1.Influencing factors of positive surgical margins after radical resection of prostate cancer.
Chang-Jie SHI ; Zhi-Jian REN ; Ying ZHANG ; Ding WU ; Bo FANG ; Xiu-Quan SHI ; Wen CHENG ; Dian FU ; Xiao-Feng XU
National Journal of Andrology 2025;31(4):328-332
OBJECTIVE:
To investigate the influencing factors of pathological positive surgical margins (PSM) after radical resection of prostate cancer.
METHODS:
The clinical data of 407 patients who underwent radical resection of prostate cancer in our hospital from 2011 to 2020 were retrospectively analyzed. And the patients were divided into two groups according to postoperative pathological results. Single factor analysis was used to evaluate the differences in postoperative Gleason score, preoperative total prostate-specific antigen (tPSA), preoperative serum free prostate-specific antigen to preoperative tPSA ratio (fPSA/ tPSA), clinical stage, postoperative pathological stage, operation method, age, body mass index (BMI), diameter and volume of prostate tumor. Multivariate logistic regression was used to determine the independent risk factor of PSM.
RESULTS:
Among 407 patients with prostate cancer, 179 cases (43.98%) were positive. Univariate analysis showed that there were significant differences in postoperative Gleason score, preoperative tPSA, clinical stage and postoperative pathological stage between the two groups (P<0.05). And Gleason score, preoperative tPSA and pathologic stage were independent risk factors for PSM.
CONCLUSION
There are relationships between PSM and postoperative Gleason score, tPSA, clinical T stage, postoperative pathologic pT stage. Among them, postoperative Gleason score (Gleason=7 points, Gleason≥8 points), preoperative total prostate-specific antigen (tPSA > 20 μg/L), and postoperative pathologic pT stage (pT3a, pT3b) were independent risk factors for positive pathological margins of prostate cancer.
Margins of Excision
;
Prostatic Neoplasms/surgery*
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Prostatectomy/statistics & numerical data*
;
Prostate/surgery*
;
Retrospective Studies
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Neoplasm Grading/statistics & numerical data*
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Prostate-Specific Antigen/blood*
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Neoplasm Staging/statistics & numerical data*
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Postoperative Period
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Risk Factors
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Humans
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Male
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.Detecting Ketamine analogues in hair samples by QTRAP LC-MS/MS
Qiao YANG ; Facheng WU ; Xinyi SHEN ; Jian ZHANG ; Weiguang DING ; Bo WU
Chinese Journal of Forensic Medicine 2024;39(1):62-67
Objective To develop a method for the determination of ketamine analogues in hair samples by liquid chromatography quadrupole linear ion trap mass spectrometry(QTRAP LC-MS/MS).Methods 20 mg of washed and dried hair was added to 1 mL extracting solution and then prepared using an ultrasonic extraction with frozen pulverization method.After centrifugation and purification with membrane,the supernatant was separated in a ACQUITY UPLC? HSS T3 column with gradient elution,finally tested with multiple reaction monitoring for the detection of 10 ketamine analogues.The above method was applied for quantitative analysis of ethylfluamine,F-norketamine and tiletamine in 20 positive samples.Results When the concentration ranged from 0.01 to 2.00 ng/mg,there was good linearity for 10 ketamine analogues with the correlation coefficients over 0.99.The recoveries ranged from 89.1%to 106.1%,and the matrix effects were between 88.3%and 106.0%.Among the 20 positive samples,the contents of ethylfluamine,F-norketamine and tiletamine in hair ranged between 0.02~8.35 ng/mg,0.01~0.94 ng/mg and 0.02~10.93 ng/mg,respectively.Their mean values were 1.59 ng/mg,0.28 ng/mg and 2.69 ng/mg.Their medians were 0.40 ng/mg,0.19 ng/mg and 2.11 ng/mg.Conclusion The established method was simple,efficient,reliable and suitable for the determination of ketamine analogues in hair.The data provided reference for the drug control and forensic science practice.
4.Association between Residential Greenness and Cardiometabolic Risk Factors among Adults in Rural Xinjiang Uygur Autonomous Region,China:A Cross-Sectional Study
Jian LEYAO ; Yang BO ; Ma RULIN ; Guo SHUXIA ; He JIA ; Li YU ; Ding YUSONG ; Rui DONGSHENG ; Mao YIDAN ; He XIN ; Sun XUEYING ; Liao SHENGYU ; Guo HENG
Biomedical and Environmental Sciences 2024;37(10):1184-1194
Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region. Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors. Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation. Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.
5.Research progress in sialic acid-binding immunoglobulin-like lectins in bacterial infectious diseases
Yue-Yue HE ; Yue-Jie ZHU ; Yi-Chen FAN ; Zheng-Wei YIN ; Juan SHI ; Feng-Bo ZHANG ; Jian-Bing DING
Chinese Journal of Zoonoses 2024;40(8):790-795
Sialic acid-binding immunoglobulin-like lectins(Siglecs)are expressed on most white blood cells and play a key role in signal transduction of immune cells.Recent studies have shown that many bacterial pathogens regulate the host immune response through the interaction between sialic acid(Sia)and Siglecs,thereby influencing the occurrence and development of diseases.Understanding bacterial pathogenic mechanisms is essential to identify potential effective therapeutic targets and help manage bacterial infectious diseases.Herein,the structure,biological function,and research progress in Siglecs in bacterial in-fectious diseases are briefly reviewed.
6.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.
7.Expert Consensus on Replantation of Traumatic Amputation of Limbs in Children (2024)
Wenjun LI ; Shanlin CHEN ; Juyu TANG ; Panfeng WU ; Xiaoheng DING ; Zengtao WANG ; Xin WANG ; Liqiang GU ; Jun LI ; Yongqing XU ; Qingtang ZHU ; Yongjun RUI ; Bo LIU ; Jin ZHU ; Jian QI ; Xianyou ZHENG ; Xiaoju ZHENG ; Jianxi HOU
Chinese Journal of Microsurgery 2024;47(5):481-493
Replantation of traumatic amputation in children has its own characteristics. This consensus primarily focuses on the issues related to the treatment of traumatically amputated limb injuries in children. Organised along a timeline, the consensus summarises domestic and international clinical experiences in emergency care and injury assessment of traumatic limb amputation limbs, indications and contraindications for replantation surgery, principles and procedures of replantation surgery, postoperative medication and management, as well as rehabilitation in children. The aim of this consensus is to propose standardise the treatment protocols for limb replantation for children therefore to serve as a reference for clinical practitioners in medical practices, and further improve the treatment and care for the traumatic limb amputations in children.
8.Impact of COVID-19 epidemic on inventory of red blood cells in local and municipal blood stations in China
Weina CHEN ; Jianling ZHONG ; Yueping DING ; Weizhen LYU ; Jian ZHANG ; Lin BAO ; Feng YAN ; Li LI ; Dexu CHU ; Guanlin HU ; Ruijuan YANG ; Bo LI ; Xiaofeng ZHEN ; Youhua SHEN ; Wen ZHANG ; Jie YANG ; Wei ZHANG ; Yunfei LI ; Liang BAI ; Ning LI ; Yian LIANG ; Lili ZHU ; Qingsong YUAN ; Qingjie MA
Chinese Journal of Blood Transfusion 2023;36(10):903-906
【Objective】 To evaluate and analyze the impact of COVID-19 epidemic on inventory of red blood cells (RBCs)in local and municipal blood stations in China, and to provide reference for the management of public health emergencies. 【Methods】 Relevant data from 2018 to 2021 were collected, and the differences in the volume of qualified RBCs, the usage efficiency of inventory RBCs, the average daily distribution of RBCs,the blood distribution rate of RBCs prepared by 400 mL whole blood, the difference in the average storage days of RBCs at the time of distribution, the average daily inventory of RBCs and the time of the average daily inventory of RBCs to maintain the distribution in 24 local and municipal blood stations in China during the COVID-19 epidemic and non-epidemic periods were retrospectively analyzed. 【Results】 Compared with non-epidemic periods, the volume of qualified RBCs [(117 525.979 ±52 203.175)U] and the average daily distribution of RBCs [( 156. 468 ± 70. 186) U ] increased significantly, but the usage efficiency of inventory RBCs decreased(97.24%±0.51%) significantly (P<0.05).There was no significant difference in the blood distribution rate of RBCs prepared by 400 mL whole blood(73.88%±20.30%), the average storage days of RBCs distribution(13.040 ±3.486), the average daily stock quantity of RBCs[(2 280.542 ±1 446.538) U ] and the time of the average daily inventory of RBCs to maintain the distribution[(15.062 ±7.453) d] (P>0.5). 【Conclusion】 During the COVID-19 epidemic, the inventory management of RBCs operated well, the overall inventory remained relatively stable, the stock composition and storage period showed no significant change.
9.Influence of wind, cold and dampness on clinical manifestation of knee osteoarthritis patients based on the stratifications of traditional Chinese medicine constitution.
Ze-Cheng TAN ; Ding JIANG ; Qin-Guang XU ; Lin WANG ; Xue-Zong WANG ; Bo CHEN ; Jian PANG ; Hong-Sheng ZHAN ; Yue-Long CAO
China Journal of Orthopaedics and Traumatology 2023;36(12):1130-1135
OBJECTIVE:
To explore influence of external factors of wind, cold and dampness on clinical symptoms in knee osteoarthritis (KOA) patients with different constitutions of traditional Chinese medicine.
METHODS:
A cross-sectional stratified study was performed to select 108 patients with GradeⅡKOA in Kellgren & Lawrence (K-L) classification, including 22 males and 86 females, aged from 47 to 75 years old with an average of (60.7±6.0) years old;body mass index(BMI) ranged from 17.87 to 31.22 kg·m-2 with an average of (23.80±2.86) kg·m-2. According to Classification and Judgment of TCM Physique (ZYYXH/T157-2009), the types of TCM physique were determined and divided into 4 layers according to the deficiency and actual physique. Among them, there were 24 patients without biased physique, 12 males and 12 females, aged from 51 to 73 years old with an average of(62.8±6.0) years old, BMI ranged from 17.87 to 31.14 kg·m-2 with an average of (24.32±3.25) kg·m-2;there were 46 patients with virtual bias constitution, including 7 males and 39 females, aged from 47 to 70 years old with an average of (60.0±5.8) years old, BMI ranged from 19.38 to 31.22 kg·m-2 with an average of(23.42±2.97) kg·m-2;There were 26 patients with solid bias constitution, including 2 males and 24 females, aged from 48 to 75 years old with an average of (60.4±5.8) years old, BMI ranged from 21.16 to 30.76 kg·m-2 with an average of (24.15±2.33) kg·m-2;there were 9 patients with special constitution, 1 male and 8 female, aged from 53 to 75 years old with an average of (59.8±7.5) years old, BMI ranged from 19.26 to 26.67 kg·m-2 with an average of (23.79±2.49) kg·m-2. Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) was used to evaluate severity of clinical symptoms. The wind-cold-dampness external factor score was calculated through the questionnaire of wind-cold-dampness syndrome scale to evaluate degree of influence of wind-cold-dampness external factor. Pearson correlation analysis and partial correlation analysis were used to calculate the correlation coefficient between severity of external factors affecting wind, cold and dampness and severity of clinical symptoms in patients with different TCM constitution stratification.
RESULTS:
There was no statistical significance between total score of wind-cold-dampness and WOMAC score in patients with no biased constitution and special condition. Total wind-cold-dampness score of patients with virtual biased constitution was positively correlated with WOMAC stiffness score (r=0.327, P=0.032), and total wind-cold-dampness score of patients with solid biased constitution was positively correlated with WOMAC pain score (r=0.561, P=0.005) and WOMAC overall score (r=0.446, P=0.033). After further adjusting for the interaction of external factors of wind-cold-dampness, there was no statistical significance between wind-cold-dampness scores and WOMAC scores in patients with solid biased constitution. The score of dampness and pathogenic factors was positively correlated with WOMAC stiffness score (r=0.414, P=0.007).
CONCLUSION
The external factors of wind-cold dampness have different effects on the clinical symptoms of KOA patients with different TCM constitutions. Compared with other constitutions, the rigid symptoms of patients with asthenic biased constitutions are more susceptible to dampness pathogenic factors.
Aged
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Female
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Humans
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Male
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Middle Aged
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Cross-Sectional Studies
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Medicine, Chinese Traditional
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Osteoarthritis, Knee
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Syndrome
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Wind
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Cold Temperature
10.Contribution of Ambient Air Pollution on Risk Assessment of Type 2 Diabetes Mellitus via Explainable Machine Learning.
Zhong Ao DING ; Li Ying ZHANG ; Rui Ying LI ; Miao Miao NIU ; Bo ZHAO ; Xiao Kang DONG ; Xiao Tian LIU ; Jian HOU ; Zhen Xing MAO ; Chong Jian WANG
Biomedical and Environmental Sciences 2023;36(6):557-560

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