Background and Objectives: There is no dedicated occlusive device for closing coronary artery fistulas (CAFs), and specific efficacy and safety data of various off-label occlusive devices for CAFs closure are scarce. Methods: Patients undergoing transcatheter closure of CAFs from January 2011 to December 2022 were included in the single-center retrospective study. The study population was divided into 2 groups: coils group (n=35) and patent ductus arteriosus (PDA) occluders group (n=66). Results: No significant intergroup differences were observed in demographic characteristics except age. The presence of multiple CAF origins (54.3% vs. 4.5%, p<0.001) and multiple draining sites (51.4% vs. 3.0%, p<0.001) were more common in the coils group. In contrast, the presence of aneurysm (72.7% vs. 14.3%, p<0.001), and large fistula (75.8% vs. 37.1%, p<0.001) were more prevalent in the PDA occluders group. The acute procedural success rate of the PDA occluders group was higher compared to that of the coils group (87.9% vs.62.9%, adjusted odds ratio [OR], 7.20; 95% confidence interval, 1.59–32.64; p=0.01).In addition, no significant intergroup differences were noted in both the recanalization rate (7.8% vs. 20%, p=0.107) and the reintervention rate (3.1% vs. 8.6%, p=0.342). Conclusions Transcatheter closure of CAFs using PDA occluders was associated with significantly higher acute procedural success rates compared to coil embolization with comparable late outcomes.

Background and Objectives: There is no dedicated occlusive device for closing coronary artery fistulas (CAFs), and specific efficacy and safety data of various off-label occlusive devices for CAFs closure are scarce. Methods: Patients undergoing transcatheter closure of CAFs from January 2011 to December 2022 were included in the single-center retrospective study. The study population was divided into 2 groups: coils group (n=35) and patent ductus arteriosus (PDA) occluders group (n=66). Results: No significant intergroup differences were observed in demographic characteristics except age. The presence of multiple CAF origins (54.3% vs. 4.5%, p<0.001) and multiple draining sites (51.4% vs. 3.0%, p<0.001) were more common in the coils group. In contrast, the presence of aneurysm (72.7% vs. 14.3%, p<0.001), and large fistula (75.8% vs. 37.1%, p<0.001) were more prevalent in the PDA occluders group. The acute procedural success rate of the PDA occluders group was higher compared to that of the coils group (87.9% vs.62.9%, adjusted odds ratio [OR], 7.20; 95% confidence interval, 1.59–32.64; p=0.01).In addition, no significant intergroup differences were noted in both the recanalization rate (7.8% vs. 20%, p=0.107) and the reintervention rate (3.1% vs. 8.6%, p=0.342). Conclusions Transcatheter closure of CAFs using PDA occluders was associated with significantly higher acute procedural success rates compared to coil embolization with comparable late outcomes.

Background and Objectives: There is no dedicated occlusive device for closing coronary artery fistulas (CAFs), and specific efficacy and safety data of various off-label occlusive devices for CAFs closure are scarce. Methods: Patients undergoing transcatheter closure of CAFs from January 2011 to December 2022 were included in the single-center retrospective study. The study population was divided into 2 groups: coils group (n=35) and patent ductus arteriosus (PDA) occluders group (n=66). Results: No significant intergroup differences were observed in demographic characteristics except age. The presence of multiple CAF origins (54.3% vs. 4.5%, p<0.001) and multiple draining sites (51.4% vs. 3.0%, p<0.001) were more common in the coils group. In contrast, the presence of aneurysm (72.7% vs. 14.3%, p<0.001), and large fistula (75.8% vs. 37.1%, p<0.001) were more prevalent in the PDA occluders group. The acute procedural success rate of the PDA occluders group was higher compared to that of the coils group (87.9% vs.62.9%, adjusted odds ratio [OR], 7.20; 95% confidence interval, 1.59–32.64; p=0.01).In addition, no significant intergroup differences were noted in both the recanalization rate (7.8% vs. 20%, p=0.107) and the reintervention rate (3.1% vs. 8.6%, p=0.342). Conclusions Transcatheter closure of CAFs using PDA occluders was associated with significantly higher acute procedural success rates compared to coil embolization with comparable late outcomes.

Background and Objectives: There is no dedicated occlusive device for closing coronary artery fistulas (CAFs), and specific efficacy and safety data of various off-label occlusive devices for CAFs closure are scarce. Methods: Patients undergoing transcatheter closure of CAFs from January 2011 to December 2022 were included in the single-center retrospective study. The study population was divided into 2 groups: coils group (n=35) and patent ductus arteriosus (PDA) occluders group (n=66). Results: No significant intergroup differences were observed in demographic characteristics except age. The presence of multiple CAF origins (54.3% vs. 4.5%, p<0.001) and multiple draining sites (51.4% vs. 3.0%, p<0.001) were more common in the coils group. In contrast, the presence of aneurysm (72.7% vs. 14.3%, p<0.001), and large fistula (75.8% vs. 37.1%, p<0.001) were more prevalent in the PDA occluders group. The acute procedural success rate of the PDA occluders group was higher compared to that of the coils group (87.9% vs.62.9%, adjusted odds ratio [OR], 7.20; 95% confidence interval, 1.59–32.64; p=0.01).In addition, no significant intergroup differences were noted in both the recanalization rate (7.8% vs. 20%, p=0.107) and the reintervention rate (3.1% vs. 8.6%, p=0.342). Conclusions Transcatheter closure of CAFs using PDA occluders was associated with significantly higher acute procedural success rates compared to coil embolization with comparable late outcomes.

Coronary artery fistula(CAF)is defined as the direct connection between coronary artery and cardiac cavity,great vessel or other vascular structures.Most CAF are congenital and often present as persistent murmur in asymptomatic children.Although abnormal shunt of most coronary fistulas has little effect on hemodynamics,some larger fistulas can also lead to a series of complications,such as congestive heart failure.Therefore,closed CAF has been recommended to treat or prevent myocardial ischemia,congestive heart failure,endarteritis,arrhythmia,thromboembolism,aneurysm dilatation and rupture and other complications.CAF is a rare congenital heart disease,and bilateral CAF originating from two coronary arteries is even rarer.At present,there are rare systematic reports on bilateral CAF.Therefore,a case of huge bilateral CAF at the same site was reported,and systematically,this kind of case was summarized,so as to improve the clinical attention of diagnosis and treatment of this kind of CAF.Nowadays,some new interventional devices and technologies are emerging with the continuous progress of cardiovascular interventional technology,making the treatment more accurate,safe and effective.At the same time,there is also a clearer understanding of the indications and operating standards for interventional treatment,which is more operable and predictable during the treatment process.Therefore,interventional treatment of CAF may partially replace surgical treatment as the preferred treatment method.

Objective:To explore the effectiveness of applying the ADDIE (analysis, design, develop, implement, evaluate) Model in clinical teaching for nursing interns in spine surgery department.Methods:Using a convenience sampling method, 44 nursing interns in the Department of Orthopedics at Peking Union Medical College Hospital were selected as the control group from July 2021 to May 2022, and were taught using traditional methods. From July 2022 to May 2023, 45 nursing interns were selected as the observation group, and a teaching team was formed to design a training program based on the five stages of the ADDIE instructional design model. This program was tailored to improve the overall clinical competence of the spinal surgery nursing interns. After training, the teaching effects were evaluated based on knowledge test scores, skills test scores, overall clinical competence, and teaching satisfaction.Results:After the training, the skills test scores in specialized nursing for the observation group were (94.87±1.10) points, higher than the control group's (93.98±1.41) points, with a statistically significant difference ( P<0.01). The observation group also scored higher than the control group in clinical judgment, organizational effectiveness, overall performance, and total score in the Mini-Clinical Evaluation Exercise, with statistically significant differences ( P<0.01). Additionally, the observation group reported higher satisfaction with the teaching plan and methods compared to the control group ( P<0.05) . Conclusions:Clinical teaching for spinal surgery nursing interns based on the ADDIE instructional design model can improve their specialized practical skills and overall clinical competence. The interns also expressed a high level of acceptance for this teaching design model.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective:To investigate the factors influencing fall risk scores in elderly individuals.Methods:A total of 4 419 individuals were randomly selected using the cluster sampling method from Beijing, Nanning(Guangxi), and Yinchuan(Ningxia).Data on demographic characteristics and fall-related incidents were gathered and analyzed for their correlation with fall risk scores.Results:The fall risk score showed significant associations with various factors, such as the history of falls within one year( β=-3.607, 95% CI: -3.881 to -3.332), care methods( β=2.442, 95% CI: 2.226 to 2.658), exercise( β=0.714, 95% CI: 0.443 to 0.986), retirement( β=-0.585, 95% CI: -0.819 to -0.351), age( β=0.173, 95% CI: 0.159 to 0.187), and use of walking aids( β=-3.737, 95% CI: -4.054 to -3.421). Conclusions:Fall risk scores in older adults are influenced by a variety of factors.Factors such as no history of falls within the past year, living independently, engaging in physical activity, and being employed may contribute to lower fall risk scores in older adults.

Retinoblastoma (RB), the most common primary intraocular malignancy in infants and young children, poses a serious threat to visual function and the life of children when systemic metastasis occurs. Circular RNA (circRNA) is a recently discovered class of non-coding RNA that mainly functions as competitive endogenous RNA by regulating gene expression through competing with microRNA. circRNA can function as oncogenes or tumor suppressors, regulating various biological processes in RB cells, such as proliferation, migration, apoptosis, autophagy, and drug resistance, thereby providing new therapeutic targets for RB. In addition, the differential expression of circRNA in tumor tissues or exosomes is expected to be a potential biomarker for RB. Further studies and explorations are still needed for the functions and regulatory mechanisms of circRNA in RB to reveal their precise roles in organisms and potential clinical applications.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.