1.Complications among patients undergoing orthopedic surgery after infection with the SARS-CoV-2 Omicron strain and a preliminary nomogram for predicting patient outcomes.
Liang ZHANG ; Wen-Long GOU ; Ke-Yu LUO ; Jun ZHU ; Yi-Bo GAN ; Xiang YIN ; Jun-Gang PU ; Huai-Jian JIN ; Xian-Qing ZHANG ; Wan-Fei WU ; Zi-Ming WANG ; Yao-Yao LIU ; Yang LI ; Peng LIU
Chinese Journal of Traumatology 2025;28(6):445-453
PURPOSE:
The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery.
METHODS:
A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications.
RESULTS:
In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram.
CONCLUSION
Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans
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COVID-19/complications*
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Male
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Female
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Middle Aged
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Postoperative Complications/epidemiology*
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SARS-CoV-2
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Orthopedic Procedures/adverse effects*
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Aged
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Nomograms
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Adult
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Retrospective Studies
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Risk Factors
2.Laboratory Diagnosis and Molecular Epidemiological Characterization of the First Imported Case of Lassa Fever in China.
Yu Liang FENG ; Wei LI ; Ming Feng JIANG ; Hong Rong ZHONG ; Wei WU ; Lyu Bo TIAN ; Guo CHEN ; Zhen Hua CHEN ; Can LUO ; Rong Mei YUAN ; Xing Yu ZHOU ; Jian Dong LI ; Xiao Rong YANG ; Ming PAN
Biomedical and Environmental Sciences 2025;38(3):279-289
OBJECTIVE:
This study reports the first imported case of Lassa fever (LF) in China. Laboratory detection and molecular epidemiological analysis of the Lassa virus (LASV) from this case offer valuable insights for the prevention and control of LF.
METHODS:
Samples of cerebrospinal fluid (CSF), blood, urine, saliva, and environmental materials were collected from the patient and their close contacts for LASV nucleotide detection. Whole-genome sequencing was performed on positive samples to analyze the genetic characteristics of the virus.
RESULTS:
LASV was detected in the patient's CSF, blood, and urine, while all samples from close contacts and the environment tested negative. The virus belongs to the lineage IV strain and shares the highest homology with strains from Sierra Leone. The variability in the glycoprotein complex (GPC) among different strains ranged from 3.9% to 15.1%, higher than previously reported for the seven known lineages. Amino acid mutation analysis revealed multiple mutations within the GPC immunogenic epitopes, increasing strain diversity and potentially impacting immune response.
CONCLUSION
The case was confirmed through nucleotide detection, with no evidence of secondary transmission or viral spread. The LASV strain identified belongs to lineage IV, with broader GPC variability than previously reported. Mutations in the immune-related sites of GPC may affect immune responses, necessitating heightened vigilance regarding the virus.
Humans
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China/epidemiology*
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Genome, Viral
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Lassa Fever/virology*
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Lassa virus/classification*
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Molecular Epidemiology
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Phylogeny
3.Sirtuin 3 Attenuates Acute Lung Injury by Decreasing Ferroptosis and Inflammation through Inhibiting Aerobic Glycolysis.
Ke Wei QIN ; Qing Qing JI ; Wei Jun LUO ; Wen Qian LI ; Bing Bing HAO ; Hai Yan ZHENG ; Chao Feng HAN ; Jian LOU ; Li Ming ZHAO ; Xing Ying HE
Biomedical and Environmental Sciences 2025;38(9):1161-1167
4.miR-375 Attenuates The Migration and Invasion of Osteosarcoma Cells by Targeting MMP13
Zhong LIU ; Lei HE ; Jian XIAO ; Qing-Mei ZHU ; Jun XIAO ; Yong-Ming YANG ; Yong-Jian LUO ; Zhong-Cheng MO ; Yi-Qun ZHANG ; Ming LI
Progress in Biochemistry and Biophysics 2024;51(5):1203-1214
ObjectiveTo explore whether miR-375 regulates the malignant characteristics of osteosarcoma (OS) by influencing the expression of MMP13. MethodsPlasmid DNAs and miRNAs were transfected into OS cells and HEK293 cells using Lipofectamine 3000 reagent. Real-time quantitative polymerase chain reaction was performed to measure the expression of miR-375 and MMP13 in OS patients and OS cells. Western blot was performed to analyze the MMP13 protein in the patients with OS and OS cells. The targeting relationship between miR-375 and MMP13 was analyzed by luciferase assay. Migration and invasion were analysed by heal wound and transwell assays, respectively. ResultsmiR-375 expression in OS tissues was lower than that in normal tissues. The expression of MMP13 was upregulated in OS tissues. MMP13 expression was negatively correlated withmiR-375 expression in patients with OS. Migration and invasion were significantly inhibited in OS cells with the miR-375 mimic compared with OS cells with the miRNA control. MMP13 partially reversed the inhibition of migration and invasion induced by miR-375 in the OS cells. ConclusionmiR-375 attenuates migration and invasion by downregulating the expression of MMP13 in OS cells.
5.Effect of transanal mucosal flap displacement and transanal intersphincterotomy on the treatment of complex anal fistulas and their influence on the pressure of anorectal canal
Jian XIONG ; Huahui XIE ; Wentao HE ; Mingkun LI ; Ming SHEN ; Renhao ZHANG ; Tianfeng NIU ; JING LUO
Journal of Clinical Surgery 2024;32(1):62-66
Objective To explore the effect of Endoanal advancement flap(ERAF)and transanal opening of interphincteric space(TROPIS)in the treatment of complex anal fistula and their impact on anorectal pressure,so as to provide a reference for clinical selection of surgical methods.Methods Eighty-four patients with complex anal fistula admitted from October 2018 to October 2022 were divided into group E received ERAF treatment(n=48)and group T received TROPIS treatment(n=36).The clinical efficacy,operation,wound surface and anorectal pressure of the two groups were compared.Results The effective rate of treatment in Group T was 97.22%,which was higher than that in Group E(87.50%),with no statistically significant difference(P>0.05).The surgical time[(31.53 ±7.29)minutes],intraoperative bleeding volume[(29.56±7.37)ml],and wound area[(10.03± 0.96)cm2,(8.76±0.87)cm2,(6.20±0.77)cm2]on the day of surgery,7 and 14 days after surgery in Group T were all smaller than those in Group E[(35.36±8.54)min,(36.86±8.04)ml,(12.09± 1.23)cm2,(10.52±1.09)cm2 and(7.36±0.85)cm2](P<0.05).After surgery,the VAS score and Wexner incontinence score of Group T were(1.38±0.27)and(0.21±0.08),respectively.Group E was(1.56±0.29)and(0.33±0.09),respectively.In group T,the anorectal systolic pressure at 20 mm and 30 mm and the anorectal resting pressure at 20 mm and 30 mm were(138.18±29.58)mmHg,(136.22±35.41)mmHg,(35.47±6.58)mmHg,and(32.97±8.01)mmHg,respectively.In Group E,the data was(152.78±31.53)mmHg,(156.29±32.74)mmHg,(38.29±7.62)mmHg and(36.41±7.63)mmHg,respectively.Both groups showed a decrease in score and anorectal pressure,and group T was lower than group E(P<0.05).The incidence of adverse reactions in Group E was 20.83%,which was higher than that in Group T(11.11%),but the difference was not statistically significant(P>0.05).Conclusion TROPIS has a better effect in the treatment of complex anal fistula,which can shorten the operation time,reduce intraoperative bleeding,reduce postoperative pain,and protect anal function.
6.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.
7.Clinical study of constructing nomogram model based on multi-dimensional clinical indicators to predict prognosis of knee osteoarthritis
Xin WANG ; Cong-Jun YE ; Zhen-Zhong DENG ; Yan XUE ; Chen-Hui WEI ; Qing-Biao LI ; Yang-Ming LUO ; Jian-Zhong GAN
China Journal of Orthopaedics and Traumatology 2024;37(2):184-190
Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95%CI(0.742,0.866)]and 0.786[(95%CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31%,the clinical benefit rates of the experimental cohort and validation cohort were 51%and 56%,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.
8.Current situation of clean operating rooms in Guangdong provincial hospitals of traditional Chinese medicine or integrated Chinese and western medicine
Wen-Hui LI ; Cai-Juan LUO ; Hao HE ; Yan-Ming WU ; Jian-Yi LAI
Chinese Medical Equipment Journal 2024;45(10):77-83
Objective To explore the current situation of the clean operating rooms in Guangdong provincial hospitals of traditional Chinese medicine or integrated Chinese and western medicine to provide references for standardizing the construc-tion of the clean operating room.Methods A questionnaire was designed according to GB 50333-2013 Architectural technical code for hospital clean operating department and WS/T 368-2012 Management specification of air cleaning technique in hospitals,and a questionnaire survey and field investigation were conducted from March to October 2021 on the operating rooms of 64 secondary and above hospitals of traditional Chinese medicine or integrated Chinese and western medicine in Guangdong province,which involved in the basic situation of the operating rooms,general requirements for constructing clean operating rooms,requirements for the layout of clean operating rooms and architectural decorations of the clean operating rooms.Results Of the 64 hospitals surveyed there were 51 ones(79.7%)with clean operating rooms.Tertiary hospitals were mainly equipped with Class Ⅲ clean operating rooms(45.8%),secondary hospitals were provided with general operating rooms(35.0%)and Class Ⅲ clean operating rooms(29.2%),and the differences in the types and classes of the operating rooms in levels of hospitals were statistically significant(P<0.001).The proportions of tertiary hospitals configured with clean operating rooms and the highest configuration of Class I clean operating rooms were also significantly higher than those of secondary hospitals(94.3%vs 62.1%and 88.6%vs 44.8%,respectively),with statistically significant differences(P<0.05).There were 66.7%hospitals equipped with negative pressure operating rooms;more than 1/2(56.9%)of the hospitals had the service time of their clean operating rooms longer than 10 years.All the tertiary hospitals did not have air shower rooms in their walkways,while 16.7%secondary hospitals did,with the difference being statistically significant(P<0.05).Most of the building decorations of clean operating rooms in all the hospitals complied with the specifications(compliance rate>80.0%),and the difference was not statistically significant between the secondary and tertiary hospitals(P>0.05);the compliance rate of the decrations of the tertiary hospitals was 78.8%for the requirements of general principle,which was obviously lower than that of the secondary hospitals(100%),with the differences being statistically significant(P<0.05).Conclusion The clean operating rooms in Guangdong provincial hospitals of traditional Chinese medicine or integrated Chinese and western medicine behave well in configuration,while have some defficiencies in general requirements,layout and building,and necessary guidance,supervision and management have to be involved in to standardize the construction of clean operating rooms.[Chinese Medical Equipment Journal,2024,45(10):77-83]
9.Research Path and Paradigm of Digitization and Intelligentization of Ancient TCM Books Based on the Deep Integration of Knowledge Element Theory and Clinical Needs
Feng YANG ; Yi ZHANG ; Xiaohua TAO ; Jianfeng LI ; Tao LUO ; Jingling CHANG ; Jian CHEN ; Liyun CHEN ; Ming DAI ; Fenglan WANG ; Xiang LU
Journal of Traditional Chinese Medicine 2024;65(12):1201-1207
With the rapid development of information technology, research on ancient TCM books has shifted from the traditional collation and digitization into intelligent knowledge service, thereby achieving the deep integration of ancient TCM books collation and clinical needs. Based on the clinical problem and knowledge element theory, we implemented in-depth indexing and knowledge mining for 600 kinds of ancient TCM books, built a knowledge sharing service platform for ancient TCM books by integrating database, cloud platform, knowledge graph and other technologies, and carried out the thematic literature research and developed databases for four major diseases including stroke, heart failure, liver cirrhosis, and diabetes. The digital intelligence products have been applied in hundreds of hospitals for evaluation and feedback. Finally, through "digital processing plus intelligent application", the two-way interaction between ancient TCM books and current clinical practice is realized, and the path and paradigm of ancient TCM books knowledge serving the modern prevention and control of major diseases is formed, providing reference for the innovative utilization of ancient TCM books.
10.Rapid non-destructive detection technology for traditional Chinese medicine preparations based on machine learning: a review.
Xin-Hao WAN ; Qing TAO ; Zi-Qian WANG ; Dong-Yin YANG ; Zhi-Jian ZHONG ; Xiao-Rong LUO ; Ming YANG ; Xue-Cheng WANG ; Zhen-Feng WU
China Journal of Chinese Materia Medica 2024;49(24):6541-6548
In recent years, with the increasing societal focus on drug quality and safety, quality issues have become a major challenge faced by the pharmaceutical industry, directly impacting consumer health and market trust. By combining multispectral imaging technology with machine learning, it is possible to achieve rapid, non-destructive, and precise detection of traditional Chinese medicine(TCM) preparations, thereby revolutionizing traditional detection methods and developing more convenient and automated solutions. This paper provides a comprehensive review of the current applications of rapid, non-destructive detection techniques based on machine learning algorithms in the field of TCM preparations. It analyzed the principles and advantages of commonly used rapid, non-destructive detection techniques, offering a reference for the application and promotion of these technologies in TCM preparation detection. Additionally, this paper explored various data preprocessing techniques, operational processes, and machine learning algorithms to enhance data utilization efficiency. Finally, it focused on the challenges of applying machine learning in TCM preparation detection and offered corresponding recommendations, providing guidance for the future integration of machine learning with rapid, non-destructive detection techniques in practical production.
Machine Learning
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Drugs, Chinese Herbal/analysis*
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Medicine, Chinese Traditional/methods*
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Humans
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Quality Control

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