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

Perioperative Impact After Non-cardiac Surgery of Physical Activity on Short- and Long-term Morbidity and Mortality

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06678360
Acronym
PeriopIPA
Enrollment
180000
Registered
2024-11-07
Start date
2024-11-01
Completion date
2025-12-01
Last updated
2025-06-06

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

General Surgery, Perioperative Complication, Perioperative Medicine, Physical Inactivity

Keywords

MET-scores, Physical activity, Perioperative mortality

Brief summary

Over 300 million surgeries are performed globally every year. Complications after surgery - infections, cardiovascular conditions, postoperative pulmonary complications and renal impairment - affect survival and quality of life. Age and co-morbidity are unmodifiable factors, contributing to increased risk of these perioperative complications. However, a modifiable risk factor is physical activity. This study aims to test if self reported physical activity is associated to lower risk of perioperative morbidity and mortality.

Detailed description

Research question: This cohort study investigates if higher levels of self reported physical activity at preoperative assessment is associated to lower risk of complications and lower mortality. Background: Previous studies of perioperative outcomes in high-income countries indicate that close to 20% had complications within 30 days after surgery, and that around 3% died within 1 yr after surgery. In multiple studies, postoperative complications massively increase risk of 1yr mortality. Whilst perioperative complications are under-reported, they affect length of stay and days at home up to 30 days after surgery (DAH30). DAH30 is a validated, patient-centered outcome measure with prognostic importance due to high sensitivity to changes in surgical risks and the impact of surgical complications. Data collection: Age, sex, body mass index, co-morbid conditions (using ICD-codes and reported medication) as well as American Society of Anesthesiologists (ASA) physical status classification will be recorded. Exposure: the Metabolic Equivalent of Task Score (MET-score), reported in the electronic health record by the attending anesthesiologist based on patient history in conjunction with the preoperative assessment. Analysis: The MET-score is the exposure/the dependent variable and the other factors will be used in multivariable analyses.

Interventions

None listed

Sponsors

Karolinska Institutet
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Adult patients (equal to or over 18 years) undergoing elective non-cardiac surgery at the two study sites, Karolinska University Hospital Solna and Karolinska University Hospital Huddinge

Exclusion criteria

Patients under the age of 18, transplant, day surgery, acute surgery, anesthesia monitoring, brachy therapy and gamma knife interventions. In case of multiple surgeries, only the first will be included.

Design outcomes

Primary

MeasureTime frameDescription
MortalityMortality will be recorded at 30, 60, 90 and 365 days after index surgeryDeath within the time frames described below
DAH30 (Days At Home alive at 30 days)30, 90 and 365 days after index surgery,DAH30: Patients who are hospitalized for 14 days postoperatively but are alive on day 30 will have DAH30=16. Patients who are hospitalized for five days, then discharged, but return after 10 days for an additional 11-day stay, will have DAH30=14. Anyone who dies within 30 days will have DAH30=0. This outcome measure is validated in several studies and has a significant advantage in that it correlates well with complications, even better than length of stay (LOS). We will further record DAH90 and DAH365, calculated as described above.

Secondary

MeasureTime frameDescription
Length of stayOne year after index surgeryNumber of days in the hospital after index surgery

Countries

Sweden

Contacts

Primary ContactMax Bell, MD, PhD
max.bell@regionstockholm.se+46708278533
Backup ContactArman Valadkhani, MD
arman.valadkhani@regionstockholm.se

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026