Miriam Alpert1, Areg Grigorian2, John Scolaro3, James Learned3, Matthew Dolich2, Catherine M Kuza4, Michael Lekawa2, Jeffry Nahmias2. 1. Western University of Health Sciences, College of Osteopathic Medicine of the Pacific, 309 E. Second St, Pomona, CA, 91766, USA. 2. University of California, Department of Surgery, Division of Trauma, Burns and Surgical Critical Care, 333 the City Blvd West, Suite 1600, Orange, CA, 92868, USA. 3. University of California, Department of Orthopaedic Surgery, Division of Trauma, 101 the City Blvd South, Building 29A, Orange, CA, 92868, USA. 4. University of Southern California, Keck School of Medicine, Department of Anesthesiology, 1450 San Pablo St, Suite 3600, Los Angeles, CA, 90033, USA.
Abstract
OBJECTIVE: This study sought to provide a national, descriptive analysis to determine fat embolism syndrome (FES) risk factors, hypothesizing that femur fractures and multiple fractures are associated with an increased risk. METHODS: The Trauma Quality Improvement Program was queried (2010-2016) for patients with extremity fractures. A multivariable logistic regression analysis model was used. RESULTS: From 324,165 patients, 116 patients (0.04%) were diagnosed with FES. An age ≤30, closed femur fracture, and multiple long bone fractures were associated with an increased risk of FES. CONCLUSION: Future research to validate these findings and develop a clinical risk stratification tool appears warranted.
OBJECTIVE: This study sought to provide a national, descriptive analysis to determine fat embolism syndrome (FES) risk factors, hypothesizing that femur fractures and multiple fractures are associated with an increased risk. METHODS: The Trauma Quality Improvement Program was queried (2010-2016) for patients with extremity fractures. A multivariable logistic regression analysis model was used. RESULTS: From 324,165 patients, 116 patients (0.04%) were diagnosed with FES. An age ≤30, closed femur fracture, and multiple long bone fractures were associated with an increased risk of FES. CONCLUSION: Future research to validate these findings and develop a clinical risk stratification tool appears warranted.