This was a single-center retrospective case series study. This study evaluated the efficacy and safety of percutaneous covered stent endovascular exclusion under digital subtraction angiography (DSA) for removing dialysis catheters misplaced in arteries. The clinical data from 7 patients treated in the First Affiliated Hospital of Zhejiang University School of Medicine from January 2012 to October 2023 were analyzed. All patients had dialysis catheters confirmed to be misplaced in arteries via chest CT, X-ray radiography or computed tomography angiography. Percutaneous covered stent endovascular exclusion under DSA was used to remove the catheters. The results showed that except for one elderly patient died during waiting for surgery, the remaining 6 patients achieved satisfactory outcomes with no postoperative bleeding. There was no related complication observed during a 6-month follow-up. Arterial misplacement of dialysis catheters is a serious complication requiring prompt removal. Percutaneous covered stent endovascular exclusion under DSA offers a minimally invasive, effective, and safe approach with a high technical success rate and a low complication rate, making it a viable surgical option for similar clinical cases.

Objective: To explore the mechanism of action of Zangjiangzhi capsule (ZJZC) in treating hyperlipidemia (HLP). Methods: The components of ZJZC were analyzed and identified using ultra-high performance liquid chromatography with Q-Exactive Orbitrap tandem mass spectrometry (UHPLC-Q-Exactive-Orbitrap-MS/MS). Network pharmacology analysis was used to explore the mechanism of action of ZJZC in HLP treatment. The SwissTargetPrediction database was used to predict compound targets, and GeneCards, DisGeNet, OMIM, and DRUGBANK databases were used to identify HLP-related targets. Protein–protein interaction diagrams were constructed using the STRING database. The targets were subjected to gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. The “herb-ingredient-target” network was visualized using Cytoscape. Preliminary validation was performed using molecular docking and enzyme-linked immunosorbent assay. Results: Ninety compounds were identified in ZJZC, including 34 flavonoids, 12 phenols, 10 terpenoids, 10 alkaloids, 8 organic acids, 8 anthraquinones, and 9 other compounds. In total, 904 targets were identified for these compounds. Among them, 158 targets intersected with the HLP target network. Network pharmacology analysis showed that MAPK1, PPAR-α, RXRA, HSP90AA1, PIK3R1, AKT1, PIK3CA, IL6, TNF, and ESR1 are the key targets of action. KEGG enrichment analysis identified 164 pathways. Among these, the AGE-RAGE signaling pathway in diabetic complications, lipid and atherosclerosis pathways, regulation of lipids in adipocytes, and insulin resistance are related to HLP. Molecular docking showed good affinity between the key targets and ingredients. Further, ZJZC treatment in mice resulted in lower expression of MAPK1 protein and increased expression of PPAR-α protein, which have been shown to be strongly associated with HLP. Conclusions This study showed that ZJZC contains various active ingredients and can modulate multiple targets and pathways associated with HLP, providing evidence at the molecular level for its clinical application in the treatment of HLP.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

This was a single-center retrospective case series study. This study evaluated the efficacy and safety of percutaneous covered stent endovascular exclusion under digital subtraction angiography (DSA) for removing dialysis catheters misplaced in arteries. The clinical data from 7 patients treated in the First Affiliated Hospital of Zhejiang University School of Medicine from January 2012 to October 2023 were analyzed. All patients had dialysis catheters confirmed to be misplaced in arteries via chest CT, X-ray radiography or computed tomography angiography. Percutaneous covered stent endovascular exclusion under DSA was used to remove the catheters. The results showed that except for one elderly patient died during waiting for surgery, the remaining 6 patients achieved satisfactory outcomes with no postoperative bleeding. There was no related complication observed during a 6-month follow-up. Arterial misplacement of dialysis catheters is a serious complication requiring prompt removal. Percutaneous covered stent endovascular exclusion under DSA offers a minimally invasive, effective, and safe approach with a high technical success rate and a low complication rate, making it a viable surgical option for similar clinical cases.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Recent innovations in nanomaterials inspire abundant novel tumor-targeting CRISPR-based gene therapies. However, the therapeutic efficiency of traditional targeted nanotherapeutic strategies is limited by that the biomarkers vary in a spatiotemporal-dependent manner with tumor progression. Here, we propose a self-amplifying logic-gated gene editing strategy for gene/H₂O₂-mediated/starvation multimodal cancer therapy. In this approach, a hypoxia-degradable covalent-organic framework (COF) is synthesized to coat a-ZIF-8 in which glucose oxidase (GOx) and CRISPR system are packaged. To intensify intracellular redox dyshomeostasis, DNAzymes which can cleave catalase mRNA are loaded as well. When the nanosystem gets into the tumor, the weakly acidic and hypoxic microenvironment degrades the ZIF-8@COF to activate GOx, which amplifies intracellular H⁺ and hypoxia, accelerating the nanocarrier degradation to guarantee available CRISPR plasmid and GOx release in target cells. These tandem reactions deplete glucose and oxygen, leading to logic-gated-triggered gene editing as well as synergistic gene/H₂O₂-mediated/starvation therapy. Overall, this approach highlights the biocomputing-based CRISPR delivery and underscores the great potential of precise cancer therapy.

Objective:Exploration of epidermal growth factor receptor (EGFR) expression and its clinical significance in pancreatic adenosquamous carcinoma (PASC).Methods:A total of 60 pancreatic cancer tissue samples and 8 normal pancreatic tissue samples were obtained from patients who were surgically treated at Beijing Chao-Yang Hospital, Capital Medical University from January 2016 to December 2021. A retrospective analysis of the clinical and pathological data of these 60 patients was conducted, including 23 males and 37 females with an age of (62.7±10.2) years. Among them, 20 cases were pathologically diagnosed as PASC, and 40 contemporaneous cases of pancreatic ductal adenocarcinoma (PDAC) were selected through propensity score matching. Immunohistochemistry (IHC) staining was used to measure the integrated optical density (IOD) of EGFR expression, and quantitative polymerase chain reaction (qPCR) was employed to detect the expression differences of EGFR mRNA. Based on the median IOD value of EGFR, the 20 PASC samples were divided into two groups, high and low expression groups. Kaplan-Meier survival analysis was performed to compare the impact of EGFR expression on the prognosis of PASC patients.Results:The IOD value of EGFR in PASC group (29.2 [25.7, 35.1]) was significantly higher than that in the PDAC group [9.5 (5.5, 13.0)] and they both exceeded the value in normal tissues [2.4 (1.7, 3.1)], with statistical significances ( all P<0.001 ). The level of EGFR mRNA expression in the PASC group was higher than that in the PDAC group [3.0 (1.8, 3.5) vs 1.2 (0.8, 1.2)], showing statistically significant difference ( P=0.0079). Patients with high EGFR expression had shorter overall survival compared with patients with low expression ( P=0.002). The incidence of vascular invasion in the PASC group [40.0% (8/20)] was higher than that in the PDAC group [17.5% (7/40)], with a significant difference ( P=0.002). The median survival time for the PASC group was 16.00 (9.25, 25.25) months, which was shorter than that of the PDAC group 21.50 (11.25, 40.75) months, showing a statistically significant difference ( P=0.033). The overall survival rate of the PASC group was lower than PDAC group ( P=0.028). Conclusion:EGFR expression is significantly elevated in PASC tissues and PASC patients have poor prognosis.

Objective:To analyze the status of anemia at the beginning of dialysis in maintenance hemodialysis (MHD) adult patients, and to explore the relationship between early dialysis anemia and early survival and long-term survival.Methods:It was a retrospective cohort study. The baseline demographic and clinical data of newly admitted MHD patients from January 1, 2013 to December 31, 2020 were retrospectively analyzed. According to the hemoglobin (Hb) level at the beginning of dialysis, the patients were divided into high Hb group (Hb≥110 g/L), middle Hb group (80 g/L≤Hb<110 g/L) and low Hb group (Hb<80 g/L). The baseline data among the three groups were compared, and the changing trend of Hb level in MHD patients during the 8 years was analyzed. The follow-up ended at peritoneal dialysis, kidney transplantation, death or on December 31, 2021. All-cause death event within 6 months after the initiation of dialysis was defined as early death, while all-cause death event more than 6 months after the initiation of dialysis was defined as long-term death. Kaplan-Meier survival curve was used to analyze the survival rate, and log-rank test was used to compare the survival rates among the three groups. Multivariate Cox regression analysis model was used to analyze the association between anemia (Hb<110 g/L) at the beginning of dialysis and both early and long-term mortality.Results:A total of 36 216 MHD patients were included in this study, with age of (61.3±15.5) years old and 22 163 males (61.20%). The Hb at the beginning of dialysis was (89.33±20.89) g/L. The compliance rate of Hb (≥110 g/L) was 16.43% (5 952/36 216). There were 12 232 patients (33.78%), 18 032 patients (49.79%), and 5 952 patients (16.43%) in low Hb group, middle Hb group, and high Hb group, respectively. There were statistically significant differences in gender distribution, age, serum creatinine, blood phosphorus, blood calcium, C-reactive protein, intact parathyroid hormone, blood leukocytes, platelets, serum albumin, triglyceride, total cholesterol, and proportions of chronic glomerulonephritis, diabetic nephropathy, diabetes mellitus, cardiovascular and cerebrovascular diseases, tumors, emporary catheter, long-term catheter and autologous arteriovenous fistula among the three groups (all P<0.05). During the 8-year period, the Hb level had an increased trend steadily each year, and Hb was (88.48±22.07) g/L, (88.52±21.43) g/L, (87.86±21.29) g/L, (88.93±20.69) g/L, (88.87±20.69) g/L, (90.03±20.47) g/L, (90.74±20.31) g/L and (90.31±20.54) g/L year by year. There were 2 176 early deaths (6.01%), and 6 557 long-term deaths (18.10%) by the end of follow-up. Kaplan-Meier survival curve showed that early survival rate of low Hb group was significantly lower than those of high Hb group (log-rank test, χ2=57.115, P<0.001) and middle Hb group (log-rank test, χ2=49.918, P<0.001), and long-term survival rates of low Hb group (log-rank test, χ2=107.097, P<0.001) and middle Hb group (log-rank test, χ2=47.430, P<0.001) were significantly lower than that of high Hb group. Multivariate Cox regression analysis showed that Hb<80 g/L at the beginning of dialysis was an independent influencing factor of early death (Hb ≥110 g/L as a reference, HR=1.307, 95% CI 1.096-1.559), and 80 g/L≤Hb<110 g/L and Hb<80 g/L at the beginning of dialysis were the independent influencing factors of long-term death (Hb≥110 g/L as a reference, HR=1.108, 95% CI 1.021-1.203; HR=1.228, 95% CI 1.127-1.339, respectively) in MHD patients. Conclusions:The compliance rate of Hb at the beginning of dialysis in MHD patients is low. Hb <80 g/L at the beginning of dialysis is an independent risk factor of early death, and Hb <110 g/L at the beginning of dialysis is an independent risk factor of long-term death in MHD patients.

Objective:To investigate the feasibility of using anastomotic stoma as a long-term vascular access to maintain hemodialysis in patients who cannot establish an effective vascular access after ACUSEAL graft occlusion.Methods:A rare case of brachial artery-right atrium ACUSEAL artificial blood vessel fistula bypass to establish vascular access occlusion, the use of artificial blood vessel anastomosis stoma to establish buttonhole puncture as a long-term vascular access and the corresponding nursing methods.Results:At present, the patients were treated with regular dialysis for 32 months and blunt needle puncture for 23 months.Conclusions:Brachial artery-right atrium ACUSEAL graft is a rare vascular access surgery. As a new type of access with depleted autologous vascular resources, the efficacy is not certain. Because it is different from the traditional vascular prosthesis surgery, once the thrombotic occlusion of the graft fails, the risk and difficulty of reopening by interventional or surgical methods are great. Therefore, it is a challenging and reasonable method to use the limited residual cavity of the anastomosis as a long-term vascular access after occlusion to prolong the service life of the graft.

Objective:To investigate the emergency treatment and clinical effect when the guidewire stuck in the right atrium during central vein catheter placement for hemodialysis.Methods:Five cases with guidewire stuck in the right atrium during central vein catheter placement for hemodialysis from January 2011 to July 2018 admitted into the First Affiliated Hospital of Zhejiang University were retrospectively analyzed. In two cases, the guidewires were found completely stuck when the insert depth was about 20 cm. The guidewires were not able to move forward nor backward. In the other three cases, the guidewires could be moved forward but not backward with the insert depth at about 18 cm. All patients received emergent computed tomography angiography (CTA) or digital subtraction angiography (DSA) imaging. Images showed that the guidewires were stuck in the right atrium near the ventricular valve. The guidewire core drawing method, the multipurpose angiography(MPA) catheter capturing method and the manual guidewire adjusting method were used for emergent treatment.Results:One patient with completely stuck guidewire was successfully treated with guidewire core drawing method and the temporary central vein catheter catheterization through the internal jugular vein was performed under DSA. In a completely stuck case and a retrogradely stuck case, the J-shaped ends of the warped guidewires were captured into the MPA catheter, and the guidewires were then withdrawn from right atriums along with the contrast catheter. In the other 2 retrogradely stuck cases, under DSA, the guidewires were repeatedly pushed, the direction of J-shaped ends was manually adjusted, and then the guidewires were repeatedly pushed and pulled until catheters can be pulled out of the right atriums. The later 4 cases had permanent central vein catheter placement with the same guidewire after the stuck guidewires were withdrawn from the right atrium and readjusted.Conclusions:All three methods can successfully solve the emergent situation of the stuck guidewire in the right atrium. For patients with completely stuck guidewires, the MPA catheter capturing method can be simpler, safer, and more effective.