Skip to main content
 

Main menu

  • Home
  • Content
    • Current Issue
    • Editor's Commentary
    • Archives
    • Most-Read Papers of 2022
  • Authors
    • Author Guidelines
    • Submit a Manuscript
  • Reviewers
    • Reviewer Information
    • Create Reviewer Account
    • Reviewer Guidelines: Original Research
    • Reviewer Guidelines: Reviews
    • Appreciation of Reviewers
  • CRCE
    • Through the Journal
    • JournalCasts
    • AARC University
    • PowerPoint Template
  • Open Forum
    • 2023 Call for Abstracts
    • 2022 Abstracts
    • Previous Open Forums
  • Podcast
    • English
    • Español
    • Portugûes
    • 国语
  • Videos
    • Video Abstracts
    • Author Interviews
    • Highlighted Articles
    • The Journal

User menu

  • Subscribe
  • My alerts
  • Log in

Search

  • Advanced search
American Association for Respiratory Care
  • Subscribe
  • My alerts
  • Log in
American Association for Respiratory Care

Advanced Search

  • Home
  • Content
    • Current Issue
    • Editor's Commentary
    • Archives
    • Most-Read Papers of 2022
  • Authors
    • Author Guidelines
    • Submit a Manuscript
  • Reviewers
    • Reviewer Information
    • Create Reviewer Account
    • Reviewer Guidelines: Original Research
    • Reviewer Guidelines: Reviews
    • Appreciation of Reviewers
  • CRCE
    • Through the Journal
    • JournalCasts
    • AARC University
    • PowerPoint Template
  • Open Forum
    • 2023 Call for Abstracts
    • 2022 Abstracts
    • Previous Open Forums
  • Podcast
    • English
    • Español
    • Portugûes
    • 国语
  • Videos
    • Video Abstracts
    • Author Interviews
    • Highlighted Articles
    • The Journal
  • Twitter
  • Facebook
  • YouTube
EditorialEditorials

Dead Space in ARDS: Die Hard

Josefina López-Aguilar, Rudys Magrans and Lluís Blanch
Respiratory Care October 2017, 62 (10) 1372-1374; DOI: https://doi.org/10.4187/respcare.05842
Josefina López-Aguilar
Critical Care Center Parc Taulí Hospital Universitari Institut d'Investigació i Innovació Parc Taulí Universitat Autònoma de Barcelona Sabadell, Spain CIBERES Instituto de Salud Carlos III Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rudys Magrans
Critical Care Center Parc Taulí Hospital Universitari Institut d'Investigació i Innovació Parc Taulí Universitat Autònoma de Barcelona Sabadell, Spain CIBERES Instituto de Salud Carlos III Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lluís Blanch
Critical Care Center Parc Taulí Hospital Universitari Institut d'Investigació i Innovació Parc Taulí Universitat Autònoma de Barcelona Sabadell, Spain CIBERES Instituto de Salud Carlos III Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: [email protected]
  • Article
  • Info & Metrics
  • References
  • PDF
Loading

Physiologic dead space (VD), which is defined as the fraction of tidal volume (VT) that does not participate in gas exchange, provides information about the efficiency of lung gas exchange. In critical care, the most common approach to measuring VD/VT is volumetric capnography, which reports CO2 elimination as a function of expired VT, and VD/VT is calculated using the Enghoff modification of Bohr's equation: VD/VT = (PaCO2 − P̄ECO2)/PaCO2, where PaCO2 is the partial pressure of CO2 in arterial blood and P̄ECO2 is a measure or an estimate of mixed-expired partial pressure of CO2.1–6 The Enghoff equation is influenced by large shunt fractions present in ARDS, and the result is a good global index of the efficiency of lung gas exchange.2,3,5,7 Increased dead space is independently associated with an increased risk of death in subjects with ARDS.2 This association has been found in the era of lung-protective ventilation,6 at different stages of ARDS,8 using different measurement techniques,9,10 and in subjects with ARDS diagnosed using the Berlin definition.11

In this issue of Respiratory Care, Kallet et al12 present the results of an observational study in 685 subjects with ARDS managed with lung-protected ventilation, with VD/VT measurements forming part of clinical management. Calculating VD/VT using the Enghoff-Bohr equation from mean expired CO2, they found that VD/VT was generally elevated in subjects with aspiration or pneumonia, who had higher values than those with non-pulmonary sepsis or trauma. Although the magnitude of VD/VT elevation differed between etiologies, VD/VT in non-survivors was consistently higher than in survivors and correlated directly with the number of failing organs. The highest values of VD/VT were found in subjects with severe ARDS according to the Berlin classification, and VD/VT was the strongest predictor of mortality, with a 22% increase in the risk of death for every 0.05 increase in VD/VT.

The study by Kallet et al12 represents a step forward in establishing the clinical value of VD/VT, showing that this parameter can potentially be used to personalize care for mechanically ventilated patients. Dead space in patients with ARDS must be understood as a physiomarker of severity, and management should aim to protect the lung from overdistention while maximizing recruitment to avoid further increases in VD/VT.

ARDS is a broad term encompassing a heterogeneous group of severe diseases with acute onset that affect the lung parenchyma and impair respiratory system mechanics, manifesting with bilateral pulmonary infiltrates and loss of lung volume with hypoxemia refractory to high concentrations of oxygen.13 Two major types of injury can lead to ARDS: direct injury to the lung epithelium and indirect injury resulting from direct inflammation or disruption of the vascular endothelium. The differentiation between the 2 categories is based on clinical information, although they are distinct in terms of respiratory mechanics, pathologic findings, radiographic appearance, genetic risk, and protein biomarkers.14 The study by Kallet et al12 shows that they are also distinct in terms of VD/VT values. These findings should be interpreted in light of the recent finding by Luo et al15 that despite lower severity of illness and fewer organ failures, subjects with direct ARDS had similar mortality to subjects with indirect ARDS and that factors previously associated with mortality during ARDS were associated with mortality only in direct ARDS. Thus, it seems that the distinct features of ARDS resulting from direct and indirect lung injury may differentially affect risk prediction and clinical outcomes. In another recent study comparing the molecular phenotypes of direct versus indirect ARDS, Calfee et al16 found that direct lung injury in humans is characterized by more severe lung epithelial injury and less severe endothelial injury, whereas indirect lung injury is characterized by more severe endothelial injury and less severe epithelial injury. These authors concluded that the heterogeneity of ARDS should be taken into account to design better clinical trials. Unfortunately, neither of these studies measured dead space.

Interestingly, the response to treatment also differs between the 2 types of ARDS. One of the main objectives of lung-protective ventilation in ARDS is to achieve maximum lung recruitment while using low VT. Increased PEEP, recruitment maneuvers, and prone positioning result in much greater improvements in oxygenation, respiratory mechanics, or radiologic infiltrates in subjects with indirect ARDS than in those with direct ARDS.14,17,18 Several studies have failed to show a clear effect of PEEP on VD/VT19–23. Variations in VD/VT and its partitions resulting from PEEP largely depend on the type, degree, and stage of lung injury. When PEEP results in global lung recruitment, physiologic VD and alveolar VD decrease; when PEEP results in lung overdistention, physiologic VD and alveolar VD increase. Unfortunately, these results, found mostly in well-designed experimental models of ARDS, have not been reproduced in human subjects with ARDS.24 To assess of the influence of systematic respiratory mechanics tests on clinical management, a recent study compared physiological parameters associated with clinical outcomes by comparing their value before and after performing the tests.25 After the tests, the oxygenation index, airway pressure, and driving pressure improved, but VD/VT remained unchanged.25 The reason for the attenuated effect of the intervention on VD/VT might be wide variation in individual responses. Kallet et al12 also found only minor differences in VD/VT between mild and moderate ARDS, highlighting the importance of the response to PEEP in early stages of the disease for the prognosis. An increase in oxygenation with incremental PEEP is associated with better outcome in terms of Berlin classification,13,26 so in the rigid framework of this classification, the patient could not be moved to a different category from the initial allocation.

Since physiology is one of the foundations of critical care, Goligher et al27 applied the precision medicine paradigm to extracorporeal CO2 removal for ultraprotective ventilation in ARDS. Interestingly, they demonstrated that VD/VT and static compliance determine the effect of extracorporeal CO2 removal on driving pressure and mechanical power. They concluded that measuring VD/VT can be used to enrich clinical trials by selectively enrolling patients with a predicted treatment response.

Many voices are calling for changes in conventional ICU practice toward precision medicine to improve both physiological and clinical outcomes and to maximize cost-effectiveness.28,29 Continuous monitoring of physiologic signals, including VD/VT, and point-of-care data might lay the groundwork for precision critical care. In mechanically ventilated patients, it is important to monitor respiratory variables (oxygenation, mechanics, and VD/VT) to track respiratory changes and to prevent ventilator-induced lung injury or avoid further lung deterioration.5,30–32 Currently, big data techniques make it possible to store, manage, and analyze the huge volumes of multidimensional data generated in the ICU, so that advanced signal processing and computing techniques can transform volume to value.33,34 Whether adding VD/VT values to the clinical data available in ICUs will detect unseen patterns and/or provide valuable tools for decision making to improve outcomes in ARDS remains to be seen.

Footnotes

  • Correspondence: Lluís Blanch MD PhD, Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona, Parc Taulí 1, 08208 Sabadell, Spain. E-mail: lblanch{at}tauli.cat.
  • The authors have disclosed no conflicts of interest.

  • See the Original Study on Page 1241

  • Copyright © 2017 by Daedalus Enterprises

References

  1. 1.↵
    1. Lucangelo U,
    2. Blanch L
    . Dead space. Intensive Care Med 2004;30(4):576–579.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Murias G,
    2. Blanch L,
    3. Lucangelo U
    . The physiology of ventilation. Respir Care 2014;59(11):1795–1807.
    OpenUrlFREE Full Text
  3. 3.↵
    1. Suarez-Sipmann F,
    2. Bohm SH,
    3. Tusman G
    . Volumetric capnography: the time has come. Curr Opin Crit Care 2014;20(3):333–339.
    OpenUrlCrossRefPubMed
  4. 4.
    1. Doorduin J,
    2. Nollet JL,
    3. Vugts MP,
    4. Roesthuis LH,
    5. Akankan F,
    6. van der Hoeven JG,
    7. et al
    . Assessment of dead-space ventilation in patients with acute respiratory distress syndrome: a prospective observational study. Crit Care 2016;20(1):121.
    OpenUrl
  5. 5.↵
    1. Kipnis E,
    2. Ramsingh D,
    3. Bhargava M,
    4. Dincer E,
    5. Cannesson M,
    6. Broccard A,
    7. et al
    . Monitoring in the intensive care. Crit Care Res Pract 2012;2012:473507. doi: 10.1155/2012/473507.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Nuckton TJ,
    2. Alonso JA,
    3. Kallet RH,
    4. Daniel BM,
    5. Pittet JF,
    6. Eisner MD,
    7. Matthay MA
    . Pulmonary dead-space fraction as a risk factor for death in the acute respiratory distress syndrome. N Engl J Med 2002;346(17):1281–1286.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Brochard L,
    2. Martin GS,
    3. Blanch L,
    4. Pelosi P,
    5. Belda FJ,
    6. Jubran A,
    7. et al
    . Clinical review: respiratory monitoring in the ICU: a consensus of 16. Crit Care 2012;16(2):219.
    OpenUrlPubMed
  8. 8.↵
    1. Raurich JM,
    2. Vilar M,
    3. Colomar A,
    4. Ibáñez J,
    5. Ayestarán I,
    6. Pérez-Bárcena J,
    7. Llompart-Pou JA
    . Prognostic value of the pulmonary dead-space fraction during the early and intermediate phases of acute respiratory distress syndrome. Respir Care 2010;55(3):282–287.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    1. Lucangelo U,
    2. Bernabè F,
    3. Vatua S,
    4. Degrassi G,
    5. Villagrà A,
    6. Fernandez R,
    7. et al
    . Prognostic value of different dead space indices in mechanically ventilated patients with acute lung injury and ARDS. Chest 2008;133(1):62–71.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Siddiki H,
    2. Kojicic M,
    3. Li G,
    4. Yilmaz M,
    5. Thompson TB,
    6. Hubmayr RD,
    7. Gajic O
    . Bedside quantification of dead-space fraction using routine clinical data in patients with acute lung injury: secondary analysis of two prospective trials. Crit Care 2010;14(4):R141.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Kallet RH,
    2. Zhuo H,
    3. Liu KD,
    4. Calfee CS,
    5. Matthay MA
    . The association between physiologic dead-space fraction and mortality in subjects with ARDS enrolled in a prospective multi-center clinical trial. Respir Care 2014;59(11):1611–1618.
    OpenUrlAbstract/FREE Full Text
  12. 12.↵
    1. Kallet RH,
    2. Zhuo H,
    3. Ho K,
    4. Lipnick MS,
    5. Gomez A,
    6. Matthay MA
    . Lung injury etiology and other factors influencing the relationship between dead-space fraction and mortality in ARDS. Respir Care 2017 [Epub ahead of print] doi: 10.4187/respcare.05589.
  13. 13.↵
    1. Ranieri VM,
    2. Rubenfeld GD,
    3. Thompson BT,
    4. Ferguson ND,
    5. Caldwell E,
    6. et al
    ARDS Definition Task Force, Ranieri VM, Rubenfeld GD, Thompson BT, Ferguson ND, Caldwell E, et al. Acute respiratory distress syndrome: the Berlin definition. JAMA 2012;307(23):2526–2533.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Shaver CM,
    2. Bastarache JA
    . Clinical and biological heterogeneity in acute respiratory distress syndrome: direct versus indirect lung injury. Clin Chest Med 2014;35(4):639–653.
    OpenUrl
  15. 15.↵
    1. Luo L,
    2. Shaver CM,
    3. Zhao Z,
    4. Koyama T,
    5. Calfee CS,
    6. Bastarache JA,
    7. Ware LB
    . Clinical predictors of hospital mortality differ between direct and indirect ARDS. Chest 2017;151(4):755–763.
    OpenUrl
  16. 16.↵
    1. Calfee CS,
    2. Janz DR,
    3. Bernard GR,
    4. May AK,
    5. Kangelaris KN,
    6. Matthay MA,
    7. Ware LB
    . Distinct molecular phenotypes of direct vs indirect ARDS in single-center and multicenter studies. Chest 2015;147(6):1539–1548.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Gattinoni L,
    2. Pelosi P,
    3. Suter PM,
    4. Pedoto A,
    5. Vercesi P,
    6. Lissoni A
    . Acute respiratory distress syndrome caused by pulmonary and extrapulmonary disease: different syndromes? Am J Respir Crit Care Med 1998;158(1):3–11.
    OpenUrlCrossRefPubMed
  18. 18.↵
    1. Pelosi P,
    2. D'Onofrio D,
    3. Chiumello D,
    4. Paolo S,
    5. Chiara G,
    6. Capelozzi VL,
    7. et al
    . Pulmonary and extrapulmonary acute respiratory distress syndrome are different. Eur Respir J Suppl 2003;42:48s–56s.
    OpenUrl
  19. 19.↵
    1. Blanch L,
    2. Lucangelo U,
    3. Lopez-Aguilar J,
    4. Fernandez R,
    5. Romero PV
    . Volumetric capnography in patients with acute lung injury: effects of positive end-expiratory pressure. Eur Respir J 1999;13(5):1048–1054.
    OpenUrlAbstract/FREE Full Text
  20. 20.
    1. Fengmei G,
    2. Jin C,
    3. Songqiao L,
    4. Congshan Y,
    5. Yi Y
    . Dead space fraction changes during PEEP titration following lung recruitment in patients with ARDS. Respir Care 2012;57(10):1578–1585.
    OpenUrlAbstract/FREE Full Text
  21. 21.
    1. Blanch L,
    2. Fernández R,
    3. Benito S,
    4. Mancebo J,
    5. Net A
    . Effect of PEEP on the arterial minus end-tidal carbon dioxide gradient. Chest 1987;92(3):451–454.
    OpenUrlCrossRefPubMed
  22. 22.
    1. Cressoni M,
    2. Cadringher P,
    3. Chiurazzi C,
    4. Amini M,
    5. Gallazzi E,
    6. Marino A,
    7. et al
    . Lung inhomogeneity in patients with acute respiratory distress syndrome. Am J Respir Crit Care Med 2014;189(2):149–158.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Beydon L,
    2. Uttman L,
    3. Rawal R,
    4. Jonson B
    . Effects of positive end-expiratory pressure on dead space and its partitions in acute lung injury. Intensive Care Med 2002;28(9):1239–1245.
    OpenUrlCrossRefPubMed
  24. 24.↵
    1. Tusman G,
    2. Suarez-Sipmann F,
    3. Böhm SH,
    4. Pech T,
    5. Reissmann H,
    6. Meschino G,
    7. et al
    . Monitoring dead space during recruitment and PEEP titration in an experimental model. Intensive Care Med 2006;32(11):1863–1871.
    OpenUrlCrossRefPubMed
  25. 25.↵
    1. Chen L,
    2. Chen GQ,
    3. Shore K,
    4. Shklar O,
    5. Martins C,
    6. Devenyi B,
    7. et al
    . Implementing a bedside assessment of respiratory mechanics in patients with acute respiratory distress syndrome. Crit Care 2017;21(1):84.
    OpenUrl
  26. 26.↵
    1. Villar J,
    2. Fernández RL,
    3. Ambrós A,
    4. Parra L,
    5. Blanco J,
    6. Domínguez-Berrot AM,
    7. et al
    . A clinical classification of the acute respiratory distress syndrome for predicting outcome and guiding medical therapy. Crit Care Med 2015;43(2):346–353.
    OpenUrlPubMed
  27. 27.↵
    1. Goligher EC,
    2. Amato MBP,
    3. Slutsky AS
    . Applying precision medicine to trial design using physiology: extracorporeal CO2 removal for ARDS. Am J Respir Crit Care Med 2017. doi: 10.1164/rccm.201701-0248CP.
  28. 28.↵
    1. Buchman TG,
    2. Billiar TR,
    3. Elster E,
    4. Kirk AD,
    5. Rimawi RH,
    6. Vodovotz Y,
    7. Zehnbauer BA
    . Precision medicine for critical illness and injury. Crit Care Med 2016;44(9):1635–1638.
    OpenUrl
  29. 29.↵
    1. Maslove DM,
    2. Lamontagne F,
    3. Marshall JC,
    4. Heyland DK
    . A path to precision in the ICU. Crit Care 2017;21(1):79.
    OpenUrl
  30. 30.↵
    1. Blanch L,
    2. Sales B,
    3. Montanya J,
    4. Lucangelo U,
    5. Garcia-Esquirol O,
    6. Villagra A,
    7. et al
    . Validation of the Better Care system to detect ineffective efforts during expiration in mechanically ventilated patients: a pilot study. Intensive Care Med 2012;38(5):772–780.
    OpenUrlCrossRefPubMed
  31. 31.
    1. Dres M,
    2. Rittayamai N,
    3. Brochard L
    . Monitoring patient-ventilator asynchrony. Curr Opin Crit Care 2016;22(3):246–253.
    OpenUrl
  32. 32.↵
    1. Blanch L,
    2. Villagra A,
    3. Sales B,
    4. Montanya J,
    5. Lucangelo U,
    6. Luján M,
    7. et al
    . Asynchronies during mechanical ventilation are associated with mortality. Intensive Care Med 2015;41(4):633–641.
    OpenUrlPubMed
  33. 33.↵
    1. Wang Y,
    2. Kung L,
    3. Byrd TA
    . Big data analytics: understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change 2016. doi: 10.1016/j.techfore.2015.12.019.
  34. 34.↵
    1. Jacono FJ,
    2. De Georgia MA,
    3. Wilson CG,
    4. Dick TE,
    5. Loparo KA
    . Data acquisition and complex systems analysis in critical care: developing the intensive care unit of the future. J Healthcare Engineering 2010;1(3):337–355.
    OpenUrlCrossRef
PreviousNext
Back to top

In this issue

Respiratory Care: 62 (10)
Respiratory Care
Vol. 62, Issue 10
1 Oct 2017
  • Table of Contents
  • Table of Contents (PDF)
  • Cover (PDF)
  • Index by author

 

Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on American Association for Respiratory Care.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Dead Space in ARDS: Die Hard
(Your Name) has sent you a message from American Association for Respiratory Care
(Your Name) thought you would like to see the American Association for Respiratory Care web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Dead Space in ARDS: Die Hard
Josefina López-Aguilar, Rudys Magrans, Lluís Blanch
Respiratory Care Oct 2017, 62 (10) 1372-1374; DOI: 10.4187/respcare.05842

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Dead Space in ARDS: Die Hard
Josefina López-Aguilar, Rudys Magrans, Lluís Blanch
Respiratory Care Oct 2017, 62 (10) 1372-1374; DOI: 10.4187/respcare.05842
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Footnotes
    • References
  • Info & Metrics
  • References
  • PDF

Related Articles

Cited By...

Info For

  • Subscribers
  • Institutions
  • Advertisers

About Us

  • About the Journal
  • Editorial Board

AARC

  • Membership
  • Meetings
  • Clinical Practice Guidelines

More

  • Contact Us
  • RSS
American Association for Respiratory Care

Print ISSN: 0020-1324        Online ISSN: 1943-3654

© Daedalus Enterprises, Inc.

Powered by HighWire