ObjectiveBased on a new method for animal model evaluation， this study aims to analyze the characteristics of diseases and syndromes of existing animal models of attention deficit hyperactivity disorder （ADHD） from both traditional Chinese medicine （TCM） and western medical perspectives and propose suggestions for improvement. MethodsA systematic search of the China National Knowledge Infrastructure （CNKI） and PubMed was conducted for literature on ADHD animal models. According to TCM and western medical diagnostic criteria， core and accompanying symptoms of the models were assigned with scores to comprehensively evaluate the clinical consistency. ResultsThe selection of experimental animals for ADHD models primarily involved rodents， with modeling methods including genetic， chemical induction， and environmental induction. The average consistency of clinical diseases and syndromes with TCM and western medicine was 45.19% and 49.42%， respectively. The spontaneously hypertensive （SHR） rats and nicotine/smoking models had the highest consistency with TCM， while the social isolation models had the highest consistency with western medicine. Most models were guided by western medicine theories， which can meet the surface validity and structural validity requirements of western medicine but lacked precise differentiation of TCM syndromes. ConclusionExisting ADHD animal models primarily focus on a single genotype or environmental factor， lacking comprehensive consideration of multigenic interactions and environmental factors. Moreover， the selection of model evaluation indicators is relatively singular， primarily focusing on "disease" indicators， while TCM "syndrome" indicators have not been fully considered. It is recommended to introduce a "formula-to-syndrome" approach in the preparation of TCM models for ADHD and establish and improve an evaluation system of animal models combining diseases and syndromes， so as to provide a solid foundation for future experimental research.

ObjectiveBased on a new method for animal model evaluation， this study aims to analyze the characteristics of diseases and syndromes of existing animal models of attention deficit hyperactivity disorder （ADHD） from both traditional Chinese medicine （TCM） and western medical perspectives and propose suggestions for improvement. MethodsA systematic search of the China National Knowledge Infrastructure （CNKI） and PubMed was conducted for literature on ADHD animal models. According to TCM and western medical diagnostic criteria， core and accompanying symptoms of the models were assigned with scores to comprehensively evaluate the clinical consistency. ResultsThe selection of experimental animals for ADHD models primarily involved rodents， with modeling methods including genetic， chemical induction， and environmental induction. The average consistency of clinical diseases and syndromes with TCM and western medicine was 45.19% and 49.42%， respectively. The spontaneously hypertensive （SHR） rats and nicotine/smoking models had the highest consistency with TCM， while the social isolation models had the highest consistency with western medicine. Most models were guided by western medicine theories， which can meet the surface validity and structural validity requirements of western medicine but lacked precise differentiation of TCM syndromes. ConclusionExisting ADHD animal models primarily focus on a single genotype or environmental factor， lacking comprehensive consideration of multigenic interactions and environmental factors. Moreover， the selection of model evaluation indicators is relatively singular， primarily focusing on "disease" indicators， while TCM "syndrome" indicators have not been fully considered. It is recommended to introduce a "formula-to-syndrome" approach in the preparation of TCM models for ADHD and establish and improve an evaluation system of animal models combining diseases and syndromes， so as to provide a solid foundation for future experimental research.

The oral and maxillofacial region is a highly complex area composed of multiple tissue types and bears various critical functions of the human body. Diseases in this region pose significant diagnostic and management challenges; therefore, exploring new strategies for early diagnosis, targeted treatment, and tissue reconstruction is key to improving patient prognosis and quality of life. Extracellular vesicles are a group of heterogeneous lipid-bilayer membrane structures secreted by most cell types, including exosomes, microvesicles, and apoptotic bodies. Present in various body fluids and tissues, they act as messengers via the transfer of nucleic acids, proteins, and metabolites to recipient cells. To date, studies have revealed the different roles of extracellular vesicles in physiological or pathological processes, as well as applications in disease diagnosis, prognosis, and treatment. The importance and tissue specificity of the dental and maxillofacial tissues indicate that extracellular vesicles derived from this region are promising for further research. This paper reviews the published data on extracellular vesicles derived from cells, body fluids, and tissues in oral and maxillofacial regions, summarizes the latest advances in extracellular vesicles from extensive sources, and concludes with a focus on the current research progress and application prospects of engineered exosomes in oral science.
Humans ; Extracellular Vesicles/physiology* ; Mouth ; Exosomes/physiology*

Objective To analyze the current situation and characteristics of risk factors in antithrombotic therapy(in-cluding antiplatelet and anticoagulant treatments)at home and abroad,and to provide a theoretical basis for the prevention and treatment of thrombosis or bleeding associated with antithrombotic therapy.Methods The literature on risk factors of an-tithrombotic therapy published in Chinese databases(China Journal Full-text Data,Wanfang Database,VIP Database)and Eng-lish databases(PubMed,Web of Science,MEDLINE)from January 2011 to November 2021 was searched and bibliometric analy-sis was performed.The visualization analysis was performed using VOS viewer software.Results A total of 595 publications were included in the analysis.The top three countries for English publications were the USA,China,and Japan.The type of stud-ies were predominantly cohort studies,with sample sizes mostly being below 1 000.Risk factors for antithrombotic therapy are cat-egorized into those affecting antiplatelet drugs,warfarin,and new oral anticoagulants.Age,gender,renal function,and combination of antithrombotic drugs are common risk factors,and different risk factors of antithrombotic drugs also have their characteristics.Conclusion While there is substantial research on risk factors in antithrombotic therapy globally,the sample size needs to be improved.Pharmacists should provide individualized medication services based on different drugs and different groups to ensure medication safety for patients.

Objective:This study aimed to clarify the clinical characteristics of children infected with rhinovirus in the context of the Corona Virus Disease 2019 (COVID-19) pandemic and to explore the impact of recent COVID-19 infection history on their clinical features.Methods:Clinical data and laboratory test result of 286 children diagnosed with rhinovirus infection at Hangzhou Children′s Hospital from July 2022 to October 2023 were collected. A retrospective survey was conducted to determine whether all study participants had a history of COVID-19 infection within the 6 months prior to hospitalization.Results:Among the 286 children with rhinovirus infection, 180 (62.94%) had simple rhinovirus infection, while 106 (37.06%) had co-infections with other pathogens; Among the 180 rhinovirus simplex-positive children, 56.67% had wheezing symptoms; among them, 15 cases (15/180, 8.33%) were diagnosed with acute asthma attacks; 7 cases (7/180, 3.88%) were diagnosed with severe pneumonia. Based on whether the children had a history of COVID-19 infection in the 6 months prior to hospitalization, they were divided into a group with previous COVID-19 infection and a group without previous COVID-19 infection. There were no significant differences between the two groups in terms of gender, age of onset, peak fever, incidence of wheezing, incidence of pneumonia, proportion of severe pneumonia, proportion of severe asthma attacks, duration of fever, time to relief of wheezing, length of stay, white blood cell count, eosinophil count, C-reactive protein, procalcitonin, immunoglobulin E, oxygen therapy requirements, and use of intravenous steroids ( P>0.05). Conclusions:A history of COVID-19 infection in the past 6 months does not exacerbate the clinical symptoms of children with rhinovirus infection, nor does it increase the incidence of wheezing.

Objective·To establish a multifactorial discriminative model for predicting the degree of infiltration in patients with non-small cell lung adenocarcinoma based on clinically accessible laboratory indicators,such as tumor markers,coagulation function indicators,routine blood count indicators,and biochemical indicators.Methods·A retrospective study was conducted on 202 patients with lung adenocarcinoma admitted to Shanghai Chest Hospital in 2022.Multifactorial Logistic regression analysis was applied to screen independent factors that influenced the predictive infiltration degree of lung adenocarcinoma and to establish a regression model.In addition,machine learning was used to construct a discriminative model,and the area under the receiver operating characteristic curve(AUC)was used to evaluate the discriminative ability of the model to discriminate the degree of infiltration in lung adenocarcinoma patients.Results·A total of 202 patients with lung adenocarcinoma were included in the study,and divided into pre-invasive lesion group(n=59)and invasive lesion group(n=143).Multifactorial Logistic regression analysis revealed that urea,percentage of basophilic granulocytes,and albumin were independent factors for predicting the degree of infiltration of lung adenocarcinoma(all P<0.05).The predictive model expression was P = eX/(1 + eX),where X =(0.534×urea)+(1.527×percentage of basophilic granulocytes)-(1.916×albumin)+ 6.373.Machine learning results showed that the model performed best when urea,fibrinogen,albumin,percentage of basophilic granulocytes,prealbumin and carcino embryonic antigen(CEA)were included.After comparing the performance of 8 machine learning algorithms(based on ridge regression,least absolute shrinkage and selection operator,neural network,random forest,k-nearest neighbors,support vector machine,decision tree,and adaptive boosting algorithms)using the DeLong test,the ridge regression algorithm with the highest AUC was selected.The AUC of the predictive model was calculated to be 0.744(95%CI 0.656-0.832),with a sensitivity of 70.8%and a specificity of 70.2%.Conclusion·A comprehensive differentiation model constructed by urea,fibrinogen,albumin,percentage of basophilic granulocytes,prealbumin and CEA can effectively predict the infiltration degree of the enrolled lung adenocarcinoma patients,holding the potential to provide more precise guidance for the clinical grading and adjunctive treatment of lung adenocarcinoma.

BACKGROUND:For non-traumatic osteonecrosis of the femoral head,if the femoral head collapses,it will have a great impact on the normal life of the patients.Thus,it is necessary to use an appropriate way to evaluate the risk of femoral head collapse and then to take targeted measures to delay the process of femoral head collapse. OBJECTIVE:To analyze the natural course of early osteonecrosis of the femoral head(without collapse)under different locations of necrotic lesions. METHODS:121 patients(191 hips)with early non-traumatic osteonecrosis of the femoral head who were treated in the Outpatient Department of Honghui Hospital Affiliated to Xi'an Jiaotong University from October 2016 to October 2017 were enrolled in this study.The clinical data of all patients were followed up for 5 years to observe the collapse of osteonecrosis of the femoral head and the risk coefficient of femoral head collapse among different JIC types.The collapse rate of osteonecrosis of the femoral head was calculated during the follow-up. RESULTS AND CONCLUSION:(1)A total of 191 hips were included in this study.The femoral head collapsed in 86 hips during follow-up,with a total collapse rate of 45.0%.Among the influencing factors,age,ARCO stage and JIC classification were the main influencing factors of femoral head collapse(P<0.05),but body mass index,sex,incidence side and pathogenic factors were not the main influencing factors(P>0.05).(2)Among 191 hips,in JIC classification,the total collapse rates of type A,type B,type C1 and type C2 were 11.1%(2/18),30.2%(16/53),52.4%(43/82),and 65.8%(25/38),respectively.There were significant differences in the total collapse rate of the femoral head among all types(P<0.05).The collapse risk results showed that the collapse risk of type B,type C1 and type C2 was 2.41,5.22 and 7.89 times higher than that of type A,respectively.(3)Both JIC classification and ARCO stage were correlated with femoral head collapse(P<0.01).There was no significant difference in the collapse rate of the femoral head among all JIC types in ARCO I stage hips(P>0.05).In the hips with ARCO II stage,the collapse rates of the femoral head of JIC types A,B,C1 and C2 were 1.2%,19.5%,50.0%and 29.3%,respectively,and there were significant differences in the collapse rates among different types(P<0.05).(4)During follow-up,the collapse rates of the femoral head in the first to fifth years were 29.3%,7.9%,4.7%,2.6%and 0.5%,respectively.(5)Results showed that for early non-traumatic osteonecrosis of the femoral head,the risk of collapse of osteonecrosis of the femoral head is high within one year,and the location of the focus of osteonecrosis affects the risk of collapse of the femoral head.The effect of the location of the focus on the prognosis of the disease should be considered in clinical treatment.

BACKGROUND:Total knee arthroplasty is the main therapeutic regimen for end-stage osteoarthritis.However,diabetes mellitus can affect the treatment effect and prognosis. OBJECTIVE:To explore the effect of diabetes mellitus on perioperative blood loss and postoperative pain in patients undergoing primary total knee arthroplasty. METHODS:A retrospective study was conducted on 154 patients who underwent primary total knee arthroplasty and met the inclusion criteria in the Osteonecrosis and Joint Reconstruction Ward of Xi'an Honghui Hospital Affiliated to Xi'an Jiaotong University from January to April 2021.Patients were divided into a non-diabetic group and a diabetic group according to their diagnosis,with 32 cases in the diabetic group,9 males and 23 females,aged 55 to 80(66.58±7.16)years and 122 cases in the non-diabetic group,34 males and 88 females,aged 44 to 83(66.69±6.63)years.Perioperative blood loss(including total blood loss,hidden blood loss,the falling value of hemoglobin and hematocrit)was calculated for both groups.Visual analog scale scores,hospital for special surgery knee score,and Caprini scores were recorded preoperatively and postoperatively. RESULTS AND CONCLUSION:(1)Total blood loss was significantly lower in the non-diabetic group(729.93±233.83 mL)than that in the diabetic group(853.69±184.91 mL)(P<0.05).Latent hidden blood loss was also significantly lower in the non-diabetic group(624.40±233.19 mL)than that in the diabetic group(749.08±179.49 mL)(P<0.05).(2)In the non-diabetic group,the visual analog scale scores preoperatively and 1 month postoperatively were significantly lower than those in the diabetic group(P<0.05).The differences in visual analog scale scores at 3 days and 3 months postoperatively between the non-diabetic group and the diabetic group were not statistically significant(P>0.05).(3)The hospital for special surgery knee score at 1 month postoperatively was significantly higher in the non-diabetic group than that in the diabetic group(P<0.05).There was no significant difference in hospital for special surgery knee score between the two groups at 3 months postoperatively(P>0.05).(4)There was no statistically significant difference in preoperative and postoperative Caprini scores between the two groups(P>0.05).(5)It is concluded that having diabetes increases total and occult hidden blood loss in primary total knee arthroplasty.In the short term after total knee arthroplasty,diabetes increases the patient's pain and affects the recovery of joint function,but the negative effects fade with time.

Important anatomical structures such as mandibular incisive canal,tongue foramen,and mouth floor vessels may be damaged during implant surgery in the mandibular anterior region,which may lead to mouth floor hematoma,asphyxia,pain,paresthesia and other symptoms.In severe cases,this can be life-threatening.The insufficient alveolar bone space and the anatomical variation of blood vessels and nerves in the mandibular anterior region increase the risk of blood vessel and nerve injury during implant surgery.In case of vascular injury,airway control and hemostasis should be performed,and in case of nerve injury,implant removal and early medical treatment should be performed.To avoid vascular and nerve injury during implant surgery in the mandibular anterior region,it is necessary to be familiar with the anatomical structure,take cone-beam computed tomography,design properly before surgery,and use digital technology during surgery to achieve accurate implant placement.This article summarizes the anatomical structure of the mandibular anterior region,discusses the prevention strategies of vascular and nerve injuries in this region,and discusses the treatment methods after the occurrence of vascular and nerve injuries,to provide clinical reference.

The canalis sinuosus,a canal containing the anterior superior alveolar nerve bundle,originates from the infraorbital canal and extends along the maxillary sinus and nasal cavity edges to the anterior maxilla.It was once regarded as an anatomical variation.However,with the widespread application of cone beam computed tomography(CBCT),the detection rate of canalis sinuosus in the population has increased.The canalis sinuosus exhibits diverse courses,branching into multiple accessory canals and terminating at the nasal floor or the anterior tooth region,with the majority traversing the palatal side of the central incisor.The anterior superior alveolar nerve bundle within the canalis sinuosus not only innervates and nourishes the maxillary anterior teeth and the corresponding soft tissues,and the maxillary sinus mucosa,but also relates to the nasal septum,lateral nasal wall,and parts of the palatal mucosa.To minimize surgical complications,strategies for preventing and treating canalis sinuosus injuries need to be investigated.Preoperatively,CBCT is used to identify the canalis sinuosus and to virtually design implant placement at a distance of more than 2 mm from the canalis sinuosus.Intraoperatively,assessing bleeding and patient comfort,complemented by precision surgical techniques such as the use of implant surgical guide plates.Postoperatively,CBCT is used to examine the relationship between the implant and the canalis sinuosus,and treatment of canalis sinuosus injuries can be tailored based on the patient's symptoms.This review summarizes the detection of canalis sinuosus in the population,its anatomical characteristics,and the physiological functions in the anterior maxilla,and discusses strategies for avoiding canalis sinuosus injuries during implant surgery,thereby enhancing clinical awareness and providing references for clinical decision-making.