The 20 th Chinese Conference on Burns and Wound Repair was successfully held in Chengdu, the lotus city from June 12 th to 14 th, 2025. Themed "Interdisciplinary, Cutting-edge Innovation, and Excellence", this conference featured a main venue and five parallel sessions. Over the three-day event, participants engaged in in-depth discussions and exchanges focusing on acute and chronic wound repair, scar prevention and reconstruction, critical burn treatment, rehabilitation, and nursing care. The conference showcased the latest advancements in burn and wound repair medicine, injecting new momentum into the discipline's development.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

In recent years,the prevalence of porcine infectious pleuropneumonia caused by Actinoba-cillus pleuropneumoniae(APP)has significantly increased in large-scale pig farms in China.The i-solation,identification,and biological characteristic testing of newly prevalent strains have impor-tant clinical significance.This study isolated four suspected APP strains(named XB2T-56,JMTLP-443,YD-THB-755,SYZJ-291)from lung samples of pig farms suspected of outbreaks of porcine infectious pleuropneumonia in Hubei Province.They were identified by PCR amplification,and multiplex PCR serological typing,the biological properties were tested by detecting the growth a-bility,hemolytic activity and biofilm forming ability.The drug resistance of the strains was ana-lyzed by drug sensitivity testing,and the virulence of one strain(XB2T-56)in mice and piglets was evaluated.The PCR identification result showed that all four clinical isolates were APP serotype 15 strains.These four strains grew slower than serotype 1 standard strains,had weaker hemolytic activity,but could form stronger biofilms.These strains are all less sensitive to cephalosporin,tylo-sin,sulfamethoxazole,and doxycycline,but sensitive to cefotaxime and enrofloxacin.The mice and piglet infection experiments showed that the isolated strain XB2T-56 has strong virulence.Artifi-cial intranasal infection causes acute death in piglets,with typical symptoms of pleuropneumonia in the lungs,and serotype 15 strains can be isolated from the lesion site.This study indicates that the APP serotype 15 strain has strong virulence,providing new date for the clinical epidemiological characteristics of APP.

In recent years,the prevalence of porcine infectious pleuropneumonia caused by Actinoba-cillus pleuropneumoniae(APP)has significantly increased in large-scale pig farms in China.The i-solation,identification,and biological characteristic testing of newly prevalent strains have impor-tant clinical significance.This study isolated four suspected APP strains(named XB2T-56,JMTLP-443,YD-THB-755,SYZJ-291)from lung samples of pig farms suspected of outbreaks of porcine infectious pleuropneumonia in Hubei Province.They were identified by PCR amplification,and multiplex PCR serological typing,the biological properties were tested by detecting the growth a-bility,hemolytic activity and biofilm forming ability.The drug resistance of the strains was ana-lyzed by drug sensitivity testing,and the virulence of one strain(XB2T-56)in mice and piglets was evaluated.The PCR identification result showed that all four clinical isolates were APP serotype 15 strains.These four strains grew slower than serotype 1 standard strains,had weaker hemolytic activity,but could form stronger biofilms.These strains are all less sensitive to cephalosporin,tylo-sin,sulfamethoxazole,and doxycycline,but sensitive to cefotaxime and enrofloxacin.The mice and piglet infection experiments showed that the isolated strain XB2T-56 has strong virulence.Artifi-cial intranasal infection causes acute death in piglets,with typical symptoms of pleuropneumonia in the lungs,and serotype 15 strains can be isolated from the lesion site.This study indicates that the APP serotype 15 strain has strong virulence,providing new date for the clinical epidemiological characteristics of APP.

The 20 th Chinese Conference on Burns and Wound Repair was successfully held in Chengdu, the lotus city from June 12 th to 14 th, 2025. Themed "Interdisciplinary, Cutting-edge Innovation, and Excellence", this conference featured a main venue and five parallel sessions. Over the three-day event, participants engaged in in-depth discussions and exchanges focusing on acute and chronic wound repair, scar prevention and reconstruction, critical burn treatment, rehabilitation, and nursing care. The conference showcased the latest advancements in burn and wound repair medicine, injecting new momentum into the discipline's development.

Objective:To develop an ultrasound multi-view fusion recognition model and evaluate its clinical value in diagnosing fetal conotruncal defects (CTD).Methods:This prospective study collected cardiac ultrasound images from fetuses at 20-32 weeks of gestation undergoing prenatal ultrasound at Dongguan Maternal and Child Health Hospital between September 2022 and May 2024. The case group comprised fetuses diagnosed with CTD, while controls with normal cardiac structures were collected at a 1∶2 ratio. Both groups were divided into modeling training and validation sets at a 3∶1 ratio. One optimal standard image each from the four-chamber view, left ventricular outflow tract view, right ventricular outflow tract view, and three vessels and trachea view was included per fetus. A deep learning-based multi-view fusion recognition model was developed to differentiate normal conotruncal anatomy from CTD. Model performance was validated against post-abortion pathology or postnatal echocardiography results. SAS software was used for statistical analysis to calculate the sensitivity and specificity of three fusion models (based on positivity in any two, three, or four views, and were designated as Fusion Model 1, Fusion Model 2, and Fusion Model 3, respectively), with the optimal model determined by the maximum Youden index. Senior, intermediate, and junior prenatal sonologists independently diagnosed cases in the validation set under blinding conditions. Their diagnostic results were compared with those of the optimal model. Paired Chi-square test (Cochran's Q test) was employed to compare the differences between the diagnostic accuracy rates of sonologists at different experience levels and the sensitivity of the optimal model, thereby analyzing the auxiliary diagnostic value of the multi-view fusion recognition model. Results:The study included 88 CTD cases, excluding six cases (non-CTD diagnosed by post-abortion pathology or postnatal echocardiography or poor image quality), divided into 60 training and 22 validation cases (12 tetralogy of Fallot, four double outlet right ventricle, three transposition of great arteries, three persistent truncus arteriosus). The control group included 176 cases, excluding 15 cases (other cardiac abnormalities confirmed postnatally or poor image quality after re-evaluation), divided into 120 training and 41 validation cases. The sensitivities of Fusion Model 1, Fusion Model 2, and Fusion Mudel 3 were 0.86, 0.64, and 0.27, while their specificities were 0.76, 0.95, and 1.00, respectively. Fusion Model 1 demonstrated the highest Youden index (0.62) and was selected as optimal. Its diagnostic sensitivity showed no significant difference from senior sonologists [86% vs. 91% (20/22), Bonferroni-corrected P>0.999], but was significantly higher than intermediate [55% (12/22), Bonferroni-corrected P=0.049] and junior sonologists [32% (7/22), Bonferroni-corrected P=0.003]. Conclusion:The deep learning multi-view fusion model achieved diagnostic performance comparable to senior sonologists, demonstrating potential value in assisting CTD diagnosis, training less experienced sonologists, and supporting research and education.

OBJECTIVE To investigate the effect and mechanism of action of KRT8 small interfering RNA(si-KRT8)in exosomes derived from patient serum with hypopharyngeal carcinoma on chemosensitivity to 5-fluorouracil(5-FU)in human pharyngeal squamous cell carcinoma FaDu cell line.METHODS The cancerous tissues of hypopharyngeal cancer patients and The serum,cancerous tissues and paracancerous tissues of drug-resistant patients after treatment were collected.A 5-FU-resistant cell line of FaDu(FaDu/R)was constructed for subsequent experiments.Exosomes were isolated from patient serum by ultrafast gradient centrifugation,identified using transmission electron microscopy and Western blot(WB)techniques.si-KRT8 was encapsulated into exosomes(Exosome@si-KRT8)using electroporation technology and subsequently used to treat cells.Real-time fluorescence quantitative PCR(RT-qPCR)and WB were used to detect the expression levels of KRT8 in different tissues,exosomes after electroporation of si-KRT8,and FaDu cells,respectively.Cell counting kit-8(CCK-8),terminal deoxynucleotidyl transferase-mediated dUTP-biotin nick end labeling assay,migration invasion technique and WB were used to detect the effects of Exosome@si-KRT8 on viability,apoptosis,and epithelial-mesenchymal transition of FaDu/R cells.RESULTS The expression level of KRT8 in drug-resistant tissues of hypopharyngeal carcinoma and FaDu/R cells was elevated compared with that in paraneoplastic tissues,cancer tissues and normal FaDu cells(t=15.79,P＜0.01).Isolated patient serum exosomes showed a double membrane structure and expressed both CD63 and TSG101 proteins,and KRT8 expression in exosomes was decreased after electro-transfection with si-KRT8(t=6.70,P＜0.01).Exosome@si-KRT8 inhibited KRT8 protein expression levels in FaDu/R cells(t=123.50,P＜0.01).Compared with the 5-FU group and the 5-FU+Exosome group,Exosome@si-KRT8 was able to inhibit the viability of FaDu/R cells(t=17.07,P＜0.01),promote the level of apoptosis in FaDu/R cells,and inhibit the expression of drug-resistance-associated proteins in FaDu/R cells(P-gp:t=103.20,MDR1:t=238.60,P＜0.01),and Exosome@si-KRT8 was able to suppress the expression of metastasis of FaDu/R cells(t=42.30,t=122.00,P＜0.01)and promoted the expression of E-cadherin while inhibiting the expression level of N-cadherin(t=130.80,t=83.90,P＜0.01).CONCLUSION Serum-derived exosome encapsulation of si-KRT8 enhances chemosensitivity of hypopharyngeal carcinoma cells and its mechanism of action may be related to inhibition of epithelial-mesenchymal transition.

Objective:To evaluate the effect of social media based behavioral intervention on promoting joint testing of HIV and syphilis in young men who have sex with men (MSM).Methods:After the recruitment, the participants who met the inclusion criteria were randomly divided (1∶1) into two groups, i.e. social media intervention group and control group. The control group was given routine voluntary counseling and testing (VCT) services. The intervention group was also given VCT services, besides; the comprehensive strategies through social media, including regular health education message and testing information sending, were given to them to strengthen the behavioral intervention. Follow up was conducted for the participants for 12 months after the intervention. The number and the proportion of young MSM receiving HIV and syphilis testing, and the reported proportion of the young MSM with sexually transmitted diseases (STD) symptoms between the intervention group and the control group were compared to evaluate the effect of the intervention.Results:A total of 315 young MSM were recruited (158 in the intervention group and 157 in the control group), in whom 248 young MSM completed the follow up. The follow-up rate was 78.7%. There was no significant difference in baseline characteristics between the intervention group and the control group (all P>0.05). The proportion of young MSM receiving more than one joint testing in the intervention group was slightly higher than that in the control group (53.2% vs. 48.4%, rate difference (RD): 4.8%, 95% CI: -7.5%-17.0%, P=0.448) without significant difference. However, in the young MSM who used condoms in the last anal sex, the proportion of those receiving more than one joint testing in the intervention group was higher than that in the control group (63.8% vs. 46.1%, RD: 17.7%, 95% CI: 1.5%-32.6%, P=0.035). In addition, the reported proportion of young MSM with STD symptoms in the intervention group was significantly lower than that in the control group (6.3% vs. 18.0%,RD: -11.7%, 95% CI: -20.6%- -3.0%, P=0.005). Conclusion:Compared with routine VCT, social media based behavioral intervention might promote joint HIV and syphilis testing in the young MSM who used condom in the study. It could significantly reduce the reporting proportion of STD symptoms, suggesting that this method can promote the AIDS and STD prevention related behaviors in young MSM.

OBJECTIVES: The measurement of diabetic foot ulcers is important for the success in diabetic foot ulcer management. At present, it lacks the accurate and convenient measurement tools in clinical. In recent years, artificial intelligence technology has demonstrated the potential application value in the field of image segmentation and recognition. This study aims to construct an intelligent measurement model of diabetic foot ulcers based on the deep learning method, and to conduct preliminary verification. METHODS: The data of 1 042 diabetic foot ulcers clinical samples were collected. The ulcers and color areas were manually labeled, of which 782 were used as the training data set and 260 as the test data set. The Mask RCNN ulcer tissue color semantic segmentation and RetinaNet scale digital scale target detection were used to build a model. The training data set was input into the model and iterated. The test data set was used to verify the intelligent measurement model. RESULTS: This study established an intelligent measurement model of diabetic foot ulcers based on deep learning. The mean average precision@.5 intersection over union (mAP@.5IOU) of the color region segmentation in the training set and the test set were 87.9% and 63.9%, respectively; the mAP@.5IOU of the ruler scale digital detection in the training set and the test set were 96.5% and 83.4%, respectively. Compared with the manual measurement result of the test sample, the average error of the intelligent measurement result was about 3 mm. CONCLUSIONS The intelligent measurement model has good accuracy and robustness in measuring the diabetic foot ulcers. Future research can further optimize the model with larger-scale data samples.
Artificial Intelligence ; Diabetes Mellitus ; Diabetic Foot ; Humans

Objective:To investigate the epidemiological characteristics and late diagnosis of suspected occupational diseases in Guangzhou from 2006 to 2018.Methods:The cases of suspected occupational diseases reported in Guangzhou from January 1, 2006 to December 31, 2018 were collected and followed up to the end of 2018. The cases of suspected occupational diseases were analyzed statistically.Results:A total of 1502 suspected occupational cases were reported in Guangzhou from 2006 to 2018, including suspected occupational otorhinolaryngological and oral diseases (58.59%, 880/1502) , suspected occupational chronic poisoning (25.03%, 376/1502) and suspected occupational pneumoconiosis (11.72%, 176/1502) . The key reporting areas were Huangpu District (27.50%, 413/1502) and Panyu District (20.91%, 314/1502) . The key reporting industries were manufacturing industry (80.36%, 1207/1502) , among which railway, ship, aerospace and other transportation equipment manufacturing industry (13.26%, 160/1207) , automobile manufacturing industry (12.51%, 151/1207) and general equipment manufacturing industry (10.19%, 123/1207) were the main industries. The main type of reported economy was private economy (39.95%, 600/1502) . The scale of the key reporting enterprises was medium and small-sized enterprises (31.09%, 467/1502 and 34.62%, 520/1502) . As of December 31, 2018, 263 cases were diagnosed with occupational diseases, and the diagnosis rate was 17.51%.Conclusion:The number of suspected occupational diseases reported in Guangzhou from 2006 to 2018 is large, and the overall diagnosis rate of suspected occupational diseases is low. It is necessary to strengthen the supervision and management of key diseases, key regions, and key industries of suspected occupational diseases. It is suggested that the reporting system of suspected occupational diseases should be standardized as soon as possible.