Neurofilament light as a marker of neuro‐axonal injury and potential biomarker of disease progression in normal pressure hydrocephalus
Bibliographic record
Abstract
Abstract Background The etiology of normal pressure hydrocephalus (NPH) is unknown. Patients worsen but the cause of the progression is unclear. A prognostic biomarker in NPH is required for selecting the best candidates for shunt surgery. Neurofilament‐light chain (NfL) is a marker of neuro‐axonal injury and is elevated in neurodegenerative disease, traumatic brain injury, stroke and encephalitis. The aim of this study was: (1) To compare cerebrospinal fluid (CSF) NfL of NPH patients with healthy controls (HC), and other neurodegenerative diseases: Alzheimer’s disease (AD), and Frontotemporal lobar degeneration (FTLD); and (2) To evaluate CSF NfL levels as a potential biomarker of disease progression in NPH. Method 108 patients with CSF analysis: (a) NPH group (39 patients): ventriculomegaly on MRI or CT, negative AD biomarkers, clinical symptoms of NPH, improvement in gait after removal of a large amount of CSF. 14 patients of the unshunted NPH group had a 1‐year follow‐up scan. EVANS index was calculated for these participants; (b) FTLD group (45 patients): 5 behavioural‐variant frontotemporal‐dementia, 19 corticobasal syndrome, 3 frontotemporal dementia with motor neuron disease, 13 progressive supranuclear palsy, 3 semantic‐variant primary progressive aphasia (PPA), and 2 non‐fluent PPA; (c) AD group (19 patients): CSF biomarkers and cognitive symptoms consistent with AD; and (d) HC group (5 participants): cognitively and functionally normal. Levels of NfL in CSF were measured using single molecule array (Simoa) technology. All statistical analyses were corrected for multiple comparisons and age. Result NfL levels in patients with NPH were significantly higher than HC (1504.7±520 vs 702.5±170pg/ml, p < 0.001), and lower than FTLD group (1504.7±520 vs 3071.7±2830pg/ml, p=0.005). There was a trend for lower NfL in NPH compared to AD, (1504.7±520 vs 2305.4±1179.7pg/ml, p=0.056). There was a significant correlation between baseline NfL levels and increase in EVANS index (r=0.784, p=0.002) in the 14 NPH patients with longitudinal brain imaging. Conclusion CSF NfL levels in NPH patients suggests there is neuro‐axonal injury but is lower than some other neurodegenerative diseases (i.e., FTLD and AD). NfL may be a biomarker for neuro‐axonal injury and disease progression in NPH.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".