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Bronchiectasis
Phase 3
Randomized
NCT00415350

BAT: Complete Statistical Analysis of Azithromycin in Bronchiectasis

An independent statistical review of the randomized phase 3 BAT trial evaluating prolonged azithromycin treatment versus placebo in patients with bronchiectasis.

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

72Enrollment
2Arms
3Phase
1 yearPrimary timeframe
FeatureBAT
ConditionBronchiectasis; Inflammation
DesignRandomized, parallel, quadruple masked
Primary purposeTreatment
InterventionsAzithromycin and placebo
SponsorW.G.Boersma
StatusCompleted

2. Clinical Question

Population

Patients with bronchiectasis.

Intervention

Prolonged azithromycin treatment.

Comparator

Placebo.

Primary question

Does prolonged antibiotic treatment with AZM reduce bacterial exacerbations and improve lung function parameters?

3. Trial Design

The BAT study was a phase 3 randomized, parallel-group, quadruple-masked treatment trial with 72 participants and two treatment arms. The registry lists azithromycin and placebo as the study interventions.

Design elementDescription
AllocationRandomized
MaskingQuadruple
ModelParallel
Enrollment72
Start date2008-04
Primary completion date2009-12

4. Endpoints

EndpointTime frame
Does prolonged antibiotic treatment with AZM reduce the number of bacterial exacerbations in patients with bronchiectasis?1 year
Does treatment with AZM increase lung function parameters (Δ FEV1, Δ FVC )?1 year

5. Planned Analysis

The ClinicalTrials.gov record identifies the primary questions and measurement timeframe but does not report posted statistical analyses or numerical outcome results.

For an endpoint evaluating the number of bacterial exacerbations, an analysis would typically compare event frequency between randomized groups using a method appropriate for count outcomes, such as a rate-based model. For lung function changes such as Δ FEV1 and Δ FVC, statistical analysis would typically compare changes from baseline between groups using methods appropriate for continuous outcomes.

No formal statistical analyses were posted to ClinicalTrials.gov.

6. Statistical Methodology

Randomization

Randomization creates comparable treatment groups on average and provides the basis for estimating treatment effects without relying on measured baseline differences.

Masked treatment comparison

Quadruple masking reduces the potential for expectations about treatment assignment to influence treatment delivery, assessment, or interpretation.

Count outcomes and lung function measures

The trial contains two different endpoint types: bacterial exacerbation frequency and continuous lung function parameters. These require different statistical frameworks because they answer different questions.

7. Statistical Methods Explained

Why does randomization matter?

Randomization is intended to balance known and unknown factors between groups, allowing differences after treatment assignment to be attributed to the randomized comparison.

Why analyze exacerbations differently from FEV1?

Exacerbations represent clinical events occurring over follow-up, while FEV1 and FVC are numerical measurements of lung function. Event counts and continuous measurements generally require different statistical approaches.

What does a one-year endpoint mean?

A one-year timeframe defines when outcomes are evaluated. It does not by itself describe the size or direction of any treatment effect.

Why is masking important?

Masking helps limit bias when participants, investigators, or assessors may otherwise be influenced by knowledge of treatment assignment.

8. Limitations

9. Why This Trial Matters Statistically

ConceptApplication
Randomized trial designComparison of azithromycin versus placebo
MaskingQuadruple-masked treatment evaluation
Endpoint selectionClinical exacerbations and lung function measures
Different outcome typesEvent-based and continuous outcomes require different analyses

10. Sources