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Filter by:This is a retrospective, multicenter study designed to collect data on the diagnostic, therapeutic management and outcome of patients diagnosed with primary mediastinal lymphoma who have progressed or relapsed with central nervous system (CNS) involvement. Through this study, an international data set from 6 different countries will be collected on clinical factors, anti-lymphoma therapy administered alone or in conjunction with CNS prophylaxis, re-biopsy site information when available, dose intensity of lymphoma therapy received at recurrence, and patient outcome. In addition, to better characterize the pathologic features of this rare entity, a central pathologic review of the initial diagnosis and, if available, histologic confirmation of recurrence will be performed.
We designed this study to dtermine whether invasive mechanical ventilation (MV) would have an impact on the reclassification of patients with acute hypoxemic respiratory failure (AHRF) -treated previously with non-invasive respiratory support- into categories of severity (mild, moderate, and severe). Our hypothesis is that the assessment of PaO2/FiO2 ratio on PEEP greater or equal to 5 cmH2O after intubation, in patients labeled as mild/moderate/severe AHRF while on non-invasive respiratory support, would identify that a marked proportion of patients would change the degree of severity after a brief period of invasive MV
This phase I/II trial tests the safety and side effects of psilocybin in combination with therapy for the treatment of patients with metastatic cancer and symptoms of anxiety and/or depression. Psilocybin is a substance being studied in conjunction with therapy for the treatment of anxiety and depression in patients with cancer. In this study, the psilocybin being used is derived from the mushroom psilocybe cubensis using a patented process that results in a pharmaceutical grade version of psilocybin. Psilocybin acts by activating serotonin receptors on brain cells which can change perceptions and patterns of thinking in ways that may decrease anxiety.
This trial assesses the acceptability and preliminary efficacy of Empowered, Queer, Quitting, and Living (EQQUAL) smoking-cessation intervention for sexual and gender minority young adult smokers. The prevalence of tobacco use among sexual and gender minority (SGM) young adults is more than twice as high as non-SGM young adults, suggesting that existing SGM-related disparities in tobacco use will persist well into the foreseeable future unless sustained efforts are undertaken to address them. EQQUAL is an online smoking cessation intervention designed specifically for SGM young adult smokers, and may help them quit smoking.
Building on limitations of prior research, the investigators proposed to develop the Mindful and Self-Compassionate Care Program (MASC) to help caregivers of persons with Alzheimer Disease and Related Dementias (ADRD) manage stress associated with the general caregiver experience including stress stemming from managing challenging patient behaviors. MASC teaches: (1) mindfulness skills; (2) compassion and self-compassion skills; and (3) behavioral management skills. MASC also provides psychoeducation and group-based training and skill practice to facilitate skill uptake and integration within the caregiver experience and tasks.
The purpose of this study is to investigate the association between time to treatment (defined as date of pathological diagnosis to date of start treatment) and disease free survival in patients with high risk cutaneous squamous cell carcinoma in the head-neck region.
In this study, an artificial intelligence model to detect squamous cell carcinomas (SCC) on photos of recessive dystrophic epidermolysis bullosa (RDEB) skin is developed. The ultimate goal is to integrate this model into an app for patients and physicians, to help detect SCCs in RDEB early. SCCs which rapidly metastasize are the main cause of death in adults with RDEB. The earlier an SCC is recognized, the easier it can be removed and the better the outcome. AI leverages computer science to perform tasks that typically require human intelligence and has recently been used to identify skin cancers based on images. We are currently developing an AI approach for early detection of SCC and distinction of malignancy from chronic wounds and other RDEB skin findings. The aim is to create a web application for patients with RDEB to upload images of their skin and get an output as to SCC present/ no SCC. This will be especially valuable for patients with difficult access to medical expertise and those who are hesitant to allow full skin examination at each visit, often because of fear of biopsies. Thus, this project will directly benefit patients by allowing early recognition of SCCs and will empower patients and their families by providing a home use tool. So far, the study team has mainly used professional images (photographs taken in hospital settings by physicians, nurses, and clinical photographers) of both SCCs in RDEB and images of RDEB skin without SCC to develop and train the AI model. The images that are expected in a real-life setting will mostly be pictures taken by patients or family members with their phones or digital cameras. These images have different properties regarding resolution, focus, lighting, and backgrounds. Incorporating such images will be crucial in the upcoming phases of model development-testing and validation-for the web application be a success for patients.
The purpose of this study is to evaluate the effectiveness of the use of artificial intelligence in home monitoring in patients with uncontrolled arterial hypertension.
This is an observational study using data that has been collected from participants who received their usual treatments. Metastatic colorectal cancer (mCRC) is a cancer of the colon (large bowel) or the rectum (lowest part of the bowel just before the anus) that has spread to other parts of the body. Regorafenib is an anti-cancer drug that blocks several proteins, called enzymes, which are involved in the growth of cancer. The combination of anti-cancer drugs trifluridine and tipiracil is called TAS-102. It prevents cancer cells from growing and multiplying. Both regorafenib and TAS-102 are approved treatments for metastatic colorectal cancer and are available for doctors to prescribe to people with mCRC after previous lines of treatment have been unsuccessful. Regorafenib and TAS-102 work in different ways and impact people differently. People might receive one of these drugs first and followed by the other. The best sequence for taking these drugs is still unclear. Researchers have also found that TAS-102, when taken with another anti-cancer drug called bevacizumab, helps people live longer than when taken alone. To better understand the impact of the sequence of taking regorafenib and TAS-102 (with or without bevacizumab), more knowledge is needed about how these work together in people with mCRC in real world settings. The main purpose of this study is to learn more about the characteristics and impact of treatment in people with mCRC who received regorafenib and TAS-102 (with or without bevacizumab) one after the other. This information will be grouped based on their treatment sequence and age group (less or more than 65 years old). In addition, the researchers want to learn about : - how long participants were treated with regorafenib and TAS-102 taken one after the other in a sequential order, - any treatment for mCRC that the participants received after the sequential treatment, - any treatment received for a condition in which the bone marrow cannot make up enough blood cells (a common side effect of cancer treatment), during the sequential treatment, - if and how often white blood cells that fight infection decreased during the sequential treatment, - the number of hospital or testing facility visits that participants had during the sequential treatment, and - how long did participants live (also called overall survival). The participants in this study had already received regorafenib and TS-102 (with or without bevacizumab) as part of their regular care from their doctors. The data will come from the participants' information stored in an electronic health records database called Flatiron mCRC EDM. Data collected will be from January 2015 to December 2022. Researchers will only look at the health information from adults in the United States of America. In this study, only available data from routine care is collected. No visits or tests will be required as part of this study.
The main goal of our investigation is to study the mechanisms of formation of left ventricular remodeling in patients with hypertension, working on a rotational expedition basis in the Arctic.