ObjectiveTo assess the direct economic burden and influencing factors of road traffic injuries in Shanghai， providing a basis for future prevention of road traffic injuries. MethodsInformation of inpatient cases caused by road traffic injuries was collected from 22 pilot hospitals in Shanghai that participated in the registration and reporting system of injury hospitalizations from 2017 to 2020. The main content of the collected information included basic demographic information， total hospitalization costs for injuries， mode of transportation， cause of injury， nature of injury， location of injury， and hospital level. Univariate analysis was used to analyze the average hospitalization costs and length of hospital stay between different years. Kruskal-Wallis test was used to analyze the median hospitalization costs and the median length of hospital stay between different years， and the median hospitalization costs of different groups. A full subset regression model in multivariate regression was used to explore the main influencing factors of hospitalization costs. ResultsA total of 4 655 patients were hospitalized with road traffic injuries， including 2 675 males （57.47%） and 1 980 females （42.53%）. The average age was （53.84±15.37） years old， with a minimum age of 4 years old and a maximum age of 97 years old. 1 907 patients （40.97%） had non-motor vehicle accidents， and 2 748 patients （59.03%） had motor vehicle accidents. The average hospitalization cost is 23 245.71 yuan， with a median of 9 793.94 yuan. The average length of stay was 13.61 days， with a median stay of 10.00 days. The main factors affecting hospitalization costs included year， nature of injury， location of injury， length of hospital stay， and hospital level. ConclusionRoad traffic injuries seriously affect the health of middle-aged and young people， especially vulnerable road user such as pedestrians and cyclists， causing serious injury and an increase of direct economic burden year by year. Therefore， road traffic injury prevention projects should be actively carried out to reduce the occurrence of injuries.

Objective To investigate the effects of prolonged low-dose neutron-γ radiation on peripheral blood lymphocytes of logging workers. Methods The health information of workers in a logging company was collected by on-site blood sample collection and questionnaire survey. Individual doses of γ and neutron radiation were recorded using LiF elements and CR-39, respectively. Lymphocyte count in peripheral blood was measured by blood cytometer. Cell cycle and cyclins were detected by flow cytometry. Results The annual dose of some logging workers exceeded 5 mSv. Lymphocyte counts showed a difference of 15% between the group exposed to the lowest annual dose of 0–1 mSv (mean: 2.45 × 10⁹/L) and the group exposed to the highest annual dose of 5–25 mSv (mean: 2.08 × 10⁹/L). In comparison to pre-shift workers, logging workers exhibited a G1-phase arrest in the lymphocyte cycle, along with increased expression of cyclins p21 and CDK2. Conclusion Prolonged exposure to low-dose neutron-γ radiation leads to reduced lymphocyte counts as well as changes in lymphocyte cycle and cyclin expression.

Purpose/Significance The processing links and key technologies of health care big data are deeply discussed to provide in-formation support and guarantee for further promoting the application of health care big data.Method/Process According to the scientific research paradigm driven by big data,and based on the process perspective,the paper introduces the sources and characteristics of health care big data,analyzes the processing links and key technologies of big data,and discusses the current challenges and future development directions of health care big data processing.Result/Conclusion Both China and foreign countries have achieved innovative development in technologies for health care big data processing.However,there are still some challenges in multi-dimensional data collection,multi-mo-dal data integration,large model data analysis,and data security.In the future,through building a comprehensive platform of big data pro-cessing,and developing or integrating targeted functional modules,the existing problems can be effectively addressed.

ObjectiveTo analyze the characteristics of hospitalized unintentional injuries and to provide evidence for formulating injury prevention and control strategies. MethodsDescriptive analysis was conducted on injury information of unintentional injury cases reported from 22 monitoring hospitals during 2017 to 2020 by injury surveillance system. The composition ratio index was used to analyze and explore the distribution（population， time and place）of injuries related to different causes. The disease burden was described by the length of hospital stay and hospitalization cost. ResultsA total of 32 716 hospitalized unintentional injury cases were reported from 22 monitoring hospitals. The male to female ratio was 1.18∶1. The majority of males were aged 15‒64 years and the majority of females were aged over 45 years. The top three causes of injuries were falls， traffic-related and blunt injury. Injuries occurred more frequently in July and August. 42.81% of the cases occurred at home. Fracture cases accounted for 75.79%. The median length of hospital stay was 10 days and the median cost was 15 431.50 yuan. The share of both falls and non-motor vehicle accidents increased year by year. ConclusionFalls among elderly people and road traffic injuries are the main causes of hospitalized unintentional injuries， and sharp or blunt instrument injuries are more severe in the male workforce. Considering high direct and indirect economic losses from injuries， steps should to be taken to improve injury surveillance system and to implement injury prevention and control strategies targeted on key groups and key injuries.

Schizophrenia is a serious mental disease. The diagnosis of schizophrenia so far relies heavily on subjective evidence, including self-reported experiences by patients, manifestations described by relatives, and abnormal behaviors assessed by psychiatrists. The diagnosis, monitoring of the disease progression and therapy efficacy assessment are challenging due to the lack of established laboratory biomarkers. Based on the current literature, clinical consensus, guidelines, and expert recommendations, this review highlighted evidence-based potential laboratory biomarkers for the diagnosis of schizophrenia, including genetic biomarkers, neurotransmitters, neurodevelopmental-related proteins, and intestinal flora, and discussed the potential future directions for the application of these biomarkers in this field, aiming to provide an objective basis for the use of these biomarkers in the early and accurate diagnosis, treatment, and prognosis and rehabilitation assessment of schizophrenia.

Autoantibodies ; China ; Cohort Studies ; Follow-Up Studies ; Humans ; Idiopathic Pulmonary Fibrosis

OBJECTIVES: To analyze the regional epidemic features of coronavirus disease 2019 (COVID-19) in Henan Province, China. METHODS: According to the data of COVID-19 patients and the resident population at the end of 2018 in Henan Province, statistical description and analysis of epidemiological characteristics of COVID-19 in Henan Province were conducted, including the time distribution, population distribution, and regional distribution. RESULTS: The cumulative incidence of COVID-19 in Henan Province was 1.32/100 000, the cure rate was 98.03%, and the fatality rate was 1.73% by March 9, 2020. The incidence curve showed that the epidemic peak reached from January 24 to January 28. The high-incidence area was Xinyang, with a standardized cumulative incidence rate of 4.36/100 000. There were 580 female COVID-19 patients (45.60%), 688 males (54.09%) in Henan Province. The incidence of males was 1.41/100 000, while the incidence of females was 1.23/100 000. The age with the highest incidence of COVID-19 in Henan Province was 20-69 years old (88.68%). The incidence rate was highest in men aged 30-39 (2.51/ 100 000), while the lowest rate in women aged 0-9 (0.16/100 000). There were 1 225 local patients (96.31%), and the rural patients (45.73%) were slightly higher than the urban patients (44.02%) in Henan Province. A total of 63.60% patients had traveled or lived in Hubei or contacted with people who came from Hubei to Henan. The proportion of patients whose family members suffered from COVID-19 was 32.70%. Global spatial autocorrelation analysis suggested that there was a statistically significant positive correlation in the spatial distribution of COVID-19 patients in Henan Province (Moran's =0.248, =2.955, <0.01). CONCLUSIONS There are differences in the morbidity and mortality of COVID-19 patients in different areas of Henan Province, with epidemic peak reaching from January 24 to January 28. Henan is dominated by local patients, male patients, and patients with contact history in Hubei. The space appears to be moderately clustered.
Adult ; Aged ; Betacoronavirus ; Child ; Child, Preschool ; China ; epidemiology ; Coronavirus Infections ; epidemiology ; Female ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; epidemiology ; Spatial Analysis ; Young Adult

Objective Through the statistics of drug consumption in the task of Harmonious Mission -2018, sort out the process of medication supply of overseas medical services, analyze and evaluate the medication supply services. Methods Count the types and quantities of medicines consumed by marine hospitals in the Harmonious Mission-2018, analyze whether the preparation of medicines is sufficient, effective, and economically reasonable, and find way to improve the process of medicine supply in overseas medical services. Results Statistics on the consumption of drugs in the Harmonious Mission-2018 show that the number of drugs consumed accounted for 68.21% of the total kinds of medicine carried, that the total amount of drugs consumed accounted for 40.61% of the total costs of medicine carried, and that the total number of boxes of drugs consumed (the number of the smallest packages) accounted for 21.72% of the total number of boxes of medicine carried. Conclusion The medicine support services in the Harmonious Mission-2018 was sufficient and effective. But, the workflow and the processes of the services still need to be further improved.

The actor network theory, with reference to systems science, sociology and management science, offers a new perspective for research of the technology-society binary view. This theory as introduced by the authors, analyzed the constituent bodies and their relationship of the operation of the precise medical service system, and studied the translation process of the actor network. The analysis showed that the main factors affecting the operation of the precision medical service system were hospitals, patients, governments, scientific research institutions, technology-based enterprises, and universities, which were suppliers, demanders, managers, funders, and technical supporters of precision medical services. Among them, 82.72%(335/405) of clinicians believed that hospitals were the core actor that affected the operation of precision medical service system. 71.60%(290/405) of the clinicians thought that the training of medical workers was the current focus of the hospital, i. e., the mandatory access point for this actor network. Through training, the accurate medical service ability of medical workers and hospitals can be improved.

Objective: To analyze the antimicrobial resistance profile in Chinese children. Methods: This was a prevalence survey. From January 1 through December 31, 2016, the isolates were collected from 10 tertiary children hospitals in China. Antimicrobial susceptibility testing was carried out by routine laboratory methods. The penicillin susceptibility of streptococcus pneumonia and Meropenem susceptibility of gram-negative bacteria were detected by E-test and disk diffusion method respectively. Antimicrobial susceptibility results were interpreted according to the criteria of Clinical and Laboratory Standards Institute (CLSI) Guideline 2016. The data of antimicrobial susceptibility testing of isolates from either the different patients (neonatal group and non-neonatal group) or various sources were analyzed by WHONET 5.6 software. Results: A total of 56 241 isolates were collected, of which 41.5% (23 328 isolates) were gram-positive organisms and 58.5% (32 886 isolates) gram-negative organisms. The five leading pathogens were Escherichia coli (7 995/56 214, 14.2%), Straphylococcus aureus (6 468/56 214, 11.5%), Streptococcus pneumonia (6 225/56 214, 11.1%), Haemophilus influenza (5 435/56 214, 9.7%) and Klebsiella pneumonia (4 523/56 214, 8.0%). The Meropenem resistance rates of Klebsiella pneumonia, Enterobacter cloacae, Escherichia coil, Pseudomonas aeruginosa, Acinetobacter baumonia isolates were 27.4% (326/1 189) , 8.1% (29/358) , 2.0% (27/1 362) , 19.5% (34/174) , 49.7% (230/463) in neonatal group and 15.4% (512/3 327) , 4.8% (40/841) , 2.3% (151/6 564) , 13.7% (252/1 840) , and 53.4% (860/1 611) in non-neonatal group. The Methicillin-resistant Staphylococcus aureus (MRSA) rates of neonatal group and non-neonatal group were 46.2% (649/1 404) and 33.3% (1 668/5 010) . The penicillin non-susceptible rates of Streptococcus pneumonia in the two groups were 17.6% (6/34) and 18.2% (1 121/6 158) respectively. The β-lactamase positive rates of Haemophilus pneumonia isolates in the neonatal group and non-neonatal groups were 33.8% (47/139) and 44.4% (2 345/5 282) respectively. Conclusion This investigation highlights the worrisome trend of antimicrobial resistance in children, especially among neonatal patients in China.