View clinical trials related to Covid19.
Filter by:Throughout the Coronavirus disease (COVID-19) pandemic, rates of COVID-19 have been persistently high in San Diego County's central and southern communities near the United States/Mexico border. These regions predominantly house Latino residents, the ethnic minority community most impacted by COVID-19 in San Diego. In the Phase I project, University of California, San Diego (UCSD) partnered with San Ysidro Health (SYH) and the Global Action Research Center, to co-create and demonstrate the impact of a COVID-19 testing program in San Ysidro, one of the most impacted areas from COVID-19 in San Diego County. To date, the project tested >10,000 community members (92% Latino) and received requests to scale-out the testing program to additional primary care clinic sites. In this Phase III project, Community-engaged Optimization of COVID-19 Rapid Evaluation And TEsting Experiences (CO-CREATE-Ex) will extend work with the Phase I community and clinical partners to refine, specify, implement, and evaluate an implementation strategy bundle that optimizes COVID-19 testing, expanding beyond current polymerase chain reaction (PCR) testing to FDA-authorized COVID-19 rapid antigen testing.
Justification: among the sequelae of Covid-19 in clinical practice we frequently find persistent neuromusculoskeletal pain. Prevalence data and the underlying mechanisms of such pain are very limited in the scientific literature. Therefore, with this research we will try to answer these questions. Main objective: to determine and characterize persistent musculoskeletal pain in Covid-19 patients. Method: two phases. First, a descriptive cross-sectional study will be carried out to estimate the prevalence of Long Covid Pain (LCP). Second phase, a case-control study will be carried out using the sample obtained in the first phase as the population. The sample will be divided into two groups: post-Covid-19 patients with LCP and post-Covid-19 patients without persistent pain (control group). The two groups will be matched according to sex, age and level of severity of the pathology. An assessment and comparison between groups will be made of the following variables: central sensitization, healthy physical condition and blood test values, which will be evaluated by means of physical examination, questionnaires and laboratory tests. Applicability of the results: this is a pioneering project at the national level, which would determine more reliably the prevalence of LCP in postcovid and could be a first step in the search for the best therapeutic strategies for these patients. This would help to improve the quality of life of these patients and to better manage the social and healthcare resources used in their treatment.
Post-acute COVID syndrome (PACS) /post-acute sequale of COVID-19 (PASC) / post-COVID is a novel clinical syndrome with unknown biological mechanisms, and to date no standard-of-care, routines for follow-up, or evidence-based treatments have been established. In this project, we will employ a systems medicine approach to identify pathways and networks of genes, proteins and metabolites that are critical in disease onset and progression, towards the goal of understanding specific mechanisms in the etiology of PASC. The objective of the project is to perform clinical and molecular characterization and sub-phenotyping of patients with PASC, (a.k.a. PACS, or post-COVID), into mechanistically relevant groups, with focus on sex differences in patients with lung involvement. Molecular pathways involved in disease etiology will be identified by correlating rigorous clinical phenotyping and longitudinal eHealth data (home-monitoring via App, home spirometer etc), with multi-molecular level omics profiling of samples collected from the lung, integrated with our systems medicine framework. Aim I involves longitudinal home-monitoring at baseline to investigate fluctuations in general wellbeing, and causes thereof, in PASC patients with lung involvement compared to healthy controls. In Aim II, a set of omics technologies will be employed to provide in-depth molecular characterization of samples from the lung, exhaled particles (PExA), blood and urine. In depth clinical characterizations including photon-counting CT will be performed. In Aim III, integrative statistical- and network modeling approaches will be utilized to: i) identify molecularly distinct sub-groups of obstructive lung diseases based on multi-molecular level network-integration, and ii) identify individual mediators and molecular pathways related to clinical phenotype including longitudinal home-monitoring data, prognosis, diagnosis, and disease etiology of the identified sub-groups.
In this study, the investigators will deploy a software-based clinical decision support tool (eCARTv5) into the electronic health record (EHR) workflow of multiple hospital wards. eCART's algorithm is designed to analyze real-time EHR data, such as vitals and laboratory results, to identify which patients are at increased risk for clinical deterioration. The algorithm specifically predicts imminent death or the need for intensive care unit (ICU) transfer. Within the eCART interface, clinical teams are then directed toward standardized guidance to determine next steps in care for elevated-risk patients. The investigators hypothesize that implementing such a tool will be associated with a decrease in ventilator utilization, length of stay, and mortality for high-risk hospitalized adults.
In some clinical forms of COVID-19, an uncontrolled hyper-inflammatory reaction known as a "cytokine storm" appears abruptly, around day 7, and is associated with rapid respiratory deterioration, requiring hospitalization in an intensive care unit (ICU). At present, although risk factors for this severe form have been described, there are no validated criteria for determining which individual patients will develop this aggravation. The study of respiratory sounds (amplitude, frequency, ...) has made it possible in other respiratory pathologies (e.g., chronic obstructive pulmonary disease) to predict exacerbations several days in advance. Having a predictive respiratory pattern for worsening in COVID-19 would make it possible to anticipate the need for intensive care hospital beds, by means of a tool easily available on a mobile phone.
Evaluation of the short- and medium-term effect of a yoga intervention in addition to routine care compared to health education in addition to routine care on fatigue in patients with post covid syndrome.
Pulmonary fibrosis is a sequela of severe infection COVID-19.The prevalence of PCFP ranged from 2% to 45%,and the pathogenesis of PCFP has not been clearly elucidated.The ingredient of Bailing capsule is Cs-C-Q80,it has obvious protective effect on lung. Studies have shown that Bailing capsule may improve the clinical symptoms of PCPF patients through anti-fibrosis, oxidation and anti-inflammatory effects in multiple pathways. The purpose of this study was to evaluate the efficacy and safety of bailing capsule in treating PCFP after COVID-19 infection.
Dyspnea is defined by a subjective sensation of respiratory discomfort, the intensity of which varies according to the terrain, the anamnesis and the cause. Resuscitation is associated with many causes of dyspnea, including initial distress, mechanical ventilation, or after-effects following the pathology and its management. Respiratory distress is the most severe form of impaired lung function. It is the first cause of hospitalization in intensive care. This distress, indicative of the failure of the respiratory system, is always severe and potentially fatal. It therefore constitutes an absolute therapeutic emergency. Dyspnea is often the revealing symptom of the condition and the urgency surrounding its management is an additional factor of concern for the patient. As a result, dyspnea is a pejorative element associated with severity or even death. In patients surviving the initial condition, dyspnea persists and can be found months or even years later, despite the initial rehabilitation. It is strongly associated with anxiety or even the fear of dying and contributes to the occurrence of post-traumatic stress syndromes. This persistent sensation of respiratory discomfort, limiting the patient's autonomy in his activities of daily living, seems to be able to reduce his quality of life. In addition, the perpetuation of this dyspnea could favor a spiral of deconditioning causing a progressive deterioration of the cardio-respiratory system justifying new hospitalizations. In patients with chronic respiratory failure, exercise rehabilitation supervised by hysiotherapists allows, in addition to improving autonomy, a significant reduction in dyspnoea, thus increasing the quality of life of these patients. The main objective of this study is to evaluate the effect at 2 years of 3 modes of management of dyspnea: exercise rehabilitation, standard physiotherapy and "usual care" on post-resuscitation dyspnea in patients with presented with severe COVID-19.
To determine the effect of Pycnogenol® versus placebo on patient-reported health status in people with post COVID-19 condition.
Popular topic:Multi-center safety observation of recombinant Novel Coronavirus protein vaccine (CHO cells) in a large population Study population:People aged 18 and above