To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

BACKGROUND:Micro-robots have the characteristics of small size,flexibility,and strong targeting,and can complete complex tasks in a single or clustered manner in a narrow environment.With the continuous optimization of materials,preparation processes,and driving approaches,they have shown increasingly important application value in the field of biomedicine. OBJECTIVE:To analyze the application of field-driven micro-robots in medical field and to look forward to their application prospect. METHODS:Using"microrobots,nanorobots,drivers,biomedical,medical"as Chinese keywords and"microrobots,micro-robots,nanorobots,micromachine,microswimmer,medical"as English keywords,WanFang Data and PubMed databases were searched,respectively.The search time range was from January 2010 to January 2024,and a small number of long-term articles were included.Through reading the titles and preliminarily screening the abstracts,the repetitive studies,low-quality journals,and irrelevant literature were excluded.After reading the entire text,66 papers were finally included for review. RESULTS AND CONCLUSION:Field-driven medical micro-robots mainly include magnetic,optical,thermal,ultrasonic,and multi-mixed factor-driven robots.Field-driven robots have been used in intestinal diagnosis,drug targeting therapy,and stem cell therapy.Medical micro-robots are currently only used in a small number of clinical applications,but most of which are still in the theoretical and experimental stages.Medical micro-robots will face many challenges in future,such as large-scale preparation,precise control of micro-robots,recycling or degradation in vivo,whether the materials used will cause adverse reactions to the human body,and the related minimally invasive medical procedures.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

AIM: To investigate the effect of the relationship between scotopic pupil and optical zone diameters on short-term subjective and objective visual quality after small incision lenticule extraction(SMILE).METHODS:In this prospective cohort study, 98 patients(196 eyes)who underwent SMILE from September 2021 to June 2023 were included. Participants were divided into two groups based on the ratio of scotopic pupil diameter to optical zone diameter: group A(ratio >1, 70 eyes)and group B(ratio ≤1, 126 eyes). The preoperative and postoperative uncorrected visual acuity(UCVA), spherical equivalent(SE), total corneal high-order aberrations at 4, 6, and 8 mm of pupil diameters, objective scatter index(OSI), pre- and post-operative QoV subjective visual quality questionnaire were observed and recorded. The refractive status of different groups of patients at different time points before and after surgery, and differences in subjective and objective visual quality indices were analyzed. Furthermore, the changes in subjective and objective visual quality(postoperative-preoperative)at different postoperative time points were analyzed between the two groups.RESULTS:No significant differences in visual acuity or refractive state were observed between the two groups at 3 mo postoperatively. In both the group A and the group B, there was a difference in the changes of corneal total higher-order aberration centered on 8 mm cornea at 1 mo postoperatively(P<0.05), and there was a difference in the changes of total higher-order aberration and corneal spherical aberration centered on 8 mm cornea at 3 mo postoperatively(all P<0.05). At 3 mo after surgery, the most commonly reported symptoms in the group A were glare, starburst, hazy vision, and halo. In the group B, the most common symptoms were hazy vision, halo, starburst, and glare. Statistically significant differences were observed in the severity of glare and visual fluctuation between groups before surgery and at 3 mo postoperatively(all P<0.05). However, no significant differences were found in the severity of halo, starburst, blurred vision, double vision, or focusing difficulty at 3 mo postoperatively(all P>0.05).CONCLUSION:When the scotopic pupil diameter exceeds the optical zone, SMILE may increase postoperative corneal aberrations, as evidenced by an increase in high-order corneal aberrations within an 8-mm central corneal range, a higher incidence of postoperative glare, and more severe glare and visual fluctuation symptoms. Nevertheless, these symptoms are mild and remain within a safe range.

The Solomon four-group design， a critical method for improving internal validity in clinical research， can reduce bias and control the interference of Hawthorne effects and pretest sensitization on research results， which offers unique advantages in evaluating complex intervention outcomes. This paper systematically outlined the core framework and key points of statistical analysis of the Solomon four-group design， summarized its applications in clinical research at home and abroad， explored its advantages and limitations， and discussed the potential value in traditional Chinese medicine （TCM） clinical trials. It is believed that the Solomon four-group design can help distinguish between testing effects and intervention effects in TCM clinical studies， and reduce the bias in the evaluation of subjective indicators. Meanwhile， given the complexity of the Solomon four-group design and the particularity of TCM clinical research， it is proposed that future TCM clinical studies should focus on using psychological scales， know-ledge， attitude， and behavior measurements， and other similat evaluations as endpoints. It also advocates strengthening interdisciplinary collaboration to provide new methodological paths for TCM clinical research.

Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

OBJECTIVE: To investigate the biological effect of medical recombinant human-derived collagen functional dressings in wound healing. METHODS: MTT assay and RTCA assay were used to detect cell toxicity and proliferation. Scratch assay and Transwell cell migration assay were used to detect cell motility and migration ability. Enzyme-linked immunosorbent assay was used to detect the contents of vascular endothelial growth factor (VEGF), fibroblast growth factor (FGF), and platelet-endothelial cell adhesion molecule (CD31) in the supernatant of four types of cells. After animal surgery, the surgical wound was taken at 1 week, 4 weeks and 13 weeks, respectively, for hematoxylin eosin (HE) staining and immunohistochemistry to observe the inflammatory response and CD31 expression of the wound. RESULTS: Medical recombinant human-derived collagen functional dressing promotes cell proliferation and migration, enhances wound angiogenesis by upregulating the expression of VEGF, FGF, and CD31 in human dermal vascular endothelial cells (HDVEC) and human vascular endothelial cells (HVEC), thereby improving local blood supply to the wound, regulating the inflammatory response of the wound, and accelerating wound healing. CONCLUSION Recombinant type Ⅲ humanized collagen plays an important role in wound healing.
Humans ; Wound Healing/drug effects* ; Recombinant Proteins/pharmacology* ; Animals ; Cell Proliferation ; Cell Movement ; Collagen/pharmacology* ; Vascular Endothelial Growth Factor A/metabolism* ; Bandages ; Platelet Endothelial Cell Adhesion Molecule-1/metabolism* ; Endothelial Cells ; Fibroblast Growth Factors/metabolism*

Objective To investigate the association of urinary phthalate metabolites with 4 high-density lipoprotein-cholesterol(HDL-C)-related inflammatory indicators[lymphocyte/HDL-C ratio(LHR),monocyte/HDL-C ratio(MHR),neutrophil/HDL-C ratio(NHR),and platelet/HDL-C ratio(PHR)],and to explain their possible biological mechanisms.Methods The 4 573 adult participants from the National Health and Nutrition Examination Survey(NHANES)were subjected,and then generalized linear regression(GLM),restricted cubic spline(RCS),and weighted quantile sum(WQS)regressions were performed to explore the potential associations of phthalates mono-exposures and mixed exposures,respectively,with the HDL-C-related inflammation metrics.Results Nine urinary phthalate metabolites were significantly positively associated with at least 1 inflammatory marker,while 1 metabolite(MEP)showed a negative association with an inflammatory indicator(LHR).Some exposure metabolites showed a nonlinear association with outcome inflammatory indicators.WQS regression revealed varying weight contributions of individual metabolite to each inflammatory outcome.Subgroup analyses indicated differential association effects of phthalates with HDL-C-related inflammatory metrics across gender,age,and BMI populations.Conclusion There are associations between phthalate exposure and HDL-C-related inflammation indicators,but further studies are needed to reveal the underlying mechanisms.

Objective To analyze the predictive value of patient-reported outcomes(PRO)com-bined with hematological indicators for moderate-to-severe endoscopic activity in patients with ulcera-tive colitis(UC).Methods Clinical data of UC patients were retrospectively collected,including PRO,hematological parameters and endoscopic findings.Based on the Mayo endoscopic score,pa-tients were divided into remission and mild activity group(＜2 points)and moderate-to-severe activity group(≥ 2 points).Independent influencing factors for moderate-to-severe endoscopic activity were screened through multivariate Logistic regression analysis,and a binary Logistic regression model was constructed.The receiver operating characteristic(ROC)curve was used to evaluate the discriminato-ry ability of the predictive model.The calibration of the model was assessed using calibration curves and the Spiegelhalter Z-test,and the model's performance was further validated in an external valida-tion cohort.Results Rectal bleeding(RB),C-reactive protein/albumin(CAR)and erythrocyte sed-imentation rate(ESR)were independent influencing factors for moderate-to-severe endoscopic activity(P＜0.05).The area under the curve(AUC)of the nomogram predictive model constructed based on the logistic regression analysis results was 0.848(95％CI,0.798 to 0.900),with sensitivity of 76.6％and specificity of 79.6％.In the external validation cohort,the model's AUC was 0.778(95％CI,0.699 to 0.857),and there was no statistically significant difference compared with the AUC of the training cohort model(P＞0.05).In both the training and validation cohorts,the Spiegelhalter Z-test results indicated that the model had good goodness-of-fit(P＞0.05).Conclu-sion RB,CAR and ESR are independent influencing factors for moderate-to-severe endoscopic ac-tivity in UC patients.The combination of RB,CAR and ESR has high predictive value for moderate-to-severe endoscopic activity in UC patients,with good discriminatory and calibration abilities.