ArticleJournal of neurology2025
Clinical application of age-derived cut-offs for plasma neurofilament light chain in multiple sclerosis.
Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Evaluating the neurofilament light chain-derived gap between biological and chronological age in multiple sclerosis and controls.Journal of neurology · 2026Article
- Real-world Roche ElecsysJournal of neurology · 2026Article
- Bayes at the Bedside: Biomarkers in Situations of Clinical Uncertainty.Diagnostics (Basel, Switzerland) · 2026Article
- Serum miRNA-155 and TREM2 as Non-Invasive Biomarkers for Monitoring Neuroinflammation and Disease Activity in Multiple Sclerosis.Molecular neurobiology · 2026Review
- Novel missense ALDH18A1 variant in a family with autosomal dominant spastic paraplegia.Journal of neurology · 2025Article
- Plasma Neurofilament Light Chain Is Associated with Cognitive Functions but Not Patient-Reported Outcomes in Multiple Sclerosis.Neurology international · 2025Article
- Investigating the contribution of laboratory parameters on plasma neurofilament light chain levels in multiple sclerosis.Frontiers in neurology · 2025Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
objectiveClinical use of neurofilament light chain (NfL) requires cut-off values that reflect disease status independently of confounding factors, such as age, hemodilution, and cardiovascular risk factors. We compared the performance of different previously suggested cut-offs in separating MS cases and controls, and in identifying different MS clinical features, across age groups.
methodsIn this cross-sectional study, we included people with MS (n = 312) and age-, sex-, and eGFR-matched controls (n = 236). For MS cases, we collected descriptor of disease progression (relapsing or progressive), EDSS, and evidence of disease activity in the previous year (including relapses, active MRI, and EDSS progression) and disease duration. Plasma NfL (pNfL) was evaluated using Lumipulse™ fully automated chemiluminescent enzyme immunoassay. We then classified both MS cases and controls based on pNfL suggested by Simrèn et al. (specific for different age ranges), Vermunt et al. (age-derived percentiles), and Benkert et al. (age- and BMI-derived percentiles).
resultsIn individuals aged 18-50 years, the three suggested pNfL cut-offs provided high specificity (> 85%) in discriminating MS cases and controls (AUC = 0.73; 95%CI = 0.67, 0.78; p = 0.028). In the MS population, the three suggested pNfL cut-offs provided high sensitivity (> 75%) in discriminating relapsing and progressive cases (AUC = 0.70; 95%CI = 0.63, 0.77; p = 0.034), patients with EDSS ≥ 4.0 and EDSS < 4.0 (AUC = 0.69; 95%CI = 0.63, 0.76; p = 0.032), and patients with EDSS ≥ 6.0 and EDSS < 6.0 (AUC = 0.70; 95%CI = 0.62, 0.78; p = 0.040). The three suggested pNfL cut-offs provided lower accuracy in age groups older than 50 years.
conclusionsPreviously validated cut-offs provided similar sensitivity and specificity in separating MS cases and controls and in identifying MS clinical features across different age groups, with the best performance before 50 years.
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