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Segmenting the left ventricle from the transgastric short-axis views (TSVs) on transesophageal echocardiography (TEE) is the cornerstone for cardiovascular assessment during perioperative management. Even for seasoned professionals, the procedure remains time-consuming and experience-dependent. The current study aims to evaluate the feasibility of deep learning for automatic segmentation by assessing the validity of different U-Net algorithms. A large dataset containing 1388 TSV acquisitions was retrospectively collected from 451 patients (32% women, average age 53.42 years) who underwent perioperative TEE between July 2015 and October 2023. With image preprocessing and data augmentation, 3336 images were included in the training set, 138 images in the validation set, and 138 images in the test set. Four deep neural networks (U-Net, Attention U-Net, UNet++, and UNeXt) were employed for left ventricle segmentation and compared in terms of the Jaccard similarity coefficient (JSC) and Dice similarity coefficient (DSC) on the test set, as well as the number of network parameters, training time, and inference time. The Attention U-Net and U-Net++ models performed better in terms of JSC (the highest average JSC: 86.02%) and DSC (the highest average DSC: 92.00%), the UNeXt model had the smallest network parameters (1.47 million), and the U-Net model had the least training time (6428.65 s) and inference time for a single image (101.75 ms). The Attention U-Net model outperformed the other three models in challenging cases, including the impaired boundary of left ventricle and the artifact of the papillary muscle. This pioneering exploration demonstrated the feasibility of deep learning for the segmentation of the left ventricle from TSV on TEE, which will facilitate an accelerated and objective alternative of cardiovascular assessment for perioperative management.
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Background: Atrial fibrillation (AF) has become the most common postoperative arrhythmia of thoracic surgery. This study aimed to investigate the risk factors and complications of perioperative atrial fibrillation (PoAF) in elderly patients who underwent video-assisted thoracoscopic surgery (VATS). Methods: Data were collected from patients who underwent VATS between January 2013 and December 2022 at Peking Union Medical College Hospital (PUMCH). Univariable analyses and multivariable logistic regression analyses were used to determine the factors correlated with PoAF. Receiver operating characteristic (ROC) curve was used to evaluate the discrimination of the indicators to predict PoAF. Results: The study enrolled 2920 patients, with a PoAF incidence of 5.2% (95% CI 4.4%-6.0%). In the logistic regression analyses, male sex (OR=1.496, 95% CI 1.056-2.129, P=0.024), left atrial anteroposterior dimension (LAD) ≥40 mm (OR=2.154, 95% CI 1.235-3.578, P=0.004), hypertension (HTN) without regular treatment (OR=2.044, 95% CI 0.961-3.921, P=0.044), a history of hyperthyroidism (OR=4.443, 95% CI 0.947-15.306, P=0.030), surgery of the left upper lobe (compared to other lung lobes) (OR=1.625, 95% CI 1.139-2.297, P=0.007), postoperative high blood glucose (BG) (OR=2.482, 95% CI 0.912-5.688, P=0.048), and the time of chest tube removal (per day postoperatively) (OR=1.116, 95% CI 1.038-1.195, P=0.002) were found to be significantly associated with PoAF. The area under the ROC curve was 0.707 (95% CI 0.519-0.799). 86.9% patients were successfully converted to sinus rhythm. Compared with the non-PoAF group, the PoAF group had significantly greater risks of prolonged air leakage, postoperative acute coronary syndrome, longer ICU stays, and longer hospital stays. Conclusion: Male sex, LAD≥40 mm, HTN without regular treatment, a history of hyperthyroidism, surgery of the left upper lobe, postoperative BG, and the time of chest tube removal were associated with PoAF. These findings may help clinicians identify high-risk patients and take preventive measures to minimize the incidence and adverse prognosis of PoAF.
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Fibrilação Atrial , Cirurgia Torácica Vídeoassistida , Humanos , Masculino , Fibrilação Atrial/diagnóstico , Fibrilação Atrial/cirurgia , Fibrilação Atrial/epidemiologia , Fibrilação Atrial/etiologia , Fibrilação Atrial/fisiopatologia , Fatores de Risco , Feminino , Idoso , Estudos Retrospectivos , Cirurgia Torácica Vídeoassistida/efeitos adversos , Incidência , Resultado do Tratamento , Medição de Risco , Pessoa de Meia-Idade , Fatores de Tempo , Fatores Etários , Pneumonectomia/efeitos adversos , Pequim/epidemiologia , Idoso de 80 Anos ou maisRESUMO
Designing electrocatalysts for seawater splitting remains challenging. A Ru-Co alloy supported by an N-doped carbon substrate catalyst has been designed using etching and a low-temperature treatment method. Studies show that the superior performance of this catalyst is related to the hollow-structured N-doped carbon frame and surface reconstruction of the Ru-Co alloy.
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Basic leucine zipper (bZIP) transcription factors (TFs) regulate plant development, growth, and secondary metabolism. The formation of red bark of new ornamental cultivar 'Gantong 1' is regulated mainly by anthocyanin anabolism. However, it is unclear whether and which bZIP TFs are involved in this process. We identified 89 genes encoding CcbZIP TFs in Cinnamomum camphora genome that could be divided into 14 subfamilies with similar gene structures and conserved motifs. CcbZIP38 and CcbZIP57 were highly conserved compared to HY5 in Arabidopsis thaliana and they were highly expressed in the bark and leaves of 'Gantong 1' at different stages. The target gene enrichment analysis showed that indicating indirect involvement of CcbZIP38 and CcbZIP57 in the regulation of anthocyanin synthesis. Our study contributes to understanding the molecular mechanism of anthocyanin synthesis regulation by CcbZIP TFs and provides a theoretical basis for genetic improvement of ornamental traits in C. camphora.
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Genetically lean and obese individuals have distinct intestinal microbiota and function. However, the underlying mechanisms of the microbiome heterogeneity and its regulation on epithelial function such as intestinal stem cell (ISC) fate remain unclear. Employing pigs of genetically distinct breeds (obese Meishan and lean Yorkshire), this study reveals transcriptome-wide variations in microbial ecology of the jejunum, characterized by enrichment of active Lactobacillus species, notably the predominant Lactobacillus amylovorus (L. amylovorus), and lactate metabolism network in obese breeds. The L. amylovorus-dominant heterogeneity is paralleled with epithelial functionality difference as reflected by highly expressed GPR81, more proliferative ISCs and activated Wnt/ß-catenin signaling. Experiments using in-house developed porcine jejunal organoids prove that live L. amylovorus and its metabolite lactate promote intestinal organoid growth. Mechanistically, L. amylovorus and lactate activate Wnt/ß-catenin signaling in a GPR81-dependent manner to promote ISC-mediated epithelial proliferation. However, heat-killed L. amylovorus fail to cause these changes. These findings uncover a previously underrepresented role of L. amylovorus in regulating jejunal stem cells via Lactobacillus-lactate-GPR81 axis, a key mechanism bridging breed-driven intestinal microbiome heterogeneity with ISC fate. Thus, results from this study provide new insights into the role of gut microbiome and stem cell interactions in maintaining intestinal homeostasis.
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BACKGROUND: It's necessary to reassess the patients' short-term and long-term postoperative outcome in the post-COVID-19 era. This study aims to provide more comprehensive evidence regarding the timing of surgery after COVID-19 infection among the vaccinated population upon Omicron variant, considering the duration after acute COVID-19 infection, severity of COVID-19, patients' comorbidities, and the full course quality of postoperative recovery. MATERIALS AND METHODS: This is a single-center cohort study. Patients diagnosed with preoperative COVID-19 infection were consecutively included before surgery. Patients' demographics, surgical characteristics, and COVID-19 related factors were documented. Exposure was the time interval from COVID-19 infection to surgery. The primary outcome was postoperative complications within 30 days. The secondary outcomes included postoperative mortality within 30 days, functional disability at 6 and 12 months after surgery. RESULTS: A total of 4953 patients were included, and postoperative complications occurred in 353 patients (7.1%) within 30 days after surgery. Time interval from COVID-19 infection to surgery was associated with postoperative complications within 30 days after surgery (adjusted odds ratio [aOR] per day: 0.99; 95% CI, 0.99-1.00; P<0.01), as well as postoperative 6- and 12-month functional disability ([aOR]: 1.00; 95% CI, 0.99-1.00; P<0.01; and [aOR] 0.99; 95% CI, 0.98-1.00; P=0.01, respectively). Delaying surgery beyond a time interval of 2 weeks was associated with reduced postoperative 30-day complications ([aOR]: 0.63; 95% CI, 0.43-0.91; P=0.01) and mortality ([aOR]: 0.07; 95% CI, 0.01-0.38; P<0.01). Meanwhile, delaying surgery beyond a time interval of 7 weeks was associated with reduced functional disability at both 6-month ([aOR]: 0.67; 95% CI, 0.58-0.79; P<0.01) and 12-month postoperatively ([aOR]: 0.71; 95% CI, 0.53-0.95; P=0.02). CONCLUSION: A 2 weeks delay after COVID-19 infection is necessary for decreasing short-term postoperative risks, and a longer waiting period could be beneficial for long-term functional recovery.
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BACKGROUND: Endotracheal intubation is challenging during cardiopulmonary resuscitation, and video laryngoscopy has showed benefits for this procedure. The aim of this study was to compare the effectiveness of various intubation approaches, including the bougie first, preloaded bougie, endotracheal tube (ETT) with stylet, and ETT without stylet, on first-attempt success using video laryngoscopy during chest compression. METHODS: This was a randomized crossover trial conducted in a general tertiary teaching hospital. We included anesthesia residents in postgraduate year one to three who passed the screening test. Each resident performed intubation with video laryngoscopy using the four approaches in a randomized sequence on an adult manikin during continuous chest compression. The primary outcome was the first-attempt success defined as starting ventilation within a one minute. RESULTS: A total of 260 endotracheal intubations conducted by 65 residents were randomized and analyzed with 65 procedures in each group. First-attempt success occurred in 64 (98.5%), 57 (87.7%), 56 (86.2%), and 46 (70.8%) intubations in the bougie-first, preloaded bougie, ETT with stylet, and ETT without stylet approaches, respectively. The bougie-first approach had a significantly higher possibility of first-attempt success than the preloaded bougie approach [risk ratio (RR) 8.00, 95% confidence interval (CI) 1.03 to 62.16, P = 0.047], the ETT with stylet approach (RR 9.00, 95% CI 1.17 to 69.02, P = 0.035), and the ETT without stylet approach (RR 19.00, 95% CI 2.62 to 137.79, P = 0.004) in the generalized estimating equation logistic model accounting for clustering of intubations operated by the same resident. In addition, the bougie first approach did not result in prolonged intubation or increased self-reported difficulty among the study participants. CONCLUSIONS: The bougie first approach with video laryngoscopy had the highest possibility of first-attempt success during chest compression. These results helped inform the intubation approach during CPR. However, further studies in an actual clinical environment are warranted to validate these findings. TRIAL REGISTRATION: Clinicaltrials.gov; identifier: NCT05689125; date: January 18, 2023.
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Reanimação Cardiopulmonar , Estudos Cross-Over , Intubação Intratraqueal , Laringoscopia , Manequins , Gravação em Vídeo , Intubação Intratraqueal/métodos , Intubação Intratraqueal/instrumentação , Humanos , Laringoscopia/métodos , Laringoscopia/instrumentação , Reanimação Cardiopulmonar/métodos , Masculino , Feminino , Adulto , Internato e Residência/métodos , Técnicas e Procedimentos Assistidos por VídeoRESUMO
The proto-oncogene MYC encodes a nuclear transcription factor that has an important role in a variety of cellular processes, such as cell cycle progression, proliferation, metabolism, adhesion, apoptosis, and therapeutic resistance. MYC amplification is consistently observed in aggressive forms of several solid malignancies and correlates with poor prognosis and distant metastases. While the tumorigenic effects of MYC in patients with head and neck squamous cell carcinoma (HNSCC) are well known, the molecular mechanisms by which the amplification of this gene may confer treatment resistance, especially to immune checkpoint inhibitors, remains under-investigated. Here we present a unique case of a patient with recurrent/metastatic (R/M) HNSCC who, despite initial response to nivolumab-based treatment, developed rapidly progressive metastatic disease after the acquisition of MYC amplification. We conducted comparative transcriptomic analysis of this patient's tumor at baseline and upon progression to interrogate potential molecular processes through which MYC may confer resistance to immunotherapy and/or chemoradiation and used TCGA-HNSC dataset and an institutional cohort to further explore clinicopathologic features and key molecular networks associated with MYC amplification in HNSCC. This study highlights MYC amplification as a potential mechanism of immune checkpoint inhibitor resistance and suggest its use as a predictive biomarker and potential therapeutic target in R/M HNSCC.
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Intestinal stem cells (ISCs) play a pivotal role in gut physiology by governing intestinal epithelium renewal through the precise regulation of proliferation and differentiation. The gut microbiota interacts closely with the epithelium through myriad of actions, including immune and metabolic interactions, which translate into tight connections between microbial activity and ISC function. Given the diverse functions of the gut microbiota in affecting the metabolism of macronutrients and micronutrients, dietary nutrients exert pronounced effects on host-microbiota interactions and, consequently, the ISC fate. Therefore, understanding the intricate host-microbiota interaction in regulating ISC homeostasis is imperative for improving gut health. Here, we review recent advances in understanding host-microbiota immune and metabolic interactions that shape ISC function, such as the role of pattern-recognition receptors and microbial metabolites, including lactate and indole metabolites. Additionally, the diverse regulatory effects of the microbiota on dietary nutrients, including proteins, carbohydrates, vitamins, and minerals (e.g. iron and zinc), are thoroughly explored in relation to their impact on ISCs. Thus, we highlight the multifaceted mechanisms governing host-microbiota interactions in ISC homeostasis. Insights gained from this review provide strategies for the development of dietary or microbiota-based interventions to foster gut health.
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Microbioma Gastrointestinal , Homeostase , Interações entre Hospedeiro e Microrganismos , Mucosa Intestinal , Células-Tronco , Humanos , Microbioma Gastrointestinal/fisiologia , Células-Tronco/metabolismo , Animais , Mucosa Intestinal/microbiologia , Mucosa Intestinal/metabolismo , Intestinos/microbiologia , Bactérias/metabolismo , Bactérias/classificaçãoRESUMO
The facet joint injection is the most common procedure used to release lower back pain. In this paper, we proposed a deep learning method for detecting and segmenting facet joints in ultrasound images based on convolutional neural networks (CNNs) and enhanced data annotation. In the enhanced data annotation, a facet joint was considered as the first target and the ventral complex as the second target to improve the capability of CNNs in recognizing the facet joint. A total of 300 cases of patients undergoing pain treatment were included. The ultrasound images were captured and labeled by two professional anesthesiologists, and then augmented to train a deep learning model based on the Mask Region-based CNN (Mask R-CNN). The performance of the deep learning model was evaluated using the average precision (AP) on the testing sets. The data augmentation and data annotation methods were found to improve the AP. The AP50 for facet joint detection and segmentation was 90.4% and 85.0%, respectively, demonstrating the satisfying performance of the deep learning model. We presented a deep learning method for facet joint detection and segmentation in ultrasound images based on enhanced data annotation and the Mask R-CNN. The feasibility and potential of deep learning techniques in facet joint ultrasound image analysis have been demonstrated.
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Purpose: To explore the influencing factors to predict the negative nucleic acid conversion time and ORF1ab gene CT value changes in patients with asymptomatic and mild COVID-19. Patients and Methods: A total of 73,456 patients with asymptomatic and mild COVID-19 admitted to the Mobile Cabin Hospital in Shanghai from April 3 to April 23, 2022 were selected as the research objects. Epidemiological, clinical, and laboratory data were collected. Correlation analysis was performed. Results: In patients <18 years old and ≥65 years old, COVID-19 vaccine can shorten the negative nucleic acid conversion time, which is reflected in the lower median or 75% quantile (P<0.001, P<0.05). In patients with underlying diseases, the negative nucleic acid conversion time of booster vaccination and complete vaccination was lower than that of non-vaccinated group (P<0.001, P<0.05). In patients ≤18 years of age or >65 years of age, patients with comorbidity and patients with symptoms, compared with patients 18-65 years of age, patients without comorbidity and patients without symptoms, there was a greater difference in the rate of rise of CT values between vaccinated and unvaccinated patients (P<0.05). Conclusion: The time of nucleic acid conversion to negative in patients with asymptomatic and mild COVID-19 is affected by age, comorbidity, and first nucleic acid CT value. Vaccination could shorten the negative nucleic acid conversion time of the older population, those with complications or symptoms. The vaccination of older patients does not increase the risk of symptoms.
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Selenium (Se) and cadmium (Cd) usually co-existed in soils, especially in areas with Se-rich soils in China. The potential health consequences for the local populations consuming foods rich in Se and Cd are unknown. Cardamine hupingshanensis (HUP) is Se and Cd hyperaccumulator plant that could be an ideal natural product to assess the protective effects of endogenous Se against endogenous Cd-caused bone damage. Male C57BL/6 mice were fed 5.22â¯mg/kg cadmium chloride (CdCl2) (Cd 3.2â¯mg/kg body weight (BW)), or HUP solutions containing Cd 3.2â¯mg/kg BW and Se 0.15, 0.29 or 0.50â¯mg/kg BW (corresponding to the HUP0, HUP1 and HUP2 groups) interventions. Se-enriched HUP1 and HUP2 significantly decreased Cd-induced femur microstructure damage and regulated serum bone osteoclastic marker levels and osteogenesis-related genes. In addition, endogenous Se significantly decreased kidney fibroblast growth factor 23 (FGF23) protein expression and serum parathyroid hormone (PTH) levels, and raised serum calcitriol (1,25(OH)2D3). Furthermore, Se also regulated gut microbiota involved in skeletal metabolism disorder. In conclusion, endogenous Se, especially with higher doses (the HUP2 group), positively affects bone formation and resorption by mitigating the damaging effects of endogenous Cd via the modulation of renal FGF23 expression, circulating 1,25(OH)2D3 and PTH and gut microbiota composition.
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Cardamine , Selênio , Camundongos , Animais , Selênio/farmacologia , Selênio/metabolismo , Cádmio , Camundongos Endogâmicos C57BL , SoloRESUMO
INTRODUCTION: Early oral intake (EOI) is supposed to be safe and beneficial to patients' recovery. However, the optimal timing of resuming oral intake has not been validated in thyroid and parathyroid surgery. On the other hand, a modified electromyography (EMG) endotracheal intubation protocol with real-time EMG monitoring during video laryngoscope/fibrescope-guided intubation was presented in 2022, which was regarded as an effective way to shorten the intubation time. We aimed to use Quality of Recovery-15 (QoR-15) questionnaire to compare the efficacy and safety of different EMG endotracheal intubation protocols combined with different postoperative oral intake strategy in thyroid and parathyroid surgery. METHODS AND ANALYSIS: This prospective, single-centre, 2×2 factorial, randomised controlled trial will be conducted in the Peking Union Medical College Hospital (PUMCH), China. We plan to recruit 200 adult patients who will receive thyroid or parathyroid surgery under intraoperative nerve monitoring. Eligible patients will be randomly divided into two groups, which will receive either the modified intubation protocol (M group) or conventional intubation process (C group). After patients enter postanaesthesia care unit and Steward scores ≥4, they will be randomly divided into two groups again, which will receive early resumption of oral intake (E group) or delayed resumption of oral intake (D group). Patients will be followed up during hospitalisation and the QoR-15 questionnaire will be administered to compare the quality of recovery on the day before surgery (T0), the first day after surgery (T1) and the day of discharge (T2). The primary outcome is the QoR-15 scores at T1. ETHICS AND DISSEMINATION: The study protocol has been approved by the Research Ethics Committee of Peking Union Medical College Hospital (IRB K-2501). All participants will give written informed consent before participation. The results from this study will be shared at conferences and disseminated in international journals. TRIAL REGISTRATION NUMBER: NCT05624463.
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Hospitalização , Glândula Tireoide , Adulto , Humanos , Centros de Atenção Terciária , Estudos Prospectivos , Intubação Intratraqueal , Ensaios Clínicos Controlados Aleatórios como AssuntoRESUMO
Background: In recent years, baroreflex activation therapy (BAT) has been utilized to treat heart failure with reduced ejection fraction (HFrEF). However, the supporting literature on its efficacy and safety is still limited. This investigation elucidates the effects of BAT in HFrEF patients to provide a reference for future clinical applications. Methods: This investigation follows Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines. Relevant investigations on the use of BAT in HFrEF patients were searched and selected from 5 databases, including Web of Science, MEDLINE, PubMed, Embase, and Cochrane Library, from inception to December 2022. The methodological quality of eligible articles was assessed via the Cochrane risk of bias tool, and for meta-analysis, RevMan (5.3) was used. Results: Randomized controlled trials comprising 343 participants were selected for the meta-analysis, which revealed that in HFrEF patients, BAT enhanced the levels of LVEF (MD: 2.97, 95 % CI: 0.53 to 5.41), MLHFQ (MD: -14.81, 95 % CI: -19.57 to -10.06) and 6MWT (MD: 68.18, 95 % CI: 51.62 to 84.74), whereas reduced the levels of LVEDV (MD: -15.79, 95 % CI: -32.96 to 1.37) and DBP (MD: -2.43, 95 % CI: -4.18 to -0.68). Conclusion: It was concluded that BAT is an efficient treatment option for HFrEF patients. However, to validate this investigation, further randomized clinical trials with multiple centers and large sample sizes are needed.
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Spatial transcriptomics (ST) has enhanced RNA analysis in tissue biopsies, but interpreting these data is challenging without expert input. We present Automated Tissue Alignment and Traversal (ATAT), a novel computational framework designed to enhance ST analysis in the context of multiple and complex tissue architectures and morphologies, such as those found in biopsies of the gastrointestinal tract. ATAT utilizes self-supervised contrastive learning on hematoxylin and eosin (H&E) stained images to automate the alignment and traversal of ST data. This approach addresses a critical gap in current ST analysis methodologies, which rely heavily on manual annotation and pathologist expertise to delineate regions of interest for accurate gene expression modeling. Our framework not only streamlines the alignment of multiple ST samples, but also demonstrates robustness in modeling gene expression transitions across specific regions. Additionally, we highlight the ability of ATAT to traverse complex tissue topologies in real-world cases from various individuals and conditions. Our method successfully elucidates differences in immune infiltration patterns across the intestinal wall, enabling the modeling of transcriptional changes across histological layers. We show that ATAT achieves comparable performance to the state-of-the-art method, while alleviating the burden of manual annotation and enabling alignment of tissue samples with complex morphologies.