1.The risk prediction models for anastomotic leakage after esophagectomy: A systematic review and meta-analysis
Yushuang SU ; Yan LI ; Hong GAO ; Zaichun PU ; Juan CHEN ; Mengting LIU ; Yaxie HE ; Bin HE ; Qin YANG
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2025;32(02):230-236
Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.
2.Gallstones, cholecystectomy, and cancer risk: an observational and Mendelian randomization study.
Yuanyue ZHU ; Linhui SHEN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Jieli LU ; Min XU ; Yufang BI ; Weiguo HU
Frontiers of Medicine 2025;19(1):79-89
This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans
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Mendelian Randomization Analysis
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Gallstones/complications*
;
Female
;
Male
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Cholecystectomy/statistics & numerical data*
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Middle Aged
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Risk Factors
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Aged
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Adult
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Neoplasms/etiology*
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Stomach Neoplasms/epidemiology*
3.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.
4.Simultaneous determination of eight constituents in Lianhua Qingwen Capsules by LC-MS/MS
Piao-Ran QIN ; Jia-Ye TIAN ; Su-Xia LI ; Fan GAO ; Wen-Hua YU ; Xing-Chao LIU ; Qiu-Hong GUO
Chinese Traditional Patent Medicine 2024;46(11):3564-3568
AIM To establish an LC-MS/MS method for the simultaneous content determination of forsythin,forsythoside A,chlorogenic acid,neochlorogenic acid,amygdalin,emodin,rhein and salidroside in Lianhua Qingwen Capsules.METHODS The analysis was performed on a 35℃thermostatic ACQUITY UPlC-HSS T3 column(100 mm×2.1 mm,1.8 μm),with the mobile phase comprising of 0.1%formic acid-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Eight constituents showed good linear relationships within their own ranges(r≥0.999 5),whose average recoveries were 99.20%-100.96%with the RSDs of 0.62%-1.23%.CONCLUSION This simple,sensitive and reliable method can be used for the quality control of Lianhua Qingwen capsules.
5.The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(4):719-728
Background/Aims:
Low educational attainment is a well-established risk factor for nonalcoholic fatty liver disease (NAFLD) in developed areas. However, the association between educational attainment and the risk of NAFLD is less clear in China.
Methods:
A cross-sectional study including over 200,000 Chinese adults across mainland China was conducted. Information on education level and lifestyle factors were obtained through standard questionnaires, while NAFLD and advanced fibrosis were diagnosed using validated formulas. Outcomes included the risk of NAFLD in the general population and high probability of fibrosis among patients with NAFLD. Logistic regression analysis was employed to estimate the risk of NAFLD and fibrosis across education levels. A causal mediation model was used to explore the potential mediators.
Results:
Comparing with those receiving primary school education, the multi-adjusted odds ratios (95% confidence intervals) for NAFLD were 1.28 (1.16 to 1.41) for men and 0.94 (0.89 to 0.99) for women with college education after accounting for body mass index. When considering waist circumference, the odds ratios (95% CIs) were 0.94 (0.86 to 1.04) for men and 0.88 (0.80 to 0.97) for women, respectively. The proportions mediated by general and central obesity were 51.00% and 68.04% for men, while for women the proportions were 48.58% and 32.58%, respectively. Furthermore, NAFLD patients with lower educational attainment showed an incremental increased risk of advanced fibrosis in both genders.
Conclusions
In China, a low education level was associated with a higher risk of prevalent NAFLD in women, as well as high probability of fibrosis in both genders.
6.Corrigendum to: The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study
Yuanyue ZHU ; Long WANG ; Lin LIN ; Yanan HUO ; Qin WAN ; Yingfen QIN ; Ruying HU ; Lixin SHI ; Qing SU ; Xuefeng YU ; Li YAN ; Guijun QIN ; Xulei TANG ; Gang CHEN ; Shuangyuan WANG ; Hong LIN ; Xueyan WU ; Chunyan HU ; Mian LI ; Min XU ; Yu XU ; Tiange WANG ; Zhiyun ZHAO ; Zhengnan GAO ; Guixia WANG ; Feixia SHEN ; Xuejiang GU ; Zuojie LUO ; Li CHEN ; Qiang LI ; Zhen YE ; Yinfei ZHANG ; Chao LIU ; Youmin WANG ; Shengli WU ; Tao YANG ; Huacong DENG ; Lulu CHEN ; Tianshu ZENG ; Jiajun ZHAO ; Yiming MU ; Weiqing WANG ; Guang NING ; Yufang BI ; Yuhong CHEN ; Jieli LU
Gut and Liver 2024;18(5):926-927
7.Metabolic Disease Management Guideline for National Metabolic Management Center(2nd edition)
Weiqing WANG ; Yufan WANG ; Guixia WANG ; Guang NING ; Dalong ZHU ; Ping LIU ; Libin LIU ; Jianmin LIU ; Zhaoli YAN ; Xulei TANG ; Bangqun JI ; Sunjie YAN ; Heng SU ; Jianling DU ; Sheli LI ; Li LI ; Shengli WU ; Jinsong KUANG ; Yubo SHA ; Ping ZHANG ; Yifei ZHANG ; Lei CHEN ; Zunhai ZHOU ; Chao ZHENG ; Qidong ZHENG ; Zhongyan SHAN ; Dong ZHAO ; Zhigang ZHAO ; Ling HU ; Tingyu KE ; Yu SHI ; Yingfen QIN ; Mingjun GU ; Xuejiang GU ; Fengmei XU ; Zuhua GAO ; Qijuan DONG ; Yi SHU ; Yuancheng DAI
Chinese Journal of Endocrinology and Metabolism 2023;39(6):538-554
The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.
8.Forensic Validation and Application Evaluation of IDentifier DNA Typing Kit (Yan-Huang34).
Lin-Lin GAO ; Wei XIE ; Su-Juan ZHU ; Da LI ; Qin WANG ; Liang HONG ; You-Ying LI
Journal of Forensic Medicine 2023;39(6):579-585
OBJECTIVES:
To investigate the technical performance of IDentifier DNA typing kit (YanHuang34) and evaluate its forensic application value.
METHODS:
Following the Criterion of Forensic Science Human Fluorescence STR Multiplex Amplification Reagent (GB/T 37226-2018), IDentifier DNA typing kit (YanHuang34) was verified in 11 aspects of species specificity, veracity, sensibility, adaptability, inhibitor tolerance, consistency, balance, reaction condition verification, mixed samples, stability and inter batch consistency. The system efficiency of IDentifier DNA typing kit (YanHuang34) was compared with the PowerPlex® Fusion 6C System, VersaPlex® 27PY System and VeriFilerTM Plus PCR Amplification Kit. The IDentifier DNA typing kit (YanHuang34) was used to detect the swabs of biological samples in daily cases and the STR performances were observed.
RESULTS:
IDentifier DNA typing kit (YanHuang34) had good species specificity, veracity, adaptability, inhibitor tolerance and balance. The sensibility was up to 0.062 5 ng. It was able to detect different types of samples, degraded samples and inhibitor mixed samples. Complete DNA typing could be obtained for samples with the mixture ratio less than 4∶1. The system efficiency of IDentifier DNA typing kit (YanHuang34) was very high, with TDP up to 1-1.08×10-37, CPEtrio and CPEduo up to 1-5.47×10-14 and 1-6.43×10-9, respectively. For the touched biological samples in actual cases, the effective detection rate was 21.05%. The system efficiency of kinship, single parent and full sibling identifications was effectively improved.
CONCLUSIONS
The IDentifier DNA typing kit (YanHuang34) is adaptive to the GB/T 37226-2018 requirements. It can be used for individual identification and paternity identification, and is suitable for application in the field of forensic science.
Humans
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DNA Fingerprinting
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Polymerase Chain Reaction
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Microsatellite Repeats
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Paternity
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Species Specificity
9.Diagnostic value of a combined serology-based model for minimal hepatic encephalopathy in patients with compensated cirrhosis
Shanghao LIU ; Hongmei ZU ; Yan HUANG ; Xiaoqing GUO ; Huiling XIANG ; Tong DANG ; Xiaoyan LI ; Zhaolan YAN ; Yajing LI ; Fei LIU ; Jia SUN ; Ruixin SONG ; Junqing YAN ; Qing YE ; Jing WANG ; Xianmei MENG ; Haiying WANG ; Zhenyu JIANG ; Lei HUANG ; Fanping MENG ; Guo ZHANG ; Wenjuan WANG ; Shaoqi YANG ; Shengjuan HU ; Jigang RUAN ; Chuang LEI ; Qinghai WANG ; Hongling TIAN ; Qi ZHENG ; Yiling LI ; Ningning WANG ; Huipeng CUI ; Yanmeng WANG ; Zhangshu QU ; Min YUAN ; Yijun LIU ; Ying CHEN ; Yuxiang XIA ; Yayuan LIU ; Ying LIU ; Suxuan QU ; Hong TAO ; Ruichun SHI ; Xiaoting YANG ; Dan JIN ; Dan SU ; Yongfeng YANG ; Wei YE ; Na LIU ; Rongyu TANG ; Quan ZHANG ; Qin LIU ; Gaoliang ZOU ; Ziyue LI ; Caiyan ZHAO ; Qian ZHAO ; Qingge ZHANG ; Huafang GAO ; Tao MENG ; Jie LI ; Weihua WU ; Jian WANG ; Chuanlong YANG ; Hui LYU ; Chuan LIU ; Fusheng WANG ; Junliang FU ; Xiaolong QI
Chinese Journal of Laboratory Medicine 2023;46(1):52-61
Objective:To investigate the diagnostic accuracy of serological indicators and evaluate the diagnostic value of a new established combined serological model on identifying the minimal hepatic encephalopathy (MHE) in patients with compensated cirrhosis.Methods:This prospective multicenter study enrolled 263 compensated cirrhotic patients from 23 hospitals in 15 provinces, autonomous regions and municipalities of China between October 2021 and August 2022. Clinical data and laboratory test results were collected, and the model for end-stage liver disease (MELD) score was calculated. Ammonia level was corrected to the upper limit of normal (AMM-ULN) by the baseline blood ammonia measurements/upper limit of the normal reference value. MHE was diagnosed by combined abnormal number connection test-A and abnormal digit symbol test as suggested by Guidelines on the management of hepatic encephalopathy in cirrhosis. The patients were randomly divided (7∶3) into training set ( n=185) and validation set ( n=78) based on caret package of R language. Logistic regression was used to establish a combined model of MHE diagnosis. The diagnostic performance was evaluated by the area under the curve (AUC) of receiver operating characteristic curve, Hosmer-Lemeshow test and calibration curve. The internal verification was carried out by the Bootstrap method ( n=200). AUC comparisons were achieved using the Delong test. Results:In the training set, prevalence of MHE was 37.8% (70/185). There were statistically significant differences in AMM-ULN, albumin, platelet, alkaline phosphatase, international normalized ratio, MELD score and education between non-MHE group and MHE group (all P<0.05). Multivariate Logistic regression analysis showed that AMM-ULN [odds ratio ( OR)=1.78, 95% confidence interval ( CI) 1.05-3.14, P=0.038] and MELD score ( OR=1.11, 95% CI 1.04-1.20, P=0.002) were independent risk factors for MHE, and the AUC for predicting MHE were 0.663, 0.625, respectively. Compared with the use of blood AMM-ULN and MELD score alone, the AUC of the combined model of AMM-ULN, MELD score and education exhibited better predictive performance in determining the presence of MHE was 0.755, the specificity and sensitivity was 85.2% and 55.7%, respectively. Hosmer-Lemeshow test and calibration curve showed that the model had good calibration ( P=0.733). The AUC for internal validation of the combined model for diagnosing MHE was 0.752. In the validation set, the AUC of the combined model for diagnosing MHE was 0.794, and Hosmer-Lemeshow test showed good calibration ( P=0.841). Conclusion:Use of the combined model including AMM-ULN, MELD score and education could improve the predictive efficiency of MHE among patients with compensated cirrhosis.
10.Risk factor analysis of patients with biochemical recurrence after radical prostatectomy
Shuaijun MA ; Jingliang ZHANG ; Xing SU ; Xiaozheng FAN ; Jianhua JIAO ; Chaochao CUI ; Xuelin GAO ; Peng WU ; Fuli WANG ; Fei LIU ; Lijun YANG ; Xiaojian YANG ; Jianlin YUAN ; Weijun QIN
Chinese Journal of Urology 2022;43(1):35-39
Objective:To investigate the risk factors for biochemical recurrence after radical prostatectomy.Methods:The clinical data of 558 radical prostatectomy patients admitted to the First Affiliated Hospital of Air Force Military Medical University from January 2010 to December 2020 were retrospectively analyzed. The average age was 67.9 (40-87) years old, and the average body mass index was 24.56 (15.12-35.94) kg/m 2. The average PSA was 41.07 ng/ml, including 48 cases<10 ng/ml, 98 cases 10-20 ng/ml, and 412 cases>20 ng/ml. There were 123, 214, 118, 89, and 14 cases with biopsy Gleason 6-10 score, respectively. The clinical stage : 90 cases in ≤T 2b, 273 cases in T 2c, and 195 cases in ≥T 3 . 558 cases underwent radical prostatectomy, including 528 robotic-assisted laparoscopic surgery, 25 laparoscopic surgery, and 5 open-surgery. The risk factors for postoperative biochemical recurrence were analyzed by Cox regression. Results:A total of 63 patients had postoperative pathological stage pT 2a, 32 patients had pT 2b, 241 patients had pT 2c, and 222 patients had ≥pT 3. A total of 210 cases developed biochemical recurrence after surgery, and the mean time to biochemical recurrence was 33.3 (3-127) months after the radical prostatectomy. The biochemical recurrence rates at 1, 3, and 5 years were 9.7% (54/558), 21.5% (120/558), and 31.7% (177/558), respectively. Among pT 2a and pT 2b patients, 7 (11.1%) and 4 (12.5%) cases developed biochemical recurrence, respectively. Among pT 2c stage patients, 145 (60.17%) cases had positive cut margins, treated with androgen-deprivation therapy (ADT) after surgery. 68 (28.21%) cases of pT 2c stage patients had biochemical recurrence at mean 36.1 (3-106)months after the radical prostatectomy. Among ≥pT 3 patients, 147 patients with positive margins, perineural invasion, seminal vesicle invasion and positive pelvic lymph nodes were treated with postoperative androgen deprivation therapy (ADT) + radiotherapy. 98 of 147 patients (66.67%) had biochemical recurrence, and the average time to biochemical recurrence was 30.6 (24-98) months.75 patients of ≥pT 3 without positive margins, perineural invasion, seminal vesicle invasion or positive pelvic lymph nodes, were treated with postoperative ADT. 33 of them (44%) had biochemical recurrence, and the average time to biochemical recurrence was 32.5 (21-106) months. 5-and 10-year survival rates of 210 patients with biochemical recurrence were 89.05% (187/210) and 78.09% (164/210) respectively, 5- and 10-year tumor-specific survival rates were 92.57% and 87.69%, respectively. 46 of 210 cases died, of which 31 (67.39%) died from prostate cancer, and 15 cases (32.61%) died from cardiovascular and cerebrovascular diseases. Multifactorial Cox regression analysis showed that patient's age ≥70 years, initial PSA > 20ng/ml, ≥pT 3 and Gleason score ≥7 were independent risk factors for biochemical recurrence. Conclusions:After radical prostatectomy, patients were treated according to their pathological stage and surgical margins. Patients with positive margins have a higher risk of biochemical recurrence. The independent risk factors for biochemical recurrence included age ≥70 years, initial PSA > 20ng/ml, ≥pT 3 and Gleason score ≥7.

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