View clinical trials related to Prognosis.
Filter by:30% - 66% of stroke survivors have upper limb dysfunction. Effective rehabilitation can improve the prognosis, but the rehabilitation resources are limited. How to evaluate the prognosis early and formulate an individualized rehabilitation plan based on realistic expectations is still inconclusive. The current research shows that some brain network changes are related to the recovery of motor function. The dynamic connection of multi-modal and spatio-temporal fusion of motor network is helpful to the prognosis analysis of upper limb dyskinesia after stroke. 178 stroke patients will be included in this project. Fugl-Meyer motor function scale (upper limb part) and Action Research Arm Test (ARAT) will be evaluated at enrollment, 1month/3month/6month after onset. According to the results, the groups with good prognosis and poor prognosis will be distinguished; blood oxygen level dependent imaging and diffusion tensor imaging will be collected at the same time to compare the similarities and differences of the function and structural connection of the motion network; the correlation between interhemispheric connection, intrahemispheric connection, cross network connection of motor network and prognosis will be analyzed, the clinical and imaging features of different prognosis will be extracted. This study can provide scientific data support for the prognosis analysis of upper limb dysfunction after stroke, the improvement of rehabilitation clinical decision-making and the optimization of rehabilitation resource allocation.
Our proposal is to develop a sentinel syndromic surveillance strategy to identify encephalitis cases possibly related to emerging pathogens admitted to ICUs in Brazil. "Sentinel" to allow a diagnostic intensive approach on a smaller number of cases, "syndromic" to guarantee a sensitive criterion to include new or unexpected pathogens, and in ICUs to prioritize potentially severe threats. In a resource-limited setting it won't be possible to monitor and investigate all cases of encephalitis, so a cost-effective algorithm for early identification of the cases that are most likely to be caused by unusual, unexpected or emerging pathogens must be developed. As universal surveillance of encephalitis is not recommended in Brazil, data on incidence, causes and prognosis is not available, leaving a gap in the understanding of the epidemiology of this central nervous system disease in the country. This study will review cases of encephalitis admitted in the last five years to ICUs in a large metropolitan area. Its results will help understand the epidemiology of encephalitis in Brazil and will provide data to build a strategy for early identification of outbreaks and of emerging infectious diseases.
This study aims to assess multimodal Radiomics-based prediction model for prognostic prediction in spinal tumors.
Comparison of the progression-free survival, overall survival, local progression rates, complete ablation rates and the complications rate of MSA and traditional MWA in the treatment of single hepatocellular carcinoma with a diameter of ≤5cm.
Developing a deep learning model based on contrast-enhanced ultrasound (CEUS) to predict the prognosis of hepatocellular carcinoma (HCC) and aid choose operation decisions
Sepsis is a clinical syndrome with high morbidity and high fatality rate in emergency department. Patients with acute liver or kidney injury are more likely to develop Multiple Organ Dysfunction Syndrome(MODS) secondary to the non-hepatic injury group, and the prognosis deteriorates significantly. At present, there is no unified diagnostic criteria for acute liver injury associated with sepsis, and the commonly used prognostic evaluation system is rarely included in liver injury indicators, which is not good for practicality.
Malignant pleural mesothelioma (MPM) is a highly aggressive tumor with atypical clinical manifestations. Most patients with MPM are at an advanced stage at the time of diagnosis, and only a few patients can be cured by radical surgery and other treatment measures. Pemetrexed + cisplatin chemotherapy with or without bevacizumab is still the standard treatment for MPM. In recent years, multimodality therapy including surgery, radiotherapy and chemotherapy have shown certain advantages in improving patient overall survival time. Targeted and immunotherapy may bring breakthroughs in MPM therapy. However, there are still no high-quality evidence-based medical evidence reports on the treatment model and effects of MPM patients in China. Focusing on MPM, we plan to systematically review the relevant scientific literature, confirm relevant scientific research questions, and provide references for related treatments. On this basis, we will estimate MPM incidence and mortality rates from 2014 to 2025 based on the data published by the National Cancer Registry. Meanwhile, a retrospective study cohort was constructed based on the electronic medical record database, and according to the research demand, patients were followed up with their post-discharge survival status to comprehensively describe and analyze the incidence, diagnosis, treatment, and prognosis of MPM patients. Also, exploratory analysis of the therapeutic effects of existing clinical treatments was conducted.
Follow-up study of Coronavirus disease 2019 (COVID-19) survivors has rarely been reported. We aimed to investigate longitudinal changes in the characteristics of COVID-19 survivors after discharge.
The coronary artery system is composed of three different types of blood vessels, namely epicardial arteries, arterioles and capillaries. Compared with epicardial arteries, arterioles and capillaries are lower than the resolution of current angiography systems, so angiography cannot be used for visualization. Existing studies have shown that coronary microcirculation plays an extremely important role in maintaining full myocardial perfusion. Coronary microvascular disorders can lead to myocardial hypoperfusion and ischemia, and are related to the poor prognosis of patients with coronary heart disease. At present, there is no technology that can directly detect the state of the coronary microcirculation in the human body, but the coronary microcirculation function can be indirectly assessed through two invasive and non-invasive methods. Among them, the index of microcirculation resistance (IMR) is widely used to evaluate coronary microcirculation function [3]. However, in the case of epicardial stenosis, accurate determination of IMR requires knowledge of coronary artery contraction pressure (Pw). However, measuring IMR is an invasive examination technique, and measuring IMR requires high technical requirements for the operator. Therefore, the CaIMR value obtained by AI technology can well overcome this limitation, and the existing data show that the CaIMR value has a good correlation with the IMR value. However, CaIMR has a clinical prognosis for patients with acute ST-segment elevation myocardial infarction. The predictive value of CaIMR has not yet been explored. This project aims to evaluate the application value of CaIMR in predicting the occurrence of adverse cardiovascular events in patients with acute ST-segment elevation myocardial infarction after percutaneous coronary intervention.
Based on a review of about 10,000 patients undergoing cardiac surgery under CPB in West China Hospital of Sichuan University and the Second Affiliated Hospital of Zhejiang University, we try to evalute the effect of blood transfusion on outcomes in cardiac surgery.