BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

Objective To investigate serum vitamin D levels of healthy children in Beijing and to analyze the factors affecting vitamin D level.Methods Healthy children aged 1-14 years old who underwent physical examination in department of pediatrica,Civil Aviation General Hospital from September 2016 to September 2020 were randomly selected as research objects.Clinical data of the children were collected and a questionnaires survey was conducted.The level of 25-hydroxy vitamin D[25-(OH)D]was detected by liquid chromatography-tandem mass spectrometry.Serum 25-(OH)D levels were compared between different groups(grouped by age,gender,season,outdoor activity time,and vitamin D supplementation).Results A total of 990 children met the inclusion criteria.There were 500 boys and 490 girls,with a mean age of(6.42±3.50)years old.The mean serum level of 25-(OH)D was(28.23±6.74)ng/ml in all the selected children(range,11.70-51.90 ng/ml),(31.99±6.47)ng/ml in young child group,(27.54±6.49)ng/ml in preschool group,and(25.84±5.93)ng/ml in school-age group.The serum level of 25-(OH)D in the young child group was significantly higher than those in the preschool group and school-age group(P<0.05).There was no significant difference in the serum level of 25-(OH)D between the preschool group and school-age group(P>0.05).There were significant differences in the proportions of children with normal 25-(OH)D,insufficient 25-(OH)D and deficient 25-(OH)D among different age groups(P<0.05).There was no significant difference in the serum level of 25-(OH)D between boys and girls in the same age group(P>0.05).There was significant difference in 25-(OH)D levels among different age groups with a same gender(P<0.05).There was no significant difference in the proportions of children with normal 25-(OH)D,insufficient 25-(OH)D,or deficient 25-(OH)D between boys and girls(P>0.05).The level of serum 25-(OH)D and the proportion of children with normal serum 25-(OH)D reached the highest in summer and the lowest in winter.There were significant differences in the serum 25-(OH)D levels and the proportion of children with normal serum 25-(OH)D among different seasons(P<0.05).The serum 25-(OH)D level in children with outdoor activities≥1 h daily was significantly higher than that in children with outdoor activities<1 h daily(P<0.05).There were significant differences in the proportions of normal 25-(OH)D,insufficient 25-(OH)D and deficient 25-(OH)D between children with outdoor activities≥1 h daily and children with outdoor activities<1 h daily(P<0.05).The serum levels of 25-(OH)D in children of never-supplement group and sometimes-supplement group were lower than that in the daily supplement group(P<0.05),and there were significant differences in the proportions of normal 25-(OH)D,insufficient 25-(OH)D and deficient 25-(OH)D among the three groups(P<0.05).Conclusion Vitamin D nutritional status of healthy children in Beijing is good.Serum 25-(OH)D level decreases with age.No difference is found in the serum 25-(OH)D level between boys and girls in every age group.No abnormal vitamin D level is found in young children.The insufficiency and deficiency of vitamin D exist in preschool and school-age children,which needs to be improved.Vitamin D level in children is related to seasons.Sufficient time of outdoor activities and regular supplementation of vitamin D can help improve vitamin D nutritional status in children.

BACKGROUND:Cervical spondylosis is a chronic degenerative disease that has become one of the most common and frequent diseases threatening human health.At present,the initial diagnosis of the cervical spine and its surrounding structures mainly relies on the interpretation of medical images by radiologists,which not only requires a high level of technical requirements for operators,but also has the disadvantages of strong subjectivity,high labor intensity,and low efficiency.With the rapid development of artificial intelligence technology,its powerful data processing and image recognition capabilities have shown broad application prospects in the medical field.Deep learning has also made certain progress in the research of spinal diseases.OBJECTIVE:To summarize the current status and research progress in the application of artificial intelligence technology in cervical spine imaging images in recent years,evaluating the performance of artificial intelligence models as well as future trends and challenges to be overcome.METHODS:The first author searched the relevant articles in WanFang,CNKI,and PubMed in June 2024.The Chinese search terms were"artificial intelligence,deep learning,cervical spine."English serach terms were"artificial intelligence,Al,cervical vertebrae,cervical."Finally,101 articles were included and analyzed.RESULTS AND CONCLUSION:(1)Artificial intelligence technology can realize automatic segmentation of cervical vertebrae and measurement of curvature change by segmentation,classification,landmarks recognition of medical image parts,detect cervical vertebral fracture,nerve root,and spinal cord type cervical spondylosis,identify cervical spine ossification of posterior longitudinal ligament,and predict post-surgery related risk factors and cervical vertebra maturation classification.(2)Although artificial intelligence technology has shown great potential in the field of cervical spine research,it is still in the early stages of exploration and rapid development,with unlimited room for development and innovation.

BACKGROUND:Previous brain studies have mostly focused on adults and fetuses,and the developmental characteristics of young children's brainstems have rarely been studied. OBJECTIVE:To observe the brainstem development characteristics of healthy young children and to explore the age-related differences and their correlation with sex. METHODS:From January 2019 to April 2022,a retrospective study of 3.0T MRI images of 174 children aged 2 to 6 years in the Affiliated Hospital of Inner Mongolia Medical University was conducted,and the median sagittal diameter,area and angle of the brainstem(including midbrain,pons and medulla oblongata)were measured. RESULTS AND CONCLUSION:There is an age-related increase in the anterior and posterior diameters of the midbrain,pons and medulla oblongata in the 2-5 years old group as well as in the longitudinal diameter and area of the midbrain,pons and medulla oblongata in the 2-6 years old group.Except for the longitudinal diameter of the medulla oblongata,all others show a positive correlation with age(r>0,P<0.05).In the 2-3 years old group and 4-5 years old group,the children are in the rapid growth and development stage,and these two age groups can be used as the key observation indicators for the development of young children.The anterior-posterior diameter,longitudinal diameter,area of the pons and total brainstem area are strongly correlated with age,which can be used as the key observation indicators for the brainstem development in young children.

BACKGROUND:As a unique structure of the cervical spine,the occurrence,development and progression of the uncovertebral joint directly affect the stability and range of motion of the cervical spine,and are also closely related to the pathogenesis of cervical spondylosis.A thorough understanding of the developmental characteristics of the uncovertebral joint is of great significance for the pathogenesis,diagnosis,and treatment of cervical spondylosis. OBJECTIVE:By using imaging and three-dimensional reconstruction technology to measure and observe the cervical uncinate process-related angle in a large sample of different age groups,the aim is to reveal the characteristics of its changes with age and vertebral growth,as well as its relationship with cervical spine stability. METHODS:Using a retrospective research design,we collected 1 447 cases of raw CT imaging data that meet the study requirements for complete cervical spine segments.The raw data were imported into Mimics 21.0 software in DICOM format for post-processing and measurement of angle of uncinate process and sagittal angle of uncinate process.The data were grouped based on gender,age,and side. RESULTS AND CONCLUSION:(1)With the increase of vertebral sequence,the angle of uncinate process increased in a V-shaped shape,and the lowest peak was at C5.The overall population showed a sharp peak with the increase of age,and the peak value mostly occurred in the age range of 30-39 years.(2)The sagittal angle of the uncinate process increased like a fishhook with the increase of the vertebral sequence,and the overall angle of the uncinate process increased with age,and the peak value mostly occurred in the age range of 20-29 years.The uncinate process angle and sagittal angle showed only partial significant differences between sides and genders(P<0.05).(3)It is concluded that the angle of the uncinate process increased with the increase of vertebral sequence in a V-shaped manner.The sagittal angle of the uncinate process increases like a fish hook with increasing vertebral order,while the two angles generally peak with increasing age.The angle of the uncinate process is about 131°,which may be closely related to the stability of the cervical spine,while the sagittal angle of the uncinate process is about 14°,and its function may play a certain role in limiting the excessive rotation of the cervical spine.

Objective:To analyze the risk factors for 6-month prognosis of traumatic spinal cord injury (TSCI).Methods:A retrospective analysis was conducted of the 133 patients with TSCI who had been admitted to Department of Orthopaedics, The First Hospital Affiliated to Jinan University from January 2017 to August 2021. The patients with TSCI were categorized into an improved group ( n=82) and a non-improved group ( n=51) according to the improvements in the American Spinal Injury Association (ASIA) grading between admission and 6 months after injury. To identify the risk factors that might affect the prognosis of TSCI patients at 6 months after injury, univariate and logistic regression analyses were conducted of indicators such as gender, age, length of MRI spinal cord signal change, maximum canal compromise (MCC), maximum spinal cord compression (MSCC), brain and spinal cord injury center(BASIC)score, neutrophil-to-lymphocyte ratio (NLR) within 3 days after injury, ASIA grading within 3 days after injury, mean arterial pressure (MAP) at 3 days after operation, and presence of complications. Results:The univariate analysis showed significant differences between the improved and non-improved groups in length of MRI spinal cord signal change, MCC, MSCC, BASIC, NLR within 3 days after injury, ASIA grading within 3 days after injury, MAP at 3 days after operation, and presence of complications (all P<0.05). The logistic regression analysis showed that NLR ( OR=0.463, 95% CI: 0.287 to 0.748, P=0.002) and ASIA grading ( OR=11.684, 95% CI: 1.684 to 81.086, P=0.013) within 3 days after injury, as well as MAP at 3 days after operation ( OR=2.224, 95% CI: 1.306 to 3.787, P=0.003), were risk factors affecting the 6-month prognosis in TSCI patients. Conclusion:The NLR and ASIA grading within 3 days after injury, and MAP at 3 days after operation are risk factors that may affect the prognosis of TSCI patients at 6 months after injury.

Background::Heterotaxy (HTX) is a thoracoabdominal organ anomaly syndrome and commonly accompanied by congenital heart disease (CHD). The aim of this study was to analyze rare copy number variations (CNVs) in a HTX/CHD cohort and to examine the potential mechanisms contributing to HTX/CHD.Methods::Chromosome microarray analysis was used to identify rare CNVs in a cohort of 120 unrelated HTX/CHD patients, and available samples from parents were used to confirm the inheritance pattern. Potential candidate genes in CNVs region were prioritized via the DECIPHER database, and PNPLA4 was identified as the leading candidate gene. To validate, we generated PNPLA4-overexpressing human induced pluripotent stem cell lines as well as pnpla4-overexpressing zebrafish model, followed by a series of transcriptomic, biochemical and cellular analyses. Results::Seventeen rare CNVs were identified in 15 of the 120 HTX/CHD patients (12.5%). Xp22.31 duplication was one of the inherited CNVs identified in this HTX/CHD cohort, and PNPLA4 in the Xp22.31 was a candidate gene associated with HTX/CHD. PNPLA4 is expressed in the lateral plate mesoderm, which is known to be critical for left/right embryonic patterning as well as cardiomyocyte differentiation, and in the neural crest cell lineage. Through a series of in vivo and in vitro analyses at the molecular and cellular levels, we revealed that the biological function of PNPLA4 is importantly involved in the primary cilia formation and function via its regulation of energy metabolism and mitochondria-mediated ATP production. Conclusions::Our findings demonstrated a significant association between CNVs and HTX/CHD. Our data strongly suggested that an increased genetic dose of PNPLA4 due to Xp22.31 duplication is a disease-causing risk factor for HTX/CHD.

Objective:To describe the characteristics and change trends of incidence, mortality and disease burden of acute myocardial infarction (AMI) in Qingdao from 2014 to 2020.Methods:We analyzed the incidence data of AMI retrieved from Qingdao Chronic Diseases Surveillance System. The average annual percent change (AAPC) of morbidity and mortality of AMI were evaluated by using Joinpoint log-linear regression model. Disability adjusted life year (DALY) was used to estimate disease burden of AMI in Qingdao.Results:A total of 70 491 AMI cases and 50 832 deaths of AMI occurred in Qingdao from 2014 to 2020. The age-standardized morbidity and mortality were 54.71/100 000 and 36.55/100 000, respectively. During 2014-2020, the AAPC of age-standardized morbidity was 2.86% (95% CI: 0.42%-5.35%), and 4.30% (95% CI: 1.24%-7.45%) in men and 0.78% (95% CI: -0.89%-2.47%) in women, respectively. The log-linear regression model showed that age-standardized morbidity in age groups 30-39, 40-49 years increased rapidly, with the AAPCs of 8.92% (95% CI: 2.23%-16.06%) and 6.32% (95% CI: 3.30%-9.44%), respectively. The trend was also observed in age groups 30-39, 40-49 and 50-59 years in men, with the AAPCs of 11.25% (95% CI: 3.54%-19.54%), 6.73% (95% CI: 2.63%-10.99%) and 6.72% (95% CI: 2.98%-10.60%), respectively. There was no significant change in age-standardized mortality. The DALY rate increased from 7.49/1 000 in 2014 to 8.61/1 000 in 2020, with the AAPC of 1.97% (95% CI: 0.36%-3.60%). Conclusions:The age-standardized morbidity of AMI in men increased in Qingdao, especially in those aged 30-49 years, while age-standardized mortality rate of AMI was relatively stable from 2014 to 2020. The burden of disease of AMI increased in both men and women.

The 2022 Fudan university doctorate academic public health forum hosted by the graduate school of Fudan university， the graduate work department of the party committee of Fudan university， and the school of public health of Fudan university was successfully held on December 10， 2022 in the school of public health of Fudan university. In the early stage， a total of 53 manuscripts from nationwide universities and research institutes were received， and 10 were selected as excellent papers to participate in the forum report. More than 100 teachers and students attended the forum. Focusing on the theme of " Adhering to the original ambition of scientific research to serve the country and practicing the mission of public health youth"， the major contents of the forums included excellent paper reports in the morning and round-table discussion in the afternoon. Experts and students conducted discussions and communications on prevention， control and management of public health emergencies. It is of great benefit for students to uphold the original intention，practice the mission and further improve public health research.

Objective: To investigate the prevalence of witnessing domestic violence,and to explore the relationship between witness domestic violence in childhood and college students’ injury and violence behaviors. Methods: In October 2018, self-made questionnaire on “Health and Risky Behaviors among University Students in Anhui Province” was conducted among 4 034 college students from 4 universities in Hefei. Multivariate Logistic regression models (control of confounding factors) were used to explore the impact of childhood witnessing domestic violence on college students’ injury and violence. Results: Among 4 034 college students,the prevalence of witnessing domestic emotional violence,mild physical violence and severe physical violence in childhood was 27.6%,22.4%,10.7%,respectively. Univariate analysis showed that students with experiences of witness domestic emotional violence,mild physical violence and severe physical violence had higher rates of self-injury,physical,emotional,and sexual violence compared to those without domestic violence witness(P<0.05). Multivariate Logistic regression analysis showed that witnessing domestic severe physical violence,emotional violence in childhood associated positively with self-harm (OR=1.53,95%CI=1.05-2.23; OR=2.15,95%CI=1.51-3.04) and emotional violence (OR=1.65,95%CI=1.16-2.35; OR=2.57,95%CI=1.87-3.53). Witnessing domestic severe physical violence showed positive association with physical violence (OR=4.99,95%CI=2.58-9.62) and sexual violence (OR=8.68,95%CI=3.30-22.81) among college students (P<0.05). Conclusion The experiences of witness domestic violence can increases the risk of college student’s injury and violence behaviors,especially witness domestic severe physical violence.