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. 2020 Mar 17;17(1):86.
doi: 10.1186/s12974-020-01737-0.

Increased serum neurofilament light chain concentration indicates poor outcome in Guillain-Barré syndrome

Affiliations

Increased serum neurofilament light chain concentration indicates poor outcome in Guillain-Barré syndrome

Patrick Altmann et al. J Neuroinflammation. .

Abstract

Background: Guillain-Barré syndrome (GBS) is an autoimmune disease that results in demyelination and axonal damage. Five percent of patients die and 20% remain significantly disabled on recovery. Recovery is slow in most cases and eventual disability is difficult to predict, especially early in the disease. Blood or cerebrospinal fluid (CSF) biomarkers that could help identify patients at risk of poor outcome are required. We measured serum neurofilament light chain (sNfL) concentrations from blood taken upon admission and investigated a correlation between sNfL and clinical outcome.

Methods: Baseline sNfL levels in 27 GBS patients were compared with a control group of 22 patients with diagnoses not suggestive of any axonal damage. Clinical outcome parameters for GBS patients included (i) the Hughes Functional Score (HFS) at admission, nadir, and discharge; (ii) the number of days hospitalised; and (iii) whether intensive care was necessary.

Results: The median sNfL concentration in our GBS sample on admission was 85.5 pg/ml versus 9.1 pg/ml in controls. A twofold increase in sNfL concentration at baseline was associated with an HFS increase of 0.6 at nadir and reduced the likelihood of discharge with favourable outcome by a factor of almost three. Higher sNfL levels upon admission correlated well with hospitalisation time (rs = 0.69, p < 0.0001), during which transfer to intensive care occurred more frequently at an odds ratio of 2.4. Patients with baseline sNfL levels below 85.5 pg/ml had a 93% chance of being discharged with an unimpaired walking ability.

Conclusions: sNfL levels measured at hospital admission correlated with clinical outcome in GBS patients. These results represent amounts of acute axonal damage and reflect mechanisms resulting in disability in GBS. Thus, sNfL may serve as a convenient blood-borne biomarker to personalise patient care by identifying those at higher risk of poor outcome.

Keywords: Biomarker; Guillain-Barré syndrome; Neurofilament; Outcome; Prognosis.

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Conflict of interest statement

MPL is a member of the scientific advisory boards for CSL Behring, Novartis and UCB Pharma and has minor unconditional travel grants to relevant meetings from CSL Behring (all outside the submitted work). HZ is a member of the scientific advisory boards for Roche Diagnostics, Wave, Samumed and CogRx; lectures in symposia sponsored by Biogen and Alzecure; and is co-founder of Brain Biomarker Solutions in Gothenburg AB, a GU Ventures-based platform company at the University of Gothenburg (all outside the submitted work). The other authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flow chart of the selection process of GBS (Guillain-Barré syndrome) patients with the application of exclusion criteria
Fig. 2
Fig. 2
Serum neurofilament light chain (sNfL) concentrations upon admission in Guillain-Barré syndrome (GBS) patients and controls. Each dot represents a single individual. Box plots indicate median and IQR with whiskers extending 1.5 times the IQR
Fig. 3
Fig. 3
Correlation of serum neurofilament light chain (sNfL) concentrations upon admission with the Hughes Functional Score (HFS) calculated a on admission (HFS*a) with a Spearman’s correlation coefficient rs of 0.52 (p = 0.005) and b at nadir (HFS*n) with an rs of 0.59 (p = 0.001). Each dot in the scatter plot represents a sample, the line the estimated linear regression. c sNfL levels on admission in association with HFS at discharge (HFS*d) as a dichotomised outcome HFS = 1 and HFS ≥ 2. Each dot represents a single individual. Box plots indicate median and IQR with whiskers extending 1.5 times the IQR
Fig. 4
Fig. 4
Correlation between serum neurofilament light chain (sNfL) concentrations upon admission. a The number of days hospitalised. Each dot in the scatter plot represents a sample, Spearman’s correlation coefficient rs is 0.69 (p < 0.0001). b sNfL levels on admission in patients who did or did not require ICU (intensive care unit) transfer throughout their hospital stay. Box plots indicate median and IQR with whiskers extending 1.5 times the IQR. c Receiver operating characteristic (ROC) curve analysis for the probability of ICU transfer depending on sNfL levels on admission

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