Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Despite recent improvements in therapy, chronic left heart failure (HF) frequently requires hospitalization or is lethal. [1][2][3] We postulated that management of such patients could be improved by adding more sensitive predictors, further refi ning well-known predictors, or by combining predictors. Currently, in such patients, gas exchange measurements during incremental cardiopulmonary exercise testing (CPET) such as peak oxygen uptake (peak o 2 ) at standard conditions of 0ºC, 760 mm Hg, dry (STPD); anaerobic threshold (AT); peak oxygen pulse; lowest ratio of minute ventilation ( e) at body temperature, ambient atmospheric pressure, saturated with water vapor to minute CO 2 output ( co 2 ) STPD; e -vs-co 2 slope; oscillatory breathing (OB) pattern [3][4][5][6][7][8][9][10] ; and the slope of o 2 to log e (oxygen uptake effi ciency slope [OUES]) [11][12][13][14][15][16][17][18][19][20][21] have been found to be useful in predicting mortality and morbidity and guiding therapy. 3-10 However, the full exercise response pattern of oxygen uptake effi ciency (OUE) ( o 2 / e , mL/L) and specifi cally the measurement of its highest average plateau (OUEP) (mL/L) have not been evaluated.As the CPET core laboratory for two St. Jude Medical multicenter studies 3,22,23 involving 508 patientsBackground: The responses of oxygen uptake effi ciency (ie, oxygen uptake/ventilation 5 O 2 / E ) and its highest plateau (OUEP) during incremental cardiopulmonary exercise testing (CPET) in patients with chronic left heart failure (HF) have not been previously reported. We planned to test the hypothesis that OUEP during CPET is the best single predictor of early death in HF. Methods: We evaluated OUEP, slope of O 2 to log( E) ( oxygen uptake effi ciency slope ) , oscillatory breathing, and all usual resting and CPET measurements in 508 patients with low-ejectionfraction ( , 35%) HF. Each had further evaluations at other sites, including cardiac catheterization. Outcomes were 6-month all-reason mortality and morbidity (death or . 24 h cardiac hospitalization). Statistical analyses included area under curve of receiver operating characteristics, ORs, univariate and multivariate Cox regression, and Kaplan-Meier plots. Results: OUEP, which requires only moderate exercise, was often reduced in patients with HF. A low % predicted OUEP was the single best predictor of mortality ( P , .0001), with an OR of 13.0 ( P , .001). When combined with oscillatory breathing, the OR increased to 56.3, superior to all other resting or exercise parameters or combinations of parameters. Other statistical analyses and morbidity analysis confi rmed those fi ndings. Conclusions: OUEP is often reduced in patients with HF. Low % predicted OUEP ( , 65% predicted) is the single best predictor of early death, better than any other CPET or other cardiovascular measurement. Paired with oscillatory breathing, it is even more powerful.
Despite recent improvements in therapy, chronic left heart failure (HF) frequently requires hospitalization or is lethal. [1][2][3] We postulated that management of such patients could be improved by adding more sensitive predictors, further refi ning well-known predictors, or by combining predictors. Currently, in such patients, gas exchange measurements during incremental cardiopulmonary exercise testing (CPET) such as peak oxygen uptake (peak o 2 ) at standard conditions of 0ºC, 760 mm Hg, dry (STPD); anaerobic threshold (AT); peak oxygen pulse; lowest ratio of minute ventilation ( e) at body temperature, ambient atmospheric pressure, saturated with water vapor to minute CO 2 output ( co 2 ) STPD; e -vs-co 2 slope; oscillatory breathing (OB) pattern [3][4][5][6][7][8][9][10] ; and the slope of o 2 to log e (oxygen uptake effi ciency slope [OUES]) [11][12][13][14][15][16][17][18][19][20][21] have been found to be useful in predicting mortality and morbidity and guiding therapy. 3-10 However, the full exercise response pattern of oxygen uptake effi ciency (OUE) ( o 2 / e , mL/L) and specifi cally the measurement of its highest average plateau (OUEP) (mL/L) have not been evaluated.As the CPET core laboratory for two St. Jude Medical multicenter studies 3,22,23 involving 508 patientsBackground: The responses of oxygen uptake effi ciency (ie, oxygen uptake/ventilation 5 O 2 / E ) and its highest plateau (OUEP) during incremental cardiopulmonary exercise testing (CPET) in patients with chronic left heart failure (HF) have not been previously reported. We planned to test the hypothesis that OUEP during CPET is the best single predictor of early death in HF. Methods: We evaluated OUEP, slope of O 2 to log( E) ( oxygen uptake effi ciency slope ) , oscillatory breathing, and all usual resting and CPET measurements in 508 patients with low-ejectionfraction ( , 35%) HF. Each had further evaluations at other sites, including cardiac catheterization. Outcomes were 6-month all-reason mortality and morbidity (death or . 24 h cardiac hospitalization). Statistical analyses included area under curve of receiver operating characteristics, ORs, univariate and multivariate Cox regression, and Kaplan-Meier plots. Results: OUEP, which requires only moderate exercise, was often reduced in patients with HF. A low % predicted OUEP was the single best predictor of mortality ( P , .0001), with an OR of 13.0 ( P , .001). When combined with oscillatory breathing, the OR increased to 56.3, superior to all other resting or exercise parameters or combinations of parameters. Other statistical analyses and morbidity analysis confi rmed those fi ndings. Conclusions: OUEP is often reduced in patients with HF. Low % predicted OUEP ( , 65% predicted) is the single best predictor of early death, better than any other CPET or other cardiovascular measurement. Paired with oscillatory breathing, it is even more powerful.
Rationale We sought to determine if radiographic pneumoconiosis predicts abnormal gas exchange during exercise in coal mine workers with preserved resting lung function. Methods We analyzed data from former coal miners seen between 2006 and 2014 in a single clinic specializing in black lung evaluations. We limited the analysis to those with normal resting spirometry and an A‐a gradient at peak exercise ≥10 mmHg. We used multivariable logistic regression to estimate predictors of A‐a gradient widened to >150% of the reference value. We focused on chest radiographs consistent with pneumoconiosis, taking into account higher silica exposure mining activities and years underground, and adjusting for cigarette smoking, obesity, and coronary artery disease. Results Of 5507 miners, we analyzed data for 742 subjects with normal spirometry and all key clinical variables available, of whom 372 (50.1%) had radiographic evidence of pneumoconiosis. All but 21 had small opacity profusion of less than 2/1. The median A‐a gradient at peak exercise was 108% of reference value (interquartile range, 81%–141%). In the multivariable analysis, radiographic pneumoconiosis was associated with increased odds of widened A‐a gradient (odds ratio [OR], 2.47; 95% confidence interval [CI], 1.7–3.7). Limited to 660 subjects with normal diffusing capacity for carbon monoxide, the odds were similarly increased (OR, 3.20; 95% CI, 1.5–3.6). Discussion Among coal miners with preserved resting lung function, radiographic evidence of early pneumoconiosis more than doubled the odds of abnormal exercise physiology. Impairment in pneumoconiosis occurs in early disease and may only be evident on exercise testing.
Peak exercise performance in healthy man is limited not only by pulmonary or skeletal muscle function but also by cardiac function. Thus, abnormalities in cardiac function will have a major impact on exercise performance. Many cardiac diseases affect exercise performance and indeed for some cardiac conditions such as atherosclerotic heart disease, exercise testing is frequently used not only to measure functional capacity but also to make a diagnosis of heart disease, evaluate the efficacy of treatment, and predict prognosis. Early in the course of cardiac diseases, exercise performance will be minimally affected but with disease progression impairment in exercise capacity will become apparent. Ejection fraction, that is, the percent of blood volume ejected with each cardiac cycle is often used as a measure of cardiac performance but frequently there is a dissociation between the ejection fraction and exercise capacity in patients with heart disease. How abnormalities in cardiac function impacts the muscles, vasculature, and lungs to impact exercise performance will here be reviewed. The focus of this work will be on patients with systolic heart failure as the incidence and prevalence of heart failure is reaching epidemic proportions and heart failure is the end result of many other chronic cardiac diseases. The prognostic role of exercise and benefits of exercise training will also be discussed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.