← Clinical Trial Results
Septic Shock Randomized Trial Fluid Resuscitation NCT03762005

ANDROMEDA-SHOCK: Complete Statistical Analysis of Peripheral Perfusion Versus Lactate Targeted Fluid Resuscitation in Septic Shock

An independent statistical review of the randomized ANDROMEDA-SHOCK trial comparing peripheral perfusion guided resuscitation with lactate guided resuscitation strategies in patients with septic shock.

ClinicalTrials.gov record: NCT03762005
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

ANDROMEDA-SHOCK was a randomized, parallel, single-masked clinical trial evaluating two approaches to fluid resuscitation guidance in septic shock.

46
Enrollment
2
Arms
2018-06-01
Start date
2019-09-30
Primary completion
FeatureANDROMEDA-SHOCK
NCT IDNCT03762005
TitlePeripheral Perfusion Versus Lactate Targeted Fluid Resuscitation in Septic Shock
PhaseNA
AllocationRandomized
Design modelParallel
MaskingSingle
Primary purposeTreatment
SponsorPontificia Universidad Catolica de Chile

2. Clinical Question

Population

Patients with septic shock, hyperlactatemia, and peripheral perfusion considerations.

Intervention

CRT guided resuscitation.

Comparator

Lactate guided resuscitation.

Primary question

Does the selected resuscitation guidance strategy influence the amount of fluid administered during the initial protocol period?

3. Trial Design

Randomization

Patients were assigned using a randomized design.

Structure

Parallel two-arm comparison.

Masking

Single masking.

Arms

Two resuscitation strategies.

4. Study Arms

CRT guided resuscitation

Intervention arm using peripheral perfusion guidance.

Lactate guided resuscitation

Comparator arm using lactate guidance.

5. Endpoints

EndpointTime frameDescription
Amount of resuscitation fluidsAt six hoursThe total amount of fluids administered as fluid challenges from baseline to 6 hours after starting protocol.

6. Statistical Methodology

The registry identifies the primary endpoint as a continuous measurement of fluid administration over a defined six-hour period. Statistical analysis of an endpoint of this type generally compares the distribution of fluid volumes between randomized groups using methods appropriate for the observed data characteristics.

Continuous endpoint framework
Treatment comparison → estimate difference in fluid volume between randomized groups

The statistical interpretation depends on the prespecified analysis method, assumptions about distribution, variability, and handling of missing observations.

7. Planned Analysis

The registry reports measurement of the amount of resuscitation fluids administered as fluid challenges from baseline to six hours after starting protocol. No statistical analyses are posted to ClinicalTrials.gov for this endpoint.

For a randomized comparison of a continuous outcome, an analysis would typically estimate the difference between groups with uncertainty measures such as confidence intervals. The clinical interpretation would depend on the size and precision of that estimated difference rather than the endpoint alone.

8. Statistical Methods Explained

Why is randomization important in this trial?

Randomization creates the basis for comparing two resuscitation strategies because treatment assignment is determined independently of patient characteristics.

Why is the primary endpoint measured at six hours?

A fixed time window creates a standardized comparison of fluid administration during the early protocol period.

What type of statistical outcome is amount of fluid?

Fluid volume is a continuous outcome, meaning each participant contributes a numerical measurement rather than an event occurrence.

Why does masking matter?

Masking can reduce the influence of knowledge of assignment on trial conduct or assessment when applicable.

Why are confidence intervals useful?

Confidence intervals describe uncertainty around an estimated treatment difference and help distinguish precise from imprecise estimates.

Why does a p-value not describe clinical importance?

A p-value addresses compatibility with a statistical hypothesis. It does not directly describe the magnitude or practical importance of an observed difference.

9. Limitations

10. Why This Trial Matters Statistically

ANDROMEDA-SHOCK illustrates several important principles in clinical trial methodology:

ConceptApplication
RandomizationComparison of two prospectively assigned resuscitation strategies.
Parallel designTwo groups evaluated concurrently.
Continuous outcomesPrimary endpoint based on amount of fluid administered.
Time-defined endpointMeasurement window defined as six hours.
Statistical uncertaintyInterpretation requires estimates and precision measures.

11. Related Tutorials

Learn more about the methods used in this trial:

12. Related Calculators

13. Sources