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Filter by:The purpose of this study is to assess efficacy and safety of patients who receive Adebrelimab combined with chemotherapy±chest radiotherapy as first-line treatment of extensive stage small cell lung cancer in the real world.
The proposed intervention in this Youth Participatory Action Research (YPAR) proposal will improve knowledge and awareness of the health impacts of air pollution exposure, will elevate the youth voice, improve youth self-efficacy and lead to behavior changes that would reduce exposure to air pollution in a high school setting. These outcomes will be accomplished through the introduction of a new air quality curriculum, called AirActions, into freshman science classes, and the establishment of an after-school air quality monitoring program. All students enrolled in freshman Honors Biology (Pueblo East and Montrose High Schools), Intro to Agriculture (The STEAD School) and Environmental Science (Grand Junction High School) will participate in the new air quality curriculum, as it will be built into the existing lesson plans. For the after-school monitoring program, the PI and participating teachers (Letters A and B) will recruit 10 to 15 students at each school to be involved in the Student Research Cohort (SRC). Information on this program and how to apply will be shared with students through their health and science classes, included in the school newsletter, and posted on billboards around the school. Students will be identified within the following inclusion criteria: 1) freshman or sophomores in high school and 2) participation in the AirActions curriculum. New students will be recruited each year to keep a consistent group as students leave and/or graduate. New students will be brought up to speed by carry-over students, and each new year will represent a separate SRC dedicated to a specific goal.
All heart surgery patients universally require hydration, which is given through a vein in the arm, but practices for treating patients are not universal. There are disagreements about whether crystalloids should be used alone or in combination with albumin. This question has important implications because albumin is an expensive blood product in relatively limited supply, and 20% of its use is by heart surgery patients. The goal of this study is to learn more about how crystalloids and albumin are used during heart surgery, as well as, key patient outcomes.
A prospective study that will take place in the hydrosonography clinic, comparing patients with an intact uterus to those who had a caesarean section. Eligible patients will preform a transvaginal ultrasound for evaluation of presence of a niche. After fixation of the transcervical catheter, we will flush 2 ml sterile NaCl 0.9% into the uterine cavity and aspirate the fluid. After collecting all samples, the samples will be snap frozen and stored at -80o C, until they undergo an immunological analysis.
Sudden cardiac death (SCD) is the final result of cardiac arrest (CA) , defined as an abrupt and unexpected loss of cardiovascular function resulting in circulatory collapse and death. Up to 50% of cardiac deaths in Europe are due to CA. The estimated mortality of CA is approximately 90%, and significant functional and/or cognitive disabilities often persist among those who survive. The advent of the implantable cardioverter-defibrillator (ICD) has revolutionized the prevention of SCD in high-risk patients with reduced left ventricular ejection fraction (LVEF<35%). However, the algorithm recommended by current guidelines based on LVEF, considered the only parameter to identify high-risk patients, cannot stratify the population and the spectrum of risk with high accuracy. Although the risk of CA is higher among patients with LVEF<35% and NYHA class>1, because of the enormity of the population size at risk (i.e., with organic heart disease and LVEF>35%), most SCD does occur in patients with LVEF>35%. Additionally, the majority of pts who receive the ICD for primary prevention of SCD will not benefit from the device (in the Sudden Cardiac Death in Heart Failure Trial published in 2005, the rate of appropriate ICD therapy was 21% at five years), and/or will experience some side effects of it. In the Israeli registry of patients who underwent ICD (n= 1729) or cardiac resynchronization therapy (n= 1326), the 12-year cumulative incidence of adverse events was 20% for inappropriate shock, 6% for device-related infection, and 17% for lead failure. Moreover, recent improvements in drug treatment for HF and myocardial revascularization have further reduced the incidence of SCD in pts with low LVEF. Finally, pts with advanced HF are unlikely to benefit from ICD therapy because of the high rates of non-arrhythmic deaths. Therefore, improved risk stratification approaches to guide the selection of pts for ICD implantation are needed, and only a multiparametric approach may aim to personalize the risk prediction of SCD across the broad spectrum of the phenotypes of HF patients. The RESPECT project has been designed to personalize the risk of SCD by integrating and interpreting information highly multidisciplinary: clinical and bio-humoral, genetics and electrocardiography, conventional and advanced cardiac imaging, and data science. The investigators hypothesized that machine learning models capable of dealing with non-linearities and complex interactions among predictors, including genetic, clinical, electrocardiographic, bio-humoral, echocardiographic, cardiac magnetic resonance (CMR), and nuclear cardiology data, would have superior accuracy in predicting the occurrence of SCD compared with the currently recommended metrics of NYHA class and LVEF by two-dimensional echocardiography and that the personalized risk prediction of SCD will translate in more cost-effective use of ICDs. In addition, the investigators will use the multiparametric predictive models to develop a cloud-computing app that will allow clinicians to predict the risk of occurrence of SCD based on specific covariate profiles of individual patients.
Investigators evaluate whether differences exsit in acute coronary syndrome（ACS） patients with ejection <45% between participants who take vericiguat regularly and those who donot.
This clinical trial aims to assess the efficacy of Optical Coherence Tomography (OCT) in the early diagnosis of oral cancer. It focuses on Oral Potentially Malignant Disorders (OPMDs) as precursors to Oral Squamous Cell Carcinoma (OSCC). Despite the availability of oral screening, diagnostic delays persist, underscoring the importance of exploring non-invasive methodologies. The OCT technology provides cross-sectional analysis of biological tissues, enabling a detailed evaluation of ultrastructural oral mucosal features. The trial aims to compare OCT preliminary evaluation with traditional histology, considered the gold standard in oral lesion diagnosing. It seeks to create a database of pathological OCT data, facilitating the non invasive identification of carcinogenic processes. The goal is to develop a diagnostic algorithm based on OCT, enhancing its ability to detect characteristic patterns such as the keratinized layer, squamous epithelium, basement membrane, and lamina propria in oral tissues affected by OPMDs and OSCC. Furthermore, the trial aims to implement Artificial Intelligence (AI) in OCT image analysis. The use of machine learning algorithms could contribute to a faster and more accurate assessment of images, aiding in early diagnosis. The trial aims to standardize the comparison between in vivo OCT images and histological analysis, adopting a site-specific approach in biopsies to improve correspondence between data collected by both methods. In summary, the trial not only evaluates OCT as a diagnostic tool but also aims to integrate AI to develop a standardized approach that enhances the accuracy of oral cancer diagnosis, providing a significant contribution to clinical practice.
The aim of this study was to investigate the effect of implementing snap-needle therapy combined with ginger paste during anesthesia recovery on the recovery of gastrointestinal function after gynecological laparoscopy.
Substantial variability exists in the onset, and rate of degeneration across individuals with Motor Neurone Disease (MND) or Amyotrophic Lateral Sclerosis (ALS). This variability requires biomarkers that accurately classify and reliably track clinical subtypes as the disease progresses. Degeneration occurs in the brain and spinal cord, however, non-invasive diagnosis of spinal cord function remains highly challenging due to its unique alignment in spine. Disruption of complex spinal and cortical circuits that transmit and process neural signals for position sense and movement has not been adequately captured in the neurophysiological profiling of ALS patients. The overarching aim of this study is to reveal and quantify the extent of change in the sensorimotor integration and its potential contribution to network disruption in ALS.
This phase I/II trial tests the safety, side effects, and effectiveness of axatilimab in combination with retifanlimab and paclitaxel for the treatment of patients with a solid tumor that may have spread from where it first started to nearby tissue, lymph nodes, or distant parts of the body (advanced) or that has spread from where it first started (primary site) to other places in the body (metastatic). Axatilimab is a monoclonal antibody that may interfere with the ability of tumor cells to grow and spread. Immunotherapy with monoclonal antibodies, such as retifanlimab, may help the body's immune system attack the cancer, and may interfere with the ability of tumor cells to grow and spread. Paclitaxel is in a class of medications called antimicrotubule agents. It stops cancer cells from growing and dividing and may kill them. Giving axatilimab in combination with retifanlimab and paclitaxel may be safe, tolerable and/or effective in treating patients with advanced or metastatic solid tumors.