Identification of Classes of Functioning Trajectories and Their Predictors in Individuals With Spinal Cord Injury Attending Initial Rehabilitation in Switzerland.
Jsabel Hodel, Cristina Ehrmann, Anke Scheel-Sailer and 3 others
PMID 34179757WHAT IT FOUND
Most people with new spinal cord injury in Switzerland fell into one of four recovery patterns.
Higher age, tetraplegia, complete injury, and needing ventilation predicted a slower or lower-functioning trajectory. This helps clinicians identify who may need more support early.
Key findings
01Four distinct classes of functioning trajectories were identified: stable high functioning (41.04%), early functioning improvement (5.21%), moderate functioning improvement (38.37%), and slow functioning improvement (15.37%).
02Higher age, pulmonary complications, and needing ventilation assistance were associated with being in the slow functioning improvement class rather than others.
03Having paraplegia and an incomplete injury increased the likelihood of being in the stable high, early improvement, or moderate improvement classes compared to the slow improvement class.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The study used existing data, so the timing and number of assessments varied between patients, with many having only two data points. The SCIM III measures independence in daily activities but does not capture broader participation restrictions or quality of life. The results are from specialized centers in Switzerland, so they may not generalize to rehabilitation systems in other countries. The 'slow improvement' class was small and heterogeneous, meaning it might actually contain different subgroups of recovery that were not separated due to sample size. The analysis did not account for classification errors in the statistical models, which might underestimate the true effects of the predictors.
Declared interests
No specific conflicts of interest or funding sources are detailed in the provided text beyond the mention of the SwiSCI study ethics approval.
The easy way to misread this
Do not use these findings to predict an individual patient's exact outcome. These are population-level patterns based on statistical clustering. The 'slow improvement' group is heterogeneous, and individual recovery can vary significantly from the class average.