1.Research Progress on the Influence of Blood Tumor Microen-vironment on the Efficacy and the Adverse Reactions of CAR-T Cell Immunotherapy——Review
Cai-Feng LIAO ; Hu-Rong LAI ; Jian LI
Journal of Experimental Hematology 2024;32(4):1290-1294
The application of chimeric antigen receptor T cell(CAR-T)immunotherapy has ushered in a new era in cancer therapy,especially in the treatment of many kinds of refractory malignant tumors.The curative effect is significant for refractory/recurrent hematologic malignancies,such as acute leukemia,lymphoma,and multiple myeloma(MM).Tumor microenvironment(TME)is closely related to the efficacy and adverse reactions of CAR-T therapy.TME not only affects the activity of CAR-T cells,reduces their anti-tumor ability,but also directly involved in the occurrence and development of CAR-T cell therapy-related adverse reactions,such as cytokine release syndrome(CRS)and immune effector cell-associated neurotoxicity syndrome(ICANS).Therefore,a deeper understanding of the role of blood TME in the process of CAR-T immunotherapy and the occurrence and development of adverse reactions is helpful for the application of CAR-T therapy in hematological malignancies.In this review,the influence of blood TME on the efficacy and adverse reactions of CAR-T immunotherapy was briefly summarized,aiming to provide evidence-based support for the clinical optimization of therapeutic regimen of refractory/recurrent hematologic malignancies.
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
4.A comparison of CAS risk model and CHA2DS2-VASc risk model in guiding anticoagulation treatment in Chinese patients with non-valvular atrial fibrillation.
Jia Long DENG ; Liu HE ; Chao JIANG ; Yi Wei LAI ; De Yong LONG ; Cai Hua SANG ; Chang Qi JIA ; Li FENG ; Xu LI ; Man NING ; Rong HU ; Jian Zeng DONG ; Xin DU ; Ri Bo TANG ; Chang Sheng MA
Chinese Journal of Cardiology 2022;50(9):888-894
Objective: To compare the differences between CAS risk model and CHA2DS2-VASc risk score in predicting all cause death, thromboembolic events, major bleeding events and composite endpoint in patients with nonvalvular atrial fibrillation. Methods: This is a retrospective cohort study. From the China Atrial Fibrillation Registry cohort study, the patients with atrial fibrillation who were>18 years old were randomly divided into CAS risk score group and CHA2DS2-VASc risk score group respectively. According to the anticoagulant status at baseline and follow-up, patients in the 2 groups who complied with the scoring specifications for anticoagulation were selected for inclusion in this study. Baseline information such as age and gender in the two groups were collected and compared. Follow-up was performed periodically to collect information on anticoagulant therapy and endpoints. The endpoints were all-cause death, thromboembolism events and major bleeding, the composite endpoint events were all-cause death and thromboembolism events. The incidence of endpoints in CAS group and CHA2DS2-VASc group was analyzed, and multivariate Cox proportional risk model was used to analyze whether the incidence of the endpoints was statistically different between the two groups. Results: A total of 5 206 patients with AF were enrolled, average aged (63.6±12.2) years, and 2092 (40.2%) women. There were 2 447 cases (47.0%) in CAS risk score group and 2 759 cases (53.0%) in CHA2DS2-VASc risk score group. In the clinical baseline data of the two groups, the proportion of left ventricular ejection fraction<55%, non-paroxysmal atrial fibrillation, oral warfarin and HAS BLED score in the CAS group were lower than those in the CHA2DS2-VASc group, while the proportion of previous diabetes history and history of antiplatelet drugs in the CAS group was higher than that in the CHA2DS2-VASc group, and there was no statistical difference in other baseline data. Patients were followed up for (82.8±40.8) months. In CAS risk score group, 225(9.2%) had all-cause death, 186 (7.6%) had thromboembolic events, 81(3.3%) had major bleeding, and 368 (15.0%) had composite endpoint. In CHA2DS2-VASc risk score group, 261(9.5%) had all-cause death 209(7.6%) had thromboembolic events, 112(4.1%) had major bleeding, and 424 (15.4%) had composite endpoint. There were no significant differences in the occurrence of all-cause death, thromboembolic events, major bleeding and composite endpoint between anticoagulation in CAS risk score group and anticoagulation in CHA2DS2-VASc risk score group (log-rank P =0.643, 0.904, 0.126, 0.599, respectively). Compared with CAS risk score, multivariable Cox proportional hazards regression models showed no significant differences for all-cause death, thromboembolic events, major bleeding and composite endpoint between the two groups with HR(95%CI) 0.95(0.80-1.14), 1.00(0.82-1.22), 0.83(0.62-1.10), 0.96(0.84-1.11), respectively. All P>0.05. Conclusions: There were no significant differences between CAS risk model and CHA2DS2-VASc risk score in predicting all-cause death, thromboembolic events, and major bleeding events in Chinese patients with non-valvular atrial fibrillation.
Adolescent
;
Anticoagulants
;
Atrial Fibrillation/drug therapy*
;
Cohort Studies
;
Female
;
Hemorrhage/complications*
;
Humans
;
Male
;
Retrospective Studies
;
Risk Assessment
;
Stroke/epidemiology*
;
Stroke Volume
;
Thromboembolism/etiology*
;
Ventricular Function, Left
5.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
;
Acupuncture Therapy
;
Humans
;
Moxibustion
;
Osteoarthritis, Knee/therapy*
;
Treatment Outcome
6.Clinical Analysis of Bloodstream Infection after Hematopoietic Stem Cell Transplantation.
Ying-Ying WU ; Bei-Cai LIU ; Lian-Jin LIU ; Shi-Si YUAN ; Jie-Min WEI ; Li-Lin WANG ; Pei-Xi WANG ; Ji-Cong LIU ; Yong-Rong LAI ; Qiao-Chuan LI
Journal of Experimental Hematology 2022;30(1):292-297
OBJECTIVE:
To analyze the clinical characteristics of bloodstream infection (BSI) in patients treated by hematopoietic stem cell transplantation (HSCT).
METHODS:
The clinical characteristics, distribution of pathogenic bacteria causing BSI and drug sensitivity of 910 patients treated by HSCT in our department from January 2013 to June 2020 were retrospectively analyzed.
RESULTS:
Among 910 HSCT patients, 111 patients were diagnosed as BSI within 100 days after transplantation, and 98 patients showed BSI during the period of agranulocytosis. Multivariate analysis showed that the usage of anti-thymocyte globulin (ATG), long duration of agranulocytosis and low infusion volume of mononuclear cell (MNC) were the independent risk factors affecting BSI after HSCT. Among 121 pathogenic bacteria isolated, 76 Gram-negative (G-) bacteria (62.8%), 40 Gram-positive (G+) bacteria (33.0%), and 5 fungi (4.1%) were detected out. The top three pathogens were Escherichia coli, Staphylococcus epidermidis and Pseudomonas aeruginosa. The drug-resistance rates of Escherichia coli and Klebsiella pneumoniae to carbapenems was 14.3% and 7.7%, respectively, and Pseudomonas aeruginosa was 66.7%. The susceptibility of G+ bacteria to vancomycin, linezolid and teicoplanin was 97.5%, 100% and 100%, respectively. The crude mortality rate of the patients with BSI at 100 days after HSCT was significantly higher than that of patients without BSI (P<0.001).
CONCLUSION
The usage of ATG, long duration of agranulocytosis and low infusion volume of MNC are independent risk factors for BSI after HSCT. The pathogens after HSCT are mainly G- bacteria. Pseudomonas aeruginosa is highly resistant to carbapenems. Key words ;
Bacteremia/epidemiology*
;
Bacteria
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Hematopoietic Stem Cell Transplantation
;
Humans
;
Retrospective Studies
;
Sepsis
7.Chlamydia trachomatis infection and its associated factors among asymptomatic outpatients attending sexually transmitted disease-related clinics.
Ning NING ; Yu Mao CAI ; Rong Xing WENG ; Hong Lin WANG ; Li Zhang WEN ; Chun Lai ZHANG ; Jian Bin YE ; Xiangsheng CHEN
Chinese Journal of Epidemiology 2022;43(9):1436-1440
Objective: To understand the prevalence of Chlamydia trachomatis (CT) infection and its associated factors among asymptomatic outpatients attending sexually transmitted disease (STD)-related clinics in Shenzhen and provide evidence for development of future interventions. Methods: From April 15 to May 16, 2018, a cross-sectional study was conducted and patients attending STD-related Clinics were recruited from 22 medical institutions in Nanshan, Luohu, Bao'an, Longgang, Yantian, and Longhua districts of Shenzhen. After the informed consent from each participant was obtained, social-demographic information was collected through a structured questionnaire and urine samples were collected for CT nucleic acid detection. In addition, logistic regression was used to explore associated factors of CT infection. Results: In asymptomatic outpatients, the prevalence of CT infection was 7.16% (250/3 492). Being single (aOR=2.29, 95%CI:1.65-3.16), without registered Shenzhen residency (aOR=1.49, 95%CI:1.04-2.13), and without previous CT testing in the past year (aOR=2.04, 95%CI:1.03-4.05) were the risk factors of CT infection in asymptomatic outpatients. Among participants without registered Shenzhen residency, 89.25% (2 176/2 438) were college-degree or below, and 51.29% (1 255/2 447) were aged ≤30 years, and the risk of CT infection among those ≤30 years old was 1.73 times higher than those >30 years old (95%CI:1.28-2.34). Conclusions: The prevalence of CT infection was high among asymptomatic outpatients attending STD-related clinics in Shenzhen. Routine CT screening should be carried out for this population, especially for those with sexually active age, being single, with low educational level, and without previous CT testing in the past year. Also, raising their awareness of knowledge and adverse outcomes of CT infection should be considered to promote routine CT screening and timely treatment.
Adult
;
Chlamydia Infections/epidemiology*
;
Chlamydia trachomatis
;
Cross-Sectional Studies
;
Humans
;
Nucleic Acids
;
Outpatients
8.A simple and easily implemented risk model to predict 1-year ischemic stroke and systemic embolism in Chinese patients with atrial fibrillation
Chao JIANG ; Tian-Ge CHEN ; Xin DU ; Xiang LI ; Liu HE ; Yi-Wei LAI ; Shi-Jun XIA ; Rong LIU ; Yi-Ying HU ; Ying-Xue LI ; Chen-Xi JIANG ; Nian LIU ; Ri-Bo TANG ; Rong BAI ; Cai-Hua SANG ; De-Yong LONG ; Guo-Tong XIE ; Jian-Zeng DONG ; Chang-Sheng MA
Chinese Medical Journal 2021;134(19):2293-2298
Background::Accurate prediction of ischemic stroke is required for deciding anticoagulation use in patients with atrial fibrillation (AF). Even though only 6% to 8% of AF patients die from stroke, about 90% are indicated for anticoagulants according to the current AF management guidelines. Therefore, we aimed to develop an accurate and easy-to-use new risk model for 1-year thromboembolic events (TEs) in Chinese AF patients.Methods::From the prospective China Atrial Fibrillation Registry cohort study, we identified 6601 AF patients who were not treated with anticoagulation or ablation at baseline. We selected the most important variables by the extreme gradient boosting (XGBoost) algorithm and developed a simplified risk model for predicting 1-year TEs. The novel risk score was internally validated using bootstrapping with 1000 replicates and compared with the CHA 2DS 2-VA score (excluding female sex from the CHA 2DS 2-VASc score). Results::Up to the follow-up of 1 year, 163 TEs (ischemic stroke or systemic embolism) occurred. Using the XGBoost algorithm, we selected the three most important variables (congestive heart failure or left ventricular dysfunction, age, and prior stroke, abbreviated as CAS model) to predict 1-year TE risk. We trained a multivariate Cox regression model and assigned point scores proportional to model coefficients. The CAS scheme classified 30.8% (2033/6601) of the patients as low risk for TE (CAS score = 0), with a corresponding 1-year TE risk of 0.81% (95% confidence interval [CI]: 0.41%-1.19%). In our cohort, the C-statistic of CAS model was 0.69 (95% CI: 0.65-0.73), higher than that of CHA 2DS 2-VA score (0.66, 95% CI: 0.62-0.70, Z = 2.01, P = 0.045). The overall net reclassification improvement from CHA 2DS 2-VA categories (low = 0/high ≥1) to CAS categories (low = 0/high ≥1) was 12.2% (95% CI: 8.7%-15.7%). Conclusion::In Chinese AF patients, a novel and simple CAS risk model better predicted 1-year TEs than the widely-used CHA 2DS 2- VA risk score and identified a large proportion of patients with low risk of TEs, which could potentially improve anticoagulation decision-making. Trial Registration::www.chictr.org.cn (Unique identifier No. ChiCTR-OCH-13003729).
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
;
Humans
;
Knee Joint
;
Osteoarthritis, Knee/therapy*
;
Pain Threshold
10.Preliminary results of multicenter studies on ABO-incompatible kidney transplantation
Hongtao JIANG ; Tao LI ; Kun REN ; Xiaohua YU ; Yi WANG ; Shanbin ZHANG ; Desheng LI ; Huiling GAN ; Houqin LIU ; Liang XU ; Zhigang LUO ; Peigen GUI ; Xiangfang TAN ; Bingyi SHI ; Ming CAI ; Xiang LI ; Junnan XU ; Liang XU ; Tao LIN ; Xianding WANG ; Hongtao LIU ; Lexi ZHANG ; Jianyong WU ; Wenhua LEI ; Jiang QIU ; Guodong CHEN ; Jun LI ; Gang HUANG ; Chenglin WU ; Changxi WANG ; Lizhong CHEN ; Zheng CHEN ; Jiali FANG ; Xiaoming ZHANG ; Tongyi MEN ; Xianduo LI ; Chunbo MO ; Zhen WANG ; Xiaofeng SHI ; Guanghui PEI ; Jinpeng TU ; Xiaopeng HU ; Xiaodong ZHANG ; Ning LI ; Shaohua SHI ; Hua CHEN ; Zhenxing WANG ; Weiguo SUI ; Ying LI ; Qiang YAN ; Huaizhou CHEN ; Liusheng LAI ; Jinfeng LI ; Wenjun SHANG ; Guiwen FENG ; Gang CHEN ; Fanjun ZENG ; Lan ZHU ; Jun FANG ; Ruiming RONG ; Xuanchuan WANG ; Guisheng QI ; Qiang WANG ; Puxun TIAN ; Yang LI ; Xiaohui TIAN ; Heli XIANG ; Xiaoming PAN ; Xiaoming DING ; Wujun XUE ; Jiqiu WEN ; Xiaosong XU
Chinese Journal of Organ Transplantation 2020;41(5):259-264
Objective:To summarize the patient profiles and therapeutic efficacies of ABO-incompatible living-related kidney transplantations at 19 domestic transplant centers and provide rationales for clinical application of ABOi-KT.Methods:Clinical cases of ABO-incompatible/compatible kidney transplantation (ABOi-KT/ABOc-KT) from December 2006 to December 2009 were collected. Then, statistical analyses were conducted from the aspects of tissue matching, perioperative managements, complications and survival rates of renal allograft or recipients.Results:Clinical data of 342 ABOi-KT and 779 ABOc-KT indicated that (1) no inter-group differences existed in age, body mass index (BMI), donor-recipient relationship or waiting time of pre-operative dialysis; (2) ABO blood type: blood type O recipients had the longest waiting list and transplantations from blood type A to blood type O accounted for the largest proportion; (3) HLA matching: no statistical significance existed in mismatch rate or positive rate of PRA I/II between two types of surgery; (4) CD20 should be properly used on the basis of different phrases; (5) hemorrhage was a common complication during an early postoperative period and microthrombosis appeared later; (6) no difference existed in postoperative incidence of complications or survival rate of renal allograft and recipients at 1/3/5/10 years between ABOi-KT and ABOc-KT. The acute rejection rate and serum creatinine levels of ABOi-KT recipients were comparable to those of ABOc-KT recipients within 1 year.Conclusions:ABOi-KT is both safe and effective so that it may be applied at all transplant centers as needed.

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