Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size

Nathan J Stevenson, Geraldine B Boylan, Lena Hellström-Westas and Sampsa Vanhatalo

PLOS ONE, 2016, vol. 11, issue 11, 1-14

Abstract: Neonatal seizures are common in the neonatal intensive care unit. Clinicians treat these seizures with several anti-epileptic drugs (AEDs) to reduce seizures in a neonate. Current AEDs exhibit sub-optimal efficacy and several randomized control trials (RCT) of novel AEDs are planned. The aim of this study was to measure the influence of trial design on the required sample size of a RCT. We used seizure time courses from 41 term neonates with hypoxic ischaemic encephalopathy to build seizure treatment trial simulations. We used five outcome measures, three AED protocols, eight treatment delays from seizure onset (Td) and four levels of trial AED efficacy to simulate different RCTs. We performed power calculations for each RCT design and analysed the resultant sample size. We also assessed the rate of false positives, or placebo effect, in typical uncontrolled studies. We found that the false positive rate ranged from 5 to 85% of patients depending on RCT design. For controlled trials, the choice of outcome measure had the largest effect on sample size with median differences of 30.7 fold (IQR: 13.7–40.0) across a range of AED protocols, Td and trial AED efficacy (p

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0165693

DOI: 10.1371/journal.pone.0165693

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