Evidence map›Paper›PMID 42667581›Full record

ArticleJournal of clinical monitoring and computing2026

A comparison between two indices derived from automated pupillometry devices.

Carlotta Bandoni, Khalil Mounir, Francesca Iannuzzi, Andrea Berardino, Fabio Tarantino, Mohammed Rabi Andaloussi, Fabio Silvio Taccone, Denise Battaglini, Nicolo ' Antonino Patroniti, Chiara Robba

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Article in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Carlotta Bandoni *Department of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Khalil Mounir *Department of Surgical Intensive care, Hôpital Militaire d'Instruction Mohammed V, Rabat, Morocco.
Francesca IannuzziDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Andrea BerardinoDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Fabio TarantinoDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Mohammed Rabi AndaloussiDepartment of Surgical Intensive care, Hôpital Militaire d'Instruction Mohammed V, Rabat, Morocco.
Fabio Silvio TacconeDepartment of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium.
Denise BattagliniDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Nicolo ' Antonino PatronitiDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy.
Chiara RobbaDepartment of Anesthesia and Intensive Care, AOM Ospedale Policlinico San Martino, Genova, Italy. kiarobba@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated pupillometry provides a standardised, quantitative, highly reproducible measurement of the pupillary light reactivity and other pupillary variables. The Neurologic pupillary index (NPi) has shown good prognostic value in patients with acute brain injury and cardiac arrest. However, few data on the comparison of NPi with a recently introduced index (quantitative pupillary index, QPI) are available. To compare the performance of two commercially available automated pupillometry devices, and in particular QPI and NPi, in a cohort of neuro-critically ill patients. Single-center observational study, including adult (> 18 years) patients admitted to a neuro-intensive care unit over a 6-month period. Pupillary reactivity was assessed in both eyes of each patient using the two pupillometers currently available, the Neuroptics NPi-300 (Neuroptics, Irvine, CA, USA) and the NeuroLight (ID-Med, Marseilles, France). A total of 73 patients were included in the final analysis, with a median age of 65 years (interquartile range [IQR] 54-77). The mean bias between the two pupillometers was 0.44 mm (95% Limit of Agreement [LoA] - 0.43 mm to 1.31 mm) for pupil diameter, 0.57% (95% LoA - 7.63% to 8.77%) for pupillary reactivity, and - 0.82 (95% LoA - 2.70 to 1.05) for NPi vs. QPI comparison. A very strong correlation was found between the two devices in terms of pupil diameter measurement (ρ = 0.91; 95% Confidence Interval [CI] 0.86 to 0.95; p < 0.0001) and pupil reactivity (ρ = 0.92; 95% CI 0.87 to 0.95; p < 0.0001). NPi and QPI were well correlated (ρ = 0.75; 95% CI, 0.62-0.84; p < 0.0001). In this cohort study, a significant statistical correlation between the measurements provided by two available pupilometers was found; however, NPi and QPI might not be clinically interchangeable.

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Acute brain injuryAutomated pupillometryIntensive careOutcome

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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.