Objective To investigate the expression and change of cytoglobin(Cygb)gene on hypoxicischemic brain damage(HIBD).Methods Fifty SD rats of 7days old were divided into four study groups and one control group.The brain tissues were taken at 4hours,12hours,24hours and 48hours after the onset of HIBD.Cygb mRNA was determined by the reverse transcription PCR.One-way method of GraphPad Prism was used for statistics.Results The fragment length of PCR products was identical with experimental design.The expression level of Cygb gene increased at 4h after ischemia,and peaked at 24h.48h after HIBD,the Cygb gene level began to decrease.Conclusion The expression of Cygb in brain tissue increased rapidly after HIBD of newborn rats,suggesting that Cygb may have important function in the protection process of HIBD.

Objective:To investigate the proliferation of rat glomerular mesangial cells (GMC) influenced by different ethanol extracts of Tripterygium wilfordii HooK F.(TWHF).Methods:An HPLC method was used to establish the fingerprints of 5 different ethanol extracts of TWHF,and GMC was chosen to study the effects of different ethanol extracts of TWHF on cell proliferation.After statistical analysis,the spectrum-activity relationship was analyzed by using partial least squares regression(PLSR).Results:The HPLC fingerprints of the 5 different ethanol extracts of TWHF were established,and 32 characteristic peaks were characterized by the HPLC fingerprints.60%,70% and 95% ethanol extracts and glycosides tablets showed dose-effect relationship,and with the increase of dose,the more significant inhibition of cell proliferation was exhibited.The absorbance values of the 60% ethanol extracts at medium and high doses were lower than those of the other extracts at the same dose.The proliferation inhibition rate of GMC was used as the potency index and analyzed by PLSR,and 20 peaks were potency peaks at high dose(40 μg·L-1),17 ones were potency peaks at medium dose(20 μg·L-1) and 15 ones were potency peaks at low dose(10 μg·L-1).Conclusion:Part of the potency peaks has regular dose-effect relationship with the changes of dose.

Objective To predict the burden caused by fatal road traffic injuries from 2015 to 2030. Methods We searched the websites of United Nations Population Division,United States Department of Agriculture,World Health Organization,China Energy Research Foundation and other agencies to obtain the predictive values of gross domestic product(GDP)per capita,urbanization, motorization and education from 2015 to 2030 in China. Predicted values were then applied to log-linear models to estimate the numbers and years of life lost due to road traffic injuries from 2015 to 2030. Results The mortality rate caused by road traffic injury decreased slightly,from 13.7/100 000 in 2015 to 11.8/100 000 in 2030. 191,189,183,169 thousand persons were estimated to die from road traffic crashes in 2015,2020,2025 and 2030,respectively,showing a declining trend. Years of Life Lost(YLLs)caused by road traffic deaths were predicted to be 6 918,6 634,6 189,5 513 thousand years in 2015,2020,2025 and 2030,respectively,also showing a gradual downward trend. But the YLLs displayed an increase among people at 55 years of age or older,between 2015 and 2030. Results from the sensitivity analysis showed a stable forecasting result. Conclusion Mortality, number of deaths and YLLs from road traffic crashes were predicted to decrease slightly,between 2015 and 2030 but the number of deaths and YLLs due to road traffic injuries will continue to increase from 2015 to 2030.

OBJECTIVE: To determine the prevalence and incidence of illness of two-week duration, and the factors influencing these, among residents 15 years and older in four counties of Hunan Province. METHODS: Data were sampled from four counties of Hunan Province for the Fourth National Health Service Survey. Incidence and two-week prevalence of disease were used to assess the health service needs of residents. A non-conditional, stepwise logistic regression was employed to explore the influencing factors. RESULTS: The two-week prevalence and incidence were 11.5% and 3.9%, respectively, in four counties of Hunan. The three leading diseases of two-week prevalence were: respiratory diseases, digestive diseases, and musculoskeletal diseases. Non-conditional stepwise logistic regression showed that urban residents had 0.64 times the risk of two-week illness compared with the rural residents (P< 0.05); residents in the 45-59 year age group and the 60+ year age group had 1.69 and 2.62 times the risk of two-week illness compared with residents in the 15-44 year age group, respectively (P<0.05). The widowed had 1.91 times the risk of prevalence of two-week illness contrasted to singles (P<0.05); the students had 0.29 times the risk of two-week illness contrasted to the workers (P<0.05); urban residents had 0.63 times the risk of two-week illness compared with the rural (P<0.05); the widowed had 2.37 times the risk of incidence of two-week illness compared with singles (P<0.05). CONCLUSION The majority of health service needs of residents of four counties is generated by three diseases: respiratory diseases, digestive diseases, and musculoskeletal diseases. Relatively, rural residents, the elderly, employed persons and the widowed have higher health service needs than others and deserve specific attention.
Adolescent ; Adult ; Aged ; China ; epidemiology ; Community Health Services ; statistics & numerical data ; Digestive System Diseases ; epidemiology ; Female ; Humans ; Incidence ; Male ; Middle Aged ; Musculoskeletal Diseases ; epidemiology ; Respiratory Tract Diseases ; epidemiology ; Sampling Studies ; Surveys and Questionnaires ; Young Adult

OBJECTIVETo predict the burden caused by fatal road traffic injuries from 2015 to 2030.

METHODSWe searched the websites of United Nations Population Division,United States Department of Agriculture, World Health Organization, China Energy Research Foundation and other agencies to obtain the predictive values of gross domestic product (GDP) per capita, urbanization, motorization and education from 2015 to 2030 in China. Predicted values were then applied to log-linear models to estimate the numbers and years of life lost due to road traffic injuries from 2015 to 2030.

RESULTSThe mortality rate caused by road traffic injury decreased slightly, from 13.7/100 000 in 2015 to 11.8/100 000 in 2030. 191, 189, 183, 169 thousand persons were estimated to die from road traffic crashes in 2015, 2020, 2025 and 2030, respectively, showing a declining trend. Years of Life Lost (YLLs) caused by road traffic deaths were predicted to be 6 918, 6 634, 6 189, 5 513 thousand years in 2015, 2020, 2025 and 2030, respectively, also showing a gradual downward trend. But the YLLs displayed an increase among people at 55 years of age or older, between 2015 and 2030. Results from the sensitivity analysis showed a stable forecasting result.

CONCLUSIONMortality, number of deaths and YLLs from road traffic crashes were predicted to decrease slightly, between 2015 and 2030 but the number of deaths and YLLs due to road traffic injuries will continue to increase from 2015 to 2030.

Accidents, Traffic ; mortality ; Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; China ; epidemiology ; Cost of Illness ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Young Adult

OBJECTIVETo develop the forecasting models for fatal road traffic injuries and to provide evidence for predicting the future trends on road traffic injuries.

METHODSData on the mortality of road traffic injury including factors as gender and age in different countries, were obtained from the World Health Organization Mortality Database. Other information on GDP per capita, urbanization, motorization and education were collected from online resources of World Bank, WHO, the United Nations Population Division and other agencies. We fitted logarithmic models of road traffic injury mortality by gender and age group, including predictors of GDP per capita, urbanization, motorization and education. Sex- and age-specific forecasting models developed by WHO that including GDP per capita, education and time etc. were also fitted. Coefficient of determination(R(2)) was used to compare the performance between our modes and WHO models.

RESULTS2 626 sets of data were collected from 153 countries/regions for both genders, between 1965 and 2010. The forecasting models of road traffic injury mortality based on GDP per capita, motorization, urbanization and education appeared to be statistically significant(P < 0.001), and the coefficients of determination for males at the age groups of 0-4, 5-14, 15-24, 25-34, 35-44, 45-54, 55-64, 65+ were 22.7% , 31.1%, 51.8%, 52.3%, 44.9%, 41.8%, 40.1%, 25.5%, respectively while the coefficients for these age groups in women were 22.9%, 32.6%, 51.1%, 49.3%, 41.3%, 35.9%, 30.7%, 20.1%, respectively. The WHO models that were based on the GDP per capita, education and time variables were statistically significant (P < 0.001)and the coefficients of determination were 14.9% , 22.0%, 31.5%, 33.1% , 30.7%, 28.5%, 27.7% and 17.8% for males, but 14.1%, 20.6%, 30.4%, 31.8%, 26.7%, 24.3%, 17.3% and 8.8% for females, respectively.

CONCLUSIONThe forecasting models that we developed seemed to be better than those developed by WHO.

Accidents, Traffic ; mortality ; prevention & control ; trends ; Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Forecasting ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Models, Statistical

OBJECTIVE: To evaluate the satisfaction of service for outpatient within two weeks and for inpatient service within a year in Hunan Province in 2013 and to analyze the influential factors.
 METHODS: Using the data from the First Health Service Survey of Hunan Province, we evaluated the satisfactions for service in outpatients and inpatients based on the listed satisfaction indicators of the Fifth National Health Service Survey questionnaire. Weighted logistic regression was used to examine the influential factors for patients' satisfactions. SURVEYFREQ and SURVEYLOGISTIC procedures in SAS9.2 were used to conduct statistical analysis.
 RESULTS: The overall satisfaction proportion was 73.85% (95% CI: 68.67%-79.03%) and 66.31% (95% CI: 61.28%-71.34%) for outpatients and inpatients, respectively. After adjusting the location, gender, age and household income, high degree of satisfaction for outpatients was associated with good patience and trust in medical personnel as well as the low medical costs, with the adjusted odds ratios of 3.64, 5.38 and 3.34, respectively; high degree of satisfaction for inpatients was associated with a good attitude from medical personnel to patients' questions, high patients' trust in medical personnel and low medical costs, with the adjusted odds ratios of 2.56, 4.69 and 4.35, respectively.
 CONCLUSION Most of outpatients and inpatients were satisfied with medical services in 2013 in Hunan province. High degree of satisfaction is associated with good attitude from medical personnel to patients' questions, good patience and trust in medical personnel, and low medical costs.
China ; Health Care Surveys ; Humans ; Inpatients ; Odds Ratio ; Outpatients ; Patient Satisfaction

This study used the Appraisal of Guidelines Research & Evaluation-Health Systems （AGREE-HS） to demonstratively compare 34 global coronavirus disease-2019 （COVID-19） health systems guidance documents （HSGs） and 6 World Health Organization （WHO） standard HSGs. The comparison involved topic， participants， methods， recommendations， and implementability， with the aim of exploring the characteristics of emergency HSGs. The results showed that the emergency HSGs had an overall average score of 49%， with topic having the highest score， recommendations having the second highest score， and participants having the lowest score. The standard HSGs had an overall average score of 79%， with high scores in all items. The emergency HSGs had lower scores in participants， methods， recommendations， and implementability than the standard HSGs （P<0.001）， while the COVID-19 emergency HSGs developed by the WHO had higher score in topic than the standard HSGs （P<0.05）. Compared with those released by countries， the COVID-19 emergency HSG developed by the WHO showed superiority in all items and overall scores （P=0.000 2）. This indicates that emergency HSGs， represented by the COVID-19 emergency HSG， place equal emphasis on topic and recommendations as standard HSGs but have low requirements in terms of expert participation， evidence support， and comprehensive consideration in the time- and resource-limited context. They have the characteristics of prominent topics， clear purposes， orientation to demand， keeping up with the latest evidence， flexible adjustment， and timeliness， emphasizing immediate implementation effects， weakening long-term effects， and focusing on comprehensive benefits. Additionally， developers， types， and report completeness are important influencing factors.