1.Influencing factors of positive surgical margins after radical resection of prostate cancer.
Chang-Jie SHI ; Zhi-Jian REN ; Ying ZHANG ; Ding WU ; Bo FANG ; Xiu-Quan SHI ; Wen CHENG ; Dian FU ; Xiao-Feng XU
National Journal of Andrology 2025;31(4):328-332
OBJECTIVE:
To investigate the influencing factors of pathological positive surgical margins (PSM) after radical resection of prostate cancer.
METHODS:
The clinical data of 407 patients who underwent radical resection of prostate cancer in our hospital from 2011 to 2020 were retrospectively analyzed. And the patients were divided into two groups according to postoperative pathological results. Single factor analysis was used to evaluate the differences in postoperative Gleason score, preoperative total prostate-specific antigen (tPSA), preoperative serum free prostate-specific antigen to preoperative tPSA ratio (fPSA/ tPSA), clinical stage, postoperative pathological stage, operation method, age, body mass index (BMI), diameter and volume of prostate tumor. Multivariate logistic regression was used to determine the independent risk factor of PSM.
RESULTS:
Among 407 patients with prostate cancer, 179 cases (43.98%) were positive. Univariate analysis showed that there were significant differences in postoperative Gleason score, preoperative tPSA, clinical stage and postoperative pathological stage between the two groups (P<0.05). And Gleason score, preoperative tPSA and pathologic stage were independent risk factors for PSM.
CONCLUSION
There are relationships between PSM and postoperative Gleason score, tPSA, clinical T stage, postoperative pathologic pT stage. Among them, postoperative Gleason score (Gleason=7 points, Gleason≥8 points), preoperative total prostate-specific antigen (tPSA > 20 μg/L), and postoperative pathologic pT stage (pT3a, pT3b) were independent risk factors for positive pathological margins of prostate cancer.
Margins of Excision
;
Prostatic Neoplasms/surgery*
;
Prostatectomy/statistics & numerical data*
;
Prostate/surgery*
;
Retrospective Studies
;
Neoplasm Grading/statistics & numerical data*
;
Prostate-Specific Antigen/blood*
;
Neoplasm Staging/statistics & numerical data*
;
Postoperative Period
;
Risk Factors
;
Humans
;
Male
2.Autonomous drug delivery and scar microenvironment remodeling using micromotor-driven microneedles for hypertrophic scars therapy.
Ting WEN ; Yanping FU ; Xiangting YI ; Ying SUN ; Wanchen ZHAO ; Chaonan SHI ; Ziyao CHANG ; Beibei YANG ; Shuling LI ; Chao LU ; Tingting PENG ; Chuanbin WU ; Xin PAN ; Guilan QUAN
Acta Pharmaceutica Sinica B 2025;15(7):3738-3755
Hypertrophic scar is a fibrous hyperplastic disorder that arises from skin injuries. The current therapeutic modalities are constrained by the dense and rigid scar tissue which impedes effective drug delivery. Additionally, insufficient autophagic activity in fibroblasts hinders their apoptosis, leading to excessive matrix deposition. Here, we developed an active microneedle (MN) system to overcome these challenges by integrating micromotor-driven drug delivery with autophagy regulation to remodel the scar microenvironment. Specifically, sodium bicarbonate and citric acid were introduced into the MNs as a built-in engine to generate CO2 bubbles, thereby enabling enhanced lateral and vertical drug diffusion into dense scar tissue. The system concurrently encapsulated curcumin (Cur), an autophagy activator, and triamcinolone acetonide (TA), synergistically inducing fibroblast apoptosis by upregulating autophagic activity. In vitro studies demonstrated that active MNs achieved efficient drug penetration within isolated scar tissue. The rabbit hypertrophic scar model revealed that TA-Cur MNs significantly reduced the scar elevation index, suppressed collagen I and transforming growth factor-β1 (TGF-β1) expression, and elevated LC3 protein levels. These findings highlight the potential of the active MN system as an efficacious platform for autonomous augmented drug delivery and autophagy-targeted therapy in fibrotic disorder treatments.
3.Hepatitis C virus infection:surveillance report from China Healthcare-as-sociated Infection Surveillance System in 2020
Xi-Mao WEN ; Nan REN ; Fu-Qin LI ; Rong ZHAN ; Xu FANG ; Qing-Lan MENG ; Huai YANG ; Wei-Guang LI ; Ding LIU ; Feng-Ling GUO ; Shu-Ming XIANYU ; Xiao-Quan LAI ; Chong-Jie PANG ; Xun HUANG ; An-Hua WU
Chinese Journal of Infection Control 2024;23(1):1-8
Objective To investigate the infection status and changing trend of hepatitis C virus(HCV)infection in hospitalized patients in medical institutions,and provide reference for formulating HCV infection prevention and control strategies.Methods HCV infection surveillance results from cross-sectional survey data reported to China Healthcare-associated Infection(HAI)Surveillance System in 2020 were summarized and analyzed,HCV positive was serum anti-HCV positive or HCV RNA positive,survey result was compared with the survey results from 2003.Results In 2020,1 071 368 inpatients in 1 573 hospitals were surveyed,738 535 of whom underwent HCV test,4 014 patients were infected with HCV,with a detection rate of 68.93%and a HCV positive rate of 0.54%.The positive rate of HCV in male and female patients were 0.60%and 0.48%,respectively,with a statistically sig-nificant difference(x2=47.18,P<0.001).The HCV positive rate in the 50-<60 age group was the highest(0.76%),followed by the 40-<50 age group(0.71%).Difference among all age groups was statistically signifi-cant(x2=696.74,P<0.001).In 2003,91 113 inpatients were surveyed.35 145 of whom underwent HCV test,resulting in a detection rate of 38.57%;775 patients were infected with HCV,with a positive rate of 2.21%.In 2020,HCV positive rates in hospitals of different scales were 0.46%-0.63%,with the highest in hospital with bed numbers ranging 600-899.Patients'HCV positive rates in hospitals of different scales was statistically signifi-cant(X2=35.34,P<0.001).In 2020,12 provinces/municipalities had over 10 000 patients underwent HCV-rela-ted test,and HCV positive rates ranged 0.19%-0.81%,with the highest rate from Hainan Province.HCV posi-tive rates in different departments were 0.06%-0.82%,with the lowest positive rate in the department of pedia-trics and the highest in the department of internal medicine.In 2003 and 2020,HCV positive rates in the depart-ment of infectious diseases were the highest,being 7.95%and 3.48%,respectively.Followed by departments of orthopedics(7.72%),gastroenterology(3.77%),nephrology(3.57%)and general intensive care unit(ICU,3.10%)in 2003,as well as departments of gastroenterology(1.35%),nephrology(1.18%),endocrinology(0.91%),and general intensive care unit(ICU,0.79%)in 2020.Conclusion Compared with 2003,HCV positive rate decreased significantly in 2020.HCV infected patients were mainly from the department of infectious diseases,followed by departments of gastroenterology,nephrology and general ICU.HCV infection positive rate varies with gender,age,and region.
4.The correlation between serum Klotho levels and frailty in elderly people
Piao LAI ; Li ZHANG ; Yonghua WU ; Zhenwei ZHANG ; Jiahui FU ; Quan SUN ; Miaoli SONG ; Gengchao ZHU
Chinese Journal of Geriatrics 2024;43(3):372-377
Objective:To examine the correlation between serum Klotho levels and frailty in elderly people.Methods:In this cross-sectional study, 150 community-dwelling elderly people aged 65 years and over were enrolled.Subjects were divided into a frail(n=50, 33.3%), a pre-frail(n=47, 31.3%)and a non-frail(n=53, 35.3%)group based on the Fried phenotype.General participant data, routine laboratory test results, short physical performance battery(SPPB)results and human body composition data were collected.Serum Klotho protein levels were measured by an enzyme-linked immunosorbent assay.The relationship between serum Klotho protein levels and frailty was analyzed by using Spearmen's correlation analysis and Logistic regression analysis.Results:Klotho protein levels were lower in the frail group than in the non-frail group( P=0.001), whereas differences between the frail group and the pre-frail group and between the pre-frail group and the non-frail group were not statistically significant(all P>0.05).When Klotho protein levels were classified into four quartiles, i.e., Q 1, Q 2, Q 3, and Q 4, using three cut-off vales(2.28, 3.52, and 5.09 mg/L), the prevalences of frailty were 51.4%(19/37), 39.5%(15/38), 24.3%(9/37)and 18.4%(7/38), respectively.The prevalence of frailty decreased with increasing Klotho protein levels( χ2=11.204, P=0.011).Spearman correlation analysis showed that the Klotho protein level was negatively correlated with frailty( r=-0.310, P<0.001).Multivariate Logistic regression analysis results showed that age( OR=1.109, 95% CI: 1.011-1.217, P=0.028)and sarcopenia( OR=6.511, 95% CI: 1.279-33.147, P=0.024)were risk factors for frailty, while walking( OR=0.104, 95% CI: 0.033-0.326, P<0.001), a high SPPB score( OR=0.780, 95% CI: 0.627-0.970, P=0.026), and a high Klotho protein level( OR=0.752, 95% CI: 0.581-0.974, P=0.031)were protective factors against frailty. Conclusions:The serum Klotho protein level may be used as a parameter for the assessment of frailty.It is negatively correlated with frailty, suggesting that elderly people with low serum Klotho protein levels are at high risk of developing frailty.
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.Diagnosis and treatment of small-cell carcinoma of the prostate:A report of 2 cases
Long-Wei LU ; Xiu-Quan SHI ; Song XU ; Ding WU ; Lei WANG ; Dian FU ; Zhen-Yu XU
National Journal of Andrology 2024;30(1):40-43
Objective:To explore the clinical manifestations,diagnosis,pathological features and treatment of small-cell carci-noma of the prostate(SCCP).Methods:We conducted a retrospective analysis of the clinical and pathological data of 2 cases of confirmed SCCP treated from November 2017 to March 2018,and reviewed relevant literature.Results:Both the patients had the symptoms of frequent,urgent and difficult urination,with an elevated level of PSA and grades Ⅱ-Ⅲ enlargement of the prostate at palpation.One underwent prostate puncture biopsy and the other received transurethral 1470 laser vaporization resection of the tumor.Postoperative pathology indicated prostate adenocarcinoma accompanied by SCCP in both of the cases.One of them was treated by eto-poside-platinum(EP)chemotherapy and died of systemic multiple organ failure 20 months after diagnosis,while the other underwent endocrine therapy and has lived with tumor up to the present day.Conclusion:The incidence rate of SCCP is low,its malignancy is high,and its prognosis is poor.The average survival of the patient is about 7 to 10 months after diagnosis.Currently there is no effec-tive management of the dissease,except by relying on the experience of the treatment of small-cell lung cancer,with chemotherapy as the main option.
7.Design of automatic urine volume detection and collection device
Yan CHEN ; De-Zhao ZHAI ; Xiao-Quan ZHANG ; Fu-Long LIU ; Xiao-Tao ZHANG ; Yong-Mei ZHANG ; Wei CEHN ; Fang ZHANG ; Guo-Hui WU ; Jun DENG ; Dan LI
Chinese Medical Equipment Journal 2024;45(4):66-69
Objective To develop an automatic urine volume detection and collection device to solve the problems of routine urine test.Methods An automatic urine volume detection and collection device was developed with the components of a main control system,a detection system,a prompting system and a grasping and moving system.The main control system consisted of two STM32 microcontrollers and a reset switch;the detection system was made up of a weighing module,an infrared module and indicator lights,which had its urine volume automatic detection algorithm developed based on the Keil5 platform;the prompting system realized voice broadcasting through the voice module fixed on the back panel of the box;the grasping and moving system was composed of a rail drive motor(86CM stepper motor),a photoelectric switch and a motorized gripper.Results The device developed tested urine samples with an accuracy of 99.44%,and could collect qualified samples automatically and quickly.Conclusion The device developed detects urine volume and collects samples automatically,and enhances the accuracy and efficiency of urine examination.[Chinese Medical Equipment Journal,2024,45(4):66-69]
8.Study on formulation and revision of standard limits for radon in "Standards for indoor air quality (GB/T 18883-2022)" in China.
Yan Chao SONG ; Yun Yun WU ; Quan Fu SUN ; Chang Song HOU ; Bing SHANG ; Hong Xing CUI
Chinese Journal of Preventive Medicine 2023;57(11):1773-1776
Public exposure to radon has attracted increasing public concern. The newly issued "Standards for indoor air quality (GB/T 18883-2022)" has revised the radiological parameters of radon. This study analyzed and discussed the relevant technical contents about the derivation of radon limit, including the distribution level for indoor radon, exposure pathway, health effects, and the process for establishing the standard limits. Specific implementation and evaluation suggestions are also proposed.
Humans
;
Radon/analysis*
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Air Pollution, Indoor
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China
;
Housing
9.Study on formulation and revision of standard limits for radon in "Standards for indoor air quality (GB/T 18883-2022)" in China.
Yan Chao SONG ; Yun Yun WU ; Quan Fu SUN ; Chang Song HOU ; Bing SHANG ; Hong Xing CUI
Chinese Journal of Preventive Medicine 2023;57(11):1773-1776
Public exposure to radon has attracted increasing public concern. The newly issued "Standards for indoor air quality (GB/T 18883-2022)" has revised the radiological parameters of radon. This study analyzed and discussed the relevant technical contents about the derivation of radon limit, including the distribution level for indoor radon, exposure pathway, health effects, and the process for establishing the standard limits. Specific implementation and evaluation suggestions are also proposed.
Humans
;
Radon/analysis*
;
Air Pollution, Indoor
;
China
;
Housing
10.Study on the features of Clostridioides difficile infection among diarrhea patients in Kunming from 2018 to 2020.
Gui Man LI ; Wen Peng GU ; Min HOU ; Sen Quan JIA ; Yuan Yuan WANG ; Lu Lu BAI ; Jian Wen YIN ; Yong Ming ZHOU ; Xiao Qing FU ; Jin Xing LU ; Yuan WU
Chinese Journal of Epidemiology 2023;44(4):624-628
Objective: We analyze the characteristics of Clostridioides difficile (C. difficile) infection among diarrhea patients in Kunming from 2018 to 2020 and provide evidence for follow-up surveillance and prevention. Methods: A total of 388 fecal samples of diarrhea patients from four sentinel hospitals in Yunnan Province from 2018 to 2020 were collected. Real-time quantitative PCR was used to detect the fecal toxin genes of C. difficile. The positive fecal samples isolated the bacteria, and isolates were identified by mass spectrometry. The genomic DNA of the strains was extracted for multi-locus sequence typing (MLST). The fecal toxin, strain isolation, and clinical patient characteristics, including co-infection with other pathogens, were analyzed. Results: Among the 388 fecal samples, 47 samples with positive reference genes of C. difficile were positive, with a total positive rate of 12.11%. There were 4 (8.51%) non-toxigenic and 43 (91.49%) toxigenic ones. A total of 18 strains C. difficile were isolated from 47 positive specimens, and the isolation rate of positive specimens was 38.30%. Among them, 14 strains were positive for tcdA, tcdB, tcdC, tcdR, and tcdE. All 18 strains of C. difficile were negative for binary toxins. The MLST results showed 10 sequence types (ST), including 5 strains of ST37, accounting for 27.78%; 2 strains of ST129, ST3, ST54, and ST2, respectively; and 1 strain of ST35, ST532, ST48, ST27, and ST39, respectively. Fecal toxin gene positive (tcdB+) results were statistically associated with the patient's age group and with or without fever before the visit; positive isolates were only statistically associated with the patient's age group. In addition, some C. difficile patients have co-infection with other diarrhea-related viruses. Conclusions: The infection of C. difficile in diarrhea patients in Kunming is mostly toxigenic strains, and the high diversity of strains was identified using the MLST method. Therefore, the surveillance and prevention of C. difficile should be strengthened.
Humans
;
Bacterial Toxins/genetics*
;
Enterotoxins/genetics*
;
Clostridioides difficile/genetics*
;
Multilocus Sequence Typing
;
Coinfection
;
Bacterial Proteins/genetics*
;
China/epidemiology*
;
Clostridium Infections/epidemiology*
;
Diarrhea/microbiology*

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