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Nyholm B, Grand J, Obling LER, Hassager C, Møller JE, Schmidt H, Othman MH, Kondziella D, Horn J, Kjaergaard J. Validating quantitative pupillometry thresholds for neuroprognostication after out-of-hospital cardiac arrest. A predefined substudy of the Blood Pressure and Oxygenations Targets After Cardiac Arrest (BOX)-trial. Intensive Care Med 2024:10.1007/s00134-024-07574-6. [PMID: 39162825 DOI: 10.1007/s00134-024-07574-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Accepted: 07/26/2024] [Indexed: 08/21/2024]
Abstract
PURPOSE Out-of-hospital cardiac arrest (OHCA) survivors face significant risks of complications and death from hypoxic-ischemic brain injury leading to withdrawal of life-sustaining treatment (WLST). Accurate multimodal neuroprognostication, including automated pupillometry, is essential to avoid inappropriate WLST. However, inconsistent study results hinder standardized threshold recommendations. We aimed to validate proposed pupillometry thresholds with no false predictions of unfavorable outcomes in comatose OHCA survivors. METHODS In the multi-center BOX-trial, quantitative measurements of automated pupillometry (quantitatively assessed pupillary light reflex [qPLR] and Neurological Pupil index [NPi]) were obtained at admission (0 h) and after 24, 48, and 72 h in comatose patients resuscitated from OHCA. We aimed to validate qPLR < 4% and NPi ≤ 2, predicting unfavorable neurological conditions defined as Cerebral Performance Category 3-5 at follow-up. Combined with 48-h neuron-specific enolase (NSE) > 60 μg/L, pupillometry was evaluated for multimodal neuroprognostication in comatose patients with Glasgow Motor Score (M) ≤ 3 at ≥ 72 h. RESULTS From March 2017 to December 2021, we consecutively enrolled 710 OHCA survivors (mean age: 63 ± 14 years; 82% males), and 266 (37%) patients had unfavorable neurological outcomes. An NPi ≤ 2 predicted outcome with 0% false-positive rate (FPR) at all time points (0-72 h), and qPLR < 4% at 24-72 h. In patients with M ≤ 3 at ≥ 72 h, pupillometry thresholds significantly increased the sensitivity of NSE, from 42% (35-51%) to 55% (47-63%) for qPLR and 50% (42-58%) for NPi, maintaining 0% (0-0%) FPR. CONCLUSION Quantitative pupillometry thresholds predict unfavorable neurological outcomes in comatose OHCA survivors and increase the sensitivity of NSE in a multimodal approach at ≥ 72 h.
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Affiliation(s)
- Benjamin Nyholm
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark.
| | - Johannes Grand
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Laust E R Obling
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Christian Hassager
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jacob Eifer Møller
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Henrik Schmidt
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Anesthesiology and Intensive Care, Odense University Hospital, Odense, Denmark
| | - Marwan H Othman
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Janneke Horn
- Department of Intensive Care, Amsterdam Neuroscience, Amsterdam University Medical Centre, Amsterdam, The Netherlands
| | - Jesper Kjaergaard
- Department of Cardiology, The Heart Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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Albin CSW, Cunha CB, Glaser TP, Schachter M, Snow JW, Oto B. The Approach to Altered Mental Status in the Intensive Care Unit. Semin Neurol 2024. [PMID: 39137901 DOI: 10.1055/s-0044-1788894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Altered mental status (AMS) is a syndrome posing substantial burden to patients in the intensive care unit (ICU) in both prevalence and intensity. Unfortunately, ICU patients are often diagnosed merely with syndromic labels, particularly the duo of toxic-metabolic encephalopathy (TME) and delirium. Before applying a nonspecific diagnostic label, every patient with AMS should be evaluated for specific, treatable diseases affecting the central nervous system. This review offers a structured approach to increase the probability of identifying specific causal etiologies of AMS in the critically ill. We provide tips for bedside assessment in the challenging ICU environment and review the role and yield of common neurodiagnostic procedures, including specialized bedside modalities of diagnostic utility in unstable patients. We briefly review two common etiologies of TME (uremic and septic encephalopathies), and then review a selection of high-yield toxicologic, neurologic, and infectious causes of AMS in the ICU, with an emphasis on those that require deliberate consideration as they elude routine screening. The final section lays out an approach to the various etiologies of AMS in the critically ill.
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Affiliation(s)
| | - Cheston B Cunha
- Warren Alpert Medical School of Brown University, Providence, Rhode Island
- Rhode Island Hospital, Providence, Rhode Island
| | - Timlin P Glaser
- University of Arizona College of Medicine, Phoenix, Arizona
- Banner University Medical Center, Phoenix, Arizona
| | | | - Jerry W Snow
- University of Arizona College of Medicine, Phoenix, Arizona
- Banner University Medical Center, Phoenix, Arizona
| | - Brandon Oto
- sBridgeport Hospital, Yale New Haven Health, Bridgeport, Connecticut
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Murase M, Yasuda S, Sawano M. Prediction for the prognosis of diffuse axonal injury using automated pupillometry. Clin Neurol Neurosurg 2024; 240:108244. [PMID: 38520767 DOI: 10.1016/j.clineuro.2024.108244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 03/10/2024] [Accepted: 03/11/2024] [Indexed: 03/25/2024]
Abstract
OBJECTIVE Previous studies have reported various predictive indicators of diffuse axonal injury (DAI), but no consensus has not been reached. Although the efficiency of automated pupillometry in patients with consciousness disorder has been widely reported, there are few reports of its use in patients with DAI. This study aimed to investigate the significance of pupillary findings in predicting the prognosis of DAI. PATIENTS AND METHODS We included patients admitted to our center with a diagnosis of DAI from June 1, 2021 to June 30, 2022. Pupillary findings in both eyes were quantitatively measured by automated pupillometry every 2 hours after admission. We statistically examined the correlations between automated pupillometry parameters, the patients' characteristics, and outcomes such as the Glasgow Outcome Scale Extended (GOSE) after 6 months from injury, the time to follow command, and so on. RESULTS Among 22 patients included in this study, five had oculomotor nerve palsy. Oculomotor nerve palsy was correlated with all outcomes, whereas Marshall computed tomography (CT) classification, Injury severity score (ISS) and DAI grade were correlated with few outcomes. Some of the automated pupillometry parameters were significantly correlated with GOSE at 6 months after injury, and many during the first 24 hours of measurement were correlated with the time to follow command. Most of these results were not affected by adjustment using sedation period, ISS or Marshall CT classification. A subgroup analysis of patients without oculomotor nerve palsy revealed that many of the automated pupillometry parameters during the first 24 hours of measurement were significantly correlated with most of the outcomes. The cutoff values that differentiated a good prognosis (GOSE 5-8) from a poor prognosis (GOSE 1-4) were constriction velocity (CV) 1.43 (AUC = 0.81(0.62-1), p = 0.037) and maximum constriction velocity (MCV) 2.345 (AUC = 0.78 (0.58-0.98), p = 0.04). The cutoff values that differentiated the time to follow command into within 7 days and over 8 days were percentage of constriction 8 (AUC = 0.89 (0.68-1), p = 0.011), CV 0.63 (AUC = 0.92 (0.78-1), p = 0.013), MCV 0.855 (AUC = 0.9 (0.74-1), p = 0.017) and average dilation velocity 0.175 (AUC = 0.95 (0.86-1), p = 0.018). CONCLUSIONS The present results indicate that pupillary findings in DAI are a strong predictive indicator of the prognosis, and that quantitative measurement of them using automated pupillometry could facilitate enhanced prediction for the prognosis of DAI.
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Affiliation(s)
- Makoto Murase
- Department of Emergency Medicine and Critical Care, Saitama Medical University, 1981 Kamoda, Kawagoe, Saitama 350-8550, Japan.
| | - Shinichi Yasuda
- Department of Emergency Medicine and Critical Care, Saitama Medical University, 1981 Kamoda, Kawagoe, Saitama 350-8550, Japan
| | - Makoto Sawano
- Department of Emergency Medicine and Critical Care, Saitama Medical University, 1981 Kamoda, Kawagoe, Saitama 350-8550, Japan
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Maxin AJ, Gulek BG, Lee C, Lim D, Mariakakis A, Levitt MR, McGrath LB. Response to Zanier and Citerio, Evaluating a Pupillometry App Considering Sedation's Impact: A Step Unexplored (DOI: 10.1089/neu.2023.0431). J Neurotrauma 2024; 41:296-297. [PMID: 37742117 DOI: 10.1089/neu.2023.0468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2023] Open
Affiliation(s)
- Anthony J Maxin
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Creighton University School of Medicine, Omaha, Nebraska, USA
| | - Bernice G Gulek
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
| | - Chungeun Lee
- Washington State University, Elson S. Floyd College of Medicine, Spokane, Washington, USA
| | - Do Lim
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Stroke & Applied Neuroscience Center, University of Washington, Seattle, Washington, USA
| | - Alex Mariakakis
- Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
| | - Michael R Levitt
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Stroke & Applied Neuroscience Center, University of Washington, Seattle, Washington, USA
- Department of Radiology, University of Washington, Seattle, Washington, USA
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
| | - Lynn B McGrath
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
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Zanier ER, Citerio G. Evaluating a Pupillometry App Considering Sedation's Impact: A Step Unexplored. J Neurotrauma 2024; 41:294-295. [PMID: 37742114 DOI: 10.1089/neu.2023.0431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2023] Open
Affiliation(s)
- Elisa R Zanier
- Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
- Neurological Intensive Care Unit, Department of Neurosciences, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
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Oddo M, Taccone FS, Petrosino M, Badenes R, Blandino-Ortiz A, Bouzat P, Caricato A, Chesnut RM, Feyling AC, Ben-Hamouda N, Hemphill JC, Koehn J, Rasulo F, Suarez JI, Elli F, Vargiolu A, Rebora P, Galimberti S, Citerio G. The Neurological Pupil index for outcome prognostication in people with acute brain injury (ORANGE): a prospective, observational, multicentre cohort study. Lancet Neurol 2023; 22:925-933. [PMID: 37652068 DOI: 10.1016/s1474-4422(23)00271-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 06/17/2023] [Accepted: 07/11/2023] [Indexed: 09/02/2023]
Abstract
BACKGROUND Improving 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. METHODS ORANGE 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. FINDINGS Between 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). INTERPRETATION NPi 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. FUNDING NeurOptics.
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Affiliation(s)
- Mauro Oddo
- Department 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 Taccone
- Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles, Brussels, Belgium
| | - Matteo Petrosino
- School 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 Badenes
- Department of Anesthesiology and Surgical-Trauma Intensive Care, Hospital Clinic Universitari de Valencia, University of Valencia, Valencia, Spain
| | - Aaron Blandino-Ortiz
- Department of Intensive Care Medicine, Ramón y Cajal University Hospital, Universidad de Alcalá, Madrid, Spain
| | - Pierre Bouzat
- Université Grenoble Alpes, Inserm U1216, Grenoble Institut Neurosciences, Department of Anaesthesia and Intensive Care, Centre Hospitalier Universitaire Grenoble, Grenoble, France
| | - Anselmo Caricato
- Department of Anesthesiology and Intensive Care Medicine, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Randall M Chesnut
- Department of Neurological Surgery, and Department of Orthopaedic Surgery, Harborview Medical Center, University of Washington, Seattle, WA, USA
| | - Anders C Feyling
- Department of Anaesthesia and Intensive Care, Oslo University Hospital Ullevål, Oslo, Norway
| | - Nawfel Ben-Hamouda
- Department of Intensive Care Medicine, CHUV-Lausanne University Hospital and University of Lusanne, Lausanne, Switzerland
| | - J Claude Hemphill
- Department of Neurology, University of California San Francisco, San Francisco, CA, USA
| | - Julia Koehn
- Department of Neurology, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany
| | - Frank Rasulo
- Department of Neuroanesthesia and Neurocritical Care, Spedali Civili University Affiliated Hospital of Brescia, Brescia, Italy
| | - Jose I Suarez
- Division of Neurosciences Critical Care, Departments of Anesthesiology and Critical Care Medicine, Neurology, and Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Francesca Elli
- Department of Neuroscience, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
| | - Alessia Vargiolu
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Paola Rebora
- School 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 Galimberti
- School 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 Citerio
- School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy; Department of Neuroscience, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
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Bauerschmidt A, Al-Bermani T, Ali S, Bass B, Dorilio J, Rosenberg J, Al-Mufti F. Modern Sedation and Analgesia Strategies in Neurocritical Care. Curr Neurol Neurosci Rep 2023; 23:149-158. [PMID: 36881257 DOI: 10.1007/s11910-023-01261-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/23/2023] [Indexed: 03/08/2023]
Abstract
PURPOSE OF REVIEW Patients with acute neurologic injury require a specialized approach to critical care, particularly with regard to sedation and analgesia. This article reviews the most recent advances in methodology, pharmacology, and best practices of sedation and analgesia for the neurocritical care population. RECENT FINDINGS In addition to established agents such as propofol and midazolam, dexmedetomidine and ketamine are two sedative agents that play an increasingly central role, as they have a favorable side effect profile on cerebral hemodynamics and rapid offset can facilitate repeated neurologic exams. Recent evidence suggests that dexmedetomidine is also an effective component when managing delirium. Combined analgo-sedation with low doses of short-acting opiates is a preferred sedation strategy to facilitate neurologic exams as well as patient-ventilator synchrony. Optimal care for patients in the neurocritical care population requires an adaptation of general ICU strategies that incorporates understanding of neurophysiology and the need for close neuromonitoring. Recent data continues to improve care tailored to this population.
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Affiliation(s)
- Andrew Bauerschmidt
- Department of Neurology-Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
- Department of Neurosurgery-Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
| | - Tarik Al-Bermani
- Department of Pulmonary, Critical Care, and Sleep Medicine-Westchester Medical Center, Valhalla, NY, USA
| | - Syed Ali
- Department of Neurology-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
| | - Brittany Bass
- Department of Pulmonary, Critical Care, and Sleep Medicine-Westchester Medical Center, Valhalla, NY, USA
| | - Jessica Dorilio
- Department of Neurology-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
| | - Jon Rosenberg
- Department of Neurology-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
- Department of Neurosurgery-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
| | - Fawaz Al-Mufti
- Department of Neurology-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
- Department of Neurosurgery-Westchester Medical Center, New York Medical College, Valhalla, NY, USA
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Kim ISY, Balogun OO, Prescott BR, Saglam H, Olson DM, Speir K, Stutzman SE, Schneider N, Aguilera V, Lussier BL, Smirnakis SM, Dupuis J, Mian A, Greer DM, Ong CJ. Quantitative pupillometry and radiographic markers of intracranial midline shift: A pilot study. Front Neurol 2022; 13:1046548. [PMID: 36561299 PMCID: PMC9763295 DOI: 10.3389/fneur.2022.1046548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 10/20/2022] [Indexed: 12/12/2022] Open
Abstract
Background Asymmetric pupil reactivity or size can be early clinical indicators of midbrain compression due to supratentorial ischemic stroke or primary intraparenchymal hemorrhage (IPH). Radiographic midline shift is associated with worse functional outcomes and life-saving interventions. Better understanding of quantitative pupil characteristics would be a non-invasive, safe, and cost-effective way to improve identification of life-threatening mass effect and resource utilization of emergent radiographic imaging. We aimed to better characterize the association between midline shift at various anatomic levels and quantitative pupil characteristics. Methods We conducted a multicenter retrospective study of brain CT images within 75 min of a quantitative pupil observation from patients admitted to Neuro-ICUs between 2016 and 2020 with large (>1/3 of the middle cerebral artery territory) acute supratentorial ischemic stroke or primary IPH > 30 mm3. For each image, we measured midline shift at the septum pellucidum (MLS-SP), pineal gland shift (PGS), the ratio of the ipsilateral to contralateral midbrain width (IMW/CMW), and other exploratory markers of radiographic shift/compression. Pupil reactivity was measured using an automated infrared pupillometer (NeurOptics®, Inc.), specifically the proprietary algorithm for Neurological Pupil Index® (NPi). We used rank-normalization and linear mixed-effects models, stratified by diagnosis and hemorrhagic conversion, to test associations of radiographic markers of shift and asymmetric pupil reactivity (Diff NPi), adjusting for age, lesion volume, Glasgow Coma Scale, and osmotic medications. Results Of 53 patients with 74 CT images, 26 (49.1%) were female, and median age was 67 years. MLS-SP and PGS were greater in patients with IPH, compared to patients with ischemic stroke (6.2 v. 4.0 mm, 5.6 v. 3.4 mm, respectively). We found no significant associations between pupil reactivity and the radiographic markers of shift when adjusting for confounders. However, we found potentially relevant relationships between MLS-SP and Diff NPi in our IPH cohort (β = 0.11, SE 0.04, P = 0.01), and PGS and Diff NPi in the ischemic stroke cohort (β = 0.16, SE 0.09, P = 0.07). Conclusion We found the relationship between midline shift and asymmetric pupil reactivity may differ between IPH and ischemic stroke. Our study may serve as necessary preliminary data to guide further prospective investigation into how clinical manifestations of radiographic midline shift differ by diagnosis and proximity to the midbrain.
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Affiliation(s)
- Ivy So Yeon Kim
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States,Mass General Brigham, Boston, MA, United States
| | - Oluwafemi O. Balogun
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States,Mass General Brigham, Boston, MA, United States
| | - Brenton R. Prescott
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States,Mass General Brigham, Boston, MA, United States
| | - Hanife Saglam
- Mass General Brigham, Boston, MA, United States,Harvard Medical School, Boston, MA, United States
| | - DaiWai M. Olson
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Kinley Speir
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Sonja E. Stutzman
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Nathan Schneider
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Veronica Aguilera
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Bethany L. Lussier
- University of Texas Southwestern Medical Center, Dallas, TX, United States
| | - Stelios M. Smirnakis
- Mass General Brigham, Boston, MA, United States,Jamaica Plain Veterans Administration Medical Center, Boston, MA, United States
| | - Josée Dupuis
- Boston University School of Public Health, Boston, MA, United States,Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada
| | - Asim Mian
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States
| | - David M. Greer
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States
| | - Charlene J. Ong
- Boston University School of Medicine, Boston, MA, United States,Boston Medical Center, Boston, MA, United States,Mass General Brigham, Boston, MA, United States,Harvard Medical School, Boston, MA, United States,*Correspondence: Charlene J. Ong
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