Prediction of peak oxygen uptake from ratings of perceived exertion during a sub-maximal cardiopulmonary exercise test in patients with chronic obstructive pulmonary disease

Coquart, Jérémy; Eston, Roger G.; Lemaître, Frédéric; Bart, F.; Tourny, Claire; Grosbois, Jean-Marie

doi:10.1007/s00421-014-3023-6

Cited by 7 publications

(8 citation statements)

References 26 publications

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“…One of our major learnings is that the single and multicentre approach identified very similar predictors. Our prediction algorithm identified FEV 1 (flow), DLCO (gas-exchange), FVC and VA (volume), FEF 50 (small airways) and demographic data, which agrees well with previous publications [14][15][16][17][18][19][20][21][22][23][24][25]27,28]. One study [26] criticised the use of baseline lung function to predict VO 2MAX However, this study selected six prediction formulas from three papers [14,15,22] of which four included transplant candidates and one very severe COPD patients while the validation was done in 60 COPD-patients equally divided into GOLD 2, 3 and 4.…”

Section: Discussionsupporting

confidence: 90%

“…This is exemplified in Figure 3 where five patients have a measured W MAX of 100 W in the standard test. A large number of prediction formulas for W MAX or VO 2MAX in COPD patients have been presented [14][15][16][17][18][19][20][21][22][23][24][25]27,28]. Most of these have been derived from singlecentre studies with low numbers of patients, and the generalizability of these formulas to broader COPD populations and to multicentre studies can be questioned.…”

Section: Discussionmentioning

confidence: 99%

“…reduced mid-expiratory flow (FEF ) [17,20,21], impaired gas exchange measured by e.g. diffusing capacity for carbon monoxide (DLCO) [14,15,18,20,22], maximal voluntary ventilation (MVV) [18,19,21], Medical Research Council (MRC) scale [16,17], sub-maximal exercise [23,24] and demographic data such as sex, age, body-mass index (BMI) or fat-free mass [14][15][16][17]20,21,25]. However, another article concluded that predicted VO 2MAX from baseline characteristics cannot be used for patients with stable COPD [26].…”

Section: Introductionmentioning

confidence: 99%

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A new maximal bicycle test using a prediction algorithm developed from four large COPD studies

Eriksson

Radner

Peterson

et al. 2019

European Clinical Respiratory Journal

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Background: Maximum exercise workload (WMAX) is today assessed as the first part of Cardiopulmonary Exercise testing. The WMAX test exposes patients with COPD, often having cardiovascular comorbidity, to risks. Our research project was initiated with the final aim to eliminate the WMAX test and replace this test with a predicted value of WMAX, based on a prediction algorithm of WMAX derived from multicentre studies.Methods: Baseline data (WMAX, demography, lung function parameters) from 850 COPD patients from four multicentre studies were collected and standardized. A prediction algorithm was prepared using Random Forest modelling. Predicted values of WMAX were used in a new WMAX test, which used a linear increase in order to reach the predicted WMAX within 8 min. The new WMAX test was compared with the standard stepwise WMAX test in a pilot study including 15 patients with mild/moderate COPD.Results: The best prediction algorithm of WMAX included age, sex, height, weight, and six lung function parameters. FEV1 and DLCO were the most important predictors. The new WMAX test had a better correlation (R2 = 0.84) between predicted and measured WMAX than the standard WMAX test (R2 = 0.66), with slopes of 0.50 and 0.46, respectively. The results from the new WMAX test and the standard WMAX test correlated well.Conclusion: A prediction algorithm based on data from four large multicentre studies was used in a new WMAX test. The prediction algorithm provided reliable values of predicted WMAX. In comparison with the standard WMAX test, the new WMAX test provided similar overall results.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A new maximal bicycle test using a prediction algorithm developed from four large COPD studies

Eriksson

Radner

Peterson

et al. 2019

European Clinical Respiratory Journal

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“…Several studies have evaluated the use of subpeak RPE for predicting VO 2peak for participants and patients performing a graded exercise test [7, 11, 18]. The current study however cross-validated predictive applications of the Adult OMNI Cycle Scale of Perceived Exertion.…”

Section: Discussionmentioning

confidence: 90%

“…RPE have been used to predict VO 2peak in a variety of patient populations employing prediction methods using data derived from load incremented exercise tests and perceptually regulated exercise protocols [3, 7–9, 19]. This application recognizes that for most test protocols RPE increases concurrently with HR and oxygen uptake as exercise intensity increases.…”

Section: Introductionmentioning

confidence: 99%

Cross-validation of Peak Oxygen Consumption Prediction Models From OMNI Perceived Exertion

et al. 2016

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This study cross-validated statistical models for prediction of peak oxygen consumption using ratings of perceived exertion from the Adult OMNI Cycle Scale of Perceived Exertion. Seventy-four participants (men: n=36; women: n=38) completed a graded cycle exercise test. Ratings of perceived exertion for the overall body, legs, and chest/breathing were recorded each test stage and entered into previously developed 3-stage peak oxygen consumption prediction models. There were no significant differences (p>0.05) between measured and predicted peak oxygen consumption from ratings of perceived exertion for the overall body, legs, and chest/breathing within men (mean±standard deviation: 3.16±0.52 vs. 2.92±0.33 vs. 2.90±0.29 vs. 2.90±0.26 L·min−1) and women (2.17±0.29 vs. 2.02±0.22 vs. 2.03±0.19 vs. 2.01±0.19 L·min−1) participants. Previously developed statistical models for prediction of peak oxygen consumption based on subpeak OMNI ratings of perceived exertion responses were similar to measured peak oxygen consumption in a separate group of participants. These findings provide practical implications for the use of the original statistical models in standard health-fitness settings.

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Prediction of peak oxygen uptake in children using submaximal ratings of perceived exertion during treadmill exercise

et al. 2016

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PurposeThis study assessed the utility of the Children’s Effort Rating Table (CERT) and the Eston–Parfitt (EP) Scale in estimating peak oxygen uptake () in children, during cardiopulmonary exercise testing (CPET) on a treadmill.MethodsFifty healthy children (n = 21 boys; 9.4 ± 0.9 years) completed a continuous, incremental protocol until the attainment of . Oxygen uptake () was measured continuously, and ratings of perceived exertion (RPE) were estimated at the end of each exercise stage using the CERT and the EP Scale. Ratings up to- and including RPE 5 and 7, from both the CERT (CERT 5, CERT 7) and EP Scale (EP 5, EP 7), were linearly regressed against the corresponding , to both maximal RPE (CERT 10, EP 10) and terminal RPE (CERT 9, EP 9).ResultsThere were no differences between measured- and predicted from CERT 5, CERT 7, EP 5 and EP 7 when extrapolated to either CERT 9 or EP 9 (P > 0.05). Pearson’s correlations of r = 0.64–0.86 were observed between measured- and predicted , for all perceptual ranges investigated. However, only EP 7 provided a small difference when considering the standard error of estimate, suggesting that the prediction of from EP 7 would be within 10 % of measured .ConclusionsAlthough robust estimates of may be elicited using both the CERT and EP Scale during a single CPET with children, the most accurate estimates of occur when extrapolating from EP 7.

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Prediction of peak oxygen uptake from ratings of perceived exertion during a sub-maximal cardiopulmonary exercise test in patients with chronic obstructive pulmonary disease

Abstract: [Formula: see text]O2 peak can be predicted with acceptable accuracy in healthy participants and patients with COPD from the individual relationship between [Formula: see text]O2 and RPE ≤ 15.

Cited by 7 publications

References 26 publications

A new maximal bicycle test using a prediction algorithm developed from four large COPD studies

A new maximal bicycle test using a prediction algorithm developed from four large COPD studies

Cross-validation of Peak Oxygen Consumption Prediction Models From OMNI Perceived Exertion

Prediction of peak oxygen uptake in children using submaximal ratings of perceived exertion during treadmill exercise

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