1.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
2.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
3.Antimicrobial resistance profile of clinical isolates in hospitals across China:report from the CHINET Antimicrobial Resistance Surveillance Program,2023
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hua FANG ; Penghui ZHANG ; Bixia YU ; Ping GONG ; Haixia SHI ; Kaizhen WEN ; Yirong ZHANG ; Xiuli YANG ; Yiqin ZHAO ; Longfeng LIAO ; Jinhua WU ; Hongqin GU ; Lin JIANG ; Meifang HU ; Wen HE ; Jiao FENG ; Lingling YOU ; Dongmei WANG ; Dong'e WANG ; Yanyan LIU ; Yong AN ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Jianping WANG ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Cunshan KOU ; Shunhong XUE ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Xiaoyan ZENG ; Wen LI ; Yan GENG ; Zeshi LIU
Chinese Journal of Infection and Chemotherapy 2024;24(6):627-637
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0% were gram-positive and 71.0% were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6%,81.9% and 78.5%,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9% of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4% of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1% in the isolates from children and and 95.9% in the isolates from adults.The resistance rate to carbapenems was lower than 15.0% for most Enterobacterales species except for Klebsiella,22.5% and 23.6% of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6% to 10.0%.The resistance rate to imipenem and meropenem was 21.9% and 17.4% for Pseudomonas aeruginosa,respectively,and 67.5% and 68.1% for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.
4.Learning curve and feasibility study of percutaneous closure of patent foramen ovale guided solely by transthoracic echocardiography
Shihai TANG ; Yang ZHOU ; Lang LIU ; Fei ZHAO ; Bo ZHENG ; Jialin HE ; Jianpeng SHAO
Chinese Journal of Thoracic and Cardiovascular Surgery 2023;39(6):321-325
Objective:To study the learning curve of percutaneous patent foramen ovale (PFO) occlusion guided solely by transthoracic echocardiography (TTE), as well as the success rate and safety of the learning curve.Methods:To retrospectively analyze these patients with indications for PFO occlusion admitted in our department from April 2021 to April 2022, and obtained 100 samples the author's initial cases guided solely by TTE, including 25 men and 75 women, with a mean age of (48.22±10.44) years old.Analyze preoperative baseline data: gender, age, height, weight, body mass index, the tunnel length and size of the PFO measured by transesophageal echocardiography, the grade of contrast-transcranial doppler test, combined atrial septal aneurysm, etc.Operation time, success rate, and complications were analyzed in all patients.Results:With the accumulation of cases, the operation time gradually shortened, accumulated to about 50 cases, the operation time has significantly shortened ( P<0.05), and the learning curve was leveled off after 50 cases ( P<0.05), there was statistical difference.The comparison of the success rate and complication of cases within the learning curve and those after completing the learning curve was no statistical significance( P>0.05). Conclusion:The learning curve of percutaneousc closure of patent foramen ovale guided solely by TTE is long, requiring about 50 cases to complete the learning curve. The success rate and safety of the learning curve are high. This procedure is worth popularizing.
5.Evaluation of brain injury caused by stick type blunt instruments based on convolutional neural network and finite element method.
Haiyan LI ; Haifang LI ; Guanglong HE ; Wengang LIU ; Shihai CUI ; Lijuan HE ; Wenle LU ; Jianyu PAN ; Yiwu ZHOU
Journal of Biomedical Engineering 2022;39(2):276-284
The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and quantitative evaluation method was investigated to analyze the craniocerebral injury induced by blunt sticks based on convolutional neural network and finite element method. The velocity curve of stick struck and the maximum principal strain of brain tissue (cerebrum, corpus callosum, cerebellum and brainstem) from the finite element simulation were used as the input and output parameters of the convolutional neural network The convolutional neural network was trained and optimized by using the 10-fold cross-validation method. The Mean Absolute Error (MAE), Mean Square Error (MSE), and Goodness of Fit ( R 2) of the finally selected convolutional neural network model for the prediction of the maximum principal strain of the cerebrum were 0.084, 0.014, and 0.92, respectively. The predicted results of the maximum principal strain of the corpus callosum were 0.062, 0.007, 0.90, respectively. The predicted results of the maximum principal strain of the cerebellum and brainstem were 0.075, 0.011, and 0.94, respectively. These results show that the research and development of the deep convolutional neural network can quickly and accurately assess the local brain injury caused by the sticks blow, and have important application value for understanding the quantitative evaluation and the brain injury caused by the sticks struck. At the same time, this technology improves the computational efficiency and can provide a basis reference for transforming the current acceleration-based brain injury research into a focus on local brain injury research.
Brain
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Brain Injuries
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Computer Simulation
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Finite Element Analysis
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Humans
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Neural Networks, Computer
6.Liver injury caused by tofacitinib in a child with juvenile idiopathic arthritis
Yaqun XIONG ; Shihai ZHOU ; Xinghua XIAO ; Ping LUO
Adverse Drug Reactions Journal 2022;24(5):266-268
An 11-year-old boy received tofacitinib (oral 7.5 mg once daily) on the basis of methotrexate therapy (oral 10 mg once a week) due to poor control of juvenile idiopathic arthritis, and the symptoms were relieved. The boy′s liver function was normal before using tofacitinib. After more than 2 months of combined use of the 2 drugs, laboratory tests showed alanine aminotransferase (ALT) 178 U/L and aspartate aminotransferase (AST) 78 U/L. No intervention was given because there were no clinical symptoms. His liver enzyme elevated significantly (ALT 586 U/L, AST 170 U/L) after continued medication for 1 month. After excluding viral hepatitis, autoimmune hepatitis, and other liver diseases, drug-induced liver injury was considered. Methotrexate was discontinued, tocilizumab was added, and liver protection therapy with reduced glutathione and magnesium isoglycyrrhizinate was given. Eleven days of methotrexate withdrawal, the laboratory tests showed ALT 512 U/L and AST 194 U/L. Then tofacitinib was discontinued and hepatic enzyme decreased significantly (ALT 150 U/L, AST 41 U/L) 3 days later. The liver injury was considered to be related to tofacitinib. The liver protection therapy was continued for 1 week, and the liver function examination showed ALT 41 U/L and AST 35 U/L.
7.Liver injury caused by tofacitinib in a child with juvenile idiopathic arthritis
Yaqun XIONG ; Shihai ZHOU ; Xinghua XIAO ; Ping LUO
Adverse Drug Reactions Journal 2022;24(5):266-268
An 11-year-old boy received tofacitinib (oral 7.5 mg once daily) on the basis of methotrexate therapy (oral 10 mg once a week) due to poor control of juvenile idiopathic arthritis, and the symptoms were relieved. The boy′s liver function was normal before using tofacitinib. After more than 2 months of combined use of the 2 drugs, laboratory tests showed alanine aminotransferase (ALT) 178 U/L and aspartate aminotransferase (AST) 78 U/L. No intervention was given because there were no clinical symptoms. His liver enzyme elevated significantly (ALT 586 U/L, AST 170 U/L) after continued medication for 1 month. After excluding viral hepatitis, autoimmune hepatitis, and other liver diseases, drug-induced liver injury was considered. Methotrexate was discontinued, tocilizumab was added, and liver protection therapy with reduced glutathione and magnesium isoglycyrrhizinate was given. Eleven days of methotrexate withdrawal, the laboratory tests showed ALT 512 U/L and AST 194 U/L. Then tofacitinib was discontinued and hepatic enzyme decreased significantly (ALT 150 U/L, AST 41 U/L) 3 days later. The liver injury was considered to be related to tofacitinib. The liver protection therapy was continued for 1 week, and the liver function examination showed ALT 41 U/L and AST 35 U/L.
8. Effects of oxymatrine on the expression and release of high mobility group box 1 in pancreatic acinar cells stimulated by hydrogen peroxide
Renli LI ; Xiaohui XIANG ; Zidong ZHOU ; Wencheng ZHANG ; Shihai XIA
Chinese Journal of Pancreatology 2020;20(1):27-32
Objective:
To observe the effects of oxymatrine(OM) on the expression and release of high mobility group box 1(HMGB1) in rat pancreatic acinar cell line AR42J stimulated by hydrogen peroxide.
Methods:
MTT method was used to detect the effects of H2O2 in different concentrations on the survival of AR42J cells. AR42J cells cultured
9.Influence of different kinds of valve types on clinical benefits of elderly patients with valvular heart disease
Fei ZHAO ; Yang ZHOU ; Shihai TANG ; Bo ZHENG ; Fan ZHANG ; Wei LIU ; Huali PENG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2020;27(07):762-765
Objective 聽 聽To investigate the influence of mechanical and biological valves on clinical benefits of elderly patients with valvular heart disease. Methods 聽 聽We retrospectively analyzed the clinical data of 280 elderly patients with valvular heart disease treated by valve replacement between 2008 and 2014 year. The patients were divided into two groups by tendency score matching including a group A with biological valves and a group B with mechanical valves. Finally, there were 96 patients in each group. There were 43 males and 53 females at age of 64.41卤6.52 years in the group A, 44 males and 52 females at age of 64.07卤6.20 years in the group B. Results 聽 聽The bleeding rate of skin and mucosa of the group B was significantly higher than that of the group A (P<0.05). There was no statistical difference in mortality within 30 days after operation, all-cause mortality, re-hospitalization rate, re-valve replacement rate, combined atrial flutter/atrial fibrillation ratio, drug use, incidence of cerebral infarction, cerebral hemorrhage, new peripheral vascular embolism and visceral hemorrhage, heart function (NYHA) classification, the cumulative survival rate of all the patients during follow-up (P=0.63), or the cumulative survival rate of the patients with no thrombus/hemorrhage (P=0.75) between the two groups (P>0.05). Conclusion 聽 聽Mechanical valve replacement and bioprosthetic valve replacement in the treatment of valvular heart disease in the elderly can achieve similar clinical benefits and both have clinical application value.
10.Efficacy of transthoracic device closure versus surgical closure on ventricular septal defects: A systematic review and meta-analysis
ZHOU Yang ; LIU Lingxi ; ZHAO Fei ; TANG Shihai ; PENG Huali ; XIAO Yingbin
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2018;25(1):36-44
Objective To compare the effects of transthoracic device closure and surgical closure on ventricular septal defect systemically. Methods A systematic literature search was conducted using the PubMed, EMbase, The Cochrane Library, VIP, CNKI, CBM, Chinese Clinical Trial Register, ClinicalTrials. gov and Wanfang Database up to July 31, 2016. Quality was assessed and data of included articles were extracted. The meta-analysis was conducted using RevMan 5.0 and Stata 14.0 software. Results Eleven studies were identified, including 5 RCTs and 6 cohort studies involving 2 504 patients. For success rate, there was no statistical difference between the transthoracic closure group and the surgical closure group in RCT (RR=0.99, 95%CI 0.96 to 1.03, P=0.70); the success rate in the transthoracic closure group was lower than that in the surgical closure group in the cohort study (OR=0.21, 95%CI 0.08 to 0.55, P=0.002). Both results of RCTs and cohort studies showed that compared with surgical closure, transthoracic device closure reduced duration of the operation (RCT MD=–79.38, 95%CI –95.00 to –63.76, P<0.000 01; cohort study MD=–66.26, 95%CI –71.20 to –61.31, P<0.000 01) and hospital stay (RCT MD=–2.10, 95%CI –2.65 to –1.55, P<0.000 01; cohort study MD=–3.99, 95%CI –6.03 to –1.94, P=0.000 1), and the patients with blood transfusion (RCT RR= 0.04, 95%CI 0.01 to 0.11, P<0.000 01; cohort study OR=0.01, 95%CI 0.00 to 0.13, P=0.001). In the transthoracic closure group the risk of postoperative arrhythmia reduced (RCT RR=0.20, 95%CI 0.13 to 0.32, P<0.000 01; cohort study OR=0.46, 95%CI 0.31 to 0.67, P<0.000 1). In the transthoracic closure group a higher postoperative valvular regurgitation risk in RCT induced (RR=1.45, 95%CI 1.07 to 1.96, P=0.02) and the rate of postoperative valvular regurgitation in cohort study reduced (OR=0.43, 95%CI 0.20 to 0.92, P=0.03). However, there was no statistical difference in postoperative residual shunt (RCT RR=0.96, 95%CI 0.57 to 1.62, P=0.89; cohort study OR=0.52, 95%CI 0.12 to 2.25, P=0.38). Conclusion Transthoracic device closure can shorten duration of the operation, hospital stay and reduce the patients with blood transfusion and post- and intraoperative arrhythmia risk. Therefore, transthoracic device closure may be a better approach for some ventricular septal defect patients.

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