Neurological Pupil Index for the Early Prediction of Outcome in Severe Acute Brain Injury Patients

In this study, we examined the early value of automated quantitative pupillary examination, using the Neurological Pupil index (NPi), to predict the long-term outcome of acute brain injured (ABI) patients. We performed a single-centre retrospective study (October 2016-March 2019) in ABI patients who underwent NPi measurement during the first 3 days following brain insult. We examined the performance of NPi-alone or in combination with other baseline demographic (age) and radiologic (CT midline shift) predictors-to prognosticate unfavourable 6-month outcome (Glasgow Outcome Scale 1-3). A total of 145 severely brain-injured subjects (65 traumatic brain injury, TBI; 80 non-TBI) were studied. At each time point tested, NPi <3 was highly predictive of unfavourable outcome, with highest specificity (100% (90-100)) at day 3 (sensitivity 24% (15-35), negative predictive value 36% (34-39)). The addition of NPi, from day 1 following ABI to age and cerebral CT scan, provided the best prognostic performance (AUROC curve 0.85 vs. 0.78 without NPi, p = 0.008; DeLong test) for 6-month neurological outcome prediction. NPi, assessed at the early post-injury phase, has a superior ability to predict unfavourable long-term neurological outcomes in severely brain-injured patients. The added prognostic value of NPi was most significant when complemented with baseline demographic and radiologic information.

Automated summary

In this study, the early value of automated quantitative pupillary examination using the Neurological Pupil index (NPi) was examined to predict the long-term outcome of acute brain injured patients. The study found that the addition of NPi to baseline demographic and radiologic information provided the best prognostic performance for predicting 6-month neurological outcome.