Prediction for Systemic Inflammation With Clinical Scoring Systems and Inflammatory Cytokine Levels in Adult Cardiac and Major Abdominal Surgical Patients
Overview
- Phase
- N/A
- Intervention
- Not specified
- Conditions
- Heart; Dysfunction Postoperative, Cardiac Surgery
- Sponsor
- Khon Kaen University
- Enrollment
- 20
- Locations
- 1
- Primary Endpoint
- Correlation of clinical scoring systems and inflammatory cytokine levels
- Status
- Completed
- Last Updated
- 14 years ago
Overview
Brief Summary
Cardiac surgery with cardiopulmonary bypass (CPB) and hepatic surgery are major operations, associated with a systemic inflammatory response syndrome. The aim of this study is to assess the effectiveness of clinical scoring systems and inflammatory cytokine levels for predicting systemic inflammation. This correlation might identify peri-operative clinical outcomes, then forecast further systemic inflammation in cardiac and hepatic surgical patients.
Detailed Description
Systemic inflammatory response syndrome (SIRS) is commonly found in most major surgery. Early detection of SIRS will lead to early treatment. Serum cytokines levels are reliable markers for SIRS detection but with high cost and inconvenience. Clinical Scoring Systems are commonly used for assessment of patients with SIRS. If they have good correlation with cytokine levels, they might be used to predict peri-operative clinical outcomes.
Investigators
Eligibility Criteria
Inclusion Criteria
- •adult patients who had undergone elective cardiac surgery with CPB
Exclusion Criteria
- •under 18 years of age
- •needing emergency surgery
- •needing intra-aortic balloon pump
Outcomes
Primary Outcomes
Correlation of clinical scoring systems and inflammatory cytokine levels
Time Frame: 24 h after CPB
Blood samples were collected sequentially at 0, 0.5, 4, 12, and 24 h after CPB for cytokines \[Interleukin (IL)-6, IL-8, and IL-10\] investigation and leukocyte counts. Clinical scoring systems \[Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA) and Multi-Organ Dysfunction (MOD)\] were calculated and recorded at each time point. Correlations were assessed.