1.Research progress in machine learning in processing and quality evaluation of traditional Chinese medicine decoction pieces.
Han-Wen ZHANG ; Yue-E LI ; Jia-Wei YU ; Qiang GUO ; Ming-Xuan LI ; Yu LI ; Xi MEI ; Lin LI ; Lian-Lin SU ; Chun-Qin MAO ; De JI ; Tu-Lin LU
China Journal of Chinese Materia Medica 2025;50(13):3605-3614
Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning
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Drugs, Chinese Herbal/standards*
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Quality Control
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Medicine, Chinese Traditional/standards*
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Humans
2.Inferring Mycobacterium Tuberculosis Drug Resistance and Transmission using Whole-genome Sequencing in a High TB-burden Setting in China
Feng Yu FAN ; Xin Dong LIU ; Wang Yi CHEN ; Chao Xi OU ; Zhi Qi MAO ; Ting Ting YANG ; Jiang Xi WANG ; Cong Wen HE ; Bing ZHAO ; Jiang Zhen LIU ; Maiweilanjiang ABULIMITI ; Maimaitiaili AIHEMUTI ; Qian GAO ; Lin Yan ZHAO
Biomedical and Environmental Sciences 2024;37(2):157-169
Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.
3.Iodine Nutrition,Thyroid-stimulating Hormone,and Related Factors of Postpartum Women from three Different Areas in China:A Cross-sectional Survey
Yun Xiao SHAN ; Yan ZOU ; Chun Li HUANG ; Shan JIANG ; Wen Wei ZHOU ; Lan Qiu QIN ; Qing Chang LIU ; Yan Xiao LUO ; Xi Jia LU ; Qian De MAO ; Min LI ; Yu Zhen YANG ; Chen Li YANG
Biomedical and Environmental Sciences 2024;37(3):254-265
Objective Studies on the relationship between iodine,vitamin A(VA),and vitamin D(VD)and thyroid function are limited.This study aimed to analyze iodine and thyroid-stimulating hormone(TSH)status and their possible relationships with VA,VD,and other factors in postpartum women. Methods A total of 1,311 mothers(896 lactating and 415 non-lactating)from Hebei,Zhejiang,and Guangxi provinces were included in this study.The urinary iodine concentration(UIC),TSH,VA,and VD were measured. Results The median UIC of total and lactating participants were 142.00 μg/L and 139.95 μg/L,respectively.The median TSH,VA,and VD levels in all the participants were 1.89 mIU/L,0.44 μg/mL,and 24.04 ng/mL,respectively.No differences in the UIC were found between lactating and non-lactating mothers.UIC and TSH levels were significantly different among the three provinces.The rural UIC was higher than the urban UIC.Obese mothers had a higher UIC and a higher prevalence of excessive TSH.Higher UICs and TSHs levels were observed in both the VD deficiency and insufficiency groups than in the VD-sufficient group.After adjustment,no linear correlation was observed between UIC and VA/VD.No interaction was found between vitamins A/D and UIC on TSH levels. Conclusion The mothers in the present study had no iodine deficiency.Region,area type,BMI,and VD may be related to the iodine status or TSH levels.
4.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.
5.Analysis of risk factors for postoperative delirium in elderly patients undergoing spinal surgery
Wei-Ping ZHANG ; Wen-Xi CHANG ; Wei-Yi LIU ; Zhen-Jun LI ; Jian-Wei MAO
China Journal of Orthopaedics and Traumatology 2024;37(7):700-705
Objective To investigate the risk factors of postoperative delirium in elderly patients undergoing spine surgery.Methods The basic case data of 566 patients who underwent spine surgery under general anesthesia from January 2021 to Jan-uary 2023 were retrospectively analyzed.There were 296 males and 270 females with an average age of(71.58±4.21)years old.There were 195 cases of cervical spine surgery,26 cases of thoracic spine surgery and 345 cases of lumbar spine surgery.According to the occurrence of postoperative delirium,the patients were divided into postoperative delirium group(41 patients)and non-delirium group(525 patients).Univariate analysis was used to analyze the possible influencing factors such as gen-der,age,weight,smoking history,drinking history,surgical site,preoperative anxiety,intraoperative hypotension times,blood loss and so on,and binary Logistic regression was used to analyze the univariate factors with P<0.05.Results A total of 41 pa-tients developed postoperative delirium.Univariate analysis showed that age(P=0.000),duration of surgery(P=0.039),preop-erative anxiety(P=0.001),blood loss(P=0.000),history of opioid use(P=0.003),history of stroke(P=0.005),C-reactive protein(P=0.000),sodium ion(P=0.000)were significantly different between delirium group and non-delirium group.These factors were included in the binary Logistic regression analysis,and the results showed that age[OR=0.729,95%CI(0.569,0.932),P=0.012],opioid use[OR=21.500,95%CI(1.334,346.508),P=0.031],blood loss[OR=0.932,95%CI(0.875,0.993),P=0.029],C-reactive protein[OR=0.657,95%CI(0.485,0.890),P=0.007],preoperative anxiety[OR=23.143,95%CI(1.859,288.090),P=0.015],and sodium[OR=1.228,95%CI(1.032,1.461),P=0.020]were independent risk factors for the development of delirium after spinal surgery in elderly patients.Conclusion Age,opioid use,blood loss,preoper-ative anxiety,elevated c-reactive protein,and hyponatremia are independent risk factors for the development of postoperative delirium in elderly patients undergoing spinal surgery.
6.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
7.The occurrence and influencing factors of vascular calcification in non-dialysis chronic kidney disease patients of stage 3-5
Miaorong XUE ; Wenjiao ZHU ; Zhiman LAI ; Shaozhen FENG ; Yan WANG ; Jianbo LI ; Jianwen YU ; Xi XIA ; Qiong WEN ; Xin WANG ; Xiao YANG ; Haiping MAO ; Xionghui CHEN ; Zhijian LI ; Fengxian HUANG ; Wei CHEN ; Shurong LI ; Qunying GUO
Chinese Journal of Nephrology 2024;40(6):431-441
Objective:To explore the prevalence and independent associated factors of vascular calcification (VC) in non-dialysis chronic kidney disease (CKD) patients of stage 3-5.Methods:It was a single-center cross-sectional observational study. Non-dialysis stage 3-5 CKD patients ≥18 years old who were admitted to the Department of Nephrology, the First Affiliated Hospital of Sun Yat-sen University from May 1, 2022 to December 31, 2022 with VC evaluation were enrolled. The patients' general information, laboratory examination and imaging data were collected. Coronary artery calcification (CAC), thoracic aorta calcification (TAC), abdominal aorta calcification (AAC), carotid artery calcification and aortic valve calcification (AVC) were evaluated by cardiac-gated electron-beam CT (EBCT) scans, lateral lumbar x-ray, cervical macrovascular ultrasound and echocardiography, respectively. The differences in clinical data and the prevalence of VC at different sites of patients with different CKD stages were compared, and the prevalence of VC at different sites of patients in different age groups [youth group (18-44 years old), middle-aged group (45-64 years old) and elderly group (≥65 years old)] and patients with or without diabetes were compared. Multivariate logistic regression analysis was used to analyse the independent associated factors of VC for different areas.Results:A total of 206 patients aged (51±14) years were included, including 129 (62.6%) males. There were 44 patients with CKD stage 3 (21.4%), 51 patients with CKD stage 4 (24.8%), and 111 patients with CKD stage 5 (53.9%). CKD was caused by chronic glomerulonephritis [104 cases (50.5%)], diabetic kidney damage [35 cases (17.0%)], hypertensive kidney damage [29 cases (14.1%)] and others [38 cases (18.4%)]. Among 206 patients, 131 (63.6%) exhibited cardiovascular calcification, and the prevalence of CAC, TAC, AAC, carotid artery calcification, and AVC was 37.9%, 43.7%, 37.9%, 35.9% and 9.7%, respectively. The overall prevalence of VC in young, middle-aged and elderly patients was 24.6%, 73.6% and 97.4%, respectively. With the increase of age, the prevalence of VC in each site gradually increased, and the increasing trend was statistically significant (all P<0.001). The overall prevalence of VC in CKD patients with diabetes was 92.5% (62/67), and the prevalence of VC at each site in the patients with diabetes was significantly higher than that in the patients without diabetes (all P<0.001). Multivariate logistic regression analysis revealed that age (every 10 years increase, OR=2.51, 95% CI 1.77-3.56, P<0.001), hypertension ( OR=5.88, 95% CI 1.57-22.10, P=0.009), and diabetes ( OR=4.66, 95% CI 2.10-10.35, P<0.001) were independently correlated with CAC; Age (every 10 years increase, OR=6.43, 95% CI 3.64-11.36, P<0.001) and hypertension ( OR=6.09, 95% CI 1.33-27.84, P=0.020) were independently correlated with TAC; Female ( OR=0.23, 95% CI 0.07-0.72, P=0.011), age (every 10 years increase, OR=3.90, 95% CI 2.42-6.29, P<0.001), diabetes ( OR=5.37, 95% CI 2.19-13.19, P<0.001) and serum magnesium ( OR=0.01,95% CI 0-0.35, P=0.014) were independently correlated with AAC. Moreover, age and diabetes were independently correlated with carotid artery calcification, AVC and overall VC Conclusions:The prevalence of VC in non-dialysis CKD patients of stage 3-5 is 63.59%, of which CAC reaches 37.9%, TAC is the most common one (43.7%), while AVC is the least one (9.7%). Age and diabetes are the independent associated factors for VC of all sites except TAC, while hypertension is an independent associated factor for both CAC and TAC.
8.Observation of the Curative Effect of the Dexamethasone Vitreous Cavity Implant for the Treatment of Irvine-Gass Syndrome.
Yu MAO ; Li Qin GAO ; Li Yun JIA ; Si Meng HOU ; Yuan Yuan XIAO ; Xi Wen JI ; Shuang WANG
Biomedical and Environmental Sciences 2023;36(8):725-731
OBJECTIVE:
To investigate the clinical efficacy of dexamethasone vitreous cavity implants (Ozurdex) for the treatment of macular edema (Irvine-Gass Syndrome) after cataract surgery.
METHOD:
Eight patients (eight eyes) with Irvine-Gass syndrome were enrolled for vitreous injections with Ozurdex. The patients included six men (six eyes) and two women (two eyes) with a mean age of 67.12 ± 11.92 years. Changes in the patients best-corrected visual acuity (BCVA), central macular thickness (CMT), and intraocular pressure were compared before and after treatment.
RESULT:
The mean visual acuity BCVA of the patients was 0.81 ± 0.26 before implantation, which improved to 0.20 ± 0.12, 0.13 ± 0.09, and 0.15 ± 0.13 at 2 weeks, 1 month, and 3 months after implantation, respectively ( P < 0.001). The patient's mean CMT before implantation was 703.00 ± 148.88 μm, and it reduced to 258.87 ± 37.40 μm, 236.25 ± 28.74 μm, and 278.00 ± 76.82 μm at 2 weeks, 1 month, and 3 months after implantation, respectively ( P < 0.001).
CONCLUSION
The dexamethasone vitreous cavity implant (Ozurdex) is a safe and effective treatment, which can effectively improve patient's visual acuity and reduce macular edema associated with cataract surgery.
Male
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Humans
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Female
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Middle Aged
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Aged
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Macular Edema/etiology*
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Dexamethasone/therapeutic use*
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Intraocular Pressure
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Prostheses and Implants
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Cataract
9.Antimicrobial resistance of bacteria from pleural and peritoneal effusion:surveillance report from Hunan Provincial Antimicrobial Resistance Sys-tem,2012-2021
Yong-Xue TANG ; Si-Yu WANG ; Xiao-Bing XIE ; Li-Hua CHEN ; Chen-Chao FU ; Chen LI ; Yan-Ming LI ; Jun LIU ; Nan REN ; Guo-Min SHI ; Jing-Min WU ; Huai-De YANG ; Hong-Xia YUAN ; Ming ZHENG ; Xun HUANG ; An-Hua WU ; Xing-Wang NING ; Xi-Mao WEN
Chinese Journal of Infection Control 2023;22(12):1438-1451
Objective To understand the distribution and antimicrobial resistance changes of bacteria isolated from pleural and peritoneal effusion in Hunan Province,and provide reference for correct clinical diagnosis and rational antimicrobial use.Methods Data reported by member units of Hunan Provincial Antimicrobial Resistance Survei-llance System from 2012 to 2021 were collected.Bacteria antimicrobial resistance surveillance method was imple-mented according to technical scheme of China Antimicrobial Resistance Surveillance System(CARSS),and WHO-NET 5.6 software was used to analyze the data of bacteria isolated from pleural and peritoneal effusion as well as antimicrobial susceptibility testing results.Results From 2012 to 2021,a total of 28 934 bacterial strains were iso-lated from specimens of pleural and peritoneal effusions from member units of Hunan Provincial Antimicrobial Re-sistance Surveillance System,with 5 752 strains from pleural effusion and 23 182 from peritoneal effusion.The top five bacteria isolated from pleural effusion were Escherichia coli(n=907,15.8%),Staphylococcus aureus(n=535,9.3%),Klebsiella pneumoniae(n=369,6.4%),Staphylococcus epidermidis(n=452,7.9%),and Staphy-lococcus haemolyticus(n=285,5.0%).The detection rate of methicillin-resistant Staphylococcus aureus(MR-SA)from pleural effusion was 24.3%-39.2%,and that of methicillin-resistant coagulase negative Staphylococcus(MRCNS)was 58.8%-77.1%.The top five bacteria isolated from peritoneal effusion were Escherichia coli(n=8 264,35.6%),Klebsiella pneumoniae(n=2 074,9.0%),Enterococcus faecium(n=1 458,6.3%),Staphylo-coccus epidermidis(n=1 383,6.0%),and Pseudomonas aeruginosa(n=1 152,5.0%).The detection rate of MRSA from peritoneal effusion was 22.1%-52.4%,which presented a decreasing trend(P=0.004).The detec-tion rate of MRCNS was 60.4%-79.4%.The resistance rates of Enterobacterales from peritoneal effusion to ce-fazolin,cefuroxime,ceftriaxone and cefepime all showed decreasing trends(all P<0.05).Vancomycin-,linezo-lid-,and teicoplanin-resistant Staphylococcus strains were not found in pleural and peritoneal effusions.The resis-tance rates of Enterococcus faecium to most tested antimicrobial agents were higher than those of Enterococcus fae-calis.The resistance rates of Enterobacterales to imipenem and meropenem were ≤8.5%.The resistance rates of non-fermentative Gram-negative bacilli to imipenem and meropenem were ≤43.3%.Conclusion The data structure of Hunan Antimicrobial Resistance Surveillance System for pleural and peritoneal effusions from 2012 to 2021 is relatively complete.The constituent and antimicrobial susceptibility of isolated pathogenic bacteria vary in different years.
10.Preliminary clinical experience of the novel transcatheter aortic valve system Prizvalve® for the treatment of severe aortic stenosis.
Jia Fu WEI ; Hao Ran YANG ; Yong PENG ; Sen HE ; Yong CHEN ; Zhen Gang ZHAO ; Wei MENG ; Xuan ZHOU ; Yu Jia LIANG ; Wen Xia ZHOU ; Xin WEI ; Xi LI ; Fei CHEN ; Zhong Kai ZHU ; Yi ZHANG ; Jing Jing HE ; Mao CHEN ; Yuan FENG
Chinese Journal of Cardiology 2022;50(2):137-141
Objective: To evaluate the safety and efficacy of transcatheter aortic valve implantation (TAVI) with the novel Prizvalve® system in treating severe aortic stenosis. Methods: This is a single-center, prospective, single-arm, observational study. A total of 11 patients with severe aortic stenosis with high risk or inappropriate for conventional surgical aortic valve replacement (SAVR) were included, and TAVI was achieved with the Prizvalve® system between March 2021 and May 2021 in West China Hospital. Transthoracic echocardiography (TTE) was performed immediately after prosthesis implantation to evaluate mean transaortic gradient and maximal transaortic velocity. The device success rate was calculated, which was defined as (1) the device being delivered via the access, deployed, implanted and withdrawn, (2) mean transaortic gradient<20 mmHg (1 mmHg=0.133 kPa) or a maximal transaortic velocity<3 m/s post TAVI, and without severe aortic regurgitation or paravalvular leak post TAVI. TTE was performed at 30 days after the surgery, and all-cause mortality as well as the major cardiovascular adverse events (including acute myocardial infarction, disabling hemorrhagic or ischemic stroke) up to 30 days post TAVI were analyzed. Results: The age of 11 included patients were (78.1±6.3) years, with 8 males. A total of 10 patients were with NYHA functional class Ⅲ or Ⅳ. Devices were delivered via the access, deployed, implanted and withdrawn successfully in all patients. Post-implant mean transaortic gradient was (7.55±4.08) mmHg and maximal transaortic velocity was (1.78±0.44) m/s, and both decreased significantly as compared to baseline levels (both P<0.05). No severe aortic regurgitation or paravalvular leak was observed post TAVI. Device success was achieved in all the 11 patients. No patient died or experienced major cardiovascular adverse events up to 30 days post TAVI. Mean transaortic gradient was (9.45±5.07) mmHg and maximal transaortic velocity was (2.05±0.42) m/s at 30 days post TAVI, which were similar as the values measured immediately post TAVI (both P>0.05). Conclusions: TAVI with the Prizvalve® system is a feasible and relatively safe procedure for patients with severe aortic stenosis and at high risk or inappropriate for SAVR. Further clinical studies could be launched to obtain more clinical experience with Prizvalve® system.
Aged
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Aged, 80 and over
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Aortic Valve
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Aortic Valve Stenosis/surgery*
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Heart Valve Prosthesis
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Heart Valve Prosthesis Implantation
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Humans
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Male
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Prospective Studies
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Transcatheter Aortic Valve Replacement/methods*
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Treatment Outcome

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