【Objective】 To establish a risk model for predicting spontaneous rupture bleeding of renal angiomyolipoma (RAML) in order to better assess and deal with the risk. 【Methods】 The information of 436 RAML patients diagnosed during Jan.2018 and Dec.2022 was retrospectively analyzed.According to the inclusion and exclusion criteria, 216 patients were included and divided into the rupture bleeding group (n=35) and non-rupture bleeding group (n=181).The factors influencing spontaneous rupture bleeding were identified using univariate and multivariate analysis, and a nomogram was constructed accordingly with R language.The nomogram was evaluated using Calibration curve and area under the receiver operator characteristic curve (AUC). 【Results】 It was found that clinical manifestations, tumor diameter, tumor convexity, tumor blood supply, and tuberous sclerosis complex (TSC) were significantly correlated with rupture bleeding.The Calibration curve fitted well with the nomogram.The AUC was 0.956 (95%CI: 0.856-0.943), indicating that the nomogram had good statistical performance. 【Conclusion】 The model can effectively predict the risk of spontaneous rupture bleeding of renal angiomyolipoma.

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 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 investigate the risk factors and diagnostic value of severe acute kidney injury(AKI)after type A aortic dissection,and to analyze the efficacy of different dialysis strategies of renal replace-ment therapy on severe AKI.Methods The clinical data of 69 patients with severe AKI after type A aortic dissection operation in this hospital from January 2019 to December 2021 were retrospectively collected.The patients were divided into the severe group(dialysis treatment,24 cases)and the mild group(without conduc-ting filtration treatment,45 cases).The clinical data were compared between the two groups,and the risk fac-tors and diagnostic value for the severe AKI occurrence after type A aortic dissection surgery by univariate and multivariate regression and receiver operating characteristic(ROC)curve.The changes of postoperative treat-ment indicators were compared and the efficacy of different dialysis strategies were analyzed.Results The in-cidence rate of severe AKI after surgery was 34.78％.The univariate and multivariate logistic regression ana-lyses results showed that preoperative serum creatinine increase(OR=0.98,95％CI:0.97-0.99,P=0.02),total extracorporeal circulation time prolongation(OR=0.99,95％CI:0.97-0.99,P=0.02)and postopera-tive 24 h blood transfusion volume increase(OR=0.99,95％CI:0.98-0.99,P＜0.01)were the independent risk factors for postoperative severe AKI occurrence in the patients with type A aortic dissection.The ROC curve analysis suggested that the combination of total time of extracorporeal circulation,preoperative serum creatinine value and postoperative 24 h blood transfusion volume had good diagnostic value for postoperative severe AKI occurrence in the patients with type A aortic dissection.The sensitivity,specificity and area under the curve were 91.10％,75.00％and 0.90 respectively.Early performing filtration and continuous renal re-placement therapy(CRRT)in the severe AKT had better effect.Conclusion The independent risk factors for postoperative severe AKI occurrence in type A aortic dissection include preoperative serum creatinine in-crease,intraoperative total extracorporeal circulation time prolongation and postoperative 24 h blood transfu-sion volume increase,and the three combination has good predictive value for severe AKI.Early detection and timely using renal replacement therapy could improve severe AKI,CRRT has a better effect for AKI than in-termitlent hemodialysis(IHD).

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.

The STAR tool was used to evaluate and analyze the science, transparency, and applicability of Chinese pathology guidelines and consensus published in medical journals in 2022. There were a total of 18 pathology guidelines and consensuses published in 2022, including 1 guideline and 17 consensuses. The results showed that the guideline score was 21.83 points, lower than the overall guideline average (43.4 points). Consensus ratings scored an average of 27.87 points, on par with the overall consensus level (28.3 points). Areas that scored above the overall level were "conflict of interest" and "working groups", while areas that scored below the overall level were "proposals", "funding", "evidence", "consensus approaches" and "accessibility". To sum up, the formulation of pathology guidelines and consensuses in 2022 is not standardized, and the evidence retrieval process, evidence evaluation methods and grading criteria for recommendations on clinical issues are not provided in the formulation process; the process and method for reaching consensus are not provided, the plan is lacking, and registration is not carried out. It is therefore suggested that guidelines/consensus makers in the field of pathology should attach importance to evidence-based medical evidence, strictly follow guideline formulation methods and processes, further improve the scientific, applicable and transparent guidelines/consensuses in the field, and better provide support for clinicians and patients.

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.

We report a family of glucocorticoid-remediable aldosteronism (GRA). A 20-year-old man presented with early-onset hypertension accompanied by hypokalemia was admitted to our hospital. Clinical data and family history were collected. Following genetic analyses with PCR and Sanger sequencing to document the chimeric gene and crossover site, respectively, we identified CYP11B1/CYP11B2 and determined the breakpoint of unequal crossover to be located in 264-380 nucletide, which was considered as GRA. There were 4 cases of GRA in the family, the average age of onset was 28 years, and all had different degrees of hypertension. Among them, the proband′s uncle suffered from moyamoya disease and died 6 months later due to sudden cerebral hemorrhage. In order to improve the understanding of this rare disease, the pathogenesis, biochemical profiles, diagnosis and treatment of GRA were summarized and analyzed.

Objective:To investigate clinical phenotypes of type Ⅳ hereditary hemochromatosis caused by c. 430A>G heterozygous mutation of SLC40A1 gene and the correlation between genotype and phenotype, exploring ferritin cutoff value for screening.Methods:One case of type Ⅳ hereditary hemochromatosis with c. 430A>G heterozygous mutation in the SLC40A1 gene and 5 generations of their family lineage with a total of 47 members who were seen at the First Affiliated Hospital of Nanjing Medical University in July 2020 were studied for systematic clinical investigation. Thirty-nine surviving individuals were tested for ferritin, liver function, fasting plasma glucose (FPG), and sex hormones, and Sanger sequencing was performed to verify the mutation loci and to map the family tree. Spearman correlation analysis was used to explore the relationship between ferritin and other indicators, and receiver operating characteristic curves were used to calculate the ferritin cutoff value for screening for this genotype of hemochromatosis.Results:Ten patients with c. 430A>G heterozygous mutation in the SLC40A1 gene were identified among 39 family members, and five of them were diagnosed with hemochromatosis, presenting incomplete penetrance. The differences in levels of ferritin, aspartate aminotransferase (AST; both P<0.01) and FPG, as well as incidences of hypogonadotropic hypogonadism and arthritis (all P<0.05) between group of mutation positive and group negative were statistically significant, while the difference in alanine aminotransferase (ALT) was not. Spearman correlation analysis showed that, ferritin levels were significantly associated with ALT ( r=0.903), AST ( r=0.879), FPG ( r=0.782), and the incidences of hypogonadotropic hypogonadism ( r=0.798) and arthritis ( r=0.798; all P<0.01) in those with the c. 430A>G heterozygous mutation in the SLC40A1 gene. The ferritin cutoff value for screening of hereditary hemochromatosis with c. 430A>G heterozygous mutation in the SLC40A1 gene was 1 036.7 μg/L, with a sensitivity and specificity of 100% and 94.3%, respectively. Conclusion:The SLC40A1 gene c. 430A>G heterozygous mutation is closely associated with elevated levels of AST and FPG, increased incidences of hypogonadotropic hypogonadism and arthritis, and the ferritin cutoff value is a useful screening parameter.