Using Risk Scores to Estimate Lower Extremity Fragility Fracture Risk among Individuals with Chronic Spinal Cord Injury: A Preliminary Model.

Autor:	Craven BC; KITE Research Institute, University Health Network. Toronto, ON, Canada.; Department of Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.; Department of Kinesiology and Health Science, University of Waterloo, Waterloo, ON, Canada.; Rehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.; Institute of Health Policy Management and Evaluation, University of Toronto, Toronto, ON, Canada., Giangregorio LM; KITE Research Institute, University Health Network. Toronto, ON, Canada.; Department of Kinesiology and Health Science, University of Waterloo, Waterloo, ON, Canada., Côté I; CIUSSSCN - Institut de Réadaptation en Déficience Physique de Québec, Canada., Blencowe L; KITE Research Institute, University Health Network. Toronto, ON, Canada., Miyatani M; KITE Research Institute, University Health Network. Toronto, ON, Canada., Alavinia M; KITE Research Institute, University Health Network. Toronto, ON, Canada.
Jazyk:	angličtina
Zdroj:	Topics in spinal cord injury rehabilitation [Top Spinal Cord Inj Rehabil] 2023 Fall; Vol. 29 (Suppl), pp. 112-113. Date of Electronic Publication: 2023 Nov 17.
DOI:	10.46292/sci23-00063S
Abstrakt:	Objectives: To develop SCI-FX, a risk score to estimate 5-year lower extremity fragility fracture risk among patients living with chronic spinal cord injury (cSCI). Methods: Adults with traumatic cSCI ( n = 90) participated in a 2-year prospective longitudinal cohort study describing bone mineral density (BMD) change and fracture incidence conducted at the Lyndhurst Centre (University Health Network), University of Waterloo, and Physical Disability Rehabilitation Institute of Québec City. Prior publication and clinical intuition were used to identify fragility fracture risk factors including prior fragility fracture, years post-injury, motor complete injury (AIS A/B), benzodiazepine use, opioid use, and parental osteoporosis. We conducted bivariate analyses to identify variables associated with fracture. Multiple logistic regressions were performed using fragility fracture incidence as the dependent variable and all variables from the univariate analyses with a highly liberal p value at 0.2. Using the odds ratios (ORs) from the multiple logistic regression model, a point system for fragility fracture risk score was developed, and the odds of fracture for each point was estimated. Results: All initial variables, with the exception of benzodiazepine exposure, were included in the final model. Conclusion: We identified a simple preliminary model for clinicians to estimate 5-year fracture risk among patients with cSCI based on their total score. Competing Interests: Conflicts of Interest Dr. Craven reports grants from the Canadian Institutes of Health Research (CIHR), Ontario Ministry of Health, Paralyzed Veterans of America, Craig H. Nielsen Foundation, and Praxis Spinal Cord Institute during the conduct of the study. Dr. Craven acknowledges funding from the Toronto Rehabilitation Institute and UHNRMA AFP Innovation funds. She acknowledges support from the UHN foundation at the University of Toronto/Toronto Rehabilitation Institute Chair in Spinal Cord Injury Rehabilitation. Dr. Alavinia, Dr. Giangregorio, Dr. Miyatani, and Lindsie Blencowe report no conflicts of interest. (© 2023 American Spinal Injury Association.)
Databáze:	MEDLINE
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