Objective:To evaluate the clinical value and safety of an intraperitoneal chemotherapy port technique in patients with gastric cancer and peritoneal metastases undergoing intraperitoneal chemotherapy.Methods:This was a retrospective, descriptive case analysis. From November 2022 to October 2024, patients diagnosed with gastric cancer and peritoneal metastases at Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine with an expected survival >3 months, underwent laparoscopic exploration combined with implantation of an intraperitoneal chemotherapy port [PORT-A-CATH II system (Model 21-4055-24)] implantation. The procedure was as follows: (1) after laparoscopic exploration, a 4-cm skin incision was made at a predetermined site and a subcutaneous pocket created by dissecting to the muscle fascia and removing subcutaneous fat as needed to position the port septum 0.5-1.0 cm from the skin surface; (2) under direct laparoscopic visualization, the abdominal cavity was punctured and a guidewire inserted, followed by an 8.5 Fr sheath, through which a catheter with three trimmed side holes was placed after removal of the sheath; (3) the catheter length in the abdominal cavity was adjusted to 25–30 cm and the catheter trimmed, and connected to the port base, ensuring it extended beyond the connector's visible hole; (4) the whole port was placed within the subcutaneous pocket, and non-absorbable sutures used to create a double purse-string suture at the catheter's abdominal entry, forming an anti-reflux ring; (5) non-absorbable sutures were used to securely fix the port to the fascia through its four base holes and the exposed catheter segments on the fascia sutured and buried; (6) patency was confirmed by injecting saline and followed by intermittent skin closure provided there was no bleeding; and (7) the catheter tip was positioned in the pelvic cavity under laparoscopic guidance. Postoperatively, the patients underwent normothermic intraperitoneal and systemic treatment. The port infusion protocol involved disinfecting the skin (>10 cm diameter) around the port, confirming the puncture site, inserting a Huber needle vertically at 90° to the port base, infusing 100 mL saline to ensure patency, followed by continuous infusion of 1000 mL paclitaxel solution, and sealing with 20 mL saline before removing the needle. No saline flushing was required between chemotherapy infusions. The primary outcomes were the incidence and management of complications post-port implantation.Results:The study cohort comprised 225 patients with gastric cancer and peritoneal metastases. Using standardized port implantation and postoperative puncture procedures, the complication rate during follow-up was 14.2% (32/225), including effusion in 14 patients (6.2%), port infection in 10 (4.4%), incision dehiscence in four (1.8%), port inversion in two (0.9%), hematoma in one (0.4%), and catheter rupture in one (0.4%). Seventy-five percent (24/32) of patients with complications recovered and continued using the port after conservative treatments (e. g., aspiration of effusions, antibiotic therapy, incision management), whereas the remaining 25.0% (8/32) with complications required surgical removal of the port because the treatment was ineffective. The presence of preoperative ascites ( P=0.019) and peritoneal cancer index score>15 ( P=0.038) were significantly associated with development of complications. Conclusions:Our standardized procedure for intraperitoneal chemotherapy port implantation is safe and feasible for patients with gastric cancer and peritoneal metastases, having a low overall complication rate. Most complications can be successfully managed with conservative treatment, the device thus providing reliable support for intraperitoneal chemotherapy.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

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.

Objective:To evaluate the clinical value and safety of an intraperitoneal chemotherapy port technique in patients with gastric cancer and peritoneal metastases undergoing intraperitoneal chemotherapy.Methods:This was a retrospective, descriptive case analysis. From November 2022 to October 2024, patients diagnosed with gastric cancer and peritoneal metastases at Wuxi Branch of Ruijin Hospital, Shanghai Jiao Tong University School of Medicine with an expected survival >3 months, underwent laparoscopic exploration combined with implantation of an intraperitoneal chemotherapy port [PORT-A-CATH II system (Model 21-4055-24)] implantation. The procedure was as follows: (1) after laparoscopic exploration, a 4-cm skin incision was made at a predetermined site and a subcutaneous pocket created by dissecting to the muscle fascia and removing subcutaneous fat as needed to position the port septum 0.5-1.0 cm from the skin surface; (2) under direct laparoscopic visualization, the abdominal cavity was punctured and a guidewire inserted, followed by an 8.5 Fr sheath, through which a catheter with three trimmed side holes was placed after removal of the sheath; (3) the catheter length in the abdominal cavity was adjusted to 25–30 cm and the catheter trimmed, and connected to the port base, ensuring it extended beyond the connector's visible hole; (4) the whole port was placed within the subcutaneous pocket, and non-absorbable sutures used to create a double purse-string suture at the catheter's abdominal entry, forming an anti-reflux ring; (5) non-absorbable sutures were used to securely fix the port to the fascia through its four base holes and the exposed catheter segments on the fascia sutured and buried; (6) patency was confirmed by injecting saline and followed by intermittent skin closure provided there was no bleeding; and (7) the catheter tip was positioned in the pelvic cavity under laparoscopic guidance. Postoperatively, the patients underwent normothermic intraperitoneal and systemic treatment. The port infusion protocol involved disinfecting the skin (>10 cm diameter) around the port, confirming the puncture site, inserting a Huber needle vertically at 90° to the port base, infusing 100 mL saline to ensure patency, followed by continuous infusion of 1000 mL paclitaxel solution, and sealing with 20 mL saline before removing the needle. No saline flushing was required between chemotherapy infusions. The primary outcomes were the incidence and management of complications post-port implantation.Results:The study cohort comprised 225 patients with gastric cancer and peritoneal metastases. Using standardized port implantation and postoperative puncture procedures, the complication rate during follow-up was 14.2% (32/225), including effusion in 14 patients (6.2%), port infection in 10 (4.4%), incision dehiscence in four (1.8%), port inversion in two (0.9%), hematoma in one (0.4%), and catheter rupture in one (0.4%). Seventy-five percent (24/32) of patients with complications recovered and continued using the port after conservative treatments (e. g., aspiration of effusions, antibiotic therapy, incision management), whereas the remaining 25.0% (8/32) with complications required surgical removal of the port because the treatment was ineffective. The presence of preoperative ascites ( P=0.019) and peritoneal cancer index score>15 ( P=0.038) were significantly associated with development of complications. Conclusions:Our standardized procedure for intraperitoneal chemotherapy port implantation is safe and feasible for patients with gastric cancer and peritoneal metastases, having a low overall complication rate. Most complications can be successfully managed with conservative treatment, the device thus providing reliable support for intraperitoneal chemotherapy.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

ObjectiveTo investigate the effect of mucin 1 (MUC1) on the proliferation and apoptosis of nasopharyngeal carcinoma (NPC) and its regulatory mechanism. MethodsThe 60 NPC and paired para-cancer normal tissues were collected from October 2020 to July 2021 in Quanzhou First Hospital. The expression of MUC1 was measured by real-time quantitative PCR (qPCR) in the patients with PNC. The 5-8F and HNE1 cells were transfected with siRNA control (si-control) or siRNA targeting MUC1 (si-MUC1). Cell proliferation was analyzed by cell counting kit-8 and colony formation assay, and apoptosis was analyzed by flow cytometry analysis in the 5-8F and HNE1 cells. The qPCR and ELISA were executed to analyze the levels of TNF-α and IL-6. Western blot was performed to measure the expression of MUC1, NF-кB and apoptosis-related proteins (Bax and Bcl-2). ResultsThe expression of MUC1 was up-regulated in the NPC tissues, and NPC patients with the high MUC1 expression were inclined to EBV infection, growth and metastasis of NPC. Loss of MUC1 restrained malignant features, including the proliferation and apoptosis, downregulated the expression of p-IкB、p-P65 and Bcl-2 and upregulated the expression of Bax in the NPC cells. ConclusionDownregulation of MUC1 restrained biological characteristics of malignancy, including cell proliferation and apoptosis, by inactivating NF-κB signaling pathway in NPC.

Objective To summarize the clinical experience and risk factors for acute kidney injury (AKI) in neonates undergoing congenital cardiac surgery and demonstrate whether neonatal AKI after cardiac surgery was independently related to perioperative short-term outcomes. Methods Medical records of neonates undergoing congenital heart surgery from January 2014 to September 2021 were retrospectively reviewed. The patients were divided into an AKI group and a non-AKI group according to whether the AKI occured after the surgery. Multivariate logistic analysis was performed to analyze the risk factors for postoperative AKI and the relationship between postoperative AKI and postoperative short-term outcomes. Results A total of 609 patients were included. There were 395 males and 214 females with an age at surgery of 1.0-28.0 d and weight of 1.9-4.8 kg. After cardiac surgery, 139 neonates developed AKI. Multivariate logistic analysis showed that less intraoperative urine output [OR=0.96, 95%CI (0.94, 0.99), P=0.005], more intraoperative infusion of red blood cells [OR=1.49, 95%CI (1.16, 1.91), P=0.002], longer intraoperative deep hypothermic circulatory arrest time [OR=1.02, 95%CI (1.00, 1.04), P=0.020], higher vasoactive-inotropic score [OR=1.03, 95%CI (1.01, 1.04), P<0.001] and elevated lactate (increasing by 5 mmol/L) [OR=2.90, 95%CI (1.76, 4.76), P<0.001] when transferred to ICU were independent risk factors for AKI. AKI was an independent risk factor for increased in-hospital mortality [OR=12.61, 95%CI (3.00, 37.48), P<0.001]. Conclusion Less intraoperative urine output, more intraoperative infusion of red blood cells, longer intraoperative deep hypothermic circulatory arrest time, higher vasoactive-inotropic score and elevated lactate when transferred to ICU are independent risk factors for AKI. Furthermore, AKI is an independent risk factor for perioperative death after cardiac surgery.

The synergistic antibacterial strategy of peroxidase mediated chemodynamic therapy(CDT)and photothermal therapy(PTT)has been proven to effectively resist bacteria.However,the antibacterial effect against Pseudomonas aeruginosa is severely limited due to the factors such as short lifespan of reactive oxygen species(ROS)(<200 ns)and limited diffusion distance(about 20?200 nm).In this study,glucopyranose functionalized MoO3-x(P-MoO3-x)nanoenzyme was successfully synthesized using a one-pot hydrothermal method.This nanoenzyme exhibited both peroxidase-like activity and a photothermal effect.The combined antibacterial performance and biological safety of P-MoO3-x was analyzed and verified.By utilizing specific interactions with glucopyranose and lectin,P-MoO3-x nanoenzyme could target the surface of Pseudomonas aeruginosa.This targeted approach effectively shortened the range of hydroxyl radicals,significantly enhancing the antibacterial effect against Pseudomonas aeruginosa.Under photothermal action,P-MoO3-x could reach the optimal reaction effect at 70℃.Even at low concentrations of hydrogen peroxide(50 μmol/L),it released more hydroxyl radicals.In vitro antibacterial analysis experiments demonstrated that the inactivation efficiency of the P-MoO3-x antibacterial system against Pseudomonas aeruginosa(106 CFU/mL)exceeded 99%.Furthermore,in vivo experiments confirmed the significant therapeutic effects of P-MoO3-x in treating methicillin-resistant Staphylococcus aureus(MRSA)infected wounds and promoting wound healing,without producing toxicity to cells.In conclusion,P-MoO3-x exhibited excellent antibacterial ability and good biocompatibility,making it a promising anti-infective nanoenzyme with broad application prospects.

Objective To propose a sperm classification model based on convolutional neural network to enhance the accuracy of sperm morphological classification.Methods A FT-EfficientNet model was constructed using EfficientNetB0 as the base model,which was fine-tuned by data preprocessing enhancement,transfer learning and cosine decay.Classification experi-ments were performed on the sperm public datasets SCIAN-Morpho and HuSHeM,and the datasets were segmented and vali-dated using 5-fold cross-validation.The classification results by the FT-EfficientNet model were compared with those by the cascade ensemble of support vector machines(CE-SVM)model,the adaptive patch-based dictionary learning(APDL)model,fine tuning of visual geometry group(FT-VGG)model,morphological classification of human sperm heads(MH-HSH)model and transfer learning(TL)model.Ablation experiments were performed in the SCIAN-Morpho dataset to verify the effect of different fine-tuning methods on the model.Results The FT-EfficientNet model proposed had the accuracy,precision and F1 score on the SCIAN-Morpho validation set being 64.1％,63.8％and 64.8％,respectively,which were better than CE-SVM,APDL,FT-VGG and MC-HSH models.The recall rate of the model proposed(65.2％)was slightly lower than that of MC-HSH model(68.0％).The accuracy,precision,F1 score and recall rate on the HuSHeM validation set was 95.4％,95.8％,95.4％and 96.0％,respectively,which were slightly lower than those of TL model while better than those of CE-SVM,APDL,FT-VGG and MC-HSH models.Ablation experiments showed the FT-EfficientNet model behaved the best in fine-tuning.Conclusion The sperm classification model based on convolutional neural network facilitates sperm morphology classification with high accuracy and performance.[Chinese Medical Equipment Journal,2024,45(10):7-13]