| Literature DB >> 30593883 |
Christine A Sorkness1, Tonya S King2, Anne-Marie Dyer2, Vernon M Chinchilli2, David T Mauger2, Jerry A Krishnan3, Kathryn Blake4, Mario Castro5, Ronina Covar6, Elliot Israel7, Monica Kraft8, Jason E Lang9, Njira Lugogo10, Stephen P Peters11, Michael E Wechsler6, Sally E Wenzel12, Stephen C Lazarus13.
Abstract
Precision medicine is expected to impact the care of people with asthma, given its high disease prevalence, heterogeneity of pathophysiologic mechanisms, and consequent clinical phenotypes. A novel phenotype-stratified clinical trial conducted by the NHLBI AsthmaNet Consortium, titled Steroids in Eosinophil Negative Asthma (SIENA), was a randomized, multicenter, clinical trial that prospectively stratified individuals according to their baseline level of sputum inflammation during a screening period. Two phenotypic strata were assigned based on an a priori defined extent of sputum eosinophilia (Eos Low versus Eos High). This article describes: the scientific premise for the trial design, including assumptions used for power calculations; modifications to the analysis plan implemented after the trial started due to a higher than expected prevalence of one phenotypic stratum which impacted the ability to accrue sufficient subjects within the planned budget and study period; investigator alternatives to address the strata imbalance weighing scientific impact and study feasibility; and the final modified SIENA study design and analysis plan. SIENA was successfully completed in a manner that maintained meaningful outcomes. We conclude with recommendations for incorporation of pre-specified contingency plans into phenotype-directed protocols, to address the potential for differences in observed compared to estimated prevalence of different phenotypes in a study population. These approaches can be applied to precision medicine trials for the future.Entities:
Keywords: Biomarker-stratified; Induced sputum eosinophilia; Multicenter clinical trial; Participant recruitment; Phenotype-stratified; Precision medicine; Study design
Year: 2018 PMID: 30593883 PMCID: PMC6425934 DOI: 10.1016/j.cct.2018.12.012
Source DB: PubMed Journal: Contemp Clin Trials ISSN: 1551-7144 Impact factor: 2.226