1.Amplification effect of hearing mechanics in unilateral hearing loss.
Quanran LIN ; Kai FANG ; Wendi SHI ; Yuan WANG ; Shihua ZHA ; Yang LI ; Yonghua WANG ; Zhengnong CHEN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(3):239-242
Objective:To evaluate the effectiveness of amplification intervention with hearing aids for restoring binaural auditory function in patients with unilateral moderate to severe sensorineural hearing loss. Methods:This study selected 30 patients with normal hearing in one ear and moderate to severe sensorineural hearing loss in the other ear. They were fitted with hearing aids for the worse ear and underwent more than half a year and one year of adaptation training. The Chinese translation of the Twelve-item version of SSQ(C-SSQ12), angle identification test, speech recognition score(SRS) at different signal-to-noise ratios(SNR=5 and SNR=10) and audiometric thresholds were used to compare the results before and after hearing aid use to evaluate the effectiveness of the unilateral hearing loss intervention. Results:The results of the audiometric thresholds, C-SSQ12 scores, angle identification test, and SRS at SNR=5 and SNR=10 in the worse ear of the unilateral hearing loss patients after hearing aid use were all statistically significant compared to before hearing aid use(P<0.01). Conclusion:Amplification intervention with hearing aids has significant effects on restoring binaural auditory function in patients with unilateral moderate to severe sensorineural hearing loss.
Humans
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Hearing Aids
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Hearing Loss, Unilateral/therapy*
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Middle Aged
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Hearing Loss, Sensorineural/rehabilitation*
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Adult
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Female
;
Male
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Auditory Threshold
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Young Adult
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Aged
2.Expert consensus on prognostic evaluation of cochlear implantation in hereditary hearing loss.
Xinyu SHI ; Xianbao CAO ; Renjie CHAI ; Suijun CHEN ; Juan FENG ; Ningyu FENG ; Xia GAO ; Lulu GUO ; Yuhe LIU ; Ling LU ; Lingyun MEI ; Xiaoyun QIAN ; Dongdong REN ; Haibo SHI ; Duoduo TAO ; Qin WANG ; Zhaoyan WANG ; Shuo WANG ; Wei WANG ; Ming XIA ; Hao XIONG ; Baicheng XU ; Kai XU ; Lei XU ; Hua YANG ; Jun YANG ; Pingli YANG ; Wei YUAN ; Dingjun ZHA ; Chunming ZHANG ; Hongzheng ZHANG ; Juan ZHANG ; Tianhong ZHANG ; Wenqi ZUO ; Wenyan LI ; Yongyi YUAN ; Jie ZHANG ; Yu ZHAO ; Fang ZHENG ; Yu SUN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):798-808
Hearing loss is the most prevalent disabling disease. Cochlear implantation(CI) serves as the primary intervention for severe to profound hearing loss. This consensus systematically explores the value of genetic diagnosis in the pre-operative assessment and efficacy prognosis for CI. Drawing upon domestic and international research and clinical experience, it proposes an evidence-based medicine three-tiered prognostic classification system(Favorable, Marginal, Poor). The consensus focuses on common hereditary non-syndromic hearing loss(such as that caused by mutations in genes like GJB2, SLC26A4, OTOF, LOXHD1) and syndromic hereditary hearing loss(such as Jervell & Lange-Nielsen syndrome and Waardenburg syndrome), which are closely associated with congenital hearing loss, analyzing the impact of their pathological mechanisms on CI outcomes. The consensus provides recommendations based on multiple round of expert discussion and voting. It emphasizes that genetic diagnosis can optimize patient selection, predict prognosis, guide post-operative rehabilitation, offer stratified management strategies for patients with different genotypes, and advance the application of precision medicine in the field of CI.
Humans
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Cochlear Implantation
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Prognosis
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Hearing Loss/surgery*
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Consensus
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Connexin 26
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Mutation
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Sulfate Transporters
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Connexins/genetics*
3.Cloning and preliminary inquiry of AlWRKY65 from Atractylodes lancea
Feng-ya GUAN ; Wei-wei LIU ; Kai-wen CHI ; Kai-ling ZENG ; Jin XIE ; Liang-ping ZHA
Acta Pharmaceutica Sinica 2024;59(5):1494-1502
WRKY transcription factor is a type of transcription factor unique to plants and plays an important role in various physiological processes of plants. This study is based on the transcriptome data of
4.Accuracy and influencing factor of artificial intelligence planning system in patients undergoing total hip arthroplasty
Kai ZHANG ; Zhuotao GUO ; Qiaoqiao MA ; Guochun ZHA ; Kaijin GUO
Chinese Journal of Tissue Engineering Research 2024;28(12):1863-1868
BACKGROUND:Artificial intelligence planning system can automatically establish a three-dimensional model and generate planning schemes,but its accuracy in predicting the prosthesis size has not been fully verified. OBJECTIVE:To investigate the accuracy of artificial intelligence planning system in predicting prosthesis size before total hip arthroplasty and its influence on clinical prognosis,and further analyze the risk factors affecting the accuracy of planning. METHODS:Clinical data of patients with unilateral initial total hip arthroplasty who were admitted to the Department of Orthopedics of Affiliated Hospital of Xuzhou Medical University from January 2021 to June 2022 were prospectively collected.The patients were randomly divided into the artificial intelligence planning system group(n=80)and the conventional template group(n=79).Intraoperative use of prostheses and preoperative planning of prosthesis matching were compared between the two groups.Postoperative follow-up Harris scores and the occurrence of complications such as leg length discrepancy,dislocation and prosthesis loosening were recorded in both groups.The effects of demographic indicators,preoperative diagnosis,and Dorr typing on the accuracy of femoral stem planning were explored using univariate and multivariate Logistic regression analyses. RESULTS AND CONCLUSION:(1)The prediction of the prosthesis size on the acetabular side and femoral side was 50%(40/80)and 55%(44/80)in the artificial intelligence planning system group,compared to 34%(27/79)and 37%(29/79)in the conventional template group,with statistically significant differences(P<0.05).(2)The artificial intelligence planning system group had an accuracy rate within one size difference for the acetabular and femoral side prostheses of 91%(73/80)and 86%(69/80),compared to 82%(65/79)and 72%(58/79)in the conventional template group,with differences statistically different only on the femoral side(P<0.05).(3)No dislocation or prosthesis loosening occurred in the two groups during postoperative follow-up.The difference in lower limb length between the artificial intelligence planning system and conventional template groups was(3.56±2.32)mm and(3.52±2.41)mm.At the last follow-up,the Harris scores of the artificial intelligence planning system and conventional template groups were(92.74±3.08)and(91.81±3.52),respectively;there was no significant difference in the above differences(P>0.05).(4)Univariate analysis results showed that preoperative diagnosis as developmental dysplasia of the hip and osteonecrosis of the femoral head,and Dorr type B and C femurs had a significant effect on the accuracy of predicted prosthesis size using an artificial intelligence planning system(P<0.05).(5)Multivariate logistic regression analysis showed that preoperative diagnosis of developmental dysplasia of the hip(OR=18.233,95%CI:2.662-124.888)was an independent risk factor for the prediction of femoral stem size by artificial intelligence planning system.(6)The artificial intelligence planning system has a higher accuracy in predicting prosthetic size than traditional two-dimensional templates,and there is not a significant difference in the risk of postoperative complications or joint function.The accuracy of the artificial intelligence planning system in patients with developmental dysplasia of the hip was low due to anatomical deformities and acetabular anatomical position reconstruction.
5.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.
6.Does the homologous booster with the inactivated coronavirus disease 2019 vaccine work for the omicron variant? Real-world evidence from Jilin, China.
Jun GUO ; Lei ZHA ; Kai ZENG ; Mingyu SHAO ; Dan CHEN ; Bing WANG ; Yun ZHOU ; Gang YANG ; Xue ZHANG ; Xia ZOU ; Yan ZHANG ; Yan KANG
Chinese Medical Journal 2023;136(23):2892-2894
7.Pharmacokinetic study of Noiiglutide injection,INS068 injection and the compound preparation in Chinese healthy subjects
Xiao-Dong XING ; Ji-Gang ZHANG ; Kai SHEN ; Ming-Jian ZHANG ; Yi-Xin ZHA ; Shu-Jing JIN ; Mei XU ; Wen-Yuan XUE ; Xue-Ying DING
The Chinese Journal of Clinical Pharmacology 2023;39(23):3449-3454
Objective To compare the pharmaceutics and drug interactions of noiiglutide injection,INS068 injection,HR17031 Injection,and noiiglutide+INS068 injection in healthy subjects Methods This was a single center,randomized,open-label,4-cycle,4-cohort trial.Healthy subjects were allocated to 4 groups randomly.HR17031(17 U/0.04 mg),INS068(17 U),noliglycopeptide(0.04 mg),and INS068(17 U)combined with noiiglutide(0.04 mg)were injected subcutaneously into the abdomenon on day 1,8,15 and 22 respectively.Venous blood was collected at different timing before and after administration,and the concentrations of noiiglutide in plasma and INS068 in serum were measured by HPLC-MS/MS method.Relevant pharmacokinetic parameters were calculated using the WinNonlin non compartment model.Results In HR17031,INS068,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of INS068 in serum were calculated and listed as follows:Cmax were(19.50±4.06),(18.10±4.56)and(18.40±5.81)ng·mL-1,tmax was 12,10 and 8 h,t1/2 was(9.27±1.70),(11.00±2.81)and(11.0±3.18)h,AUC0-twere(505.00±62.20),(498.00±70.50)and(491.00±74.20)ng·mL-1·h.In HR17031,noiiglutide,and INS068 combined with noiiglutide groups,the main pharmacokinetic parameters of noiiglutide in plasma were calculated and listed as follows:Cmax were(3.61±0.82),(4.63±0.87)and(4.54±0.86)ng·mL-1,tmax was all 8.00 h,t1/2 was(10.50±1.61),(9.49±1.40)and(9.55±1.61)h,AUC0-twere(94.30±20.10),(106.00±20.20)and(105.00±19.00)ng·mL-1·h.Conclusion There was no significant difference in bioavailability of INS068 and noiiglutide in HR17031 compared with INS068 and noiiglutide whether combined or used alone.
8.The influence of meteorological factors on SARS-CoV-2 transmission: evidence from laboratory and epidemiological studies.
Yi Ran LYU ; Ya Fei GUO ; Kai Qiang XU ; Meng Ying ZHAI ; Na LI ; Xiao Chen WANG ; Rui Ting HAO ; Cheng DING ; Yu E ZHA ; Lan WEI ; Yue Yun LUO ; Jiao WANG
Chinese Journal of Preventive Medicine 2022;56(10):1467-1471
SARS-CoV-2 has infected more than 600 million people worldwide and caused more than 6 million deaths. The emerging novel variants have made the epidemic rebound in many places. Meteorological factors can affect the epidemic spread by changing virus activity, transmission dynamic parameters and host susceptibility. This paper systematically analyzed the currently available laboratory and epidemiological studies on the association between the meteorological factors and COVID-19 incidence, in order to provide scientific evidence for future epidemic control and prevention, as well as developing early warning system.
Humans
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SARS-CoV-2
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COVID-19
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Meteorological Concepts
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Laboratories
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Epidemiologic Studies
9.Molecular evolution of Culex flavivirus in Gansu province in 2011 and 2019
Bin LI ; Bing ZHA ; Shihong FU ; Xueping XU ; Sichao YING ; Kai NIE ; Xingzhou LI ; Huanyu WANG ; Guodong LIANG
Chinese Journal of Experimental and Clinical Virology 2022;36(2):183-188
Objective:To disclose the molecular genetic differences of Culex flavivirus among mosquitoes in Gansu province in 2011 and 2019.Methods:Reverse transcriptase-polymerase chain reaction (RT-PCR) was used to obtain the nucleotide sequences of Culex flavivirus genomes from mosquitoes in Gansu province in 2011 and 2019, and viral molecular biology and bioinformatics method were used to analyze the genetic differences of the viruses.Results:Nucleotide sequences of 10 strains of Culex flavivirus were obtained, including 8 strains (all from Culex pipiens pallens) obtained in 2011 and 2 strains ( from Culex tritaeniorhynchus and Anopheles sinensis) in 2019. Homology analysis of nucleotide and amino acid sequences of virus E gene showed that the nucleotide sequence similarity and amino acid similarity of viruses isolated from Gansu in 2019 and 2011 ranged from 98.3%-100% and 95.4%-97.3%, respectively. Phylogenetic analysis of Culex flavivirus E gene sequence showed that two strains of Culex flavivirus isolated in Gansu province in 2019 (GS1975 and GS1976) and eight strains of Culex flavivirus isolated in 2011 all belonged to group B of genotype 1 of Culex flavivirus. Further analysis found that GS1975 virus isolated in 2019 was in a common evolutionary cluster with viruses isolated from Liaoning (2010 and 2011) and Inner Mongolia (2018), while GS1976 virus isolated in 2019 formed a coevolutionary cluster with viruses isolated from Inner Mongolia (2018) and Gansu (2011). Conclusions:Although both Culex flaviviruses isolated in Gansu province in 2011 and 2019 are genotype 1 virus, the two viruses isolated in 2019 distributed in two different evolutionary clusters, suggesting that the local mosquito virus genome changes over time, therefore, long-term monitoring of molecular differences is needed to carry out.
10.Femoral revision of the hip: reason, type and different techniques
Shuo FENG ; Guo-Chun ZHA ; Kai-Jin GUO ; Xiang-Yang CHEN
Chinese Journal of Tissue Engineering Research 2018;22(15):2396-2406
BACKGROUND: Total hip arthroplasty has been widely used in clinical practice, and achieved good clinical efficacy. However, with the yearly increased number of patients receiving primary arthroplasty, the number of revision hip arthroplasty patients has increased. However, hip arthroplasty is one of the most difficult hip surgery, and it is challenging. OBJECTIVE: To review the causes of femoral revision of the hip arthroplasty, the classification of the femoral bone defect, and the type of prosthesis available in the clinical revision, and the clinical effect of the different prosthesis, so as to provide reference for femoral revision. METHODS: CNKI, Web of Science, and PubMed were searched for the literatures published between January 1975 and August 2017 with the key words of "Revision total hip arthroplasty, Femur revision, Cemented femoral revision, Cemenless femoral revision Reoperation, Porous-coated stems, Modular, tapered stem, Wagner SL revision Stem". RESULTS AND CONCLUSION: (1) A total of 1 041 articles were retrieved. After reading the abstract, unrelated and repeated studies were excluded. Finally, 109 studies were included. Of them, there were 106 English studies and 3 Chinese studies. Femoral revision was analyzed and summarized. (2) Femoral revision of the hip is still the future challenges facing the joint surgeon. We continue to strive to overcome the direction. Although the current material science and surgical technology are now rapidly developed, only the analysis of the reasons for the revision of the femoral side, identifying the femoral side bone defect classification, mastering the treatment of different defects and the application of the principle of prosthesis type, making reasonable femoral revision program is the key to success according to the patient's age and activity.

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