Keywords: Spinal Cord Injury, Epidemiology, Time Trend, Cross Sectional Study, Longitudinal Study, Intramedullary Lesion LengthĭBA‐02 LONG TERM PROGNOSIS OF SEVERE TRAUMATIC BRAIN INJURED PATIENTS USING ACUTE PHASE NEUROPHYSIOLOGY TESTING The time trend for motor score was no longer significant following adjustment.
Time trends for age, MVC, and complete injury remained significant and in the same direction following adjustment for other factors. For each factor that significantly increased or decreased during the study period, we tested the time trend, adjusting for all other factors.
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To determine whether the observed changes were independent of one another, we ran a series of regression models. Mean IMLL and proportion of injuries with hematomyelia did not change significantly during this period. These observed changes were not due to a change in referral patterns to University of Maryland, which remained steady during the study period (p for trend = 0.8). From 2001 to 2018, the proportion of cervical SCIs caused by MVCs and the proportion of complete injuries decreased notably while age and motor score increased. Mean IMLL was 36.7 mm, and 35.8 percent of patients had evidence of hematomyelia on the admission MRI. Close to 30 percent of injuries were complete (AIS grade A), and mean ASIA motor score was 45.3. Miscellaneous causes were noted in 7.5 percent of patients. Injury mechanism in 47.3 percent was due to falls, 33.6 percent due to motor vehicle collisions (MVCs), and 11.6 percent sport injuries. In this study, 78.7 percent of patients were male. During this period the incidence of cervical SCI in the state of Maryland did not change significantly. The demographics, injury mechanism, AIS grade, ASIA motor score, intramedullary lesion length (IMLL), and hematomyelia on the admission MRI of 1251 patients who were admitted to the Shock Trauma Center with cervical SCI were analyzed for time trend change over an 18‐year period. University of Maryland School of Medicine, Neurosurgery, Baltimore, USAĬross‐sectional analysis of longitudinal data from Spinal Cord Injury Model Systems during the past 40 years analyzing over 30,000 traumatic spinal cord injuries (SCIs) have indicated that patients with SCI are getting older and the proportion of falls and incomplete SCI is increasing. DBA‐01 SIGNIFICANT EPIDEMIOLOGICAL CHANGES IN CERVICAL SPINAL CORD INJURIES IN THE STATE OF MARYLAND OVER AN 18‐YEAR PERIODīizhan Aarabi, Jennifer Albrecht, Kathirkamanathan Shanmuganathan, Benjamin Howie, Pallavi Atluri
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