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Rodrigues A, Shingai K, Gómez CA, Rassam P, Rozenberg D, Goligher E, Brochard L, Roblyer D, Reid WD. Continuous measurements of respiratory muscle blood flow and oxygen consumption using noninvasive frequency-domain near-infrared spectroscopy and diffuse correlation spectroscopy. J Appl Physiol (1985) 2024; 137:382-393. [PMID: 38867669 DOI: 10.1152/japplphysiol.00871.2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 06/10/2024] [Accepted: 06/11/2024] [Indexed: 06/14/2024] Open
Abstract
Prior studies of muscle blood flow and muscle-specific oxygen consumption have required invasive injection of dye and magnetic resonance imaging, respectively. Such measures have limited utility for continuous monitoring of the respiratory muscles. Frequency-domain near-infrared spectroscopy and diffuse correlation spectroscopy (FD-NIRS & DCS) can provide continuous surrogate measures of blood flow index (BFi) and metabolic rate of oxygen consumption (MRO2). This study aimed to validate sternocleidomastoid FD-NIRS & DCS outcomes against electromyography (EMG) and mouth pressure (Pm) during incremental inspiratory threshold loading (ITL). Six female and six male healthy adults (means ± SD; 30 ± 7 yr, maximum inspiratory pressure 118 ± 61 cmH2O) performed incremental ITL starting at low loads (8 ± 2 cmH2O) followed by 50-g increments every 2 min until task failure. FD-NIRS & DCS continuously measured sternocleidomastoid oxygenated and deoxygenated hemoglobin + myoglobin (oxy/deoxy[Hb + Mb]), tissue saturation of oxygen (StO2), BFi, and MRO2. Ventilatory parameters including inspiratory Pm were also evaluated. Pm increased during incremental ITL (P < 0.05), reaching -47[-74 to -34] cmH2O (median [IQR: 25%-75%]) at task failure. Ventilatory parameters were constant throughout ITL (all P > 0.05). Sternocleidomastoid BFi and MRO2 increased from the start of the ITL (both P < 0.05). Deoxy[Hb + Mb] increased close to task failure, concomitantly with a constant increase in MRO2, and decreased StO2. Sternocleidomastoid deoxy[Hb + Mb], BFi, StO2, and MRO2 obtained during ITL via FD-NIRS & DCS correlated with sternocleidomastoid EMG (all P < 0.05). In healthy adults, FD-NIRS & DCS can provide continuous surrogate measures of respiratory BFi and MRO2. Increasing sternocleidomastoid oxygen consumption near task failure was associated with increased oxygen extraction and reduced tissue saturation.NEW & NOTEWORTHY This study introduces a novel approach, frequency-domain near-infrared spectroscopy and diffuse correlation spectroscopy (FD-NIRS & DCS), for noninvasive continuous monitoring of respiratory muscle blood flow and metabolic rate of oxygen consumption. Unlike prior methods involving invasive dye injection and magnetic resonance imaging, FD-NIRS & DCS offers the advantage of continuous measurement without the need for invasive procedures. It holds promise for advancing muscle physiology understanding and opens avenues for real-time monitoring of respiratory muscles.
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Affiliation(s)
- Antenor Rodrigues
- Department of Critical Care, Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Kazuya Shingai
- Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada
- Department of Physical Therapy Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Carlos A Gómez
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts, United States
| | - Peter Rassam
- Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada
| | - Dmitry Rozenberg
- Ajmera Transplant Program, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada
- Division of Respirology, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ewan Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Physiology, University of Toronto, Toronto, Ontario, Canada
| | - Laurent Brochard
- Department of Critical Care, Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Darren Roblyer
- Department of Physical Therapy Science, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - W Darlene Reid
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Physical Therapy, University of Toronto, Toronto, Ontario, Canada
- KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
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2
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Jonkman AH, Warnaar RSP, Baccinelli W, Carbon NM, D'Cruz RF, Doorduin J, van Doorn JLM, Elshof J, Estrada-Petrocelli L, Graßhoff J, Heunks LMA, Koopman AA, Langer D, Moore CM, Nunez Silveira JM, Petersen E, Poddighe D, Ramsay M, Rodrigues A, Roesthuis LH, Rossel A, Torres A, Duiverman ML, Oppersma E. Analysis and applications of respiratory surface EMG: report of a round table meeting. Crit Care 2024; 28:2. [PMID: 38166968 PMCID: PMC10759550 DOI: 10.1186/s13054-023-04779-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
Surface electromyography (sEMG) can be used to measure the electrical activity of the respiratory muscles. The possible applications of sEMG span from patients suffering from acute respiratory failure to patients receiving chronic home mechanical ventilation, to evaluate muscle function, titrate ventilatory support and guide treatment. However, sEMG is mainly used as a monitoring tool for research and its use in clinical practice is still limited-in part due to a lack of standardization and transparent reporting. During this round table meeting, recommendations on data acquisition, processing, interpretation, and potential clinical applications of respiratory sEMG were discussed. This paper informs the clinical researcher interested in respiratory muscle monitoring about the current state of the art on sEMG, knowledge gaps and potential future applications for patients with respiratory failure.
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Affiliation(s)
- A H Jonkman
- Department of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - R S P Warnaar
- Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands
| | - W Baccinelli
- Netherlands eScience Center, Amsterdam, The Netherlands
| | - N M Carbon
- Department of Anesthesiology, Friedrich Alexander-Universität Erlangen-Nürnberg, Uniklinikum Erlangen, Erlangen, Germany
| | - R F D'Cruz
- Lane Fox Clinical Respiratory Physiology Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - J Doorduin
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J L M van Doorn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - J Elshof
- Department of Pulmonary Diseases/Home Mechanical Ventilation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - L Estrada-Petrocelli
- Facultad de Ingeniería and Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT) - Sistema Nacional de Investigación (SNI), Universidad Latina de Panamá (ULATINA), Panama, Panama
| | - J Graßhoff
- Fraunhofer Research Institution for Individualized and Cell-Based Medical Engineering, Lübeck, Germany
| | - L M A Heunks
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A A Koopman
- Division of Paediatric Critical Care Medicine, Department of Paediatrics, Beatrix Children's Hospital, University Medical Center Groningen, Groningen, The Netherlands
| | - D Langer
- Research Group for Rehabilitation in Internal Disorders, Department of Rehabilitation Sciences, KU Leuven, 3000, Leuven, Belgium
| | - C M Moore
- Netherlands eScience Center, Amsterdam, The Netherlands
| | - J M Nunez Silveira
- Hospital Italiano de Buenos Aires, Unidad de Terapia Intensiva, Ciudad de Buenos Aires, Argentina
| | - E Petersen
- Technical University of Denmark (DTU), DTU Compute, 2800, Kgs. Lyngby, Denmark
| | - D Poddighe
- Research Group for Rehabilitation in Internal Disorders, Department of Rehabilitation Sciences, KU Leuven, 3000, Leuven, Belgium
| | - M Ramsay
- Lane Fox Clinical Respiratory Physiology Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - A Rodrigues
- Keenan Centre for Biomedical Research, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, ON, Canada
| | - L H Roesthuis
- Department of Intensive Care, Radboud University Medical Center, Nijmegen, The Netherlands
| | - A Rossel
- Department of Acute Medicine, Geneva University Hospitals, Geneva, Switzerland
| | - A Torres
- Institut de Bioenginyeria de Catalunya (IBEC), Barcelona Institute of Science and Technology (BIST) and Biomedical Research Networking Centre in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Universitat Politècnica de Catalunya BarcelonaTech (UPC), Barcelona, Spain
| | - M L Duiverman
- Department of Pulmonary Diseases/Home Mechanical Ventilation, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - E Oppersma
- Cardiovascular and Respiratory Physiology, TechMed Centre, University of Twente, Enschede, The Netherlands.
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3
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MacAskill W, Hoffman B, Johnson MA, Sharpe GR, Rands J, Wotherspoon SE, Gevorkov Y, Kolbe‐Alexander TL, Mills DE. The effects of age on dyspnea and respiratory mechanical and neural responses to exercise in healthy men. Physiol Rep 2023; 11:e15794. [PMID: 37604647 PMCID: PMC10442526 DOI: 10.14814/phy2.15794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/02/2023] [Accepted: 08/02/2023] [Indexed: 08/23/2023] Open
Abstract
The respiratory muscle pressure generation and inspiratory and expiratory neuromuscular recruitment patterns in younger and older men were compared during exercise, alongside descriptors of dyspnea. Healthy younger (n = 8, 28 ± 5 years) and older (n = 8, 68 ± 4 years) men completed a maximal incremental cycling test. Esophageal, gastric (Pga ) and transdiaphragmatic pressures, and electromyography (EMG) of the crural diaphragm were measured using a micro-transducer and EMG catheter. EMG of the parasternal intercostals, sternocleidomastoids, and rectus abdominis were measured using skin surface electrodes. After the exercise test, participants completed a questionnaire to evaluate descriptors of dyspnea. Pga at end-expiration, Pga expiratory tidal swings, and the gastric pressure-time product (PTPga ) at absolute and relative minute ventilation were higher (p < 0.05) for older compared to younger men. There were no differences in EMG responses between older and younger men. Younger men were more likely to report shallow breathing (p = 0.005) than older men. Our findings showed younger and older men had similar respiratory neuromuscular activation patterns and reported different dyspnea descriptors, and that older men had greater expiratory muscle pressure generation during exercise. Greater expiratory muscle pressures in older men may be due to compensatory mechanisms designed to offset increasing airway resistance due to aging. These results may have implications for exercise-induced expiratory muscle fatigue in older men.
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Affiliation(s)
- William MacAskill
- School of Health and Medical SciencesUniversity of Southern QueenslandIpswichQueenslandAustralia
- Respiratory and Exercise Physiology Research Group, School of Health and WellbeingUniversity of Southern QueenslandIpswichQueenslandAustralia
- Centre for Health ResearchInstitute for Resilient Regions, University of Southern QueenslandIpswichQueenslandAustralia
- Rural Clinical SchoolGriffith UniversityToowoombaQueenslandAustralia
| | - Ben Hoffman
- School of Health and Medical SciencesUniversity of Southern QueenslandIpswichQueenslandAustralia
- Centre for Health ResearchInstitute for Resilient Regions, University of Southern QueenslandIpswichQueenslandAustralia
| | - Michael A. Johnson
- Exercise and Health Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, School of Science and TechnologyNottingham Trent UniversityNottinghamshireUK
| | - Graham R. Sharpe
- Exercise and Health Research Group, Sport, Health and Performance Enhancement (SHAPE) Research Centre, School of Science and TechnologyNottingham Trent UniversityNottinghamshireUK
| | - Joshua Rands
- School of Health and Medical SciencesUniversity of Southern QueenslandIpswichQueenslandAustralia
- Respiratory and Exercise Physiology Research Group, School of Health and WellbeingUniversity of Southern QueenslandIpswichQueenslandAustralia
| | | | - Yaroslav Gevorkov
- Institute of Vision Systems, Hamburg University of TechnologyHamburgGermany
| | - Tracy L. Kolbe‐Alexander
- School of Health and Medical SciencesUniversity of Southern QueenslandIpswichQueenslandAustralia
- Centre for Health ResearchInstitute for Resilient Regions, University of Southern QueenslandIpswichQueenslandAustralia
- UCT Research Centre for Health through Physical Activity, Lifestyle and Sport (HPALS), Division of Research Unit for Exercise Science and Sports Medicine, Faculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Dean E. Mills
- School of Health and Medical SciencesUniversity of Southern QueenslandIpswichQueenslandAustralia
- Respiratory and Exercise Physiology Research Group, School of Health and WellbeingUniversity of Southern QueenslandIpswichQueenslandAustralia
- Centre for Health ResearchInstitute for Resilient Regions, University of Southern QueenslandIpswichQueenslandAustralia
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Rodrigues A, Janssens L, Langer D, Matsumura U, Rozenberg D, Brochard L, Reid WD. Semi-automated Detection of the Timing of Respiratory Muscle Activity: Validation and First Application. Front Physiol 2022; 12:794598. [PMID: 35046839 PMCID: PMC8762204 DOI: 10.3389/fphys.2021.794598] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 11/26/2021] [Indexed: 11/24/2022] Open
Abstract
Background: Respiratory muscle electromyography (EMG) can identify whether a muscle is activated, its activation amplitude, and timing. Most studies have focused on the activation amplitude, while differences in timing and duration of activity have been less investigated. Detection of the timing of respiratory muscle activity is typically based on the visual inspection of the EMG signal. This method is time-consuming and prone to subjective interpretation. Aims: Our main objective was to develop and validate a method to assess the respective timing of different respiratory muscle activity in an objective and semi-automated manner. Method: Seven healthy adults performed an inspiratory threshold loading (ITL) test at 50% of their maximum inspiratory pressure until task failure. Surface EMG recordings of the costal diaphragm/intercostals, scalene, parasternal intercostals, and sternocleidomastoid were obtained during ITL. We developed a semi-automated algorithm to detect the onset (EMG, onset) and offset (EMG, offset) of each muscle’s EMG activity breath-by-breath with millisecond accuracy and compared its performance with manual evaluations from two independent assessors. For each muscle, the Intraclass Coefficient correlation (ICC) of the EMG, onset detection was determined between the two assessors and between the algorithm and each assessor. Additionally, we explored muscle differences in the EMG, onset, and EMG, offset timing, and duration of activity throughout the ITL. Results: More than 2000 EMG, onset s were analyzed for algorithm validation. ICCs ranged from 0.75–0.90 between assessor 1 and 2, 0.68–0.96 between assessor 1 and the algorithm, and 0.75–0.91 between assessor 2 and the algorithm (p < 0.01 for all). The lowest ICC was shown for the diaphragm/intercostal and the highest for the parasternal intercostal (0.68 and 0.96, respectively). During ITL, diaphragm/intercostal EMG, onset occurred later during the inspiratory cycle and its activity duration was shorter than the scalene, parasternal intercostal, and sternocleidomastoid (p < 0.01). EMG, offset occurred synchronously across all muscles (p ≥ 0.98). EMG, onset, and EMG, offset timing, and activity duration was consistent throughout the ITL for all muscles (p > 0.63). Conclusion: We developed an algorithm to detect EMG, onset of several respiratory muscles with millisecond accuracy that is time-efficient and validated against manual measures. Compared to the inherent bias of manual measures, the algorithm enhances objectivity and provides a strong standard for determining the respiratory muscle EMG, onset.
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Affiliation(s)
- Antenor Rodrigues
- Department of Critical Care, St. Michael's Hospital, Toronto, ON, Canada
| | - Luc Janssens
- Department of Electrical Engineering, Faculty of Engineering Technology, Katholieke Universiteit Leuven, Leuven, Belgium.,Department of Rehabilitation Sciences, Faculty of Movement and Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Daniel Langer
- Department of Rehabilitation Sciences, Faculty of Movement and Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, Katholieke Universiteit Leuven, Leuven, Belgium.,Respiratory Rehabilitation and Respiratory Division, University Hospital Leuven, Leuven, Belgium
| | - Umi Matsumura
- Department of Physiotherapy, Nagasaki University, Nagasaki, Japan
| | - Dmitry Rozenberg
- Division of Respirology, Temerty Faculty of Medicine, University of Toronto, University Health Network, Toronto, ON, Canada.,Toronto General Hospital Research Institute, Toronto, ON, Canada
| | - Laurent Brochard
- Department of Critical Care, St. Michael's Hospital, Toronto, ON, Canada.,Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada
| | - W Darlene Reid
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.,Department of Physical Therapy, University of Toronto, Toronto, ON, Canada.,KITE, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
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5
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Estimated ECG Subtraction method for removing ECG artifacts in esophageal recordings of diaphragm EMG. Biomed Signal Process Control 2021. [DOI: 10.1016/j.bspc.2021.102861] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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6
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Louvaris Z, Langer D, Gosselink R. Detailing the mechanisms of chronic dyspnea in patients during cardiopulmonary exercise testing. J Bras Pneumol 2021; 47:e20210014. [PMID: 33656095 PMCID: PMC8332666 DOI: 10.36416/1806-3756/e20210014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Affiliation(s)
- Zafeiris Louvaris
- . Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Belgium
- . Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE department CHROMETA, KU Leuven, Belgium
| | - Daniel Langer
- . Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Belgium
- . Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE department CHROMETA, KU Leuven, Belgium
| | - Rik Gosselink
- . Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Belgium
- . Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE department CHROMETA, KU Leuven, Belgium
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7
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Louvaris Z, Rodrigues A, Dacha S, Gojevic T, Janssens W, Vogiatzis I, Gosselink R, Langer D. High-intensity exercise impairs extradiaphragmatic respiratory muscle perfusion in patients with COPD. J Appl Physiol (1985) 2020; 130:325-341. [PMID: 33119468 DOI: 10.1152/japplphysiol.00659.2020] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
The study investigated whether high-intensity exercise impairs inspiratory and expiratory muscle perfusion in patients with chronic obstructive pulmonary disease (COPD). We compared respiratory local muscle perfusion between constant-load cycling[sustained at 80% peak work rate (WRpeak)] and voluntary normocapnic hyperpnea reproducing similar work of breathing (WoB) in 18 patients [forced expiratory volume in the first second (FEV1): 58 ± 24% predicted]. Local muscle blood flow index (BFI), using indocyanine green dye, and fractional oxygen saturation (%StiO2) were simultaneously assessed by near-infrared spectroscopy (NIRS) over the intercostal, scalene, rectus abdominis, and vastus lateralis muscles. Cardiac output (impedance cardiography), WoB (esophageal/gastric balloon catheter), and diaphragmatic and extradiaphragmatic respiratory muscle electromyographic activity (EMG) were also assessed throughout cycling and hyperpnea. Minute ventilation, breathing pattern, WoB, and respiratory muscle EMG were comparable between cycling and hyperpnea. During cycling, cardiac output and vastus lateralis BFI were significantly greater compared with hyperpnea [by +4.2 (2.6-5.9) L/min and +4.9 (2.2-7.8) nmol/s, respectively] (P < 0.01). Muscle BFI and %StiO2 were, respectively, lower during cycling compared with hyperpnea in scalene [by -3.8 (-6.4 to -1.2) nmol/s and -6.6 (-8.2 to -5.1)%], intercostal [by -1.4 (-2.4 to -0.4) nmol/s and -6.0 (-8.6 to -3.3)%], and abdominal muscles [by -1.9 (-2.9 to -0.8) nmol/s and -6.3 (-9.1 to -3.4)%] (P < 0.001). The difference in respiratory (scalene and intercostal) muscle BFI between cycling and hyperpnea was associated with greater dyspnea (Borg CR10) scores (r = -0.54 and r = -0.49, respectively, P < 0.05). These results suggest that in patients with COPD, 1) locomotor muscle work during high-intensity exercise impairs extradiaphragmatic respiratory muscle perfusion and 2) insufficient adjustment in extradiaphragmatic respiratory muscle perfusion during high-intensity exercise may partly explain the increased sensations of dyspnea.NEW & NOTEWORTHY We simultaneously assessed the blood flow index (BFI) in three respiratory muscles during hyperpnea and high-intensity constant-load cycling sustained at comparable levels of work of breathing and respiratory neural drive in patients with COPD. We demonstrated that high-intensity exercise impairs respiratory muscle perfusion, as intercostal, scalene, and abdominal BFI increased during hyperpnea but not during cycling. Insufficient adjustment in respiratory muscle perfusion during exercise was associated with greater dyspnea sensations in patients with COPD.
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Affiliation(s)
- Zafeiris Louvaris
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium.,Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE Department CHROMETA, KU Leuven, Leuven, Belgium
| | - Antenor Rodrigues
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium.,Laboratory of Research in Respiratory Physiotherapy (LFIP), Department of Physiotherapy, Londrina State University (UEL), Londrina, Brazil.,Research Aimed at Muscle Performance Laboratory (RAMP), Department of Physical Therapy, University of Toronto, Toronto, Canada
| | - Sauwaluk Dacha
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium.,Faculty of Associated Medical Sciences, Department of Physical Therapy, Chiang Mai University, Chiang Mai, Thailand
| | - Tin Gojevic
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium
| | - Wim Janssens
- Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE Department CHROMETA, KU Leuven, Leuven, Belgium
| | - Ioannis Vogiatzis
- Faculty of Health and Life Sciences, Department of Sport, Exercise, and Rehabilitation, Northumbria University Newcastle, Newcastle, United Kingdom
| | - Rik Gosselink
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium.,Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE Department CHROMETA, KU Leuven, Leuven, Belgium
| | - Daniel Langer
- Faculty of Movement and Rehabilitation Sciences, Department of Rehabilitation Sciences, Research Group for Rehabilitation in Internal Disorders, KU Leuven, Leuven, Belgium.,Clinical Department of Respiratory Diseases, UZ Leuven, BREATHE Department CHROMETA, KU Leuven, Leuven, Belgium
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8
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Domnik NJ, Walsted ES, Langer D. Clinical Utility of Measuring Inspiratory Neural Drive During Cardiopulmonary Exercise Testing (CPET). Front Med (Lausanne) 2020; 7:483. [PMID: 33043023 PMCID: PMC7530180 DOI: 10.3389/fmed.2020.00483] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/16/2020] [Indexed: 12/18/2022] Open
Abstract
Cardiopulmonary exercise testing (CPET) has traditionally included ventilatory and metabolic measurements alongside electrocardiographic characterization; however, research increasingly acknowledges the utility of also measuring inspiratory neural drive (IND) through its surrogate measure of diaphragmatic electromyography (EMGdi). While true IND also encompasses the activation of non-diaphragmatic respiratory muscles, the current review focuses on diaphragmatic measurements, providing information about additional inspiratory muscle groups for context where appropriate. Evaluation of IND provides mechanistic insight into the origins of dyspnea and exercise limitation across pathologies; yields valuable information reflecting the integration of diverse mechanical, chemical, locomotor, and metabolic afferent signals; and can help assess the efficacy of therapeutic interventions. Further, IND measurement during the physiologic stress of exercise is uniquely poised to reveal the underpinnings of physiologic limitations masked during resting and unloaded breathing, with important information provided not only at peak exercise, but throughout exercise protocols. As our understanding of IND presentation across varying conditions continues to grow and methods for its measurement become more accessible, the translation of these principles into clinical settings is a logical next step in facilitating appropriate and nuanced management tailored to each individual's unique physiology. This review provides an overview of the current state of understanding of IND measurement during CPET: its origins, known patterns of behavior and links with dyspnea in health and major respiratory diseases, and the possibility of expanding this approach to applications beyond exercise.
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Affiliation(s)
| | - Emil S. Walsted
- Respiratory Research Unit, Bispebjerg University Hospital, Copenhagen, Denmark
| | - Daniel Langer
- Research Group for Rehabilitation in Internal Disorders, Respiratory Rehabilitation and Respiratory Division, Department of Rehabilitation Sciences, University Hospital Leuven, KU Leuven, Leuven, Belgium
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