Lara Brewer

Lara Brewer, PhD, MS

Languages spoken: English, German

Academic Information

Departments Primary - Anesthesiology

Research Interests

  • Clinical Decision Support Systems
  • Alarm Systems for Patient Monitoring
  • Modeling Gas Exchange
  • Cardiopulmonary Physiology
  • Pharmacodynamic Interactions

Dr. Lara Brewer is a Research Associate Professor at the University of Utah. She has research interests in the following areas: clinical decision support and alarm systems for patient monitoring, pharmacodynamic interactions, cardiopulmonary physiology and modeling gas exchange.

Education History

Doctoral Training University of Utah
 PhD
Graduate Training University of Utah
 MS
Undergraduate St. Olaf College
 BA

Selected Publications

Journal Article

  1. Addison PS, Brewer L, Sundar KM, Farney R, Smit P, Antunes A, Montgomery D (2026). Noncontact respiratory monitoring during sleep: comparison of the touchless flow signal with respiratory inductance plethysmography flow (RIP(flow)) signal to assess respiratory events. J Clin Sleep Med, 21(4), 713-721. (Read full article)
  2. Young ED, Ferguson SH, Brewer LM, Schiedermayer BF, Brown SM, Leither LM (2023). Using a novel in-mask non-invasive ventilator microphone to improve talker intelligibility in healthy and hospitalised adults. Int J Speech Lang Pathol, 26(6), 845-860. (Read full article)
  3. Addison PS, Brewer L, Sundar KM, Farney R, Smit P, Antunes A, Montgomery D (2024). Non-contact respiratory monitoring during sleep: comparison of the touchless flow signal with RIP(flow) signal to assess respiratory events. J Clin Sleep Med. (Read full article)
  4. Farney RJ, Johnson KB, Ermer SC, Orr JA, Egan TD, Morris AH, Brewer LM (2024). Quantified Ataxic Breathing Can Detect Opioid-Induced Respiratory Depression Earlier in Normal Volunteers Infused with Remifentanil. Anesth Analg. (Read full article)
  5. Liu Y, Zhang E, Jia X, Wu Y, Liu J, Brewer LM, Yu L (2023). Tracheal sound-based apnea detection using hidden Markov model in sedated volunteers and post anesthesia care unit patients. J Clin Monit Comput, 37(4), 1061-1070. (Read full article)
  6. Xiuzhu J, Yanan W, Jing L, Brewer L, Yu L (2023). Tracheal Sound-based Apnea Detection Using Hidden Markov Model in Sedated Volunteers and Post Anesthesia Care Unit Patients. Int J Clin Monit Comput, 1-10.
  7. Jiang Z, Liu Y, Zhang X, Ting CK, Wang X, Brewer LM, Yu L (2022). Response surface model comparison and combinations for remifentanil and propofol in describing response to esophageal instrumentation and adverse respiratory events. J Formos Med Assoc, 121(12), 2501-2511. (Read full article)
  8. He B, Li W, Zhang X, Wu Y, Liu J, Brewer LM, Yu L (2020). The Analysis of How Apnea Influences the Autonomic Nervous System Using Short-Term Heart Rate Variability Indices. J Healthc Eng, 2020, 6503715. (Read full article)
  9. Fogarty M, Orr JA, Sakata D, Brewer L, Johnson K, Fang JC, Kuck K (2019). A comparison of ventilation with a non-invasive ventilator versus standard O2 with a nasal cannula for colonoscopy with moderate sedation using propofol. J Clin Monit Comput, 34(6), 1215-1221. (Read full article)
  10. Ermer SC, Farney RJ, Johnson KB, Orr JA, Egan TD, Brewer LM (2020). An Automated Algorithm Incorporating Poincaré Analysis Can Quantify the Severity of Opioid-Induced Ataxic Breathing. Anesth Analg, 130(5), 1147-1156. (Read full article)
  11. Li H, Li E, Krishnamurthy D, Kolbay P, Chacin B, Hoehne S, Cybulski J, Brewer L, Petelenz T, Orr J, Sakata D, Clardy T, Kuck K, Prakash M (2020). Utah-Stanford Ventilator (Vent4US): Developing a rapidly scalable ventilator for COVID-19 patients with ARDS. doi:10.1101/2020.04.18.20070367.
  12. Ermer S, Brewer L, Orr J, Egan TD, Johnson K (2018). Comparison of 7 Different Sensors for Detecting Low Respiratory Rates Using a Single Breath Detection Algorithm in Nonintubated, Sedated Volunteers. Anesth Analg, 129(2), 399-408. (Read full article)
  13. Liu J, Ai C, Zhang B, Wang Y, Brewer LM, Ting CK, Huang D, Yu L (2018). Tracheal sounds accurately detect apnea in patients recovering from anesthesia. J Clin Monit Comput, 33(3), 437-444. (Read full article)
  14. McFarlane DC, Doig AK, Agutter JA, Brewer LM, Syroid ND, Mittu R (2018). Faster clinical response to the onset of adverse events: A wearable metacognitive attention aid for nurse triage of clinical alarms. PLoS One, 13(5), e0197157. (Read full article)
  15. Allen SG, Brewer L, Gillis ES, Pace NL, Sakata DJ, Orr JA (2017). A Turbine-Driven Ventilator Improves Adherence to Advanced Cardiac Life Support Guidelines During a Cardiopulmonary Resuscitation Simulation. Respir Care, 62(9), 1166-1170. (Read full article)
  16. McFarlane DC, Doig AK, Agutter JA, Mercurio JL, Mittu R, Brewer LM, Syroid ND (2016). Defeating Information Overload in Health Surveillance using a Metacognitive Aid Innovation from Military Combat Systems. Journal of Defense Modeling and Simulation. Journal of Defense Modeling and Simulation, 154851291666724.
  17. Naguib M, Brewer L, LaPierre C, Kopman AF, Johnson KB (2016). The Myth of Rescue Reversal in "Can't Intubate, Can't Ventilate" Scenarios. Anesth Analg, 123(1), 82-92. (Read full article)
  18. Patwari N, Brewer L, Tate Q, Kaltiokallio O, Bocca M (2013). Breathfinding: A Wireless Network that Monitors and Locates Breathing in a Home. IEEE J Sel Top Signal Process, PP(99).
  19. Yu L, Ting CK, Hill BE, Orr JA, Brewer LM, Johnson KB, Egan TD, Westenskow DR (2013). Using the entropy of tracheal sounds to detect apnea during sedation in healthy nonobese volunteers. Anesthesiology, 118(6), 1341-9. (Read full article)
  20. Brewer L, Orr J, Fulcher E, Markewitz B (2011). Evaluation of a CO2 partial rebreathing functional residual capacity measurement method for use during mechanical ventilation. J Clin Monit Comput, 25(6), 397-404. (Read full article)
  21. Brewer LM, Orr JA, Sherman MR, Fulcher EH, Markewitz BA (2011). Measurement of functional residual capacity by modified multiple breath nitrogen washout for spontaneously breathing and mechanically ventilated patients. Br J Anaesth, 107(5), 796-805. (Read full article)
  22. Brewer LM, Orr JA, Pace NL (2008). Anatomic dead space cannot be predicted by body weight. Respir Care, 53(7), 885-91. (Read full article)
  23. Brewer LM, Haryadi DG, Orr JA (2007). Measurement of functional residual capacity of the lung by partial CO2 rebreathing method during acute lung injury in animals. Respir Care, 52(11), 1480-9. (Read full article)

Book Chapter

  1. Johnson K, Brewer L, LaPierre C (2014). Consideration for the Induction of Anesthesia. In Ken B Johnson (Ed.), Clinical Pharmacology for Anesthesiology (1, p. 512). New York: McGraw-Hill Education Medical.

Editorial

  1. Tan J, Brewer L (2018). Data-driven Innovation and Technology in Anesthesia: Updates from the Society for Technology in Anesthesia Annual Meeting. Anesthesiology News Special Edition, 2018;suppl, 79-83.

Letter

  1. Orr JA, Kck K, Brewer LM (2003). Noninvasive cardiac output monitor algorithms are more sophisticated and perform better than indicated in modeling paper. [Letter to the editor]. Anesthesiology, 99(6), 1461-2; author reply 1462. (Read full article)
  2. Kck K, Orr JA, Brewer LM (2003). Noninvasive cardiac output performance improved after sufficient stabilization time following decrease of ventilation. [Letter to the editor]. Anesthesiology, 99(6), 1460; author reply 1460-1. (Read full article)