Prognostic value of clinical and electrodiagnostic parameters at time of diagnosis in patients with amyotrophic lateral sclerosis.

OBJECTIVE: To assess the added prognostic value of the aggregated clinical and electrodiagnostic data, which define a given diagnostic category according to the Awaji or revised El Escorial criteria at time of diagnosis in patients with amyotrophic lateral sclerosis (ALS). METHODS: Clinical signs and electrodiagnostic test results were collected at time of diagnosis in 396 patients with ALS between January 2009 and January 2016. Significant predictors of prognosis were identified using a univariate model, and later combined in a multivariate Cox regression model. RESULTS: Known factors associated with reduced survival included older age at onset, shorter diagnostic delay, higher ALSFRS-R slope and presence of C9orf72 mutation (all p < 0.05). Diagnostic category according to Awaji (p < 0.0001) or to revised El Escorial (p = 0.0177) criteria, definite ALS according to Awaji (p < 0.0001) or to revised El Escorial (p = 0.0343) and number of regions with LMN involvement (p < 0.0001) were all associated with shorter survival. DISCUSSION: Clinical and electrodiagnostic data at time of diagnosis provide additional prognostic information compared to other known prognostic factors. Diagnostic category according to Awaji and the extensiveness of LMN involvement contain the most additional value.

Neurofilament markers for ALS correlate with extent of upper and lower motor neuron disease.

OBJECTIVE: To determine the diagnostic performance and prognostic value of phosphorylated neurofilament heavy chain (pNfH) and neurofilament light chain (NfL) in CSF as possible biomarkers for amyotrophic lateral sclerosis (ALS) at the diagnostic phase. METHODS: We measured CSF pNfH and NfL concentrations in 220 patients with ALS, 316 neurologic disease controls (DC), and 50 genuine disease mimics (DM) to determine and assess the accuracy of the diagnostic cutoff value for pNfH and NfL and to correlate with other clinical parameters. RESULTS: pNfH was most specific for motor neuron disease (specificity 88.2% [confidence interval (CI) 83.0%-92.3%]). pNfH had the best performance to differentially diagnose patients with ALS from DM with a sensitivity of 90.7% (CI 84.9%-94.8%), a specificity of 88.0% (CI 75.7%-95.5%) and a likelihood ratio of 7.6 (CI 3.6-16.0) at a cutoff of 768 pg/mL. CSF pNfH and NfL levels were significantly lower in slow disease progressors, however, with a poor prognostic performance with respect to the disease progression rate. CSF pNfH and NfL levels increased significantly as function of the number of regions with both upper and lower motor involvement. CONCLUSIONS: In particular, CSF pNfH concentrations show an added value as diagnostic biomarkers for ALS, whereas the prognostic value of pNfH and NfL warrants further investigation. Both pNfH and NfL correlated with the extent of motor neuron degeneration. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that elevated concentrations of CSF pNfH and NfL can accurately identify patients with ALS.