Skip to main content

Advertisement

Log in

Burst Suppression: Causes and Effects on Mortality in Critical Illness

  • Original Work
  • Published:
Neurocritical Care Aims and scope Submit manuscript

Abstract

Background

Burst suppression in mechanically ventilated intensive care unit (ICU) patients is associated with increased mortality. However, the relative contributions of propofol use and critical illness itself to burst suppression; of burst suppression, propofol, and critical illness to mortality; and whether preventing burst suppression might reduce mortality, have not been quantified.

Methods

The dataset contains 471 adults from seven ICUs, after excluding anoxic encephalopathy due to cardiac arrest or intentional burst suppression for therapeutic reasons. We used multiple prediction and causal inference methods to estimate the effects connecting burst suppression, propofol, critical illness, and in-hospital mortality in an observational retrospective study. We also estimated the effects mediated by burst suppression. Sensitivity analysis was used to assess for unmeasured confounding.

Results

The expected outcomes in a “counterfactual” randomized controlled trial (cRCT) that assigned patients to mild versus severe illness are expected to show a difference in burst suppression burden of 39%, 95% CI [8–66]%, and in mortality of 35% [29–41]%. Assigning patients to maximal (100%) burst suppression burden is expected to increase mortality by 12% [7–17]% compared to 0% burden. Burst suppression mediates 10% [2–21]% of the effect of critical illness on mortality. A high cumulative propofol dose (1316 mg/kg) is expected to increase burst suppression burden by 6% [0.8–12]% compared to a low dose (284 mg/kg). Propofol exposure has no significant direct effect on mortality; its effect is entirely mediated through burst suppression.

Conclusions

Our analysis clarifies how important factors contribute to mortality in ICU patients. Burst suppression appears to contribute to mortality but is primarily an effect of critical illness rather than iatrogenic use of propofol.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Code Availability

Code for the algorithm development, evaluation, and statistical analysis is open source with no restrictions and is available from https://github.com/mghcdac/burst_suppression_causal_inference.

References

  1. Watson PL, Shintani AK, Tyson R, Pandharipande PP, Pun BT, Ely EW. Presence of electroencephalogram burst suppression in sedated, critically ill patients is associated with increased mortality. Crit Care Med. 2008;36:3171.

    Article  Google Scholar 

  2. Andresen JM, Girard TD, Pandharipande PP, Davidson MA, Ely EW, Watson PL. Burst suppression on processed electroencephalography as a predictor of post-coma delirium in mechanically ventilated ICU patients. Crit Care Med. 2014;42:2244.

    Article  Google Scholar 

  3. Hernán MA, Robins JM. Causal inference. Boca Raton: Chapman & Hall/CRC; 2019.

    Google Scholar 

  4. Pearl J. Causality. Cambridge: Cambridge University Press; 2009.

    Book  Google Scholar 

  5. VanderWeele TJ. A unification of mediation and interaction: a four-way decomposition. Epidemiology (Cambridge, Mass). 2014;25:749.

    Article  Google Scholar 

  6. VanderWeele TJ, Ding P. Sensitivity analysis in observational research: introducing the E-value. Ann Intern Med. 2017;167:268–74.

    Article  Google Scholar 

  7. Lederer DJ, Bell SC, Branson RD, et al. Control of confounding and reporting of results in causal inference studies. Guidance for authors from editors of respiratory, sleep, and critical care journals. Ann Am Thorac Soc. 2019;16:22–8.

    Article  Google Scholar 

  8. Hirsch L, LaRoche S, Gaspard N, et al. American clinical neurophysiology society’s standardized critical care EEG terminology: 2012 version. J Clin Neurophysiol. 2013;30:1–27.

    Article  CAS  Google Scholar 

  9. Chipman HA, George EI, McCulloch RE. BART: Bayesian additive regression trees. Ann Appl Stat. 2010;4:266–98.

    Article  Google Scholar 

  10. Olson HE, Kelly M, LaCoursiere CM, et al. Genetics and genotype–phenotype correlations in early onset epileptic encephalopathy with burst suppression. Ann Neurol. 2017;81:419–29.

    Article  CAS  Google Scholar 

  11. Polito A, Eischwald F, Le Maho A-L, et al. Pattern of brain injury in the acute setting of human septic shock. Crit Care. 2013;17:R204.

    Article  Google Scholar 

  12. Hosokawa K, Gaspard N, Su F, Oddo M, Vincent J-L, Taccone FS. Clinical neurophysiological assessment of sepsis-associated brain dysfunction: a systematic review. Crit Care. 2014;18:674.

    Article  Google Scholar 

  13. Wildes TS, Mickle AM, Abdallah AB, et al. Effect of electroencephalography-guided anesthetic administration on postoperative delirium among older adults undergoing major surgery: the engages randomized clinical trial. JAMA. 2019;321:473–83.

    Article  Google Scholar 

Download references

Funding

This work was supported by NIH-NINDS (1K23NS090900, 1R01NS102190, 1R01NS102574, 1R01NS107291) to MBW. This work was supported by SAGE Therapeutics to MBW, SZ, and ESR.

Author information

Authors and Affiliations

Authors

Contributions

HS, JH, HAN, MBW contributed to data analysis; HAN, JJ, JH, MT, FJ, SK, EB, JG, VMJ, MG, YS, MME, MS, and MBW contributed to data collection; JH, HS, HAN, SZ, and MBW contributed to study design; JH, HS, SZ, and MBW contributed to drafting initial manuscript; all co-authors contributed to manuscript revision.

Corresponding author

Correspondence to M. Brandon Westover.

Ethics declarations

Conflict of interest

The authors have disclosed that they do not have any competing interests.

Ethical approval/Informed consent

We confirm adherence to ethical guidelines and indicate ethical approvals (IRB) and use of informed consent.

Additional information

Publisher's Note

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

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 121 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hogan, J., Sun, H., Aboul Nour, H. et al. Burst Suppression: Causes and Effects on Mortality in Critical Illness. Neurocrit Care 33, 565–574 (2020). https://doi.org/10.1007/s12028-020-00932-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12028-020-00932-4

Keywords

Navigation