Respiratory failure
Measurement, hypercapnia, and care after hospitalization.
Brian W. Locke, MD, MSCI
Assistant Professor of Research, Intermountain Health
Pulmonary and Critical Care Physician
Advisor, MTN · Adaptive healthcare data integration
I study how health systems recognize, evaluate, and manage respiratory failure, from physiologic measurement through care after hospitalization.
About
I practice in the Shock Trauma ICU and Schmidt Chest Clinic and serve as core faculty in the University of Utah Pulmonary and Critical Care Fellowship.
My research examines how respiratory failure is recognized, measured, and managed across health systems, with particular emphasis on hypercapnic respiratory failure and care after hospitalization. I use linked EHR and claims data, computable phenotypes, clinical prediction, causal inference, and pragmatic trials, and develop reproducible analytical tools in Stata, R, and Python.
Separately from my role at Intermountain Health, my work with MTN focuses on clinical evidence and healthcare applications of adaptive data integration.
Research themes
Evidence and prediction
Diagnostic reasoning, clinical prediction, and causal methods.
Research infrastructure
Linked clinical data, reproducible analysis, and pragmatic trials.
Explore research on Hypercapnic Respiratory Failure and Respiratory Measurement.
Selected work
Recent publications that represent the breadth of the current research program.
Post-Acute Ventilator Weaning and Discharge Outcomes in Individuals With Cervical Spinal Cord Injury
A retrospective cohort analysis of ventilator weaning and discharge outcomes after cervical spinal cord injury.
The Consistency of Hypercapnic Respiratory Failure Case Definitions in Electronic Health Record Data
A comparison of reproducible EHR definitions for identifying hypercapnic respiratory failure.
Diagnostic Modeling to Identify Unrecognized Inpatient Hypercapnia Using Health Record Data
A health-record model for identifying inpatient hypercapnia that may otherwise go unrecognized.
The association of weight loss from anti-obesity medications or bariatric surgery and apnea-hypopnea index in obstructive sleep apnea
A systematic review and meta-regression relating weight loss to change in sleep-apnea severity.
Immersive Virtual Reality Use in Medical Intensive Care: Mixed Methods Feasibility Study
A mixed-methods evaluation of immersive virtual reality among medical intensive-care patients.
View selected work, browse all publications, or read the public curriculum vitae.