Prognosis and recovery trajectories in prolonged disorders of consciousness: protocol for the PDOCC 5-year prospective cohort study - Scorecard - MDSpire

Prognosis and recovery trajectories in prolonged disorders of consciousness: protocol for the PDOCC 5-year prospective cohort study

  • By

  • Hanbo Chen

  • Yong Luo

  • Weifeng Wen

  • Yunhong Deng

  • Zeyue Wen

  • Shujuan Huang

  • Li Qin

  • Si Chen

  • Xiao Lu

  • July 13, 2026

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Clinical Scorecard: Outcomes and Recovery Patterns in Extended Disorders of Consciousness: A Protocol for the 5-Year PDOCC Prospective Cohort Investigation

At a Glance

CategoryDetail
ConditionProlonged Disorders of Consciousness (pDoC)
Key MechanismsVegetative state (VS) and minimally conscious state (MCS) resulting from severe acquired brain injury.
Target PopulationPatients aged 18–80 with pDoC (VS or MCS ≥ 28 days post-brain injury).
Care SettingSingle-center, prospective cohort study in a hospital setting.

Key Highlights

  • Investigation of 5-year disease trajectories in 1,000 patients.
  • Incorporation of standardized clinical assessments and neuroimaging.
  • Focus on consciousness recovery, all-cause mortality, and major cardiovascular events.
  • Use of competing-risk models to enhance prognostic accuracy.
  • Development of multimodal prognostic prediction models.

Guideline-Based Recommendations

Diagnosis

  • Utilize standardized clinical assessments (CRS-R, GOS-E, DRS) for diagnosis.

Management

  • Implement multimodal assessment strategies for individualized rehabilitation.

Monitoring & Follow-up

  • Conduct follow-up assessments at multiple time points (3, 6, 12, 24, 36, 48, and 60 months).

Risks

  • Account for competing risks such as mortality in statistical models.

Patient & Prescribing Data

Patients with prolonged disorders of consciousness due to traumatic and non-traumatic brain injuries.

Focus on rehabilitation decision-making informed by prognostic models.

Clinical Best Practices

  • Standardize multimodal assessment protocols.
  • Incorporate neuroimaging and biomarkers in prognostic evaluations.
  • Utilize competing-risk analysis in outcome assessments.

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