Quantifying exertional symptoms throughout incremental CPET adds value to peak measurements across the range of COPD severity

<bold>Background:</bold> Isolated measurements of dyspnoea and leg effort at peak exercise may provide an imperfect picture of the actual symptom burden in patients with COPD. <bold>Aim:</bold> To investigate whether assessing submaximal symptom burden across progressively higher exercise intensities adds value to discrete peak symptom scores. <bold>Methods:</bold> After developing sex- and age-adjusted standards for CR 10 Borg dyspnoea and leg effort versus work rate, we used a novel AI-based software (<italic>DyVe-X</italic>) to determine the overall burden of each symptom (best centile of intensity) during incremental cycle ergometry in 354 patients (196 men) with COPD of varied severity. <bold>Results:</bold> Leg effort was the main limiting symptom in 158/354 patients (44.6%); 88 of them (55.7%) showed “severe-to-very severe” (>75th centile) submaximal dyspnoea. Conversely, dyspnoea was the main limiting symptom in 99/354 patients (28.0%): 45 of them (64.18%) showed “severe-to-very severe” submaximal leg effort (<italic>p</italic><0.01) (<bold>upper panel</bold>). Moreover, peak leg effort and dyspnoea typically underestimated their individual submaximal burden (<bold>lower panel</bold>) across GOLD stages (<italic>p</italic><0.01). <fig><object-id>erj;64/suppl_68/OA1955/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Conclusions:</bold> Peak scores of dyspnoea and leg effort underestimated the severity of each symptom as measured throughout incremental exercise in COPD. A novel AI-based approach better exposed the actual extension of the overall symptom burden experienced by these patients.

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Publication Details

Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.oa1955
Primary Topic
Chronic Obstructive Pulmonary Disease (COPD) Research
Type
article
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article

Quantifying exertional symptoms throughout incremental CPET adds value to peak measurements across the range of COPD severity

Danilo Cortozi Berton, Sophia Wang, Matthew D. James, Nicolle Jasmin Domnik et al.
Chronic Obstructive Pulmonary Disease (COPD) Research
article

Quantifying exertional symptoms throughout incremental CPET adds value to peak measurements across the range of COPD severity

Danilo Cortozi Berton, Sophia Wang, Matthew D. James, Nicolle Jasmin Domnik, Denis E. O’Donnell, J. Alberto Neder, Devin B. Phillips, Igor Neder‐Serafini, Sandra G. Vincent, Abed Hijleh
article en

Abstract

<bold>Background:</bold> Isolated measurements of dyspnoea and leg effort at peak exercise may provide an imperfect picture of the actual symptom burden in patients with COPD. <bold>Aim:</bold> To investigate whether assessing submaximal symptom burden across progressively higher exercise intensities adds value to discrete peak symptom scores. <bold>Methods:</bold> After developing sex- and age-adjusted standards for CR 10 Borg dyspnoea and leg effort versus work rate, we used a novel AI-based software (<italic>DyVe-X</italic>) to determine the overall burden of each symptom (best centile of intensity) during incremental cycle ergometry in 354 patients (196 men) with COPD of varied severity. <bold>Results:</bold> Leg effort was the main limiting symptom in 158/354 patients (44.6%); 88 of them (55.7%) showed “severe-to-very severe” (>75th centile) submaximal dyspnoea. Conversely, dyspnoea was the main limiting symptom in 99/354 patients (28.0%): 45 of them (64.18%) showed “severe-to-very severe” submaximal leg effort (<italic>p</italic><0.01) (<bold>upper panel</bold>). Moreover, peak leg effort and dyspnoea typically underestimated their individual submaximal burden (<bold>lower panel</bold>) across GOLD stages (<italic>p</italic><0.01). <fig><object-id>erj;64/suppl_68/OA1955/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Conclusions:</bold> Peak scores of dyspnoea and leg effort underestimated the severity of each symptom as measured throughout incremental exercise in COPD. A novel AI-based approach better exposed the actual extension of the overall symptom burden experienced by these patients.

Universidade Federal do Rio Grande do Sul (BR), York University (CA), Queen's University (CA)
Openalex Percentile: Top 63%
Chronic Obstructive Pulmonary Disease (COPD) Research
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