Predicting post-surgery ICU outcomes using IL-6 and blood-count inflammation scores
The Effects of IL-6 and Inflammation Scores on Mortality in Postoperative Patients Admitted to the Intensive Care Unit
This study will test whether IL-6 levels and routine blood-count inflammation scores at ICU admission and 24 hours can help predict complications and in-hospital death for adults after surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 42 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Trabzon Kanuni Education and Research Hospital Academic / other |
| Locations | 1 site (Trabzon) |
| Trial ID | NCT07460141 on ClinicalTrials.gov |
What this trial studies
This is a prospective observational cohort of adult postoperative patients admitted to a single intensive care unit. IL-6 levels will be recorded at ICU admission and at 24 hours, and routine labs will be used to calculate hemogram-derived indices (for example NLR, PLR, SII, SIRI, NMR, CAR, CLR, and mSIS). Clinical severity (APACHE II, SOFA) and comorbidity (Charlson) scores, surgical details, and outcomes including mortality, morbidity, infections, antibiotic use, and duration of mechanical ventilation will be recorded. Analyses will examine associations between biomarkers and outcomes after adjustment for illness severity and other confounders, with no interventions beyond standard care.
Who should consider this trial
Good fit: Adults (age ≥18) admitted to the ICU after surgery with available routine clinical and laboratory data at admission and 24 hours, and who provide informed consent, are eligible.
Not a fit: Patients under 18 and those having cardiac or thoracic surgery are excluded and would not benefit from this study's findings.
Why it matters
Potential benefit: If successful, these common laboratory measures could help clinicians identify postoperative ICU patients at higher risk of complications or death earlier.
How similar studies have performed: Previous research has linked IL-6 and hemogram-derived indices like NLR to outcomes in critical illness, but combined predictive models in postoperative ICU populations have been variably validated.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years * Postoperative patients admitted to the ICU * Availability of complete clinical and laboratory data at ICU admission and at 24 hours * Provision of informed consent by the patient or legally authorized representative Exclusion Criteria: * Age \< 18 years * Thoracic surgery patients * Cardiac surgery patients
Where this trial is running
Trabzon
- Recep Erin — Trabzon, Turkey (Türkiye) (Recruiting)
Study contacts
- Study coordinator: Ezgi Günaydın, MD
- Email: ezgunaydin@gmail.com
- Phone: +905336834198
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.