Perioperative Predictive Value of Physical Activity on Short- and Long-term Morbidity and Mortality

What this Trial Is About

Researchers are examining whether self-reported physical activity before surgery can improve predictions of complications and mortality after surgery. The study focuses on adults undergoing elective non-cardiac surgery and looks at whether physical activity adds value beyond known risk factors like age and other health conditions. The goal is to better understand how physical activity relates to recovery and survival after surgery using data from high-income countries. This observational study collects information such as age, sex, body mass index, existing medical conditions, and physical status before surgery. The key measure is the Metabolic Equivalent of Task Score (MET-score), which reflects patients' physical activity levels reported during preoperative assessment. Researchers will analyze this data using machine learning to see if the MET-score helps predict complications and death better than current methods. Participants will be followed up to monitor mortality at 30, 60, 90, and 365 days after surgery. Additional measures include days alive and at home within 30 and 365 days after surgery, which reflect recovery quality. This study records outcomes to understand risks better and improve patient care, with all data collected during routine assessments and follow-up visits.

Perioperative Predictive Value of Physical Activity on Short- and Long-term Morbidity and Mortality