Skip to main content
Top
Published in: Trials 1/2020

Open Access 01-12-2020 | Anakinra | Update

A randomised placebo controlled trial of anakinra for treating pustular psoriasis: statistical analysis plan for stage two of the APRICOT trial

Authors: Suzie Cro, Prakash Patel, Jonathan Barker, David A. Burden, Christopher E. M. Griffiths, Helen J. Lachmann, Nick J. Reynolds, Richard B. Warren, Francesca Capon, Catherine Smith, Victoria Cornelius

Published in: Trials | Issue 1/2020

Login to get access

Abstract

Background

Current treatment options for Palmoplantar Pustulosis (PPP), a debilitating chronic skin disease which affects the hands and feet, are limited. The Anakinra for Pustular psoriasis: Response in a Controlled Trial (APRICOT) aims to determine the efficacy of anakinra in the treatment of PPP. This article describes the statistical analysis plan for the final analysis of this two-staged trial, which was determined prior to unblinding and database lock. This is an update to the published protocol and stage one analysis plan.

Methods

APRICOT is a randomised, double-blind, placebo-controlled trial of anakinra versus placebo, with two stages and an adaptive element. Stage one compared treatment arms to ensure proof-of-concept and determined the primary outcome for stage two of the trial. The primary outcome was selected to be the change in Palmoplantar Pustulosis Psoriasis Area and Severity Index (PPPASI) at 8 weeks. Secondary outcomes include other investigator-assessed efficacy measures of disease severity, participant-reported measures of efficacy and safety measures. This manuscript describes in detail the outcomes, sample size, general analysis principles, the pre-specified statistical analysis plan for each of the outcomes, the handling of missing outcome data and the planned sensitivity and supplementary analyses for the second stage of the APRICOT trial.

Discussion

This statistical analysis plan was developed in compliance with international trial guidelines and is published to increase transparency of the trial analysis. The results of the trial analysis will indicate whether anakinra has a role in the treatment of PPP.

Trial registration

ISCRTN, ISCRTN13127147. Registered on 1 August 2016. EudraCT Number 2015-003600-23. Registered on 1 April 2016.
Appendix
Available only for authorised users
Literature
1.
go back to reference Marsland AM, Chalmers RJ, Hollis S, Leonardi-Bee J, Griffiths CE. Interventions for chronic palmoplantar pustulosis. Cochrane Database Syst Rev. 2006;25(1):Cd001433. Marsland AM, Chalmers RJ, Hollis S, Leonardi-Bee J, Griffiths CE. Interventions for chronic palmoplantar pustulosis. Cochrane Database Syst Rev. 2006;25(1):Cd001433.
2.
go back to reference Li M, Han J, Lu Z, Li H, Zhu K, Cheng R, et al. Prevalent and rare mutations in IL-36RN gene in Chinese patients with generalized pustular psoriasis and psoriasis vulgaris. J Invest Dermatol. 2013;133(11):2637–9.CrossRef Li M, Han J, Lu Z, Li H, Zhu K, Cheng R, et al. Prevalent and rare mutations in IL-36RN gene in Chinese patients with generalized pustular psoriasis and psoriasis vulgaris. J Invest Dermatol. 2013;133(11):2637–9.CrossRef
3.
go back to reference Onoufriadis A, Simpson MA, Pink AE, Di Meglio P, Smith CH, Pullabhatla V, et al. Mutations in IL36RN/IL1F5 are associated with the severe episodic inflammatory skin disease known as generalized pustular psoriasis. Am J Hum Genet. 2011;89(3):432–7.CrossRef Onoufriadis A, Simpson MA, Pink AE, Di Meglio P, Smith CH, Pullabhatla V, et al. Mutations in IL36RN/IL1F5 are associated with the severe episodic inflammatory skin disease known as generalized pustular psoriasis. Am J Hum Genet. 2011;89(3):432–7.CrossRef
4.
go back to reference Marrakchi S, Guigue P, Renshaw BR, Puel A, Pei XY, Fraitag S, et al. Interleukin-36-receptor antagonist deficiency and generalized pustular psoriasis. N Engl J Med. 2011;365(7):620–8.CrossRef Marrakchi S, Guigue P, Renshaw BR, Puel A, Pei XY, Fraitag S, et al. Interleukin-36-receptor antagonist deficiency and generalized pustular psoriasis. N Engl J Med. 2011;365(7):620–8.CrossRef
5.
go back to reference Cornelius V, Wilson R, Cro S, Barker J, Burden D, Griffiths CEM, et al. A small population, randomised, placebo-controlled trial to determine the efficacy of anakinra in the treatment of pustular psoriasis: study protocol for the APRICOT trial. Trials. 2018;19(1):465.CrossRef Cornelius V, Wilson R, Cro S, Barker J, Burden D, Griffiths CEM, et al. A small population, randomised, placebo-controlled trial to determine the efficacy of anakinra in the treatment of pustular psoriasis: study protocol for the APRICOT trial. Trials. 2018;19(1):465.CrossRef
6.
go back to reference Cro S, Smith C, Wilson R, Cornelius V. Treatment of pustular psoriasis with anakinra: a statistical analysis plan for stage 1 of an adaptive two-staged randomised placebo-controlled trial. Trials. 2018;19(1):534.CrossRef Cro S, Smith C, Wilson R, Cornelius V. Treatment of pustular psoriasis with anakinra: a statistical analysis plan for stage 1 of an adaptive two-staged randomised placebo-controlled trial. Trials. 2018;19(1):534.CrossRef
7.
go back to reference Lassus A, Geiger JM. Acitretin and etretinate in the treatment of palmoplantar pustulosis: a double-blind comparative trial. Br J Dermatol. 1988;119(6):755–9.CrossRef Lassus A, Geiger JM. Acitretin and etretinate in the treatment of palmoplantar pustulosis: a double-blind comparative trial. Br J Dermatol. 1988;119(6):755–9.CrossRef
8.
go back to reference Kahan BC, Morris TP. Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis. BMJ. 2012;345:e5840.CrossRef Kahan BC, Morris TP. Reporting and analysis of trials using stratified randomisation in leading medical journals: review and reanalysis. BMJ. 2012;345:e5840.CrossRef
9.
go back to reference Kahan BC, Morris TP. Analysis of multicentre trials with continuous outcomes: When and how should we account for centre effects? Stat Med. 2013;32(7):1136–49.CrossRef Kahan BC, Morris TP. Analysis of multicentre trials with continuous outcomes: When and how should we account for centre effects? Stat Med. 2013;32(7):1136–49.CrossRef
10.
go back to reference Senn SJ. Covariate imbalance and random allocation in clinical trials. Stat Med. 1989;8(4):467–75.CrossRef Senn SJ. Covariate imbalance and random allocation in clinical trials. Stat Med. 1989;8(4):467–75.CrossRef
11.
go back to reference Moher D, Schulz KF, Altman DG. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials. Lancet. 2001;357(9263):1191–4.CrossRef Moher D, Schulz KF, Altman DG. The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials. Lancet. 2001;357(9263):1191–4.CrossRef
12.
go back to reference European Medicines Agency. Guideline on adjustment for baseline covariates in clinical trials. London: 2015. EMA/CHMP/295050/2013. European Medicines Agency. Guideline on adjustment for baseline covariates in clinical trials. London: 2015. EMA/CHMP/295050/2013.
13.
go back to reference Pickering RM, Weatherall M. The analysis of continuous outcomes in multi-centre trials with small centre sizes. Stat Med. 2007;26(30):5445–56.CrossRef Pickering RM, Weatherall M. The analysis of continuous outcomes in multi-centre trials with small centre sizes. Stat Med. 2007;26(30):5445–56.CrossRef
14.
go back to reference Carpenter J, Kenward MG. Missing data in randomised controlled trials - a practical guide. Birmingham: National Institute for Health Research; 2007. Carpenter J, Kenward MG. Missing data in randomised controlled trials - a practical guide. Birmingham: National Institute for Health Research; 2007.
15.
go back to reference White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011;30(4):377–99.CrossRef White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med. 2011;30(4):377–99.CrossRef
16.
go back to reference Hardt J, Herke M, Leonhart R. Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research. BMC Med Res Methodol. 2012;12(1):184.CrossRef Hardt J, Herke M, Leonhart R. Auxiliary variables in multiple imputation in regression with missing X: a warning against including too many in small sample research. BMC Med Res Methodol. 2012;12(1):184.CrossRef
17.
go back to reference Rabe-hesketh S, Skrondal A. Multilevel and longitudinal modeling using stata. Third ed. College Station: Stata Press; 2012. Rabe-hesketh S, Skrondal A. Multilevel and longitudinal modeling using stata. Third ed. College Station: Stata Press; 2012.
18.
go back to reference Zink RC, Wolfinger RD, Mann G. Summarizing the incidence of adverse events using volcano plots and time intervals. Clin Trials. 2013;10(3):398–406.CrossRef Zink RC, Wolfinger RD, Mann G. Summarizing the incidence of adverse events using volcano plots and time intervals. Clin Trials. 2013;10(3):398–406.CrossRef
19.
go back to reference White IR, Thompson SG. Adjusting for partially missing baseline measurements in randomized trials. Stat Med. 2005;24(7):993–1007.CrossRef White IR, Thompson SG. Adjusting for partially missing baseline measurements in randomized trials. Stat Med. 2005;24(7):993–1007.CrossRef
20.
go back to reference Sullivan TR, White IR, Salter AB, Ryan P, Lee KJ. Should multiple imputation be the method of choice for handling missing data in randomized trials? Stat Methods Med Res. 2018;27(9):2610–26.CrossRef Sullivan TR, White IR, Salter AB, Ryan P, Lee KJ. Should multiple imputation be the method of choice for handling missing data in randomized trials? Stat Methods Med Res. 2018;27(9):2610–26.CrossRef
21.
go back to reference Gamble C, Krishan A, Stocken D, lewis s, Juszczak e, Doré c, et al. Guidelines for the content of statistical analysis plans in clinical trials. JAMA. 2017;318(23):2337–43.CrossRef Gamble C, Krishan A, Stocken D, lewis s, Juszczak e, Doré c, et al. Guidelines for the content of statistical analysis plans in clinical trials. JAMA. 2017;318(23):2337–43.CrossRef
Metadata
Title
A randomised placebo controlled trial of anakinra for treating pustular psoriasis: statistical analysis plan for stage two of the APRICOT trial
Authors
Suzie Cro
Prakash Patel
Jonathan Barker
David A. Burden
Christopher E. M. Griffiths
Helen J. Lachmann
Nick J. Reynolds
Richard B. Warren
Francesca Capon
Catherine Smith
Victoria Cornelius
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Trials / Issue 1/2020
Electronic ISSN: 1745-6215
DOI
https://doi.org/10.1186/s13063-020-4103-z

Other articles of this Issue 1/2020

Trials 1/2020 Go to the issue