Article Text

Download PDFPDF

Research paper
Using ‘dead or dependent’ as an outcome measure in clinical trials in Parkinson's disease
  1. David McGhee1,
  2. Alexander Parker1,
  3. Shona Fielding1,
  4. John Zajicek2,
  5. Carl Counsell1
  1. 1Division of Applied Health Sciences, University of Aberdeen, Aberdeen, Scotland, UK
  2. 2Clinical Neurology Research Group, University of Plymouth, Plymouth, Derriford, UK
  1. Correspondence to Dr C Counsell, Division of Applied Health Sciences, University of Aberdeen, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK; carl.counsell{at}abdn.ac.uk

Abstract

Background Simple, robust, sensitive and clinically meaningful outcome measures are required for neuroprotective trials in Parkinson's disease (PD). We explored the feasibility of a composite binary outcome measure, ‘dead or dependent’, in such trials using data from a prospective follow-up study of an incident cohort of PD patients.

Methods Two hundred incident patients had an annual follow-up, including assessment of the Hoehn-Yahr stage (H-Y) and Schwab and England Activities of Daily Living Scale (S&E). Annual scores were converted into binary variables (H-Y <3 vs H-Y ≥3, and S&E ≥80% vs S&E <80%). A new outcome of ‘dead or dependent’ was also created, with dependence in activities of daily living defined as S&E <80%. Using these data, sample sizes were calculated for a hypothetical three-year randomised trial in which the trial outcome was defined by a binary clinical variable, all-cause mortality, or PD-related mortality.

Results At 3 years, 18.0% of patients were dead and 38.4% were dead or dependent. At 80% power, large sample sizes were required if PD-related mortality (n=1938 per study arm) or all-cause mortality (n=734) were used as the outcome, even for large treatment effects (30% reduction in relative risk). The new outcome of ‘death or dependency’ required the smallest sample sizes of all the outcome measures (n=277 for 30% reduction in relative risk, 627 for a 20% reduction).

Conclusions ‘Death or dependency’ is a feasible and potentially useful outcome measure in PD trials of neuroprotective agents, but further work is required to validate its use and define dependency.

  • PARKINSON'S DISEASE
  • EVIDENCE-BASED NEUROLOGY
  • RANDOMISED TRIALS

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/

Statistics from Altmetric.com

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.