Journal:Archives of Physical Medicine and Rehabilitation
Year, Volume, Issue, Page(s):10, 91, 10, 1495-1504
Article describes the development of a prediction rule for identifying patients at risk for extended rehabilitation length of stay (LOS) after traumatic brain injury (TBI) using demographic and injury characteristics. Extended rehabilitation LOS was defined as 67 days or longer. Data were obtained from 7,284 TBI survivors enrolled in the TBI Model Systems program with injuries occurring between 1999 and 2009. A multivariable model was built containing Functional Independence Measure motor and cognitive scores at admission, pre-injury level of education, cause of injury, punctate/petechial hemorrhage, acute-care LOS, and primary payor source. The model had good calibration, excellent discrimination, and validated well. Based on this model, a formula for determining the probability of extended rehabilitation LOS and a prediction rule that classifies patients with predicted probabilities greater than 4.9 percent as at risk for extended rehabilitation LOS were developed.