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.
Exercise prescription is an effective tool for the prevention and control of hypertension, diabetes and dyslipidemia. However, a full set of exercise prescription is difficult to be implemented in China's primary medical institutions and community public health service centers. Therefore, under the support of the theoretical system of exercise prescription and the standard development norms, this clinical pathway of exercise prescription is developed according to the characteristics of national physical fitness and the status quo of primary healthcare institutions in China, aiming at simplifying the process of exercise prescription development, reducing the professional threshold, empowering primary healthcare, and providing a scientific and feasible solution for the promotion of exercise prescription in primary healthcare institutions.
Objective To construct and evaluate a screening and diagnostic system based on color fundus images and artificial intelligence (AI)-assisted screening for optic neuritis (ON) and non-arteritic anterior ischemic optic neuropathy (NAION). MethodsA diagnostic test study. From 2016 to 2020, 178 cases 267 eyes of NAION patients (NAION group) and 204 cases 346 eyes of ON patients (ON group) were examined and diagnosed in Zhongshan Ophthalmic Center of Sun Yat-sen University; 513 healthy individuals of 1 160 eyes (the normal control group) with normal fundus by visual acuity, intraocular pressure and optical coherence tomography examination were collected from 2018 to 2020. All 2 909 color fundus images were as the data set of the screening and diagnosis system, including 730, 805, and 1 374 images for the NAION group, ON group, and normal control group, respectively. The correctly labeled color fundus images were used as input data, and the EfficientNet-B0 algorithm was selected for model training and validation. Finally, three systems for screening abnormal optic discs, ON, and NAION were constructed. The subject operating characteristic (ROC) curve, area under the ROC (AUC), accuracy, sensitivity, specificity, and heat map were used as indicators of diagnostic efficacy. ResultsIn the test data set, the AUC for diagnosing the presence of an abnormal optic disc, the presence of ON, and the presence of NAION were 0.967 [95% confidence interval (CI) 0.947-0.980], 0.964 (95%CI 0.938-0.979), and 0.979 (95%CI 0.958-0.989), respectively. The activation area of the systems were mainly located in the optic disc area in the decision-making process. ConclusionAbnormal optic disc, ON and NAION, and screening diagnostic systems based on color fundus images have shown accurate and efficient diagnostic performance.
Objective To evaluate the adverse events following immunization (AEFI) of meningococcal vaccines, so as to provide references for the appraisal and treatment of AEFI. Methods The Chinese Bio-medicine Database (1978 to April, 2010), China Journal Full-text Database (1994 to April, 2010), VIP Database (1989 to April, 2010) and WangFang database (1988 to April, 2010) were fully searched, and the references listed in original studies were searched manually as well. Then two reviewers independently screened studies and abstracted relevant data.Results A total of 52 articles involving 61 cases were included. Among the AEFI cases, 72.13% were hypersensitive response, including henoch-schonlein purpura (accompanied with or without nephritis), anaphylactic shock, allergic eruption, angioedema, local allergic reaction and so on. Conclusion The results of this study show that meningococcal vaccines may result in AEFI. However, most AEFI are temporary and can be cured after treatment in time. In general, meningococcal vaccine is safe, but monitoring and treatment for AEFI are necessary.
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.
Lung segmentation is the premise of the computer aided diagnosis of lung cancer. The traditional segmentation method based on local low-level features can not get the correct result when a tumor is connected with pleura due to their similar computed tomography (CT) values. Moreover, because the big size of tumor leads to the loss of a large part of lung area, the traditional segmentation methods of lung with juxta-pleural nodule whose diameter is less than 3 cm are not suitable. Acitve shape model (ASM) combined with prior shape and low level features might be appropriate. But the search steps in conventional ASM is an optimization method based on the least square, which is sensitive to outlier marker points, and it makes profile update to the transition area of normal lung tissue and tumor rather than a true lung contour. To solve the problem, we proposed an improved ASM algorithm. Firstly, we identified these outlier marker points by distance, and then gave the different searching functions to the abnormal and normal marker points. And the search processing should be limited in volume of interesting (VOI). We selected 30 lung images with juxta-pleural tumors, and got the overlap rate with the gold standard as 93.6%. The experimental results showed that the improved ASM could get good segmentation results for the lungs with juxta-pleural tumors, and the running time of the algorithm could be tolerated in clinical.
ObjectivesTo explore the association between liver dysfunction and premature birth (PTB).MethodsA prospective cohort of HBV-infected or uninfected pregnant women of Han nationality attending antenatal care at Nantong Maternal and Child Health Hospital was recruited from January 1st, 2012 to June 30th, 2016. Liver function tests (LFTs) were monitored through pregnancy. Robust Poisson regression was used to estimate adjusted risk ratios (RRs) on HBV infection and LFT abnormalities.ResultsAmong 35 452 pregnant women (1 073 HBV carriers and 34 379 non-HBV women), 4 266 (12.03%) had at least one instance of abnormal LFT results. One fold upper limit of normal aspartate aminotransferase (AST), two folds upper limit of normal total bilirubin, and four folds upper limit of normal total bile acid rather than HBsAg positivity, were identified as independent risk factors for PTB by Robust Possion regression analysis.ConclusionsAbnormal LFTs among pregnant women is an independent risk factor of PTB. We suggest monitoring the LFTs results of high-risk population throughout pregnancy.