Skip to main content

Are we ready to think differently about setting PEEP?

In stark contrast to the undisputed mortality benefit of lower tidal volume ventilation in patients with acute respiratory distress syndrome (ARDS) [1], the best strategy to determine optimal positive end expiratory pressure (PEEP) remains an unresolved question [2,3,4,5,6]. It is an important question because conventional understanding predicts the right PEEP will maintain recruitment of mechanically unstable alveoli, improving both oxygenation and lung compliance. Improved compliance, combined with lower ventilation volumes, maximizes lung protection by limiting tidal airway pressure changes.

Oxygenation is a convenient target for determining PEEP, and protocols directing clinicians to increase PEEP in a stepwise fashion, based on the fraction of inspirated oxygen (FiO2) required to maintain arterial oxygen levels within a specified range, have been used in several studies and guidelines [1,2,3]. Increasing PEEP to “chase” FiO2 requirements in this manner is simple, reproducible, and in the absence of a superior strategy [2,3,4,5,6], commonly practiced. However, it assumes the dominant mechanism of hypoxemia is alveolar collapse and an associated reduction in compliance, where increasing PEEP increases recruitment of functional lung units. These assumptions fail when patients meet ARDS criteria and the dominant mechanism of hypoxemia is not alveolar collapse, because hypoxemia may coexist with minimally impaired lung compliance. While such patients may only represent one end of the compliance spectrum in ARDS [7], increasing PEEP to “chase” FiO2 requirements in this setting leads to the use of ever higher PEEP, even though relatively few functional lung units are re-opened.

This mechanistic distinction is important. When increasing PEEP does not recruit functional lung units and improve pulmonary compliance, it will increase lung distention and energy transfer to the pulmonary-parenchymal matrix [8]. This raises the risk of lung injury, dead-space formation, pneumothorax, and detrimental hemodynamic consequences. Oxygenation measures are not sensitive to this; increasing PEEP elevates mean airway pressure, and Henry’s law predicts this also increases the partial pressure of oxygen (PaO2) to FiO2 (P:F) ratio regardless of whether functional lung units are recruited, at least until cardiac output becomes impaired. This would be of no consequence if the coexistence of hypoxemia and minimally impaired compliance was exceedingly rare in ARDS. However, this is not the case because the ARDS definition only accounts for P:F ratio, a measure of oxygenation, not compliance. Therefore, although mean lung compliance in ARDS cohorts is usually low, the range is wide and some patients may experience only mild compliance reductions [7].

Patients with COVID-19 are an example of this phenomenon. The mechanisms of hypoxemia in the early phases of disease appear to be driven more by pulmonary endothelial dysfunction than by collapse of functional alveoli. This is because the virus gains cellular entry via the angiotensin-converting enzyme II receptor, which is not only present in the lung epithelium, but also abundantly present in vascular endothelium and arterial smooth muscle cells [9]. Therefore, as well as causing pneumonia, the virus incites inflammation of the pulmonary vasculature leading to a ‘VA/Q’ mismatch and P:F ratio that is out of proportion to the change in pulmonary mechanics [9]. Under these circumstances, “chasing” FiO2 with PEEP might lead to continued upward titration of PEEP even though few functional lung units are re-opened, potentially causing harm.

That different ARDS patients might respond differently to PEEP was documented well before COVID-19. In 2014 Calfee and colleagues identified two ARDS sub-phenotypes based on inflammatory biomarkers [10]. They demonstrated that higher PEEP reduced mortality in patients with a hyper-inflammatory sub-phenotype and increased mortality in those with a hypo-inflammatory sub-phenotype. Although the effect of PEEP on different ARDS sub-phenotypes of lung compliance has not been described [7], it is harmful in other settings where hypoxemia leads to the use of high PEEP levels despite relatively conserved compliance [11]. Given the inherent pitfalls of an oxygenation-based PEEP strategy, perhaps a more physiologic approach is required.

Setting PEEP to target optimal compliance can overcome these pitfalls. When an increase in PEEP benefits any patient, functional lung units are recruited and compliance increases. If an increase in PEEP is unhelpful, few functional units will be recruited and compliance will remain unchanged or decrease, even though the P:F ratio may still increase. In the modern ICU, compliance is easily determined. The least-squares fit procedure determines breath-to-breath dynamic respiratory compliance from the monitored airway pressure, volume and flow [12], without an end inspiratory breath hold. In the absence of real-time dynamic compliance, using PEEP to optimize driving pressure may be a suitable surrogate. In spontaneously breathing patients, reliable compliance measurements can be provided with modes like proportional assist ventilation [13].

Using these real-time compliance measures, PEEP can be titrated upward or downward, and the effect on compliance observed [14]. If compliance increases, the new PEEP is more optimal, and if compliance decreases, the new PEEP is either too high or too low. When compliance is unchanged after titrating PEEP upward, a clinical judgment on the likelihood of recruiting functional lung units with higher PEEP is required. The clinician’s goal should be achieving the highest possible compliance with the lowest possible PEEP, rather than a specific compliance target, since this will vary from patient-to-patient and is sensitive to other commonly used ventilator settings. Optimizing PEEP in this manner also reduces dead-space ventilation, and while this is a more complex bedside measurement, the ventilatory ratio closely corresponds and can be simply tracked [15], helping confirm whether the new PEEP is more optimal.

Prescribing PEEP based on oxygen requirements is a “one-size-fits-all” approach, destined to help some patients, while exposing others to harm. Alternatively, using modern monitoring tools to optimize PEEP based on measures of pulmonary physiology, such as compliance, allows clinicians to better personalize ventilator settings to help all patients. Although we still lack high-quality clinical trials demonstrating that setting PEEP based on respiratory compliance measures is superior to using measures of oxygenation, we hypothesize that future ARDS management strategies which optimize PEEP based on patient physiology, while observing threshold limits for variables like plateau pressure and driving pressure, will further improve outcomes for all ARDS patients.

Availability of data and materials

Not applicable.


  1. ARDS Network. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. The Acute Respiratory Distress Syndrome Network. NEJM. 2000;342:1301–8.

  2. Brower RG, Lanken PN, MacIntyre N, Matthay MA, Morris A, Ancukiewicz M, et al. Higher versus lower positive end-expiratory pressures in patients with the acute respiratory distress syndrome. NEJM. 2004;351:327–36.

    Article  Google Scholar 

  3. Meade MO, Cook DJ, Guyatt GH, Slutsky AS, Arabi YM, Cooper DJ, et al. Ventilation strategy using low tidal volumes, recruitment maneuvers, and high positive end-expiratory pressure for acute lung injury and acute respiratory distress syndrome: a randomized controlled trial. JAMA. 2008;299:637–45.

    CAS  Article  Google Scholar 

  4. Mercat A, Richard J-CM, Vielle B, Jaber S, Osman D, Diehl J-L, et al. Positive end-expiratory pressure setting in adults with acute lung injury and acute respiratory distress syndrome: a randomized controlled trial. JAMA. 2008;299:646–55.

    CAS  Article  Google Scholar 

  5. Cavalcanti AB, Suzumura ÉA, Laranjeira LN, Paisani DDM, Damiani LP, et al. Effect of lung recruitment and titrated positive end-expiratory pressure (PEEP) vs low PEEP on mortality in patients with acute respiratory distress syndrome. JAMA. 2017;318:1335–11.

    Article  Google Scholar 

  6. Beitler JR, Sarge T, Banner-Goodspeed VM, Gong MN, Cook D, Novack V, et al. Effect of titrating positive end-expiratory pressure (PEEP) with an esophageal pressure-guided strategy vs an empirical high PEEP-Fio2 strategy on death and days free from mechanical ventilation among patients with acute respiratory distress syndrome. JAMA. 2019;321:846–57.

    Article  Google Scholar 

  7. Panwar R, Madotto F, Laffey JG, van Haren FMP. Compliance phenotypes in early acute respiratory distress syndrome before the COVID-19 pandemic. Am J Resp Crit Care. 2020;202:1244–52.

    CAS  Article  Google Scholar 

  8. Collino F, Rapetti F, Vasques F, Maiolo G, Tonetti T, Romitti F, et al. Positive end-expiratory pressure and mechanical power. Anesthesiology. 2019;130:119–30.

    Article  Google Scholar 

  9. Huertas A, Montani D, Savale L, Pichon J, Tu L, Parent F, et al. Endothelial cell dysfunction: A major player in SARS-CoV-2 infection (COVID-19)? Eur Respir J. 2020;56:2001634.

    CAS  Article  Google Scholar 

  10. Calfee CS, Delucchi K, Parsons PE, Thompson BT, Ware LB, Matthay MA, et al. Subphenotypes in acute respiratory distress syndrome: latent class analysis of data from two randomised controlled trials. Lancet Respir Med. 2014;2:611–20.

    Article  Google Scholar 

  11. Çoruh B, Luks AM. Positive end-expiratory pressure. When more may not be better. Ann Am Thorac Soc. 2014;11:1327–31.

    Article  Google Scholar 

  12. Szlavecz A, Chiew YS, Redmond D, Beatson A, Glassenbury D, Corbett S, et al. The clinical utilisation of respiratory elastance software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management. Biomed Eng Online. 2014;13:140.

    Article  Google Scholar 

  13. Younes M, Webster K, Kun J, Roberts D, Masiowski B. A method for measuring passive elastance during proportional assist ventilation. Am J Resp Crit Care. 2001;164:50–60.

    CAS  Article  Google Scholar 

  14. Rezoagli E, Bellani G. How I set up positive end expiratory pressure: evidence and physiology based! Crit Care. 2019;23:412.

    Article  Google Scholar 

  15. Sinha P, Calfee CS, Beitler JR, Soni N, Ho K, Matthay MA, et al. Physiologic analysis and clinical performance of the ventilatory ratio in acute respiratory distress syndrome. Am J Resp Crit Care. 2019;199:333–41.

    Article  Google Scholar 

Download references


Nil to note.


MEC has received consulting fees from Medtronic and Baxter and is supported by a National Medical Research Council Grants (CIA18nov-0010 and CSAINV20nov-0014). MRP has received consulting fees from Baxter, LiDCO and Exostat Medical.

Author information

Authors and Affiliations



MEC, MRP and JJM conceived the idea and edited the manuscript. MEC wrote the first draft. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Matthew E. Cove.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Cove, M.E., Pinsky, M.R. & Marini, J.J. Are we ready to think differently about setting PEEP?. Crit Care 26, 222 (2022).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: