Introduction and background
The pulmonary function department of Meander Medical Centre (MMC) in Amersfoort, The Netherlands is using Wasserman?s predicted values for VO2max to interpretate the CPET. The staff noticed often patients who achieve high percentages compared to the predicted values. Since the patients who perform a test often suffer from pulmonary diseases it is quite remarkable those achieve high percentages.
Aims and objectives
Of the already existing normalvalues for VO2max in CPET, what is the best fit for the patients of MMC?
Methods
We have studied relevant literature and used data of CPET performed from 2018 to 2022 resulted in 337 patients (m=164). Based on FER cut off 70% of pred. we distinguish obstructive and non obstructive patients.
Results
Based on literature study there were 7 sets of normalvalues potential suitable for our patient population.
| Dataset | Average (SD) FER?70% | Average (SD) FER<70% |
| Wasserman | 99,0 (21,0) | 78,6 (23,3) |
| Jones 1 | 91,1 (20,8) | 75,5 (23,7) |
| Jones 2 | 94,6 (32,4) | 76,8 (34,8) |
| SHIP | 93,1 (17,6) | 74,2 (22,1) |
| FRIEND | 38,1 (10,2) | 29,0 (11,4) |
| Storer | 107,5 (18,0) | 129,9 (60,0) |
| Lowlands | 74,2 (16,7) | 62,6 (18,6) |
Conclusion
There are three suitable normalvalue sets for VO2max in CPET including the Wasserman set. SHIP and Lowlands are quite representative as well. All of these datasets have restrictions. The population of the Wasserman dataset is poorly described and outdated. However the correction of bodyweight makes it useful. SHIP and Lowlands are more fitted for the Dutch population and better descripted in the literature.