1.Expert consensus on peri-implant keratinized mucosa augmentation at second-stage surgery.
Shiwen ZHANG ; Rui SHENG ; Zhen FAN ; Fang WANG ; Ping DI ; Junyu SHI ; Duohong ZOU ; Dehua LI ; Yufeng ZHANG ; Zhuofan CHEN ; Guoli YANG ; Wei GENG ; Lin WANG ; Jian ZHANG ; Yuanding HUANG ; Baohong ZHAO ; Chunbo TANG ; Dong WU ; Shulan XU ; Cheng YANG ; Yongbin MOU ; Jiacai HE ; Xingmei YANG ; Zhen TAN ; Xiaoxiao CAI ; Jiang CHEN ; Hongchang LAI ; Zuolin WANG ; Quan YUAN
International Journal of Oral Science 2025;17(1):51-51
Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans
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Consensus
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Dental Implants
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Mouth Mucosa/surgery*
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Keratins
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.The Pathogenic Characteristics of the Initial Three Mpox Cases in Hunan Province, China.
Rong Jiao LIU ; Xing Yu XIANG ; Zi Xiang HE ; Qian Lai SUN ; Fu Qiang LIU ; Shuai Feng ZHOU ; Yi Wei HUANG ; Fang Cai LI ; Chao Yang HUANG ; Juan WANG ; Fang Ling HE ; Xin Hua OU ; Shi Kang LI ; Yu Ying LU ; Fan ZHANG ; Liang CAI ; Hai Ling MA ; Zhi Fei ZHAN
Biomedical and Environmental Sciences 2023;36(12):1167-1170
6.A preparation method for the organoid model of patient-derived glioblastoma
LAI Mingyao1a ; LI Shaoqun1a ; LI Xinchen2 ; SHAO Yuan2 ; YU Jie2 ; LI Hainan1b ; LI Juan1a ; HU Qingjun1a ; ZHOU Jiangfen1a ; AI Ruyu1a ; ZHOU Zhaoming1a ; LIN Tao1c ; JIN Xin1c ; MU Linsen1c ; OUYANG Hui1c ; LU Ming1c ; FAN Xiaohu2 ; CAI Linbo1a
Chinese Journal of Cancer Biotherapy 2022;29(7):659-664
[摘 要] 目的:探讨胶质母细胞瘤(GBM)患者肿瘤组织来源的GBM类器官(GBO)模型的制备方法。方法:选取2021年广东三九脑科医院新诊断经病理确诊的8例GBM患者的新鲜肿瘤组织标本,将其剪成0.5~1 mm大小的组织碎片并用特制的培养基进行培养,待其成球且直径达到1 mm时剪小传代,同时选取培养2周以上的GBO进行石蜡包埋、切片,后进行H-E染色和免疫组化染色检测,并与亲本GBM组织进行组织学与细胞学的比较。结果:成功培养2例可传代冻存的GBO,并建立GBO生物库。H-E染色结果显示,GBO保留了与亲本GBM组织相似的组织结构和细胞形态;免疫组化实验结果显示,GBO与GBM组织中GFAP、OLIG2、Ki67和ATRX分子的表达情况一致。结论:将患者来源的GBM组织在体外剪小并用特制培养基培养,可构建与GBM患者肿瘤组织在组织和细胞层面一致的GBO。
7.Revealing characteristics and rules of acupoint sensitization phenomena: based on knee osteoarthritis.
Gui-Xing XU ; Yu-Mei ZHOU ; Ning SUN ; Jin CUI ; Xiao-Rong CHANG ; Lai-Xi JI ; Si-Yu LIU ; Liao-Jun LUO ; Xiao-Jia LIU ; Dan WANG ; Ling ZHAO ; Ding-Jun CAI ; Hui ZHENG ; Ming-Sheng SUN ; Guo-Yan GENG ; Jian CHENG ; Fan-Rong LIANG
Chinese Acupuncture & Moxibustion 2022;42(1):51-57
OBJECTIVE:
To explore the characteristics and rules of acupoint sensitization phenomena based on knee osteoarthritis (KOA), one of the clinical dominant diseases of acupuncture-moxibustion.
METHODS:
In combination with literature and expert experiences, the acupoints with the highest use frequency in treatment of KOA were screened, e.g. Heding (EX-LE 2), Liangqiu (ST 34), Mingmen (GV 4), Neixiyan (EX-LE 4), Ququan (LR 8) and Dubi (ST 35). In 814 patients with KOA and 217 healthy subjects, the acupoint temperature, mechanic pain threshold and pressure pain threshold were detected separately. Using machine learning method, the sensitization was judged at each acupoint.
RESULTS:
Compared with healthy subjects, the acupoint temperature was increased and the mechanic pain threshold and pressure pain threshold were reduced in KOA patients (P<0.05). Besides, the cut-off value was presented to distinguish whether the acupoint was sensitized or not. The results of machine learning showed that the highest prediction accuracy of acupoint sensitization was 86.7% (Shenshu [BL 23]) and the lowest one was 73.9% (Heding [EX LE 2]). The prediction accuracy at the third clinical stage trial was higher, the highest was 93.3% (Ququan [LR 8]) in KOA patients.
CONCLUSION
It is confirmed that the acupoint sensitization reflects the characteristics of disease and is correlative with the conditions of illness, which may provide the reference for the auxiliary diagnosis and condition assessment of KOA.
Acupuncture Points
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Acupuncture Therapy
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Humans
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Moxibustion
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Osteoarthritis, Knee/therapy*
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Treatment Outcome
8.Correlation between blood lipid levels and disease severity in imported malaria patients from Africa
Shuhua DU ; Ying LIU ; Tong LIANG ; Wenjiao LAI ; Youxia LI ; Yongjin LIU ; Yinqiang FAN ; Huang HUANG ; Shuijiang CAI ; Xilong DENG
Chinese Journal of Infectious Diseases 2021;39(11):681-685
Objective:To explore the clinical characteristics of imported malaria from Africa, and the correlation between blood lipids and disease severity.Methods:The clinical data of 172 imported malaria patients from Africa were collected from January 1, 2018 to January 31, 2021 in Guangzhou Eighth People′s Hospital, Guangzhou Medical University. The general conditions, clinical symptoms, laboratory tests, treatment and prognosis of the patients were analyzed retrospectively. The independent samples t-test, Mann-Whitney U test and binary multivariate logistic regression analysis were used for statistical analysis when appropriate. Results:A total of 172 patients were divided into 39 severe cases and 133 non-severe cases in this study. The main infection species was Plasmodium falciparum, with a total of 153 cases (89.0%), and the severe cases were all falciparum malarias. Compared with the non-severe group, the white blood cell count and triacylglycerol level were increased in the severe group.The differences were both statistically significant ( Z=2.397 and 4.368, respectively; both P<0.05). The hemoglobin, hematocrit, platelet count, high-density lipoprotein cholesterol, apolipoprotein A (ApoA)Ⅰ and ApoAⅠ/apolipoprotein B (ApoB) were significantly decreased in the severe group. The differences were all statistically significant ( Z=-4.473, -4.464, -4.750, -4.826, -5.488 and -4.419, respectively; all P<0.01). The total cholesterol and low-density lipoprotein cholesterol were also reduced in the severe group. The differences were both statistically significant ( t=3.817 and 5.285, respectively; both P<0.01). The area under receiver operator characteristic curve of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triacylglycerol, ApoAⅠ, and ApoAⅠ/ApoB were 0.754, 0.727, 0.730, 0.789 and 0.733, respectively (all P<0.01). When the Youden index was at its maximum, the best cut-off value of ApoAⅠ was 0.535 g/L with sensitivity of the prediction for severe malaria of 79.5% and the specificity of 68.4%. ApoAⅠ had independent predictive value for severe malaria (odds ratio ( OR)=0.013, 95% confidence interval ( CI) 0.002 to 0.086, P<0.01), and stratified according to the best cut-off value, the risk of severe malaria when ApoA Ⅰ<0.535 g/L was 8.396 times of ApoA Ⅰ≥0.535 g/L ( OR=8.396, 95% CI 3.557 to 19.820, P<0.01). The case fatality rate of severe malaria was 2.6%(1/39). Conclusions:The imported malaria patients from Africa are mainly infected with Plasmodium falciparum and the case fatality rate of severe malaria is high. The high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, triacylglycerol, ApoAⅠ, ApoAⅠ/ApoB of blood lipids show higher predictive value for severe malaria, among which, ApoAⅠ has independent predictive value for severe malaria. Changes in blood lipids will help to identify severe malaria as early as possible, improve the cure rate, and reduce the risk of death.
9.Clinical observation on distribution characteristics and rules of pain sensitivity points on body surface in patients with knee osteoarthritis.
Gui-Xing XU ; Yu-Mei ZHOU ; Ming-Sheng SUN ; Liao-Jun LUO ; Xiao-Jia LIU ; Dan WANG ; Ling ZHAO ; Ding-Jun CAI ; Jiao CHEN ; Hui ZHENG ; Lai-Xi JI ; Jin CUI ; Xiao-Rong CHANG ; Fan-Rong LIANG
Chinese Acupuncture & Moxibustion 2020;40(11):1198-1201
OBJECTIVE:
To observe the distribution characteristics and rules of pain sensitivity points on body surface in patients with knee osteoarthritis (KOA).
METHODS:
A total of 916 patients with KOA were selected in this study, the pain sensitivity points of local site of knee joint were probed by thumb palpation. Tape was used to measure the distance between the pain sensitivity points and the most nearby acupoints. The Wagner tenderness measuring instrument was used to measure the tenderness threshold of pain sensitivity points.
RESULTS:
A total of 3618 pain sensitivity points were probed, among them, 3338 pain sensitivity points were sensitized. The minimum sensitization degree was 1.00, the maximum sensitization degree was 3.39, while the average sensitization degree was (2.16±0.60). Pain sensitivity points were distributed 0.37-1.73
CONCLUSION
The pain sensitivity points of patients with KOA may be the expansion effect of acupoint areas in the disease states, pain sensitivity points are more likely to appear on the medial side of knee joint.
Acupuncture Points
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Humans
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Knee Joint
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Osteoarthritis, Knee/therapy*
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Pain Threshold
10.Analysis of malaria cases in Haidian District of Beijing from 2005 to 2017
Fan WU ; Zhi-sheng WEI ; Cai-yun LAI ; Yan WANG ; Jian-ji GAO ; Gao-qiang ZHANG ; Yue-qi LI ; Wen-juan ZHANG
Chinese Journal of Disease Control & Prevention 2019;23(8):927-931
Objective To understand the epidemiological character of malaria in Haidian District of Beijing from 2005 to 2017. Methods The epidemiological data of malaria was collected from the infectious disease reporting system of medical institutions at various levels in Haidian District of Beijing from 2005 to 2017, and the epidemiological methods was used to analyze the distribution of malaria in population, time and region. Results From 2005 to 2017, 111 malaria cases were reported in Haidian District of Beijing, the annual average incidence rate was 0.26/100 000 and one death case was reported in 2014. Among the four reported types of falciparum malaria, vivax malaria, three-day malaria and untyped malaria, the most common falciparum malaria (54.5%, 60/111), no mixed infection; The peak incidence was concentrated in the summer and autumn of June-September (52.0%, 58/111); the cases were mainly occurred in young adults aged from 20 to 59(93.7%,104/111), and the incidence of males was higher than that of females ( 2=52.9, P<0.001); Cadres were the main ward population (33.3%, 33/111). Malaria cases were reported in 26 streets and towns in Haidian District. 81 cases were imported from abroad, accounting for 71.4% of the total cases, of which 74 (91.36%) were originated from Africa. Conclusions In the past 13 years, the incidence of malaria was sporadic, mainly in imported cases. The monitoring of malaria should be strengthened by entry and exit to prevent the second-generation cases of malaria.

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