ObjectiveTo systematically review the predictive factors of new-onset conduction abnormalities(NOCAs) after transcatheter aortic valve replacement (TAVR) in bicuspid aortic valve (BAV) patients. MethodsThe CNKI, VIP, WanFang Data, PubMed, Cochrane Library and EMbase databases were electronically searched to collect the relevant studies on NOCAs after TAVR in patients with BAV from inception to December 5, 2022. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 software. ResultsSix studies involving 758 patients with BAV were included. The results of the meta-analysis showed that age (MD=−1.48, 95%CI −2.73 to −0.23, P=0.02), chronic kidney disease (OR=0.14, 95%CI 0.06 to 0.34, P<0.01), preoperative left bundle branch block (LBBB) (OR=2.84, 95%CI 1.11 to 7.23, P=0.03), membranous septum length (MSL) (MD=0.93, 95%CI 0.05 to 1.80, P=0.04), implantation depth (ID) (MD=−2.06, 95%CI −2.96 to −1.16, P<0.01), the difference between MSL and ID (MD=3.05, 95%CI 1.92 to 4.18, P<0.01), and ID>MSL (OR=0.27, 95%CI 0.15 to 0.49, P<0.01) could be used as predictors of NOCAs. ConclusionCurrent evidence shows that age, chronic kidney disease, LBBB, MS, ID, the difference between MSL and ID, and ID>MSL could be used as predictors of NOCAs. Due to the limited quantity and quality of included studies, more high-quality studies are required to verify the above conclusion.
With the progresses of the research on "Digital Human", more and more information has been needed for the setting up of the three-dimensional digital models of human organs. In the present paper, based on the method of block mapping with a normal-style bump mapping method, we normalized the vector of the surface of the models, computed offset of the texture coordinates and added to them. The projection of the coordinates to the tangential space complemented the disturbance to the vector of models' surface. The method was proposed with bump texture mapping on the surface of the biological models of organs to improve the impression of the visualization of the organ models and to enhance the sense of reality of the models.
Objective To investigate the impact of using low limit of normal( LLN) for FEV1 /FVC ratio and fixed ratio ( 70% ) as cut-off point in the qualitative diagnosis on the prevalence of chronic obstructive pulmonary disease( COPD) . Methods An epidemiological study was carried out in preoperative patients who received pulmonary function test in Zhongshan hospital fromNovember 6, 2007 to December 30, 2007. 339 patients were enrolled and diagnosed as COPD by different diagnostic criteria as follows: ①GOLD criteria; ②FEV1 /FVC
Hypertrophic obstructive cardiomyopathy (HOCM) is a relatively common hereditary cardiomyopathy, which is featured by asymmetric myocardial hypertrophy and dynamic left ventricular outflow tract (LVOT) obstruction. Other than septal hypertrophy, mitral valve abnormalities are also quite common in HOCM patients, and they also contribute to systolic anterior motion of the mitral leaflets and LVOT obstruction. Septal myectomy is believed as the standard surgical treatment for HOCM, but whether to perform mitral valve procedures at the same time of myectomy is still debatable. In this article, we thoroughly explained the mitral valve abnormalities in HOCM patients and their surgical corrections. Besides, we also explained the controversies over mitral valve procedures based on the current clinical studies.
Recently, deep learning has achieved impressive results in medical image tasks. However, this method usually requires large-scale annotated data, and medical images are expensive to annotate, so it is a challenge to learn efficiently from the limited annotated data. Currently, the two commonly used methods are transfer learning and self-supervised learning. However, these two methods have been little studied in multimodal medical images, so this study proposes a contrastive learning method for multimodal medical images. The method takes images of different modalities of the same patient as positive samples, which effectively increases the number of positive samples in the training process and helps the model to fully learn the similarities and differences of lesions on images of different modalities, thus improving the model's understanding of medical images and diagnostic accuracy. The commonly used data augmentation methods are not suitable for multimodal images, so this paper proposes a domain adaptive denormalization method to transform the source domain images with the help of statistical information of the target domain. In this study, the method is validated with two different multimodal medical image classification tasks: in the microvascular infiltration recognition task, the method achieves an accuracy of (74.79 ± 0.74)% and an F1 score of (78.37 ± 1.94)%, which are improved as compared with other conventional learning methods; for the brain tumor pathology grading task, the method also achieves significant improvements. The results show that the method achieves good results on multimodal medical images and can provide a reference solution for pre-training multimodal medical images.
Objective To explore the application of multi-disciplinary team (MDT) clinics in fetal developmental abnormalities. Methods A retrospective analysis method was used to collect case data of fetal developmental abnormalities and completion of prenatal MDT clinics diagnosis and treatment in pregnant women who were registered in the Department of Obstetrics of West China Second Hospital, Sichuan University between December 2021 and November 2022. The situation of pregnant women and fetuses was summarized and analyzed. Results There were 19362 registered pregnant women, of which 1125 (5.8%) had abnormal fetal development. Among them, 272 (24.2%) received prenatal MDT clinics diagnosis and treatment. Fetal developmental abnormalities were mainly characterized by structural abnormalities (208 cases, 76.5%), with the top three being central nervous system abnormalities, circulatory system abnormalities, and multiple malformations. There were 202 pregnant women who continue to conceive, and 70 cases had undergone induced labor, with an induced labor rate of 25.7%. The top three main causes of induced abortion were multiple malformations, central nervous system abnormalities, and circulatory system abnormalities. After prenatal MDT clinics diagnosis and treatment, the diagnosis of fetal developmental abnormalities in 46 pregnant women were corrected. Conclusion Prenatal MDT clinics are helpful for the early comprehensive evaluation of fetal developmental abnormalities and the determination of diagnosis and treatment plans.
Objective?To explore the glucometabolic state of angiographically documented inpatients with coronary artery disease (CAD) but without diagnosed diabetes mellitus (DM). Methods?The study recruited 449 patients, who were performed a coronary angiography as well as an oral glucose tolerance test (OGTT) when admitted in the cardiovascular medical ward in our hospital from January 2007 to May 2009. According to the results of coronary angiography, the patients were divided into a coronary artery disease (CAD) group and a non-coronary artery disease (non-CAD) group, and abnormal glucose metabolism (AGM) status was compared between the two groups. Results?The random plasma glucose (RPG) and fasting plasma glucose (FPG) had no significant differences (P values were 0.249 and 0.444, respectively) in the two groups, while the OGTT 2-hour plasma glucose (2hPG) was much higher in the CAD group, with a significant difference (Plt;0.001) compared with the non-CAD group. The CAD group had a prevalence of AGM up to 74.0%, of which 32.1% were newly diagnosed DM patients, and 39.0% were impaired glucose tolerance (IGT) patients, much higher than that in the non-CAD group, respectively, there being a significant difference (P=0.006). Logistic regression analyses revealed that the risk of IGT and newly diagnosed DM was 1.6 times (OR=1.603, 95% CI 1.023 to 2.512, P=0.04) and 2.3 times (OR=2.292, 95% CI 1.391 to 3.777, P=0.001) as much as that in non-CAD patients, respectively; when adjusted for the factors such as hypertension, dyslipidemia, BMI, hs-CRP, and other factors, CAD patients still had a higher risk of newly diagnosed DM (OR=1.852, 95%CI 1.064 to 3.223, P=0.029), compared with the non-CAD patients. Conclusion?AGM is common in the admitted patients with CAD but undiagnosed diabetes, most of whom need an OGTT to be diagnosed timely and accurately. OGTT should be considered to be a routine inspection item to diagnose AGM in the inpatients with CAD; if possible, all hospitalized patients with cardiovascular disease should be performed an OGTT routinely.
In order to fully explore the neural oscillatory coupling characteristics of patients with mild cognitive impairment (MCI), this paper analyzed and compared the strength of the coupling characteristics for 28 MCI patients and 21 normal subjects under six different-frequency combinations. The results showed that the difference in the global phase synchronization index of cross-frequency coupling under δ-θ rhythm combination was statistically significant in the MCI group compared with the normal control group (P = 0.025, d = 0.398). To further validate this coupling feature, this paper proposed an optimized convolutional neural network model that incorporated a time-frequency data enhancement module and batch normalization layers to prevent overfitting while enhancing the robustness of the model. Based on this optimized model, with the phase locking value matrix of δ-θ rhythm combination as the single input feature, the diagnostic accuracy of MCI patients was (95.49 ± 4.15)%, sensitivity and specificity were (93.71 ± 7.21)% and (97.50 ± 5.34)%, respectively. The results showed that the characteristics of the phase locking value matrix under the combination of δ-θ rhythms can adequately reflect the cognitive status of MCI patients, which is helpful to assist the diagnosis of MCI.
Heart failure is one kind of cardiovascular disease with high risk and high incidence. As an effective treatment of heart failure, artificial heart is gradually used in clinical treatment. Blood compatibility is an important parameter or index of artificial heart, and how to evaluate it through hemodynamic design and in vitro hemolysis test is a research hotspot in the industry. This paper first reviews the research progress in hemodynamic optimization and in vitro hemolysis evaluation of artificial heart, and then introduces the research achievements and progress of the team in related fields. The hemodynamic performance of the blood pump optimized in this paper can meet the needs of use. The normalized index of hemolysis obtained by in standard vitro hemolysis test is less than 0.1 g/100 L, which has good hemolysis performance in vitro. The optimization method described in this paper is suitable for most of the development of blood pump and can provide reference for related research work.
Varicocele (VC) is one of the common diseases of the male genitourinary system, and its incidence is higher in young adults. Among them, 80%-98% of VC are more likely to occur in the left spermatic vein. Previous research has found that VC could affect the temperature of the local microenvironment of the testis, oxidative stress process in the spermatogenic environment, mitochondrial function of sperm, endocrine system, and apoptosis of testes and epididymal cells. Therefore, VC will have an important impact on spermatogenic process of the testicles to cause male infertility. However, the specific molecular mechanism of VC affecting male spermatogenesis has not been fully studied. Therefore, this article will review the effect and mechanism of VC on testicular spermatogenesis.