ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025
Quantitative pupillometry as a sensitive biomarker for detecting subtle neurological impairment in mild traumatic brain injury - a pilot study.
Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeMild traumatic brain injury accounts for roughly 55 million trauma cases globally each year. However, diagnosis and management remain challenging as conventional methods like cranial CT and the Glasgow Coma Scale do not reliably detect subtle neurological impairments. Quantitative Pupillometry has shown promise in severe traumatic brain injury, but data on its use in mild traumatic brain injury is limited. This study aims to evaluate whether Quantitative Pupillometry can detect subtle neurological dysfunction in patients with mild traumatic brain injury.
methodsWe retrospectively analyzed 38 adult patients with mild traumatic brain injury admitted between December 2023 and October 2024. Quantitative Pupillometry was assessed in the emergency room using the NPi 200
resultsMean age in our cohort was 61.8 years (SD 21.1). subarachnoid hemorrhage was present in 58% of patients (n = 22/38), with bleeding equally distributed between the hemispheres. In patients with subarachnoid hemorrhage, average pupillary dilation velocity was significantly lower compared to those without subarachnoid hemorrhage (0.7 mm/s vs. 1.1 mm/s, p = 0.043). Strong positive and significant correlations were found between pupillometric velocity parameters and GCS scores: bilateral constriction velocity (Sr = 0.9, p < 0.001) and dilation velocity (Sr = 0.8, p = 0.006). Multivariate regression analysis explained 73.8% of GCS variance, identifying increased pupillary latency and subarachnoid hemorrhage as significant predictors for worse GCS outcomes. ROC curve analysis confirmed the predictive value of subarachnoid hemorrhage presence (AUC = 0.8) and pupillary latency (AUC = 0.7).
conclusionQuantitative Pupillometry, especially pupillary reflex velocities, is a sensitive tool for detecting subtle neurological impairments in mild traumatic brain injury patients who may appear clinically normal. This pilot study supports Quantitative Pupillometry as an effective tool for early identification of neurological deterioration, potentially improving triage and patient safety. These findings lay the foundation for further validation of Quantitative Pupillometry in mild traumatic brain injury assessment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.