1.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
2.Effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis:machine learning and 16S rDNA analysis
Fucheng GU ; Meixin YANG ; Weixin WU ; Weijun CAI ; Yangyi QIN ; Mingyi SUN ; Jian SUN ; Qiudong GENG ; Nan LI
Chinese Journal of Tissue Engineering Research 2026;30(4):1058-1072
BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P<0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P<0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P<0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.
3.Chinese expert consensus on the clinical application of recombinant human thyroid-stimulating hormone (2025 edition)
Chentian SHEN ; Yushen GU ; Hui TAN ; Anren KUANG ; Sijin LI ; Yaming LI ; Jing WANG ; Ningyi JIANG ; Jian TAN ; Zhuoying WANG ; Shaoyan LIU ; Xiaoyi LI ; Jugao FANG ; Dingcun LUO ; Youben FAN ; Hui WANG ; Yuetao WANG ; Xuemei WANG ; Feng WANG ; Wei FU ; Feng SHI ; Xuegong LIU ; Zhongwei LÜ ; Yan XING ; Lin LI ; Hui YANG ; Jun XIN ; Yifan ZHANG ; Yue CHEN ; Yansong LIN ; Wei OUYANG ; Shuzhan YAO ; Changjiu ZHAO ; Xinming ZHAO ; Zairong GAO ; Dingde HUANG ; Qiang WEN ; Xingmin HAN ; Cen LOU ; Weibing MIAO ; Wei FAN ; Quanyong LUO ; Hongcheng SHI
Chinese Journal of Clinical Medicine 2026;33(5):932-944
The recombinant human thyroid-stimulating hormone (rhTSH) can be used for differentiated thyroid cancer (DTC) preparation before 131I therapy, and follow-up. Since its approval by the American Food and Drug Administration (FDA) in 1998, rhTSH has been clinically used in European countries, the United States, and other countries for nearly 30 years. In April 2024, China’s first independently developed rhTSH agent was approved. Based on clinical experience and evidence from domestic and international studies, an expert consensus on the application of rhTSH has been developed following thorough consultations among experts. The consensus offers evidence-based recommendations to guide the appropriate use of rhTSH in clinical practice.
4.Correlation analysis of incidence trends of severe fever with thrombocytopenia syndrome (SFTS) and meteorological factors in Weifang city, Shandong province, 2015-2024
Ziliang FAN ; Xiyuan HUO ; Yaqi SHEN ; Cuimei GU ; Zhu YANG ; Senmei YUAN ; Miaomiao SHAN ; Jian ZHOU ; Ye ZHANG ; Dongying LI
Chinese Journal of Experimental and Clinical Virology 2025;39(2):154-161
Objective:To investigate the potential causes of the rising epidemic of severe fever with thrombocytopenia syndrome (SFTS) in Weifang, Shandong province.Methods:The temporal trend of SFTS epidemic was segmented using Joinpoint regression analysis. Changes in epidemiological characteristics across different periods were compared, and correlation analysis was conducted to identify meteorological factors influencing the epidemic trend.Results:Joinpoint regression revealed two distinct periods for SFTS epidemic in Weifang: 2015-2021 and 2022-2024. No significant trend was observed during 2015-2021 ( P=0.634), while a sharp annual increase of 46.69% occurred from 2022 to 2024 ( P=0.006). Spatial autocorrelation analysis demonstrated a global Moran’s I of 0.42 ( Z=8.55, P<0.001) for 2015-2021, with 15 high-high clustering areas identified. For 2022-2024, the global Moran’s I decreased to 0.37 ( Z=7.31, P<0.001), with 13 high-high clusters, including newly emerging hotspots in Anqiu and Zhucheng in the southeastern region. High-risk populations remained individuals aged ≥50 in mountainous and hilly areas, with a marked rise in incidence in these groups. The male-to-female ratio of cases was higher in plain areas than in mountainous/hilly regions. Autumn (September-November) temperatures from the preceding year showed a positive correlation with annual case numbers ( P=0.004, r=0.82). The linear regression expression is y=40.61x-580.78 (y is the annual incidence, and x is the average daily temperature of last autumn). Conclusions:The SFTS epidemic in Weifang is showing a rising trend. There is a linear correlation between the temperature of the previous autumn and the scale of SFTS epidemic in the following year. This correlation allows for predicting the subsequent year′s epidemic, thereby enabling early warning of SFTS.
5.Cervical perivascular sympathectomy: a clinical review and reflection
Qiushuang LI ; Jian QI ; Liqiang GU
Chinese Journal of Microsurgery 2025;48(3):277-282
Cervical perivascular sympathectomy (CPVS) involves an excision of the sympathetic nerve plexus surrounding the carotid arteries to improve cerebral blood supply and achieves the therapeutic purposes. CPVS has been applied in neurosurgery for treatment of cerebral ischemic diseases such as moyamoya disease (MMD) and cerebral palsy (CP). The mechanism of CPVS is not yet clear, even the efficacy of it has been clinically recognised. This paper summarises comprehensive reviews of the anatomy of cervical sympathetic nerves, historical evolution, current status in application and possible mechanisms of CPVS.
6.Expert Consensus on Optimisation of Emergency Management Procedure for Hand Injury in Microsurgery (2025)
Ziqing ZHANG ; Jianxi HOU ; Kelie WANG ; Jian QI ; Rongfeng ZHANG ; Dong HUANG ; Xiaoju ZHENG ; Muwei LI ; Qiqiang DONG ; Xianyou ZHENG ; Shuqiang XIE ; Qiao HOU ; Gangyi LIU ; Jian LIN ; Jihui JU ; Huaqiao WANG ; Liqiang GU
Chinese Journal of Microsurgery 2025;48(4):361-372
Standardised emergency management protocols for hand injury in microsurgery is critical, as it directly determines ultimate clinical outcomes. This consensus consolidates expert insights regarding diagnostic and treatment procedure for hand injury in microsurgery, emergency support protocols and key points of emergency workflow optimisation. It summarises the opinions of experts and puts forward standardised recommendations to guide clinical practice in microsurgical treatment process, so as to further improve the quality of treatment for hand injury in microsurgery and maximise the protection of limb function and quality of life of patients.
7.Guideline for Adult Weight Management in China
Weiqing WANG ; Qin WAN ; Jianhua MA ; Guang WANG ; Yufan WANG ; Guixia WANG ; Yongquan SHI ; Tingjun YE ; Xiaoguang SHI ; Jian KUANG ; Bo FENG ; Xiuyan FENG ; Guang NING ; Yiming MU ; Hongyu KUANG ; Xiaoping XING ; Chunli PIAO ; Xingbo CHENG ; Zhifeng CHENG ; Yufang BI ; Yan BI ; Wenshan LYU ; Dalong ZHU ; Cuiyan ZHU ; Wei ZHU ; Fei HUA ; Fei XIANG ; Shuang YAN ; Zilin SUN ; Yadong SUN ; Liqin SUN ; Luying SUN ; Li YAN ; Yanbing LI ; Hong LI ; Shu LI ; Ling LI ; Yiming LI ; Chenzhong LI ; Hua YANG ; Jinkui YANG ; Ling YANG ; Ying YANG ; Tao YANG ; Xiao YANG ; Xinhua XIAO ; Dan WU ; Jinsong KUANG ; Lanjie HE ; Wei GU ; Jie SHEN ; Yongfeng SONG ; Qiao ZHANG ; Hong ZHANG ; Yuwei ZHANG ; Junqing ZHANG ; Xianfeng ZHANG ; Miao ZHANG ; Yifei ZHANG ; Yingli LU ; Hong CHEN ; Li CHEN ; Bing CHEN ; Shihong CHEN ; Guiyan CHEN ; Haibing CHEN ; Lei CHEN ; Yanyan CHEN ; Genben CHEN ; Yikun ZHOU ; Xianghai ZHOU ; Qiang ZHOU ; Jiaqiang ZHOU ; Hongting ZHENG ; Zhongyan SHAN ; Jiajun ZHAO ; Dong ZHAO ; Ji HU ; Jiang HU ; Xinguo HOU ; Bimin SHI ; Tianpei HONG ; Mingxia YUAN ; Weibo XIA ; Xuejiang GU ; Yong XU ; Shuguang PANG ; Tianshu GAO ; Zuhua GAO ; Xiaohui GUO ; Hongyi CAO ; Mingfeng CAO ; Xiaopei CAO ; Jing MA ; Bin LU ; Zhen LIANG ; Jun LIANG ; Min LONG ; Yongde PENG ; Jin LU ; Hongyun LU ; Yan LU ; Chunping ZENG ; Binhong WEN ; Xueyong LOU ; Qingbo GUAN ; Lin LIAO ; Xin LIAO ; Ping XIONG ; Yaoming XUE
Chinese Journal of Endocrinology and Metabolism 2025;41(11):891-907
Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.
8.Retrospective analysis of respiratory virus detection methods and epidemiological features in outpatient and emergency departments of Beijing hospitals
Xinlong WANG ; Jiaying ZHANG ; Jun LI ; Jian LIU ; Danying CHEN ; Zhixia GU ; Gang WAN ; Xiaoqin LIU ; Menghan LIU ; Ronghua JIN ; Rui SONG
Chinese Journal of Infectious Diseases 2025;43(10):606-614
Objective:To characterize the epidemiology of respiratory syndrome across healthcare facilities of different types and tiers in Beijing City, to compare pathogen-testing modalities and their associations with adverse outcomes, and to identify key factors associated with progression to severe illness, thereby informing regional prevention, control, and clinical optimization.Methods:The multicenter observational cohort study was performed using outpatient and emergency department data from five sentinel hospitals in Beijing (Beijing Xiaotangshan Hospital, Beijing Chaoyang District Shuangqiao Hospital, Beijing Haidian Hospital, Beijing You′an Hospital, Capital Medical University (Beijing You′an Hospital), and Beijing Ditan Hospital, Capital Medical University (Beijing Ditan Hospital)) from October 1st, 2023 to April 9th, 2025. Dual-target (two-plex) and triple-target (three-plex) respiratory specimens were collected. Demographic characteristics, visit information, pathogen-testing modalities and results were collected, and the epidemiologic features of patients who progressed to severe illness between the influenza high-incidence season (December to May) and the non-influenza season (June to November) were compared. Categorical variables were analyzed using the chi-square test. Multivariable logistic regression was used to estimate associations between covariates and risk of progression to severe illness.Results:Among the 192 131 cases, patients visited at Beijing You′an Hospital were concentrated in the 16 to 44 year age group, accounting for 66.79%(32 532/48 708). Beijing Xiaotangshan Hospital had a broad age distribution, with older adults comprising up to 22.35% (885/3 960). Of the 47 349 respiratory specimens across the five hospitals, Beijing You′an Hospital had the highest positivity rate for dual-target testing (46.76%(1 585/3 390)), while Beijing Haidian Hospital conducted the largest number of this tests ( n=12 514). For triple-target testing, Beijing You′an Hospital again had the highest positivity rate (45.03%(2 835/6 296)), whereas Beijing Ditan Hospital tested the most specimens ( n=12 011; positivity rate was 29.73%(3 571/12 011)). The influenza season within the same period (November 2023 to January 2024) exhibited a bimodal pattern, with alternating circulation of influenza viruses and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Among 32 744 outpatients/emergency patients who progressed to severe illness, significant seasonal differences were observed by sex, age, comorbidity status, and infection type ( χ2=6.60, 189.24, 32.71 and 189.99, respectively; all P<0.05). After adjustment for sex, age group, comorbidities, and infection type, testing modality remained significantly associated with risk of progression (dual-target testing, odds ratio ( OR)=0.116, 95% confidence interval ( CI) 0.111 to 0.122, P<0.001); no testing, OR=0.063, 95% CI 0.060 to 0.065, P<0.001). Conclusions:The epidemiological pattern of respiratory pathogens undergo significant changes after October 2023, which is characterized by alternating waves of influenza viruses and SARS-CoV-2 with pronounced seasonality and diversity. Substantial inter-hospital differences are observed in testing modalities and positivity rates. Risk of progression to severe illness varies significantly by sex, age, comorbidity burden, and infection type, and is closely associated with the testing modality. These findings support strengthening multiplex pathogen testing and targeted surveillance of high-risk groups to improve early identification and precise control of febrile-respiratory syndromes.
9.Application of tumor specific protein 70 targeted enrichment of circulating tumor cell sequencing technology in non-small cell lung cancer
Lixia ZHANG ; Yutong ZHOU ; Shuxian YANG ; Qiong ZHU ; Jian XU ; Yuan MU ; Chunrong GU ; Huanyu JU ; Wei ZHANG ; Shiyang PAN
Chinese Journal of Laboratory Medicine 2025;48(6):737-742
Objective:To establish tumor specific protein (SP70) targeted tumor cell enrichment technology and to assess applicational value of next-generation sequencing (NGS) analysis for enriched circulating tumor cell (CTC) in precision medicines of non-small cell lung cancer (NSCLC).Methods:The monoclonal antibody NJ001 was covalently coupled to the surface of magnetic beads to build targeted magnetic bead enrichment technology based on SP70. The limit of detection, coincidence rate, interference experiment, recovery test and clinical performance were evaluated. From March 2016 to August 2017, NGS analysis with or without pre-treatment of targeted enrichment for serous fluids of 43 NSCLC in the First Affiliated Hospital with Nanjing Medical University were compared (Kappa or Fisher exact test).Results:The CTC enrichment technology based on SP70 targeted immunomagnetic beads can specifically enrich tumor cells. The limit of detection was 10 4 SPC-A1 cells/L, and the coincidence rate, sensitivity and specificity were 100% (3/3). The endogenous interfering substances such as red blood cells, hemoglobin, white blood cells, epithelial cells and triglycerides had no interfering effects, as well as the exogenous interfering substances such as EDTA-K2, cefoxitin, carboplatin and paclitaxel. The recovery rate was 56.0% (56 000/100 000). A total of 30 gene mutations including 65 loci were found in 43 NSCLC under SP70 targeted enrichment, with a higher detection rate compared with unenrichment method [95.0% (19/20) vs 65.0% (13/20), χ 2=5.625, P=0.044]. Conclusion:In this study, SP70-targeted enriched CTC liquid biopsy method was established, with higher sensitivity and specificity of NGS detection than unenrichment method.
10.Catheter-directed thrombolysis for acute entire lower extremity deep venous thrombosis: a comparative study of calf deep vein and contralateral femoral venous access
Jian WANG ; Cheng QIAN ; Guoqing NI ; Maofeng GONG ; Liang LIU ; Peng PENG ; Libing GAO ; Jianping GU ; Guoping CHEN
Chinese Journal of Radiology 2025;59(5):577-585
Objective:To compare the clinical efficacy of catheter-directed thrombolysis (CDT) via the contralateral femoral vein approach (CFVA-CDT) and the calf deep vein approach (CVA-CDT) in the treatment of acute mixed-type lower extremity deep vein thrombosis (DVT).Methods:Patients treated with CFVA-CDT and CVA-CDT for acute mixed-type DVT were retrospectively collected from January 2018 to December 2021, totaling 49 and 32 patients, respectively. The relevant technical indicators, thrombolysis rates in the iliac-femoral vein segment and femoral-popliteal vein segment, clinical efficacy, and the incidence of lower extremity deep vein patency, venous valve insufficiency, and post-thrombotic syndrome (PTS), as well as the severity of chronic venous disease in the affected limb (VCSS score) during a 2-year follow-up period were retrospectively compared between the two venous access CDT groups. The t-test was used for comparing quantitative data, while the chi-square test or Fisher′s exact test was used for categorical data.Results:During CFVA-CDT procedure, 6-8 F vascular sheaths were used, and balloon dilation of 2~6 mm was more frequently employed (65.31%, 32/49) to expand venous stenosis/occlusion segments before successful sheath placement compared to the CVA-CDT group (37.50%, 12/32), and the difference was statistically significant ( P=0.014). In the CVA-CDT group, 31.25% (10/32) of patients had a maximum sheath size of 6 F, while the remainder used 4 or 5 F sheaths. Among them, 34.38% (11/32) of patients required re-puncture of the popliteal or femoral vein for larger sheaths (≥8 F) for thrombus aspiration and subsequent endovascular treatment during or after thrombolysis. The effective thrombolysis rates (≥50%) in the iliac-femoral vein segment were not significantly different between the two groups ( P=0.778). The effective thrombolysis rate of the femoral-popliteal venous segment is related to the presence or absence of popliteal vein opacification on lower extremity venous antegrade venography. There was no significant difference between the groups when the popliteal vein was visualized ( P=1.000). While the popliteal vein was not visualized, the CVA-CDT group (75.0%, 15/20) was significantly better than the CFVA-CDT group (34.38%, 11/32), and the difference was statistically significant ( P=0.004). There was no significant difference in clinical efficacy between the two groups ( P=0.819). During follow-up, the femoral-popliteal vein patency rate in the CVA-CDT group (87.50%, 28/32) was significantly higher than in the CFVA-CDT group (44.90%, 22/49), the difference was statistically significant ( P<0.001). Conclusions:Successful CFVA-CDT requires the assistance of more ancillary devices, while the use of larger sheaths is more limited in CVA-CDT due to the smaller caliber of the calf deep veins. The presence or absence of popliteal vein opacification on lower extremity venous antegrade venography may influence the effective thrombolysis of the femoral-popliteal venous segment thrombus in patients with acute mixed deep vein thrombosis (DVT) treated with CFVA-CDT and CVA-CDT. Compared to CFVA-CDT, CVA-CDT can improve the patency rate of the femoral-popliteal venous segment.

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