Pregnancy complicated by aortic root aneurysm in patients with Marfan syndrome is one of the main causes of termination of pregnancy or even death in pregnant women. A very small number of pregnant women require cardiac surgery to preserve pregnancy under extracorporeal circulation, and all surgeries use aortic root replacement. We reported a 30-year-old patient with severe aortic regurgitation combined with giant aortic root aneurysm and Marfan syndrome in mid-pregnancy. Valve-sparing root replacement using reimplantation technology was performed via a multidisciplinary cooperation model. This not only achieved the patient’s desire to continue pregnancy but also avoided the anticoagulation and bleeding complications brought by mechanical valve replacement, reduced pregnancy risks and improved long-term quality of life. Postoperative echocardiography showed a small amount of aortic valve regurgitation, aortic valve coaptation height of 0.6 cm, effective height of 1.1 cm, maximum aortic flow velocity of 1.4 m/s, mean transvalvular pressure gradient of 4.4 mm Hg, and satisfactory clinical results.

Esophageal cancer is one of the malignant tumors that poses a threat to human health, with both high incidence and malignancy. Currently, surgery following neoadjuvant chemoradiotherapy is the standard treatment for locally advanced esophageal cancer; however, the long-term prognosis remains unsatisfactory. In recent years, inhibitors of programmed death protein-1 (PD-1) and its ligand (programmed death ligand-1, PD-L1) have achieved breakthrough progress in other solid tumors, and research on esophageal cancer is gradually being conducted. With the demonstration of good efficacy of PD-1/PD-L1 inhibitors in the first-line and second-line treatment of advanced unresectable esophageal cancer, their incorporation into neoadjuvant treatment regimens has become a hot topic. Therefore, this article reviews the mechanism of action of PD-1/PD-L1 inhibitors and their application in the neoadjuvant treatment of esophageal cancer.

Objective:Differences between randomized controlled trial (RCT) results and real world study (RWS) results may not represent a true efficacy-effectiveness gap because efficacy-effectiveness gap estimates may be biased when RWS and RCT differ significantly in study design or when there is bias in RWS result estimation. Secondly, when there is an efficacy- effectiveness gap, it should not treat every patient the same way but assess the real-world factors influencing the intervention's effectiveness and identify the subgroup likely to achieve the desired effect.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:Ten articles were included to discuss how to use the RCT research protocol as a template to develop the corresponding RWS research protocol. Moreover, based on correctly estimating the efficacy-effectiveness gap, evaluate the intervention effect in the patient subgroup to confirm the subgroup that can achieve the expected benefit-risk ratio to bridge the efficacy-effectiveness gap.Conclusion:Using real-world data to simulate key features of randomized controlled clinical trial study design can improve the authenticity and effectiveness of study results and bridge the efficacy-effectiveness gap.

Objective:Randomized controlled trials (RCT) usually have strict implementation criteria. The included subjects' characteristics of the conditions for the intervention implementation are quite different from the actual clinical environment, resulting in discrepancies between the risk-benefit of interventions in actual clinical use and the risk-benefit shown in RCT. Therefore, some methods are needed to enhance the extrapolation of RCT results to evaluate the real effects of drugs in real people and clinical practice settings.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:A total of 12 articles were included. Three methods in the included literature focused on: ①improving the design of traditional RCT to increase population representation; ②combining RCT Data with real-world data (RWD) for analysis;③calibrating RCT results according to real-world patient characteristics.Conclusions:Improving the design of RCT to enhance the population representation can improve the extrapolation of the results of RCT. Combining RCT data with RWD can give full play to the advantages of data from different sources; the results of the RCT were calibrated against real-world population characteristics so that the effects of interventions in real-world patient populations can be predicted.

Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Forensic examination materials are often plagued by trace amounts,mixes,and other factors.Single-cell isolation technology can solve these forensic problems to some extent by studying each cell individually to obtain comprehensive and reliable information.There are many single cell isolation techniques available in research reports,such as flow cytometry,laser capture microdissection,etc.This review will summarize the most common single cell isolation techniques used by researchers today,and summarize the application of various techniques in forensic science,summarize the selection strategies for single-cell isolation techniques in different scenarios based on cost,degree of automation,yield,cell damage rate,and the availability of relevant forensic platforms,and finally explore the forensic application prospects of single-cell isolation techniques.In general,single cell isolation can be applied to multiple fields such as mixed stain examination,post-mortem time inference,pre-and post-mortem injury determination,forensic toxicology analysis,forensic microbiology and forensic anthropology.The development of single cell isolation technology is of great value to the application of forensic medicine,and will provide a new way of deciphering difficult examination materials.

Objectives:Present study analyzed the efficacy and safety of percutaneous coronary intervention(PCI)using the distal transradial access(dTRA)for patients with complex coronary lesions. Methods:A total of 10 033 patients with complex coronary artery lesions(type B2 and type C lesions)who underwent percutaneous coronary intervention(PCI)via dTRA or conventional transradial access(TRA)at Fuwai Hospital between June 2021 and May 2022 were included(9 625 patients in the TRA group and 408 patients in the dTRA group).After propensity score matching,391 patients were included in each group.Baseline data,PCI intraoperative data(including lesion characteristics,intervention success rate,etc.),and incidence of major bleeding related to the access were compared between the two groups before and after propensity score matching. Results:Before propensity score matching,the proportions of patients with hypertension,hyperlipidemia,family history of coronary heart disease,history of myocardial infarction,and history of coronary artery bypass grafting were significantly higher in the dTRA group than in the TRA group(all P<0.05).After propensity score matching,the baseline data of the two groups were similar(all P>0.05).Before propensity score matching,compared with the TRA group,patients in the dTRA group had a higher proportion of patients with type B2 lesions,while the proportions of patients with type C lesions and those using intravascular ultrasound(IVUS)were lower(all P<0.05).The proportion of patients with chronic complete occlusion was similar between the two groups(P>0.05).After propensity score matching,compared with the TRA group,patients in the dTRA group had a lower proportion using IVUS and had a higher percent of stent implantation(both P<0.05).There was no statistically significant difference between the two groups in terms of SYNTAX score,guide catheter size,target lesion distribution,proportion of patients using intra-aortic balloon counterpulsation,success rate of intervention procedures,and incidence of major bleeding events related to the access(all P>0.05). Conclusions:Compared with the conventional TRA,interventional treatment of complex lesions through dTRA is equally safe and effective for patients with complex coronary lesions.

Background::The association and its population heterogeneities between low-density lipoprotein cholesterol (LDL-C) and all-cause and cardiovascular mortality remain unknown. We aimed to examine the dose-dependent associations of LDL-C levels with specific types of cardiovascular disease (CVD) mortality and heterogeneities in the associations among different population subgroups.Methods::A total of 2,968,462 participants aged 35-75 years from China Health Evaluation And risk Reduction through nationwide Teamwork (ChinaHEART) (2014-2019) were included. Cox proportional hazard models and Fine-Gray subdistribution hazard models were used to estimate associations between LDL-C categories (<70.0, 70.0-99.9, 100.0-129.9 [reference group], 130.0-159.9, 160.0-189.9, and ≥190.0 mg/dL) and all-cause and cause-specific mortality.Results::During a median follow-up of 3.7 years, 57,391 and 23,241 deaths from all-cause and overall CVD were documented. We observed J-shaped associations between LDL-C and death from all-cause, overall CVD, coronary heart disease (CHD), and ischemic stroke, and an L-shaped association between LDL-C and hemorrhagic stroke (HS) mortality ( P for non-linearity <0.001). Compared with the reference group (100.0-129.9 mg/dL), very low LDL-C levels (<70.0 mg/dL) were significantly associated with increased risk of overall CVD (hazard ratio [HR]: 1.10, 95% confidence interval [CI]: 1.06-1.14) and HS mortality (HR: 1.37, 95% CI: 1.29-1.45). Very high LDL-C levels (≥190.0 mg/dL) were associated with increased risk of overall CVD (HR: 1.51, 95% CI: 1.40-1.62) and CHD mortality (HR: 2.08, 95% CI: 1.92-2.24). The stronger associations of very low LDL-C with risk of CVD mortality were observed in individuals with older age, low or normal body mass index, low or moderate 10-year atherosclerotic CVD risk, and those without diagnosed CVD or taking statins. Stronger associations between very high LDL-C levels and all-cause and CVD mortality were observed in younger people. Conclusions::People with very low LDL-C had a higher risk of all-cause, CVD, and HS mortality; those with very high LDL-C had a higher risk of all-cause, CVD, and CHD mortality. On the basis of our findings, comprehensive health assessment is needed to evaluate cardiovascular risk and implement appropriate lipid-lowering therapy for people with very low LDL-C.

Objective To evaluate the stability,safety and immune enhancement and anti-tumor effects of Wilms'tumor gene 1(WT1)peptide combined with AddaVaxTM emulsion vaccine for acute myeloid leukemia.Methods The stability of WT1 peptide in the adjuvant vaccine was evaluated using MALDI-TOF-MS time-of-flight mass spectrometry.Female C57BL/6 mice were randomly divided into PBS group,WT1 peptide group,and WT1 peptide+AddaVaxTMemulsion adjuvant vaccine group.The immunization was performed at a dose of 50 μg/mouse for antigen and 50 μg/mouse for adjuvant,with intramuscular injection on days 0,14,and 28.HE staining was used to assess the toxicity of intramuscular vaccination on mouse organ tissues.Cytokine levels were detected by ELISA,and the number of IFN-γ-secreting splenocytes was measured by ELISpot.Flow cytometry was employed to detect the maturation of bone marrow-derived dendritic cells(BMDCs)promoted by the vaccine in vitro and the promotion for lymphocyte activation,and H-2Db WT1 tetramer was utilized to detect the proportion of specific CD8+T cells.After establishing a mouse leukemia tumor model using the C1498-mWT1 stable cell line,the anti-tumor effects of the vaccine for prevention and treatment were evaluated.Results The WT1 peptide stably existed in the vaccine without causing significant organ tissue changes in mice after intramuscular injection.Compared to the mice immunized with WT1 aqueous solution,the mice after intramuscular injection of the WT1 peptide emulsion adjuvant vaccine showed stronger immune responses of Th1 cells,including IFN-γ and TNF-α,as well as Th17 cells of IL-17A(P＜0.05),and the mice had not only promoted number of IFN-γ secreting splenocytes(P＜0.01)but also enhanced maturation of BMDCs,as indicated by an increase in the proportions of CD40+/CD11c+and CD86+CD80+/CD11c+ cells(P＜0.05).Additionally,there were increases in both the proportion of CD4+/CD3+T and CD69+/CD8+T cells(P＜0.05)and the proportion of specific CD8+T cells(P＜0.05).In the anti-tumor effect study using the C1498-mWT1 mouse model,the median survival time of the WT1+AddaVaxTM group was extended by 6 d compared to the WT1 aqueous solution group.At day 50,the survival rate of mice in the WT1+AddaVaxTM group was still 28.5％,while all mice in the other groups had died(P＜0.05).Conclusion The vaccine with the WT1 peptide and AddaVaxTM emulsion adjuvant exhibits good immunological and anti-tumor effects.

Objective To observe the feasibility of 5.0T MR for cardiac imaging.Methods Three patients with heart diseases and 17 healthy volunteers were prospectively enrolled.Cardiac MR(CMR)cine sequence and black blood sequence imaging were performed using 5.0T and 3.0T MR scanner,respectively.The image quality and artifacts degrees were compared between 5.0T and 3.0T CMR images,and the consistency of left ventricular parameters obtained using 5.0T and 3.0T scanners was analyzed.Results No significant difference of image quality nor artifacts degrees was found between 5.0T and 3.0T CMR images(all P＞0.05).The left ventricular end diastolic volume(EDV),end systolic volume(ESV),ejection fraction(EF),stroke volume(SV)and end diastolic mass(EDM)derived from cine images acquired at different fields were in a good agreement(all ICC＞0.75,all P＜0.001).Conclusion 5.0T MR could be used for cardiac imaging,with image quality of cine and black blood sequences comparable to that of 3.0T MR.