Clinical Research Directory

This Study is Assessing the Safety and Efficacy of Immune Inhibition as a Treatment to Prevent Primary Graft Dysfunction

Lung transplant recipient survival lags other solid organ recipients, with the main early cause of death being primary graft dysfunction (PGD). PGD occurs in up to 1/3 of all recipients, is driven by the body's innate immune response, and has no known medical therapies for treatment or prevention. Investigators have recently shown that Natural Killer (NK) cells, a key innate immune cell, are critical in causing PGD. Importantly, the investigators found that Maraviroc, an FDA-approved drug that works to inhibit these immune cells, prevented lung injury in mouse models of PGD. The goal of this clinical trial is to learn if Maraviroc works to treat PGD in Lung Transplant patients who are above the age of 18 and have a PGD risk score greater than 50%. The objectives the study hopes to address are: To address the safety and tolerability of Maraviroc. To test a strategy for PGD enrichment in a lung transplant population. To measure the efficacy and biological efficacy of using Maraviroc. To study the biochemical, physiologic, and molecular effects of the drug on the body. This will be a double blind study where patients will either get the Maraviroc drug or a placebo. Researchers will then compare the two groups to address the above objectives. Participants will: Take drug Maraviroc or a placebo every 12 hours for 3 days post surgery. Follow up will occur during the entire length of stay at UCSF, about 16 days, with a single 12 month follow up once released.

A Study on the Treatment of Patients With Acute Lung Injury Caused by Sepsis Through Microbiota Transplantation

Sepsis is a systemic inflammatory response syndrome triggered by infection, and it is a common critical illness in clinical practice, often leading to multiple organ dysfunction. Among these, acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are among the most severe complications. The mortality rate of sepsis-related lung injury is extremely high, reaching 30% - 50%. The existing treatment methods are unable to effectively reduce the high mortality rate of sepsis-related lung injury, and there are no specific treatment measures targeting lung injury itself. Dysbiosis of the intestinal flora plays an important role in the occurrence and development of sepsis-related lung injury. Fecal microbiota transplantation (FMT), as an effective means of regulating the intestinal flora, has shown certain therapeutic potential in some clinical studies. However, current research on FMT for treating sepsis-related lung injury is still in its infancy, and its mechanism is not yet fully clear. The clinical efficacy and safety also lack high-quality evidence support. Therefore, conducting this project's research will provide theoretical basis for targeted microecological treatment of sepsis-related lung injury; establishing a new strategy of combined microbiota transplantation technology for treating patients with sepsis ALI, and providing new ideas and methods for clinical treatment.

Recovery of Physical Function After Critical Illness In Older Adults

The proposed study is a prospective, observational study assessing the recovery of muscle and physical function in patients surviving critical illness (n =150) at hospital discharge (baseline) and repeated serially. Patients will be enrolled after life-saving modalities have been weaned near hospital discharge. Patients will participate in testing at baseline, 3-, 6-, 12-, and 24-months after hospital discharge. In a subset of patients (n = 18), muscle biopsies will be performed at baseline and then repeated once at either 12- or 24-months after hospital discharge.

Digital Early Warning System for Acute Lung Injury in Liver Surgery

This study focuses on developing an explainable machine learning model based on cardiopulmonary interaction characteristics to achieve early prediction of acute lung injury (ALI) in patients undergoing major liver surgery. The research will establish a digital early-warning system for ALI to provide support for clinical diagnosis and treatment decisions, thereby reducing the incidence and fatality rate of ALI.