View clinical trials related to Disease.
Filter by:As for this research，we want to find whether the intestinal microecology (flora, peptidoglycan fragments) have certain distribution characteristics in colorectal diseases; whether it can predict the development of disease/as a prognostic indicator.
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.
People of low socio economic status (SES) more often than others suffer from chronic diseases like diabetes mellitus, chronic obstructive pulmonary disease (COPD), or coronary diseases. Compared to others People of low SES more often have to deal with multiple diseases (multimorbidity) and experience worse health outcomes. The health literacy of people of low SES is often low. Current chronic disease management programs focus on reducing the burden of a single disease by prescribing medication, protocoled monitoring routines, or lifestyle advice. However, the effectiveness of these interventions is low in people with low SES, as the interventions insufficiently take into account the specific problems and needs of this (multimorbid) population. A person-centered and integrated-care approach, that puts the patient at the center of care instead of the disease and in which care is tailored to the individual patient with chronic disease(s), seems to be more appropriate, but only when low SES people are closely involved in the development, testing, and evaluation of such an approach. Also, certain preconditions should be met, such as training of specific knowledge and skills of the healthcare professionals involved. In the EMBOSS project, the investigators will develop, test, evaluate, and implement a person-centered integrated-care approach for and in close collaboration with people with low SES who have one or more chronic diseases. Thus, the EMBOSS study will have the potential to reducing health disparities in this group, to broadening the action perspectives of general practitioners and practice nurses for an increasing diverse patient population and to a better fit of lifestyle interventions in people of low SES.
Empagliflozin Treatment of GSD-1b patients
Vaccine responses in patients treated with anti-CD20 antibodies (ocrelizumab and ofatumumab) or S1P receptor modulators (fingolimod and siponimod) were evaluated before and after third SARS-CoV-2 vaccination as part of an ongoing longitudinal study. Total spike protein and spike receptor binding domain (RBD)-specific immunoglobulin G (IgG) responses were measured by Luminex bead-based assay. Spike-specific CD4+ and CD8+ T cell responses were measured by activation-induced marker expression.
From a clinical perspective, we find that many patients with Post COVID condition suffer from severe and debilitating shortness of breath, while routine pulmonary investigations fail to find the cause of the problems experienced. If dyspnea is associated with palpitations, dizziness or anxiety, patients are commonly diagnosed with "dysfunctional breathing". From a psychosomatic perspective, the symptom of dysfunctional breathing can be classified as a "functional symptom" under the umbrella term of somatic symptom disorder. Therefore, Yoga interventions with special emphasis on breath-guided relaxation are a promising approach. We aim to investigate the psycho-somatic and somato-psychic pathophysiology on a morphological, psychological, functional and biological basis underlying the symptom of dysfunctional breathing. Furthermore, we plan to investigate the mechanism of Yoga intervention on the mental and somatic symptom burden of participants with Post COVID condition. Then, we aim to compare the impact of Yoga on other groups - healthy individuals, patients with chronic obstructive lung disease (COPD), as well as those with somatic symptom disorder. As a control intervention to Yoga guided breathing exercises a social contact group will be used.
The goal of this observational study is to apply Artificial Intelligence (AI) and machine learning technology to the resting 12-lead electrocardiogram (ECG) and assess whether it can assist doctors in the early diagnosis of Pulmonary Hypertension (PH). Early and accurate diagnosis is an important step for patients with PH. It helps provide effective treatments early which improve prognosis and quality of life. The main questions our study aims to answer are: 1. Can AI technology in the 12-lead ECG accurately predict the presence of PH? 2. Can AI technology in the 12-lead ECG identify specific sub-types of PH? 3. Can AI technology in the 12-lead ECG predict mortality in patients with PH? In this study, the investigators will recruit 12-lead ECGs from consenting participants who have undergone Right heart Catheterisation (RHC) as part of their routine clinical care. AI technology will be applied to these ECGs to assess whether automated technology can predict the presence of PH and it's associated sub-types.
To investigate and evaluate the capacity of prenatal screening, diagnosis and counseling of congenital heart disease in medical institutions in China, in order to understand the current status and existing problems of prenatal prevention and treatment capacity of congenital heart disease in China, and to obtain corresponding baseline data, so as to provide scientific basis for further improving prenatal screening and diagnosis policies in China.
The feasibility of using an electronic tool to measure pain, nausea, and vomiting after surgery in English or Spanish-speaking pediatric cancer patients.
At present, there is a lack of effective screening methods. It is urgent to explore new non-invasive detection methods for early diagnosis of epithelial ovarian cancer and non-invasive differentiation methods for benign and malignant ovarian tumors. Liquid biopsy technology has great potential for early screening of tumors. The fragmentation patterns of cfDNA fragments in plasma and the uneven coverage of the genome can indirectly reflect the state of gene expression regulation in vivo. Its characteristics mainly include copy number variation (CNV), Nucleosome footprint, fragment length and motif. The number of proteins in a proteome can sometimes exceed the number of genomes. It includes "structural Proteomics" and "functional Proteomics". At present, research has explored the use of urinary protein biomarkers for early diagnosis of gastric cancer. "Deep Visual Proteomics (DVP)" reveals the mechanism driving tumor evolution and new therapeutic targets for tumors. Using the currently mature low depth WGS sequencing technology, this study aims to explore its clinical application in the differentiation and early screening of epithelial ovarian cancer, as well as monitoring the course of epithelial ovarian cancer, including the detection of minimal residual lesions (MRD) and monitoring of recurrence (MOR). This study also explores the role of urine proteomics in the differentiation of benign and malignant ovarian tumors, early screening and invasiveness of epithelial ovarian cancer, and monitoring the course of epithelial ovarian cancer.