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Correlation Between Clinical Neurological Biomarkers and Rehabilitation Outcome

Correlation Study Between Clinical, Neurophysiological, and Neuroradiological Biomarkers and Rehabilitation Outcomes to Predict Functional Recovery After Stroke and Personalize Treatment.

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06805929
Acronym
PREVICTUS
Enrollment
300
Registered
2025-02-03
Start date
2020-06-15
Completion date
2028-06-30
Last updated
2025-02-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Stroke

Brief summary

Our study purpose is to evaluate the predictive power of various clinical, neurophysiological, and neuroimaging biomarkers-acquired and analyzed using advanced and integrated techniques-on motor functional recovery and disability post-stroke. The goal is to construct an integrated individual biomarker algorithm with a high predictive value for outcomes.

Detailed description

Ability to predict post-stroke individual recovery still represents an important challenge to develop personalized and effective neurorehabilitation strategies. The aim of this study is to verify the predictive power of different clinical, neurophysiological and neuroimaging biomarkers in combination, acquired and analysed using advanced, integrated techniques, on functional motor recovery and post-stroke disability. Patients with ischemic or hemorrhagic stroke and hemiparesis are subsequently enrolled and undergo multimodal assessment that includes measures spanning 4 assessment categories: demographic/medical history, clinical biomarkers, neurophysiological biomarkers (Motor Evoked Potentials, High-density EEG), neuroimaging biomarkers (infarct volume, corticospinal tract injury) at T0 (from 14 to 30 days post-stroke), T1 (after 2 months of intensive rehabilitation treatment) and T2 (4-6 months after discharge). Primary endpoint is change in arm Fugl-Meyer score. Secondary endpoints are changes in lower limb Fugl Meyer motor, Nine hole peg test, National Institute of Health Stroke Scale, mRS Rankin Scale, modified Barthel Index scores. Multivariate analyses will indicate which biomarkers at baseline have the greatest value to predict significant changes in primary and secondary endpoints at T1 and T2. A model incorporating measures of clinical, neurophysiological and neuroimaging biomarkers could best predict individual treatment-induced behavioral gains and therefore allow to plan a tailor-made rehabilitation project, select rehabilitation therapy, appropriate allocation of time and human resources and stratify clinical trial enrollees.

Interventions

None listed

Sponsors

IRCCS San Raffaele Roma
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* First stroke in the middle cerebral artery territory. * Ischemic or hemorrhagic stroke (7-30 days post-acute event). * Upper limb plegia or paresis. * Both genders, aged \>18 years. * Ability to provide informed consent by the patient or caregiver/responsible relative.

Exclusion criteria

* Previous stroke. * Stroke in territories other than the middle cerebral artery. * Inability to provide informed consent. * Contraindications to TMS or MRI. * History of cancer in the past two years. * Presence of other neurological conditions interfering with biomarkers

Design outcomes

Primary

MeasureTime frameDescription
change in arm Fugl-Meyer scoreat T0 (from 14 to 30 days post-stroke), T1 (after 2 months of intensive rehabilitation treatment) and T2 (4-6 months after discharge).assess the predictive power of biomarkers, individually or in combination, on the Fugl-Meyer Upper Limb Motor Scale (FM-UL) score at two months post-rehabilitation admission and at 4-6 months post-discharge

Countries

Italy

Contacts

Primary ContactDomenica Le Pera, MD, PhD
domenica.lepera@sanraffaele.it+390652252344
Backup ContactLucia Gatta, PhD
lucia.gatta@sanraffaele.it+390652253440

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026