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]; p=0.004). Multivariate logistic regression analysis revealed that decreased serum CUC level at the index PCI was independently associated with subsequent revascularization (odds ratio, 0.98; 95% confidence interval, 0.969-1.000). After adjusting for 16 cardiovascular risk factors, the serum CUC level at the index PCI and follow-up and the absolute change in serum CUC level from the index PCI to follow-up were significantly lower in the revascularization group than those in the non-revascularization group.

Serum CUC level at index PCI was independently associated with subsequent revascularization after PCI. find more Continuous assessment of HDL functionality by CUC might help predict subsequent revascularization after PCI.

Serum CUC level at index PCI was independently associated with subsequent revascularization after PCI. Continuous assessment of HDL functionality by CUC might help predict subsequent revascularization after PCI.

Cardiovascular health (CVH), as many other aspects of health, is socially patterned. However, little is known about the socioeconomic determinants of following a more or less favourable pattern of CVH change at midlife.

We used data on 11,049 participants in the Atherosclerosis Risk in Communities (ARIC) study, a prospective, population-based, bi-racial cohort that included participants aged 44-66 years in 1987-1989, who attended a second visit 6 years later. At both visits, CVH was assessed with the American Heart Association's Life's Simple 7 (LS7) score ranging 0-14, based on 7 metrics cholesterol, blood glucose, blood pressure, smoking, body mass index, physical activity, and diet. An LS7 score ≥8 was considered ideal, <8 was considered poor. Multivariable logistic regression models were used. In a first sample (N=4416) of participants who started with a poor CVH, we modelled odds of improvement (Poor-Ideal vs. Poor-Poor). In a second sample (N=6633) with baseline ideal CVH, we modelled odds of detr time Black people, with low income, low education, and who are unemployed. Efforts to reduce income and educational gaps and address structural racism, which shapes the distribution of health-promoting and health-harming resources, are paramount to reduce inequities in CVH.

We identified vulnerable groups at higher risk of worsening their CVH over time Black people, with low income, low education, and who are unemployed. Efforts to reduce income and educational gaps and address structural racism, which shapes the distribution of health-promoting and health-harming resources, are paramount to reduce inequities in CVH.Anaesthesia exposure early in life potentially impairs neurobehavioural development. A recent study in the Journal investigated the possibility that progesterone mitigates anaesthesia-induced developmental neurotoxicity in neonatal rats exposed to sevoflurane. The novel findings show that the steroid hormone progesterone protects against development of behavioural alterations caused by sevoflurane. The protective mechanism is proposed to relate to anti-inflammatory properties of progesterone, which brings up important questions regarding the role of inflammation in mediating the neurobehavioural alterations in anaesthesia-induced developmental neurotoxicity. We discuss this mechanism and encourage new research that may clarify the underlying mechanisms of progesterone-induced protection and extend these findings into a translational model.Despite substantial advocacy for the scientific community to focus on sex-specific differences in biology, the role of sex hormones remains inadequately studied in the field of anaesthesia-induced developmental neurotoxicity. A recent study by Yang and colleagues published in this journal addresses the importance of studying sex hormones during critical stages of brain development. The authors demonstrate that exogenous testosterone administered to immature mice pups around the time of sevoflurane exposure increased brain levels of testosterone, attenuated tau phosphorylation, inhibited glycogen synthase kinase-3β activation and its interaction/binding with tau, reversed sevoflurane-induced decreases in neuronal activation, and attenuated cognitive impairments. Their well-designed experiments suggest an important role that testosterone plays in balancing several important pathways crucial for neuronal protection and normal function of neuronal circuits in the male mammalian brain.

Patients with liver-only metastatic pancreatic adenocarcinoma have traditionally been offered palliative chemotherapy alone. Recent studies have explored the role of surgical resection among patients with limited metastatic disease. National practice patterns and the impact of surgery among these patients remains unknown.

The National Cancer Database was queried for all patients with pancreatic adenocarcinoma between 2010 and 2015. The primary outcome was overall survival from the time of diagnosis. Patients with liver-only metastatic disease were included. Univariable and multivariable logistic regression models were constructed to determine the association of patient, hospital, and regional factors with receipt of surgical resection. A propensity score-matched cohort (11) was generated by matching patient- and tumor-related factors (age, sex, race, comorbidity burden, primary tumor site, primary tumor size) among patients with liver-only stage IV pancreatic adenocarcinoma who received chemotherapy alonestudy suggests that pancreatic resection in patients with liver metastases, in combination with chemotherapy and/or chemoradiation, may be associated with improved survival in well-selected patients. However, attempts at an aggressive surgical approach for patients with liver-only stage IV pancreatic adenocarcinoma patients should only be performed only under a well-designed prospective clinical trial.The relationship between diabetes and heart failure is complex and bidirectional. Nevertheless, the existence of a cardiomyopathy attributable exclusively to diabetes has been and is still the subject of controversy, due, among other reasons, to a lack of a consensus definition. There is also no unanimous agreement in terms of the physiopathogenic findings that need to be present in the definition of diabetic cardiomyopathy or on its classification, which, added to the lack of diagnostic methods and treatments specific for this disease, limits its general understanding. Studies conducted on diabetic cardiomyopathy, however, suggest a unique physiopathogenesis different from that of other diseases. Similarly, new treatments have been shown to play a potential role in this disease. The following review provides an update on diabetic cardiomyopathy.The occurrence of acute aortic dissection with the initiating tear in the ascending aorta superimposed on cardiovascular syphilis is an exceedingly rare occurrence. Such was the case, however, in a recently seen patient who presented with typical features of acute dissection (type A). Operative repair yielded the entire ascending aorta to examine both grossly and histologically and classic features of both conditions were observed.Unprotected left main (LM) percutaneous coronary intervention (PCI) at centers without onsite cardiac surgery remains controversial. We aimed to evaluate the effect of onsite cardiac surgery on short-term and long-term outcomes in patients who had unprotected LM PCI. We analyzed Victorian Cardiac Outcomes Registry data on consecutive patients who had unprotected LM PCI at cardiac surgical centers (SCs) and non-SCs (NSCs) between January 2014 to December 2018. Compared with the SC group (n = 594, 81%), the NSC group (n = 136) were younger (69 vs 72 years) and presented with more ST-elevation myocardial infarction (35% vs 16%) and cardiogenic shock (25% vs 15%), with higher rates of preprocedural intubation (17% vs 11%) and mechanical circulatory support (20% vs 9.3%), all p less then 0.01. Unadjusted in-hospital mortality (23% vs 11.4%), and 30-day major adverse cardiac events (composite of mortality, myocardial infarction, stent thrombosis, or unplanned revascularization) (26% vs 16%) were higher in NSC patients, all p less then 0.01. However, following multivariable adjustment, SC was neither a predictor of in-hospital mortality (odds ratio 0.68, 95% confidence interval [CI] 0.32 to 1.43, p = 0.31), 30-day mortality (odds ratio 0.70, 95% CI 0.33 to 1.48, p = 0.35) nor long-term survival at 60 months (hazard ratio 0.88, 95% CI 0.62 to 1.27, p = 0.51). Propensity score analysis confirmed the neutral effect of onsite cardiac surgery on long-term survival (hazard ratio 0.99, 95% CI 0.66 to 1.50, p = 0.97). In conclusion, patients who underwent unprotected LM PCI at NSCs presented with greater acuity of illness. Despite this, the availability of onsite cardiac surgical support was not associated with in-hospital, 30-day, or long-term outcomes underscoring the safety of LM PCI in NSCs.High-resolution manometry (HRM) is the primary procedure used to diagnose esophageal motility disorders. Its manual interpretation and classification, including evaluation of swallow-level outcomes and then derivation of a study-level diagnosis based on Chicago Classification (CC), may be limited by inter-rater variability and inaccuracy of an individual interpreter. We hypothesized that an automatic diagnosis platform using machine learning and artificial intelligence approaches could be developed to accurately identify esophageal motility diagnoses. Further, a multi-stage modeling framework, akin to the step-wise approach of the CC, was utilized to leverage advantages of a combination of machine learning approaches including deep-learning models and feature-based models. Models were trained and tested using a dataset comprised of 1741 patients' HRM studies with CC diagnoses assigned by expert physician raters. In the swallow-level stage, three models based on convolutional neural networks (CNNs) were develoArrhythmia is a common class of Cardiovascular disease which is the cause for over 31% of all death over the world, according to WHOs' report. Automatic detection and classification of arrhythmia, as an effective tool of early warning, has recently been received more and more attention, especially in the applications of wearable devices for data capturing. However, different from traditional application scenarios, wearable electrocardiogram (ECG) devices have some drawbacks, such as being subject to multiple abnormal interferences, thus making accurate ventricular contraction (PVC) and supraventricular premature beat (SPB) detection to be more challenging. The traditional models for heartbeat classification suffer from the problem of large-scale parameters and the performance in dynamic ECG heartbeat classification is not satisfactory. In this paper, we propose a novel light model Lightweight Fussing Transformer to address these problems. We developed a more lightweight structure named LightConv Attention (LCA) to replace the self-attention of Fussing Transformer. LCA has reached remarkable performance level equal to or higher than self-attention with fewer parameters. In particular, we designed a stronger embedding structure (Convolutional Neural Network with attention mechanism) to enhance the weight of features of internal morphology of the heartbeat. Furthermore, we have implemented the proposed methods on real datasets and experimental results have demonstrated outstanding accuracy of detecting PVC and SPB.