Usefulness of the Combined Motor Evoked and Somatosensory Evoked Potentials for the Predictive Index of Functional Recovery After Primary Pontine Hemorrhage

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¼ºÁø¿Ï(Seong Jin-Wan) - Ulsan University Hospital Department of Physical Medicine and Rehabilitation
±è¹ÎÈ£(Kim Min-Ho) - University of Ulsan College of Medicine Ulsan University Hospital Biomedical Research Center
(Shin Hyo-Keong) - Ulsan University Hospital Department of Physical Medicine and Rehabilitation
ÀÌÇѵµ(Lee Han-Do) - Yeungnam University College of Medicine Department of Physical Medicine and Rehabilitation
¹ÚÁعü(Park Jun-Bum) - University of Ulsan College of Medicine Ulsan University Hospital Department of Neurosurgery
¾çµ¿¼®(Yang Dong-Seok) - Ulsan University Hospital Department of Physical Medicine and Rehabilitation

Abstract

Objective: To investigate the predictive index of functional recovery after primary pontine hemorrhage (PPH) using the combined motor evoked potential (MEP) and somatosensory evoked potential (SEP) in comparison to the hematoma volume and transverse diameter measured with computerized tomography.

Methods: Patients (n=14) with PPH were divided into good- and poor-outcome groups according to the modified Rankin Score (mRS). We evaluated clinical manifestations, radiological characteristics, and the combined MEP and SEP responses. The summed MEP and SEP (EP sum) was compared to the hematoma volume and transverse diameter predictive index of global disability, gait ability, and trunk stability in sitting posture.

Results: All measures of functional status and radiological parameters of the good-outcome group were significantly better than those of the poor-outcome group. The EP sum showed the highest value for the mRS and functional ambulatory category, and transverse diameter showed the highest value for ¡°sitting-unsupported¡± of Berg Balance Scale.

Conclusion: The combined MEP and SEP is a reliable and useful tool for functional recovery after PPH.

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Pontine hemorrhage, Motor evoked potential, Somatosensory evoked potential, Predictive Index
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