Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 57 min ago
Peer-reviewedCC BY-NC-ND 4.0BMC Neurology

Early changes in consciousness after severe brain injury: diagnostic accuracy and patient characteristics

5 affiliations
  1. 1Institute for Neurorehabilitation Research, BDH-Klinik Hessisch Oldendorf, Hessisch Oldendorf, Germany
  2. 2Department of Neurosurgery, Hannover Medical School, Hannover, Germany
  3. 3Department of Rehabilitation and Sports Medicine, Hannover Medical School, Hannover, Germany
  4. 4Department of Neurology, Hannover Medical School, Hannover, Germany
  5. 5BDH-Klinik Elzach, Elzach, Germany

Abstract

Background: An accurate classification of the level of consciousness is essential across all phases of treatment in patients with severe brain injury, as it directly informs therapeutic decisions and prognostic evaluations. However, differentiating disorders of consciousness (DoC) in clinical practice is challenging and associated with a high risk of misdiagnosis, particularly when based on a single assessment.

Aim: This study evaluated the diagnostic accuracy of a single Coma Recovery Scale-Revised (CRS-R) assessment, misdiagnosis rates, and the clinical profile of patients with DoC during early rehabilitation.

Methods: In this observational study, 213 patients with severe acquired brain injury were consecutively enrolled. The level of consciousness was assessed with the CRS-R at weeks 2, 4, 8, and 12, and at discharge. For patients initially diagnosed with unresponsive wakefulness syndrome (UWS), a standardized protocol comprising three CRS-R assessments over two consecutive days was implemented.

Results: At week 2, 61 patients were classified as UWS on the initial CRS-R assessment. Of these, five (8.2%) were reclassified as MCS based on signs of consciousness observed during the second or third CRS-R assessment, and two additional patients (3.3%) were reclassified as MCS based on interdisciplinary clinical consensus despite being classified as UWS in all three CRS-R assessments. Thus, the final diagnostic classification comprised 54 patients (25.4%) with UWS, 92 (43.2%) with MCS, and 67 (31.5%) with non-DoC.

Conclusions: Given the challenges of detecting signs of consciousness, repeated CRS-R assessments combined with an interdisciplinary consensus-based diagnostic approach provide a feasible strategy to improve diagnostic accuracy in routine care.

Related

  1. Comparative diagnostic accuracy of PSMA-PET versus conventional imaging for Initial T/N/M staging of intermediate- to high-risk prostate cancer: a patient-level paired bivariate meta-analysis.
    Haowen Wu, Wei Zhang, Luchen Yang +3
    BMC cancerPeer-reviewedCC BY-NC-NDFull textGeneral medicineEurope PMC
  2. Diagnostic Accuracy of Amino Acid PET for Differentiating Tumor Recurrence or Progression from Treatment-Related Changes in Glioma Patients: A Systematic Review and Meta-Analysis.
    Małgorzata Podstawka, Anna Dębska, Natalia Koc +8
    CancersPeer-reviewedCC BYFull textHuman geneticsEurope PMC
  3. CT-Referenced Diagnostic Performance and Complementary Error Patterns of Artificial Intelligence Versus a Single Emergency Physician in Chest Radiograph Interpretation: A Retrospective Paired Diagnostic Accuracy Study
    Ömer Damar, Mahmut Yaman
    TomographyPeer-reviewedCC BYFull textMedical imaging & radiologyEurope PMC
  4. Diagnostic accuracy of the appendicitis inflammatory response (AIR) score for acute appendicitis during pregnancy: A systematic review and diagnostic meta-analysis
    Yasaman Tavakoli, Behdad Ghanami, Azad Alimohammadi +1
    Surgery in practice and sciencePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. Beyond diagnostic accuracy: defining the role of tongue swabs in decentralised tuberculosis screening
    Shannon Bosman, Douglas Wilson
    The Lancet Global HealthPeer-reviewedCC BY-NC-ND 4.0Infectious diseaseCrossref
BibTeX
@article{boltzmann2026early,
  title = {{Early changes in consciousness after severe brain injury: diagnostic accuracy and patient characteristics}},
  author = {Melanie Boltzmann and Simone B. Jenner and Joachim K. Krauss and Uwe Tegtbur and Aiden Haghikia and Christian Weimar and Jens D. Rollnik},
  journal = {BMC Neurology},
  year = {2026},
  month = oct,
  doi = {10.1186/s12883-026-05566-1},
  url = {https://doi.org/10.1186/s12883-026-05566-1},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Early changes in consciousness after severe brain injury: diagnostic accuracy and patient characteristics
AU  - Melanie Boltzmann
AU  - Simone B. Jenner
AU  - Joachim K. Krauss
AU  - Uwe Tegtbur
AU  - Aiden Haghikia
AU  - Christian Weimar
AU  - Jens D. Rollnik
PY  - 2026
DA  - 2026/10/27
JO  - BMC Neurology
DO  - 10.1186/s12883-026-05566-1
UR  - https://doi.org/10.1186/s12883-026-05566-1
AB  - Background: An accurate classification of the level of consciousness is essential across all phases of treatment in patients with severe brain injury, as it directly informs therapeutic decisions and prognostic evaluations. However, differentiating disorders of consciousness (DoC) in clinical practice is challenging and associated with a high risk of misdiagnosis, particularly when based on a single assessment.  Aim: This study evaluated the diagnostic accuracy of a single Coma Recovery Scale-Revised (CRS-R) assessment, misdiagnosis rates, and the clinical profile of patients with DoC during early rehabilitation.  Methods: In this observational study, 213 patients with severe acquired brain injury were consecutively enrolled. The level of consciousness was assessed with the CRS-R at weeks 2, 4, 8, and 12, and at discharge. For patients initially diagnosed with unresponsive wakefulness syndrome (UWS), a standardized protocol comprising three CRS-R assessments over two consecutive days was implemented.  Results: At week 2, 61 patients were classified as UWS on the initial CRS-R assessment. Of these, five (8.2%) were reclassified as MCS based on signs of consciousness observed during the second or third CRS-R assessment, and two additional patients (3.3%) were reclassified as MCS based on interdisciplinary clinical consensus despite being classified as UWS in all three CRS-R assessments. Thus, the final diagnostic classification comprised 54 patients (25.4%) with UWS, 92 (43.2%) with MCS, and 67 (31.5%) with non-DoC.  Conclusions: Given the challenges of detecting signs of consciousness, repeated CRS-R assessments combined with an interdisciplinary consensus-based diagnostic approach provide a feasible strategy to improve diagnostic accuracy in routine care.
SN  - 1471-2377
ER  -