AIM: To predict diabetic retinopathy(DR)progression through macular layer thickness in diabetic patients detected by optical coherence tomography(OCT).METHODS: Retrospective study. The clinical data of 100 cases(200 eyes)of diabetic patients admitted to our hospital from January 2023 to September 2024 were collected. According to the international clinical DR classification, they were divided into the non-diabetic retinopathy(NDR)group with 32 cases(64 eyes), the non-proliferative diabetic retinopathy(NPDR)group with 38 cases(76 eyes), and the proliferative diabetic retinopathy(PDR)group with 30 cases(60 eyes). At the same time, 49 cases(98 eyes)of healthy controls whose age and gender were matched with those of the diabetic patients were collected as the normal group. All patients underwent OCT examination. The thickness changes of the retinal nerve fiber layer(RNFL), ganglion cell layer(GCL), inner plexiform layer(IPL), outer nuclear layer(ONL), photoreceptor cell layer and total retinal thickness(RT)in the subregions of the macular area were compared among the groups. The Eta coefficient was used to analyze the correlation between them and the severity of DR.RESULTS: The thickness of RNFL, GCL, IPL, ONL and photoreceptor cell layer in each sub-region and the average of macular area in the PDR group was significantly lower than that in the NDR and normal groups, while the average RT thickness was significantly higher than that in the NPDR, NDR and normal groups(all P<0.05). The thickness of RNFL(central area, upper inner and outer rings and lower inner and outer rings and average), GCL(upper inner and outer rings and lower inner and outer rings and average), IPL(upper inner ring), ONL(central, upper inner ring and lower inner ring)and photoreceptor cell layer(upper inner and outer rings and lower inner and outer rings and average)in macular area of the PDR group was significantly thicker than that in the NPDR group(all P<0.05). The thickness of RNFL, GCL, IPL, ONL and photoreceptor cell layer in each sub-region and the average of macular area in the NPDR group was significantly lower than that in the NDR and normal groups, while the average RT thickness was significantly thicker than that in the NDR and normal groups(all P<0.05). There was no statistically significant difference in the above indicators between the NDR group and the normal group(all P>0.05). The severity of DR was significantly correlated with the average thickness of RNFL, GCL, IPL, ONL, photoreceptor cell layer and RT in macular area(all P<0.001).CONCLUSION: OCT measurement of the thickness of RNFL, GCL, IPL, ONL, photoreceptor cell layer and RT in the macular area in the diabetic patients can evaluate the progression of DR.

ObjectiveTo observe the clinical effectiveness and safety of Xiaozhong Zhitong Mixture （消肿止痛合剂） combined with antibiotic bone cement in the treatment of diabetic foot ulcer （DFU） with damp-heat obstructing syndrome. MethodsA total of 72 DFU patients with damp-heat obstructing syndrome were randomly assigned to treatment group （36 cases） and the control group （36 cases）. Both groups received standard treatment and topical antibiotic bone cement for ulcer wounds， while the treatment group received oral Xiaozhong Zhitong Mixture （50 ml per time， three times daily） in additionally. Both groups underwent daily wound dressing changes for 21 consecutive days. Ulcer healing rate， serum levels of tumor necrosis factor-alpha （TNF-α）， interleukin-1 beta （IL-1β）， malondialdehyde （MDA）， superoxide dismutase （SOD）， C-reactive protein （CRP）， and white blood cell （WBC） count were observed before and after treatment， and visual analog scale （VAS） scores for wound pain， traditional Chinese medicine （TCM） syndrome scores， and the DFU Healing Scale （DMIST scale） were also compared. Liver and kidney function were evaluated before and after treatment， and adverse events such as allergic reactions， worsening ulcer pain were recorded. ResultsTotally 35 patients in the treatment group and 33 in the control group were included in the final analysis. The ulcer healing rate in the treatment group was （87.93±9.34）%， significantly higher than （81.82±12.02）% in the control group （P = 0.035）. Compared to pre-treatment levels， both groups showed significant reductions in serum CRP， WBC， MDA， IL-1β， and TNF-α levels， with an increase in SOD level （P＜0.05）. TCM syndrome scores， VAS， and DMIST scores also significantly decreased in both groups （P＜0.05）， with greater improvements in the treatment group （P＜0.05）. No significant adverse reactions were observed in either group during treatment. ConclusionXiaozhong Zhitong Mixture combined with antibiotic bone cement has significant advantages in promoting DFU healing， reducing inflammatory response， and alleviating oxidative stress in DFU patients with damp-heat obstructing syndrome， with good safety for DFU patients with damp-heat obstructing syndrome.

Biomaterials have gained substantial attention in the field of regenerative medicine and shown respectable potential in clinical translation. However, the function of biomaterials is hindered by the fibrotic encapsulation of foreign body response (FBR) under some circumstances. FBR also lowers the expected service life of implanted devices and causes pain, distortion of tissue or even malignant diseases. Therefore, the mechanism of FBR and the modulating factors need to be further investigated to improve the tissue biocompatibility of biomaterials. This article reviewed the process of FBR, summarized the properties and modification of biomaterials related to FBR, and discussed strategies to mitigate this immune reaction.

Objective To observe the value of deep learning(DL)models for automatic classification of echocardiographic views.Methods Totally 100 patients after heart transplantation were retrospectively enrolled and divided into training set,validation set and test set at a ratio of 7∶2∶1.ResNet18,ResNet34,Swin Transformer and Swin Transformer V2 models were established based on 2D apical two chamber view,2D apical three chamber view,2D apical four chamber view,2D subcostal view,parasternal long-axis view of left ventricle,short-axis view of great arteries,short-axis view of apex of left ventricle,short-axis view of papillary muscle of left ventricle,short-axis view of mitral valve of left ventricle,also 3D and CDFI views of echocardiography.The accuracy,precision,recall,F1 score and confusion matrix were used to evaluate the performance of each model for automatically classifying echocardiographic views.The interactive interface was designed based on Qt Designer software and deployed on the desktop.Results The performance of models for automatically classifying echocardiographic views in test set were all good,with relatively poor performance for 2D short-axis view of left ventricle and superior performance for 3D and CDFI views.Swin Transformer V2 was the optimal model for automatically classifying echocardiographic views,with high accuracy,precision,recall and F1 score was 92.56％,89.01％,89.97％and 89.31％,respectively,which also had the highest diagonal value in confusion matrix and showed the best classification effect on various views in t-SNE figure.Conclusion DL model had good performance for automatically classifying echocardiographic views,especially Swin Transformer V2 model had the best performance.Using interactive classification interface could improve the interpretability of prediction results to some extent.

Objective:To investigate the value of intratumoral and peritumoral radiomics models based on 18F-FDG PET-CT in predicting epidermal growth factor receptor (EGFR) mutation status in lung adenocarcinoma and interpret peritumoral radiomics features. Methods:This study was a cross-sectional study. Patients with lung adenocarcinoma who underwent 18F-FDG PET-CT at the Third Affiliated Hospital of Soochow University between January 2018 and April 2022 were retrospectively collected and samplied into a training set (309 cases) and a test set (206 cases) in a 6∶4 ratio randomly. Radiomics features were extracted from the intratumoral and peritumoral regions of interest based on PET and CT images, respectively, and the optimal feature sets were selected. Radiomics models were established using the XGBoost algorithm, and radiomics scores (intratumoral CT label, peritumoral CT label, intratumoral PET label, peritumoral PET label) were calculated. Logistic regression analysis was used to construct a clinical model and a combined model (incorporating PET-CT intratumoral and peritumoral radiomics, clinical features, and CT semantic features). The predictive performance of the models was evaluated using receiver operating characteristic curves and the area under the curve (AUC). Unsupervised clustering, Spearman correlation analysis, and visualization methods were used for the interpretability of peritumoral radiomics features. Results:In both the training and test sets, the AUC value of CT peritumoral labels was greater than that of CT intratumoral labels for predicting EGFR mutation status in lung adenocarcinoma (training set: Z=3.84, P<0.001; test set: Z=1.99, P=0.046). In the test set, the AUC value of PET intratumoral labels (0.684) was slightly higher than that of PET peritumoral labels (0.672) for predicting EGFR mutation status, but the difference was not statistically significant ( P>0.05). The combined model had the highest AUC value for predicting EGFR mutation status of lung adenocarcinoma in both the training and test sets and was significantly better than the clinical model (training set: Z=6.52, P<0.001; test set: Z=2.31, P=0.021). Interpretability analysis revealed that CT peritumoral radiomics features were correlated with CT shape features, and there were significant differences in CT peritumoral features between different EGFR mutation statuses. Conclusions:The value of CT peritumoral labels is superior to that of CT intratumoral labels in predicting EGFR mutation status in lung adenocarcinoma. The predictive performance of the model can be improved by combining PET-CT intratumoral and peritumoral radiomics, clinical features, and CT semantic features.

Biomaterials have gained substantial attention in the field of regenerative medicine and shown respectable potential in clinical translation. However, the function of biomaterials is hindered by the fibrotic encapsulation of foreign body response (FBR) under some circumstances. FBR also lowers the expected service life of implanted devices and causes pain, distortion of tissue or even malignant diseases. Therefore, the mechanism of FBR and the modulating factors need to be further investigated to improve the tissue biocompatibility of biomaterials. This article reviewed the process of FBR, summarized the properties and modification of biomaterials related to FBR, and discussed strategies to mitigate this immune reaction.

Objective:To evaluate the effect of flipped classroom combined with problem-based learning (PBL) on the standardized training for perioperative beside echocardiography.Methods:A total of 64 second-year standardized training students from the Department of Anesthesiology at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, were selected between January 2021 and June 2022 and assigned to control group ( n=32) and test group ( n=32) using a random number table method. Control group employed the traditional teaching model, and test group utilized the flipped classroom combined with PBL. After a 3-month period of teaching standard views and hemodynamic evaluation of bedside echocardiography, the comprehensive theoretical and clinical practice scores (a score of≥80 was considered excellent or good) were compared between the two groups. Additionally, a questionnaire was distributed to assess students′ self-directed learning ability and initiative, interest in learning, efficiency in mastering professional knowledge, satisfaction with teaching, communication and collaboration skills, and clinical thinking ability. Results:Compared with control group, the students in test group showed significant improvements in both comprehensive theoretical ([87 ± 8] vs [80 ± 8]) and clinical practical ([86 ± 8] vs [78 ± 8]) echocardiography scores( P<0.05 or 0.01).The excellent or good rate for comprehensive theoretical scores (88% vs 47%) and clinical practice scores (84% vs 50%) was significantly higher in test group than in control group( P<0.05 or 0.01).A total of 64 questionnaires were distributed, and all of them were returned, yielding a response rate of 100%. The students in test group demonstrated enhanced self-directed learning ability and initiative (94% vs 69%), increased interest in learning (91% vs 66%), improved efficiency in mastering professional knowledge (97% vs 75%), greater satisfaction with teaching (94% vs 62%), enhanced communication and collaboration skills (84% vs 62%), and improved clinical thinking ability (88% vs 59%) compared to control group ( P<0.05). Conclusions:The combination of a flipped classroom and PBL produces better effect than traditional teaching methods when used for standardized training for perioperative bedside echocardiography.

Objective:To understand the prevalence of arboviruses in mosquito samples in Xichang City, Sichuan Province, and enrich the data of arbovirus activity and genetic characteristics in southwestern Sichuan Province.Methods:In June 2018, the nucleic acid was extracted from Culex tritaeniorhynchus mosquitoes collected from different pigsties in three villages and suburbs of Xichang City. The specific primers of Yunnan orbivirus, Banna virus, Tibet orbivirus (S7, S10), Flavivirus and alphavirus were used for quantitative polymerase chain reaction examination, and the positive product was cloned for sequencing analysis. Results:A total of 9 012 mosquitoes were collected, of which Cx. tritaeniorhynchus was the dominant species. A number of 88 batches of these mosquitoes were amplified, and 2 strains of Japanese encephalitis virus (JEV), 7 strains of Banna virus (BAV), 7 strains of Tibet orbivirus (TIBOV) and 1 strain of Yunnan orbivirus virus (YOUV) were detected, respectively. By the results of cluster analysis and evolutionary tree analysis, the 17 newly found virus strains were close to the Yunnan isolates, and 2 JEV strains were located in the GI-b clade. The other 7 strains of BAV were A2 evolutionary clades. Of the 7 TIBOV plants, 6 were located in the same clade. One TOUV was in the same clade as the Yunnan strain. Conclusions:Culex tritaeniorhynchus mosquitoes in Xichang city might carry JEV, BAV, YOUV and TIBOV, among them JEV was GI-b type and BAV was A2 type. The results provide data supporting the detection and analysis of arboviruses in Xichang city.

【Objective】 To analyze the basic characteristics of whole blood donors from blood stations before and after the outbreak of COVID-19. 【Methods】 After excluding invalid data, data related to the basic characteristics of whole blood donors collected from 26 blood stations in China during 2018 to 2021 were statistically analyzed, including the trend of total whole blood donors, the number of repeated blood donors, the frequency of blood donation, the average age of donors and the recruitment of first-time blood donors. 【Results】 Affected by the epidemic, 8 out of 14 indicators were with large variations, accounting for 57%. The overall growth rate of total whole blood donors during the epidemic was higher than before the epidemic (P<0.05).The number of repeated blood donors has shown an increased trend, with a higher number during the epidemic than before (P<0.05). The frequency of blood donation was lower during the epidemic than before(P<0.05).Average ages of blood donors and female blood donors fluctuated widely during the epidemic, both higher than those before the epidemic(P<0.05).The donation rate of first-time blood donors <25 years old and ≥25 years old varied widely and irregularly during the epidemic (both P<0.05). The percentage of first-time blood donors fluctuated irregularly during the epidemic, with overall percentage lower than that before the epidemic(P<0.05). 【Conclusion】 Whole blood donors from 26 blood stations increased after the outbreak of COVID-19, and some indicators in certain areas showed significant fluctuations during the epidemic.

Objective:To investigate short-term safety, efficacy and the learning curve of this self-developed novel transcatheter valve repair system (Neonova?) in patients with mitral regurgitation, and explore the role of perioperative echocardiography.Methods:Ten patients who visited the Union Hospital of Tongji Medical College, Huazhong University of Science and Technology from June 2021 to March 2022 and met the inclusive criteria were prospectively enrolled. All the patients were at high risk of surgery with moderate to severe or severe mitral regurgitation (MR). Clamps of Neonova? were implanted under guidance of transesophageal echocardiography and digital subtraction angiography. Clinical outcomes, echocardiography indexes and learning curves of this technique were evaluated immediately after intervention, 7 d, 1 month and 3 months post-intervention.Results:The technical success rate was 100% with MR relieved in all patients immediately after intervention. The device and procedural success rates were both 90.0% with 1 patient received surgical replacement at 37 days post-intervention while the others′ reduced to mild (8/9) and moderate (1/9) MR. New York Heart Association class and the Kansas City Cardiomyopathy Questionnaire improved significantly (all P<0.001). Mean mitral valve pressure gradient didn′t increase significantly after intervention when compared with that before intervention( P=0.324), and no mitral stenosis was observed. Left ventricular end-diastolic diameter decreased significantly ( P=0.008) during follow up.Procedure duration ranged from 60 to 300 (175.8±75.2)minutes. The simple linear regression model between procedure volume and duration showed that procedure duration decreased significantly with the increase of procedure volume ( F=15.857, P=0.004). Conclusions:Neonova? implantation can improve MR severity and clinical symptoms safely and effectively. Transthoracic echocardiography and transesophageal echocardiography are essential for perioperative management of transcatheter mitral valve repair.