Clinical Research Directory

AirGo™ Respiratory Monitoring in Lung Resection

Patients undergoing lung resection surgery may experience changes in respiratory function during the perioperative period. Current monitoring methods provide important clinical information but are often limited to specific time points and may not allow continuous assessment of ventilation. This study aims to evaluate the feasibility and usefulness of the AirGo™ wearable respiratory monitoring system in patients undergoing anatomical lung resection (lobectomy or segmentectomy). AirGo™ is a non-invasive, CE-marked device that continuously measures respiratory parameters, including minute ventilation and respiratory rate, through a chest-worn sensor. Participants will wear the AirGo™ device before surgery and during the postoperative period. Respiratory parameters collected by AirGo™ will be analyzed at predefined time points and compared with standard clinical monitoring methods routinely used in postoperative care, including pulse oximetry and telemetry. The primary objective is to assess changes in mean minute ventilation from the preoperative period to the first postoperative day. Secondary objectives include evaluating perioperative respiratory trends, patient comfort and compliance with the device, and the agreement between AirGo™ measurements and standard monitoring systems. The results of this study may help determine whether continuous non-invasive respiratory monitoring can improve the assessment and management of patients undergoing lung surgery.

Wearable Device-Based Early Warning of Postoperative Complications in Thoracic Surgery

After thoracic surgery, some patients may develop complications such as lung infection, abnormal heart rhythm, fluid around the lung, prolonged air leak, wound infection, emergency department visits, or hospital readmission. These problems may not be found early if monitoring is only done during routine vital sign checks or follow-up visits. This study will evaluate whether data collected by a wearable device can help identify early warning signs of postoperative complications in patients undergoing thoracic surgery. The wearable device will collect information such as heart rate, oxygen level, skin temperature, physical activity, sleep, and wearing status. The study includes two parts. First, the researchers will review previously collected wearable device and medical record data to develop an early warning model. Second, new patients undergoing thoracic surgery will wear the device from hospital admission until about 30 days after discharge. The model will then be tested to see how well it predicts complications that require medical intervention within 30 days after surgery. The main goal is to evaluate how accurately the wearable device-based model can identify patients who develop postoperative complications and how early the model can provide a warning before the complication is clinically confirmed.