PERIOPERATIVE CARE

This study is testing a new treatment model for elderly patients (65+) with early-stage lung cancer. It combines advanced surgical techniques, personalized care before and after surgery, and rehabilitation programs. The goal is to improve survival and reduce complications. Resear…

This study tests whether using a smartphone app (Fissios App) for breathing exercises, in addition to in-person physiotherapy, can reduce complications after lung cancer surgery. About 560 adults with non-small cell lung cancer scheduled for surgery will be randomly assigned to e…

This study compares two monitors used during laparoscopic abdominal surgery to see which one better predicts whether giving fluids will help the heart pump more effectively. About 300 adults having elective surgery will receive small fluid boluses, and the monitors' readings will…

This study tests whether a single dose of methadone, a long-acting opioid, can control pain better than standard short-acting opioids (like fentanyl) in infants and young children after cleft palate repair. About 60 children aged 6 months to 4 years will participate. The goal is …

This study tests a simple idea: having a parent or family member involved in a child's anesthesia care to reduce emergency delirium—a state of confusion, crying, or thrashing when waking up from surgery. Researchers will compare this family-centered approach to standard care in 4…

This study tests whether a device called the CoreSys monitor can help reduce the body's stress response during abdominal hysterectomy. Thirty women having the surgery will be randomly assigned to standard anesthesia or anesthesia guided by the monitor. Researchers will measure st…

This observational study will analyze data from 3,000 people with complex congenital heart disease who have had or will have heart surgery in China. Researchers aim to identify key risk factors affecting recovery and build a quality control system to improve surgical care. Partic…

This study observes 50 adults having surgery to understand why their blood pressure drops. Researchers will use machine learning to find patterns in how different patients respond to treatment. The goal is to create personalized recommendations for managing low blood pressure dur…

This study compares two common risk assessment tools—the Charlson Comorbidity Index (CCI) and the POSSUM score—to see which better predicts complications in women undergoing surgery for gynecologic cancers. Researchers will track complications, hospital stay length, and 30-day de…