View clinical trials related to Prognosis.
Filter by:HF is an advanced or terminal stage of various heart diseases, with high rehospitalization and mortality rates. In HF patients, undernutrition is not uncommon and represents one of the most significant determinants of poor clinical outcomes. Therefore, nutritional management is of paramount importance for patients with HF.The basic method of nutritional management is to effectively identify the nutritional status of patients with heart failure, especially in elderly patients with heart failure who are not easy to find in the early stage. Limited data are available regarding the association between CONUT score and prognosis in elder patients with HFpEF, despite its easy availability in routine blood chemistry. Therefore, we aimed to evaluate the prognostic significance of CONUT score and to compare it with other well-established nutritional indices in HFpEF, a common HF phenotype in the elderly population with coronary artery disease. This was a single-center retrospective cohort study which were approved by the Clinical Research Ethics Committee of our hospital (TRECKY2021-185). Written informed consent was obtained from all patients. Participants were accorded with diagnostic criteria of CAD and HFpEF excluding rheumatic heart disease, congenital heart disease, acute myocardial infarction, hemodialysis or hemofiltration, tumour activity, urgent surgery, death during hospitalization, HF of unknown reasons, New York Heart Association(NYHA) class1and data deficiency. Demographic characteristics and medical parameters were collected from the electronic medical record system . All enrolled patients were followed-up in an outpatients setting. The primary endpoint of this study was readmission due to heart failure and all-cause mortality in the first year after hospitalization. To explore the prognostic significance of controlling nutritional status score in elderly with ejection fraction preserved heart failure and compare controlling nutritional status score with other objective nutritional indices.All analyses were performed using Statistical Product Service Solutions(SPSS) version 19.0 .
The purpose is to investigate if different microparticles and markers of hemostasis predict outcome after TIA or ischemic stroke and to study the association between these variables and stroke subtype or etiology.
Chronic postsurgical pain (CPSP) has an incidence of 46% in patients after breast cancer surgery, which seriously affects patients' physiological and psychological function, as well as quality of life. Acute pain is an independent risk factor for persistent pain after surgery. Erector spinae plane block (ESPB) provided excellent perioperative analgesia in patients undergoing breast surgery. Dexmedetomidine as an adjuvant of local anesthetics prolongs the duration of peripheral nerve block and decreases the requirements of postoperative analgesia. The investigators hypothesize that, for breast cancer patients undergoing mastectomy, ESPB (with a combination of 0.5% ropivacaine 35 ml and dexmedetomidine 1 microgram/kg) can reduce the occurrence of CPSP. The purpose of this randomized controlled trial is to investigate the impact of ESPB with adjuvant dexmedetomidine on the incidence of CPSP in breast cancer patients after mastectomy. We will also observe the impact of ESPB on long-term survival in these patients.
The aim of this study is to assess the clinical value of 5 transcriptomic signatures prognostic of chemotherapeutic sensitivity to improve the Objective Response Rate (ORR) of first-line (L1). Chemotherapy regimen (FOLFIRINOX vs Gem-nabP) will be selected based on transcriptomic signatures applied to the pre-therapeutic liver biopsy of newly diagnosed PDAC patients.
By tracking the short-term and long-term results of HCC patients treated with systemic therapies,the difference of microbiota between responded patients and non-responded patients was analyzed, and the correlation between gut and oral microbiota and short-term and long-term results was explored, so as to improve people's awareness of microbiota and pay attention to its prevention and treatment.
Spontaneous intracerebral hemorrhage(SICH) is the most lethal and disabling stroke. Timely and accurate assessment of patient prognosis could facilitate clinical decision making and stratified management of patients and is important for improving patient clinical prognosis. However, current studies on the prediction of prognosis of patients with SICH are limited and only include a single variable, with less precise results and inconvenient clinical application, which may lead to delays in effective patient treatment. Our group's previous studies on SICH showed that hematoma heterogeneity and the degree of contrast extravasation within the hematoma are closely related to the clinical outcome of patients, but they are difficult to describe quantitatively based on imaging signs. Based on this, we propose to use radiomics to quantitatively extract hematoma features from NCCT and CTA images, combine them with patients' clinical information and laboratory tests, study their relationship with the prognosis of cerebral hemorrhage, and use artificial intelligence to establish a rapid and accurate prognostic prediction model for patients with SICH, which is of great significance to guide clinical individualized treatment.
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.