Objective To investigate the serum levels of CC chemokine ligand(CCL)8 and CCL22 in chil-dren with severe Mycoplasma pneumoniae pneumonia(SMPP)and their clinical significance.Methods A to-tal of 103 children with SMPP admitted to the hospital from January 2021 to June 2023 were selected as the SMPP group.According to the simplified pediatric critical illness score,they were divided into non-critical group(37 cases),critical group(40 cases),and extremely critical group(26 cases).According to the prognosis of 28 d after admission,the patients were divided into poor prognosis group(22 cases)and good prognosis group(81 cases).At the same time,a total of 60 children with mild Mycoplasma pneumoniae pneumonia(MMPP)were enrolled as the MMPP group,and 60 healthy children who underwent physical were enrolled as the control group.Enzyme-linked immunosorbent assay was used to detect serum levels of CCL8,CCL22,C-reactive protein(CRP),procalcitonin(PCT),tumor necrosis factor-α(TNF-α),and interleukin-6(IL-6).Pearson or Spearman correlation analysis was used to analyze the relationship between CCL8,CCL22 levels and CRP,PCT,TNF-α,IL-6 and the disease severity.Multivariate Logistic regression was used to analyze the influencing factors for the poor prognosis of children with SMPP.The receiver operating characteristic(ROC)curve was used to evaluate the value of CCL8 and CCL22 in predicting the poor prognosis of children with SMPP.Re-sults Compared with the control group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 were signifi-cantly increased in the SMPP group and MMPP group(P<0.05),and the levels of the above indexes in the SMPP group were significantly higher than those in the MMPP group(P<0.05).Compared with the non-critical group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 in the extremely critical group and the critical group were increased(P<0.05),and the levels of the above indexes in the extremely critical group were increased more significantly than those in the critical group(P<0.05).The levels of CCL8 and CCL22 in SMPP group were positively correlated with disease severity,CRP,PCT,TNF-α and IL-6(P<0.05).Com-pared with the good prognosis group,the levels of CCL8,CCL22,CRP,PCT,TNF-α and IL-6 in the poor prog-nosis group were increased(P<0.05).Increased serum levels of CRP,PCT,TNF-α,IL-6,CCL8,and CCL22 were independent risk factors for poor prognosis in children with SMPP(P<0.05).The area under the curve of serum CCL8,CCL22 and their combination for predicting poor prognosis was 0.807,0.801 and 0.907,re-spectively.The predictive value of combined detection of CCL8 and CCL22 was greater than that of each index alone(Z=1.811,1.864,P=0.029,0.025).Conclusion The serum levels of CCL8 and CCL22 are increased in children with SMPP,and are closely related to the severity and prognosis of the disease.Early combined de-tection of CCL8 and CCL22 can be used as a marker to predict the poor prognosis of children with SMPP.

Objective:To explore the mechanism of Zhuanggu Zhitong Prescription in preventing and treating postmenopausal osteoporosis.Methods:Rats were randomly divided into blank group, model group, Zhuanggu Zhitong Prescription high-, medium-, and low-dosage groups, and an estradiol group, with 10 rats in each group. Except for the blank group, all other groups of rats underwent bilateral oophorectomy to remove the ovaries, in order to prepare a postmenopausal osteoporosis rat model. On the 5th day after modeling, the blank group and model group were orally administered with 0.9% NaCl physiological saline, Zhuanggu Zhitong Prescription high-, medium-, and low-dosage groups were orally administered with 13.2, 8.2, and 3.3 g/kg of Zhuanggu Zhitong Prescription, and the estradiol group was orally administered with 0.016 7 g/100 g estradiol aqueous solution once a day for 12 consecutive weeks. The bone density of the lumbar spine in rats was measured; immunohistochemistry and Western blot were used to detect the expressions of Notch1, Jagged1, and Hes1 proteins; PCR was used to detect the mRNA levels of Notch1, Jagged1, and Hes1 in rats.Results:Compared with the model group, the bone density of rats in each group significantly increased ( P<0.01), the protein and mRNA levels of Notch1 and Jagged1 increased ( P<0.01), and the protein and mRNA levels of Hes1 decreased ( P<0.01). Conclusions:Zhuanggu Zhitong Prescription can improve bone mineral density in castrated osteoporosis rats, promote the increase and thickening of trabeculae of femoral bone in rats, promote bone formation, and further prevent osteoporosis. The mechanism may be related to the activation of Notch signaling pathway, up-regulation of Notch1 and Jagged1 proteins, and decrease of Hes1 protein expression, thus promoting bone differentiation.

Objective:To explore the mechanism of Zhuanggu Zhitong Prescription in preventing and treating postmenopausal osteoporosis.Methods:SD female rats were randomly divided into six groups using the random number table method: blank group, model group, estradiol group, and Zhuanggu Zhitong Prescription low-, medium-, and high-dosage groups. Except for the blank group, all other groups underwent ovariectomy to induce a postmenopausal osteoporosis model over a 3-month period. After successful modeling, the Zhuanggu Zhitong Prescription low-, medium-, and high-dosage groups received intragastric administration of Zhuanggu Zhitong aqueous solution at dosages of 3.3 g/kg, 8.2 g/kg, and 13.2 g/kg, respectively. The estradiol group received intragastric administration of an estradiol solution at a dosage of 0.167 mg/kg. Both the blank group and the model group received intragastric administration of an equal volume of normal saline once daily for 12 weeks. The bone density of rat femur tissue was detected. Immunohistochemistry, real-time fluorescence quantitative PCR, and Western blot were used to detect the protein or mRNA levels of Wnt3a, β-catenin, and short stature related transcription factor 2 (Runx2).Results:Compared with the model group, the bone mineral density of lumbar vertebrae increased in the estradiol group and the Zhuanggu Zhitong Prescription low-, medium-, and high-dosage groups ( P<0.01). Additionally, the mean optical density, as well as the mRNA and protein expression levels of Wnt3a, β-catenin, and Runx2 in femur tissue also increased ( P<0.01). Conclusions:Zhuanggu Zhitong Prescription can improve bone mineral density in castrated osteoporosis rats, promote the increase and thickening of femoral bone trabeculae, promote bone formation, and prevent osteoporosis. The mechanism may be related to the activation of Wnt/β-catenin signaling pathway to up-regulate the expressions of Wnt3a and Runx2, thus promoting bone differentiation.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Quality control is a key link in the modernization process of traditional Chinese medicine(TCM). Studies have shown that the effects of active components in TCM depend on not only their chemical composition but also their suitable physical forms and states. The physical phase structures, such as micelles, vesicles, gels, and nanoparticles, can improve the solubility, delivery efficiency, and targeting precision of active components. These structures significantly enhance the pharmacological activity while reducing the toxicity and side effects, demonstrating functional activity surpassing that of active components and highlighting the key effects of "structures" on "functions" of active components. Taking the physical phase structure as a breakthrough point, this paper outlines the common types of TCM physical phase structures. Furthermore, this paper explores how to realize the quality upgrading of TCM through the precise regulation of physical phase structures based on the current applications and potential of TCM physical phase structures in processing to increase the efficacy and reduce the toxicity, compounding and decocting processes, drug delivery systems, and quality control, aiming to provide novel insights for the future quality control of TCM.
Quality Control ; Drugs, Chinese Herbal/standards* ; Medicine, Chinese Traditional/standards* ; Humans ; Drug Delivery Systems

Objective To study the management effect of the intelligent management mode of anesthet-ic medicine box.Methods The intelligent reconstruction of the management mode of anesthesia box in the de-partment of surgical anesthesiology was carried out,and the differences in the taking and return time in 3-month before and after applying the medicine box intelligent management,error rate,and information tracking were compared,and the management effect of the medicine box was compared between the intelligent manage-ment and the traditional mode.Results The prescription modification rate,accounting error rate,discrepancy rate of person and box,and omission rate of registration had statistical differences between the traditional management mode and intelligent management mode(P<0.05).The single medicine box management work-ing time for anesthetist getting the medicine box,returning the medicine box,taking the refrigerator medicine,generating prescription and charge in intteligent management mode was shortened compared with the tradi-tional management mode,and the difference was statistically significant(P<0.05);the working time of drug management such as drug counting,prescription checking,registration records checking,drug adding and daily inventory checking in the intelligent management mode was shortened compared with the traditional manage-ment mode,and the difference was statistically significant(P<0.05).Conclusion Compared with the tradi-tional mode,the anesthetic box management intelligent mode has high efficiency and strong reliability,moreo-ver is more conducive to the standardized management of anesthetic drugs in the operating room.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.

Objective: This study investigates the potential of radiomics to predict postoperative progression of ossification of the posterior longitudinal ligament (OPLL) after posterior cervical spine surgery. Methods: This retrospective study included 473 patients diagnosed with OPLL at Peking University Third Hospital between October 2006 and September 2022. Patients underwent posterior spinal surgery and had at least 2 computed tomography (CT) examinations spaced at least 1 year apart. OPLL progression was defined as an annual growth rate exceeding 7.5%. Radiomic features were extracted from preoperative CT images of the OPLL lesions, followed by feature selection using correlation coefficient analysis and least absolute shrinkage and selection operator, and dimensionality reduction using principal component analysis. Univariable analysis identified significant clinical variables for constructing the clinical model. Logistic regression models, including the Rad-score model, clinical model, and combined model, were developed to predict OPLL progression. Results: Of the 473 patients, 191 (40.4%) experienced OPLL progression. On the testing set, the combined model, which incorporated the Rad-score and clinical variables (area under the receiver operating characteristic curve [AUC] = 0.751), outperformed both the radiomics-only model (AUC = 0.693) and the clinical model (AUC = 0.620). Calibration curves demonstrated good agreement between predicted probabilities and observed outcomes, and decision curve analysis confirmed the clinical utility of the combined model. SHAP (SHapley Additive exPlanations) analysis indicated that the Rad-score and age were key contributors to the model’s predictions, enhancing clinical interpretability. Conclusion Radiomics, combined with clinical variables, provides a valuable predictive tool for assessing the risk of postoperative progression in cervical OPLL, supporting more personalized treatment strategies. Prospective, multicenter validation is needed to confirm the utility of the model in broader clinical settings.