1.Exploring the construction path of the new doctor-patient relationships of “doctor-medical artificial intelligence-patient”
Ruyi ZHANG ; Yun’ao ZHOU ; Yingchun PENG
Chinese Medical Ethics 2025;38(1):103-108
The widespread application of medical artificial intelligence (AI) has brought technological breakthroughs to traditional diagnosis and treatment and has also altered the traditional doctor-patient interaction mode and formed a new doctor-patient relationship of “doctor-medical AI-patient” which faces a series of challenges. The intervention of AI may form a new “paternalistic style,” affecting the shared decision-making model. When its recommendations lack explanation, it may lead to clinical decision-making paralysis and affect the doctor-patient trust relationships. There may be confusion between the roles and responsibilities of AI and doctors in the process of medical practice, affecting the establishment of an emotionally responsible doctor-patient relationship. Through an in-depth analysis of the impact and causes of medical AI on the doctor-patient relationships, this paper proposed that a collaborative mechanism should be established between AI and professional doctors to complement each other, clarifying the auxiliary status of AI, reinforcing the dominant role of doctors, enhancing the regulatory mechanism, and dynamically improved the doctor-patient relationships to promote the healthy and orderly development of smart healthcare.
2.Risk factors for poor prognosis in patients with extracorporeal cardiopulmonary resuscitation
Junjun WANG ; Shuai TONG ; Ruyi LEI ; Xinya JIA ; Xiaodong SONG ; Tangjuan ZHANG ; Hong WANG ; Yan ZHOU ; Renjie LI ; Xingqiang ZHU ; Chujun YANG ; Chao LAN
Chinese Journal of Emergency Medicine 2024;33(2):215-221
Objective:To analyze the clinical characteristics of patients undergoing extracorporeal cardiopulmonary resuscitation (ECPR), and to explore the risk factors leading to poor prognosis.Methods:The clinical data of 95 patients with ECPR admitted to the First Affiliated Hospital of Zhengzhou University from January 2020 to May 2023 were retrospectively analyzed. According to the survival status at the time of discharge, the patients were divided into the survival group and death group. The difference of clinical data between the two groups was compared to explore the risk factors related to death and poor prognosis. Risk factors associated with death were identified by Binary Logistic regression analysis. Results:A total of 95 patients with ECPR were included in this study, 62 (65.3%) died and 33 (34.7%) survived at discharge. Patients in the death group had longer low blood flow time [40 (30, 52.5) min vs. 30 (24.5, 40) min ] and total cardiac arrest time[40 (30, 52.5) min vs. 30(24.5, 40) min], shorter total hospital stay [3 (2, 7.25) d vs. 19 (13.5, 31) d] and extracorporeal membrane oxygenation (ECMO) assisted time [26.5 (17, 50) h vs. 62 (44, 80.5) h], and more IHCA patients (56.5% vs. 33.3%) and less had spontaneous rhythm recovery before ECMO (37.1% vs. 84.8%). Initial lactate value [(14.008 ± 5.188) mmol/L vs.(11.23 ± 4.718) mmol/L], APACHEⅡ score [(30.10 ± 7.45) vs. (25.88 ± 7.68)] and SOFA score [12 (10.75, 16) vs. 10 (9.5, 13)] were higher ( P< 0.05). Conclusions:No spontaneous rhythm recovery before ECMO, high initial lactic acid and high SOFA score are independent risk factors for poor prognosis in ECPR patients.
3.Path analysis of the infraorbital nerve
Ruyi ZHENG ; Yanlin WU ; Junhao FANG ; Mingyang WANG ; Jiawei ZHANG ; Yeying WANG ; Xiaodong XU ; Jianjun ZHAO
Chinese Journal of Neuroanatomy 2024;40(4):471-477
Objective:This study aimed to reveal the distribution and course of the branches of the infraorbital nerve(IN),its communication relationship between the branches of the infraorbital nerve and facial nerve,so as to provide morphological basis for clinical implementation of accurate infraorbital nerve trunk in the infraorbital canal,regional facial anesthesia and facial surgery,so as to improve the success rate of maxillofacial surgery.Methods:25 adult cada-vers with formalin immobilized semi-face were selected.Exclude facial defect samples caused by tumor,trauma,deformity,surgery,etc.The length and diameter of the trunk of the infraorbital nerve and the length of the infraorbital canal were measured.The total number of infraorbital nerve and the number of branches were counted,and the course,distribution and communication relationship between infraorbital nerve and facial nerve were investigated.Results:The length of infraorbital nerve trunk ranged from 19.61 to 44.47 mm,with an average length of(23.33±4.95)mm.The length of infraorbital canal ranged from 9.49 to 31.21 mm,with an average length of(12.87±3.99)mm.The number of infraorbital nerve branches ranged from 5 to 12,and the average number was(7.29±2.29).The number of upper labial branches was the widest,ranging from 1 to 5,while the distribution area of eyelid branches was the narrowest.There are(were)a large number of intersections and anastomoses between the infraorbital nerve and the facial nerve,forming a complex multi-layer network structure.Conclusion:The infraorbital nerve trunk and the infraorbital canal va-ry in length.The number and distribution range of infraorbital nerve branches are not constant,and the communication relationship between infraorbital nerve and facial nerve is complicated.
4.Erastin induces ferroptosis in lung fibroblasts through MAPK mediated oxidative stress signaling pathway
Yiran WANG ; Shijie ZHANG ; Yubo GUAN ; Miaomiao LI ; Ruyi CAI ; Qi WU
Acta Universitatis Medicinalis Anhui 2024;59(5):820-825
Objective To investigate the mechanism by which Erastin affects ferroptosis in lung fibroblasts.Meth-ods Mouse lung fibroblasts (C57/B6-L) were treated with varying concentrations of the iron death inducer Eras-tin.Cell viability was assessed using the cell counting Kit-8 (CCK-8) assay.Oxidative stress levels were visualized using a fluorescence microscope, and the expression of proteins related to the mitogen-activated protein kinase (MAPK) signaling pathway was analyzed using Western blot.Additionally, the p38 and extracellular regulated protein kinase (ERK) inhibitors SB203580 and U0126 were employed to further elucidate the mechanism by which Erastin induces iron death in lung fibroblasts.Results At a concentration of 100 μmol/L, Erastin effectively in-duced ferroptosis in lung fibroblasts, leading to an upregulation of oxidative stress.Furthermore, the phosphoryla-tion levels of p38 and ERK proteins in the MAPK pathway were elevated (P<0.05) .The addition of SB203580 and U0126 inhibitors resulted in a significant reduction in oxidative stress levels and a notable increased in cell ac-tivity in lung fibroblasts (P<0.05).Conclusion It can be concluded that Erastin induces ferroptosis in lung fi-broblasts, potentially through the mediation of oxidative stress via the MAPK signaling pathway.
5.Application of injectable platelet-rich fibrin in the treatment of temporomandibular joint disorders
Ruyi CHEN ; Ruoyan ZHANG ; Jun WANG
Chinese Journal of Plastic Surgery 2024;40(8):924-928
Chronic temporomandibular joint disorders(TMD)patients usually suffer from persistent pain and physical, behavioral, psychological, and social symptoms. Effective control and treatment method are needed to restore their jaw function and manage pain. With the concept of biosupplementation proposed, plasma matrix products have gradually become popular in articular disease treatment and have become one of the core method of regenerative therapy. This paper mainly introduces the application characteristics and action mechanism of injectable platelet-rich plasma fibrin. It analyzes several research reports on the effect of injectable platelet-rich fibrin on pain control, mouth opening improvement and joint morphology restoration in TMD patients. It proposes that differences exist in current clinical trials such as different centrifugation schemes for plasma matrix products, injection times, and disease classification selection, providing a reference for the research and application of injectable platelet-rich fibrin in the treatment of TMD.
6.Application of injectable platelet-rich fibrin in the treatment of temporomandibular joint disorders
Ruyi CHEN ; Ruoyan ZHANG ; Jun WANG
Chinese Journal of Plastic Surgery 2024;40(8):924-928
Chronic temporomandibular joint disorders(TMD)patients usually suffer from persistent pain and physical, behavioral, psychological, and social symptoms. Effective control and treatment method are needed to restore their jaw function and manage pain. With the concept of biosupplementation proposed, plasma matrix products have gradually become popular in articular disease treatment and have become one of the core method of regenerative therapy. This paper mainly introduces the application characteristics and action mechanism of injectable platelet-rich plasma fibrin. It analyzes several research reports on the effect of injectable platelet-rich fibrin on pain control, mouth opening improvement and joint morphology restoration in TMD patients. It proposes that differences exist in current clinical trials such as different centrifugation schemes for plasma matrix products, injection times, and disease classification selection, providing a reference for the research and application of injectable platelet-rich fibrin in the treatment of TMD.
7.Prognostic value of CAR combined with CPR duration in patients with cardiac arrest
Yan ZHOU ; Chao LAN ; Ruyi LEI ; Qiang ZHANG ; Qing LYU ; Tangjuan ZHANG ; Xinya JIA ; Renjie LI
Chinese Journal of Emergency Medicine 2024;33(7):955-962
Objective:Explore the predictive value of the C-reactive protein to albumin ratio (CAR) and combined indicators for the prognosis of cardiac arrest (CA) patients.Methods:Retrospective analysis was conducted on patients who recovered spontaneous circulation after cardiopulmonary resuscitation (CPR) admitted to the First Affiliated Hospital of Zhengzhou University from January 2021 to May 2023. Patients were divided into survival and non-survival groups based on their status at discharge. Baseline characteristics, CPR data, and laboratory indicators were compared between the two groups. Statistically significant indicators were further analyzed using multivariate logistic regression to identify independent risk factors affecting the prognosis of CA patients. Receiver operating characteristic (ROC) curves were constructed to assess the predictive value of each independent factor and combined indicators for the prognosis of CA patients.Results:A total of 145 patients were included in the study, including 33 patients in the survival group and 112 patients in the non-survival group. There were statistically significant differences between the survival group and the non-survival group in terms of CPR duration, the dosage of vasopressor drugs used, ICU length of stay, Acute Physiology and Chronic Health EvaluationⅡ (APACHEⅡ) score at ICU admission, lactate, fibrinogen, aspartate aminotransferase, albumin, procalcitonin, C-reactive protein, CAR, myoglobin, and creatine kinase isoenzyme (all P < 0.05). Multivariate logistic regression analysis revealed that CAR and CPR duration were independent risk factors affecting the prognosis of CA patients (CAR: OR=2.372, 95% CI: 1.094~5.146, P=0.029; CPR duration: OR=1.170, 95% CI: 1.020~1.342, P=0.025). ROC curve analysis showed that the areas under the curve for CAR, CPR duration, and their combination in predicting patient prognosis were 0.792, 0.731, and 0.859, respectively. The cut-off values for CAR and CPR duration were 1.455 and 11.5 minutes, respectively. Conclusions:The CAR and CPR duration are independent risk factors affecting the prognosis of CA patients, and the predictive value is higher when both CAR and CPR duration are combined. A CAR greater than 1.455 and a CPR duration longer than 11.5 minutes suggest a poorer prognosis for the patients.
8.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
9.Changing distribution and resistance profiles of common pathogens isolated from urine in the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Yanming LI ; Mingxiang ZOU ; Wen'en LIU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):287-299
Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8%(62 219/261 893),and gram-negative bacteria 76.2%(199 674/261 893).The most common species were E.coli(46.7%),E.faecium(10.4%),K.pneumoniae(9.8%),E.faecalis(8.7%),P.mirabilis(3.5%),P.aeruginosa(3.4%),SS.agalactiae(2.6%),and E.cloacae(2.1%).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2%,52.8%and 37.0%,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7%,18.5%,16.4%,and 40.3%,respectively.Lower than 10%of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90%of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was<2%.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.
10.Changing resistance profiles of Enterococcus in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Na CHEN ; Ping JI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2024;24(3):300-308
Objective To understand the distribution and changing resistance profiles of clinical isolates of Enterococcus in hospitals across China from 2015 to 2021.Methods Antimicrobial susceptibility testing was conducted for the clinical isolates of Enterococcus according to the unified protocol of CHINET program by automated systems,Kirby-Bauer method,or E-test strip.The results were interpreted according to the Clinical & Laboratory Standards Institute(CLSI)breakpoints in 2021.WHONET 5.6 software was used for statistical analysis.Results A total of 124 565 strains of Enterococcus were isolated during the 7-year period,mainly including Enterococcus faecalis(50.7%)and Enterococcus faecalis(41.5%).The strains were mainly isolated from urinary tract specimens(46.9%±2.6%),and primarily from the patients in the department of internal medicine,surgery and ICU.E.faecium and E.faecalis strains showed low level resistance rate to vancomycin,teicoplanin and linezolid(≤3.6%).The prevalence of vancomycin-resistant E.faecalis and E.faecium was 0.1%and 1.3%,respectively.The prevalence of linezolid-resistant E.faecalis increased from 0.7%in 2015 to 3.4%in 2021,while the prevalence of linezolid-resistant E.faecium was 0.3%.Conclusions The clinical isolates of Enterococcus were still highly susceptible to vancomycin,teicoplanin,and linezolid,evidenced by a low resistance rate.However,the prevalence of linezolid-resistant E.faecalis was increasing during the 7-year period.It is necessary to strengthen antimicrobial resistance surveillance to effectively identify the emergence of antibiotic-resistant bacteria and curb the spread of resistant pathogens.


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