Evidence map›Paper›PMID 40299976›Full record

Observational studyCritical care explorations2025

Early Pupil Abnormality Frequency Predicts Poor Outcomes and Enhances International Mission for Prognosis and Analysis of Clinical Trials in Traumatic Brain Injury (IMPACT) Model Prognostication in Traumatic Brain Injury.

Divya Veerapaneni, Naveen Arunachalam Sakthiyendran, Yili Du, Leigh Ann Mallinger, Allyson Reinert, So Yeon Kim, Chuong Nguyen, Ali Daneshmand, Mohamad Abdalkader, Shariq Mohammed and 5 more

Abstract readObservational Study
In one paragraph

Observational study in Critical care explorations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Divya VeerapaneniDepartment of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX.
Naveen Arunachalam SakthiyendranBoston University Chobanian and Avedisian School of Medicine, Boston, MA.
Yili DuDepartment of Neurology, Boston Medical Center, 1 Boston Medical Center PI, Boston, MA.
Leigh Ann MallingerDepartment of Neurology, Boston Medical Center, 1 Boston Medical Center PI, Boston, MA.
Allyson ReinertDepartment of Neurology, Boston Medical Center, 1 Boston Medical Center PI, Boston, MA.
So Yeon KimBoston University Chobanian and Avedisian School of Medicine, Boston, MA.
Chuong NguyenDepartment of Neurology, Boston Medical Center, 1 Boston Medical Center PI, Boston, MA.
Ali DaneshmandBoston University Chobanian and Avedisian School of Medicine, Boston, MA.
Mohamad AbdalkaderDepartment of Radiology, Boston Medical Center, 1 Boston Medical Center PI, Boston, MA.
Shariq MohammedDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Josée DupuisDepartment of Biostatistics, Boston University School of Public Health, Boston, MA.
Kevin N ShethCenter for Brain and Mind Health, Yale School of Medicine, New Haven, CT.
Emily J GilmoreDepartment of Neurology, Yale School of Medicine, New Haven, CT.
David GreerBoston University Chobanian and Avedisian School of Medicine, Boston, MA.
Charlene J OngBoston University Chobanian and Avedisian School of Medicine, Boston, MA.ORCID 0000-0003-2377-3025

Funding

Dynamic Risk Prediction of Life-Threatening Mass Effect After Ischemic StrokeK23NS116033 · NINDS · BOSTON MEDICAL CENTER · PI ONG, CHARLENE J · 2021 to 2025
$1.0M
NINDS NIH HHS K23 NS116033
6 · The paper itself

Abstract

importanceIn patients with traumatic brain injury (TBI), baseline pupillary assessment is routine; however, the occurrence rate and clinical significance of pupil abnormalities over the early course of hospitalization remain poorly characterized.

objectivesTo determine whether the occurrence and frequency of pupil abnormalities within the first 72 hours of ICU admission are associated with unfavorable discharge outcomes and to assess whether incorporating this frequency improves the performance of an established prognostic model. DESIGN, SETTING, AND

participantsThis was a retrospective observational study of adults admitted with a primary diagnosis of TBI to a single tertiary care ICU between 2018 and 2022. Inclusion criteria included at least three quantitative pupillometry assessments within the first 72 hours. MAIN OUTCOMES AND MEASURES: Quantitative pupillometry was used to calculate the Neurological Pupil index (NPi) at each assessment. Abnormalities were defined as NPi less than 3 in either eye, NPi asymmetry greater than or equal to 0.7, or pupil size asymmetry greater than or equal to 1 mm. The primary outcome was unfavorable discharge disposition (death, hospice, or long-term care). Multivariable logistic regression was used to evaluate the association between pupil abnormality frequency and outcomes, and model performance was compared using goodness-of-fit tests with and without pupil frequency added to the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) model.

resultsAmong 131 patients (median age, 59 yr; 30% women), 35% had an unfavorable discharge disposition. Pupil abnormalities occurred in 60% of mild, 61% of moderate, and 88% of severe TBI patients. For each 1% increase in the frequency of pupil abnormalities over 72 hours, the odds of unfavorable discharge increased by 3% (odds ratio, 1.03; 95% CI, 1.01-1.05). Adding pupil abnormality frequency to the IMPACT model improved its goodness-of-fit (χ2 = 5.24; p = 0.02). CONCLUSIONS AND RELEVANCE: Pupil abnormalities are common across TBI severities, particularly in severe cases. A higher frequency of abnormal pupil measurements within the first 72 hours is associated with unfavorable outcomes and significantly enhances the predictive performance of established TBI prognostic models. Serial quantitative pupillometry may offer clinically valuable, dynamic prognostic information in the acute care setting.

Indexed as

Brain Injuries, TraumaticPupil DisordersAdultClinical Trials as TopicFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisPupilRetrospective Studiesabnormal pupil functiondischarge dispositionprognosticationpupil anomaliestraumatic brain injury

Identifiers

PMID40299976
PMCPMC12043342

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.