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

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...

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Main Authors: Nathan J Stevenson, Geraldine B Boylan, Lena Hellström-Westas, Sampsa Vanhatalo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0165693&type=printable
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author Nathan J Stevenson
Geraldine B Boylan
Lena Hellström-Westas
Sampsa Vanhatalo
author_facet Nathan J Stevenson
Geraldine B Boylan
Lena Hellström-Westas
Sampsa Vanhatalo
author_sort Nathan J Stevenson
collection DOAJ
description 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<0.001). RCTs that compared the trial AED with positive controls required sample sizes with a median fold increase of 3.2 (IQR: 1.9-11.9; p<0.001). Delays in AED administration from seizure onset also increased the required sample size 2.1 fold (IQR: 1.7-2.9; p<0.001). Subgroup analysis showed that RCTs in neonates treated with hypothermia required a median fold increase in sample size of 2.6 (IQR: 2.4-3.0) compared to trials in normothermic neonates (p<0.001). These results show that RCT design has a profound influence on the required sample size. Trials that use a control group, appropriate outcome measure, and control for differences in Td between groups in analysis will be valid and minimise sample size.
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spelling doaj-art-4779aa37789845449084de2a6edb4d642025-08-20T02:31:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011111e016569310.1371/journal.pone.0165693Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.Nathan J StevensonGeraldine B BoylanLena Hellström-WestasSampsa VanhataloNeonatal 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<0.001). RCTs that compared the trial AED with positive controls required sample sizes with a median fold increase of 3.2 (IQR: 1.9-11.9; p<0.001). Delays in AED administration from seizure onset also increased the required sample size 2.1 fold (IQR: 1.7-2.9; p<0.001). Subgroup analysis showed that RCTs in neonates treated with hypothermia required a median fold increase in sample size of 2.6 (IQR: 2.4-3.0) compared to trials in normothermic neonates (p<0.001). These results show that RCT design has a profound influence on the required sample size. Trials that use a control group, appropriate outcome measure, and control for differences in Td between groups in analysis will be valid and minimise sample size.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0165693&type=printable
spellingShingle Nathan J Stevenson
Geraldine B Boylan
Lena Hellström-Westas
Sampsa Vanhatalo
Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
PLoS ONE
title Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
title_full Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
title_fullStr Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
title_full_unstemmed Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
title_short Treatment Trials for Neonatal Seizures: The Effect of Design on Sample Size.
title_sort treatment trials for neonatal seizures the effect of design on sample size
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0165693&type=printable
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AT sampsavanhatalo treatmenttrialsforneonatalseizurestheeffectofdesignonsamplesize