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ID05199025

Using Biomarkers to Predict and Improve Outcomes After High-Risk Cardiac, Gastrointestinal, Vascular, and Lung Surgeries

Led by St. Antonius Hospital · Updated on 2026-04-27

5000

Participants Needed

2

Research Sites

26 weeks

Total Duration

AI-Summary

What this Trial Is About

Researchers are investigating the use of perioperative biomarkers to better understand and predict complications after high-risk surgeries such as cardiac, colorectal, vascular, and lung surgeries. The study aims to collect detailed information to develop models that can predict major postoperative complications like infections, pneumonia, sepsis, kidney injury, cardiovascular events, or death within 30 days of surgery. This multicenter, prospective, observational study involves 4819 patients undergoing elective surgeries. The study involves collecting blood samples and clinical data before and after surgery to analyze levels of biomarkers including PCT, CRPhs, IL-6, GDF-15, sFLT, NT-proBNP, cTNThs, CysC, and NGAL. Blood samples are taken five times per patient, mostly alongside routine lab tests, and through arterial lines if admitted to the Intensive Care Unit. There are no interventions or treatments rather, the biomarkers are studied to improve risk prediction and management. Participants will undergo blood draws and routine clinical assessments during their surgical care. Researchers will monitor outcomes such as major postoperative complications within 30 days and longer-term events including mortality and disability up to 120 days. The study also tracks recovery metrics like days alive and at home within 120 days. There is no direct risk or benefit to participants, and data collection occurs alongside standard medical care over the perioperative period.

CONDITIONS

Brief Title

Biomarkers in Perioperative Management

Research Team

P

Peter Noordzij

T

Thijs Rettig

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