Designing bronchial biopsy studies.
Bronchial biopsy provides valuable information about the inflammatory processes in lung tissue, but optimal results are only achieved if the design of intervention studies is sufficiently rigorous. The parallel-group design has merit, but the cross-over design is statistically superior, providing the wash-out period is effective. Heterogeneity of contributing pathologies in asthma patients results in large inter-patient variability which must be controlled for, for example by using strict inclusion criteria, which should ideally relate to the specific inflammatory marker being studied. The inclusion of a placebo group helps to quantify sample variability. The study must have sufficient statistical power to detect inter-group differences for each variable; appropriate adjustments should be made when multiple tests are used. Studies with larger patient numbers are best performed using a multi-centre design, with one centre analysing all tissue samples to reduce variability. Study duration depends on the type of investigation, but should ideally be short. Longer studies are necessary to evaluate chronic changes such as tissue remodelling. Changes in clinical status and cellular events may follow different time courses after intervention. Biopsy measurements are less reproducible than physiological tests, and diurnal variation in the number and function of inflammatory cells can further complicate measurement. The timing of clinical trial assessments needs to allow for these idiosyncrasies. Finally, a balance must be maintained between the risk, albeit small, and the benefit of performing bronchial biopsies.
Poulter
L W
LW
Department of Immunology, Royal Free Hospital, London, UK. lenpee@btclick.uk
Burke
C M
CM
Jarjour
N N
NN
Pyke
S D
SD
D001706:Biopsy; D001980:Bronchi / Q000473:pathology*; D001982:Bronchial Diseases / Q000473:pathology* / Q000601:surgery; D002986:Clinical Trials as Topic / Q000379:methods*; D018592:Cross-Over Studies; D006801:Humans; D018579:Patient Selection; D015203:Reproducibility of Results; D012107:Research Design / Q000592:standards*