View clinical trials related to Covid19.
Filter by:Dysfunctional breathing and persistent hypocapnia can be associated with many of the symptoms experienced by patients such as dyspnea, fatigue, chest pain and palpitations. The identification of dysfunctional breathing and hypocapnia in these patients is important as it may represent a target for treatment. In many of these patients, tachypnea at low levels of exertion suggests increased respiratory muscle activity, which can lead to the sensation of dyspnea. Sympathetic hyperactivity leads to excessive and irregular ventilation during exercise. In this way, inspiratory muscle training can improve symptoms (dysfunctional breathing), possibly by attenuating the metaboreflex (vagal modulation-attenuation of the sympathetic response) of the inspiratory muscle in post-covid-19 subjects, reducing ventilatory variability.
The goal of this clinical trial is to learn if troxerutin works to prevent thrombotic events in mild or severe COVID-19 patients. It will also learn about the safety of troxerutin. The main questions it aims to answer are: - Does troxerutin lower the number of thrombotic events in participants? - What medical problems do participants have when taking troxerutin? Researchers will compare troxerutin to a placebo (a look-alike substance that contains no drug) to see if troxerutin works to prevent thrombotic events in COVID-19 patients. Participants will: - Take troxerutin or a placebo every day for 7 days. - Visit the clinic at the first, fourth, seventh and 28th days after enrollment for checkups and tests - Keep a diary of their symptoms and the number of times of thrombotic events, bleeding events and type II HIT-related thrombocytopenia
To evaluate immune responses of an Investigational mRNA-1273.815 vaccine against the Omicron subvariant strain (XBB.1.5) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
Clarify the incidence of functional impairments in cured COVID-19 patients and identify influencing factors. Build a multi-omics database for COVID-19 patients in the recovery period to elucidate the biological biomarkers and targets associated with functional impairments. Comprehensive exploration of the long-term prognosis, complications, sequelae, and risk factors of COVID-19 patients after Omicron infection, as well as their immune characteristics. Compare the impact of different strains of the COVID-19 virus on prognosis and immune response. Develop comprehensive rehabilitation intervention strategies for COVID-19 patients with functional impairments and evaluate the impact of different intervention methods on their prognosis. Based on clinical data, multi-omics data, and precise rehabilitation assessment data, construct predictive models for prognosis and rehabilitation effectiveness in COVID-19, providing scientific evidence for the implementation of effective COVID-19 rehabilitation measures.
According to the World Health Organization (WHO), as of mid-September 2022, more than 21 million Brazilians have recovered from COVID-19. However, post-infection symptoms continue to appear months after the end of the acute infection, a syndrome called long COVID. Therefore, the aim of this study is to investigate the responses of fascia-focused manual therapy in participants with long COVID.
Sleep is an important modulator of the immune response, whereby sleep disturbances (ie, poor sleep quality, insufficient sleep and/or primary sleep disorder, obstructive sleep apnea (OSA)) contribute to inflammatory disease risk and dysregulation of immune response in front of infectious agents. The objective of this study is to evaluate the impact of undiagnosed and non-treated sleep disorders on innate immunity in a cohort of COVID-19 patients and the role of trained immunity induced by influenza vaccination in the innate immune response.
Assess the incidence and rates of resistant pathogens prior to and during the COVID-19 pandemic.
Diaphragm is the principal muscle of inspiration. Diaphragmatic dysfunction is seen in many conditions including following intubation, lung disease, prolonged ventilation, neuromuscular disease, phrenic nerve injury. The possible mechanisms of diaphragmatic dysfunction in patients with COVID19 are critical illness myopathy, ventilator-induced diaphragm dysfunction, iatrogenic phrenic nerve injury particularly secondary to line placement, post-infectious inflammatory neuropathy of the phrenic nerve, or possibly direct neuromuscular involvement of the SARS- CoV-2 virus given expression of the angiotensin- converting enzyme 2 (ACE2) receptor in the peripheral nervous system and skeletal muscle. The use of diaphragmatic ultrasound has been widely used to assess diaphragmatic function is well known in patients following prolonged mechanical ventilation. Prolonged mechanical ventilation leads to contractile dysfunction of respiratory muscles, in particular the diaphragm, causing a so-called ventilator-induced diaphragm dysfunction. The latter is defined as a loss of diaphragm force-generating capacity specifically related to the use of mechanical ventilation. However, the use of diaphragmatic Ultrasound to assess its function in Long COVID patients has not been noted and is a gap in the work up of these patients. The purpose of this study is to address Diaphragmatic Dysfunctional (DD) breathing seen in patients with Post-Acute Sequelae of COVID-19 (PASC), which results in shortness of breath/chest tightness and subsequent fatigue. Targeting shortness of breath and subsequent fatigue as a central symptom of PASC will alleviate long term sequelae for the patients with PASC. DD will be addressed by a unique intervention of physical therapy. The goal of this prospective randomized clinical study will be to evaluate the comparative treatment effect of DB on markers, specifically fatigue, dyspnea, 6 min walk test, depression/anxiety, and quality of life (QoL).
To explore the safety and efficacy of daily doses of celecoxib + valacyclovir in the treatment of patients with prolonged symptoms caused by COVID-19.
The primary objective of this study is to determine, in unblinded samples, whether artificial intelligence can classify specific blood RNA from patients with long COVID together and separately from apparently healthy normals and other medical conditions which share signs and symptoms of long COVID.