Predictive Value of the Disorders of Consciousness Scale (DOCS)

Theresa Louise Bender Pape*, Charlene Tang, Ann Guernon, Sandra Lundgren, Melanie Blahnik, Yongliang Wei, Melanie Querubin, Felise Zollman, Ileana Soneru

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Objective: To examine the predictive validity of measures of neurobehavioral change derived from the Disorders of Consciousness Scale (DOCS) for predicting return to consciousness 4, 8, and 12 months after severe brain injury (BI). Design: Prospective observational predictive validity study. Setting: Inpatient rehabilitation hospitals and postrehabilitation residence. Participants: A total of 113 persons with a mean age of 38 ± 17.8 years who were unconscious for >28 days consecutively after severe BI; 73% (83/113) with traumatic BI and 27% (30/113) with other BI. Independent Variables: Baseline DOCS, DOCS average, change from baseline DOCS to subsequent DOCS (DOCS2, DOCS3, DOCS4, DOCS5, DOCS6), and injury type (traumatic BI vs. other BI). Main Outcome Measure: Time to consciousness at 4, 8, and 12 months after injury. Results: When controlling for injury type, the DOCS average as well as DOCS change between the first and second DOCS (DOCS1-2), first and fifth DOCS (DOCS1-5) and first and last DOCS (DOCStotalchg) significantly (P ≤ .05) contributed to predicting recovery and lack of recovery of consciousness at 4, 8, and/or 12 months after injury. DOCS1-5 manifested the most balanced accuracy in predictions, where predicting recovery of consciousness is accurate 87% of the time and predicting lack of recovery of consciousness is accurate 88% of the time. Conclusion: For persons with prolonged disorders of consciousness, the findings indicate that evidence-based prognostication for individual patients is possible. The implications for research are that the DOCS can be used as a meaningful, reliable, and valid primary outcome to measure treatment effects in clinical trials. The evidence indicates further that DOCS measures merit inclusion in future research that aims to develop multivariate prognostication models.

Original languageEnglish (US)
Pages (from-to)152-161
Number of pages10
JournalPM and R
Volume1
Issue number2
DOIs
StatePublished - Feb 2009

Funding

This material is based upon work supported by the Department of Veterans Affairs, Veterans Health Administration, Office of Research and Development Rehabilitation Research and Development Service and Health Services Research and Development Service through a HSR&D merit grant (Grant No. CCN-07-133); a RR&D advanced research career development award (Grant No. B4951-R); and a RR&D career development transition award (Grant No. B4949N). Funding also was provided by the Nick Kot Charity, nfp. In kind-contributions from Marianjoy Rehabilitation Hospital, the Minneapolis VA Medical Center, the Hines VA Hospital, and the Rehabilitation Institute of Chicago also support the work described in this article. The views expressed in this article are those of the authors and do not necessarily reflect the position or policy of the Department of Veterans Affairs or the United States government. Original research

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Rehabilitation
  • Physical Therapy, Sports Therapy and Rehabilitation

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