Anticardiolipin Autoantibodies as Useful Biomarker for the Prediction of Mortality in Septic Patients
Trial Snapshot
- Phase
- Not Applicable
- Sponsor
- Enrollment
- 50
- Locations
- 1
- Primary Endpoint
- ICU mortality
Study Overview
Brief Summary
The detection of antiphospholipid antibodies (aPL) is of interest because of their importance in the pathogenesis of arterial or venous thrombosis and their responsibility for a wide spectrum of clinical manifestations such as infection. The aim of the study was to assess the performance of antiphospholipid antibodies biomarker to predict in- hospital mortality in intensive care unit (ICU) septic patient's.
Detailed Description
the investigators conducted a prospective single-center observational study including consecutive critically ill septic adults admitted to the intensive care unit. Clinical and laboratory data including chemiluminescence immunoassay for antiphospholipid antibodies [anticardiolipin (aCL), antiphosphatidylserine (aPS)] were obtained. Blood samples were collected on days 1, 3, 5, 8 and 10 of hospitalization. The primary study endpoint was ICU mortality defined as death before ICU discharge. Secondary end points included correlation between SOFA score and biological parameters.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •patients, admitted to the ICU for sepsis and older than 18 years
Exclusion Criteria
- •pregnancy
- •clinical history of antiphospholipid syndrome
- •auto-immune diseases
- •immunosuppressive treatment
Outcomes
Primary Outcomes
ICU mortality
Time Frame: mortality at day 14 of hospitalization
Mortality was defined as death before ICU discharge Multivariate logistic regression modeling will beperformed to found factors associated with higher mortality
Secondary Outcomes
- correlation between SOFA score and antiphospholipid antibodies.(on days 1, 3, 5, 8 and 10 of hospitalization)
Investigators
Hajjej Zied
Professor
Military Hospital of Tunis