OBJECTIVE To provide references for pharmaceutical care in the anti-infective treatment of disseminated Talaromyces marneffei （TM）osteomyelitis complicated with pulmonary tuberculosis in a human immunodeficiency virus （HIV）-negative patient. METHODS Clinical pharmacists participated in the entire treatment process of a HIV-negative patient with disseminated TM osteomyelitis complicated by pulmonary tuberculosis. The pharmacist assisted the clinician in formulating an individualized treatment plan and improving the diagnosis based on the patient’s clinical symptoms， signs， laboratory tests， and imaging findings. Recommendations included the use of amphotericin B cholesteryl sulfate complex for antifungal therapy， the completion of a tuberculin skin test and sputum acid-fast bacilli test. The pharmacist monitored the patient’s clinical manifestations and laboratory results in real time. Upon timely detection of hypokalemia in the patient， after analyzing the causes， oral and then intravenous potassium supplementation was sequentially recommended， along with adjustments to the treatment plan （switching to itraconazole and combining it with a four-drug antituberculosis regimen of isoniazid+rifampicin+pyrazinamide+ethambutol）. Meanwhile， monitoring of itraconazole blood concentration was also advised. Additionally， the clinical pharmacist closely monitored the patient’s medication adherence and provided medication education. RESULTS The clinicians accepted the clinical pharmacist’s recommendations. The patient improved after treatment and was discharged. One-year follow-up showed that the patient was cured without adverse reactions. CONCLUSIONS Amphotericin B cholesteryl sulfate complex is an effective therapeutic agent for disseminated TM osteomyelitis in HIV-negative patients. Prolonging the course of treatment can prevent recurrence. During therapy， clinical pharmacists should strengthen pharmaceutical care as well as provide medication and health education to ensure patient safety.

Pre-admission is a critical initiative to optimize medical service processes and alleviate the challenge of "difficult access to healthcare. "However, there is currently a lack of standardized protocols for pre-admission procedures. This study aims to systematically analyze key nodes and risk factors in pre-admission process design and propose optimization strategies, providing a foundation for policy formulation and hospital practices. By constructing a "forward-reverse" dual-process model of pre-admission and identifying risk points based on stakeholder theory (patients, hospitals, healthcare administration, and insurance), the study reveals that while pre-admission can reduce the average length of stay, improve bed turnover rates, and enhance patient satisfaction, it also presents risks such as cross-period financial settlement, challenges in insurance policy adaptability, demands for information system integration, and the need for defining medical safety boundaries. To optimize the pre-admission process and mitigate these risks, this study explores framework improvements in areas including eligibility criteria, mode selection, cost settlement, transition between pre-admission and inpatient status, and cancellation of pre-admission, offering practical guidance for public hospitals. The authors argue that pre-admission requires tripartite collaboration among hospitals, insurers, and healthcare administrations: hospitals should establish top-level design, continuously refine processes, and implement dynamic risk assessment mechanisms; insurance providers should support cross-period settlement policies; and healthcare administrations should issue guiding policies or standardized protocols. Through multi-department coordination and collaborative efforts, the optimization and innovation of pre-admission processes can be advanced, ultimately delivering more efficient and convenient healthcare experiences for patients.

Objective: To investigate the prevalence of sleep quality among the elderly in nursing homes in Changning District, Shanghai Municipality, so as to provide insights into prevention and intervention strategies for improving sleep quality and overall quality of life for the elderly. Methods: The elderly from 25 nursing homes in Changning District were selected using a two-stage sampling method. Basic information including gender, age and types of medication were collected. Sleep quality was assessed using the Athens Insomnia Scale, and depressive symptoms were measured using the Geriatric Depression Scale. Factors affecting sleep quality among the elderly in nursing homes were analyzed using a multivariable logistic regression model. Results: A total of 739 participants were surveyed, including 516 males (69.82%) and 223 females (30.18%). The majority of participants were aged 80 to <90 years (478, 64.68%). Among them, 432 participants (58.46%) had normal sleep, 144 (19.49%) had suspected insomnia, and 163 (22.06%) had insomnia. Multivariable logistic regression analysis showed that older age (OR=1.030, 95%CI: 1.005-1.055), more medication types (OR=1.971, 95%CI: 1.381-2.812), frequent nighttime bathroom visits (OR=2.921, 95%CI: 1.853-4.605) and depressive symptoms (OR=3.295, 95%CI: 2.440-4.449) were associated with a higher risk of insomnia among the elderly in nursing homes. Conclusions Insomnia was reported in 22.06% of the elderly in nursing homes in Changning District. Age, the number of medication types, frequency of nighttime bathroom visits, and depressive symptoms are the main influencing factors for their sleep quality.

Objective:To investigate the causal impact of maternal smoking around birth(MSAB)on off-spring's risk of attention deficit hyperactivity disorder(ADHD),autism spectrum disorder(ASD),bipolar disorder(BD),and major depressive disorder(MDD).Methods:The datasets for MSAB and 4 psychiatric disorders were extracted from genome-wide association studies(GWAS).Mendelian randomization(MR)was employed,using in-verse variance weighting(IVW)as the primary analysis method.Sensitivity analyses and outlier correction were conducted using weighted median(WM),MR-Egger regression,and MR-PRESSO.The results were expressed as odds ratios(OR)and corrected for false discovery rate(FDR).Results:MR analysis showed significant causal re-lationships between MSAB and increased risk of ADHD(OR=5.36,95％CI=2.58-7.63,PFDR=0.003),MDD(OR=1.92,95％CI=1.29-2.88,PFDR=0.003),and BD(OR=6.33,95％CI=1.56-8.73,PFDR=0.013).However,no statistically significant association was found between MSAB and ASD(OR=1.66,95％CI=0.23-5.87,PFDR=0.616).Conclusion:This study suggests a potential causal link between maternal smoking around the time of birth and an increased risk of attention deficit hyperactivity disorder,bipolar disorder,and major depressive disorder in offspring.

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.

Objective To systematically sort out the current situation of animal model construction and evaluation of damp-heat syndrome of spleen and stomach under the pattern of combining disease and evidence,references for optimizing the standardized research of this syndrome were provided.Methods The references in the past 20 years from CNKI,Wanfang,VIP,PubMed and other databases were searched to summarize and analyze the modeling ideas,evaluation systems and problems of the animal models of spleen-stomach damp-heat syndrome.Results Most of the existing models used high-fat and high-sugar feeds combined with hot and humid environment exposure,compound pathogenic microbial infection or chemical stimulation to construct the combined disease and evidence model.The model validity was evaluated by macroscopic signs,gastrointestinal function indexes,inflammatory factors,and intestinal bacterial flora,etc.However,there were still problems of insufficient stability of the model,and inconsistencies in the criteria for evaluation of the evidence.Conclusion The combination of disease and evidence model can better simulate the clinical characteristics of spleen and stomach damp-heat syndrome,but it is necessary to strengthen the construction of multimodal evaluation system and molecular mechanism research.The standardization of animal models can be promoted through the integration of multidisciplinary technology,which can provide a more accurate method for the modernization of traditional Chinese medicine research.

Blood cell morphology examination is the foundation and important means of diagnosing blood diseases. Artificial intelligence (AI) assisted blood cell morphology examination compensates for the shortcomings of artificial microscopy in the early detection and diagnosis of blood diseases,improves diagnostic efficiency,accuracy,and sensitivity,greatly reduces labor and time costs,significantly improves medical quality,and promotes personalized health care. Traditional manual microscopy is still the standard method in clinical practice in China. In order to encourage the improvement and development of intelligence-assisted blood cell morphology examination,this article discusses the current situation and characteristics of intelligence-assisted blood cell morphology examination. Considering the standardization,database,and ethical issues of automated blood cell morphology analysis,some challenges and limitations are summarized and analyzed,which can support the diagnosis of blood diseases and assist researchers and clinical doctors in the future.

BACKGROUND:The asymmetrical biomechanical environment of adolescent idiopathic scoliosis can lead to further wedge deformation of the vertebral body,which may affect cardiopulmonary function and compress nerves in severe cases.Adolescent idiopathic scoliosis with different degrees of scoliosis should be treated with exercise,bracing,and surgery.However,the mechanical mechanism of selecting an orthopedic approach remains unclear due to the individual variability of patients.OBJECTIVE:To investigate the biomechanical mechanism of different orthopedic modalities for the treatment of adolescent idiopathic scoliosis to provide a basis for clinical selection of treatment modalities based on the spine model of adolescent idiopathic scoliosis patients.METHODS:Based on the CT images of an adolescent idiopathic scoliosis patient,a scoliosis model(C7-L5)was reconstructed in Mimics software in three dimensions,and lateral thrust force was applied at the T8/T9 thorax and vertical distraction force was applied over the C7 vertebra with the magnitude of 20,40,60,80,100,and 120 N.The intervertebral disc stress and vertebral displacement in concave and convex sides,and Cobb angle of the spine were analyzed under two orthopedic modalities.RESULTS AND CONCLUSION:(1)With lateral thrust,there was no significant change in the C7T1-T7T8 intervertebral disc.The concave and convex stress of T7T8-L4L5 segment decreased first and then increased with the increase of lateral thrust force.The correction effect of lateral thrust on the segment near T8T9 was obvious and weakened with the extension of the segment to the cephalic and caudal ends.At 120 N of lateral thrust,the thoracic Cobb angle changed from 53.2° to 32.5° and the lumbar Cobb angle changed from 50.2° to 43.9°.(2)With the vertical distraction,the thoracic intervertebral disc stresses first decreased and then increased,and all the lumbar disc stresses decreased.The C7 displacement was the most obvious,and the correction effect gradually diminished with the segment extended to the caudal end.At a vertical distraction force of 120 N,the thoracic Cobb angle changed from 53.2° to 39.4° and the lumbar Cobb angle changed from 50.2° to 47.6°.(3)It is concluded that both orthopedic modalities provide improvement in the degree of scoliosis,with the thoracic correction being greater than the lumbar correction.Also,the asymmetric stress distribution on the concave and convex sides is improved,which contributes to normal bone growth.A vertical distraction approach is appropriate for larger Cobb angles,and a lateral thrust approach is appropriate for smaller Cobb angles.The results of this study help to understand the mechanism of spinal orthosis and provide a theoretical basis for the choice of orthopedic approach.

BACKGROUND:The patient underwent multiple hypoproteinemia after total hip arthroplasty,which affected postoperative healing and rehabilitation.OBJECTIVE:To investigate and screen the risk factors for hypoproteinemia after total hip arthroplasty,and to establish a nomogram prediction model so as to provide guidance for judging whether hypoproteinemia occurs after total hip arthroplasty.METHODS:A total of 355 patients who underwent total hip arthroplasty were included,and according to whether hypoproteinemia occurred on the first day after surgery,they were divided into 238 cases in the hypoproteinemia group and 117 cases in the normal group,with a hypoproteinemia rate of 67％.Data were collected,including age,gender,diabetes mellitus,hypertension,hyperuricemia,hyperlipidemia,anesthesia method,preoperative leukocytes,preoperative erythrocytes,preoperative hemoglobin,preoperative platelets,preoperative plasma prothrombin time,preoperative activated partial prothrombin time,preoperative international normalized ratio,preoperative thrombin time,preoperative fibrinogen,preoperative erythrocyte sedimentation rate,preoperative C-reactive protein,preoperative D-dimer,preoperative mean corpuscular hemoglobin content,preoperative mean corpuscular volume,operation time,body mass index,preoperative procalcitonin,and preoperative hematocrit.SPSS 27.0 software was used for univariate analysis,followed by R language(4.3.1)to perform least absolute shrinkage and selection operator regression and 10-fold cross-validation of the observation indicators to obtain the intersection of the two risk factors.SPSS 27.0 software was used to perform multivariate binary logistic regression to obtain the final risk factors.The prediction model of hypoproteinemia after total hip arthroplasty was constructed by R language.The receiver operating characteristic curve,calibration curve,and clinical decision curve were constructed to assess the predictive model predictive ability.RESULTS AND CONCLUSION:(1)Univariate analysis,least absolute shrinkage and selection operator regression,and multivariate logistic regression were used to screen out significant differences in age(OR=1.024,P=0.023),preoperative platelets(OR=0.995,P=0.028),and preoperative erythrocyte sedimentation rate(OR=1.031,P=0.045)in judging whether hypoproteinemia would occur after surgery(P＜0.05).(2)The nomogram prediction model was constructed based on the final risk factors screened by multivariate Logistic regression,and the prediction ability of the model was evaluated by constructing the receiver operating characteristic curve,and the area under the calculated receiver operating characteristic curve reached 0.835(95％CI=0.779-0.891),C-index=0.835.A threshold of 0-0.83 could bring better clinical efficacy calculated by the decision curve analysis.The model has good sensitivity and accuracy,which can better identify the risk of postoperative hypoproteinemia for medical staff and patients before total hip arthroplasty.

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.