title: Prediction of peak oxygen uptake in patients fulfilling the 1994 CDC criteria for chronic fatigue syndrome.
abstract: OBJECTIVE
  To establish an inexpensive, simple method of predicting peak oxygen uptake (VO2peak) in patients fulfilling the 1994 Centers for Disease Control and Prevention (CDC) criteria for chronic fatigue syndrome (CFS).
  
  
  METHODS
  A retrospective observational study.
  
  
  METHODS
  An outpatient tertiary care chronic fatigue clinic.
  
  
  METHODS
  Two hundred and forty consecutive patients fulfilling the 1994 CDC criteria for CFS.
  
  
  METHODS
  Heart rate, metabolic and ventilatory parameters were measured continuously during a maximal exercise stress test on a bicycle ergometer. Using the equation peak oxygen uptake = 13.1 x peak workload +284 (used by Mullis et al., Br J Sports Med 1999; 33: 352-56), VO2peak was predicted from the peak workload of a maximal exercise capacity test. Pearson correlation coefficient and linear regression analysis were used to establish the most accurate way to predict VO2peak.
  
  
  RESULTS
  Percentage error encountered when comparing actual measured VO2peak with predicted value was 17.3% (+/-10.0). A strong correlation between VO2peak and peak workload was observed (r= 0.89, p < 0.001). A regression analysis established the relation as VO2peak = 10.47 x peak workload +284.1, where VO2peak is given in ml/min and peak workload in W (error in prediction = 11.0+/-9.5%).
  
  
  CONCLUSIONS
  Monitoring of the peak workload during a maximal, graded bicycle ergometric test suffices to predict the VO2peak. When predicting VO2peak the used operational definition for the diagnosis of CFS could be taken into account. Compared with the equation used by Mullis et al., peak workload is multiplied by 10.47 in order to predict peak oxygen uptake in CDC-defined CFS patients.
authors.affiliation: Department of Human Physiology, Faculty of Physical Education and Physical Therapy and Chronic Fatigue Clinic, Vrije Universiteit Brussel, Belgium. Jo.Nijs@vub.ac.be
authors.forename: Jo
authors.initials: J
authors.lastname: Nijs
authors.forename: Kenny
authors.initials: K
authors.lastname: De Meirleir
mesh_terms: D000328:Adult; D005080:Exercise Test; D015673:Fatigue Syndrome, Chronic / Q000378:metabolism*; D005260:Female; D006339:Heart Rate; D006801:Humans; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010101:Oxygen Consumption; D011237:Predictive Value of Tests; D012189:Retrospective Studies