Patients with inflammatory bowel disease (IBD) require long-term pharmacotherapy. Due to the wide variety of clinically available drugs, medication safety has become increasingly concerning. As an indispensable component of pharmaceutical formulations, drug excipients may induce various adverse reactions, including rash, allergic responses, and gastrointestinal discomfort, and may even lead to severe organic injury. However, they are often overlooked in clinical practice. Therefore, identifying and managing excipient-related adverse reactions is crucial for ensuring medication safety. To address this issue, this article systematically reviews common excipients in IBD therapeutics, the underlying mechanisms of excipient-induced adverse reactions, and corresponding management strategies, aiming to enhance clinicians' awareness of excipient-related issues, improve their ability to recognize and manage such reactions, and ultimately ensure patient safety.

To address the scarcity of annotated data for pediatric abdominal CT imaging and the insufficient generalization capability of existing models, we constructed a self-supervised pretraining architecture tailored for pediatric CT domain adaptation based on the visual foundation model DINOv3, and validated its performance in the task of pediatric abdominal multi-organ segmentation.

Background: Visual impairment is increasingly prevalent, underscoring the need for effective prevention strategies. This study investigated the association between cardiovascular health and visual impairment using three progressively developed metrics: Life’s Simple 7 (LS7), a cardiovascular health score developed by the American Heart Association based on 7 components, including physical activity, smoking status, body mass index (BMI), diet, blood glucose, blood pressure, and total cholesterol; Life’s Essential 8(LE8), which adds sleep health as an additional component; and Life’s Crucial 9 (LC9), which further incorporates mental health. We aimed to evaluate whether these expanded metrics provide additional explanatory value and to inform future public health strategies. Objective: To investigate the associations among LS7, LE8, and LC9 cardiovascular health scores and visual impairment in National Health and Nutrition Examination Survey 2013 to 2018, assess the added value of sleep and mental health components, and identify key contributing subcomponents using regression and machine learning methods. Methods: We analyzed data from 9891 participants in the 2013 to 2018 National Health and Nutrition Examination Survey. Multivariable logistic regression, restricted cubic spline modeling, and subgroup analyses were conducted to evaluate the association between cardiovascular health and visual impairment. Machine learning methods, including Random Forest and SHapley Additive exPlanations, a model interpretation approach used to assess feature importance, were applied. The Boruta algorithm, a feature selection method, was used to identify key subcomponents of cardiovascular health. Results: Participants with visual impairment were older, had lower poverty-to-income ratios, and exhibited lower cardiovascular health scores (LS7, LE8, and LC9). Higher cardiovascular health scores were negatively associated with visual impairment. Each one standard deviation increase in LS7, LE8, and LC9 was associated with approximately 8%, 2%, and 3% lower odds of visual impairment, respectively. LS7 showed the strongest negative association, whereas LE8 and LC9 emerged as the most important predictors in the machine learning models. Key subcomponents such as blood glucose, blood pressure, and BMI, as well as mental health status, were strongly associated with visual impairment. Conclusion: Higher cardiovascular health scores were negatively associated with visual impairment. LS7 demonstrated the strongest statistical association, whereas LE8 and LC9 were the most influential features in the machine learning models. Blood glucose, blood pressure, BMI, and mental health status were important correlates of visual impairment. From the perspective of the “prevention and treatment of diseases” in traditional Chinese medicine and the holistic concept, the aforementioned research findings confirm that severe visual impairment is indeed an external manifestation of overall health imbalance (such as organ dysfunction and Qi deficiency and blood stasis). The prevention strategy lies in comprehensively adjusting lifestyle, emotional factors, and metabolic indicators (corresponding to the key factors in the study) to restore the body’s internal balance and achieve prevention before disease arises.

This article focuses on the application of artificial intelligence in clinical hematology laboratory teaching. By analyzing the current situation of clinical hematology test teaching and combining the advantages of artificial intelligence technology, this paper explores its application prospects in clinical hematology laboratory teaching from multiple perspectives, such as case library construction, atlas resource library construction, virtual simulation training, auxiliary teaching, and clinical thinking training, and analyzes the possible problems of artificial intelligence in teaching practice.

Objective To analyze relevant literature on the essence of traditional Chinese medicine syndromes using bibliometric methods;To understand the current research status and hotspots in this field;To provide references for relevant research.Methods Research literature about the essence of TCM syndromes was retrieved from CNKI,VIP,Wanfang Data and CBM from 1st Jan.1979 to 30th June 2024.CiteSpace 6.2 software was used to conduct visualization analysis on authors,institutions,keywords,etc.Results A total of 695 articles were included,with an overall upward trend in publication volume followed by stabilization.The authors who published more articles included Luo Ren(13 articles),Zhao Xiaoshan(13 articles),Li Zegeng(12 articles),etc.The institutions with more publications included Shandong University of Traditional Chinese Medicine(35 articles),Beijing University of Chinese Medicine(33 articles),Chengdu University of Traditional Chinese Medicine(26 articles),etc.Institutions were clustered regionally,and cooperation was mostly between TCM universities and their affiliated hospitals,with less cross regional communication.High frequency keywords included kidney yang deficiency syndrome,metabolomics,animal models,TCM syndrome types,coronary heart disease,lung qi deficiency syndrome,spleen qi deficiency syndrome,liver depression and spleen deficiency syndrome,etc;Keyword clustering covered aspects such as biomolecules and metabolism,TCM syndromes,pathology,disease models,and animal research.Conclusion Research in the field of the essence of TCM syndromes is gradually receiving more attention.Exploring the essence of TCM syndromes at the molecular level through techniques such as genomics,transcriptomics,metabolomics and proteomics is a research hotspot and trend in this field.

BACKGROUND:Knee finite element modelling can provide insight into knee mechanics,but its complex image segmentation is more difficult for researchers.With the development of deep learning techniques,deep learning techniques have been widely used in knee joint finite element modelling.OBJECTIVE:To replace the manual segmentation step in finite element modelling of the knee joint by using 3D Swin UNETR in combination with a semi-automatic segmentation technique for statistical shape models.METHODS:Manual(artificial)knee joint finite element model was developed based on MR and semi-automatic knee joint finite element model was developed based on 3D Swin UNETR+statistical shape model segmentation.The same loads and boundary conditions were applied to both models.Validation was performed by calculating the Dice similarity coefficient,mean distance,and comparing the peak equivalent stresses,maximum principal stresses,and maximum shear stresses of the two models.RESULTS AND CONCLUSION:(1)The Dice similarity coefficients of the manual and semi-automatic segmented femur and tibia were more than 98％,and the average distances were less than or equal to(0.35±0.08)mm.(2)With the longitudinal load of 750 N and 10 Nm internal overturning moment applied to the femur tip of both manual and semi-automatic finite element models,the peak equivalent stress,maximum principal stress,and maximum shear stresses of meniscus in manual finite element model were 14.12,18.54,and 7.35 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.22,2.15,and 1.18 MPa;peak equivalent force,maximum principal stress,and maximum shear stress of tibial cartilage were 2.50,1.91,and 1.41 MPa;semi-automatic finite element model of meniscus:peak equivalent force,maximum principal stress,and maximum shear stress were 14.93,18.53,and 7.75 MPa.The peak equivalent force,maximum principal stress,and maximum shear stress of femoral cartilage were 2.26,2.18,and 1.20 MPa;the peak equivalent stress,maximum principal stress,and maximum shear stress of tibial cartilage were 2.60,1.91,and 1.46 MPa.The peak equivalent stress,maximum principal stress,and maximum shear stress of manual and semi-automatic finite element models were basically consistent,with no significant difference(P＞0.05).(3)The semi-automatic segmentation technique proposed in this study can replace manual segmentation in creating accurate finite element models of the knee joint.

Objectives:To investigate the relationship between QRS duration and its changes during hospitalization and long-term all-cause mortality in patients with chronic heart failure.Methods:A total of 3 580 patients who attended three tertiary hospitals in Shanxi Province(First Hospital of Shanxi Medical University,Shanxi Cardiovascular Hospital,Shanxi Bethune Hospital)and were diagnosed with chronic heart failure from March 2014 to November 2021,were enrolled in this study.QRS duration at admission and discharge were collected,and the changes in QRS duration during hospitalization(ΔQRS)and the ΔQRS ratio(ΔQRS/admission QRS duration×100% )were calculated.Patients were divided into three group according to tertiles of ΔQRS:the group with decreasing QRS duration(n=1 364),the group with stable QRS duration(n=1 248),and the group with progressing QRS duration(n=968).Telephone follow-up was conducted at months 1,3,6,12,and every 6 months thereafter after discharge till May 1,2023,long-term all-cause mortality was the primary endpoint.Survival curves were plotted using the Kaplan-Meier method,and comparisons between groups were made using the log-rank method.Cox proportional risk regression model was used for prognostic analysis,and restricted cubic spline curves were calculated to evaluate QRS duration-related variables during hospitalization and the risk of long-term all-cause mortality in patients with chronic heart failure.Results:The median follow-up was 71(56,92)months,and all-cause mortality occurred in 502(14.0% )patients.Long-term all-cause mortality was lower in the group with decreasing QRS duration and the group with stable QRS duration compared with the progressing QRS duration group(13.9% vs.10.7% vs.18.6%,χ2=28.607,P<0.001).Multifactorial Cox regression analysis showed that admission QRS duration(HR=1.005,95% CI:1.002-1.009,P=0.003)and higher ΔQRS ratio during hospitalization(HR=2.071,95% CI:1.247-3.440,P=0.005)were independent influencing factors of long-term all-cause mortality in chronic heart failure patients.Restricted cubic spline curves showed that when the admission QRS duration was>96.36 ms,the longer the QRS duration,the higher the risk of all-cause mortality;when the admission QRS duration fluctuated from 89.32-96.36 ms,the QRS duration was a protective factor for long-term all-cause mortality in patients with chronic heart failure;and when the ΔQRS ratio during hospitalization was≥3.40%,higher ΔQRS ratio was linked with increased risk of all-cause mortality.Conclusions:QRS duration and ΔQRS ratio during hospitalization are independent predictors of long-term all-cause mortality in patients with chronic heart failure.Admission QRS duration>96.36 ms and ΔQRS ratio during hospitalization≥3.40% are associated with increased risk of long-term all-cause mortality in patients with chronic heart failure.

Dampness-heat syndrome of the spleen and stomach refers to the evil dampness-heat invading the spleen and stomach,the abnormal rise and fall of the middle jiaoqi machinery,dampness-heat depression and steaming,the physiological dysfunction of the spleen and stomach,with abdominal distention and distention,nausea and lethargy of the limbs,poor loose stool,red tongue and yellow greasy fur,and slippery pulse as the main symptoms of the syndrome,most common in digestive system diseases,among which chronic gastritis is the first.This paper summarized the research results in the past decade and related fields.In the mode of combination of disease and syndrome,based on the principle of corresponding prescription and syndrome,combined with the etiology and pathogenesis evolution of spleen and stomach damp-heat syndrome,the biological connotation of spleen and stomach damp-heat syndrome was explained from various aspects such as inflammation and immune disorders,gastrointestinal motivity disorders,water and humidity loss,endoplasmic reticulum function,and micro-ecological disorders.Enrich the research of the essence of syndrome.

Objective To explore the immediate impact of acute vision changes in hemiplegic patients on their gait.Methods Thirty visually normal hemiplegic patients were recruited.Plane mirrors(0°),concave lenses(+150°,+450°)were selected to simulate normal vision,moderate myopia,and high myopia scenarios for straight line walking tests.The Qualisys three-dimensional(3D)motion capture system and Kistler 3D force platform were employed to collect kinematic and dynamic parameters of the patients,and the differences in related indicators before and after visual intervention were compared.Results Visual intervention affected the step length,walking speed,and joint angles of hemiplegic patients.Especially after acute vision changes,there was a significant difference in the stride length and ankle joint angles on the patient's affected side.Under high myopia,the step length and step length symmetry were better than those under moderate myopia,but at the expense of gait speed.Visual intervention led to asymmetric trends in step the length symmetry and joint angle symmetry.There were very significant differences in center of pressure(COP)and COP symmetry between normal vision and high myopia.Conclusions Acute vision changes can affect the gait of hemiplegic patients,especially in individuals with high myopia presenting both a notable decrease in walking speed and an increased ankle range of motion,and an increase in walking speed with moderate myopia.Meanwhile,the symmetry of the COP decreases,indicating that acute vision changes lead to a higher risk of falls for patients.Reasonable vision assessment and corresponding intervention measures are expected to improve walking ability and life quality of the patients.

Arthritis, encompassing osteoarthritis (OA), rheumatoid arthritis (RA), and gouty arthritis (GA), is a prevalent inflammatory disease that significantly impacts quality of life. Natural products (NPs), derived from animals, plants, marine organisms, and microorganisms, have demonstrated beneficial effects in arthritis treatment both domestically and internationally. These natural compounds offer advantages in drug discovery due to their skeletal diversity, structural complexity, and multi-effect, multi-target, and low-toxicity properties compared to conventional small-molecule medicines. However, unclear mechanisms have hindered the development and clinical application of NPs. This review summarizes recent experimental studies from the past decade on natural medicine for arthritis treatment, emphasizing key NPs with therapeutic effects on OA, RA, and GA. It examines the effects and molecular mechanisms of NPs acting on different cells to treat arthritis. Furthermore, this review provides insights into the future prospects of NP research in this field, which is crucial for advancing NP-based arthritis treatments.
Humans ; Biological Products/therapeutic use* ; Animals ; Arthritis, Rheumatoid/drug therapy* ; Arthritis, Gouty/drug therapy* ; Arthritis/drug therapy* ; Osteoarthritis/drug therapy*