Enhanced clinical trial stratification in spinal cord injury: the value of electrophysiology

There are no approved interventional therapies, aside from neurorehabilitation, that enhance neurological recovery after acute traumatic spinal cord injury (SCI). A key challenge is the lack of biomarkers surpassing clinical standards for optimal stratification. We evaluated electrophysiological markers of preserved neuronal function to improve enrichment stategies over clinical measures. We hypothesized that participants with preserved electrophysiological markers would achieve greater neurological and functional recovery in response to a plasticity-inducing intervention. We conducted a retrospective stratification analysis of data from the recently completed randomized, placebo-controlled, phase-2b Nogo Inhibition in SCI (NISCI) trial (NCT03935321) investigating the efficacy of NG101, a recombinant human antibody that neutralises the neurite outgrowth-inhibiting protein Nogo-A. Participants aged 18-70 years with acute (4 - 28 days) cervical SCI were eligible. At screening, all participants underwent clinical neurological examination and electrophysiological recordings (i.e., somatosensory evoked potentials). Treatment effect sizes for the recovery of upper extremity motor scores and spinal cord independence measure of self-care (6 - months change) between NG101 and placebo groups were compared for stratification based on clinical versus electrophysiological criteria. Power analyses were conducted to estimate the required sample sizes needed for each method. The cohort included 116 participants (45.5 ± 16.8 years, 74 NG101/41 placebo). Clinical stratification showed greater functional recovery in motor-incomplete participants treated with NG101 versus placebo (estimate 0.02 [95%CI: 0.006-0.038], p = 0.007). Electrophysiological stratification revealed greater functional recovery in participants with preserved SSEPs treated with NG101 versus placebo (0.04 [0.015-0.054], p < 0.001). Effect sizes were large for electrophysiological (Cohen's d = 0.94), but small for clinical stratification (Cohen's d = 0.46). Power analyses demonstrated smaller required sample sizes for electrophysiological (Nreq= 32) versus clinical stratification (Nreq = 120). This study shows the value of electrophysiology compared to clinical measures for biomarker-driven enrichment and improved power in acute SCI trials. We emphasize the importance of functionally spared neuronal pathways in promoting recovery in response to plasticity-inducing interventions like anti-Nogo-A antibodies.

Authors

Publication Details

Journal
Universität Zürich, ZORA
Published
2025-09-24
DOI
https://doi.org/10.5167/uzh-281470
Primary Topic
Spinal Cord Injury Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced clinical trial stratification in spinal cord injury: the value of electrophysiology

Norbert Weidner, Michèle Hubli, Andreas Badke, Margret Hund‐Georgiadis et al.
Universität Zürich, ZORA
Spinal Cord Injury Research
article

Enhanced clinical trial stratification in spinal cord injury: the value of electrophysiology

Norbert Weidner, Michèle Hubli, Andreas Badke, Margret Hund‐Georgiadis, Martin Schubert, Catherine R. Jutzeler, Jiří Kříž, Kerstin Rehahn, Michael Baumberger, Paulina S. Scheuren, Doris Maier, Jesús Benito-Penalva, Rainer Abel, Marion Saur, John L. K. Kramer, Armin Curt, Martin E Schwab, Rüdiger Rupp, Klaus Röhl, Patrick Freund, Mirko Aach
article en

Abstract

There are no approved interventional therapies, aside from neurorehabilitation, that enhance neurological recovery after acute traumatic spinal cord injury (SCI). A key challenge is the lack of biomarkers surpassing clinical standards for optimal stratification. We evaluated electrophysiological markers of preserved neuronal function to improve enrichment stategies over clinical measures. We hypothesized that participants with preserved electrophysiological markers would achieve greater neurological and functional recovery in response to a plasticity-inducing intervention. We conducted a retrospective stratification analysis of data from the recently completed randomized, placebo-controlled, phase-2b Nogo Inhibition in SCI (NISCI) trial (NCT03935321) investigating the efficacy of NG101, a recombinant human antibody that neutralises the neurite outgrowth-inhibiting protein Nogo-A. Participants aged 18-70 years with acute (4 - 28 days) cervical SCI were eligible. At screening, all participants underwent clinical neurological examination and electrophysiological recordings (i.e., somatosensory evoked potentials). Treatment effect sizes for the recovery of upper extremity motor scores and spinal cord independence measure of self-care (6 - months change) between NG101 and placebo groups were compared for stratification based on clinical versus electrophysiological criteria. Power analyses were conducted to estimate the required sample sizes needed for each method. The cohort included 116 participants (45.5 ± 16.8 years, 74 NG101/41 placebo). Clinical stratification showed greater functional recovery in motor-incomplete participants treated with NG101 versus placebo (estimate 0.02 [95%CI: 0.006-0.038], p = 0.007). Electrophysiological stratification revealed greater functional recovery in participants with preserved SSEPs treated with NG101 versus placebo (0.04 [0.015-0.054], p < 0.001). Effect sizes were large for electrophysiological (Cohen's d = 0.94), but small for clinical stratification (Cohen's d = 0.46). Power analyses demonstrated smaller required sample sizes for electrophysiological (Nreq= 32) versus clinical stratification (Nreq = 120). This study shows the value of electrophysiology compared to clinical measures for biomarker-driven enrichment and improved power in acute SCI trials. We emphasize the importance of functionally spared neuronal pathways in promoting recovery in response to plasticity-inducing interventions like anti-Nogo-A antibodies.

Universität Zürich, ZORA
Good health and well-being
Openalex Percentile: Top 27%
Spinal Cord Injury Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.