1.Construction of An Automated Segmentation Visual Foundation Model for Pathological Images of Hemorrhoids and Its Application in Traditional Chinese Medicine Clinical Syndrome Analysis
Shijie ZHANG ; Ao ZHANG ; Kang WANG ; Bin KANG ; Xiaofan YU ; Xujing FENG ; Jinyu CAO ; Wenzhen HUANG ; Kang DING
Journal of Traditional Chinese Medicine 2026;67(7):764-769
This paper proposes a two-stage method integrating visual foundation models (VFM) and diffusion models. The segment anything model (SAM) as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema, inflammation, and thrombus regions in histopathological images of hemorrhoidal tissue, providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine (TCM) syndrome research. Trained and validated on multi-center retrospective data, the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union (mIoU) of 66.81% on an independent test set, significantly outperfor-ming comparative models such as U-Net, MixU-Net, and SAM-Med2D, and also demonstrating robust cross-center generalization capability. Furthermore, by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types, the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types, suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.
2.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
3.Construction and Application of a Real-World Cohort of Community-Acquired Pneumonia Based on a Multimodal Large-Scale Traditional Chinese Medicine Big Data Platform
Zhichao WANG ; Xianmei ZHOU ; Fanchao FENG ; Mengqi WANG ; Xin WANG ; Bin KANG ; Xiaofan YU ; Xiaoxiao WANG ; Lei XIAO ; Juan LI ; Zhichao ZHANG ; Ye MA ; Yeqing JI ; Xin TONG ; Zhuoyue WU ; Jia LIU
Journal of Traditional Chinese Medicine 2026;67(9):961-965
This paper introduces a real-world cohort research model for community-acquired pneumonia (CAP) based on the Jiangsu Traditional Chinese Medicine (TCM) Dominant Diseases Diagnosis and Treatment Data Platform. Firstly, data cleaning is performed by standardizing diagnosis, symptoms, treatment and imaging, intelligently extracting unstructured information, and cleaning and constructing a standardized database. Secondly, for cohort establishment, CAP patients across the province are screened in accordance with CAP diagnostic criteria to build a high-quality disease-specific cohort. Lastly, in terms of protocol design, the characteristics of TCM research and the CAP disease profile are considered to determine appropriate inclusion and exclusion criteria, estimate sample size, define interventions, outcomes and economic evaluations, providing a reference for real-world TCM research on CAP.
4.Effect of Video-based Educational Intervention Combined with Maternal Presence on Perioperative Adverse Outcomes in Preschool Children under General Anesthesia
Jiayu TAN ; Fengqiu GONG ; Wenqi HUANG ; Xia FENG ; Qiongfang ZHU ; Yubo KANG ; Wenyan WU ; Xiuhong LI
Journal of Sun Yat-sen University(Medical Sciences) 2025;46(3):519-527
ObjectiveTo investigate the effect of video-based educational intervention combined with maternal presence on perioperative adverse outcomes in preschool children undergoing general anesthesia, including cooperation in anesthesia induction, perioperative anxiety, pain and agitation during recovery. MethodsA total of 300 preschool children scheduled for general anesthesia in our hospital from June to December 2023 were randomly assigned to control group (n=150) and intervention group (n=150). The control group received routine recovery care. For the intervention group, in addition to routine recovery care, a preoperative visit was scheduled one day before surgery. During this visit, mothers were guided to watch anesthesia videos with their children. During the waiting period in the operating room and 30 minutes after awakening, the mothers were guided to accompany the children for more than 30 minutes. Recovery conditions were recorded using the surgical anesthesia information system, and the children’s anesthetic induction compliance, perioperative anxiety, pain, and agitation were evaluated and recorded using the modified Yale Preoperative Anxiety Scale (m-YPAS), the Induction Compliance Scale (ICC), the Children’s Pain Behavior Scale (FLACC), and the Pediatric Agitation and Emergence Delirium Scale (PAED). ResultsOn the preoperative visit day, there were no statistically significant differences in baseline data between the two groups (P > 0.05). For perioperative anxiety, the m-YPAS scores of the intervention group were significantly lower than those of the control group, both when entering the operating room waiting area (35.27±6.48 vs. 41.79±6.68, P < 0.05) and 30 minutes after postoperative recovery (20.13±7.05 vs. 35.75±9.51, P < 0.05). In terms of anesthesia induction cooperation, the ICC scores of the intervention group were significantly lower than those of the control group (1.84±0.95 vs. 3.17±0.62, P < 0.05), and the proportion of good induction cooperation was significantly higher than that of the control group (24.00% vs. 12.67%, P < 0.05). There was no significant difference in awakening duration between the two groups, but the intervention group had a significantly shorter length of stay in the post-anesthesia care unit than the control group (0.90±0.29 hours vs. 1.29±0.42 hours, P < 0.001). For perioperative agitation, the PAED scores of the intervention group were significantly lower than those of the control group (entering in the operating room waiting area: 8.5 vs. 9.2, P < 0.05; 30 minutes after postoperative recovery: 4.2 vs. 7.8, P < 0.05). In terms of pain scores, the FLACC scores of the intervention group were also significantly lower than those of the control group, both when entering the operating room waiting area ( 5.3 vs. 6.7, P < 0.05; 30 minutes after postoperative recovery: 2.1 vs. 4.9, P < 0.05). ConclusionsVideo-based educational intervention combined with maternal presence reduces the perioperative anxiety, pain and agitation of preschool children undergoing general anesthesia, and improved the compliance of anesthesia induction. It is recommended to promote this intervention measure in clinical practice.
5.Observation on brain development of 0-6 years healthy children based on structural MRI
Wei YU ; Feng YANG ; Kang YANG ; Zhangzhi FENG ; Ming YANG
Chinese Journal of Medical Imaging Technology 2025;41(2):234-238
Objective To observe brain development of 0-6 years healthy children based on 3D-structural MRI(sMRI).Methods Brain 3D-sMRI T1WI of 228 healthy children aged 0-6 years were retrospectively analyzed.The absolute volume of total brain volume(TBV),white matter volume(WMV),total gray matter volume(tGMV),cortical gray matter volume(GMV)and subcortical gray matter volume(sGMV),as well as standardized values of the above indexes except for TBV were obtained,and the cortical surface area and thickness were measured.The changes of above parameters in different ages were analyzed.Results During 0-5 years,TBV and the absolute volume of WMV,tGMV,GMV and sGMV increased(all P<0.05)with gradually slowed down speed,while during 5-6 years,no significant increase of the above parameters was noticed(all P>0.05).During 0-1 year,standardized WMV and sGMV decreased,then the former gradually increased during 1-4 years(all P<0.05),while the latter did not change significantly(all P>0.05),and no significant change of standardized WMV nor sGMV were found during 4-6 years(all P>0.05).During 0-1 year,both standardized tGMV and GMV increased,while during 1-6 years,except for significant decrease in standardized tGMV during 3-4 years(P<0.05),other parameters remained relatively stable(all P>0.05).Cerebral cortex surface area increased during 0-5 years(all P<0.05),especially during 0-3 years,which did not obviously enlarge during 5-6 years old(P>0.05).Cerebral cortex thickness increased rapidly during 0-1 year and reached peak at about 1.5 years,then presented slow fluctuations without significant changes(all P>0.05).Conclusion Brain development of 0-6 years healthy children had certain characteristics.
6.Chinese experts' consensus on principles of preoperative hair removal
Yiping MAO ; Jun ZHENG ; Lei LI ; Deyan YANG ; Bing ZHANG ; Lei YANG ; Wang JIA ; Peng KANG ; Hui JIAO ; Yun YANG ; Qi QI ; Shiqing FENG ; Xiao LONG ; Yuewei ZHANG ; Xiaohui WANG ; Lize WANG ; Yuan WEI ; Jichao ZHOU ; Minghui MAO ; Pengju XIN ; Hongyu TAN ; Dahong ZHANG ; Lianxin LIU ; Lei TAO ; Xietong WANG ; Xiaoning YUAN ; Mang CAI ; Li MU ; Fang DU ; Rongzhu CHEN ; Fengmao ZHAO ; Jiuzuo HUANG ; Mingzi ZHANG ; Jie ZHANG ; Baoguo WANG ; Kun WANG ; Fang LUO ; Jinhua ZHANG ; Nong HE ; Ling LYU ; Zhiyong ZONG
Chinese Journal of Nosocomiology 2025;35(10):1441-1449
To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.
7.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
8.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; 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 ; 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 ; Wenhui HUANG ; 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 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
9.Clinical characteristics and prognosis of perioperative myocardial injury after non-cardiac surgery in intensive care unit patients
Shi-hong XIA ; Xue-li MA ; Guo-feng SHEN ; Li-jing JIANG ; Kang-yi LIU ; Wei-yi TANG ; Jin-di NI ; Xiang LI
Fudan University Journal of Medical Sciences 2025;52(3):424-428,445
Objective To retrospectively analyze the clinical risk factors and prognosis of perioperative myocardial injury(MINS)in non-cardiac surgery patients admitted to the intensive care unit(ICU).Methods A total of 478 postoperative patients admitted to the Department of Intensive Medicine,Minhang Hospital,Fudan University from Jan 2020 to Dec 2023 were selected.They were divided into MINS group(n=302)and normal group(n=176)based on whether myocardial injury occurred within 7 days after surgery.The differences in clinical characteristics between the two groups were compared,and risk factors for perioperative myocardial injury were identified.Risk factors for mortality in the MINS group were analyzed with 30-day mortality as the clinical endpoint.Results The prevalence of acute physiology and chronic health evaluation Ⅱ(Apache Ⅱ)score,coronary artery disease,and chronic kidney disease were all higher in the MINS group than those in the normal group,with statistically significant differences(P<0.05).The proportion of emergency surgeries,co-infection,and perioperative hypotension were significantly different between the MINS group and the normal group(P<0.05).Multivariate logistic regression analysis revealed that chronic kidney disease,emergency surgery,co-infection,and intraoperative and postoperative hypotension were risk factors for MINS occurrence.Prognostic analysis indicated that perioperative hypotension was a risk factor for 30-day mortality in MINS patients.Conclusion MINS is closely associated with patients'underlying conditions,timing of surgery,and perioperative hypotension status,and especially perioperative hypotension affects the final outcomes.
10.Correlation analysis between hair fluorine level and hypertension of permanent residents in high altitude areas of Tibet Autonomous Region
Xingmin LIU ; Lijun LIU ; Zhiying ZHANG ; Jing WANG ; Siwei FENG ; Haoshuang ZHAN ; Lifeng MA ; Longli KANG
Chinese Journal of Endemiology 2025;44(1):1-5
Objective:To study the correlation between hair fluorine level and hypertension of permanent residents in high altitude areas of Tibet Autonomous Region (Tibet).Methods:A random cluster sampling method was used to select 5 villages in the high altitude areas of Tibet from June to August 2021 and June to August 2022, respectively, and questionnaire survey, physical examination, and biochemical indicator testing were conducted on permanent Tibetan residents in the above mentioned villages. At the same time, hair samples were collected, the hair fluorine level was determined by ion selective electrode method, and the correlation between various indicators and hair fluorine level and hypertension was analyzed.Results:A total of 227 individuals were included, with hair fluorine level of (15.06 ± 0.16) mg/kg. Correlation analysis showed that there was no correlation between the study subjects' systolic blood pressure, diastolic blood pressure, body mass index, pulse, neck circumference, chest circumference, uric acid level and hair fluorine level ( P > 0.05). Abdominal circumference, hip circumference, and hemoglobin level were positively correlated with hair fluorine level ( r = 0.23, 0.14, 0.29, P < 0.05), while blood glucose level and finger pulse oxygen were negatively correlated with hair fluorine level ( r = - 0.23, - 0.24, P < 0.001). Binary logistic regression analysis showed that age ( OR = 1.04, 95% CI: 1.01 - 1.06), chest circumference ( OR = 1.10, 95% CI: 1.01 - 1.20), and hair fluorine level ( OR = 1.22, 95% CI: 1.02 - 1.46) had an impact on hypertension ( P < 0.05). Conclusion:There is a certain correlation between hair fluoride level and hypertension in the population of high altitude areas in Tibet.

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