1.Advances in the internal fixation surgical approach for sacroiliac joint dislocation caused by posterior pelvic ring injury
Bo SUN ; Yuan-Kai GU ; Xiang-Qun YANG ; Liang-Yu ZHAO
Journal of Regional Anatomy and Operative Surgery 2024;33(1):89-93
Injury of the posterior pelvic ring can easily be caused by high-energy impact,and sacroiliac joint dislocation is the most common.The sacroiliac joint,as the hub of load transfer between the trunk and lower extremities,is essential to maintain the stability of the posterior pelvic ring,and once dislocation occurs,restoring the stability of the posterior pelvic ring by timely surgery is necessary.The current surgical approaches for the internal fixation of sacroiliac joint are mainly divided into anterior approach and posterior approach.The choice of the surgical approach directly affects the exposure of the surgical field,the stability of internal fixation and the prognosis of patients;therefore,it is particularly important to select the appropriate surgical approach and fixation method.In this paper,we briefly review the selection of sacroiliac joint fixation points,surgical approaches and postoperative complications.
2.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.
3.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.
4.Application of quality control indicator system in blood banks of Shandong
Qun LIU ; Yuqing WU ; Xuemei LI ; Zhongsi YANG ; Zhe SONG ; Zhiquan RONG ; Shuhong ZHAO ; Lin ZHU ; Xiaojuan FAN ; Shuli SUN ; Wei ZHANG ; Jinyu HAN ; Xuejing LI ; Bo ZHOU ; Chenxi YANG ; Haiyan HUANG ; Guangcai LIU ; Kai CHEN ; Xianwu AN ; Hui ZHANG ; Junxia REN ; Hui YE ; Mingming QIAO ; Hua SHEN ; Dunzhu GONGJUE ; Yunlong ZHUANG
Chinese Journal of Blood Transfusion 2024;37(3):267-274
【Objective】 To establish an effective quality monitoring indicator system for blood quality control in blood banks, in order to analyze the quality control indicators for blood collection and supply, and evaluate blood quality control process, thus promoting continuous improvement and standardizing management of blood quality control in blood banks. 【Methods】 A quality monitoring indicator system covering the whole process of blood collection and supply, including blood donation services, component preparation, blood testing, blood supply and quality control was established. The Questionnaire of Quality Monitoring Indicators for Blood Collection and Supply Process was distributed to 17 blood banks in Shandong, which clarified the definition and calculation formula of indicators. The quality monitoring indicator data from January to December 2022 in each blood bank were collected, and 20 quality control indicators data were analyzed by SPSS25.0 software. 【Results】 The average pass rate of key equipment monitoring, environment monitoring, key material monitoring, and blood testing item monitoring of 17 blood banks were 99.47%, 99.51%, 99.95% and 98.99%, respectively. Significant difference was noticed in the pass rate of environment monitoring among blood banks of varied scales(P<0.05), and the Pearson correlation coefficient (r) between the total number of blood quality testing items and the total amount of blood component preparation was 0.645 (P<0.05). The average discarding rates of blood testing or non-blood testing were 1.14% and 3.36% respectively, showing significant difference among blood banks of varied scales (P<0.05). The average discarding rate of lipemic blood was 3.07%, which had a positive correlation with the discarding rate of non testing (r=0.981 3, P<0.05). There was a statistically significant difference in the discarding rate of lipemic blood between blood banks with lipemic blood control measures and those without (P<0.05). The average discarding rate of abnormal color, non-standard volume, blood bag damage, hemolysis, blood protein precipitation and blood clotting were 0.20%, 0.14%, 0.06%, 0.06%, 0.02% and 0.02% respectively, showing statistically significant differences among large, medium and small blood banks(P<0.05).The average discarding rates of expired blood, other factors, confidential unit exclusion and unqualified samples were 0.02%, 0.05%, 0.003% and 0.004%, respectively. The discarding rate of blood with air bubbles was 0.015%, while that of blood with foreign body and unqualified label were 0. 【Conclusion】 The quality control indicator system of blood banks in Shandong can monitor weak points in process management, with good applicability, feasibility, and effectiveness. It is conducive to evaluate different blood banks, continuously improve the quality control level of blood collection and supply, promote the homogenization and standardization of blood quality management, and lay the foundation for comprehensive evaluation of blood banks in Shandong.
6.A 14-year multi-institutional collaborative study of Chinese pelvic floor surgical procedures related to pelvic organ prolapse.
Zhi-Jing SUN ; Xiu-Qi WANG ; Jing-He LANG ; Tao XU ; Yong-Xian LU ; Ke-Qin HUA ; Jin-Song HAN ; Huai-Fang LI ; Xiao-Wen TONG ; Ping WANG ; Jian-Liu WANG ; Xin YANG ; Xiang-Hua HUANG ; Pei-Shu LIU ; Yan-Feng SONG ; Hang-Mei JIN ; Jing-Yan XIE ; Lu-Wen WANG ; Qing-Kai WU ; Jian GONG ; Yan WANG ; Li-Qun WANG ; Zhao-Ai LI ; Hui-Cheng XU ; Zhi-Jun XIA ; Li-Na GU ; Qing LIU ; Lan ZHU
Chinese Medical Journal 2021;134(2):200-205
BACKGROUND:
It has been a global trend that increasing complications related to pelvic floor surgeries have been reported over time. The current study aimed to outline the development of Chinese pelvic floor surgeries related to pelvic organ prolapse (POP) over the past 14 years and investigate the potential influence of enhanced monitoring conducted by the Chinese Association of Urogynecology since 2011.
METHODS:
A total of 44,594 women with POP who underwent pelvic floor surgeries between October 1, 2004 and September 30, 2018 were included from 22 tertiary academic medical centers. The data were reported voluntarily and obtained from a database. We compared the proportion of each procedure in the 7 years before and 7 years after September 30, 2011. The data were analyzed by performing Z test (one-sided).
RESULTS:
The number of different procedures during October 1, 2011-September 30, 2018 was more than twice that during October 1, 2004-September 30, 2011. Regarding pelvic floor surgeries related to POP, the rate of synthetic mesh procedures increased from 38.1% (5298/13,906) during October 1, 2004-September 30, 2011 to 46.0% (14,107/30,688) during October 1, 2011-September 30, 2018, whereas the rate of non-mesh procedures decreased from 61.9% (8608/13,906) to 54.0% (16,581/30,688) (Z = 15.53, P < 0.001). Regarding synthetic mesh surgeries related to POP, the rates of transvaginal placement of surgical mesh (TVM) procedures decreased from 94.1% (4983/5298) to 82.2% (11,603/14,107) (Z = 20.79, P < 0.001), but the rate of laparoscopic sacrocolpopexy (LSC) procedures increased from 5.9% (315/5298) to 17.8% (2504/14,107).
CONCLUSIONS:
The rate of synthetic mesh procedures increased while that of non-mesh procedures decreased significantly. The rate of TVM procedures decreased while the rate of LSC procedures increased significantly.
TRIAL REGISTRATION NUMBER
NCT03620565, https://register.clinicaltrials.gov.
China
;
Female
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Gynecologic Surgical Procedures/adverse effects*
;
Humans
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Pelvic Floor/surgery*
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Pelvic Organ Prolapse/surgery*
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Surgical Mesh/adverse effects*
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Treatment Outcome
;
Vagina
7.Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China.
Yan MA ; Dong Shan ZHU ; Ren Bo CHEN ; Nan Nan SHI ; Si Hong LIU ; Yi Pin FAN ; Gui Hui WU ; Pu Ye YANG ; Jiang Feng BAI ; Hong CHEN ; Li Ying CHEN ; Qiao FENG ; Tuan Mao GUO ; Yong HOU ; Gui Fen HU ; Xiao Mei HU ; Yun Hong HU ; Jin HUANG ; Qiu Hua HUANG ; Shao Zhen HUANG ; Liang JI ; Hai Hao JIN ; Xiao LEI ; Chun Yan LI ; Min Qing LI ; Qun Tang LI ; Xian Yong LI ; Hong De LIU ; Jin Ping LIU ; Zhang LIU ; Yu Ting MA ; Ya MAO ; Liu Fen MO ; Hui NA ; Jing Wei WANG ; Fang Li SONG ; Sheng SUN ; Dong Ting WANG ; Ming Xuan WANG ; Xiao Yan WANG ; Yin Zhen WANG ; Yu Dong WANG ; Wei WU ; Lan Ping WU ; Yan Hua XIAO ; Hai Jun XIE ; Hong Ming XU ; Shou Fang XU ; Rui Xia XUE ; Chun YANG ; Kai Jun YANG ; Sheng Li YUAN ; Gong Qi ZHANG ; Jin Bo ZHANG ; Lin Song ZHANG ; Shu Sen ZHAO ; Wan Ying ZHAO ; Kai ZHENG ; Ying Chun ZHOU ; Jun Teng ZHU ; Tian Qing ZHU ; Hua Min ZHANG ; Yan Ping WANG ; Yong Yan WANG
Biomedical and Environmental Sciences 2020;33(12):893-905
Objective:
Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear.
Methods:
A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio (
Results:
Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks.
Conclusion
Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult
;
Aged
;
COVID-19/virology*
;
China/epidemiology*
;
Comorbidity
;
Female
;
Humans
;
Male
;
Middle Aged
;
Retrospective Studies
;
Severity of Illness Index
;
Treatment Outcome
8.Clinical analysis of cytomegalovirus infection after haplotype hematopoietic stem cell transplantation in children.
Hong Yu SHI ; Yi Fei CHENG ; Xiao Jun HUANG ; Yu WANG ; Pan SUO ; Lan Ping XU ; Kai Yan LIU ; Xiao Hui ZHANG ; Chen Hua YAN ; Feng Rong WANG ; Yu Qian SUN ; Shen ZHANG ; Jun KONG ; Yan Qun GAO ; Yun Xue XIE
Chinese Journal of Hematology 2019;40(5):426-428
9.Clinical analysis of hemorrhagic cystitis in children and adolescents with hematological diseases post haplo-hematopoietic stem cell transplantation.
Yun Xia XIE ; Yu WANG ; Xiao Jun HUANG ; Lan Ping XU ; Xiao Hui ZHANG ; Kai Yan LIU ; Chen Hua YAN ; Feng Rong WANG ; Yu Qian SUN ; Jun KONG ; Yan Qun GAO ; Hong Yu SHI ; Duo Ping LIU ; Yi Fei CHENG
Chinese Journal of Hematology 2018;39(10):833-838
Objective: To investigate the incidence and clinical features to probe the risk factors of hemorrhagic cystitis (HC) in children and adolescents with hematological diseases post haplo-hematopoietic stem cell transplantation (haplo-HSCT) . Methods: Medical records of 62 children and 27 adolescents with hematological diseases treated with haplo-HSCT between 2015 and 2016 were analyzed. Results: Of 89 cases (56 boys and 33 girls) , 44 patients were diagnosed with ALL, 33 AML, 3 AHL and 9 MDS. HC occurred in 32 of the 89 patients with an incidence of 36%, including 6 with grade Ⅰ, 16 with grade Ⅱ, 8 with grade Ⅲ, 2 with grade Ⅳ HC, respectively. The median time of HC onset was 25 days (range 2-55 days) after haplo-HSCT with the median duration as 19 days (range 3-95 days) , all of them were cured. The incidence of HC was lower in the group of children than that in the group of adolescents (27.4% vs 55.6%, χ(2)=6.466, P<0.05) , and the incidence of HC was higher in the group of patients who were ≥5 years old than that in the group of patients who were <5 years old (0 vs 34%, χ(2)=4.043, P<0.05) . Conclusion: HC is one of common complications in children and adolescents with hematological diseases post haplo-HSCT, older age was associated with increased mortality.
Adolescent
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Child
;
Child, Preschool
;
Cystitis
;
Female
;
Hematologic Diseases
;
Hematopoietic Stem Cell Transplantation
;
Humans
;
Incidence
;
Male
;
Retrospective Studies
;
Risk Factors
10.CDH13 Genetic Polymorphisms, Adiponectin and Ischemic Stroke: a Chinese Family-based Sib-pair Study.
Li CHEN ; Ke Xin SUN ; Juan JUAN ; Kai FANG ; Kuo LIU ; Xue Yin WANG ; Ling WANG ; Chao YANG ; Xiao Qiang LIU ; Jing LI ; Xun TANG ; Yi Qun WU ; Xue Ying QIN ; Tao WU ; Da Fang CHEN ; Yong Hua HU
Biomedical and Environmental Sciences 2017;30(1):35-43
OBJECTIVETo understand the relationships between CDH13 (T-cadherin) genetic polymorphisms, adiponectin levels and ischemic stroke, and possible interactions between CDH13 polymorphisms and other risk factors.
METHODSWe recruited 342 Chinese ischemic stroke sib pairs. We genotyped rs4783244 and rs7193788 on CDH13 using time-of-flight mass spectrometry genotyping technology and measured total and high-molecular weight (HMW) adiponectin levels. We investigated associations between SNPs and ischemic stroke, and interactions between SNPs and other risk factors using multi-level mixed-effects regression model.
RESULTSIn individuals without ischemic stroke, CDH13 rs4783244 was associated with total adiponectin levels (per T: Coef = -0.257, P = 0.001). CDH13 rs7193788 was associated with total adiponectin levels (per A: Coef = -0.221, P = 0.001) and HMW adiponectin levels (per A: Coef = -0.163, P = 0.003). rs7193788 was significantly associated with ischemic stroke (GA/AA vs. GG: OR = 1.55, 95% CI: 1.07 to 2.24, P = 0.020) after Bonferroni correction (α = 0.025). There was an interaction between rs7193788 and diabetes (P = 0.036). Compared to diabetes-free individuals with rs7193788 GG genotype, diabetes patients with rs7193788 GA/AA genotypes had higher risks for ischemic stroke (OR = 2.64, 95% CI: 1.58-4.40, P < 0.001).
CONCLUSIONCDH13 genetic polymorphisms are associated with adiponectin levels and ischemic stroke. An interaction is found between CDH13 SNP and diabetes for ischemic stroke.
Adiponectin ; blood ; Aged ; Brain Ischemia ; blood ; genetics ; Cadherins ; genetics ; China ; Female ; Humans ; Male ; Middle Aged ; Polymorphism, Genetic ; Risk Factors ; Stroke ; blood ; genetics

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