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

18. maj 2026 opdateret af: Max Bell, Karolinska Institutet

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 has added predicted value, beyond established risk factors, for predicting perioperative morbidity and mortality.

Studieoversigt

Status

Rekruttering

Betingelser

Detaljeret beskrivelse

Research question: This cohort study investigates if higher levels of self reported physical activity at preoperative assessment has added predicted value, beyond established risk factors, for predicting perioperative morbidity and 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. DAH365, the days at home up to one year after surgery, is also an important patient-centered outcome measure.

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. The predictor of interest: 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 predictor of interest. The potential added predictive value of the MET-score, will be assed using a machine learning approach, by comparing it to other established predictive factors.

Undersøgelsestype

Observationel

Tilmelding (Anslået)

50000

Kontakter og lokationer

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Studiekontakt

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Studiesteder

Deltagelseskriterier

Forskere leder efter personer, der passer til en bestemt beskrivelse, kaldet berettigelseskriterier. Nogle eksempler på disse kriterier er en persons generelle helbredstilstand eller tidligere behandlinger.

Berettigelseskriterier

Aldre berettiget til at studere

  • Voksen
  • Ældre voksen

Tager imod sunde frivillige

N/A

Prøveudtagningsmetode

Sandsynlighedsprøve

Studiebefolkning

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

Beskrivelse

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.

Studieplan

Dette afsnit indeholder detaljer om studieplanen, herunder hvordan undersøgelsen er designet, og hvad undersøgelsen måler.

Hvordan er undersøgelsen tilrettelagt?

Design detaljer

Hvad måler undersøgelsen?

Primære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
Mortality
Tidsramme: [Time Frame: Mortality will be recorded at 30, 60, 90 and 365 days after index surgery]
Death within the time frames described below
[Time Frame: Mortality will be recorded at 30, 60, 90 and 365 days after index surgery]

Sekundære resultatmål

Resultatmål
Foranstaltningsbeskrivelse
Tidsramme
DAH30 (Days At Home alive at 30 days)
Tidsramme: 30 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).
30 days after index surgery
DAH365 (Days At Home alive at 365 days)
Tidsramme: 365 days after index surgery
DAH365: See above
365 days after index surgery

Samarbejdspartnere og efterforskere

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Sponsor

Karolinska Institutet

Datoer for undersøgelser

Disse datoer sporer fremskridtene for indsendelser af undersøgelsesrekord og resumeresultater til ClinicalTrials.gov. Studieregistreringer og rapporterede resultater gennemgås af National Library of Medicine (NLM) for at sikre, at de opfylder specifikke kvalitetskontrolstandarder, før de offentliggøres på den offentlige hjemmeside.

Studer store datoer

Studiestart (Anslået)

1. maj 2026

Primær færdiggørelse (Anslået)

31. oktober 2026

Studieafslutning (Anslået)

30. november 2026

Datoer for studieregistrering

Først indsendt

18. maj 2026

Først indsendt, der opfyldte QC-kriterier

18. maj 2026

Først opslået (Faktiske)

22. maj 2026

Opdateringer af undersøgelsesjournaler

Sidste opdatering sendt (Faktiske)

22. maj 2026

Sidste opdatering indsendt, der opfyldte kvalitetskontrolkriterier

18. maj 2026

Sidst verificeret

1. maj 2026

Mere information

Begreber relateret til denne undersøgelse

Nøgleord

Andre undersøgelses-id-numre

  • PeriopPrePA Karolinska

Plan for individuelle deltagerdata (IPD)

Planlægger du at dele individuelle deltagerdata (IPD)?

INGEN

IPD-planbeskrivelse

Due to Swedish law, we are unable to share IPD; data can not be reliably anonymized.

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