Evidence map›Paper›PMID 37652068›Full record

Observational studyThe Lancet. Neurology2023

The Neurological Pupil index for outcome prognostication in people with acute brain injury (ORANGE): a prospective, observational, multicentre cohort study.

Mauro Oddo, Fabio S Taccone, Matteo Petrosino, Rafael Badenes, Aaron Blandino-Ortiz, Pierre Bouzat, Anselmo Caricato, Randall M Chesnut, Anders C Feyling, Nawfel Ben-Hamouda and 10 more

2 registry-linked trialsAbstract readObservational StudyMulticenter Study
PubMed Publisher
In one paragraph

Observational study in The Lancet. Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
17.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT04490005 completednot on this map

Outcome pRognostication of Acute Brain Injury With the NeuroloGical Pupil

Typeobservational_patient_registrySponsorUniversity of Milano BicoccaRan2020 to 2022Enrolled118ConditionsAcute Brain Injury, Pupillary Reflex ImpairedArmspupillometry
NCT06187792 unknown statusnot on this map

Constructing a Model of Pupillary Parameters in Predicting Delirium Among Critically Ill Patients in the Intensive Unit

TypeobservationalSponsorNational Taiwan University HospitalRan2023 to 2025Enrolled200ConditionsICU Delirium
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

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  6. How we use the neurological pupil index (NPi).Critical care (London, England) · 2026
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  10. Quantitative pupillometry as a sensitive tool for detecting hydrocephalus-related physiologic burden after aSAH: a prospective feasibility study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 14 institutions in 8 countries.

Mauro OddoDepartment of Intensive Care Medicine, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland; CHUV Directorate for Innovation and Clinical Research, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland.
Fabio S TacconeDepartment of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles, Brussels, Belgium.
Matteo PetrosinoSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Rafael BadenesDepartment of Anesthesiology and Surgical-Trauma Intensive Care, Hospital Clinic Universitari de Valencia, University of Valencia, Valencia, Spain.
Aaron Blandino-OrtizDepartment of Intensive Care Medicine, Ramón y Cajal University Hospital, Universidad de Alcalá, Madrid, Spain.
Pierre BouzatUniversité Grenoble Alpes, Inserm U1216, Grenoble Institut Neurosciences, Department of Anaesthesia and Intensive Care, Centre Hospitalier Universitaire Grenoble, Grenoble, France.
Anselmo CaricatoDepartment of Anesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy.
Randall M ChesnutDepartment of Neurological Surgery, and Department of Orthopaedic Surgery, Harborview Medical Center, University of Washington, Seattle, WA, USA.
Anders C FeylingDepartment of Anaesthesia and Intensive Care, Oslo University Hospital Ullevål, Oslo, Norway.
Nawfel Ben-HamoudaDepartment of Intensive Care Medicine, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland.
J Claude HemphillDepartment of Neurology, University of California San Francisco, San Francisco, CA, USA.
Julia KoehnDepartment of Neurology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
Frank RasuloDepartment of Neuroanesthesia and Neurocritical Care, Spedali Civili University Affiliated Hospital of Brescia, Brescia, Italy.
Jose I SuarezDivision of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Francesca ElliDepartment of Neuroscience, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Alessia VargioluSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Paola ReboraSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Stefania GalimbertiSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Giuseppe CiterioSchool of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Department of Neuroscience, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy. Electronic address: giuseppe.citerio@unimib.it.
ORANGE study investigators
University of Milano-Bicocca · ITUniversity of Lausanne · CHAgostino Gemelli University Polyclinic · ITAzienda Ospedaliera San Gerardo · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITFriedrich-Alexander-Universität Erlangen-Nürnberg · DEHospital Clínico Universitario de Valencia · ESInserm · FRJohns Hopkins University · USNeurological Surgery · USOslo University Hospital · NOUniversidad de Alcalá · ESUniversité Libre de Bruxelles · BEUniversity of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImproving the prognostication of acute brain injury is a key element of critical care. Standard assessment includes pupillary light reactivity testing with a hand-held light source, but findings are interpreted subjectively; automated pupillometry might be more precise and reproducible. We aimed to assess the association of the Neurological Pupil index (NPi)-a quantitative measure of pupillary reactivity computed by automated pupillometry-with outcomes of patients with severe non-anoxic acute brain injury.

methodsORANGE is a multicentre, prospective, observational cohort study at 13 hospitals in eight countries in Europe and North America. Patients admitted to the intensive care unit after traumatic brain injury, aneurysmal subarachnoid haemorrhage, or intracerebral haemorrhage were eligible for the study. Patients underwent automated infrared pupillometry assessment every 4 h during the first 7 days after admission to compute NPi, with values ranging from 0 to 5 (with abnormal NPi being <3). The co-primary outcomes of the study were neurological outcome (assessed with the extended Glasgow Outcome Scale [GOSE]) and mortality at 6 months. We used logistic regression to model the association between NPi and poor neurological outcome (GOSE ≤4) at 6 months and Cox regression to model the relation of NPi with 6-month mortality. This study is registered with ClinicalTrials.gov, NCT04490005.

findingsBetween Nov 1, 2020, and May 3, 2022, 514 patients (224 with traumatic brain injury, 139 with aneurysmal subarachnoid haemorrhage, and 151 with intracerebral haemorrhage) were enrolled. The median age of patients was 61 years (IQR 46-71), and the median Glasgow Coma Scale score on admission was 8 (5-11). 40 071 NPi measurements were taken (median 40 per patient [20-50]). The 6-month outcome was assessed in 497 (97%) patients, of whom 160 (32%) patients died, and 241 (47%) patients had at least one recording of abnormal NPi, which was associated with poor neurological outcome (for each 10% increase in the frequency of abnormal NPi, adjusted odds ratio 1·42 [95% CI 1·27-1·64]; p<0·0001) and in-hospital mortality (adjusted hazard ratio 5·58 [95% CI 3·92-7·95]; p<0·0001).

interpretationNPi has clinically and statistically significant prognostic value for neurological outcome and mortality after acute brain injury. Simple, automatic, repeat automated pupillometry assessment could improve the continuous monitoring of disease progression and the dynamics of outcome prediction at the bedside.

fundingNeurOptics.

Indexed as

Brain InjuriesBrain Injuries, TraumaticSubarachnoid HemorrhageAgedCerebral HemorrhageHumansMiddle AgedProspective StudiesPupil

Identifiers

PMID37652068
OpenAlexW4386213995

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.