1.CURRENT DISTRIBUTION OF AEDES AEGYPTI IN LEIZHOU PENINSULA,ZHANJIANG CITY,GUANGDONG PROVINCE
Rui-Peng LU ; Jin-Hua DUAN ; Yu-Wen ZHONG ; Hui DENG ; Jun WU ; Li-Ping LIU ; Wei-Xiong YIN ; Feng XING ; Hui HUANG ; Chang-Jie FU ; Zong-Jing CHEN ; Ming-Ji CHENG ; Sheng-Jun HU ; Ya-Ting CHEN ; Wen-Ting GUO ; Li-Feng LIN
Acta Parasitologica et Medica Entomologica Sinica 2025;32(1):16-21
Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.
2.Clinical efficacy of bone cement filling combined with lower extremity arterial balloon dilation in the treatment of Wagner Ⅳ grade diabetic foot.
Jia-Min HOU ; Sheng-Gang WU ; Feng WEI ; Xiong-Feng LI
China Journal of Orthopaedics and Traumatology 2025;38(9):955-959
OBJECTIVE:
To explore clinical efficacy of bone cement filling combined with lower extremity arterial balloon dilation in treating Wagner grade Ⅳ diabetic foot (DF).
METHODS:
From January to October 2024, 9 Wagner grade Ⅳ DF patients with lower extremity vascular occlusion were admitted, including 7 males and 2 females, aged from 51 to 87 years old;5 patients on the left side and 4 patients on the right side. All patients were underwent stageⅠdebridement of the affected foot and bone cement filling, and treated with lower extremity arterial balloon dilation after operation, they were. After the formation of the induced membrane, stageⅡwound repair was performed. The wound healing time and condition were observed. Ankle-brachial index (ABI) was used to evaluate the lower extremity vascular perfusion before operation and 3 months after operation, respectively.
RESULTS:
The wounds of all 9 patients healed completely, and the healing time ranged from 45 to 65 days. All patients were followed up for at least 6 months without recurrence. The skin of the affected foot wound healed with keratinization, and there was mild scar hyperplasia locally (1 patient had necrosis of the adjacent toe after stageⅠsurgery and was debridement and toe amputation again). The narrowed or occluded blood vessels of the lower extremities were all recanalized. ABI recovered from 0.3 to 0.5 before operation to 1.0 to 1.1 at 3 months after operation.
CONCLUSION
Bone cement filling combined with lower extremity arterial balloon dilation for the treatment of grade Wagner Ⅳ DF is conducive to promoting healing of the affected foot, effectively preventing secondary ulceration of the affected foot, and clinical therapeutic effect is satisfactory.
Humans
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Male
;
Female
;
Middle Aged
;
Diabetic Foot/surgery*
;
Aged
;
Bone Cements/therapeutic use*
;
Aged, 80 and over
;
Lower Extremity/blood supply*
3.Surgical approaches to varicocele: a systematic review and network meta-analysis.
Lin-Jie LU ; Kai XIONG ; Sheng-Lan YUAN ; Bang-Wei CHE ; Jian-Cheng ZHAI ; Chuan-Chuan WU ; Yang ZHANG ; Hong-Yan ZHANG ; Kai-Fa TANG
Asian Journal of Andrology 2025;27(6):728-737
Surgical methods for varicocele remain controversial. This study intends to evaluate the efficacy and safety of different surgical approaches for treating varicocele through a network meta-analysis (NMA). PubMed, Embase, Cochrane, and Web of Science databases were thoroughly searched. In total, 13 randomized controlled trials (RCTs) and 24 cohort studies were included, covering 9 different surgical methods. Pairwise meta-analysis and NMA were performed by means of random-effects models, and interventions were ranked based on the surface under the cumulative ranking curve (SUCRA). According to the SUCRA, microsurgical subinguinal varicocelectomy (MSV; 91.6%), microsurgical retroperitoneal varicocelectomy (MRV; 78.2%), and microsurgical inguinal varicocelectomy (MIV; 76.7%) demonstrated the highest effectiveness in reducing postoperative recurrence rates. In this study, sclerotherapy embolization (SE; 87.2%), MSV (77.9%), and MIV (67.7%) showed the best results in lowering the risk of hydrocele occurrence. MIV (82.9%), MSV (75.9%), and coil embolization (CE; 58.7%) were notably effective in increasing sperm motility. Moreover, CE (76.7%), subinguinal approach varicocelectomy (SV; 69.2%), and SE (55.7%) were the most effective in increasing sperm count. SE (82.5%), transabdominal laparoscopic varicocelectomy (TLV; 76.5%), and MRV (52.7%) were superior in shortening the length of hospital stay. The incidence rates of adverse events for MRV (0), SE (3.3%), and MIV (4.1%) were notably low. Cluster analyses indicated that MSV was the most effective in the treatment of varicocele. Based on the existing evidence, MSV may represent the optimal choice for varicocele surgery. However, selecting clinical surgical strategies requires consideration of various factors, including patient needs, surgeon experience, and the learning curve.
Humans
;
Male
;
Embolization, Therapeutic/methods*
;
Microsurgery/methods*
;
Randomized Controlled Trials as Topic
;
Sclerotherapy/methods*
;
Treatment Outcome
;
Urologic Surgical Procedures, Male/methods*
;
Varicocele/surgery*
4.Construction of a prediction model for seroma after endoscopic thyroid-ectomy by breast approach
Sheng-fei YANG ; Yun-da ZHANG ; Ming LIU ; Shi-ran QIAN ; Shu-xiong LI ; Man ZHANG ; Meng-ling WEI ; Dong-wei LI
Chinese Journal of Current Advances in General Surgery 2025;28(5):337-342
Objective:To explore the prognostic factors of seroma after endoscopic thyroidectomy by breast ap-proach,and construct a nomogram to predict the possibility of cervical seroma.Methods:Data of patients undergoing endoscopic thyroid surgery in Dongguan Tungwah Hospital from January 2022 to May 2024 and Dongguan Songshan Lake Tungwah Hospital from May 2023 to August 2024 were retrospectively analyzed,and 1493 patients meeting the in-clusion criteria were selected.Among them,there were 1048 patients in Dongguan Tungwah Hospital as the training co-hort,1015 patients without seroma group and 33 patients with seroma group.There were 445 patients in Dongguan Songshan Lake Tungwah Hospital as the verification cohort,including 424 patients without seroma and 21 patients with seroma.Multivariate logistic regression analysis was used to obtain relevant independent prognostic factors,and R soft-ware established a nomogram model.Calibration curves,Hosmer-Lemeshow goodness of fit,ROC curves were used to evaluate the calibrability of the nomogram model,and clinical utility was assessed by clinical decision curves.Results:Multivariate logistic regression analysis showed that central lymph node dissection,diabetes,hyperthyroidism,and nod-ule size were independent prognostic factors related to seroma.Based on the prognostic factors,the nomogram of se-roma after ETBA was constructed.The calibration curves of the training and the verification group were in good agree-ment with the observed results,and the Hosmer-Lemeshow goodness of fit test was good,with the training cohort P=0.244 and the verification cohort P=0.803.The ROC curve of the training cohort showed that the area under the curve was 0.810(95%CI:0.740~0.879),and the ROC curve of the verification cohort showed that the area under the curve was 0.815(95%CI:0.722~0.909).Conclusion:The nomogram model based on the relevant prognostic factors ob-tained by multivariate logistic regression analysis has a good prediction effect on the seroma after ETBA,and can provide reasonable and individualized treatment plan for patients.
5.Construction of a prediction model for seroma after endoscopic thyroid-ectomy by breast approach
Sheng-fei YANG ; Yun-da ZHANG ; Ming LIU ; Shi-ran QIAN ; Shu-xiong LI ; Man ZHANG ; Meng-ling WEI ; Dong-wei LI
Chinese Journal of Current Advances in General Surgery 2025;28(5):337-342
Objective:To explore the prognostic factors of seroma after endoscopic thyroidectomy by breast ap-proach,and construct a nomogram to predict the possibility of cervical seroma.Methods:Data of patients undergoing endoscopic thyroid surgery in Dongguan Tungwah Hospital from January 2022 to May 2024 and Dongguan Songshan Lake Tungwah Hospital from May 2023 to August 2024 were retrospectively analyzed,and 1493 patients meeting the in-clusion criteria were selected.Among them,there were 1048 patients in Dongguan Tungwah Hospital as the training co-hort,1015 patients without seroma group and 33 patients with seroma group.There were 445 patients in Dongguan Songshan Lake Tungwah Hospital as the verification cohort,including 424 patients without seroma and 21 patients with seroma.Multivariate logistic regression analysis was used to obtain relevant independent prognostic factors,and R soft-ware established a nomogram model.Calibration curves,Hosmer-Lemeshow goodness of fit,ROC curves were used to evaluate the calibrability of the nomogram model,and clinical utility was assessed by clinical decision curves.Results:Multivariate logistic regression analysis showed that central lymph node dissection,diabetes,hyperthyroidism,and nod-ule size were independent prognostic factors related to seroma.Based on the prognostic factors,the nomogram of se-roma after ETBA was constructed.The calibration curves of the training and the verification group were in good agree-ment with the observed results,and the Hosmer-Lemeshow goodness of fit test was good,with the training cohort P=0.244 and the verification cohort P=0.803.The ROC curve of the training cohort showed that the area under the curve was 0.810(95%CI:0.740~0.879),and the ROC curve of the verification cohort showed that the area under the curve was 0.815(95%CI:0.722~0.909).Conclusion:The nomogram model based on the relevant prognostic factors ob-tained by multivariate logistic regression analysis has a good prediction effect on the seroma after ETBA,and can provide reasonable and individualized treatment plan for patients.
6.Discussion on the Academic Thoughts of Chinese Medical Master XUAN Guo-Wei in Treating Dermatosis by Harmonizing Therapy for Removing Toxins
Chi LIU ; Sha ZHOU ; Yuan-Sheng WU ; Shu-Qing XIONG ; Yue PEI ; Hong-Yi LI ; Wen-Feng WU ; Da-Can CHEN ; Guo-Wei XUAN
Journal of Guangzhou University of Traditional Chinese Medicine 2024;41(10):2526-2531
The concept of'harmony'is the soul of traditional Chinese culture,which has a profound impact on the formation and development of traditional Chinese medicine(TCM).TCM is rooted in traditional Chinese culture,and the mode of thinking in TCM is in line with traditional Chinese culture.Based on the harmony culture,TCM has developed a unique view of health,disease and therapeutics.From the view of the harmony culture and by combining with years of clinical experience in treating dermatosis,Chinese medical master XUAN Guo-Wei has applied the concept of'harmony'in the TCM syndrome differentiation and treatment system in clinic,and has developed the academic thoughts of harmonizing therapy for removing toxins for the diagnosis and treatment of dermatosis.The thoughts of harmonizing therapy for removing toxins includes four aspects,namely harmonizing yin and yang,harmonizing healthy qi and pathogenic qi,harmonizing water and fire(i.e.,clod and hot),and harmonizing the administration of formula and drugs,aiming to remove toxins and expel pathogens and value the harmony.The thoughts of harmonizing therapy for removing toxins will beneficial to the comprehensive understanding of the unique health-disease-therapeutics concept in TCM,and will be helpful for managing the doctor-patient relationship,which is of enlightening significance to the modern clinical practice with TCM.
7.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
8.Analysis of influencing factors of early femoral head necrosis after femoral neck fracture and construction of nomo-gram prediction model
Zhi-Qiang FU ; Wei WANG ; Fei-Xiong HE ; Sheng-Kun HONG ; Wei-Jun ZHOU
China Journal of Orthopaedics and Traumatology 2024;37(7):694-699
Objective To explore the risk factors of early femoral head necrosis in patients with femoral neck fracture after operation,and to establish a nomogram prediction model.Methods A total of 167 patients with femoral neck fracture from Jan-uary 2020 to April 2022 were selected and divided into necrosis group and non-necrosis group according to whether femoral head necrosis occurred in the early postoperative period.There were 21 males and 17 females in the necrosis group,aged from 33 to 72 years old,with an average of(53.49±10.96)years old,and the time from injury to operation ranged from 40 to 67 hours,with average time of(53.46±7.23)hours.There were 72 males and 57 females in the non-necrosis group,aged from 18 to 83 years,with an average of(52.78±12.55)years old,and the time from injury to operation was 18 to 65 hours,with an aver-age time of(39.88±7.79)hours.The potential influencing factors,including patient gender,diabetes mellitus,hypertension,chronic liver disease,posterior inclination angle of the femoral head,operation mode,fracture displacement,fracture line loca-tion,preoperative braking traction,screw arrangement mode,reduction quality,age,body mass index(BMI),and injury to operation time were subjected to single factor analysis.Logistic multivariate regression analysis was conducted for factors with a significance level of P<0.05.Results The incidence of femoral head necrosis in 167 patients with femoral neck fracture was 22.76%.The following factors were identified as independent risk factors for early postoperative femoral head necrosis in pa-tients with femoral neck fractures:coexisting diabetes[OR=5.139,95%CI(1.405,18.793),P=0.013],displaced fracture[OR=3.723,95%CI(1.105,12.541),P=0.034],preoperative immobilization[OR=3.444,95%CI(1.038,11.427),P=0.043],quality of reduction[OR=3.524,95%CI(1.676,7.411),P=0.001],and time from injury to surgery[OR=1.270,95%CI(1.154,1.399),P=0.000].The Hosmer-Lemeshow goodness-of-fit test(x2=3.951,P=0.862),the area under the receiver operator characteristic(ROC)curve was 0.944[P<0.001,95%CI(0.903,0.987)],with a sensitivity of 89.50%,the specificity was 88.40%,the maxi-mum Youden index was 0.779,and the overall trend of the model correction curve was close to the ideal curve.Model regres-sion equation was Z=1.637 × diabetes+1.314× fracture displacement+1.237 × preoperative braking traction+1.260 × reduc-tion quality+0.239 ×injury to operation time-18.310.Conclusion The occurrence of early femoral head necrosis in patients with femoral neck fracture postoperatively is affected by multiple factors.The risk early warning model established according to the factors has good predictive efficacy.
9.Expert consensus on antiviral therapy of COVID-19
Fujie ZHANG ; Zhuo WANG ; Quanhong WANG ; Qing MAO ; Jinsong BAI ; Hanhui YE ; Jia TIAN ; Tianxin XIANG ; Jihong AN ; Zujiang YU ; Wenjie YANG ; Xingxiang YANG ; Xiaoju ZHANG ; Jie ZHANG ; Lina ZHANG ; Xingwang LI ; Jiabin LI ; Manxiang LI ; Zhiwei LI ; Hourong ZHOU ; Yi SHI ; Xiaoling XU ; Xiaoping TANG ; Hong TANG ; Xixin YAN ; Wenxiang HUANG ; Chaolin HUANG ; Liang DONG ; Baosong XIE ; Jiandong JIANG ; Bin XIONG ; Xuemei WEI ; Jifang SHENG ; Ronghua JIN
Chinese Journal of Clinical Infectious Diseases 2023;16(1):10-20
COVID-19 is caused by a novel coronavirus-severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which has being spreading around the world, posing a serious threat to human health and lives. Neutralizing antibodies and small molecule inhibitors for virus replication cycle are the main antiviral treatment for novel coronavirus recommended in China. To further promote the rational use of antiviral therapy in clinical practice, the National Center for Infectious Diseases (Beijing Ditan Hospital Capital Medical University and the First Affiliated Hospital, Zhejiang University School of Medicine) invited experts in fields of infectious diseases, respiratory and intensive care to develop an Expert Consensus on Antiviral Therapy of COVID-19 based on the Diagnosis and Treatment Guideline for COVID-19 ( trial version 10) and experiences in the diagnosis and treatment of COVID-19 in China. The consensus is concise, practical and highly operable, hopefully it would improve the understanding of antiviral therapy for clinicians and provide suggestions for standardized medication in treatment of COVID-19.
10.Platelet RNA enables accurate detection of ovarian cancer: an intercontinental, biomarker identification study.
Yue GAO ; Chun-Jie LIU ; Hua-Yi LI ; Xiao-Ming XIONG ; Gui-Ling LI ; Sjors G J G IN 'T VELD ; Guang-Yao CAI ; Gui-Yan XIE ; Shao-Qing ZENG ; Yuan WU ; Jian-Hua CHI ; Jia-Hao LIU ; Qiong ZHANG ; Xiao-Fei JIAO ; Lin-Li SHI ; Wan-Rong LU ; Wei-Guo LV ; Xing-Sheng YANG ; Jurgen M J PIEK ; Cornelis D DE KROON ; C A R LOK ; Anna SUPERNAT ; Sylwia ŁAPIŃSKA-SZUMCZYK ; Anna ŁOJKOWSKA ; Anna J ŻACZEK ; Jacek JASSEM ; Bakhos A TANNOUS ; Nik SOL ; Edward POST ; Myron G BEST ; Bei-Hua KONG ; Xing XIE ; Ding MA ; Thomas WURDINGER ; An-Yuan GUO ; Qing-Lei GAO
Protein & Cell 2023;14(6):579-590
Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans
;
Female
;
Blood Platelets/pathology*
;
Biomarkers, Tumor/genetics*
;
Ovarian Neoplasms/pathology*
;
China

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