Abstract
Our objective was to evaluate the neurophysiological index (NI) as a biomarker for amyotrophic lateral sclerosis (ALS) and to assess the validity of linear mixed effects models for describing longitudinal changes. Functional assessment and nerve conduction studies were undertaken in 58 ALS patients. Neurophysiological data were collected on four occasions over 12 weeks (baseline, weeks 4, 8 and 12). The NI was calculated for the abductor digiti minimi and ulnar nerve at the wrist. NI declined at a rate of 0.04 per week (S.E. 0.006, p < 0.0001). Patients with bulbar-onset disease had 0.88 greater NI than patients with upper limb-onset disease over the follow-up period (S.E. 0.39, p = 0.03). There were no differences in the rates of decline among patients with different disease phenotypes. Rates of change in NI and functional impairment were weakly correlated (Spearman's p = 0.29, p = 0.03). Linear mixed effects models were appropriate for detailing the longitudinal changes in NI. The present findings support incorporation of NI as an outcome measure for ALS clinical trials conducted over short time periods.
Declaration of interest: Support from the Australian Rotary Health Research Amyotrophic Lateral Sclerosis Fund (Mary Jane Douglass Award) and the National Health and Medical Research Council of Australia is gratefully acknowledged. Benjamin Cheah was awarded the University of New South Wales BrainSciences PhD scholarship and the 2010 Pfizer Biostatistics Collaboration of Australia Award for Excellence for this study. Steve Vucic received funding from Clive and Vera Ramaciotti Establishment grant and Sylvia and Charles Viertel Charitable Foundation Clinical Investigatorship. Robert Boland receives grant support from the New South Wales Office of Science and Medicine Research. Matthew Kiernan has received grant support from the National Health and Medical Research Council of Australia and the Motor Neurone Disease Research Institute of Australia.