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Acute Lung Injury Phase 3 Nutrition Strategy NCT00883948

EDEN: Complete Statistical Analysis of Early Versus Delayed Enteral Feeding in Acute Lung Injury or Acute Respiratory Distress Syndrome

An independent statistical review of the randomized phase 3 EDEN study comparing minimal (trophic) feeding with full feeding in people with acute lung injury or acute respiratory distress syndrome.

ClinicalTrials.gov record: NCT00883948
Scope of this record

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

EDEN was a completed randomized phase 3 parallel-group trial evaluating two enteral feeding strategies in adults with acute lung injury or acute respiratory distress syndrome.

1000
Enrollment
2
Arms
Phase 3
Study Phase
2007-12
Start Date
FeatureEDEN
ConditionRespiratory Distress Syndrome, Adult
AllocationRandomized
Design modelParallel
MaskingNone
Primary purposeTreatment
SponsorNational Heart, Lung, and Blood Institute (NHLBI)
Primary completion date2011-03

2. Clinical Question

Population

People with acute lung injury or acute respiratory distress syndrome.

Intervention

Minimal (trophic) feeding.

Comparator

Full feeding.

Primary question

How do two enteral feeding strategies compare for prespecified clinical outcomes?

3. Trial Design

Randomization

Patients were allocated randomly.

Structure

Two-arm parallel-group treatment comparison.

Minimal (Trophic) Feeding

  • Behavioral intervention

Full Feeding

  • Behavioral intervention

4. Endpoints

EndpointTime frame
Number of ventilator-free days (VFD)Measured at Day 28
Mortality before hospital discharge, with unassisted breathingMeasured at Days 60 and 90

5. Planned Analysis

The registry lists the primary endpoints but does not report posted statistical analyses or endpoint estimates. No formal statistical analyses were posted to ClinicalTrials.gov.

For ventilator-free days, an analysis would typically compare the distribution of ventilator-free time between randomized groups because this endpoint combines survival and duration of mechanical ventilation. The appropriate method depends on the prespecified statistical analysis plan, including how deaths and ventilation duration are handled.

For mortality before hospital discharge with unassisted breathing, analysis would typically use methods for binary or time-to-event outcomes depending on the prespecified definition. Common approaches include comparison of event proportions, survival methods, or regression models adjusted for design features.

Interpretation: The registry identifies what was measured and when it was measured. It does not provide outcome estimates, confidence intervals, or p-values for these primary endpoints.

6. Statistical Methodology

Randomized treatment comparison

Randomization is the foundation of the treatment comparison. By assigning participants to feeding strategies rather than allowing treatment choice, the trial design aims to balance measured and unmeasured baseline factors on average.

Ventilator-free days as a composite endpoint

Ventilator-free days incorporate more than one clinical experience: survival and liberation from mechanical ventilation. Interpretation requires understanding the endpoint definition because patients who die and patients who remain ventilated contribute differently than patients who achieve sustained ventilator independence.

Mortality endpoints

Mortality outcomes are commonly analyzed using methods designed for binary outcomes or time-to-event data. The statistical interpretation depends on the exact analysis population, event definition, and censoring rules specified in the analysis plan.

7. Statistical Methods Explained

Why use randomization?

Randomization reduces systematic differences between treatment groups and allows differences in outcomes to be interpreted as treatment comparisons rather than simple associations.

Why are ventilator-free days statistically challenging?

Ventilator-free days combine multiple possible outcomes. A patient may survive without prolonged ventilation, remain ventilated, or die. The chosen statistical method must reflect how these outcomes are ranked and analyzed.

Why are mortality outcomes analyzed differently from continuous measurements?

Mortality is an event outcome rather than a simple numeric measurement. Statistical methods account for whether and when events occur.

What does a confidence interval show?

A confidence interval describes uncertainty around an estimated treatment effect. It does not describe the range of outcomes experienced by individual patients.

Why does the analysis population matter?

The interpretation of a randomized trial depends on whether participants are analyzed according to randomized assignment or according to treatment received.

8. Limitations

9. Why This Trial Matters Statistically

EDEN illustrates several important clinical-trial concepts:

ConceptApplication
RandomizationComparison of two feeding strategies
Parallel designSeparate randomized treatment groups
Composite endpointsVentilator-free days combine clinically meaningful outcomes
Time-based outcomesMortality measured at defined follow-up points

10. Related Tutorials

No related tutorial cards are available for this trial.

11. Related Calculators

No related calculator cards are available for this trial.

12. Sources