View clinical trials related to Diagnosis.
Filter by:This study is a single centre intervention study to compare two methods of determining the measured glomerular filtration rate (mGFR). Subjects who receive radioactively labeled iothalamate (125I) and hippuran (131I) within the framework of routine clinical care, will be co-administered iohexol. The primary trial endpoint is the mGFR when administered 125I-iothalamate and 131I-hippuran versus iohexol. By determining the mGFR using both iohexol and iothalamate in the same patients, a direct comparison of the two methods can be made in terms of their accuracy and precision. This makes it possible to determine the potential use of the non-radioactive measurement method as an alternative to the radioactive method and thus lower the overall radioactive burden for patients and personnel.
It is difficult to determine the pathogens in the early stage of infection in critically ill patients, and empirical use of broad-spectrum antibiotics for a long time is often necessary, leading to antibiotics drug resistance. Targeted next generation sequencing (tNGS) can provide faster results for pathogen and related antibiotic resistant diagnosis. But it lacks sufficient clinical evidence. Evidence regarding the clinical diagnostic accuracy and drug resistance is needed to comprehensively evaluate targeted next generation sequencing (tNGS) for diagnosis of patients in ICU who and will be critical to inform national policy.
This study will test the feasibility of ultrasound-guided sterile blood sampling for critically ill patients with suspected sepsis requiring blood culture. The aim of the study is to evaluate the feasibility and safety of the use of ultrasound for blood cultures in a population of patients which can present difficult venous access and requiring more than one venipuncture attempt in general clinical practice
This is an interventional with minimal risks and constraints (RIPH 2 in France), prospective, longitudinal, non-randomized, multicenter study. The present study will allow us to evaluate multiple factors assessing the Endotest® Diagnostic accuracy and its possible limitations. To characterize the Endotest® Diagnostic, the following parameters will be evaluated: - Repeatability: the verification of the invariability of its results without condition changes, - Circadian cycle: whether the circadian cycle affects the determination of the signature, - Intermediate fidelity: the verification of the invariability of its results with an operator change, - Interferences: the impact of different interferences on its results, - Stability: the possible modification of its results depending on the samples conditions of storage. The acts and procedures performed in this research will be divided into three visits: - Inclusion visit: performance of 4 Endotest® Diagnostics (3 at the visit and 1 at home) by the 60 included subjects, - "Circadian cycle" visit: performance of 17 Endotest® Diagnostics (14 at the visit and 3 post-visit at home) by 6 subjects selected after evaluation of the results of the inclusion visit, - "Repeatability-intermediate fidelity-interference-stability" visit: realization of 17 Endotest® Diagnostic by 10 or 16 subjects, depending on the results of the impact of the circadian cycle on the saliva signature. These subjects will be selected according to the results of the inclusion visit, excluding those who participated in the circadian cycle visit.
The goal of this observational study is to learn about antithrombotic regimens in Multiple myeloma patients. The main question it aims to answer is the efficacy of different types of thromboprophylaxis (antiplatelet agents, heparins, oral anticoagulants) in preventing venous thromboembolism (VTE).
The purpose of this study is to assess a new test to detect antibodies which may form following kidney transplant. These antibodies can be difficult to detect as they do not cause any symptoms but can lead to kidney damage. A new blood test will be performed alongside existing antibody tests to see how well the test functions in comparison and to see how well it is able to distinguish between inflammation caused by antibodies and other sorts of inflammation such as a urinary tract infection. The investigators also want to determine whether it is predictable whom will develop antibodies after a transplant and use these results to change the current way patients are monitored for antibodies after receiving a transplant. In addition to this, the investigators want to establish if patients over 60 years of age are relatively protected against immunological events such as rejection compared to patients who are under 60 years of age. The results could potentially lead to using a different immunosuppression regime based on which population age group patients belong to and lowering the risks associated with these drugs.
In this randomized controlled trial, we aim to evaluate the efficacy of incorporating mNGS in the management of pneumonia on efficiency and accuracy of causative pathogen identification, proportion of participants with effective antimicrobial therapy, length of hospitalization, and mortality.
Introduction: Early and rapid diagnosis of etiology is often an important part of saving the lives of patients in emergency department. Chest CT is an important examination method for emergency diagnosis because of its fast examination speed and accurate localization. Traditional medical imaging diagnosis relies on radiologists to report in a qualitative and subjective manner. Through the interdisciplinary combination of clinical, imaging and artificial intelligence, the integration of multi-omics data, the construction of large-scale language models, and the construction of the auxiliary diagnosis support system of "one check for multiple diseases" provide new ideas and means for the rapid and accurate screening of emergency critical diseases. Method： Study design Investigators retrospectively collected cardiovascular, respiratory, digestive, and neurological CT images, demographic data, medical history and laboratory date of emergency department patients during the period from 1 January 2018 and 30 December 2024. Regularly carry out standardized follow-up work, and complete the collection and database establishment of clinical-imaging multi-omics data of patients attending emergency department.The inclusion criteria are:1. adult emergency patients with cardiovascular, respiratory, digestive, and nervous system diseases; 2. These patients had CT images. Patients with incomplete clinical or radiographic data were excluded from the analysis. Regularly carry out standardized follow-up work, and complete the collection and database establishment of clinical-imaging multi-omics data of patients attending emergency department. Based on the collected medical text data, an artificial intelligence large-scale language model algorithm framework is built. After the structure annotation of chest CT images is performed by doctors above the intermediate level of imaging, the Transformer deep neural network is trained for CT image segmentation, and a series of tasks such as structural structure segmentation, damage detection, disease classification and automatic report generation are developed based on Vision Transformer self-attention architecture mechanism. A multi-disease diagnosis and treatment decision-making system based on chest CT images, clinical text and examination multimodal data was constructed and validated. Disscusion Emergency medicine deals mainly with unpredictable critical and sudden illnesses. Patients who come to the emergency department for medical treatment often have acute onset, hidden condition, rapid progress, many complications, high mortality and disability rate. Assisted diagnosis systems developed by combining clinical text, images and artificial intelligence can greatly improve the ability of emergency department doctors to accurately diagnose diseases. This study fills the blank of CT artificial intelligence aided diagnosis system for emergency patients, and provides a rapid diagnosis scheme for multi-system and multi-disease. Finally, the results will be transformed into clinical application software and used and promoted in clinical work to improve the diagnosis and treatment level.
The goal of this study is to learn about the patient's perspective regarding to psychological mood before and after an invasive urodynamic study.
The goal of this study is to learn whether the change or patient position might effect the results of invasive urodynamic study in males.