Dr. Martin Urner


Dr. Martin Urner

Academic Rank
Assistant Professor

Position Title

Medical/Professional Qualifications

University of Toronto, Interdepartmental Division of Critical Care Medicine
University of Toronto, Department of Anesthesiology & Pain Medicine
Department of Anesthesia and Pain Management, University Health Network, Toronto General Hospital

Martin Urner is an Assistant Professor in the Interdepartmental Division of Critical Care Medicine and the Department of Anesthesiology & Pain Medicine at the University of Toronto and a Staff Intensivist at the University Health Network. Dr. Urner graduated from the University of Zurich Medical School and completed his specialty training in Anesthesiology and Critical Care Medicine in Switzerland. His research work focuses on mechanical ventilation and extracorporeal life support using advanced methods for causal inference on large observational data.

Area of Academic Focus
ARDS, Mechanical ventilation, Extracorporeal life support, Causal inference, Longitudinal data analysis

Honours and Awards
Vanier Canada Graduate Scholarship (2018-2021)

Link to Pubmed
Link to Google Scholar

Most Significant Publications

  1. Urner M, Jüni P, Rojas-Saunero LP, Hansen B, Ferguson ND, Fan E. Limiting Dynamic Driving Pressure during Mechanical Ventilation in Patients with Acute Respiratory Failure. Crit Care Med. 2023. 51(7):861-871
  2. Wong IMJ, Ferguson ND, Urner M. Invasive Mechanical Ventilation. Intensive Care Med. 2023. 49:669-672.
  3. Urner M, Barnett AG, Li Bassi G, Brodie D, Dalton HJ, Ferguson ND, Heinsar S, Hodgson CL, Peek G, Shekar K, Suen JY, Fraser JF, Fan E. Venovenous Extracorporeal Membrane Oxygenation in Patients with Acute Respiratory Failure from COVID-19: A Comparative Effectiveness Study. BMJ. 2022; 377:e068723.
  4. Urner M, Jüni P, Hansen B, Wettstein MS, Ferguson ND, Fan E. Time-varying intensity of mechanical ventilation and mortality in patients with acute respiratory failure: a registry-based, prospective cohort study. The Lancet Respiratory Medicine. 2020; 8(9): 905-913.
  5. Urner M, Mitsakakis N, Vorona S, Chen L, Sklar MC, Dres M, Rubenfeld GD, Brochard LJ, Ferguson ND, Fan E, Goligher EC. Identifying subjects at risk for diaphragm atrophy during mechanical ventilation using routinely available clinical data. Respiratory Care. 2021; 66(4):551-558



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