. Comparing the inter batch differences in the three test results of two methods, the new method showed no significant difference in the three test results for four genotypes (P>0.05). The aldehyde fixation method showed significant differences in the test results for all three genotypes (P<0.01) except for BB homozygotes (P>0.05). The reliability and reproducibility of the new method were better than those of the traditional aldehyde fixation method. Conclusion: The antigen expression level of ABO homozygotes is higher than that of heterozygotes, and the difference in antigen level between type A homozygotes and heterozygotes is slightly higher than that of type B. The new method is superior to traditional aldolization fixation methods.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.

Objective: Accurate evaluation of inflammation severity in ulcerative colitis (UC) can guide treatment strategy selection. The potential value of the pericolic fat attenuation index (FAI) on CT as an indicator of disease severity remains unknown.This study aimed to assess the diagnostic accuracy of pericolic FAI in predicting UC severity. Materials and Methods: This retrospective study enrolled 148 patients (mean age 48 years; 87 males). The fat attenuation on CT was measured in four different locations: the mesocolic vascular side (MS) and opposite side of MS (OMS) around the most severe bowel lesion, the retroperitoneal space (RS), and the subcutaneous area. The fat attenuation indices (FAI MS, FAI OMS, and FAI RS) were calculated as the fat attenuation measured in MS, OMS, and RS, respectively, minus that of the subcutaneous area, and were obtained in the non-enhanced, arterial, and delayed phases. Correlations between the FAI and UC Endoscopic Index of Severity (UCEIS) were assessed using Spearman’s correlation. Predictors of severe UC (UCEIS ≥7) were selected by univariable analysis. The performance of FAI in predicting severe UC was evaluated using the area under the receiver operating characteristic curve (AUC). Results: The FAIMS and FAI OMS scores were significantly higher than FAI RS in three phases (all P < 0.001). The FAIMS and FAI OMS scores moderately correlated with the UCEIS score (r = 0.474–0.649 among the three phases). Additionally, FAI MS and FAI OMS identified severe UC, with AUC varying from 0.77 to 0.85. Conclusion Increased CT attenuation of pericolic adipose tissue could serve as a noninvasive marker for evaluating UC severity. FAI MS and FAI OMS of three phases showed similar prediction accuracies for severe UC identification.