COVID19 Clinical Trials in Madison, WI

Treatments are needed to improve outcomes among patients hospitalized for COVID-19, including direct-acting antiviral (DAA) agents to mitigate the pathology driven by ongoing viral replication. This trial will evaluate S-217622 (ensitrelvir), an anti-SARS-CoV2 3C-like protease inhibitor (PI) developed by Shionogi &; Co. Ltd. The study design is a randomized, placebo-controlled, multi-center international clinical trial that will evaluate the clinical efficacy of ensitrelvir when given in addition to standard of care (SOC) for inpatients with COVID-19. The SOC will be determined by local established guidelines and may include additional DAA (e.g., remdesivir) and immunomodulatory treatment strategies. Certain SOC treatments will be pre-specified prior to randomization. Read Less

COVID-19 can trigger a dysregulated immune response, and previous studies have shown that immune modulation can improve outcomes in hospitalized patients. This trial is designed to determine whether intensification of immune modulation early in the course of the disease (while patients are on low flow oxygen) with abatacept (active arm) combined with standard of care (SOC) improves recovery as compared with placebo + SOC (placebo arm). For both groups, intensification of immunomodulation will be provided as part of SOC in case of signs of disease progression (patient requires high flow nasal oxygen (HFNO) or more support) and/or if the patient has rapidly increasing oxygen requirement. Read Less

The study investigators are interested in learning more about how drugs, that are given to children by their health care provider, act in the bodies of children and young adults in hopes to find the most safe and effective dose for children. The primary objective of this study is to evaluate the PK of understudied drugs currently being administered to children per SOC as prescribed by their treating provider. Read Less

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. Read Less