• Dan Banaszek, Tom Inglis, Travis E Marion, Raphaële Charest-Morin, Eryck Moskven, Carly S Rivers, Dilnur Kurban, Alana M Flexman, Tamir Ailon, Nicolas Dea, Brian K Kwon, Scott Paquette, Charles G Fisher, Marcel F Dvorak, and John T Street.
• Vancouver Spine Surgery Institute, Department of Orthopaedics, University of British Columbia, Vancouver, British Columbia, Canada.
• J. Neurotrauma. 2020 Mar 15; 37 (6): 839-845.

AbstractFrailty negatively affects outcome in elective spine surgery populations. This study sought to determine the effect of frailty on patient outcome after traumatic spinal cord injury (tSCI). Patients with tSCI were identified from our prospectively collected database from 2004 to 2016. We examined effect of patient age, admission Total Motor Score (TMS), and Modified Frailty Index (mFI) on adverse events (AEs), acute length of stay (LOS), in-hospital mortality, and discharge destination (home vs. other). Subgroup analysis (for three age groups: <60, 61-75, and 76+ years), and multi-variable analysis was performed to investigate the impact of age, TMS, and mFI on outcome. For the 634 patients, the mean age was 50.3 years, 77% were male, and falls were the main cause of injury (46.5%). On bivariate analysis, mFI, age at injury, and TMS were predictors of AEs, acute LOS, and in-hospital mortality. After statistical adjustment, mFI was a predictor of LOS (p = 0.0375), but not of AEs (p = 0.1428) or in-hospital mortality (p = 0.1245). In patients <60 years of age, mFI predicted number of AEs, acute LOS, and in-hospital mortality. In those aged 61-75, TMS predicted AEs, LOS, and mortality. In those 76+ years of age, mFI no longer predicted outcome. Age, mFI, and TMS on admission are important determinants of outcome in patients with tSCI. mFI predicts outcomes in those <75 years of age only. The inter-relationship of advanced age and decreased physiological reserve is complex in acute tSCI, warranting further study. Identifying frailty in younger patients with tSCI may be useful for peri-operative optimization, risk stratification, and patient counseling.

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