Inaccuracy of Estimating Peak Work Rate from Six-Minute Walk Distance in Patients with COPD

  • M.J.H. Sillen*
  • , J.H. Vercoulen
  • , A.J. van 't Hul
  • , P.H.C. Klijn
  • , E.F.M. Wouters
  • , D. van Ranst
  • , J.B. Peters
  • , A.R.J. van Keimpema
  • , F.M.E. Franssen
  • , H.J.A.M. Otten
  • , J. Molema
  • , J.J. Jansen
  • , M.A. Spruit
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Abstract Introduction. The cardiopulmonary exercise test (CPET) and the 6-minute walk test (6MWT) are used to prescribe the appropriate training load for cycling and walking exercise in patients with chronic obstructive pulmonary disease (COPD). The primary aims were: (i) to compare estimated peak work rate (Wpeakestimated) derived from six existing Wpeak regression equations with actual peak work rate (Wpeakactual); and (ii) to derive a new Wpeak regression equation using six-minute walk distance (6MWD) and conventional outcome measures in COPD patients. Methods. In 2906 patients with COPD, existing Wpeak regression equations were used to estimate Wpeak using 6MWD and a new equation was derived after a stepwise multiple regression analysis. Results. The 6 existing Wpeak regression equations were inaccurate to predict Wpeakactual in 82% of the COPD patients. The new Wpeak regression equation differed less between Wpeakestimated and Wpeakactual compared to existing models. Still, in 74% of COPD patients Wpeakestimated and Wpeakactual differed more than (+/-) 5 watts. Conclusion. In conclusion, estimating peak work load from 6MWD in COPD is inaccurate. We recommend assessment of Wpeak using CPET during pre-rehabilitation assessment in addition to 6MWT.
Original languageEnglish
Pages (from-to)281-288
Number of pages8
JournalCopd-Journal of Chronic Obstructive Pulmonary Disease
Volume9
Issue number3
DOIs
Publication statusPublished - 1 Jan 2012

Fingerprint

Dive into the research topics of 'Inaccuracy of Estimating Peak Work Rate from Six-Minute Walk Distance in Patients with COPD'. Together they form a unique fingerprint.

Cite this