Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-positive bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-positive bacteria from blood cultures in member hospitals of National Bloodstream Infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:A total of 3 163 strains of Gram-positive pathogens were collected from 51 member units，and the top five bacteria were Staphylococcus aureus（ n=1 147，36.3%），coagulase-negative Staphylococci（ n=928，29.3%）， Enterococcus faecalis（ n=369，11.7%）， Enterococcus faecium（ n=296，9.4%）and alpha-hemolyticus Streptococci（ n=192，6.1%）. The detection rates of methicillin-resistant Staphylococcus aureus（MRSA）and methicillin-resistant coagulase-negative Staphylococci（MRCNS）were 26.4%（303/1 147）and 66.7%（619/928），respectively. No glycopeptide and daptomycin-resistant Staphylococci were detected. The sensitivity rates of Staphylococcus aureus to cefpirome，rifampin，compound sulfamethoxazole，linezolid，minocycline and tigecycline were all >95.0%. Enterococcus faecium was more prevalent than Enterococcus faecalis. The resistance rates of Enterococcus faecium to vancomycin and teicoplanin were both 0.5%（2/369），and no vancomycin-resistant Enterococcus faecium was detected. The detection rate of MRSA in southern China was significantly lower than that in other regions（ χ2=14.578， P=0.002），while the detection rate of MRCNS in northern China was significantly higher than that in other regions（ χ2=15.195， P=0.002）. The detection rates of MRSA and MRCNS in provincial hospitals were higher than those in municipal hospitals（ χ2=13.519 and 12.136， P<0.001）. The detection rates of MRSA and MRCNS in economically more advanced regions（per capita GDP≥92 059 Yuan in 2022）were higher than those in economically less advanced regions（per capita GDP<92 059 Yuan）（ χ2=9.969 and 7.606， P=0.002和0.006）. Conclusions:Among the Gram-positive pathogens causing bloodstream infections in China， Staphylococci is the most common while the MRSA incidence decreases continuously with time；the detection rate of Enterococcus faecium exceeds that of Enterococcus faecalis. The overall prevalence of vancomycin-resistant Enterococci is still at a low level. The composition ratio of Gram-positive pathogens and resistant profiles varies slightly across regions of China，with the prevalence of MRSA and MRCNS being more pronounced in provincial hospitals and areas with a per capita GDP≥92 059 yuan.

Objective:To analyze the spatial-temporal epidemiological characteristics of pertussis from 2013 to 2022 in Hebei Province and to provide a reference for improving prevention and control measures.Methods:Based on the data of pertussis reported in Hebei Province during 2013-2022 to analyze the popular characteristic, the ArcGIS 10.8 software was used to construct a ring map and to perform spatial autocorrelation analysis; the SaTScan 10.1 software was used for spatial-temporal scan statistics.Results:There were 6 715 cases of the cumulative report in Hebei Province from 2013 to 2022 without death. The annual report incidence was 0.90/100 000. The overall incidence rate showed an upward trend from 2013 to 2019, and during 2020-2021, it showed a sharp decline, but in 2022, it showed a sharp increase. Summer and autumn are the peak seasons of the epidemic. The incidence was highest in age group <1 year (48.67%), and the lowest age group in age group ≥15 years (0.45%) and mainly scattered children (78.03%); the incidence about men is higher than women. Spatial autocorrelation analysis showed that the onset of pertussis has spatial clustering, and high-high clusters were found in Langfang, Baoding, and Cangzhou, the top three countries with reported incidence. The area covered by a low-low cluster was consistent with the distribution of the corresponding low-incidence areas in this study. Space-time scan detects five statistically significant areas, and three zones were concentrated in 2022.Conclusions:The incidence of pertussis in Hebei had obvious season, population, and area-specific differences. There was obvious spatiotemporal and clustering, so the control of key areas should target the characteristics of time and space.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical Gram-negative bacteria isolates from bloodstream infections in China in 2022.Methods:The clinical isolates of Gram-negative bacteria from blood cultures in member hospitals of national bloodstream infection Bacterial Resistant Investigation Collaborative System（BRICS）were collected during January 2022 to December 2022. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical and Laboratory Standards Institute（CLSI）. WHONET 5.6 and SPSS 25.0 software were used to analyze the data.Results:During the study period，9 035 strains of Gram-negative bacteria were collected from 51 hospitals，of which 7 895（87.4%）were Enterobacteriaceae and 1 140（12.6%）were non-fermenting bacteria. The top 5 bacterial species were Escherichia coli（ n=4 510，49.9%）， Klebsiella pneumoniae（ n=2 340，25.9%）， Pseudomonas aeruginosa（ n=534，5.9%）， Acinetobacter baumannii complex（ n=405，4.5%）and Enterobacter cloacae（ n=327，3.6%）. The ESBLs-producing rates in Escherichia coli， Klebsiella pneumoniae and Proteus spp. were 47.1%（2 095/4 452），21.0%（427/2 033）and 41.1%（58/141），respectively. The prevalence of carbapenem-resistant Escherichia coli（CREC）and carbapenem-resistant Klebsiella pneumoniae（CRKP）were 1.3%（58/4 510）and 13.1%（307/2 340）；62.1%（36/58）and 9.8%（30/307）of CREC and CRKP were resistant to ceftazidime/avibactam combination，respectively. The prevalence of carbapenem-resistant Acinetobacter baumannii（CRAB）complex was 59.5%（241/405），while less than 5% of Acinetobacter baumannii complex was resistant to tigecycline and polymyxin B. The prevalence of carbapenem-resistant Pseudomonas aeruginosa（CRPA）was 18.4%（98/534）. There were differences in the composition ratio of Gram-negative bacteria in bloodstream infections and the prevalence of main Gram-negative bacteria resistance among different regions，with statistically significant differences in the prevalence of CRKP and CRPA（ χ2=20.489 and 20.252， P<0.001）. The prevalence of CREC，CRKP，CRPA，CRAB，ESBLs-producing Escherichia coli and Klebsiella pneumoniae were higher in provinicial hospitals than those in municipal hospitals（ χ2=11.953，81.183，10.404，5.915，12.415 and 6.459， P<0.01 or <0.05），while the prevalence of CRPA was higher in economically developed regions（per capita GDP ≥ 92 059 Yuan）than that in economically less-developed regions（per capita GDP <92 059 Yuan）（ χ2=6.240， P=0.012）. Conclusions:The proportion of Gram-negative bacteria in bloodstream infections shows an increasing trend，and Escherichia coli is ranked in the top，while the trend of CRKP decreases continuously with time. Decreasing trends are noted in ESBLs-producing Escherichia coli and Klebsiella pneumoniae. Low prevalence of carbapenem resistance in Escherichia coli and high prevalence in CRAB complex have been observed. The composition ratio and antibacterial spectrum of bloodstream infections in different regions of China are slightly different，and the proportion of main drug resistant bacteria in provincial hospitals is higher than those in municipal hospitals.

Objective:To report the results of national surveillance on the distribution and antimicrobial resistance profile of clinical bacterial isolates from bloodstream infections in China in 2021.Methods:The clinical bacterial strains isolated from blood culture from member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS) were collected during January 2021 to December 2021. Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute (CLSI). WHONET 5.6 was used to analyze data.Results:During the study period, 11 013 bacterial strains were collected from 51 hospitals, of which 2 782 (25.3%) were Gram-positive bacteria and 8 231 (74.7%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (37.6%), Klebsiella pneumoniae (18.9%), Staphylococcus aureus (9.8%), coagulase-negative Staphylococci (6.3%), Pseudomonas aeruginosa (3.6%), Enterococcus faecium (3.6%), Acinetobacter baumannii (2.8%), Enterococcus faecalis (2.7%), Enterobacter cloacae (2.5%) and Klebsiella spp (2.1%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 25.3% and 76.8%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci was detected; more than 95.0% of Staphylococcus aureus were sensitive to ceftobiprole. No vancomycin-resistant Enterococci strains were detected. The rates of extended spectrum B-lactamase (ESBL)-producing isolated in Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 49.6%, 25.5% and 39.0%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.2% and 15.8%, respectively; 7.9% of carbapenem-resistant Klebsiella pneumoniae was resistant to ceftazidime/avibactam combination. Ceftobiprole demonstrated excellent activity against non-ESBL-producing Escherichia coli and Klebsiella pneumoniae. Aztreonam/avibactam was highly active against carbapenem-resistant Escherichia coli and Klebsiella pneumoniae. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii (5.5% and 4.5%). The prevalence of carbapenem-resistance in Pseudomonas aeruginosa was 18.9%. Conclusions:The BRICS surveillance results in 2021 shows that the main pathogens of blood stream infection in China are gram-negative bacteria, in which Escherichia coli is the most common. The MRSA incidence shows a further decreasing trend in China and the overall prevalence of vancomycin-resistant Enterococci is low. The prevalence of Carbapenem-resistant Klebsiella pneumoniae is still on a high level, but the trend is downwards.

Objective:To analyze the trend of liver cancer mortality in rural key areas of Jiangsu Province, Anhui Province, Shandong Province, and Henan Province (4 provinces) from 2009 to 2019 and to explore the influence of behavioral risk factors on liver cancer mortality and its lagging effect, and provide a reference for the prevention and treatment of liver cancer in China.Methods:Based on the 2009-2019 National Cause of Death Surveillance Database of the Chinese Center for Disease Control and Prevention, and the survey data of tumor and risk factor behavior of residents in key areas of 4 provinces, Joinpoint 4.2 software was used to calculate the average annual percentage change (AAPC) for assessing the temporal trend of standardized mortality of liver cancer; Chi-square test and trend Chi-square test were used to analyze the regional distribution difference and temporal change trend of behavioral habit factors. Stata 16 was used to establish a panel model to analyze the correlation and lagging effect of behavioral risk factors with liver cancer.Results:The standardized mortality rate of liver cancer in Jinhu County, Sheyang County, Lingbi County, Shou County, Mengcheng County, Wenshang County, Juye County, Luoshan County, Shenqiu County, and Xiping County showed a downward trend (AAPC<0, P<0.05) from 2009 to 2019. The consumption frequency of pickles/salted fish, red meat, and aquatic products showed a downward trend. The consumption frequency of healthy foods such as fresh vegetables, fresh fruits, and dairy products in all counties and districts showed an upward trend, and the consumption frequency of fried foods, kimchi, smoked foods, moldy foods, coffee, and soy products remained at a low level ( P<0.05); but the consumption frequency of soy products and dairy products was still <20.00%. Fried food, pickles/salted fish, current smoking rate, alcohol consumption rate, and unvaccinated hepatitis B vaccine rate were positively correlated with liver cancer death, and there was a lag effect, and the lag period was 4, 1, 6, 5, 4 years respectively. Conclusions:From 2009 to 2019, the mortality rate of liver cancer in rural key areas of 4 provinces shows a downward trend. There is a correlation and lagging effect between behavioral risk factors such as fried food, smoking, and alcohol consumption and liver cancer death.

Objective:To explore the changes of liver cancer mortality and the effect of liver cancer on life expectancy in key areas of four provinces in China from 2008 to 2018 and provide the basis for the evaluation of comprehensive prevention and control of cancer and promotion of the rational allocation of health resources.Methods:Based on the national cause-of-death surveillance in key areas of the 4 provinces from 2008 to 2018, we analyzed the mortality of liver cancer, cause eliminated life expectancy (CELE) and potential gains in life expectancy (PGLEs). Software Joinpoint 4.9.0.0 was used to calculate the average annual percentage change (AAPC). Arriaga's decomposition method was used to estimate the contribution of the changes of liver cancer mortality in each age group to life expectancy.Results:The standardized mortality of liver cancer in key areas of the 4 provinces showed a downward trend from 2008 to 2018 (AAPC=-4.37%, P<0.001). The changes of liver cancer mortality had a positive effect on the increase of life expectancy, with a contribution value of 0.240 years and a contribution degree of 5.62%. The positive effect was greatest in age group 45-49 years (0.041 years, 0.96%), and the negative effect was greatest in age group 50-54 years (-0.015 years, -0.35%). Compared with 2008, the life expectancy increased by 4.27 years (AAPC=0.59%, P<0.001), the liver cancer CELE increased by 4.20 years (AAPC=0.58%, P<0.001), the PGLEs decreased by 0.07 years (AAPC=-0.62%, P<0.001), and life loss rate decreased by 0.13% (AAPC=-1.18%, P=0.001). The liver cancer PGLEs increased in Yongqiao district, Anhui province (0.09 years), and decreased in other districts (counties), with the largest decline was in Fugou county, Henan province (-0.21 years). Conclusions:From 2008 to 2018, the standardized mortality rate of liver cancer in key areas of the 4 provinces decreased gradually, contributing to the growth of life expectancy. The life loss caused by liver cancer decreased gradually, but the PGLEs varied with districts (counties).

Objective:The survey learned about the current status of depression in community's elderly aged 60 years and older and explored its influencing factors.Methods:Respondents from the "Prevention and Intervention of Key Diseases in the Elderly" project used a multi-stage stratified cluster random sampling method to complete the depression screening of 14 335 ≥60-year-old elderly people in 16 counties and districts Liaoning, Henan, and Guangdong provinces in 2019. Through the questionnaire survey on the demographic characteristics of the subjects, whether they live with their families or interact with neighbors, daily exercise, cognitive function, and activity of daily living (ADL), the PHQ-9 depression screening scale was used to assess the depression status of the elderly in the last fortnight. Binary logistic regression was used to analyze the influencing factors of depression in the elderly.Results:The prevalence of depressive symptoms among the elderly in Liaoning province, Henan province, and Guangdong province was 15.45%, and those in the three provinces were 18.17%, 18.87% and 9.93%, respectively. There were differences between urban and rural areas in the detection rate of depressive symptoms among the elderly in different regions, among which Henan: 17.09% vs. 20.61%; Guangdong province: 7.99% vs. 11.03%, the differences were statistically significant ( P<0.05). The results of multivariate logistic regression analysis showed that the detection rate of depressive symptoms in older women was higher than that in men ( OR=1.76, 95% CI: 1.58-1.96), in those divorced or separated ( OR=2.08, 95% CI: 1.01-4.30), with cognitive dysfunction ( OR=1.78, 95% CI: 1.59-1.98) or impaired essential ability of daily living (BADL) ( OR=1.74, 95% CI: 1.23-2.46). The impaired instrumental ability of daily living (IADL) ( OR=2.23, 95% CI: 1.97-2.54) was a risk factor for depression in the elderly ( P<0.05), and the impact of IADL impairment on depression in the elderly was higher than that of BADL impairment (2.23 vs. 1.74). Results also showed that factors as: 80 years old and above ( OR=0.82, 95% CI: 0.68-0.99), living with family members ( OR=0.67, 95% CI: 0.57-0.80), interacting with neighbors ( OR=0.86, 95% CI: 0.76-0.98), exercise multiple times per week ( OR=0.82, 95% CI: 0.69-0.96), and exercise almost every day ( OR=0.63, 95% CI: 0.56-0.70) were protective for depression in the elderly ( P<0.05). Conclusions:The detection rate of depressive symptoms in the elderly aged 60 and above in the community is relatively high in China. Gender, marital status, social interaction, physical exercise, cognitive function, and ADL are all influencing factors of depression in the elderly. The elderly health care sector should carry out psychological prevention and intervention of critical populations.

Objective:To investigate the bacterial composition and antimicrobial resistance profile of clinical isolates from bloodstream infections in China.Methods:The clinical bacterial strains isolated from blood culture were collected during January 2020 to December 2020 in member hospitals of Blood Bacterial Resistant Investigation Collaborative System (BRICS). Antibiotic susceptibility tests were conducted by agar dilution or broth dilution methods recommended by Clinical Laboratory Standards Institute(CLSI, USA). WHONET 5.6 was used to analyze data.Results:During the study period, 10 043 bacterial strains were collected from 54 hospitals, of which 2 664 (26.5%) were Gram-positive bacteria and 7 379 (73.5%) were Gram-negative bacteria. The top 10 bacterial species were Escherichia coli (38.6%), Klebsiella pneumoniae (18.4%), Staphylococcus aureus (9.9%), coagulase-negative Staphylococci (7.5%), Pseudomonas aeruginosa (3.9%), Enterococcus faecium (3.3%), Enterobacter cloacae (2.8%), Enterococcus faecalis (2.6%), Acinetobacter baumannii (2.4%) and Klebsiella spp (1.8%). The prevalence of methicillin-resistant Staphylococcus aureus (MRSA) and methicillin-resistant coagulase-negative Staphylococcus aureus were 27.6% and 74.4%, respectively. No glycopeptide- and daptomycin-resistant Staphylococci were detected. More than 95% of Staphylococcus aureus were sensitive to rifampicin and SMZco. No vancomycin-resistant Enterococci strains were detected. Extended spectrum β-lactamase (ESBL) producing Escherichia coli, Klebsiella pneumoniae and Proteus mirabilis were 48.4%, 23.6% and 36.1%, respectively. The prevalence rates of carbapenem-resistance in Escherichia coli and Klebsiella pneumoniae were 2.3% and 16.1%, respectively; 9.6% of carbapenem-resistant Klebsiella pneumoniae strains were resistant to ceftazidime/avibactam combination. The prevalence rate of carbapenem-resistance in Acinetobacter baumannii was 60.0%, while polymyxin and tigecycline showed good activity against Acinetobacter baumannii. The prevalence rate of carbapenem-resistance of Pseudomonas aeruginosa was 23.2%. Conclusions:The surveillance results in 2020 showed that the main pathogens of bloodstream infection in China were gram-negative bacteria, while Escherichia coli was the most common pathogen, and ESBL-producing strains declined while carbapenem-resistant Klebsiella pneumoniae kept on high level. The proportion and the prevalence of carbapenem-resistant Pseudomonas aeruginosa were on the rise slowly. On the other side, the MRSA incidence got lower in China, while the overall prevalence of vancomycin-resistant Enterococci was low.

【Objective】 To understand the current status of medical staff’s awareness of hospital infection prevention and control during the epidemic of COVID-19 in Shaanxi Province and analyze its influencing factors. 【Methods】 The questionnaire was designed on the "Questionnaire Star" website. Based on the WeChat platform, a voluntary sampling method was used to invite online questionnaires. From March 13 to 29, we collected a total of 8037 questionnaires, 30 of which did not meet the requirements and had logical problems, and finally 8 007 valid questionnaires were obtained. 【Results】 A total of 8 007 medical staff were surveyed. Among them, Medical staff of Grade 3A, Grade 3B, Grade 2A, and Grade 2B hospital accounted for 39.6%, 2.3%, 55.3%, and 2.6%, respectively. The average age of the respondents was (32.1±7.2) years old, including 7 199 nurses and 501 doctors. The training effect was statistically significant in different regions, different hospital levels, whether it was a designated hospital and whether there were sensor control supervisors, as well as medical staff of different specialty, professional title, and work area (all P<0.01). The basic cognitive situation of the surveyed subjects showed that most medical staff in Shaanxi Province had a correct rate of less than 30% in whether they needed to disinfect before de-protection and how to disinfect the hospital environment. Multivariate linear regression analysis showed that the cognition level of medical staff in Grade A hospitals was significantly lower than that in Grade A hospitals (P<0.01). The cognition level of medical staff in designated hospitals was significantly higher than that of others (P<0.01). The cognition level of medical staff in hospitals with sensory control supervisors was significantly higher than that of others (P<0.01). The cognition level of people aged 25-34 and 35-44 was significantly lower than those aged 45 and above (all P<0.01). The cognition level of medical technicians and service personnel was significantly lower than that of doctors (P=0.02 and <0.01, respectively). The cognition level of medical staff with intermediate, associate senior, and senior professional titles was significantly higher than the cognition level of those with junior and below professional titles (all P<0.01). The cognition level of medical staff in fever clinics, emergency departments, isolation wards, ICU and other surgeries was significantly higher than that of those working in ordinary outpatient department (P=0.01, 0.03, <0.01, 0.02, and <0.01 respectively). 【Conclusion】 Most medical staff in Shaanxi Province have misunderstandings about whether they need to disinfect before de-protection and how to disinfect the hospital environment. Moreover, we found that the awareness of medical staff in Shaanxi Province of hospital infection prevention and control during the epidemic of COVID-19 was affected by the hospital’s level, whether it was a designated hospital, whether there were sensor control supervisors, as well as the age, specialty, professional title and work area of the medical staff.