Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2014 Feb 1;31(3):215-27.
doi: 10.1089/neu.2013.2982.

Spinal cord injury: how can we improve the classification and quantification of its severity and prognosis?

Affiliations
Review

Spinal cord injury: how can we improve the classification and quantification of its severity and prognosis?

Vibhor Krishna et al. J Neurotrauma. .

Abstract

The preservation of functional neural tissue after spinal cord injury (SCI) is the basis for spontaneous neurological recovery. Some injured patients in the acute phase have more potential for recovery than others. This fact is problematic for the construction of clinical trials because enrollment of subjects with variable recovery potential makes it difficult to detect effects, requires large sample sizes, and risks Type II errors. In addition, the current methods to assess injury and recovery are non-quantitative and not sensitive. It is likely that therapeutic combinations will be necessary to cause substantially improved function after SCI, thus we need highly sensitive techniques to evaluate changes in motor, sensory, autonomic and other functions. We review several emerging neurophysiological techniques with high sensitivity. Quantitative methods to evaluate residual tissue sparing after severe acute SCI have not entered widespread clinical use. This reduces the ability to correlate structural preservation with clinical outcome following SCI resulting in enrollment of subjects with varying patterns of tissue preservation and injury into clinical trials. We propose that the inclusion of additional measures of injury severity, pattern, and individual genetic characteristics may enable stratification in clinical trials to make the testing of therapeutic interventions more effective and efficient. New imaging techniques to assess tract injury and demyelination and methods to quantify tissue injury, inflammatory markers, and neuroglial biochemical changes may improve the evaluation of injury severity, and the correlation with neurological outcome, and measure the effects of treatment more robustly than is currently possible. The ability to test such a multimodality approach will require a high degree of collaboration between clinical and research centers and government research support. When the most informative of these assessments is determined, it may be possible to identify patients with substantial recovery potential, improve selection criteria and conduct more efficient clinical trials.

PubMed Disclaimer

Figures

<b>FIG. 1.</b>
FIG. 1.
Pictorial depiction of multiple modalities for pathogenesis-based severity assessment after acute spinal cord injury. Derived from Savic and colleagues (2007); Dray and colleagues (2009); Chang and colleagues (2010); Iyer and colleagues (2010); and Farrar and colleagues (2011), with permission of the publishers. Color image is available online at www.liebertpub.com/neu

Similar articles

Cited by

References

    1. Fehlings M.G. and Tator C.H. (1995). The relationships among the severity of spinal cord injury, residual neurological function, axon counts, and counts of retrogradely labeled neurons after experimental spinal cord injury. Exp. Neurol. 132, 220–228 - PubMed
    1. Ronning P.A., Pedersen T., Skaga N.O., Helseth E., Langmoen I.A., and Stavem K. (2011). External validation of a prognostic model for early mortality after traumatic brain injury. J. Trauma 70, E56–61 - PubMed
    1. Yuan F., Ding J., Chen H., Guo Y., Wang G., Gao W.W., Chen S.W., and Tian H. (2012). Predicting outcomes after traumatic brain injury: the development and validation of prognostic models based on admission characteristics. J. Trauma Acute Care Surg. 73, 137–145 - PubMed
    1. Basser P.J., Pajevic S., Pierpaoli C., Duda J., and Aldroubi A. (2000). In vivo fiber tractography using DT-MRI data. Magn. Reson. Med. 44, 625–632 - PubMed
    1. Basso D.M., Beattie M.S., and Bresnahan J.C. (1996). Graded histological and locomotor outcomes after spinal cord contusion using the NYU weight-drop device versus transection. Exp. Neurol. 139, 244–256 - PubMed

Publication types