Proteomics and Physiological Parameters Predicting Complications After Colorectal Cancer Surgery

Towards Precision Perioperative Medicine: Multimodal Prediction of Surgical Complications Using Proteomics and Physiological Monitoring

Status

Not yet recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT07494669

Acronym

ProComp

Enrollment

210

Registered

2026-03-27

Start date

2026-04-07

Completion date

2028-03-30

Last updated

2026-03-27

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

Conditions

Observation, Postoperative

Keywords

complications, risk stratification, proteomics

Brief summary

Study combines physiological data from wearables, continuous glucose montiors and proteomics to better assess risk of complications after colorectal surgery

Interventions

DIAGNOSTIC_TESTRisk stratification with proteomics and data from wearables and CGMs

Risk Stratification

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

18 Years to No maximum

Healthy volunteers

Inclusion criteria

* Scheduled for elective colorectal cancer surgery

Exclusion criteria

Design outcomes

Primary

Measure	Time frame
Complications (Clavien-Dindo >0)	30 days postoperatively

Secondary

Measure	Time frame	Description
Serious complications	30 days postoperatively	Clavien-Dindo\>2

Contacts

CONTACTTomas Vedin, MD, PhD

tomas.vedin@med.lu.se+4640331200

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 28, 2026