Objective To evaluate early outcomes of transthoracic pulmonary valve implantation for the treatment of moderate and severe pulmonary regurgitation by using homemade self-expanding valve (SalusTM). Methods Patients with severe pulmonary regurgitation who underwent transthoracic pulmonary valve implantation in Guangdong Provincial People’s Hospital from September 2, 2021 to November 25, 2022 were prospectively enrolled. The early postoperative complications and improvement of valve and heart function were summarized and analyzed. Results A total of 25 patients were enrolled, including 16 males and 9 females, with an average age of 24.5±1.5 years and an average weight of 57.0±3.0 kg. The mean systolic diameters of the bifurcation near the main pulmonary artery, the stenosis of the middle segment of the aorta and near the valve of the right ventricular outflow tract of the patients were 31.8±7.4 mm, 30.6±5.9 mm and 38.4±8.0 mm, respectively. All patients were successfully implanted with valves, and there were no serious complications such as death, coronary compression, stent fracture, valve displacement and infective endocarditis in the early postoperative period. The indexed left atrial longitudinal diameter, indexed right atrial longitudinal diameter, and indexed right ventricular outflow tract anteroposterior diameter decreased significantly after the operation. The degree of tricuspid and pulmonary valve regurgitation and the indexed regurgitation area decreased significantly. The above differences were statistically significant (P<0.05). Conclusion The early outcomes of transthoracic pulmonary valve implantation with homemade self-expanding pulmonary valve (SalusTM) in the treatment of severe pulmonary regurgitation is relatively good, and the long-term outcomes need to be verified by the long-term follow-up studies with large samples.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

Objective To analyze and summarize the early and medium-term outcomes of self-expanding interventional pulmonary valve stent (SalusTM) for right ventricular outflow tract dysfunction with severe pulmonary valve regurgitation. Methods We established strict enrollment and follow-up criteria. Patients who received interventional pulmonary valve in transthoracic implantation in Guangdong Provincial People’s Hospital from September 2, 2021 to July 18, 2023 were prospectively included, and all clinical data of patients were collected and analyzed. Results A total of 38 patients with severe pulmonary regurgitation were included, with 23 (60.5%) males and 15 (39.5%) females. The mean age was 24.08±8.12 years, and the mean weight was 57.66±13.54 kg. The preoperative mean right ventricular end-diastolic volume index (RVEDVI) and right ventricular end-systolic volume index (RVESVI) were 151.83±42.84 mL/m2 and 83.34±33.05 mL/m2, respectively. All patients successfully underwent transcatheter self-expandable pulmonary valve implantation, with 3 (7.9%) patients experiencing valve stent displacement during the procedure. Perioperative complications included 1 (2.6%) patient of postoperative inferior wall myocardial infarction and 1 (2.6%) patient of poor wound healing. The median follow-up time was 12.00 (6.00, 17.50) months. During the follow-up period, there were no deaths or reinterventions, and no patients had recurrent severe pulmonary regurgitation. Three (7.9%) patients experienced chest tightness and chest pain, and 1 (2.6%) patient developed frequent ventricular premature beats. Compared with preoperative values, the right atrial diameter, right ventricular diameter, and tricuspid annular plane systolic excursion were significantly reduced at 6 months and 1 year postoperatively, with improvement in the degree of pulmonary regurgitation (P<0.01). Compared with preoperative values, RVEDVI and RVESVI decreased to 109.51±17.13 mL/m2 and 55.88±15.66 mL/m2, respectively, at 1 year postoperatively (P<0.01). Conclusion 　Self-expanding interventional pulmonary valve in transthoracic implantation is safe and effective for severe pulmonary valve regurgitation and shows good clinical and hemodynamic results in one-year outcome.

Objective To develop a method for accurate identification of multiscale carotid plaques in ultrasound images.Methods We proposed a two-stage carotid plaque detection method based on deep convolutional neural network(SM-YOLO).A series of algorithms such as median filtering,histogram equalization,and Gamma transformation were used to preprocess the dataset to improve image quality.In the first stage of the model construction,a candidate plaque set was built based on the YOLOX_l target detection network,using multiscale image training and multiscale image prediction strategies to accommodate carotid artery plaques of different shapes and sizes.In the second stage,the Histogram of Oriented Gradient(HOG)features and Local Binary Pattern(LBP)features were extracted and fused,and a Support Vector Machine(SVM)classifier was used to screen the candidate plaque set to obtain the final detection results.This model was compared quantitatively and visually with several target detection models(YOLOX_l,SSD,EfficientDet,YOLOV5_l,Faster R-CNN).Results SM-YOLO achieved a recall of 89.44%,an accuracy of 90.96%,a F1-Score of 90.19%,and an AP of 92.70%on the test set,outperforming other models in all performance indicators and visual effects.The constructed model had a much shorter detection time than the Faster R-CNN model(only one third of that of the latter),thus meeting the requirements of real-time detection.Conclusion The proposed carotid artery plaque detection method has good performance for accurate identification of carotid plaques in ultrasound images.

Objective:To explore the prognostic predictive value of deep neural network (DNN) assisted myocardial contrast echocardiography (MCE) quantitative analysis of ST-elevated myocardial infarction (STEMI) patients after successful percutaneous coronary intervention(PCI).Methods:A retrospective analysis was performed in 97 STEMI patients with thrombolysis in myocardial infarction-3 flow in infarct vessel after primary PCI in Renmin Hospital of Wuhan University from June to November 2021. MCE was performed within 48 h after PCI. Patients were followed up to 120 days. The adverse events were defined as cardiac death, hospitalization for congestive heart failure, reinfarction, stroke and recurrent angina. The framework consisted of the U-net and hierarchical convolutional LSTMs. The plateau myocardial contrast intensity (A), micro-bubble rate constant (β), and microvascular blood flow (MBF) for all myocardial segments were obtained by the framework, and then underwent variability analysis. Patients were divided into low MBF group and high MBF group based on MBF values, the baseline characteristics and adverse events were compared between the two groups. Other variables included biomarkers, ventricular wall motion analysis, MCE qualitative analysis, and left ventricular ejection fraction. The relationship between various variables and prognosis was investigated using Cox regression analysis. The ROC curve was plotted to evaluate the diagnostic efficacy of the models, and the diagnostic efficacy of the models was compared using the integrated discrimination improvement index (IDI).Results:The time-cost for processing all 3 810 frames from 97 patients was 377 s. 92.89% and 7.11% of the frames were evaluated by an experienced echocardiographer as "good segmentation" and "correction needed". The correlation coefficients of A, β, and MBF ranged from 0.97 to 0.99 for intra-observer and inter-observer variability. During follow-up, 20 patients met the adverse events. Multivariate Cox regression analysis showed that for each increase of 1 IU/s in MBF of the infarct-related artery territory, the risk of adverse events decreased by 6% ( HR 0.94, 95% CI =0.91-0.98). There was a 4.5-fold increased risk of adverse events in the low MBF group ( HR 5.50, 95% CI=1.55-19.49). After incorporating DNN-assisted MCE quantitative analysis into qualitative analysis, the IDI for prognostic prediction was 15% (AUC 0.86, sensitivity 0.78, specificity 0.73). Conclusions:MBF of the area supplied by infarct-related artery after STEMI-PCI is an independent protective factor for short-term prognosis. The DNN-assisted MCE quantitative analysis is an objective, efficient, and reproducible method to evaluate microvascular perfusion. Assessment of culprit-MBF after PCI in STEMI patients adds independent short-term prognostic information over qualitative analysis.It has the potential to be a valuable tool for risk stratification and clinical follow-up.

Ischemic stroke is a severe disorder resulting from acute cerebral thrombosis. Here we demonstrated that post-ischemic treatment with ciclopirox olamine (CPX), a potent antifungal clinical drug, alleviated brain infarction, neurological deficits and brain edema in a classic rat model of ischemic stroke. Single dose post-ischemic administration of CPX provided a long-lasting neuroprotective effect, which can be further enhanced by multiple doses administration of CPX. CPX also effectively reversed ischemia-induced neuronal loss, glial activation as well as blood-brain barrier (BBB) damage. Employing quantitative phosphoproteomic analysis, 130 phosphosites in 122 proteins were identified to be significantly regulated by CPX treatment in oxygen glucose deprivation (OGD)-exposed SH-SY5Y cells, which revealed that phosphokinases and cell cycle-related phosphoproteins were largely influenced. Subsequently, we demonstrated that CPX markedly enhanced the AKT (protein kinase B, PKB/AKT) and GSK3 (glycogen synthase kinase 3) phosphorylation in OGD-exposed SH-SY5Y cells, and regulated the cell cycle progression and nitric oxide (NO) release in lipopolysaccharide (LPS)-induced BV-2 cells, which may contribute to its ameliorative effects against ischemia-associated neuronal death and microglial inflammation. Our study suggests that CPX could be a promising compound to reduce multiple ischemic injuries; however, further studies will be needed to clarify the molecular mechanisms involved.

Objective:To evaluate the effects of supra-arch branches bypass on cerebral oxygen saturation and hemodynamics in patients with Stanford type B aortic dissection.Methods:From January to December 2018, consecutive 27 patients with Stanford type B aortic dissection were enrolled in the study. All patients received hybrid treatment, including supra-arch branches bypass(right axillary artery-left common carotid artery-left subclavian artery) and thoracic endovascular aortic repaire(TEVAR). All the operations were performed by the same surgical team. The left and right cerebral oxygen saturation were measured after anesthesia(T1), left carotid artery occlusion(T2) and after operation(T3); peak systolic velocity(PSV) and resistance index(RI) of left and right carotid arteries were measured before(t1) and after operation(t2).Results:The left cerebral oxygen saturation was 0.62 ±0.01, 0.54±0.01 and 0.62±0.01 at T1, T2 and T3, respectively. There was significant difference between T2 and T1 and T3( P=0.002, P=0.001), but there was no significant difference between T1 and T3. The PSV of left carotid artery at t1 and t2 were(0.91±0.11)m/s and(0.76±0.09)m/s respectively, with no significant difference( P= 0.191). The RI of left carotid artery at t1 and t2 were 0.83±0.06 and 0.93±0.13 respectively, with no significant difference( P= 0.575). Conclusion:If one side of carotid artery was blocked for a short time during supra-arch branches bypass, the cerebral oxygen saturation would be decreased temporarily, but the changes of cerebral oxygen metabolism could be completely restored after operation. However, the hemodynamics of carotid artery would not change significantly. In the hybrid treatment strategy for the patients with aortic dissection Stanford type B, blocking bilateral carotid arteries can be avoided. Making the right axillary artery-left common carotid artery-left subclavian artery shunt is a safe and effective choice.

Objective To observe the pathophysiological change of right heart remodeling model of beagle dogs caused by tricuspid regurgitation. Methods Six beagle dogs were separated to TR group and sham operation group randomly and equally. The anterior and posterior leaflets of tricuspid valve of beagle dogs from TR group were cut off under direct vision on the beating heart. The echocardiography data were measured pre-operation and post-operation 3, 6, 12 months respectively and autopsy results were acquired after the sacrifice of two animals who had been raised for 18 months. Results The operation was successful and survival 100%. The weight of TR group increased, and the echocardiography showed right atrium and ventricle enlargement and right heart dysfunction. The autopsy of TR group found myocardial fibrosis , liver cirrhosis and ascites. All of the results indicated the occurrence of right heart remodeling and right heart failure. There is no significant difference in sham operation group before or after operation. Conclusion The myocardial fibrosis is one of the pathological basis of right heart remodeling.

OBJECTIVETo evaluate the clinical effect of implanted cardioverter-defibrillators (ICD) for primary prevention of sudden cardiac death.

METHODSAccording to ACC/AHA Guideline of ICD implantation (2005), 35 patients successfully received ICD/CRT-D implantation for primary prevention of sudden cardiac death in our hospital from January 2006 to December 2009. All the patients were followed up for a mean of 2 years.

RESULTSDuring the follow up, 11 (31.43%) patients experienced ventricular arrhythmic episodes, for which 16 defibrillation therapies and 75 anti-tachycardia pacing (ATP) therapies were delivered without mistaken shock or death. The incidence rate of NVM was 100%, that of PVT was 66.67%, Brugada syndrome 50%, HCM 25% and DCM 16.67%. Of these episodes, the incidence of VF episodes among PVC patients was 87.5% (14 beats), ventricular tachycardia PVC was 82.28% (65 times), 5 beats in NVM patients, 4 beats in HCM and Brugada syndrome patients, and 1 beat in DCM patients. No ICD implantation-related complication was detected, and no ventricular tachycardia induced syncope occurred in these cases. All patients showed improved quality of life after the implantation.

CONCLUSIONICD implantation can prevent malignant ventricular arrhythmia episodes, especially for PVT, NVM and Brugada syndrome in high risk SCD patients, demonstrating the value of implantation of ICD as a primary prevention in high-risk SCD patients.

Adult ; Aged ; Death, Sudden, Cardiac ; epidemiology ; prevention & control ; Defibrillators, Implantable ; Female ; Humans ; Male ; Middle Aged ; Primary Prevention

Objective To investigate the relationship between the expression of the survivin gene and CpC methylation in exon 1 of the survivin gene in CA tissue, and to study the expression of survivin protein in CA tissue and its modulation mechanism. Methods Tissue samples were obtained from the CA lesions of 30 patients, normal cervix of 10 female controls, and normal foreskin of 10 male controls. Immunohistochemistry was carried out to detect the expression of survivin protein in these specimens, RT-PCR to measure the mRNA expression of survivin, and methylation specific PCR (MSP) to analyze the methylation status of CpG island in the survivin gene exon 1. Results The positivity rate of survivin protein and mRNA was 90% (27/30) and 93.3% (28/30) in CA tissue specimens, respectively, 5% (1/20) and 5% (1/20) in control tissue specimens, respectively; there was a significant difference between the two groups of specimens in both the parameters (x2 = 35.187, 38.437, both P < 0.01). The demethylation of CpG island in the survivin gene exon 1 was observed in 86.7% (26/30) of the CA tissue specimens and in 15% (3/20) of the control tissue specimens (x2 = 10.865, P < 0.01). There was a positive correlation between the demethylation status of CpG island in exon 1 and the mRNA expression of survivin gene (x2 = 13.929, P = 0.014). Conclusions The expression of survivin protein in CA tissues might be associated with the demethylation of CpG island in exon 1 of the survivin gene, and may play a certain role in the development of CA.