1.Application of skin temperature monitoring in early warning of radiodermatitis risks during postoperative radiotherapy for female breast cancer
Yanhong ZHOU ; Wenhui GENG ; Mengmeng LI ; Yang GAO ; Lei LI ; Junpu YIN ; Zhikun LIU
Chinese Journal of Radiological Medicine and Protection 2024;44(2):127-132
		                        		
		                        			
		                        			Objective:To analyze the correlation between the skin temperature changes in the radiation area and the occurrence of radiodermatitis during postoperative radiotherapy for female breast cancer and to explore the application value of skin temperature monitoring in the early warning of radiodermatitis risks.Methods:A total of 103 patients who received three-dimensional conformal radiotherapy after radical mastectomy in the Fourth Hospital of Hebei Medical University were continuously enrolled from May to November, 2022 in this study. Their skin temperature in the radiation area and radiodermatitis were recorded weekly. The relationships between relative skin temperature differences and different grades of radiodermatitis were determined. The optimal cut-off values for grade ≥ radiodermatitis were calculated, and the predictive effect was evaluated using the receiver operating characteristic (ROC) curve. Furthermore, the radiodermatitis risks under different skin temperatures were compared using binary logistic regression.Results:There was a positive correlation between the skin temperature in the radiation field and the grade of radiodermatitis. The optimal cut-off values for the average relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), the maximum relative skin temperature difference of the chest wall (under 40 Gy/20 fractions), and the relative skin temperature difference of the supraclavicular block (under 30 Gy/15 fractions) were 0.45℃, 0.55℃, 0.15℃, respectively. The patients were divided into low- and high-risk groups based on the optimal cut-off values (0.45℃, 0.55℃, and 0.15℃). Binary logistic regression result showed that the risks of grade ≥ 2 radiodermatitis in the high-risk group were 5.71, 4.29, and 5.15 times those in the low-risk group, respectively ( OR = 5.71, 95% CI 1.81-17.99, P = 0.003; OR = 4.29, 95% CI 1.65-11.12, P = 0.003; OR = 5.15, 95% CI 2.16-12.31, P < 0.001). Conclusions:Skin temperature monitoring using medical infrared thermometers can be used to effectively predict the occurrence of grade ≥ 2 radiodermatitis. The skin temperature changes in the radiotherapy area should be closely observed. The risk of grade ≥ 2 radiodermatitis will increase when the mean and maximum relative temperature differences of the chest wall increase by 0.45℃ and 0.55℃, respectively under 40 Gy/20 fractions of radiotherapy or when the relative temperature differences of the supraclavicular block increases by 0.15℃ under 30 Gy/15 fractions of radiotherapy.
		                        		
		                        		
		                        		
		                        	
2.National bloodstream infection bacterial resistance surveillance report (2022) : Gram-negative bacteria
Zhiying LIU ; Yunbo CHEN ; Jinru JI ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(1):42-57
		                        		
		                        			
		                        			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.
		                        		
		                        		
		                        		
		                        	
3.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
		                        		
		                        			
		                        			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.
		                        		
		                        		
		                        		
		                        	
4.National bloodstream infection bacterial resistance surveillance report(2022): Gram-positive bacteria
Chaoqun YING ; Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Qing YANG ; Haishen KONG ; Haifeng MAO ; Hui DING ; Pengpeng TIAN ; Jiangqin SONG ; Yongyun LIU ; Jiliang WANG ; Yan JIN ; Yuanyuan DAI ; Yizheng ZHOU ; Yan GENG ; Fenghong CHEN ; Lu WANG ; Yanyan LI ; Dan LIU ; Peng ZHANG ; Junmin CAO ; Xiaoyan LI ; Dijing SONG ; Xinhua QIANG ; Yanhong LI ; Qiuying ZHANG ; Guolin LIAO ; Ying HUANG ; Baohua ZHANG ; Liang GUO ; Aiyun LI ; Haiquan KANG ; Donghong HUANG ; Sijin MAN ; Zhuo LI ; Youdong YIN ; Kunpeng LIANG ; Haixin DONG ; Donghua LIU ; Hongyun XU ; Yinqiao DONG ; Rong XU ; Lin ZHENG ; Shuyan HU ; Jian LI ; Qiang LIU ; Liang LUAN ; Jilu SHEN ; Lixia ZHANG ; Bo QUAN ; Xiaoping YAN ; Xiaoyan QI ; Dengyan QIAO ; Weiping LIU ; Xiusan XIA ; Ling MENG ; Jinhua LIANG ; Ping SHEN ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2024;17(2):99-112
		                        		
		                        			
		                        			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.
		                        		
		                        		
		                        		
		                        	
5.Epidural hydroxyethyl starch ameliorating postdural puncture headache after accidental dural puncture.
Yin ZHOU ; Zhiyu GENG ; Linlin SONG ; Dongxin WANG
Chinese Medical Journal 2023;136(1):88-95
		                        		
		                        			BACKGROUND:
		                        			No convincing modalities have been shown to completely prevent postdural puncture headache (PDPH) after accidental dural puncture (ADP) during obstetric epidural procedures. We aimed to evaluate the role of epidural administration of hydroxyethyl starch (HES) in preventing PDPH following ADP, regarding the prophylactic efficacy and side effects.
		                        		
		                        			METHODS:
		                        			Between January 2019 and February 2021, patients with a recognized ADP during epidural procedures for labor or cesarean delivery were retrospectively reviewed to evaluate the prophylactic strategies for the development of PDPH at a single tertiary hospital. The development of PDPH, severity and duration of headache, adverse events associated with prophylactic strategies, and hospital length of stay postpartum were reported.
		                        		
		                        			RESULTS:
		                        			A total of 105 patients experiencing ADP received a re-sited epidural catheter. For PDPH prophylaxis, 46 patients solely received epidural analgesia, 25 patients were administered epidural HES on epidural analgesia, and 34 patients received two doses of epidural HES on and after epidural analgesia, respectively. A significant difference was observed in the incidence of PDPH across the groups (epidural analgesia alone, 31 [67.4%]; HES-Epidural analgesia, ten [40.0%]; HES-Epidural analgesia-HES, five [14.7%]; P <0.001). No neurologic deficits, including paresthesias and motor deficits related to prophylactic strategies, were reported from at least 2 months to up to more than 2 years after delivery. An overall backache rate related to HES administration was 10%. The multivariable regression analysis revealed that the HES-Epidural analgesia-HES strategy was significantly associated with reduced risk of PDPH following ADP (OR = 0.030, 95% confidence interval: 0.006-0.143; P < 0.001).
		                        		
		                        			CONCLUSIONS
		                        			The incorporated prophylactic strategy was associated with a great decrease in the risk of PDPH following obstetric ADP. This strategy consisted of re-siting an epidural catheter with continuous epidural analgesia and two doses of epidural HES, respectively, on and after epidural analgesia. The efficacy and safety profiles of this strategy have to be investigated further.
		                        		
		                        		
		                        		
		                        			Pregnancy
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Post-Dural Puncture Headache/epidemiology*
		                        			;
		                        		
		                        			Anesthesia, Obstetrical/adverse effects*
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Punctures
		                        			;
		                        		
		                        			Starch
		                        			;
		                        		
		                        			Blood Patch, Epidural
		                        			
		                        		
		                        	
6.Clinical significance and risk factors of redundant nerve root in patients with lumbar spinal stenosis.
Zhong-Xuan WU ; Liang XIAO ; Quan-Lai ZHAO ; Chen LIU ; Hong-Zhou SUN ; Yin GENG ; Yu-Jian JIANG
China Journal of Orthopaedics and Traumatology 2023;36(9):890-895
		                        		
		                        			OBJECTIVE:
		                        			To investigate the clinical significance and screen the risk factors of redundant nerve roots(RNRs) in patients with lumbar spinal stenosis.
		                        		
		                        			METHODS:
		                        			The clinical data of 196 patients with lumbar spinal stenosis in the department of Spinal Surgery, Yijishan Hospital, Wannan Medical College from April 1, 2015 to November 30, 2020 were retrospectively analyzed. All patients were divided into RNRs positive group and RNRs negative group according to the presence of RNRs. The differences in general clinical data, imaging parameters, visual analogue scale(VAS), Oswestry disability index(ODI), and other indicators between the two groups were compared. The risk factors which are highly correlated with RNRs were screened by binary Logistic regression analysis.
		                        		
		                        			RESULTS:
		                        			There were 59 cases in the RNRs positive group, with an occurrence rate of 29.95% (59/137), and 137 cases in the RNRs negative group. The incidence rate of RNRs in 196 patients with lumbar spinal stenosis was 30.10% (59/196). VAS and ODI scores of patients in the two groups were statistically significant (P<0.05), and clinical symptoms of patients in the RNRs positive group were more severe than those in the RNRs negative group. There were significant differences in age, number of stenosis segments, average area of lumbar dural sac, area of the narrowest segment and the narrowest segment(P<0.05). Binary logistic regression analysis showed that the number of stenosis segments, the average median sagittal diameter of spinal canal, and the average area of dural sac in lumbar intervertebral space were correlated with the generation of RNRs (P<0.05). The regression coefficient of the number of stenosis segments was -1.115, the regression coefficient of the median sagittal diameter of the spinal canal was -1.707, and the regression coefficient of the mean dural sac area of the lumbar intervertebral space was 7.556.
		                        		
		                        			CONCLUSION
		                        			The clinical symptoms of patients with lumbar spinal stenosis accompanied by RNRs are more severe than those without them. The number of narrow segments, median sagittal diameter of the spinal canal, and the area of the lumbar intervertebral dural sac are the high-risk factors for RNRs, with the area of the lumbar intervertebral dural sac has the highest correlation.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Spinal Stenosis/surgery*
		                        			;
		                        		
		                        			Constriction, Pathologic
		                        			;
		                        		
		                        			Clinical Relevance
		                        			;
		                        		
		                        			Retrospective Studies
		                        			;
		                        		
		                        			Risk Factors
		                        			
		                        		
		                        	
7.Investigation on the current situation of the development of intensive care units in Inner Mongolia Autonomous Region in 2022.
Chendong MA ; Lihua ZHOU ; Fei YANG ; Bin LI ; Caixia LI ; Aili YU ; Liankui WU ; Haibo YIN ; Junyan WANG ; Lixia GENG ; Xiulian WANG ; Jun ZHANG ; Na ZHUO ; Kaiquan WANG ; Yun SU ; Fei WANG ; Yujun LI ; Lipeng ZHANG
Chinese Critical Care Medicine 2023;35(9):984-990
		                        		
		                        			OBJECTIVE:
		                        			To investigate the development present situation of the department of critical care medicine in Inner Mongolia Autonomous Region (hereinafter referred to as Inner Mongolia), in order to promote the standardized and homogeneous development of critical care medicine in Inner Mongolia, and also provide a reference for discipline construction and resource allocation.
		                        		
		                        			METHODS:
		                        			A survey study was conducted in comprehensive intensive care unit (ICU) of tertiary and secondary hospitals in Inner Mongolia by online questionnaire survey and telephone data verification. The questionnaire was based on the Guidelines for the Construction and Management of Intensive Care Units (Trial) (hereinafter referred to as the Guidelines) issued by the National Health Commission in 2009 and the development trend of the discipline. The questionnaire covered six aspects, including hospital basic information, ICU basic information, personnel allocation, medical quality management, technical skill and equipment configuration. The questionnaire was distributed in September 2022, and it was filled out by the discipline leaders or department heads of each hospital.
		                        		
		                        			RESULTS:
		                        			As of October 24, 2022, a total of 101 questionnaires had been distributed, 85 questionnaires had been recovered, and the questionnaire recovery rate had reached 84.16%, of which 71 valid questionnaires had been collected in a total of 71 comprehensive ICU. (1) There were noticeable regional differences in the distribution of comprehensive ICU in Inner Mongolia, with a relatively weak distribution in the east and west, and the overall distribution was uneven. The development of critical care medicine in Inner Mongolia was still lacking. (2) Basic information of hospitals: the population and economy restricted the development of ICU. The average number of comprehensive ICU beds in the western region was only half of that in the central region (beds: 39.0 vs. 86.0), and the average number of ICU beds in the eastern region was in the middle (83.6 beds), which was relatively uneven. (3) Basic information of ICU: among the 71 comprehensive ICU surveyed, there were 44 tertiary hospitals and 27 secondary hospitals. The ratio of ICU beds to total beds in tertiary hospitals was significantly lower than that in secondary hospitals [(1.59±0.81)% vs. (2.11±1.07)%, P < 0.05], which were significantly lower than the requirements of the Guidelines of 2%-8%. The utilization rate of ICU in tertiary and secondary hospitals [(63.63±22.40)% and (44.65±20.66)%, P < 0.01] were both lower than the bed utilization rate required by the Guidelines (75% should be appropriate). (4) Staffing of ICU: there were 376 doctors and 1 117 nurses in tertiary hospitals, while secondary hospitals had 122 doctors and 331 nurses. There were significant differences in the composition ratio of the titles of doctors, the degree of doctors, and the titles of nurses between tertiary and secondary hospitals (all P < 0.05). Most of the doctors in tertiary hospitals had intermediate titles (attending physicians accounted for 41.49%), while most of the doctors in secondary hospitals had junior titles (resident physicians accounted for 43.44%). The education level of doctors in tertiary hospitals was generally higher than that in secondary hospitals (doctors: 2.13% vs. 0, masters: 37.24% vs. 8.20%). The proportion of nurses in tertiary hospitals was significantly lower than that in secondary hospitals (17.01% vs. 24.47%). The ratio of ICU doctors/ICU beds [(0.64±0.27)%, (0.59±0.34)%] and ICU nurses/ICU beds [(1.76±0.56)%, (1.51±0.48)%] in tertiary and secondary hospitals all failed to meet the requirements above 0.8 : 1 and 3 : 1 of the Guidelines. (5) Medical quality management of ICU: compared with secondary hospitals, the proportion of one-to-one drug-resistant bacteria care in tertiary hospitals (65.91% vs. 40.74%), multimodal analgesia and sedation (90.91% vs. 66.67%), and personal digital assistant (PDA) barcode scanning (43.18% vs. 14.81%) were significantly higher (all P < 0.05). (6) Technical skills of ICU: in terms of technical skills, the proportion of bronchoscopy, blood purification, jejunal nutrition tube placement and bedside ultrasound projects carried out in tertiary hospitals were higher than those in secondary hospitals (84.09% vs. 48.15%, 88.64% vs. 48.15%, 61.36% vs. 55.56%, 88.64% vs. 70.37%, all P < 0.05). Among them, the placement of jejunal nutrition tube, bedside ultrasound and extracorporeal membrane oxygenation were mainly completed independently in tertiary hospitals, while those in secondary hospitals tended to be completed in cooperation. (7) Equipment configuration of ICU: in terms of basic equipment, the ratio of the total number of ventilators/ICU beds in tertiary and secondary hospitals [0.77% (0.53%, 1.07%), 0.88% (0.63%, 1.38%)], and the ratio of injection pump/ICU beds [1.70% (1.00%, 2.56%), 1.25% (0.75%, 1.88%)] didn't meet the requirements of the Guidelines. The equipment ratio was insuffcient, which means that the basic needs of development had not been met yet.
		                        		
		                        			CONCLUSIONS
		                        			The development of comprehensive ICU in Inner Mongolia has tended to mature, but there is still a certain gap in the development scale, personnel ratio and instruments and equipment compared with the Guidelines. Moreover, the comprehensive ICU appears the characteristics of relatively weak eastern and western regions, and the overall distribution is uneven. Therefore, it is necessary to increase efforts to invest in the construction of the department of critical care medicine.
		                        		
		                        		
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Intensive Care Units
		                        			;
		                        		
		                        			Critical Care
		                        			;
		                        		
		                        			Surveys and Questionnaires
		                        			;
		                        		
		                        			Tertiary Care Centers
		                        			;
		                        		
		                        			China
		                        			
		                        		
		                        	
8.BRICS report of 2021: The distribution and antimicrobial resistance profile of clinical bacterial isolates from blood stream infections in China
Yunbo CHEN ; Jinru JI ; Zhiying LIU ; Chaoqun YING ; Qing YANG ; Haishen KONG ; Jiliang WANG ; Hui DING ; Haifeng MAO ; Yizheng ZHOU ; Yan JIN ; Yongyun LIU ; Yan GENG ; Yuanyuan DAI ; Hong LU ; Peng ZHANG ; Ying HUANG ; Donghong HUANG ; Xinhua QIANG ; Jilu SHEN ; Hongyun XU ; Fenghong CHEN ; Guolin LIAO ; Dan LIU ; Haixin DONG ; Jiangqin SONG ; Lu WANG ; Junmin CAO ; Lixia ZHANG ; Yanhong LI ; Dijing SONG ; Zhuo LI ; Youdong YIN ; Donghua LIU ; Liang GUO ; Qiang LIU ; Baohua ZHANG ; Rong XU ; Yinqiao DONG ; Shuyan HU ; Kunpeng LIANG ; Bo QUAN ; Lin ZHENG ; Ling MENG ; Liang LUAN ; Jinhua LIANG ; Weiping LIU ; Xuefei HU ; Pengpeng TIAN ; Xiaoping YAN ; Aiyun LI ; Jian LI ; Xiusan XIA ; Xiaoyan QI ; Dengyan QIAO ; Yonghong XIAO
Chinese Journal of Clinical Infectious Diseases 2023;16(1):33-47
		                        		
		                        			
		                        			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.
		                        		
		                        		
		                        		
		                        	
9.Mortality trend of chronic respiratory diseases in China, 1990-2019.
Zheng LONG ; Wei LIU ; Jin Lei QI ; Yun Ning LIU ; Jiang Mei LIU ; Jin Ling YOU ; Lin LIN ; Li Jun WANG ; Mai Geng ZHOU ; Peng YIN
Chinese Journal of Epidemiology 2022;43(1):14-21
		                        		
		                        			
		                        			Objective: To analyze mortality and its trend of chronic respiratory diseases (CRD) in China from 1990 to 2019. Methods: Based on the provincial results of China from the 2019 Global Burden of Disease (GBD) study, the average annual percent change (AAPC) of standardized mortality rates of different CRDs were analyzed by using Joinpoint 4.8.0.1, and the age-standardized mortality rate of CRD was calculated by using the GBD 2019 world standard population. Based on the comparative risk assessment theory of GBD, the attributable deaths due to 12 CRD risk factors were estimated, including smoking, indoor air pollution, occupational gas exposure, particulates and smog exposure, environmental particulate pollution, low temperature, passive smoking, ozone pollution, occupational exposure to silica, occupational asthma, high body mass index, high temperature and occupational exposure to asbestos. Results: From 1990 to 2019, the number of deaths and standardized mortality of chronic obstructive pulmonary disease (COPD) showed a downward trend (P<0.001). The number of COPD deaths decreased from 1 244 000 (912 000 - 1 395 000) in 1990 to 1 037 000 (889 000 - 1 266 000) in 2019. AAPC=-0.9% (95%CI: -1.5% - -0.3%), P<0.001; The standardized mortality rate decreased from 217.9/100 000 (163.3/100 000 - 242.0/100 000) in 1990 to 65.2/100 000 (55.5/100 000 - 80.1/100 000) in 2019. AAPC= -4.2% (95%CI:-5.2% - -3.2%), P<0.001. The number of deaths from asthma decreased from 40 000 (30 000 - 58 000) in 1990 to 25 000 (20 000 - 31 000) in 2019. AAPC=-2.0% (95%CI: -2.6% - -1.4%), P<0.001; The standardized mortality rate of asthma decreased from 6.4/100 000 (4.7/100 000 - 9.5/100 000) in 1990 to 1.5/100 000 (1.2/100 000 - 1.9/100 000) in 2019. AAPC=-5.1% (95%CI: -5.8% - -4.4%), P<0.001. The number of pneumoconiosis deaths decreased from 11 000 (8 000 - 14 000) in 1990 to 10 000 (8 000 - 14 000) in 2019, AAPC=-0.2%(95%CI:-0.4% - 0.1%), P=0.200; The standardized mortality rate of pneumoconiosis decreased from 1.4/100 000 (1.0/100 000 - 1.7/100 000) in 1990 to 0.5/100 000 (0.4/100 000 - 0.7/100 000) in 2019. AAPC=-3.1% (95%CI: -3.4% - -2.8%), P<0.001. The number of deaths from pulmonary interstitial diseases and pulmonary sarcoidosis increased from 3 000 (3 000 - 6 000) in 1990 to 8 000 (6 000 - 10 000) in 2019, AAPC=3.5% (95%CI: 2.7% - 4.2%), P<0.001; The corresponding standardized mortality rate changed little from 1990 to 2019, and AAPC was not statistically significant.The age-standardized mortality rates of different CRDs were higher in men than those in women. In 1990 and 2019, the mortality rates of COPD, asthma, pneumoconiosis and interstitial pulmonary disease and pulmonary sarcoidosis increased with age. In 2019, the population attributable fractions (PAFs) for smoking, environmental particulate pollution, occupational gas exposure, particulate and smog exposure, low temperature exposure and passive smoking were 71.1% (68.0% - 74.3%), 24.7% (20.1% - 30.0%), 19.3% (13.0% - 25.4%), 15.7% (13.6% - 18.3%) and 8.8% (4.5% - 13.1%) respectively in men, and the PAFs for environmental particulate pollution, smoking, low temperature exposure, occupational gas exposure, particulate and smog exposure, and passive smoking were 24.1% (19.6% - 29.3%), 21.9% (18.7% - 25.2%), 16.4% (14.0% - 19.2%), 15.6% (10.2% - 21.1%) and 14.7% (7.9% - 21.3%) respectively in women. Conclusions: During 1990-2019, the overall death level of CRD decreased significantly in China, but it is still at high level in the world. Active prevention and control measures should be taken to reduce the death level caused by CRD.
		                        		
		                        		
		                        		
		                        			Asthma
		                        			;
		                        		
		                        			China/epidemiology*
		                        			;
		                        		
		                        			Female
		                        			;
		                        		
		                        			Global Burden of Disease
		                        			;
		                        		
		                        			Humans
		                        			;
		                        		
		                        			Male
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		                        			Mortality
		                        			;
		                        		
		                        			Pulmonary Disease, Chronic Obstructive
		                        			;
		                        		
		                        			Quality-Adjusted Life Years
		                        			
		                        		
		                        	
10.Prediction of the onset time of acute stroke by deep learning based on DWI and FLAIR
Liang JIANG ; Leilei ZHOU ; Zhongping AI ; Yuchen CHEN ; Song'an SHANG ; Siyu WANG ; Huiyou CHEN ; Mengye SHI ; Wen GENG ; Xindao YIN
Chinese Journal of Radiology 2021;55(8):811-816
		                        		
		                        			
		                        			Objective:To evaluate the effect of deep learning based on DWI and fluid attenuated inversion recovery (FLAIR) to construct a prediction model of the onset time in acute stroke.Methods:A total of 324 cases of acute stroke with clear onset time, from January 2017 to May 2020 in Nanjing First Hospital, were retrospectively enrolled and analyzed. The patients were divided into a training set of 226 patients and a test set of 98 patients according to the complete randomization method using a 7∶3 ratio, and the patients were divided into ≤ 4.5 h and >4.5 h according to symptom onset time in each group. The acute infarction areas on DWI and the corresponding high signal area on FLAIR were manually outlined by physician. Using the InceptionV3 model as the basic model for image features extraction, the deep learning prediction model based on single sequence (DWI, FLAIR) and multi sequences (DWI+FLAIR) were established and verified. Then the area under curve (AUC), accuracy of human readings, single sequence model and multi sequence model in predicting the acute stroke onset time from imaging were compared.Results:DWI-FLAIR mismatch was found in 94 cases (94/207) of patients with symptom onset time from imaging ≤ 4.5 h, while in 28 cases (28/117) of patients with symptom onset time from imaging >4.5 h. ROC analysis showed that the AUC of DWI-FLAIR mismatch in predicting acute stroke onset time from imaging was 0.607, and the accuracy was 60.2%. The prediction model of deep learning based on single sequence showed that the AUC of FLAIR was 0.761 and the accuracy was 71.4%; the AUC of DWI was 0.836 and the accuracy was 81.6%. The AUC of predicting stroke onset time based on the multi-sequence (DWI+FLAIR) deep learning model was 0.852, which was significantly better than that of manual identification ( Z = 0.617, P = 0.002), FLAIR sequence deep learning model ( Z = 2.133, P = 0.006) and DWI sequence deep learning model ( Z = 1.846, P = 0.012). Conclusion:The deep learning model based on DWI and FLAIR is superior to human readings in predicting acute stroke onset time from imaging, which could provide guidance for intravenous thrombolytic therapy for acute stroke patients with unknown onset time.
		                        		
		                        		
		                        		
		                        	
            
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