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. 2024 Oct;33(10):107922.
doi: 10.1016/j.jstrokecerebrovasdis.2024.107922. Epub 2024 Aug 9.

Smartphone pupillometry for detection of cerebral vasospasm after aneurysmal subarachnoid hemorrhage

Anthony J Maxin  1 , Sophie Kush  2 , Bernice G Gulek  3 , Graham M Winston  4 , John Chae  5 , Rami Shaibani  6 , Lynn B McGrath  7 , Isaac J Abecassis  8 , Michael R Levitt  9
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Smartphone pupillometry for detection of cerebral vasospasm after aneurysmal subarachnoid hemorrhage

Anthony J Maxin et al. J Stroke Cerebrovasc Dis. 2024 Oct.

Abstract

Objectives: Vasospasm is a complication of aneurysmal subarachnoid hemorrhage (aSAH) that can change the trajectory of recovery and is associated with morbidity and mortality. Earlier detection of vasospasm could improve patient outcomes. Our objective is to evaluate the accuracy of smartphone-based quantitative pupillometry in the detection of radiographic vasospasm and delayed cerebral ischemia (DCI) after aSAH.

Materials and methods: We prospectively collected pupillary light reflex (PLR) parameters from patients with aSAH admitted to a neurocritical care unit at a single hospital twice daily using quantitative smartphone pupillometry recordings. PLR parameters included: Maximum pupil diameter, minimum pupil diameter, percent change in pupil diameter, latency in beginning of pupil constriction to light, mean constriction velocity, maximum constriction velocity, and mean dilation velocity. Two-tailed t-tests for independent samples were performed to determine changes in average concurrent PLR parameter values between the following comparisons: (1) patients with and without radiographic vasospasm (defined by angiography with the need for endovascular intervention) and (2) patients with and without DCI.

Results: 49 subjects with aSAH underwent 323 total PLR recordings. For PLR recordings taken with (n=35) and without (n=241) radiographic vasospasm, significant differences were observed in MIN (35.0 ± 7.5 pixels with vasospasm versus 31.6 ± 6.2 pixels without; p=0.002). For PLR recordings taken with (n=43) and without (n=241) DCI, significant differences were observed in MAX (48.9 ± 14.3 pixels with DCI versus 42.5 ± 9.2 pixels without; p<0.001).

Conclusions: Quantitative smartphone pupillometry has the potential to be used to detect radiographic vasospasm and DCI after aSAH.

Keywords: Cerebral vasospasm; Delayed cerebral ischemia; Digital health; Pupillary light reflex; Smartphone pupillometry; Subarachnoid hemorrhage.

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Conflict of interest statement

Declaration of competing interest MRL: Unrestricted educational grants from Medtronic and Stryker; equity interest in Proprio, Stroke Diagnostics, Synchron, Hyperion Surgical, Fluid Biomed, Apertur, Stereotaxis; consultant for Genomadix, Metis Innovative and Aeaean Advisers; editorial board of Journal of NeuroInterventional Surgery; data safety monitoring board for Arsenal Medical. SK: No disclosures. RS: No disclosures. AJM: Equity interest in Apertur. BGG: No disclosures. GMW: No disclosures. JC: No disclosures. LBM: Co-founder with equity interest in Apertur. IJA has the following disclosures: Grant support from CNS Foundation, Medtronic, Microvention, Penumbra; Equity interest in Remedy Robotics, Von Medical, Hyperion; Consultant for Remedy Robotics, Rapid Medical, Balt, Imperative Care.

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