Study of Self-Reported Physical Activity and Its Role in Predicting Risks After Elective Non-Cardiac Surgery in Adults

What this Trial Is About

Researchers are investigating how self-reported physical activity before surgery may help predict complications and death after elective non-cardiac surgery in adults. The study focuses on whether physical activity adds predictive value beyond known risk factors like age and co-existing health conditions. This observational cohort study examines perioperative morbidity and mortality, which affect survival and quality of life after surgery. Participants are adults undergoing elective non-cardiac surgery at two hospital sites. Data collected includes age, sex, body mass index, co-morbid conditions, and the American Society of Anesthesiologists physical status classification. The key measure is the Metabolic Equivalent of Task Score MET-score, which assesses physical activity and is recorded during the preoperative assessment. The study uses machine learning to compare the MET-scores predictive value against established risk factors. Participants outcomes will be tracked through measures such as mortality at 30, 60, 90, and 365 days after surgery, as well as days spent at home alive up to 30 and 365 days post-surgery. Researchers will collect clinical data and health records to evaluate the relationship between physical activity and postoperative outcomes. The total participant involvement lasts up to one year after surgery, with ongoing monitoring of complications and survival.

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