To monitor the rehabilitation outcomes of patients hospitalized in the unit and examining the relationship between the type of injury, age, background diseases, and rehabilitation outcomes and to assess if predictions can be made based on CNCS scores.
Data of all patients admitted to the consciousness rehabilitation unit between January 1, 2016, and December 31, 2019 was collected. The data included: primary diagnosis, background diagnoses, demographics, length of stay and CNCS and FIM scores.
157 patients were admitted in this time period (85 post traumatic brain injury, 10 post anoxic damage, 57 post stroke, 5 with brain tumors). Hospitalization length in this unit was 163.02±101.9. Average age was 48.0±16.8, 109 males, 48 females. Average first CNCS score: 24.8±9.9 (2-40), performed 90±85.2 days post injury, CNCS prior to discharge (or from our hospital or to another rehabilitation department): 27.6±9.7performed 116.3±90.8 post injury. 81 were discharged to their homes, 28 to nursing institutions and 48 to acute care hospitals. Using a multinominal regression model we found that the CNCS prior to discharge predicts discharge destination (Pseudo R- square=0.287, p=0.42). The model has a 97% accuracy rate for home discharge, 26% accuracy rate for other hospital discharge and 0% accuracy rate for acute care hospital discharge.
Using CNCS can help detect minor changes in patients’ state and can help predict discharge destination and to understand which patients benefit from treatment.
CNCS should be used for these kinds of patients, more research should be conducted in order to understand why prediction was poor for acute care hospital discharge.
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rehabilitation
prediction
