Peripheral Nerve Stimulation for Prognostic and Diagnostic Biomarker Identification in Disorders of Consciousness
MICRO-DOC
Microneurography and Microneurostimulation for Prognosis and Rehabilitation of Disorders of Consciousness
1 other identifier
observational
28
1 country
1
Brief Summary
This observational study aims to integrate anamnestic, clinical, and innovative neurophysiological data to assess their impact on the diagnosis and prognosis of patients with Disorders of Consciousness. The main questions it aims to answer are:
- Is it possible to identify biomarkers with high diagnostic relevance for distinguishing subcategories of patients with Disorders of Consciousness?
- Can biomarkers with potential medium- and long-term prognostic value be identified for each category of patients with Disorders of Consciousness? Participants will undergo an EEG examination during near-nerve stimulation of the median nerve. Clinical and anamnestic data will also be recorded and collected at follow-up.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for all trials
Started Jul 2022
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 21, 2022
CompletedFirst Submitted
Initial submission to the registry
February 17, 2025
CompletedFirst Posted
Study publicly available on registry
February 25, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 28, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
March 28, 2025
CompletedAugust 24, 2025
February 1, 2025
2.7 years
February 17, 2025
August 22, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Identification of Neurophysiological Diagnostic Biomarkers in Disorders of Consciousness
Quantification of the Agreement Between Newly Proposed Neurophysiological Markers From Near-Nerve Stimulation Examinations and Disorders of Consciousness Classification Based on the Coma Recovery Scale-Revised (UWS, MCS-, MCS+)
From enrollment to the baseline experimental session (within 7 days from enrollment)
Identification of Neurophysiological Prognostic Biomarkers in Disorders of Consciousness
Quantification of Prognostic Prediction Accuracy of Newly Proposed Neurophysiological Markers From Near-Nerve Stimulation in Classifying Disorders of Consciousness Based on the Coma Recovery Scale - Revised (UWS, MCS-, MCS+, EMCS)
From enrollment to the end of follow up at 6-months from baseline assessment
Study Arms (1)
Patients with Disorders of Consciousness admitted to the Intensive Rehabilitation Unit
Patients admitted with a Disorder of Consciousness to the Intensive Rehabilitation Unit (IRU) of Fondazione Don Carlo Gnocchi (Florence). * Age ≥ 18 years, both sexes; * Severe Acquired Brain Injury (ABI), regardless of etiology; * Patients with a severe alteration of consciousness due to severe ABI of various etiologies, including Cardiac Arrest, Traumatic Brain Injury, Cerebral Ischemia, or Hemorrhage; * Signed informed consent provided by a family member, caregiver, or legal guardian.
Eligibility Criteria
Patients who were admitted with a Disorder of Consciousness to the Intensive Rehabilitation Unit (IRU) of Fondazione Don Carlo Gnocchi (Florence).
You may qualify if:
- Age \> 18 years, both sexes;
- Severe acquired brain injury (regardless of etiology);
- Patients with severe alteration of consciousness state due to severe acquired brain injury of various etiologies (Cardiac Arrest, Traumatic Brain Injury, Cerebral Ischemia or Hemorrhage);
- Informed consent signature by family member/caregiver/legal guardian.
You may not qualify if:
- Time since the acute event greater than 3 months;
- Previous neurological diseases;
- Previous acute brain injuries, psychiatric disorders, neurodegenerative diseases, neoplasms, severe systemic diseases;
- Modified Barthel Index pre-event \< 50;
- Unstable medical conditions.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
IRCCS Fondazione Don Carlo Gnocchi
Florence, FI, 50143, Italy
Related Publications (3)
Vallbo AB. Microneurography: how it started and how it works. J Neurophysiol. 2018 Sep 1;120(3):1415-1427. doi: 10.1152/jn.00933.2017. Epub 2018 Jun 20.
PMID: 29924706BACKGROUNDMano T, Iwase S, Toma S. Microneurography as a tool in clinical neurophysiology to investigate peripheral neural traffic in humans. Clin Neurophysiol. 2006 Nov;117(11):2357-84. doi: 10.1016/j.clinph.2006.06.002. Epub 2006 Aug 10.
PMID: 16904937BACKGROUNDHakiki B, Donnini I, Romoli AM, Draghi F, Maccanti D, Grippo A, Scarpino M, Maiorelli A, Sterpu R, Atzori T, Mannini A, Campagnini S, Bagnoli S, Ingannato A, Nacmias B, De Bellis F, Estraneo A, Carli V, Pasqualone E, Comanducci A, Navarro J, Carrozza MC, Macchi C, Cecchi F. Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational Study. Front Neurol. 2022 Feb 28;13:711312. doi: 10.3389/fneur.2022.711312. eCollection 2022.
PMID: 35295839BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 2 Months
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 17, 2025
First Posted
February 25, 2025
Study Start
July 21, 2022
Primary Completion
March 28, 2025
Study Completion
March 28, 2025
Last Updated
August 24, 2025
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- SAP, ANALYTIC CODE
- Time Frame
- Upon publication of results
- Access Criteria
- Data and code will be available for research purposes upon request to authors.
Upon publication of results, anonymized data and analysis code will be shared to ensure reproducibility. Zenodo and GitHub repositories will be created.