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Presepsin (sCD14-ST) for Prediction of Perioperative Risk - MET-REPAIR Nested Cohort Study

MET: REevaluation for Perioperative cArdIac Risk (MET-REPAIR): a Prospective, Multi-centre Cohort Observational Study- Presepsin (sCD14-ST) for Perioperative Risk Prediction Nested Cohort Study

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03489486
Acronym
P^3-MET-REPAIR
Enrollment
1695
Registered
2018-04-05
Start date
2018-06-15
Completion date
2019-04-30
Last updated
2018-09-25

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

Conditions

Non Cardiac Surgery

Keywords

Presepsin, sCD14-ST, biomarker, perioperative risk

Brief summary

Multicentre international prospective cohort study designed to evaluate whether preoperative presepsin (sCD14-ST) is associated with the composite endpoint: all-cause mortality and major adverse cardiovascular or cerebrovascular events (MACCE) after elevated risk non-cardiac surgery. If so: 1. What is the optimal cut-off for presepsin to predict the composite endpoint all-cause mortality and MACCE? 2. Does the calculated optimal cut-off improve prediction of the composite endpoint all-cause mortality and MACCE when added to clinical data and established biomarkers?

Detailed description

Major non-cardiac surgery is still associated with relevant cardiovascular mortality and morbidity. In Europe, in-hospital mortality exceeded 7% in patients with coronary artery disease and in those with congestive heart failure. Within 30 days of non-cardiac surgery procedures, 8% of patients will suffer a major cardiovascular event. Immunological processes, increased recruitment and infiltration of innate and adaptive immune cells into atherosclerotic lesions, have been shown to drive perioperative atherosclerotic lesion progression and plaque destabilization and are thought to promote plaque rupture. When classical monocytes are activated to inflammatory non-classical monocytes, the membrane-bound cell surface protein CD14 is released into circulation. In plasma, soluble CD14 (sCD14) is cleaved by lysosomal proteases. The N-terminal 13kDa fragment constitutes sCD14 subtype (sCD14-ST), also called presepsin. Presepsin has been established as a marker for early identification of patients with systemic infections. Recently, presepsin has been proposed as a biomarker for preoperative risk prediction in cardiac surgery. Our preliminary results in a limited number of patients suggest that presepsin is associated with major adverse cardiovascular and cerebrovascular events after non-cardiac surgery as well with all-cause mortality. Presepsin might have a test characteristic superior to conventional risk assessment on the basis of the revised cardiac risk index (RCRI), high-sensitivity cardiac Troponin-T (hs-cTnT) and N-terminal prohormone of brain natriuretic peptide (NT-proBNP). Preoperative presepsin quantification might help to identify non-cardiac surgery patients prone to experience perioperative major adverse cardiovascular and cerebrovascular events.

Interventions

None listed

Sponsors

European Society of Anaesthesiology
CollaboratorOTHER
University Hospital Heidelberg
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

* Enrollment in MET-REPAIR (NCT03016936) * Signed written informed consent No

Exclusion criteria

I

Design outcomes

Primary

MeasureTime frameDescription
Composite of intra- and postoperative in hospital all-cause mortality, non-fatal cardiac arrest, acute myocardial infarction, congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care ≥24h and strokeat discharge or at day 30 after surgery (whatever comes first)Number of Patients with Composite of intra- and postoperative in hospital all-cause mortality, non-fatal cardiac arrest, acute myocardial infarction, congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care ≥24h and stroke

Secondary

MeasureTime frameDescription
All-cause mortality30 daysNumber of patients that die of any cause
Non-fatal cardiac arrest30 daysNumber of patients with non-fatal cardiac arrest
Myocardial infarction30 daysNumber of patients with myocardial infarction
Congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care (≥24h)30 daysNumber of patients with congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care (≥24h)
Stroke30 daysNumber of patients with stroke
Composite of intra- and postoperative in hospital all-cause mortality, non-fatal cardiac arrest, acute myocardial infarction, congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care ≥24h and stroke30 daysNumber of Patients with composite of intra- and postoperative in hospital all-cause mortality, non-fatal cardiac arrest, acute myocardial infarction, congestive heart failure requiring transfer to a higher unit of care or prolonging stay on ICU/intermediate care ≥24h and stroke for patients recruited in centers conducting 30-day follow-up
In-hospital cardiovascular mortality30 daysNumber of patients that die in hospital of a cardiovascular cause
Complications ≥ 3 in Clavien Dindo Classificationwithin 30 days after surgeryNumber of patients with ≥ 3 complications in Clavien Dindo Classification
Length of Hospital staywithin 30 days after surgeryNumber of days participants stayed in hospital
Length of ICU staywithin 30 days after surgeryNumber of days participants stayed in ICU
Myocardial injury after non-cardiac surgery (MINS)within 30 days after surgeryNumber of Patients with MINS
Cardiovascular mortality30 daysNumber of patients that die of a cardiovascular cause

Countries

Germany

Contacts

Primary ContactJan Larmann, MD/PhD
jan.larmann@med.uni-heidelberg.de+49 6221 56
Backup ContactFlorian Espeter, MD
florian.espeter@med.uni-heidelberg.de+49 6221 56

Outcome results

None listed

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