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Clinical Trials/NCT02727413
NCT02727413CompletedNot Applicable

Inflammatory and Vasoactive Mediator Profiles and Pathogen Characterization During Heart Valve Replacement Surgery

Jena University Hospital1 site in 1 country40 target enrollmentStarted: June 2016Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Completed
Enrollment
40
Locations
1
Primary Endpoint
Area under the plasma concentration versus time curve (AUC) of C-reactive Protein (CRP)

Study Overview

Brief Summary

The study aims at the comparative examination of pre-, intra- and post-operative release profiles of inflammatory and vasoactive mediators in patients undergoing heart valve surgery under cardiopulmonary bypass (CPB) due to either infectious endocarditis or degenerative valvular heart disease. Specific attention will focus on the distinction between mediator release associated with infection and that resulting from CPB. Concomitantly identification and characterization of infectious pathogens in the circulation and in valvular samples will be carried out, together with the search for resistance-coding transcripts.

Detailed Description

Exaggerated release of inflammatory mediators and endogenous vasoactive substances resulting from the coincident infection and surgical stress plays a role in post-operative organ failure and altered immune defense, thus contributing to unfavorable post-operative outcome.

Cardiopulmonary bypass (CPB) itself, even in the absence of IE, has been shown to modify cytokine and vasoactive mediator release and may cause organ failure. Tracing of release profiles of inflammatory cytokines and vasoactive mediators and their correlation with postoperative organ dysfunction in cardiac surgery for IE or non-IE patients aims at the assessment of the prognostic validity of these biomarkers and the evaluation of measures for their pro-active clearance during the surgical intervention.

Induction of inflammatory mediators and their temporal release profile may vary depending on the involved pathogens, which cannot be always identified by conventional techniques (blood culture). Since it is conceivable that identification of the involved pathogen could explain differences in cytokine secretory patterns in IE, use of advanced molecular technologies (NGS) will support the clarification of such relations. Analysis of transcripts encoding inflammatory and vasoactive mediators in blood cells will enable the surveillance of temporal oscillations in their profiles during the observation time frame. Transcriptome analysis of identified putative pathogens can also disclose features of antibiotic resistance.

Study Design

Study Type
Observational
Observational Model
Case Control
Time Perspective
Cross Sectional

Eligibility Criteria

Ages
18 Years to — (Adult, Older Adult)
Sex
All
Accepts Healthy Volunteers
No

Inclusion Criteria

  • signed informed consent
  • age > 18
  • confirmed diagnosis of infective endocarditis or valvular heart disease
  • scheduled surgical Intervention with CPB use

Exclusion Criteria

  • glucocorticoid dosage above Cushing threshold
  • severe neutropenia (below 1000/mm3)
  • immunosuppression or immunomodulatory therapy
  • pregnancy

Outcomes

Primary Outcomes

Area under the plasma concentration versus time curve (AUC) of C-reactive Protein (CRP)

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of CRP over time

Area under the plasma concentration versus time curve (AUC) of Interleukin (IL) 10

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of IL 10 over time

Area under the plasma concentration versus time curve (AUC) of Endothelin 1

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of Endothelin 1 over time

Area under the plasma concentration versus time curve (AUC) of Tumor Necrosis Factor (TNF) alpha

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of TNF alpha over time

Area under the plasma concentration versus time curve (AUC) of Interleukin (IL) 1beta

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of IL 1beta over time

Area under the plasma concentration versus time curve (AUC) of Procalcitonin

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma levels of Procalcitonin over time

Area under the plasma concentration versus time curve (AUC) of Interleukin (IL) 6

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of IL 6 over time

Area under the plasma concentration versus time curve (AUC) of Interleukin (IL) 18

Time Frame: 24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery

Plasma Levels of IL 18 over time

Secondary Outcomes

  • Area under the plasma concentration versus time curve (AUC) of pro-Atrial natriuretic peptide(24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery)
  • Area under the plasma concentration versus time curve (AUC) of pro-Adrenomedullin(24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery)
  • SOFA Score(24 h before and 24 and 48 h after surgical intervention)
  • Concomitant medication(During and 48 h upon completion of surgical intervention)
  • Renal replacement therapy(Over 7 days following surgery)
  • Area under the plasma concentration versus time curve (AUC) of pro-Arginine vasopressin(24 h before surgery - connection/disconnection of CPB - 24 and 48 h post-surgery)
  • In-hospital mortality(30 days after surgery)

Investigators

Sponsor Class
Other
Responsible Party
Sponsor

Study Sites (1)

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