Relationships between internet addiction, quality of life and sleep problems: a structural equation modeling analysis

Abstract Objective: To assess the relationship between internet addiction, quality of life, and sleep problems among adolescents. Method: This research was conducted with a representative sample of 875 adolescents. This cross-sectional study used the Internet Addiction Test, Pediatric Quality of Life Inventory™ version 4.0, Pediatric Daytime Sleepiness Scale, and sleep duration. Sociodemographic factors were also analyzed. Structural equation modeling was used to investigate relationships between variables. Results: After adjusting the model for covariances between the latent variables of daytime sleepiness and correlations between the physical and emotional domains of quality of life, the authors obtained satisfactory fit indices (RMSEA = 0.031, CFI = 0.926, TLI = 0.909, SRMR = 0.058). Internet addiction was positively associated with daytime sleepiness (rho = 0.549, p < 0.001) and negatively associated with quality of life (rho = -0.173, p < 0.001). By contrast, sleep duration was negatively associated with daytime sleepiness (rho = -0.089, p = 0.007), positively associated with quality of life (rho = 0.105, p = 0.014), and dependent on school shift (rho = 0.453, p < 0.001). Conclusions: Adolescents with higher levels of internet addiction had lower perceptions of quality of life and higher daytime sleepiness. Moreover, sleep duration had a positive correlation with quality of life. Given its detrimental effects on quality of life and daytime sleepiness, parents should better supervise internet use in adolescents.

The association between vancomycin trough concentrations and nephrotoxicity in the paediatric intensive care unit / A associação entre concentrações no vale de vancomicina e nefrotoxicidade em uma unidade de terapia intensiva pediátrica

Objective: To analyze and describe the pharmacokinetic aspects of vancomycin usage in a cohort of critically ill children and to construct a pharmacokinetic model for this population. Method: We conducted an observational study in a pediatric intensive care unit from September 2017 to March 2019. Children receiving vancomycin with at least one serum measurement were included. Variables with a p-value lower than 0.2 in univariate analysis, and biologically plausible for inducing nephrotoxicity and not correlated with other predictors, were incorporated into logistic regression. Additionally, pharmacokinetic modeling was performed using the PMETRICS® package for patients with creatinine clearance (CLCR) > 30 mL/min. Result: The study included 70 children, with an average vancomycin dose of 60 mg/kg/day. Only eleven children achieved vancomycin levels within the target range (15-20 mg/L). No significant differences in doses/mg/kg/day were observed among children above, within, or below the vancomycin target range. In the multivariate model, children above the recommended serum range had an odds ratio of 4.6 [95% CI 1.4 ­ 17.2] for nephrotoxicity. A pharmacokinetic model was proposed using data from 15 children, estimating PK parameters for CLCR and V as 0.94 L/h and 5.71 L, respectively. Conclusion: Nephrotoxicity was associated with vancomycin plasma concentrations equal to or exceeding 15 mg/L. The developed model enhanced understanding of the drug's behavior within this population, potentially aiding clinical practice in dose calculations and estimation of the area under the curve ­ a recommended parameter for vancomycin monitoring.

Objetivo: Analisar e descrever os aspectos farmacocinéticos do uso de vancomicina em uma coorte de crianças sob cuidados intensivos e elaborar um modelo farmacocinético para essa população. Método: Estudo observacional em uma unidade de terapia intensiva pediátrica conduzido entre setembro de 2017 a março de 2019. Inclui-se crianças em uso de vancomicina com pelo menos uma mensuração sérica desse antimicrobiano. As variáveis com valor de p < 0,2 na análise univariada e com plausibilidade biológica para propiciar nefrotoxicidade, não correlacionadas com outras preditoras, foram incluídas na regressão logística. Adicionalmente, uma modelagem farmacocinética foi realizada usando o programa PMETRICS® para pacientes com clearance de creatinina (CLCR) > 30 mL/min. Resultado: Foram incluídas 70 crianças no estudo. A dose média de vancomicina foi de 60 mg/kg/dia. Apenas onze crianças apresentaram vancocinemia dentro da faixa alvo (15-20 mg/L). Não foram observadas diferenças significativas entre as doses administradas e a observação de vancocinemia acima, dentro ou abaixo da faixa preconizada. No modelo multivariado, crianças acima da faixa sérica preconizada apresentaram odd ratio de 4,6 [IC 95% 1,4 ­ 17,2] para nefrotoxicidade. Um modelo farmacocinético com os dados de 15 crianças foi proposto, no qual os parâmetros de PK estimados para CLCR e Volume de distribuição foram de 0,94 L/h e 5,71 L, respectivamente. Conclusão: A nefrotoxicidade mostrou-se associada às concentrações plasmáticas de vancomicina iguais ou maiores a 15 mg/L. O modelo desenvolvido permitiu entender o comportamento do fármaco nessa população e pode ser útil na prática clínica para o monitoramento do uso de vancomicina.

Effectiveness of health education for intracranial artery stenosis patients undergoing interventional diagnosis and treatment based on 3D modeling of cerebral blood vessels / 陆军军医大学学报

Objective To explore the effect of health education based on interactive 3D-modeling of intracranial artery on interventional diagnosis and treatment for patients with intracranial artery stenosis.Methods A total of 70 patients requiring interventional diagnosis and treatment due to intracranial artery stenosis admitted to our department in 2022 were enrolled,and randomly divided into observation group and control group,with 35 cases in each group.Their stenotic sites of intracranial arteries included the vertebral and middle cerebral arteries.The observation group received the preoperative conventional education mode combined with interactive 3D-modeling to carry out health education,while the control group got the unified education sheet and slides to carry out routine preoperative health education.A self-made publicity and education effectiveness rating scale was used to score before and after the publicity and education,and their scores of awareness of intracranial artery stenosis,awareness of treatment plans,and satisfaction with medical treatment were compared between the 2 groups.Results Before the health education,there was no statistical differences in their awareness scores concerning intracranial vessels(normal intracranial arteries,intracranial arterial occlusion,and vascular stenosis treatment)between the 2 groups patients.After the implementation of education,the awareness scores of intracranial vessels were elevated in both groups,but the awareness scores of the normal intracranial artery,intracranial artery occlusion,vascular stenosis treatment,and treatment satisfaction were significantly higher in the observation group than the control group(P＜0.05).Moreover,the patients with middle cerebral artery and vertebral artery stenosis from the observation group obtained obviously higher propaganda score than those from the control group(P＜0.05).Conclusion The health education model combined with 3D-modeling can improve the patient's awareness of the diagnosis and treatment of intracranial artery stenosis,promote their satisfaction of medical treatment,and thus increase their compliance and the rate of interventional diagnosis and treatment,and then finally,prevent strokes caused by intracranial artery stenosis.

Innovative design and experimental study of electromagnetic ejection endoscopic suture device / 国际生物医学工程杂志

Objective:To design a novel electromagnetic ejection device for endoscopic suturing to achieve continuous deployment of suture nails.Methods:An electromagnetic ejection device and its accompanying suture nail structure were designed and a prototype was fabricated based on electromagnetic ejection principles. A finite element model of the electromagnetic ejection device was constructed to study the effects of armature-coil center distance and different driving voltages on suture nail ejection speed. An experimental platform for testing electromagnetic ejection velocity was constructed, and a high-speed camera was used to detect the ejection velocity. A platform for the suture embedding experiment was built to measure the effects of different voltages on the inserting speed of suture into the gastric wall tissue. A platform for a suture extraction force experiment was built to evaluate the extraction force of sutures embedded in tissues under different driving voltages.Results:A suture nail structure and electromagnetic ejection device were designed, and a prototype was fabricated. The ejection velocity increased and then decreased with the increase of the armature-coil center distance, and the maximum ejection velocity was 15.81 m/s at the center distance of 18 mm. At this distance, the voltage was linearly related to the ejection velocity, and the experimental values of the staple basically coincided with the simulated values. When the driving voltage was in the range of 150 to 180 V, the suture nails could successfully insert in the tissues, and the 180 V voltage group had a greater insertion depth. The extraction force of the suture nails at 120, 150, 180, and 210 V voltages were (0.49 ± 0.19), (1.14 ± 0.19), (1.23 ± 0.15), and (1.85 ± 0.31) N, respectively.Conclusions:A novel electromagnetic ejection device for endoscopic suturing is proposed that is capable of continuous firing of suture nails. This device provides a new long-distance driving method for intelligent, minimally invasive surgical instruments.

Multiagent-based simulation modeling of allocation of health care staff on board medical trains / 军事医学

Objective To study the applicability and optimization of computer simulation methods during the allocation of health care providers for medical evacuation on board medical trains.Methods Using Anylogic as a simulation modeling tool,the process of mass evacuation of the injured by means of medical trains was simulated.The simulated process of rescue involved the generation,categorization,treatment and surgery of the injured individuals.The allocation of health care resources was assessed based on the different rates at which the injured arrived.Results In the carriage for mild to moderate patients,24 doctors and 36 nurses could meet the need of treatment.In the carriage for critically ill ones,4 doctors and 6 nurses could meet the need when the rate at which the injured arrived was 100-200 people/an hour.When the injured arrived at the rate of 300-476 people/an hour,4 doctors and 8 nurses were needed.Conclusion Computer simulation can be feasibly used to study the allocation of human resources for health care,which can facilitate decision-making about mass evacuation of injured personnel by means of medical trains.

Predictive Modeling of Chronic Kidney Disease with Hypertension or Diabetes Based on Machine Learning Algorithms / 昆明医科大学学报

Objective To build the early predictive model for chronic kidney disease(CKD)in hypertension and diabetes patients in the community.Methods The CKD patients were recruited from 4 health care centers in 4 urban areas in Kunming.The control group was residents without hypertension and diabetes(n = 1267).The disease group was residents with hypertension and/or diabetes(n = 566).The questionnaire survey,physical examination,laboratory testing,and 5 SNPs gene types in the PVT1 gene.The risk factors,which were filtered with logistics regression,were used to build predictive models.Four machine learning algorithms were built:support vector machine(SVM),random forest(RF),Na?ve Bayes(NB),and artificial neural network(ANN)models.Results Thirteen indicators included in the final diagnostic model:age,disease type,ethnicity,blood urea nitrogen,creatinine,eGFR from MDRD,ACR,eGFR from EPI2009,PAM13 score,sleep quality survey,staying-up late,PVT1 SNP rs11993333 and rs2720659.The accuracy,specificity,Kappa value,AUC of ROC,and PRC of ANN are greater than those of the other 3 models.The sensitivity of RF is the highest among 4 types of machine learning.Conclusions The ANN predictive model has a good ability of efficiency and classification to predict CKD with hypertension and/or diabetes patients in the community.

Correlation between dynamic high-density lipoprotein trajectories and clinical outcomes in critically ill children / 中华实用儿科临床杂志

Objective:To characterize the longitudinal and dynamic high-density lipoprotein (HDL) trajectories in critically ill children and explore their correlation with clinical outcomes.Methods:Retrospective cohort study.All critically ill children admitted to the Pediatric Intensive Care Unit (PICU) of West China Hospital, Sichuan University from January 1, 2015 to October 1, 2020 were included in this retrospective study.Group-based trajectory modeling (GBTM) was applied to characterize the HDL trajectories in days 0-6 post-PICU admission and develop HDL trajectory groups.The in-hospital mortality rate was reported as frequency (%) and then compared by the Chi-square test or Fisher′s exact test between HDL trajectory groups.The length of stay (LOS) in the PICU was described by M( Q1, Q3), and its difference between HDL trajectory groups was evaluated by the Kruskal Wallis test.Logistic regression and multiple linear regression were used to determine the correlation between HDL trajectories and clinical outcomes.The primary outcome was in-hospital mortality rate, and the secondary outcome was LOS in the PICU. Results:A total of 4 384 critically ill children were ultimately enrolled in the study, and 6 HDL trajectory groups were developed based on GBTM analyses: group 1 (758 cases), the lowest HDL group; group 2 (1 413 cases), the low HDL group; group 3 (74 cases), the low-to-high HDL group; group 4 (621 cases), the medium HDL group; group 5 (1 371 cases), the high HDL group; and group 6 (147 cases), the highest HDL group.Logistic regression analysis showed that compared with critically ill children in group 1, those belonging to groups 2, 3, 4, 5, and 6 were at lower risks of in-hospital mortality with odds ratio ( OR): 0.475, 95%confidence interval ( CI): 0.352-0.641, P<0.001; OR: 0.093, 95% CI: 0.013-0.679, P=0.019; OR: 0.322, 95% CI: 0.208-0.479, P<0.001; OR: 0.263, 95% CI: 0.185-0.374, P<0.001, and OR: 0.142, 95% CI: 0.044-0.454, P=0.001, respectively.Multiple linear regression analysis revealed that compared with critically ill children in group 1, those belonging to groups 4, 5, and 6 had the trend of shorter LOS in PICU, and the β value and 95% CI were β: -4.332, 95% CI: -5.238- -3.426, P<0.001; β: -3.053, 95% CI: -3.809--2.297, P<0.001; β: -6.281, 95% CI: -7.842--4.721, P<0.001, respectively. Conclusions:The dynamic HDL trajectories during 0-6 days after PICU admission are associated with in-hospital mortality rate of critically ill children.The HDL trajectory at a persistently low level is associated with higher mortality, while the HDL trajectory at a persistently high level or with the trend from a low level rising to a high level shows a lower risk of mortality.It is suggested that the HDL trajectory model may become an indicator to predict the condition and prognosis of critically ill children.

A systematic review of mouse model construction for sarcopenia / 中国组织工程研究

BACKGROUND:Sarcopenia is a progressive,generalized skeletal muscle disease that is closely related to the occurrence of osteoarthritis,fractures,limb disability and death in the elderly.Establishing animal models of sarcopenia is essential to understand the pathophysiology of sarcopenia and to identify effective treatment strategies. OBJECTIVE:To review the evaluation criteria of mouse models of sarcopenia and the modeling methods of mouse models of sarcopenia,and to analyze and compare the advantages and disadvantages of various modeling methods,in order to provide reference for the research and diagnosis and treatment of sarcopenia. METHODS:"Sarcopenia,skeletal muscle aging,mouse model,animal model"in Chinese and English were used as Chinese and English search terms,respectively.The search formula was"(sarcopenia OR skeletal muscle aging)AND(mouse model OR animal model)."CNKI,WanFang and PubMed were searched for related articles published from January 2010 and October 2022.A total of 59 articles were finally included for analysis. RESULTS AND CONCLUSION:There is a faster modeling time in SAMP8 mice and the type of muscle atrophy is consistent with that of patients with sarcopenia.Therefore,it is an ideal model.Although the surgical method can successfully induce muscle atrophy,it requires precise surgical operation,which is difficult and time-consuming.Hindlimb suspension modeling in mice is similar to that of the elderly and can be regarded as an effective model of senile sarcopenia.Although reagent injection molding is simple to perform,both the dose and number of days of administration of reagents are not clear and need to be further investigated.Transgenic mouse models are less commonly used and their model stability needs further study.The search for a mouse model with low cost,short time consumption and high simulation of human sarcopenia is still a future research direction.

Comparison of protocols for constructing animal models of early traumatic knee osteoarthritis / 中国组织工程研究

BACKGROUND:Current osteoarthritis modeling methods include anterior cruciate ligament transection(ACLT)and ACLT combined with medial meniscal anterior horn resection.ACLT requires excessive postoperative exercise,which is time and labor-intensive.Complete removal of anterior horn of the medial meniscus can cause collateral damage and increase variability in modeling outcomes,requiring higher surgical skills from the surgeon. OBJECTIVE:To modify and simplify the traditional method to create animal osteoarthritis model and compare osteoarthritis symptoms of different modeling methods under a low-load exercise environment. METHODS:Forty-eight Sprague-Dawley rats were randomly assigned in four groups(n=12 per group):sham operation(complete exposure of the knee cavity of the left hind limb followed by suturing the joint cavity and skin),ACLT,ACLT+anterior horn resection(removal of the anterior horn of the medial meniscus)and ACLT+anterior horn tear(anterior horn tear of the medial meniscus).At 4 weeks after modeling,the rats were euthanized and their knee specimens were collected for gross observation,X-ray and CT scans,pathological observation,and PCR detection. RESULTS AND CONCLUSION:Gross observation:Mild meniscal wear was observed in the ACLT group.In the ACLT+anterior horn tear group,severe wear of the lateral condyle articular surface,mild wear of the medial condyle articular surface,severe meniscal wear,and full wear of the medial meniscus were observed.The ACLT+resection group showed severe wear of the lateral condyle articular surface,mild wear of the medial condyle articular surface,absence of the anterior horn of the medial meniscus,and meniscus wear area＞50%.Imaging examinations showed no significant difference among the four groups.However,the anterior tibial translocation sign was observed in the three operation groups and the anterior horn of the medial meniscus was missing in the ACLT+anterior horn resection group.Histopathological section observation:Hematoxylin-eosin,toluidine blue,and Sirius red staining showed smooth joint surfaces in the sham operation group and ACLT group;cartilage damage and matrix degradation were evident in the ACLT+anterior horn tear and ACLT+anterior horn transection groups,with less cartilage damage and matrix degradation in the ACLT+anterior horn tear group.PCR results showed higher mRNA expressions of interleukin 1β,interleukin 6,interleukin 8,tumor necrosis factor α,matrix metalloproteinase 1 and matrix metalloproteinase 3 and lower mRNA expressions of aggrecan in the ACLT+anterior horn tear group and ACLT+anterior horn resection group than in the sham operation group and ACLT group(P＜0.05).The mRNA expressions of interleukin 6,matrix metalloproteinase 1,and matrix metalloproteinase 3 were higher in the ACLT + anterior horn resection group than in the ACLT +anterior horn tear group(P＜0.05).To conclude,ACLT alone is less likely to induce osteoarthritis with obvious cartilage wear.ACLT combined with anterior horn resection or tear of the medial meniscus can induce obvious symptoms of osteoarthritis and achieve similar modeling effects.

Network meta-analysis of the modeling effects of different factors on rabbit models of steroid-induced osteonecrosis of femoral head / 中国组织工程研究

OBJECTIVE:The rabbit model of steroid-induced osteonecrosis of femoral head is the most commonly used animal model of femoral head necrosis.The pathological changes of the femoral head are close to clinical practice,however,the conditions,methods and evaluation standards of animal models reported in and outside China are not uniform,which leads to the low scientific value of animal models and is difficult to popularize.This study aimed to clarify the influence of different mold-making conditions on the establishment of steroid-induced osteonecrosis of femoral head rabbit model and analyze the appropriate conditions for the successful model establishment. METHODS:We searched the CNKI,WanFang,VIP,CBM,WoS,PubMed and EMbsae databases for the literature on the modeling of steroid-induced osteonecrosis of femoral head rabbits up to April 1,2022,completed the screening of the literature according to the inclusion and exclusion criteria and literature quality evaluation,and extracted the outcome index data in the literature.RevMan Stata and ADDIS statistical software were used to conduct a meta-analysis of the included data. RESULTS:(1)A total of 82 articles with 1 366 rabbits were included in the study.The steroid-induced osteonecrosis of femoral head modeling methods were divided into three types:steroid-alone method,steroid combined lipopolysaccharide method and steroid combined serum method.Among these,33 articles used steroid-alone method;20 articles used steroid combined lipopolysaccharide method;29 articles used steroid combined serum method.(2)Meta-analysis results showed that the three modeling methods significantly increased the rate of empty bone lacunae in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001),and significantly decreased the ratio of the trabecular bone area in the femoral head of steroid-induced osteonecrosis of femoral head rabbits(P<0.001).The order of empty bone lacunae rate of each modeling method was:steroid combined with lipopolysaccharide method>steroid-alone method>steroid combined with serum method>normal group,and the order of trabecular bone area rate of each modeling method was:normal group>steroid combined with serum method>steroid-alone method>steroid combined with lipopolysaccharide method.(3)The results of subgroup analysis suggested that the rate of empty bone lacunae in the rabbit model induced by steroid alone might be related to the rabbit variety and the type of steroid used for modeling(difference between groups P<0.05),in which the combined effect amount of New Zealand white rabbits was higher than that of Chinese white rabbits(P<0.05)and Japanese white rabbits,and the combined effect amount of dexamethasone was higher than that of other steroids.The rate of empty bone lacunae induced by steroid combined with lipopolysaccharide was related to the administration mode of lipopolysaccharide and the type of steroid(P<0.05),among which the combined effect of methylprednisolone sodium succinate was significantly higher than that of other steroids(P<0.05),and the combined effect of prednisolone was significantly lower than that of other steroids(P<0.05).The combined effect of lipopolysaccharide 100 μg/kg×twice was significantly lower than 10 μg/kg×twice and 50 μg/kg×twice(P<0.05).The rate of empty bone lacunae in the model induced by steroid combined with serum was related to serum dose and steroid type(P<0.05),among which the combined effect amount of dexamethasone sodium phosphate was significantly higher than other steroid types(P<0.05),and the combined effect amount of dexamethasone was significantly lower than other steroid types(P<0.05);the combined effect amount of serum"10 mL/kg+6 mL/kg"combined dose was lower than other serum doses(P<0.05). CONCLUSION:(1)With the rate of empty bone lacunae and the ratio of trabecular bone area as the judgment standard for the successful establishment of the model,the three modeling methods can successfully construct the rabbit steroid-induced osteonecrosis of femoral head model,of which the steroid combined with lipopolysaccharide method is the best.(2)New Zealand white rabbits and dexamethasone are recommended when selecting the steroid-alone method.Methylprednisolone sodium succinate and low-dose lipopolysaccharide are recommended when selecting the steroid combined with lipopolysaccharide method.Dexamethasone sodium phosphate is recommended when selecting the steroid combined with serum modeling method.

Establishing equivalent model to verify the precision of personalized bone model rapidly / 中国组织工程研究

BACKGROUND:Currently,the verification of the precision of personalized bone models is usually performed by methods such as paired t-tests or intraclass correlation coefficient,but such methods often require the production of large batches of models,which do not satisfy the need for immediate use of personalized models. OBJECTIVE:To study the feasibility of establishing the equivalent model to verify the precision of the personalized bone model rapidly. METHODS:Bone CT images of three adults were randomly obtained for reconstruction.3D printing was used to create personalized bone models,and then the personalized bone models were scanned using CT and reconstructed.Mimics was used to compare the reconstructed models of bone CT images with the bone CT images.Geomagic Studio was used to analyze the fitting deviation between the reconstruction model of personalized bone model CT image and the reconstruction model of skeletal CT image.The 3D-printed personalized bone model was measured against the measurement positions and dimensions marked on the reconstruction model of skeletal CT image,and the error was calculated. RESULTS AND CONCLUSION:(1)By comparing the reconstructed bone CT image model with the bone CT scan image,the two were compatible in terms of anatomical structure and morphology,and the contours almost overlapped.(2)By fitting bias analysis,the standard bias was 0.176,0.226,and 0.143 mm in order,and all the results were<0.25 mm.(3)By measuring and calculating the model,the mean relative errors were 0.44%,0.21%,and 0.13%,and all the results were within 5%error.(4)The constructed equivalent model was in line with the basic conditions for making personalized bone models.The established equivalent model met the clinical needs and design requirements,and it was feasible to use the method of the equivalent model to verify the precision of the personalized bone model quickly.(5)This method could provide a targeted and rapid way to verify the precision of personalized bone models.It could achieve the goal of providing immediate clinical use without the need to produce large batches of models compared to conventional methods such as paired t-tests or intraclass correlation coefficient.

Visual analysis of hot topics in concussion field by finite element method:Improvements in brain injury models,test methods and protective devices / 中国组织工程研究

BACKGROUND:Concussions caused by contact sports or traffic accidents are far more serious and common than people think,and have attracted widespread attention and high attention from the media,medical and sports circles in recent years. OBJECTIVE:To visualize the hot spots and trends in the field of concussion by using the method of bibliometrics,so as to provide some reference for the research in this field in China. METHODS:Based on the core collection database of Web of Science,the keyword retrieval strategy was(TS=(Concussion))AND TS=(Finite element).CiteSpace 6.2.R4 visualization tool was used to visually analyze the author,country,institution,keywords,cited documents,etc. RESULTS AND CONCLUSION:A total of 215 articles were included,with a general upward trend in the number of publications and citations.The distribution of disciplines involves biomedical engineering,biophysics,sports science,clinical neurology,neuroscience and other disciplines,showing a trend of interdisciplinary integration.The author with the most publications is Gilchrist M from University College Dublin,Ireland,the institution with the most publications is the University of Ottawa,and the country with the most publications is the United States.Key word analysis shows that the focus of research is on the establishment of brain injury models to simulate and predict concussion injuries;analysis of concussion injury mechanism;optimal design of protective equipment and devices.Through literature co-citation analysis,it is found that the prediction and evaluation of brain injury is the knowledge base and research hotspot in this field.The research hotspot of finite element application in the field of concussion injury mainly focuses on the prediction of head injury,combined with the exploration of brain injury mechanism and the design and improvement of protective equipment.With the progress of artificial intelligence and materials science,future research hotspots in the field of concussion injury will focus on the improvement of brain injury models,test methods and protective equipment.

Review of methods for establishing limbal stem cell deficiency in animal model / 中华实验眼科杂志

Limbal stem cell deficiency (LSCD) is a common ocular surface disease.Severe LSCD can cause irreversible vision loss and the only effective treatment for severe LSCD is keratoplasty, which is limited by the number of donors.Exploring new effective treatments in lieu of keratoplasty remains a hot topic in current research.Since new treatments need to be critically evaluated in reliable animal models that reflect the pathological mechanisms of human LSCD, the establishment of an appropriate animal model is crucial in any experiment.Up to now, the main modeling methods for LSCD are mechanical method, thermal injury, chemical method, chemical method combined with surgery, and gene knock-down.Mechanical method is mature, reliable and widely used, but it can cause serious mechanical damage.Rotate burr tool could be the best mechanical method because of uniform damage and the small trauma, but it requires accumulation of experience.Cornea suffered from thermal injury performs stable, but the operation is complicated and uncontrollable.Chemical method is quick and simple, and the etiology is highly consistent with clinical cases, but the depth and extent of injury are uncontrollable.The chemical method combined with surgery could ensure the smoothness and flattening of the corneal surface, but the thickness of the central cornea and the limbus may be inconsistent, which affects neovascularization.The gene knockdown method is not widely used because of its complicated operations.Although there are different types of methods, the quality of modeling in different studies is not consistent.Therefore, selecting a reliable and efficient animal model of LSCD is not convenient for researchers.This review discussed current methods to establish LSCD model, including their advantages and disadvantages, therefore to provide inspiration for future model improvement.

Application status and development trend of virtual clinical trials / 中国胸心血管外科临床杂志

@#Virtual clinical trials are clinical trials conducted through computer simulation technology, which breaks through the limitations of traditional clinical trials and has the advantages of saving time, reducing costs, and reducing the risk of human trials. With the application of new computer technologies such as population pharmacokinetics, physiologically-based pharmacokinetics, quantitative systems pharmacology, and artificial intelligence, the field of virtual clinical trials in healthcare has become an important development direction. This article will give a preliminary review of the connotation, methods and future development trends of virtual clinical trials, aiming to provide reference for the application of new technologies and methods in clinical trials.

Establishment and analysis of NLRP3-/- mouse models of ulcerative colitis / 中国实验动物学报

Objective To induce an NLRP3-/- mouse model of ulcerative colitis(UC)using different concentrations of dextran sulfate sodium(DSS)and different administration times,and to analyze and evaluate the advantages and disadvantages of the preparations to provide a more suitable animal model for the study of UC pathogenesis in humans and the development of therapeutic drugs.Methods Forty-eight male NLRP3-/- specific-pathogen-free mice were divided randomly into blank,2.5％7 d,3％7 d,and 3％5 d groups(n=12 mice per group).UC mouse models were induced using combinations of different concentrations and administration times of DSS.Body weight,DAI(disease activity index)score,hematoxylin and eosin(HE)staining,colon length,and related indicators(interleukin IL-6,tumor necrosis factor(TNF)-α,and tight junction protein(ZO-1))were observed and evaluated.Results(1)UC membrane type was induced in each group with different concentrations and administration times.(2)Mouse body weight decreased,the fecal occult blood became more positive,the DAI score increased,and more mice died with increasing DSS concentration and administration time.(3)Longer administration time and higher concentration of DSS were also associated with more severe damage to the intestinal mucosa,as shown by HE staining.(4)Immunohistochemistry showed that the inflammatory factors TNF-α and IL-6 were increased in the model group compared with the blank control group,while expression of ZO-1 was decreased compared with the blank group.Conclusions(1)Administration of 2.5％or 3％DSS for 7 days or 3％DSS for 5 days can induce UC in NLRP3-/- mice.(2)The combination of DAI score,HE staining,the detection of related indicators,and mouse survival rate indicated that NLRP3-/- mice treated with 3％DSS for 5 days produced the most suitable UC model to study the clinical manifestations and drug treatment of UC.

Structural Equation Modeling Analysis of the Influence Mechanism of Professional Innovation Performance in Public Hospitals / 中国卫生经济

Objective:To examine the impact of Developmental Human Resource Management Practices(D-HRMPs)on innova-tive performance of health professionals from the public hospitals.Methods:A questionnaire survey was conducted to collect data from health professionals in the public hospitals in Beijing,including D-HRMPs scale,innovation performance scale,inclusive lead-ership scale and team innovation atmosphere scale.Descriptive statistics and structural equation model were used for the analysis.Results:D-HRMPs had a direct effect on the innovation performance of public hospital health professionals.Inclusive leadership can positive-ly affect the implementation of D-HRMPs and the formation of team innovation atmosphere.Meanwhile,team innovation atmo-sphere plays a mediating effect,that is,D-HRMPs can actively promote the formation of team innovation climate,and further indi-rectly affect the innovation performance of employees.Conclusion:The directors of public hospitals can further explore the im-plementation of D-HRMPs,and pay attention to adopting inclusive leadership to deepen the reform of personnel management system,and promote high-quality development of public hospitals.

Establishment and analysis of an early prognosis model of patients with acute kidney injury in intensive care unit / 中华危重病急救医学

Objective:To establish a predictive model for the progression of acute kidney injury (AKI) to stage 3 AKI (renal failure) in the intensive care unit (ICU), so as to assist physicians to make early and timely decisions on whether to intervene in advance.Methods:A retrospective analysis was conducted. Thirty-eight patients with AKI admitted to the intensive care medicine of the Third People's Hospital of Henan Province from January 2018 to May 2023 were enrolled. Patient data including acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) upon admission, serum creatinine (SCr), blood urea nitrogen (BUN), daily urine output during hospitalization, and the timing of continuous renal replacement therapy (CRRT) intervention were recorded. Based on clinically collected pathological data, standardized creatinine value ratio mean polynomial fitting models were established as the first criterion for judging the progression to stage 3 AKI after data cleansing, screening, and normalization. Additionally, standardized creatinine value ratio index fitting models were established as the second criterion for predicting progression to stage 3 AKI.Results:A total of 38 AKI patients were included, including 25 males and 13 females. The average age was (58.45±12.94) years old. The APACHEⅡ score was 24.13±4.17 at admission. The intervention node was (4.42±0.95) days. Using a dual regression model approach, statistical modeling was performed with a relatively small sample size of statistical data samples, yielding a scatter index non-linear regression model for standardized creatinine value ratio data relative to day " n", with y = 1.246?2 x1.164?9 and an R2 of 0.860?1, indicating reasonable statistical fitting. Additionally, a quadratic non-linear regression model was obtained for the mean standardized creatinine value ratio relative to day " n", with y = -0.260?6 x2+3.010?7 x-1.612 and an R2 of 0.998?9, indicating an excellent statistical fit. For example, using a baseline SCr value of 66 μmol/L for a healthy individual, the dual regression model predicted that the patient would progress to stage 3 AKI within 3-5 days. This prediction was consistent when applied to other early intervention renal injury patients. Conclusion:The established model effectively predicts the time interval of the progression of AKI to stage 3 AKI (renal failure), which assist intensive care physicians to intervene AKI as early as possible to prevent disease progression.

Decision characteristics in adolescents with mood disorders and suicide attempts / 中国心理卫生杂志

Objectives:To analyze the performance and characteristics of adolescent suicide attempters in dif-ferent dimensions of decision making,a computational model was used in this study.Methods:A total of 70 adoles-cent suicide attempters with mood disorders meeting the International Statistical Classification of Diseases and Re-lated Health Problems,Tenth Revision(ICD-10)diagnosis,40 non-suicide attempters with mood disorder,and 49 normal controls were included.By using the MCQ and IGT and through computational model analysis,the adoles-cent suicide attempters'performance and underlying cognitive components in impulsive decision making and value-and learning-based decision making were analyzed.Results:The overall delay discounting rates showed no signifi-cant differences(P＞0.05)among the group of suicide attempters,patient controls,and normal controls in the MCQ.This rate was significantly higher in suicide attempters and non-suicide attempters than in normal controls(P＜0.05);there was no significant difference between the three groups of subjects'decision making performance in the IGT(P＞0.05).Computational model analysis revealed that compared to non-suicide attempters and normal controls,suicide attempters showed reduced sensitivity to the outcome as well as reduced exploratory behavior(Pa-rameter estimate with non-overlapping 80％HDI).Conclusion:Adolescent suicide attempters may not be able to learn from the outcome of the decision and explore more possible options to resolve the crisis,as well as impulsive decision-making impairment may be associated with depressed states rather than suicide attempts.

Three-dimensional modeling of modified Le Fort Ⅰ osteotomy of the maxilla and finite element analysis of postoperative occlusion / 中国医科大学学报

Objective To establish a smooth three-dimensional(3D)geometric model of the maxilla based on CT data using four dif-ferent software packages,to mimic the modified Le Fort Ⅰ osteotomy and its fixation scheme,and to perform a finite element analysis of the postoperative occlusion.Methods CT data were preliminarily processed using Mimics software to produce an STL 3D model.The model was then imported into Inspire Studio software to create a smoothed PolyNURBS geometric model.SpaceClaim software was used to model the surgical osteotomy and fixation schemes.Finally,ANSYS Workbench was used to conduct a 3D finite element analysis simu-lating the patient's occlusion after surgery.Results The simulation results showed that the connection relationship of the finite element model was accurately established under the molar occlusion condition.Under a total occlusal force of 6 N,the maximum equivalent stress of the titanium plate was 73 MPa.Conclusion The maxillary modeling and analysis method used in this study can produce a smooth geometric model suitable for finite element simulation.The results of this study can provide reference for various fixation schemes in orthognathic surgery.

Analysis of influencing factors and prediction models of vancomycin AUC0-24h in postoperative orthopedic patients / 中国药师

Objective To investigate the influencing factors of vancomycin in the area under curve for 24 h(AUC0-24h)in patients after orthopedic surgery,and to predictive and analyze a good pharmacokinetic model for AUC0-24h Methods Patients who underwent orthopedic surgery and used vancomycin in The Sixth Affiliated Hospital of Xinjiang Medical University from January 2018 to December 2022 were included,and the basic information,the medication,the blood and biochemical indexes of the patients were collected to analyze the factors affecting postoperative vancomycin AUC0-24h in orthopedic surgery.The AUC0-24h was calculated using the first-level pharmacokinetic formula,the JavaPK? for Desktop(JPKD)and the vancomycin daily dose elimination rate formula.Results 91 patients were finally included,and the cystatin C(OR=189.168,P=0.005)and the single dose(OR=19.160,P＜0.001)were independent protective factors for vancomycin AUC0 24 h in postoperative orthopedic patients,and the retinol binding protein was an independent risk factor for vancomycin AUC0-24h(OR=0.910,P＜0.05).By predicting and analyzing the model of vancomycin AUC0 24h in postoperative orthopedic patients,the absolute percentage error of both JPKD software and vancomycin daily dose elimination rate formula were lower than 30％.The intraclass correlation efficient between the AUC0 24h of the JPKD software and vancomycin daily dose elimination rate formula,and the AUC0 24h of the first-level pharmacokinetic formula were 0.781 and 0.524,respectively.Conclusion Cystatin C is an important factor influencing vancomycin AUC0-24h in postoperative orthopedic patients,and JPKD software is more suitable for predicting vancomycin AUC0-24h after orthopedic surgery than the vancomycin daily dose elimination rate formula method.