All clinical trials

Background and objectives Heart failure is a leading cause of morbidity and mortality worldwide and it is a major cause of emergency department access for cardiovascular disease patients. Aim of this study is to identify the markers, based on short-term temporal repolarization dispersion, capable to individuate decompensated chronic heart failure (CHF) patients at high mortality risk. Method: We will obtain the following variables from ECG monitor, via mobile phone, during 5-minute recordings in decompensated CHF patients: RR, QT end (QTe), QT peak (QTp) and T peak to T end (Te) and we calculated mean, standard deviation (SD) and normalized index (N).

Breast cancer (BC) is the most frequently diagnosed cancer in women worldwide. The cause of developing BC is currently unknown. However, there are several risk factors, such as volumetric breast density (VBD), which have been proved to have a relationship with BC. The assessment of breast density is typically performed subjectively using the 4-classes density classification described by American College of Radiology. However, in the last years, automated breast density software tools have been developed (e.g. Volpara, Quantra). In this work, VBD measurements from VolparaTM (v. 1.5.4.0) will be compared between Full-Field Digital Mammography (FFDM) and Digital Breast Tomosynthesis (DBT) of the same pacient ('combo mode'). Images will be acquired in a Hologic Selenia Dimensions, the most common FFDM/DTB system, where image resolution is different for FFDM (70 um) and DBT (140 um). This study (1) evaluates the consistency between Volpara's breast density measurements and spatial distribution for the two imaging techniques (FFDM and DBT) in a Hologic Selenia Dimensions, and (2) compares VDB measurements with other similar tool (Quantra) and radiologists breast density manual classification.

Pancreas graft quality directly affects morbidity and mortality rates after pancreas transplantation (PTx). The criteria for pancreas graft allocation are restricted, which has decreased the number of available organs. Suitable pancreatic allografts are selected based on donor demographics, medical history, and the transplant surgeon's assessment of organ quality during procurement. Quality is assessed based on macroscopic appearance, which is biased by individual experience and personal skills. Therefore, the aim of this study is to assess the histopathological quality of unallocated pancreas organs to determine how many unallocated organs are of suitable quality for PTx, based on histopathologic evaluations. The reasons for allocation rejection will be reported and the correlation between cause of allocation rejection and histopathological quality of the allocated organ will be evaluated. This is a multicenter cross-sectional explorative study. The demographic data and medical history of donor and cause of rejection of the allocation of graft will be recorded. Organs of included donors will be explanted and macroscopic features such as weight, color, size, and stiffness will be recorded. A tissue sample of the organ will be fixed for further microscopic assessments. Histopathologic assessments will be reported 6 hours (or at time of organ delivery if later than 6 hours), 9 hours, 12 hours, 15 hours, and 18 hours after procurement. 100 pancreases will be evaluated in this study.

The purposes of this study is 1. To establish the validity of CEUS to measure renal perfusion by comparing it against ASL-MRI in young and older healthy volunteers, and generate a normative dataset of CEUS measures of renal perfusion. 2. Establish proof of principle for the use of CEUS to measure renal perfusion in the acute phase of AKI, demonstrating its feasibility and potential clinical utility. We will do this by performing daily CEUS measurements for up to five days in a cohort of people with AKI stage 3, commencing as close to onset. of AKI as possible, correlating with clinical data and following outcomes until 90 days.

Comparison of twà different nociception monitors during general anesthesia

The primary objective of this study is to determine the prevalence of AH in addition to its clinical characteristics and in-hospital mortality of patients that are hospitalized for AH in different hospitals across Latin American countries This study is carried out in different health centers throughout America, with all the countries belonging to the Latin American Association for the study of liver diseases (ALEH) more Canada and United States This would allow us to better understand the epidemiology of AH in our region and thus implement prevention measures with more solid data. Importantly, this would allow us to optimize therapeutic measures

This study seeks to correlate microbiome sequencing data with information provided by patients and their medical records regarding colorectal cancer.

PET images are based on detecting two annihilation 511 KeV photons that are produced by positron emitting isotopes. The longer the acquisition time, the more photons are detected and processed, resulting in better image quality. However, long scan times (typically 20-40 minutes per scan) are less convenient to patients, and may result in patient motion and misalignment. several studies have used machine learning to produce diagnostic images from low quality images.The goal of our study is to produce diagnostic PET images with 10 seconds acquisition time per bed position using DNN algorithms

The aims of this study are to validate the reliability and validity of Elderly Health Questionnaire in assessing frailty risk of community-dwelling older adults.

Neuromuscular US will be a good and non invasive predictor for respiratory and autonomic dysfunctions in GBS through evaluation of diaphragmatic thickness, phrenic and vagus nerve cross sectional area.