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Martínez-Palacios K, Vásquez-García S, Fariyike OA, Robba C, Rubiano AM. Using Optic Nerve Sheath Diameter for Intracranial Pressure (ICP) Monitoring in Traumatic Brain Injury: A Scoping Review. Neurocrit Care 2024; 40:1193-1212. [PMID: 38114797 PMCID: PMC11147909 DOI: 10.1007/s12028-023-01884-1] [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: 05/02/2023] [Accepted: 10/19/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Neuromonitoring represents a cornerstone in the comprehensive management of patients with traumatic brain injury (TBI), allowing for early detection of complications such as increased intracranial pressure (ICP) [1]. This has led to a search for noninvasive modalities that are reliable and deployable at bedside. Among these, ultrasonographic optic nerve sheath diameter (ONSD) measurement is a strong contender, estimating ICP by quantifying the distension of the optic nerve at higher ICP values. Thus, this scoping review seeks to describe the existing evidence for the use of ONSD in estimating ICP in adult TBI patients as compared to gold-standard invasive methods. MATERIALS AND METHODS This review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews, with a main search of PubMed and EMBASE. The search was limited to studies of adult patients with TBI published in any language between 2012 and 2022. Sixteen studies were included for analysis, with all studies conducted in high-income countries. RESULTS All of the studies reviewed measured ONSD using the same probe frequency. In most studies, the marker position for ONSD measurement was initially 3 mm behind the globe, retina, or papilla. A few studies utilized additional parameters such as the ONSD/ETD (eyeball transverse diameter) ratio or ODE (optic disc elevation), which also exhibit high sensitivity and reliability. CONCLUSION Overall, ONSD exhibits great test accuracy and has a strong, almost linear correlation with invasive methods. Thus, ONSD should be considered one of the most effective noninvasive techniques for ICP estimation in TBI patients.
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Affiliation(s)
- Karol Martínez-Palacios
- Neuroscience Institute, Universidad El Bosque, Bogotá, Colombia
- MEDITECH Foundation, Calle 7a #44-95, Cali, Colombia
| | | | - Olubunmi A Fariyike
- MEDITECH Foundation, Calle 7a #44-95, Cali, Colombia
- Stanford University School of Medicine, Palo Alto, CA, USA
| | - Chiara Robba
- Department of Anesthesia and Intensive Care, Policlinico San Martino, Genoa, Italy
| | - Andrés M Rubiano
- Neuroscience Institute, Universidad El Bosque, Bogotá, Colombia.
- MEDITECH Foundation, Calle 7a #44-95, Cali, Colombia.
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Ahmed N, Kuo YH, Shin SH. Surgical Outcomes of Epidural Hematoma in Trauma Patients with Absent Pupillary Reactions: A National Trauma Data Analysis. J Neurol Surg A Cent Eur Neurosurg 2024. [PMID: 38821065 DOI: 10.1055/s-0044-1786535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2024]
Abstract
BACKGROUND Absent pupillary reaction occasionally heralds a poor prognosis following severe head injury. The purpose of the study was to evaluate the outcome of all patients who underwent acute evacuation of epidural hematoma (EDH) despite absent bilateral pupillary reaction. METHODS The Trauma Quality Improvement Program (TQIP) database for the calendar years 2017 and 2018 was accessed for the study. Adult patients ≥18 years of age who sustained severe traumatic brain injury (TBI) with the diagnosis of EDH and underwent evacuation of the hematoma were included in the study. The patients' characteristics, injury severity score (ISS), Glasgow Coma Scale (GCS) score, midline shift, and comorbidities were compared between patients who had absence of both pupillary reaction (ABPR) and those who presented with presence of both pupillary reaction (PBPR). The primary outcome of the study was in-hospital mortality. Propensity score matching analyses were performed for the study. RESULTS No significant differences were found between the ABPR and PBPR groups regarding the median age (37 years [interquartile range (IQR): 26-53] vs. 40 years [IQR: 28-55]), gender (males; 81.9 vs. 79.5%), median ISS (29 [25.5-34] vs. 27 [25-33]), GCS score (3 [3-4] vs. 3 [3-3], presence of significant midline shift (75.9 vs. 79.5%), and comorbidities. The patients who presented with ABPR had a significantly higher mortality (34.9 vs. 10.8%; p = 0.002). A higher number of patients were discharged to skilled nursing and rehabilitation facilities (16.7 vs. 10.8% and 46.3 vs. 41.9%, respectively; p = 0.045). CONCLUSION Approximately 65% of severe TBI patients survived after the evacuation of the EDH despite the absence of pupillary reaction.
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Affiliation(s)
- Nasim Ahmed
- Division of Trauma & Surgical Critical Care, Jersey Shore University Medical Center, Neptune, New Jersey, United States
- Hackensack Meridian School of Medicine, Nutley, New Jersey, United States
| | - Yen-Hong Kuo
- Office of Research Administration, Hackensack Meridian Health Research Institute, Nutley, New Jersey, United States
- Hackensack Meridian School of Medicine, Nutley, New Jersey, United States
| | - Seung Hoon Shin
- Division of Trauma & Surgical Critical Care, Jersey Shore University Medical Center, Neptune, New Jersey, United States
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Petitt Z, Trillo Ordonez Y, Agwu C, Ott M, Shakir M, Ayala Mullikin A, Davis J, Khalafallah AM, Tang A, Shalita C, Ssembatya JM, Deng DD, Headley J, Obiga O, Haglund MM, Fuller AT. Exploring the feasibility of pupillometry training and perceptions of potential use for intracranial pressure monitoring in Uganda: A mixed methods study. PLoS One 2024; 19:e0298619. [PMID: 38748676 PMCID: PMC11095748 DOI: 10.1371/journal.pone.0298619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 01/26/2024] [Indexed: 05/19/2024] Open
Abstract
INTRODUCTION Traumatic brain injury (TBI) accounts for the majority of Uganda's neurosurgical disease burden; however, invasive intracranial pressure (ICP) monitoring is infrequently used. Noninvasive monitoring could change the care of patients in such a setting through quick detection of elevated ICP. PURPOSE Given the novelty of pupillometry in Uganda, this mixed methods study assessed the feasibility of pupillometry for noninvasive ICP monitoring for patients with TBI. METHODS Twenty-two healthcare workers in Kampala, Uganda received education on pupillometry, practiced using the device on healthy volunteers, and completed interviews discussing pupillometry and its implementation. Interviews were assessed with qualitative analysis, while quantitative analysis evaluated learning time, measurement time, and accuracy of measurements by participants compared to a trainer's measurements. RESULTS Most participants (79%) reported a positive perception of pupillometry. Participants described the value of pupillometry in the care of patients during examination, monitoring, and intervention delivery. Commonly discussed concerns included pupillometry's cost, understanding, and maintenance needs. Perceived implementation challenges included device availability and contraindications for use. Participants suggested offering continued education and engaging hospital leadership as implementation strategies. During training, the average learning time was 13.5 minutes (IQR 3.5), and the measurement time was 50.6 seconds (IQR 11.8). Paired t-tests to evaluate accuracy showed no statistically significant difference in comparison measurements. CONCLUSION Pupillometry was considered acceptable for noninvasive ICP monitoring of patients with TBI, and pupillometer use was shown to be feasible during training. However, key concerns would need to be addressed during implementation to aid device utilization.
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Affiliation(s)
- Zoey Petitt
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Duke University School of Medicine, Durham, NC, United States of America
- Duke University Global Health Institute, Durham, NC, United States of America
| | - Yesel Trillo Ordonez
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
| | - Chibueze Agwu
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Pritzker School of Medicine, The University of Chicago Medical Center, Chicago, IL, United States of America
| | - Maura Ott
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
| | - Muhammad Shakir
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Aga Khan University Hospital, Karachi, Pakistan
| | - Alexandria Ayala Mullikin
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Duke University School of Medicine, Durham, NC, United States of America
| | - Jenna Davis
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- University of Miami Miller School of Medicine, Miami, FL, United States of America
| | - Adham M. Khalafallah
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Department of Neurosurgery, University of Miami, Miami, FL, United States of America
| | - Alan Tang
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
| | - Chidyaonga Shalita
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Duke University School of Medicine, Durham, NC, United States of America
| | - Joseph Mary Ssembatya
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Division of Neurosurgery, Mbarara Regional Referral Hospital, Mbarara, Uganda
| | - Di D. Deng
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
| | - Jennifer Headley
- Duke University Global Health Institute, Durham, NC, United States of America
| | - Oscar Obiga
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Department of Neurosurgery, Mulago National Referral Hospital, Kampala, Uganda
| | - Michael M. Haglund
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Duke University School of Medicine, Durham, NC, United States of America
- Duke University Global Health Institute, Durham, NC, United States of America
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States of America
| | - Anthony T. Fuller
- Duke University Division of Global Neurosurgery and Neurology, Durham, NC, United States of America
- Duke University School of Medicine, Durham, NC, United States of America
- Duke University Global Health Institute, Durham, NC, United States of America
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States of America
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Lenga P, Kühlwein D, Schönenberger S, Neumann JO, Unterberg AW, Beynon C. The use of quantitative pupillometry in brain death determination: preliminary findings. Neurol Sci 2024; 45:2165-2170. [PMID: 38082049 PMCID: PMC11021299 DOI: 10.1007/s10072-023-07251-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 12/06/2023] [Indexed: 04/17/2024]
Abstract
PURPOSE Quantitative pupillometry (QP) has been increasingly applied in neurocritical care as an easy-to-use and reliable technique for evaluating the pupillary light reflex (PLR). Here, we report our preliminary findings on using QP for clinical brain death (BD) determination. MATERIALS This retrospective study included 17 patients ≥ 18 years (mean age, 57.3 years; standard deviation, 15.8 years) with confirmed BD, as defined by German Guidelines for the determination of BD. The PLR was tested using the NPi®-200 Pupillometer (Neuroptics, Laguna Hill, USA), a handheld infrared device automatically tracking and analyzing pupil dynamics over 3 s. In addition, pupil diameter and neurological pupil index (NPi) were also evaluated. RESULTS Intracerebral bleeding, subarachnoid hemorrhage, and hypoxic encephalopathy were the most prevalent causes of BD. In all patients, the NPi was 0 for both eyes, indicating the cessation of mid-brain function. The mean diameter was 4.9 mm (± 1.3) for the right pupil and 5.2 mm (±1.2) for the left pupil. CONCLUSIONS QP is a valuable tool for the BD certification process to assess the loss of PLR due to the cessation of brain stem function. Furthermore, implementing QP before the withdrawal of life-sustaining therapy in brain-injured patients may reduce the rate of missed organ donation opportunities. Further studies are warranted to substantiate the feasibility and potential of this technique in treating patients and identify suitable candidates for this technique during the BD certification process.
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Affiliation(s)
- Pavlina Lenga
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
| | - Daniel Kühlwein
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | | | - Jan-Oliver Neumann
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Andreas W Unterberg
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Christopher Beynon
- Department of Neurosurgery, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
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Martínez-Palacios K, Vásquez-García S, Fariyike OA, Robba C, Rubiano AM. Non-Invasive Methods for Intracranial Pressure Monitoring in Traumatic Brain Injury Using Transcranial Doppler: A Scoping Review. J Neurotrauma 2024. [PMID: 37861291 DOI: 10.1089/neu.2023.0001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023] Open
Abstract
Intracranial pressure (ICP) monitoring is necessary for managing patients with traumatic brain injury (TBI). Although gold-standard methods include intraventricular or intraparenchymal transducers, these systems cannot be used in patients with coagulopathies or in those who are at high risk of catheter-related infections, nor can they be used in resource-constrained settings. Therefore, a non-invasive modality that is more widely available, cost effective, and safe would have tremendous impact. Among such non-invasive choices, transcranial Doppler (TCD) provides indirect ICP estimates through waveform analysis of cerebral hemodynamic changes. The objective of this scoping review is to describe the existing evidence for the use of TCD-derived methods in estimating ICP in adult TBI patients as compared with gold-standard invasive methods. This review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews, with a main search of PubMed and Embase. The search was limited to studies conducted in adult TBI patients published in any language between 2012 and 2022. Twenty-two studies were included for analysis, with most being prospective studies conducted in high-income countries. TCD-derived non-invasive ICP (nICP) methods are either mathematical or non-mathematical, with the former having slightly better correlation with invasive methods, especially when using time-trending ICP dynamics over one-time estimated values. Nevertheless, mathematical methods are associated with greater cost and complexity in their application. Formula-based methods showed promise in excluding elevated ICP, exhibiting a high negative predictive value. Therefore, TCD-derived methods could be useful in assessing ICP changes instead of absolute ICP values for high-risk patients, especially in low-resource settings.
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Affiliation(s)
- Karol Martínez-Palacios
- Neuroscience Institute, Universidad El Bosque, Bogotá, Colombia
- MEDITECH Foundation, Cali, Colombia
| | - Sebastián Vásquez-García
- MEDITECH Foundation, Cali, Colombia
- Neurology Department, Universidad del Rosario, Bogotá, Colombia
| | - Olubunmi A Fariyike
- MEDITECH Foundation, Cali, Colombia
- Faculty of Medicine, Stanford University School of Medicine, Palo Alto, California, USA
| | - Chiara Robba
- Department of Anesthesia and Intensive Care, Policlinico San Martino, Genova, Italy
| | - Andrés M Rubiano
- Neuroscience Institute, Universidad El Bosque, Bogotá, Colombia
- MEDITECH Foundation, Cali, Colombia
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Bogucki A, John I, Zinkiewicz Ł, Jachura M, Jaworski D, Suwała K, Chrost H, Wlodarski M, Kałużny J, Campbell D, Bakken P, Pandya S, Chrapkiewicz R, Manohar SG. Machine learning approach for ambient-light-corrected parameters and the Pupil Reactivity (PuRe) score in smartphone-based pupillometry. Front Neurol 2024; 15:1363190. [PMID: 38654735 PMCID: PMC11037402 DOI: 10.3389/fneur.2024.1363190] [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: 12/30/2023] [Accepted: 03/18/2024] [Indexed: 04/26/2024] Open
Abstract
Introduction The pupillary light reflex (PLR) is the constriction of the pupil in response to light. The PLR in response to a pulse of light follows a complex waveform that can be characterized by several parameters. It is a sensitive marker of acute neurological deterioration, but is also sensitive to the background illumination in the environment in which it is measured. To detect a pathological change in the PLR, it is therefore necessary to separate the contributions of neuro-ophthalmic factors from ambient illumination. Illumination varies over several orders of magnitude and is difficult to control due to diurnal, seasonal, and location variations. Methods and results We assessed the sensitivity of seven PLR parameters to differences in ambient light, using a smartphone-based pupillometer (AI Pupillometer, Solvemed Inc.). Nine subjects underwent 345 measurements in ambient conditions ranging from complete darkness (<5 lx) to bright lighting (≲10,000 lx). Lighting most strongly affected the initial pupil size, constriction amplitude, and velocity. Nonlinear models were fitted to find the correction function that maximally stabilized PLR parameters across different ambient light levels. Next, we demonstrated that the lighting-corrected parameters still discriminated reactive from unreactive pupils. Ten patients underwent PLR testing in an ophthalmology outpatient clinic setting following the administration of tropicamide eye drops, which rendered the pupils unreactive. The parameters corrected for lighting were combined as predictors in a machine learning model to produce a scalar value, the Pupil Reactivity (PuRe) score, which quantifies Pupil Reactivity on a scale 0-5 (0, non-reactive pupil; 0-3, abnormal/"sluggish" response; 3-5, normal/brisk response). The score discriminated unreactive pupils with 100% accuracy and was stable under changes in ambient illumination across four orders of magnitude. Discussion This is the first time that a correction method has been proposed to effectively mitigate the confounding influence of ambient light on PLR measurements, which could improve the reliability of pupillometric parameters both in pre-hospital and inpatient care settings. In particular, the PuRe score offers a robust measure of Pupil Reactivity directly applicable to clinical practice. Importantly, the formulae behind the score are openly available for the benefit of the clinical research community.
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Affiliation(s)
| | - Ivo John
- Solvemed Inc., Lewes, DE, United States
| | | | | | - Damian Jaworski
- Oftalmika Eye Hospital, Bydgoszcz, Poland
- Division of Ophthalmology and Optometry, Department of Ophthalmology, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
| | - Karolina Suwała
- Oftalmika Eye Hospital, Bydgoszcz, Poland
- Department of Sensory Organ Studies, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
| | | | | | - Jakub Kałużny
- Oftalmika Eye Hospital, Bydgoszcz, Poland
- Department of Sensory Organ Studies, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Poland
| | - Doug Campbell
- Space Medicine Group, International Institute for Astronautical Sciences, Boulder, CO, United States
| | - Paul Bakken
- Space Medicine Group, International Institute for Astronautical Sciences, Boulder, CO, United States
| | - Shawna Pandya
- Space Medicine Group, International Institute for Astronautical Sciences, Boulder, CO, United States
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Valentim W, Bertani R, Brasil S. A Narrative Review on Financial Challenges and Health Care Costs Associated with Traumatic Brain Injury in the United States. World Neurosurg 2024; 187:82-92. [PMID: 38583561 DOI: 10.1016/j.wneu.2024.03.175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 03/30/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Traumatic brain injury (TBI) is a highly prevalent and potentially severe medical condition. Challenges regarding TBI management are related to accurate diagnostics, defining its severity, and establishing prompt interventions to affect outcomes. Among the health care components in the TBI handling strategy is intracranial pressure (ICP) monitoring, which is fundamental to therapy decisions. However, ICP monitoring is an Achilles tendon, imposing a significant financial burden on health care systems, particularly in middle and low-income communities. This article arises from the understanding from the authors that there is insufficient scientific evidence about the potential economic impacts from the use of noninvasive technologies in the monitoring of TBI. Based on personal experience, as well as from reading other, clinically focused studies, the thesis is that the use of such technologies could greatly affect the health care system and this article seeks to address this lack of literature, show ways in which such systems could be evaluated, and show estimations of possible results from these investigations. OBJECTIVE This review primarily investigates the economic burden of TBI and whether new technologies are suitable to reduce its health care costs without compromising the quality of care, according to the levels of evidence available. The objective is to stimulate more research and attention in the area. METHODS For this narrative review, a PubMed search was conducted for articles discussing TBI health care costs, as well as monitoring technologies (tomography, magnetic resonance imaging, optic nerve sheath diameter, transcranial Doppler, pupillometry, and noninvasive ICP waveform) and their application in managing TBI. Strategies were first evaluated from a medical noninferiority perspective before calculating the average savings of each selected strategy. All applicable studies were analyzed for quality using the Consolidated Health Economic Evaluation Reporting Standards 2022 Statement117 and this article was written to conform as much as possible with it. RESULTS The review included 109 references and showed a consistent potential in noninvasive technologies to reduce costs and maintain or improve the quality of care. CONCLUSIONS TBI prevalence has increased with a disproportionate health care burden in the last decades. Noninvasive monitoring techniques seem to be effective in reducing TBI health care costs, with few limitations, especially the need for more supporting scientific evidence. The undeniable clinical and financial potential of these techniques is compelling to further investigate their role in TBI management, as well as the creation of more comprehensive monitoring models to the understanding of complex phenomena occurring in the injured brain.
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Affiliation(s)
- Wander Valentim
- Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
| | - Raphael Bertani
- Neurosurgery Division, Department of Neurology, São Paulo University School of Medicine, São Paulo, Brazil
| | - Sergio Brasil
- Neurosurgery Division, Department of Neurology, São Paulo University School of Medicine, São Paulo, Brazil
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Sehrawat SS, Premkumar M. Critical care management of acute liver failure. Indian J Gastroenterol 2024; 43:361-376. [PMID: 38578565 DOI: 10.1007/s12664-024-01556-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/12/2024] [Indexed: 04/06/2024]
Abstract
The management of acute liver failure (ALF) in modern hepatology intensive care units (ICU) has improved patient outcomes. Critical care management of hepatic encephalopathy, cerebral edema, fluid and electrolytes; prevention of infections and organ support are central to improved outcomes of ALF. In particular, the pathogenesis of encephalopathy is multifactorial, with ammonia, elevated intra-cranial pressure and systemic inflammation playing a central role. Although ALF remains associated with high mortality, the availability of supportive care, including organ failure support such as plasma exchange, timely mechanical ventilation or continuous renal replacement therapy, either conservatively manages patients with ALF or offers bridging therapy until liver transplantation. Thus, appropriate critical care management has improved the likelihood of patient recovery in ALF. ICU care interventions such as monitoring of cerebral edema, fluid status assessment and interventions for sepsis prevention, nutritional support and management of electrolytes can salvage a substantial proportion of patients. In this review, we discuss the key aspects of critical care management of ALF.
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Affiliation(s)
- Surender Singh Sehrawat
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India
| | - Madhumita Premkumar
- Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, 160 012, India.
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Zewdu M, Mersha AT, Ashagre HE, Arefayne NR, Tegegne BA. Incidence of intraoperative hypotension and its factors among adult traumatic head injury patients in comprehensive specialized hospitals, Northwest Ethiopia: a multicenter observational study. BMC Anesthesiol 2024; 24:125. [PMID: 38561657 PMCID: PMC10983668 DOI: 10.1186/s12871-024-02511-y] [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: 01/10/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024] Open
Abstract
INTRODUCTION Traumatic head injury (THI) poses a significant global public health burden, often contributing to mortality and disability. Intraoperative hypotension (IH) during emergency neurosurgery for THI can adversely affect perioperative outcomes, and understanding associated risk factors is essential for prevention. METHOD A multi-center observational study was conducted from February 10 to June 30, 2022. A simple random sampling technique was used to select the study participants. Patient data were analyzed using bivariate and multivariate logistic regression to identify significant factors associated with intraoperative hypotension (IH). Odds ratios with 95% confidence intervals were used to show the strength of association, and P value < 0.05 was considered as statistically significant. RESULT The incidence of intra-operative hypotension was 46.41% with 95%CI (39.2,53.6). The factors were duration of anesthesia ≥ 135 min with AOR: 4.25, 95% CI (1.004,17.98), severe GCS score with AOR: 7.23, 95% CI (1.098,47.67), intracranial hematoma size ≥ 15 mm with AOR: 7.69, 95% CI (1.18,50.05), and no pupillary abnormality with AOR: 0.061, 95% CI (0.005,0.732). CONCLUSION AND RECOMMENDATION: The incidence of intraoperative hypotension was considerably high. The duration of anesthesia, GCS score, hematoma size, and pupillary abnormalities were associated. The high incidence of IH underscores the need for careful preoperative neurological assessment, utilizing CT findings, vigilance for IH in patients at risk, and proactive management of IH during surgery. Further research should investigate specific mitigation strategies.
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Affiliation(s)
- Melaku Zewdu
- Department of Anesthesia, School of Medicine, College of Medicine and Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
| | - Abraham Tarekegn Mersha
- Department of Anesthesia, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henos Enyew Ashagre
- Department of Anesthesia, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Nurhusen Riskey Arefayne
- Department of Anesthesia, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Biresaw Ayen Tegegne
- Department of Anesthesia, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
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Tomioka T, Shimoyama K, Tanino Y, Hirayama M, Homma H. Utility of Automated Infrared Pupillometry in Assessing the Prolonged Course of Organophosphate Poisoning: A Case Report. Cureus 2024; 16:e58872. [PMID: 38800312 PMCID: PMC11116839 DOI: 10.7759/cureus.58872] [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] [Accepted: 04/23/2024] [Indexed: 05/29/2024] Open
Abstract
Central and autonomic nervous system signs of organophosphate poisoning (OP), such as altered consciousness, noticeable lacrimation, and salivation, can be influenced by medications used in intensive care settings, such as atropine and pralidoxime methyl (PAM). Because of this, there are no established methods for assessing the duration of OP while receiving antidotal treatment. In the present case, we used the Neurological Pupil Index (NPi) to evaluate the duration of OP in an 82-year-old woman who attempted suicide by ingesting up to 100 mL of fenitrothion. Until hospitalization day (HD) 20, discontinuation of atropine led to the recurrence of altered consciousness, while its reinstatement resulted in improvement; this made it difficult to assess the prolongation of OP based on signs and symptoms. Until HD 20, the NPi remained at 0/0, and subsequently, it increased. Additionally, even after discontinuing atropine, consciousness, tearing, and salivation did not worsen, indicating recovery from OP. On HD 26, serum acetylcholinesterase (AChE) levels were elevated above the measurable level for the first time, following an increase in the NPi. In this case, assessing the persistence of OP based on signs was challenging because these signs improved with atropine and PAM treatment. The improvement in NPi levels coincided with an improvement in poisoning, suggesting that NPi is useful for evaluating the duration of OP. NPi is noninvasive and sensitive compared to AChE, which is used to gauge the persistence of OP and could be used to allow earlier cessation of medication and guide appropriate treatment durations.
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Affiliation(s)
- Takuya Tomioka
- Department of Emergency and Critical Care Medicine, Tokyo Medical University, Tokyo, JPN
| | - Keiichiro Shimoyama
- Department of Emergency and Critical Care Medicine, Tokyo Medical University, Tokyo, JPN
| | - Yusuke Tanino
- Department of Emergency and Critical Care Medicine, Tokyo Medical University, Tokyo, JPN
| | - Masaru Hirayama
- Department of Emergency and Critical Care Medicine, Tokyo Medical University, Tokyo, JPN
| | - Hiroshi Homma
- Department of Emergency and Critical Care Medicine, Tokyo Medical University, Tokyo, JPN
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Ali AMS, Gul W, Sen J, Hewitt SJ, Olubajo F, McMahon C. Evaluating the utility of quantitative pupillometry in a neuro-critical care setting for the monitoring of intracranial pressure: A prospective cohort study. Clin Neurol Neurosurg 2024; 239:108215. [PMID: 38447480 DOI: 10.1016/j.clineuro.2024.108215] [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: 12/17/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024]
Abstract
INTRODUCTION Assessment of the pupillary light reflex (PLR) is key in intensive care monitoring of neurosurgical patients, particularly for monitoring intracranial pressure (ICP). Quantitative pupillometry using a handheld pupillometer is a reliable method for PLR assessment. However, many variables are derived from such devices. We therefore aimed to assess the performance of these variables at monitoring ICP. METHODS Sedated patients admitted to neurocritical care in a tertiary neurosurgical centre with invasive ICP monitoring were included. Hourly measurement of ICP, subjective pupillometry (SP) using a pen torch device, and quantitative pupillometry (QP) using a handheld pupillometer were performed. RESULTS 561 paired ICP, SP and QP pupillary observations from nine patients were obtained (1122 total pupillary observations). SP and QP had a moderate concordance for pupillary size (κ=0.62). SP performed poorly at detecting pupillary size changes (sensitivity=24%). In 40 (3.6%) observations, SP failed to detect a pupillary response whereas QP did. Moderate correlations with ICP were detected for maximum constriction velocity (MCV), dilation velocity (DV), and percentage change in pupillary diameter (%C). Discriminatory ability at an ICP threshold of >22 mmHg was moderate for MCV (AUC=0.631), DV (AUC=0.616), %C (AUC=0.602), and pupillary maximum size (AUC=0.625). CONCLUSION QP is superior to SP at monitoring pupillary reactivity and changes to pupillary size. Although effect sizes were moderate to weak across assessed variables, our data indicates MCV and %C as the most sensitive variables for monitoring ICP. Further study is required to validate these findings and to establish normal range cut-offs for clinical use.
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Affiliation(s)
- Ahmad M S Ali
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK.
| | - Wisha Gul
- St Helens and Knowsley NHS Foundation Trust, Prescot, UK
| | - Jon Sen
- School of Medicine, Keele University, Newcastle-under-Lyme, UK
| | - Sarah-Jane Hewitt
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Farouk Olubajo
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Catherine McMahon
- Department of Neurosurgery, The Walton Centre NHS Foundation Trust, Liverpool, UK
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Chaisawasthomrong C, Saetia K. Independent Factors Associated with 30-Day In-Hospital Mortality from Acute Spontaneous Intracerebral Hemorrhage. World Neurosurg 2024; 184:e774-e783. [PMID: 38354769 DOI: 10.1016/j.wneu.2024.02.035] [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: 09/07/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 02/16/2024]
Abstract
OBJECTIVE This study aims to investigate independent factors associated with 30-day mortality in patients with acute spontaneous intracerebral hemorrhage (SICH) before treatment. METHODS A retrospective analysis was performed on medical records of patients hospitalized with acute SICH between 2019 and 2021. Data included personal history, hospital stay duration, symptom onset, chief complaint, underlying diseases, medication, and alcohol/smoking habits. Physical examination records comprised baseline blood pressure, Glasgow Coma Scale assessment, and pupil reaction evaluation. Diagnostic imaging, specifically computed tomography brain scans, was examined for hemorrhage details. Multivariable logistic analysis was utilized for data analysis. RESULTS Among 663 cases, 185 (27.9%) experienced mortality. Risk factors for mortality included chronic kidney disease, ischemic heart disease, loss of follow-up in hypertension clinic, and pontine hemorrhage. Conversely, motor response (m), reactive pupils, and basal cistern persistence significantly decreased the risk of mortality in multivariable analysis. Receiver operating characteristic analysis identified a m score of 5 as the cutoff for predicting survival. CONCLUSIONS Chronic kidney disease, ischemic heart disease, loss of hypertension follow-up, m, reactive pupils, pontine hemorrhage, and basal cistern persistence were independent variables associated with the 30-day mortality rate in SICH patients before treatment initiation. A m, pupil reaction, and basal cistern persistence serve as predictive tools for assessing mortality in SICH before treatment.
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Affiliation(s)
| | - Kriangsak Saetia
- Division of Neurosurgery, Department of Surgery, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
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13
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Stanley BN, Rizvi HB, Sahhar HS. Rapidly Progressive Fatal Pneumococcal Meningitis in a Fully Immunized Child With a History of Facial Bone Fractures. Cureus 2024; 16:e59204. [PMID: 38807822 PMCID: PMC11131434 DOI: 10.7759/cureus.59204] [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: 03/13/2024] [Accepted: 04/26/2024] [Indexed: 05/30/2024] Open
Abstract
Meningitis is the inflammation of meninges either septic or aseptic depending on the source of infection. Typical signs and symptoms of meningitis in children include fever, headache, neck stiffness, nuchal rigidity represented by positive Kernig and Brudzinski signs, photophobia, nausea, vomiting, confusion, lethargy, and irritability. Bacterial meningitis is commonly caused by Streptococcus pneumoniae in children over the age of three months. Although there has been a decline in infections due to the introduction of the pneumococcal conjugate and pneumococcal polysaccharide vaccines, there are still reported cases of invasive pneumococcal infections mostly with non-vaccine serotypes. We report a fully immunized six-year-old male patient with a presentation of classic meningitis signs and symptoms who developed rapid progression of disease including sudden and dramatic change in physical exam and subsequent respiratory depression within 12 hours of admission. Our patient had a history of extensive traumatic facial bone fractures six months prior. Our case demonstrates a unique presentation of rapidly progressing pneumococcal meningitis due to a suspected complication of septic thrombophlebitis and subsequent brain herniation in a fully immunized patient six months after a severe traumatic facial injury.
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Affiliation(s)
- Brianna N Stanley
- Pediatrics, Edward Via College of Osteopathic Medicine, Spartanburg, USA
| | - Haya B Rizvi
- Pediatrics, Edward Via College of Osteopathic Medicine, Blacksburg, USA
| | - Hanna S Sahhar
- Pediatric Intensive Care Unit, Spartanburg Regional Healthcare System, Spartanburg, USA
- Pediatrics, Edward Via College of Osteopathic Medicine, Spartanburg, USA
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14
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Thuccani M, Joelsson S, Lilja L, Strålin A, Nilsson J, Redfors P, Rawshani A, Herlitz J, Lundgren P, Rylander C. The capacity of neurological pupil index to predict the absence of somatosensory evoked potentials after cardiac arrest - An observational study. Resusc Plus 2024; 17:100567. [PMID: 38328749 PMCID: PMC10848026 DOI: 10.1016/j.resplu.2024.100567] [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: 12/22/2023] [Revised: 01/17/2024] [Accepted: 01/21/2024] [Indexed: 02/09/2024] Open
Abstract
Background In neurologic prognostication of comatose survivors from cardiac arrest, two independent predictors of poor outcome are the loss of the Pupillary light reflex (PLR) and the loss of the N20 response from Somatosensory Evoked potentials (SSEP). The PLR can be quantitatively assessed by pupillometry. Both tests depend on the midbrain, in which a dysfunction reflects a severe hypoxic injury. We reasoned that a certain level of defective PLR would be predictive of a bilaterally absent SSEP N20 response. Method Neurological Pupil index (NPi) from the pupillometry and the SSEP N20 response were registered >48 h after cardiac arrest in comatose survivors. Clinical data were retrospectively analyzed. A receiver operating characteristic curve was used to evaluate the capacity of NPi to predict bilaterally absent SSEP N20 response. An NPi threshold value resulting in <5% false positive rate (FPR) for bilaterally absent N20 response was identified. Results From February 2020 to August 2022, we included 54 patients out of which 49 had conclusive pupillometry and SSEP examinations. The NPi threshold value with FPR < 5% was 3.4, yielding 36% sensitivity (95% CI 18-55) and significantly discriminated between respective groups with preserved and bilaterally absent N20 response to SSEP (p-value <0.01). Conclusion In this limited cohort, NPi < 3.4 in patients remaining comatose >48 hours after cardiac arrest predicted bilateral loss of the SSEP N20 response with a FPR < 5%. If validated in a larger cohort, an NPi threshold may be clinically applied in settings where SSEP is unavailable.
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Affiliation(s)
- Meena Thuccani
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Sara Joelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Clinical Neurophysiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Linus Lilja
- Department of Anaesthesiology and Intensive Care Medicine, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Anaesthesia and Intensive Care, Karlstad Central Hospital, Karlstad, Sweden
| | - Axel Strålin
- Department of Anaesthesiology and Intensive Care Medicine, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Josefin Nilsson
- Department of Clinical Neurophysiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Petra Redfors
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Araz Rawshani
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Johan Herlitz
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Prehospen – Centre for Prehospital Research, University of Borås, Sweden
| | - Peter Lundgren
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Prehospen – Centre for Prehospital Research, University of Borås, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Christian Rylander
- Anaesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
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Lovett ME, MacDonald JM, Mir M, Ghosh S, O'Brien NF, LaRovere KL. Noninvasive Neuromonitoring Modalities in Children Part I: Pupillometry, Near-Infrared Spectroscopy, and Transcranial Doppler Ultrasonography. Neurocrit Care 2024; 40:130-146. [PMID: 37160846 DOI: 10.1007/s12028-023-01730-4] [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: 05/20/2022] [Accepted: 04/03/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Noninvasive neuromonitoring in critically ill children includes multiple modalities that all intend to improve our understanding of acute and ongoing brain injury. METHODS In this article, we review basic methods and devices, applications in clinical care and research, and explore potential future directions for three noninvasive neuromonitoring modalities in the pediatric intensive care unit: automated pupillometry, near-infrared spectroscopy, and transcranial Doppler ultrasonography. RESULTS All three technologies are noninvasive, portable, and easily repeatable to allow for serial measurements and trending of data over time. However, a paucity of high-quality data supporting the clinical utility of any of these technologies in critically ill children is currently a major limitation to their widespread application in the pediatric intensive care unit. CONCLUSIONS Future prospective multicenter work addressing major knowledge gaps is necessary to advance the field of pediatric noninvasive neuromonitoring.
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Affiliation(s)
- Marlina E Lovett
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, OH, USA
| | - Jennifer M MacDonald
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, OH, USA
| | - Marina Mir
- Division of Pediatric Critical Care, Montreal Children's Hospital and McGill University, Montreal, Canada
| | - Suman Ghosh
- Department of Neurology, State University of New York Downstate College of Medicine, Brooklyn, NY, USA
| | - Nicole F O'Brien
- Division of Critical Care Medicine, Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, OH, USA
| | - Kerri L LaRovere
- Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA.
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16
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Modi P, Bhoi S, Aggarwal P, Nayer J, Sinha TP, Ekka M, Mishra PR, Kumar A, Pandey S. Feasibility of USG-Guided Objective Initial Assessment of Pupillary Size and Pupillary Reflexes Versus Clinical Examination in Patients With Altered Mental Status: A Cross-Sectional Study. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2024; 43:335-346. [PMID: 37948504 DOI: 10.1002/jum.16366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/19/2023] [Accepted: 10/18/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND Pupillary assessment is an important part of the neurological assessment which provides vital information in critically ill patients. However, clinical pupillary assessment is subjective. The ultrasound-guided pupillary examination is objective. There are limited pieces of literature regarding its use in assessing patients with altered mental status. So, we studied the extent of agreement of B-mode ultrasound with clinical examination for assessment of the pupillary size and reflex in patients with altered mental status. OBJECTIVES The primary objective was to determine the extent of agreement between clinical examination and ultrasound-based examination for assessing pupillary reflex and size in patients with altered mental status in two settings (trauma and non-trauma patients). METHODS Exactly 200 subjects (158 males, mean [range] age 43.56 [18-92 years]) with no history of partial globe rupture or dementia were included in this cross-sectional study from March 2019 to March 2020. B-mode ultrasound was performed with the subject's eyes closed using a 7-12 MHz linear probe and a standardized light stimulus. ICC score, paired t-test, kappa, Wilcoxon signed-rank test, and Bland-Altman plots were used for statistical analysis. RESULTS The clinical-USG agreement for pupillary light reflex examination (Pupillary Diameter [PD] at rest, after direct light stimulation [Dstim ] and consensual light stimulation [Cstim ]) was excellent (ICC, 0.93-0.96). The Kappa coefficient (0.74 ± 0.07) showed an agreement of 87.36% between clinical and USG examination for pupillary reflex (reactive or non-reactive). CONCLUSION USG-guided pupillary examination proves to be a better adjunct to neurological assessment in patients with altered mental status.
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Affiliation(s)
- Priyanka Modi
- Department of Emergency Medicine, AIIMS, New Delhi, India
| | - Sanjeev Bhoi
- Department of Emergency Medicine, AIIMS, New Delhi, India
| | | | - Jamshed Nayer
- Department of Emergency Medicine, AIIMS, New Delhi, India
| | | | - Meera Ekka
- Department of Emergency Medicine, AIIMS, New Delhi, India
| | | | - Akshay Kumar
- Department of Emergency Medicine, AIIMS, New Delhi, India
| | - Savan Pandey
- Department of Emergency Medicine, AIIMS, New Delhi, India
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17
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Vrettou CS, Fragkou PC, Mallios I, Barba C, Giannopoulos C, Gavrielatou E, Dimopoulou I. The Role of Automated Infrared Pupillometry in Traumatic Brain Injury: A Narrative Review. J Clin Med 2024; 13:614. [PMID: 38276120 PMCID: PMC10817296 DOI: 10.3390/jcm13020614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/15/2024] [Accepted: 01/20/2024] [Indexed: 01/27/2024] Open
Abstract
Pupillometry, an integral component of neurological examination, serves to evaluate both pupil size and reactivity. The conventional manual assessment exhibits inherent limitations, thereby necessitating the development of portable automated infrared pupillometers (PAIPs). Leveraging infrared technology, these devices provide an objective assessment, proving valuable in the context of brain injury for the detection of neuro-worsening and the facilitation of patient monitoring. In cases of mild brain trauma particularly, traditional methods face constraints. Conversely, in severe brain trauma scenarios, PAIPs contribute to neuro-prognostication and non-invasive neuromonitoring. Parameters derived from PAIPs exhibit correlations with changes in intracranial pressure. It is important to acknowledge, however, that PAIPs cannot replace invasive intracranial pressure monitoring while their widespread adoption awaits robust support from clinical studies. Ongoing research endeavors delve into the role of PAIPs in managing critical neuro-worsening in brain trauma patients, underscoring the non-invasive monitoring advantages while emphasizing the imperative for further clinical validation. Future advancements in this domain encompass sophisticated pupillary assessment tools and the integration of smartphone applications, emblematic of a continually evolving landscape.
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Affiliation(s)
- Charikleia S. Vrettou
- First Department of Critical Care Medicine & Pulmonary Services, Evangelismos Hospital, Medical School, National and Kapodistrian University of Athens, 10676 Athens, Greece (I.D.)
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18
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Banco P, Taccone FS, Sourd D, Privitera C, Bosson JL, Teixeira TL, Adolle A, Payen JF, Bouzat P, Gauss T. Prediction of neurocritical care intensity through automated infrared pupillometry and transcranial doppler in blunt traumatic brain injury: the NOPE study. Eur J Trauma Emerg Surg 2024:10.1007/s00068-023-02435-1. [PMID: 38226989 DOI: 10.1007/s00068-023-02435-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 12/28/2023] [Indexed: 01/17/2024]
Abstract
PURPOSE This pilot study aimed to determine the capacity of automated infrared pupillometry (AIP) alone and in combination with transcranial doppler (TCD) on admission to rule out need for intense neuroAQ2 critical care (INCC) in severe traumatic brain injury (TBI). METHODS In this observational pilot study clinicians performed AIP and TCD measurements on admission in blunt TBI patients with a Glasgow Coma Score (GCS) < 9 and/or motor score < 6. A Neurological Pupil index (NPi) < 3, Pulsatility Index (PI) > 1,4 or diastolic blood flow velocity (dV) of < 20 cm/s were used to rule out the need for INCC (exceeding the tier 0 Seattle Consensus Conference). The primary outcome was the negative likelihood ratio (nLR) of NPi < 3 alone or in combination with TCD to detect need for INCC. RESULTS A total of 69 TBI patients were included from May 2019 to September 2020. Of those, 52/69 (75%) median age was 45 [28-67], median prehospital GCS of 7 [5-8], median Injury Severity Scale of 13.0 [6.5-25.5], median Marshall Score of 4 [3-5], the median Glasgow Outcome Scale at discharge was 3 [1-5]. NPi < 3 was an independent predictor of INCC. NPi demonstrated a nLR of 0,6 (95%CI 0.4-0.9; AUROC, 0.65, 95% CI 0.51-0.79), a combination of NPi and TCD showed a nLR of 0.6 (95% CI 0.4-1.0; AUROC 0.67 95% CI 0.52-0.83) to predict INCC. CONCLUSION This pilot study suggests a possible useful contribution of NPi to determine the need for INCC in severe blunt TBI patients on admission.
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Affiliation(s)
- Pierluigi Banco
- Department of Anaesthesia and Intensive Care, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble, and Inserm, U1216, Grenoble Institut Neurosciences, 38000, Grenoble, France
| | - Fabio Silvio Taccone
- Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Dimitri Sourd
- Department of Public Health, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Claudio Privitera
- School of Optometry and Vision Science, University of California, Berkeley, Berkeley, CA, USA
| | - Jean-Luc Bosson
- Department of Public Health, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble Alpes, Grenoble, France
| | - Thomas Luz Teixeira
- Department of Intensive Care, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Anais Adolle
- Department of Anaesthesia and Intensive Care, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble, and Inserm, U1216, Grenoble Institut Neurosciences, 38000, Grenoble, France
| | - Jean-François Payen
- Department of Anaesthesia and Intensive Care, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble, and Inserm, U1216, Grenoble Institut Neurosciences, 38000, Grenoble, France
| | - Pierre Bouzat
- Department of Anaesthesia and Intensive Care, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble, and Inserm, U1216, Grenoble Institut Neurosciences, 38000, Grenoble, France
| | - Tobias Gauss
- Department of Anaesthesia and Intensive Care, Univ. Grenoble Alpes, Centre Hospitalier Universitaire Grenoble, and Inserm, U1216, Grenoble Institut Neurosciences, 38000, Grenoble, France.
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Rattan Y, Girgla KK, Mahajan G, Prasher P. Interdevice Agreement between a Smartphone and a Commercial Pupillometer. Int J Appl Basic Med Res 2024; 14:23-28. [PMID: 38504836 PMCID: PMC10947756 DOI: 10.4103/ijabmr.ijabmr_396_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/14/2023] [Accepted: 12/15/2023] [Indexed: 03/21/2024] Open
Abstract
Background The reliability of dynamic pupillometry parameters varies from one pupillometer to another, making it difficult to standardize the values for any particular device. Hence, further studies are required to evaluate the agreement of various pupillometer devices and explore their utility in routine clinical settings. Aim This study sought to evaluate the agreement between smartphone and commercial pupillometer measurements in routine clinical settings. Methods The study included pupillary measurements obtained by a single investigator from 100 healthy participants (200 eyes) with each pupillometer. Pupillary measurements taken by a smartphone pupillometry application (reflex pupillary light reflex analyzer by Brightlamp [Indianapolis, IN, USA]) were compared with a commercial pupillometer (neurological pupil index-200, NeurOptics Inc., Irvine, USA). Results The comparison of descriptive statistics revealed a statistically significant difference between the smartphone and commercial pupillometers for various parameters, including maximum diameter, minimum diameter, constriction velocity (CV), maximum CV, and dilatation velocity (P < 0.05), except for latency (P = 0.36). The intraclass correlation coefficient revealed poor agreement between the two devices (<0.50). Conclusion The measurements by smartphone pupillometry application were found to be unreliable, indicating that they may not be an ideal substitute for commercial pupillometers in their present form in the Indian population. Further studies with larger sample size as well as improvements in the processing and interpretation of the measurements by the software, are needed to determine its utility in routine clinical settings.
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Affiliation(s)
- Yamini Rattan
- Department of Physiology, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India
| | - Kawalinder Kaur Girgla
- Department of Physiology, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India
| | - Gaurav Mahajan
- Department of Ophthalmology, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India
| | - Pawan Prasher
- Department of Ophthalmology, Sri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India
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20
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Gil-Casas A, Piñero DP, Molina-Martín A. Dynamic Pupillary Response in Multiple Sclerosis Patients with and without Optic Neuritis. Biomedicines 2023; 11:3332. [PMID: 38137553 PMCID: PMC10741580 DOI: 10.3390/biomedicines11123332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/04/2023] [Accepted: 12/14/2023] [Indexed: 12/24/2023] Open
Abstract
Multiple sclerosis (MS) is a neurodegenerative disease that affects the central nervous system which produces abnormalities in visual function, as disturbed pupillary responses, even after an episode of optic neuritis (ON). The aim was to assess different parameters of the pupillary response in MS subjects with and without ON. Therefore, 24 eyes of healthy age-matched subjects were included, 22 eyes of subjects with MS (MS group), and 13 subjects with MS with previous ON (MSON group). Pupillary parameters (ratio pupil max/min; latency; velocity and duration; contraction and dilation; and amplitude of contraction) were recorded with the MYAH topographer. Statistical analysis was performed by IBM SPSS Statistics, and parametrical or non-parametrical tests were used according to the normality of the data. MS patients did not significantly differ from healthy patients in any of the parameters analyzed (p > 0.05). Only patients with previous ON were different from healthy patients in the amplitude (40.71 ± 6.73% vs. 45.22 ± 3.29%, respectively) and latency of contraction (0.35 ± 0.13 s vs. 0.26 ± 0.05 s, respectively). The time to recover 75% of the initial diameter was abnormal in 9% of the MS subjects and 12% of MSON subjects. Based on the results of this study, the contraction process, especially latency and amplitude, was found to be affected in subjects with MS and previous ON. The degree of disability and the relation of the decrease in pupil response with other indicators of MS disease should be further investigated considering other comorbidities such as ON in the affection.
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Affiliation(s)
- Amparo Gil-Casas
- Optometric Clinic, Foundation Lluís Alcanyís, University of Valencia, 46020 Valencia, Spain
| | - David P. Piñero
- Group of Optics and Visual Perception (GOPV), Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 Alicante, Spain
| | - Ainhoa Molina-Martín
- Group of Optics and Visual Perception (GOPV), Department of Optics, Pharmacology and Anatomy, University of Alicante, 03690 Alicante, Spain
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Maxin AJ, Gulek BG, Chae J, Winston G, Weisbeek P, McGrath LB, Levitt MR. A smartphone pupillometry tool for detection of acute large vessel occlusion. J Stroke Cerebrovasc Dis 2023; 32:107430. [PMID: 37857150 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107430] [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: 09/07/2023] [Revised: 10/03/2023] [Accepted: 10/12/2023] [Indexed: 10/21/2023] Open
Abstract
OBJECTIVES Pupillary light reflex (PLR) parameters can be used as quantitative biomarkers of neurological function. Since digital infrared pupillometry is expensive, we sought to examine alterations in PLR parameters using a smartphone quantitative pupillometry platform in subjects with acute ischemic stroke (AIS). MATERIALS AND METHODS Patients were enrolled if they presented to the emergency department as a stroke code activation and had evidence of a large vessel occlusion (LVO) on computed tomography angiography. Controls were enrolled from hospital staff. A smartphone pupillometer was used in AIS patients with LVO pre-mechanical thrombectomy, immediately post-thrombectomy, and at 24 h post-thrombectomy. Clinical and demographic data were collected, along with the proprietary Neurological Pupil index (NPi) score from the NPi-200 digital infrared pupillometer. PLR parameters were compared using mean differences. The absolute and non-absolute inter-eye difference in each parameter for each subject were also analyzed by measuring 1 - (R:L) to determine alteration in the equilibrium between subject pupils. The NPi was analyzed for mean differences between cohorts. RESULTS Healthy controls (n = 132) and AIS patients (n = 31) were enrolled. Significant differences were observed in PLR parameters for healthy subjects when compared to pre-thrombectomy subjects in both mean and absolute inter-eye differences after post hoc Bonferroni correction. The proprietary NPi score was not significantly different for all groups and comparisons. CONCLUSIONS Significant alterations in the PLR were observed in AIS patients with LVO before thrombectomy, indicating the potential use of smartphone pupillometry for detection of LVO.
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Affiliation(s)
- Anthony J Maxin
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA; School of Medicine, Creighton University, Omaha, NE, USA
| | - Bernice G Gulek
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA
| | - John Chae
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Graham Winston
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | | | - Lynn B McGrath
- Department of Neurological Surgery, Weill Cornell Medicine, New York, NY, USA
| | - Michael R Levitt
- Department of Neurological Surgery, University of Washington, Seattle, WA, USA; Department of Radiology, University of Washington, Seattle, WA, USA; Department of Mechanical Engineering, University of Washington, Seattle, WA, USA; Stroke & Applied Neuroscience Center, University of Washington, Seattle, WA, USA.
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22
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Nyholm B, Grand J, Obling LER, Hassager C, Møller JE, Schmidt H, Othman MH, Kondziella D, Kjaergaard J. Quantitative pupillometry for neuroprognostication in comatose post-cardiac arrest patients: A protocol for a predefined sub-study of the Blood pressure and Oxygenations Targets after Out-of-Hospital Cardiac Arrest (BOX)-trial. Resusc Plus 2023; 16:100475. [PMID: 37779885 PMCID: PMC10540039 DOI: 10.1016/j.resplu.2023.100475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2023] Open
Abstract
Background Resuscitation guidelines propose a multimodal prognostication strategy algorithm at ≥72 hours after the return of spontaneous circulation to evaluate neurological outcome for unconscious cardiac arrest survivors. Even though guidelines suggest quantitative pupillometry for assessing pupillary light reflex, threshold values are not yet validated.This study aims to validate pre-specified thresholds of quantitative pupillometry by quantitatively assessing the percentage reduction of pupillary size (qPLR) <4% and Neurological Pupil index (NPi) ≤2 and in predicting unfavorable neurological outcome. Both as an isolated predictor and combined with guideline-suggested neuron-specific enolase (NSE) threshold >60 μg L-1 in the current prognostication strategy algorithm. Methods We conduct this pre-planned diagnostic sub-study in the randomized, controlled, multicenter clinical trial "Blood Pressure and Oxygenation Targets after Out-of-Hospital Cardiac Arrest-trial". Blinded to treating physicians and outcome assessors, measurements of qPLR and NPi are obtained from cardiac arrest survivors at time points (±6 hours) of admission, after 24, 48, and 72 hours, or until the time of awakening or death. Discussion This study will be the largest prospective study investigating the predictive performance of automated quantitative pupillometry in unconscious patients resuscitated from cardiac arrest. We will test specific threshold values of NPi ≤2 and qPLR <4% to predict unfavorable outcome following cardiac arrest. The validation of pupillometry alone and combined with NSE with the criteria of the current prognostication strategy algorithm will hopefully increase the level of evidence and support clinical neuroprognostication with automated quantitative pupillometry in unconscious post-cardiac arrest patients. Trial registration Registered March 30, 2017, at ClinicalTrials.gov (Identifier: NCT03141099).
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Affiliation(s)
- Benjamin Nyholm
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Johannes Grand
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | | | - Christian Hassager
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jacob Eifer Møller
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Cardiology, Odense University Hospital, 5000 C 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
- Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Neurology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Jesper Kjaergaard
- Department of Cardiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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23
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Ney LJ, O'Donohue M, Wang Y, Richardson M, Vasarhelyi A, Lipp OV. The next frontier: Moving human fear conditioning research online. Biol Psychol 2023; 184:108715. [PMID: 37852526 DOI: 10.1016/j.biopsycho.2023.108715] [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: 06/22/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 10/20/2023]
Abstract
Fear conditioning is a significant area of research that has featured prominently among the topics published in Biological Psychology over the last 50 years. This work has greatly contributed to our understanding of human anxiety and stressor-related disorders. While mainly conducted in the laboratory, recently, there have been initial attempts to conduct fear conditioning experiments online, with around 10 studies published on the subject, primarily in the last two years. These studies have demonstrated the potential of online fear conditioning research, although challenges to ensure that this research meets the same methodological standards as in-person experimentation remain, despite recent progress. We expect that in the coming years new outcome measures will become available online including the measurement of eye-tracking, pupillometry and probe reaction time and that compliance monitoring will be improved. This exciting new approach opens new possibilities for large-scale data collection among hard-to-reach populations and has the potential to transform the future of fear conditioning research.
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Affiliation(s)
- Luke J Ney
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia
| | - Matthew O'Donohue
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia
| | - Yi Wang
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia
| | - Mikaela Richardson
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia
| | - Adam Vasarhelyi
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia
| | - Ottmar V Lipp
- School of Psychology and Counselling, Faculty of Health, Queensland University of Australia, Brisbane, Australia.
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24
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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: 8] [Impact Index Per Article: 8.0] [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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25
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Maxin AJ, Gulek BG, Lee C, Lim D, Mariakakis A, Levitt MR, McGrath LB. Validation of a Smartphone Pupillometry Application in Diagnosing Severe Traumatic Brain Injury. J Neurotrauma 2023; 40:2118-2125. [PMID: 37464770 DOI: 10.1089/neu.2022.0516] [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] [Indexed: 07/20/2023] Open
Abstract
The pupillary light reflex (PLR) is an important biomarker for the detection and management of traumatic brain injury (TBI). We investigated the performance of PupilScreen, a smartphone-based pupillometry app, in classifying healthy control subjects and subjects with severe TBI in comparison to the current gold standard NeurOptics pupillometer (NPi-200 model with proprietary Neurological Pupil Index [NPi] TBI severity score). A total of 230 PLR video recordings taken using both the PupilScreen smartphone pupillometer and NeurOptics handheld device (NPi-200) pupillometer were collected from 33 subjects with severe TBI (sTBI) and 132 subjects who were healthy without self-reported neurological disease. Severe TBI status was determined by Glasgow Coma Scale (GCS) at the time of recording. The proprietary NPi score was collected from the NPi-200 pupillometer for each subject. Seven PLR curve morphological parameters were collected from the PupilScreen app for each subject. A comparison via t-test and via binary classification algorithm performance using NPi scores from the NPi-200 and PLR parameter data from the PupilScreen app was completed. This was used to determine how the frequently used NPi-200 proprietary NPi TBI severity score compares to the PupilScreen app in ability to distinguish between healthy and sTBI subjects. Binary classification models for this task were trained for the diagnosis of healthy or severe TBI using logistic regression, k-nearest neighbors, support vector machine, and random forest machine learning classification models. Overall classification accuracy, sensitivity, specificity, area under the curve, and F1 score values were calculated. Median GCS was 15 for the healthy cohort and 6 (interquartile range 2) for the severe TBI cohort. Smartphone app PLR parameters as well as NPi from the digital infrared pupillometer were significantly different between healthy and severe TBI cohorts; 33% of the study cohort had dark eye colors defined as brown eyes of varying shades. Across all classification models, the top performing PLR parameter combination for classifying subjects as healthy or sTBI for PupilScreen was maximum diameter, constriction velocity, maximum constriction velocity, and dilation velocity with accuracy, sensitivity, specificity, area under the curve (AUC), and F1 score of 87%, 85.9%, 88%, 0.869, and 0.85, respectively, in a random forest model. The proprietary NPi TBI severity score demonstrated greatest AUC value, F1 score, and sensitivity of 0.648, 0.567, and 50.9% respectively using a random forest classifier and greatest overall accuracy and specificity of 67.4% and 92.4% using a logistic regression model in the same classification task on the same dataset. The PupilScreen smartphone pupillometry app demonstrated binary healthy versus severe TBI classification ability greater than that of the NPi-200 proprietary NPi TBI severity score. These results may indicate the potential benefit of future study of this PupilScreen smartphone pupillometry application in comparison to the NPi-200 digital infrared pupillometer across the broader TBI spectrum, as well as in other neurological diseases.
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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
- Elson S. Floyd College of Medicine, Washington State University, Spokane, Washington, USA
| | - Do Lim
- Department of Neurological Surgery, University of Washington, Seattle, Washington, USA
- Stroke and 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
- Department of Radiology, University of Washington, Seattle, Washington, USA
- Department of Mechanical Engineering, University of Washington, Seattle, Washington, USA
- Stroke and Applied Neuroscience Center, 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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26
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Panahi A, Rezaee A, Hajati F, Shariflou S, Agar A, Golzan SM. Autonomous assessment of spontaneous retinal venous pulsations in fundus videos using a deep learning framework. Sci Rep 2023; 13:14445. [PMID: 37660115 PMCID: PMC10475061 DOI: 10.1038/s41598-023-41110-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 08/22/2023] [Indexed: 09/04/2023] Open
Abstract
The presence or absence of spontaneous retinal venous pulsations (SVP) provides clinically significant insight into the hemodynamic status of the optic nerve head. Reduced SVP amplitudes have been linked to increased intracranial pressure and glaucoma progression. Currently, monitoring for the presence or absence of SVPs is performed subjectively and is highly dependent on trained clinicians. In this study, we developed a novel end-to-end deep model, called U3D-Net, to objectively classify SVPs as present or absent based on retinal fundus videos. The U3D-Net architecture consists of two distinct modules: an optic disc localizer and a classifier. First, a fast attention recurrent residual U-Net model is applied as the optic disc localizer. Then, the localized optic discs are passed on to a deep convolutional network for SVP classification. We trained and tested various time-series classifiers including 3D Inception, 3D Dense-ResNet, 3D ResNet, Long-term Recurrent Convolutional Network, and ConvLSTM. The optic disc localizer achieved a dice score of 95% for locating the optic disc in 30 milliseconds. Amongst the different tested models, the 3D Inception model achieved an accuracy, sensitivity, and F1-Score of 84 ± 5%, 90 ± 8%, and 81 ± 6% respectively, outperforming the other tested models in classifying SVPs. To the best of our knowledge, this research is the first study that utilizes a deep neural network for an autonomous and objective classification of SVPs using retinal fundus videos.
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Affiliation(s)
- Amirhossein Panahi
- Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
| | - Alireza Rezaee
- Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.
| | - Farshid Hajati
- Intelligent Technology Innovation Lab (ITIL) Group, Institute for Sustainable Industries and Liveable Cities, Victoria University, Footscray, Australia
| | - Sahar Shariflou
- Vision Science Group, Graduate School of Health, University of Technology Sydney, Ultimo, Australia
| | - Ashish Agar
- Ophthalmology Department, Prince of Wales Hospital, Sydney, NSW, Australia
- Department of Ophthalmology, University of New South Wales, Sydney, NSW, Australia
- Marsden Eye Specialists, Sydney, NSW, Australia
| | - S Mojtaba Golzan
- Vision Science Group, Graduate School of Health, University of Technology Sydney, Ultimo, Australia
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27
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Zhou Z, Lu W, Zhang C, Xiang L, Xiang L, Chen C, Wang B, Guo L, Shan Y, Li X, Zhao Z, Zou J, Dai X, Zhao Z. A visualized MAC nomogram online predicts the risk of three-month mortality in Chinese elderly aneurysmal subarachnoid hemorrhage patients undergoing endovascular coiling. Neurol Sci 2023; 44:3209-3220. [PMID: 37020068 PMCID: PMC10075504 DOI: 10.1007/s10072-023-06777-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Accepted: 03/22/2023] [Indexed: 04/07/2023]
Abstract
OBJECTIVE Aneurysmal subarachnoid hemorrhage (aSAH) is an aggressive disease with higher mortality rate in the elderly population. Unfortunately, the previous models for predicting clinical prognosis are still not accurate enough. Therefore, we aimed to construct and validate a visualized nomogram model to predict online the 3-month mortality in elderly aSAH patients undergoing endovascular coiling. METHOD We conducted a retrospective analysis of 209 elderly aSAH patients at People's Hospital of Hunan Province, China. A nomogram was developed based on multivariate logistic regression and forward stepwise regression analysis, then validated using the bootstrap validation method (n = 1000). In addition, the performance of the nomogram was evaluated by various indicators to prove its clinical value. RESULT Morbid pupillary reflex, age, and using a breathing machine were independent predictors of 3-month mortality. The AUC of the nomogram was 0.901 (95% CI: 0.853-0.950), and the Hosmer-Lemeshow goodness-of-fit test showed good calibration of the nomogram (p = 0.4328). Besides, the bootstrap validation method internally validated the nomogram with an area under the curve of the receiver operator characteristic (AUROC) of 0.896 (95% CI: 0.846-0.945). Decision curve analysis (DCA) and clinical impact curve (CIC) indicated the nomogram's excellent clinical utility and applicability. CONCLUSION An easily applied visualized nomogram model named MAC (morbid pupillary reflex-age-breathing machine) based on three accessible factors has been successfully developed. The MAC nomogram is an accurate and complementary tool to support individualized decision-making and emphasizes that patients with higher risk of mortality may require closer monitoring. Furthermore, a web-based online version of the risk calculator would greatly contribute to the spread of the model in this field.
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Affiliation(s)
- Zhou Zhou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Wei Lu
- School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Cheng Zhang
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Lan Xiang
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Liang Xiang
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Chen Chen
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
| | - BiJun Wang
- Clinical Research Institute, Hengyang Medical School, The Affiliated Nanhua Hospital, University of South China, Hengyang, China
| | - LeHeng Guo
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - YaJie Shan
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - XueMei Li
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China
| | - Zheng Zhao
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China
| | - JianJun Zou
- Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
- Department of Pharmacy, Nanjing First Hospital, China Pharmaceutical University, Nanjing, China.
| | - XiaoMing Dai
- Department of Hepatobiliary Surgery, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, China.
| | - ZhiHong Zhao
- Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
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28
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Kossel CS, Kobus F, Borutta MC, Kärtner M, Kuramatsu JB, Engelhorn T, Schwab S, Koehn J. Pupillometry in the follow-up of patients undergoing EVT - prediction of space-occupying hemispheric infarction. J Neurol 2023; 270:4507-4517. [PMID: 37300717 PMCID: PMC10421763 DOI: 10.1007/s00415-023-11797-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/26/2023] [Accepted: 05/27/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND Despite benefits of endovascular treatment (EVT) for large vessel occlusion (LVO) ischemic stroke, space-occupying brain edema (BE) represents a detrimental complication. In critical-care settings, CT-imaging is needed for monitoring these patients. Yet, bed-side techniques with the potential to predict whether patients develop BE or not would facilitate a time- and cost-efficient patient care. We assessed clinical significance of automated pupillometry in the follow-up of patients undergoing EVT. METHODS From 10/2018 to 10/2021, neurocritical-care-unit patients were retrospectively enrolled after EVT of anterior circulation LVO. We monitored parameters of pupillary reactivity [light-reflex-latency (Lat), constriction- and redilation-velocities (CV, DV), percentage-change-of-apertures (per-change); NeurOptics-pupilometer®] up to every hour on day 1-3 of ICU stay. BE was defined as midline shift ≥ 5 mm on follow-up imaging 3-5 days after EVT. We calculated mean values of intra-individual differences between successive pairs of parameters (mean-deltas), determined best discriminative cut-off values for BE development (ROC-analyses), and evaluated prognostic performance of pupillometry for BE development (sensitivity/specificity/positive-/negative-predictive-values). RESULTS 3241 pupillary assessments of 122 patients [67 women, 73 years (61.0-85.0)] were included. 13/122 patients developed BE. Patients with BE had significantly lower CVs, DVs, and smaller per-changes than patients without BE. On day 1 after EVT mean-deltas of CV, DV, and per-changes were significantly lower in patients with than without BE. Positive-predictive-values of calculated thresholds to discriminate both groups were considerably low, yet, we found high negative-predictive-values for CV, DV, per-changes, and mean-deltas (max.: 98.4%). CONCLUSION Our data suggest associations between noninvasively detected changes in pupillary reactivity and BE early after LVO-EVT. Pupillometry may identify patients who are unlikely to develop BE and may not need repetitive follow-up-imaging or rescue-therapy.
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Affiliation(s)
- Clara-Sophie Kossel
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Franca Kobus
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Matthias C Borutta
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Maximilian Kärtner
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Joji B Kuramatsu
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Tobias Engelhorn
- Department of Neuroradiology, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Stefan Schwab
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany
| | - Julia Koehn
- Department of Neurology, Friedrich-Alexander-University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany.
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29
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Negi R, Raviselvan M, Yarravarapu D, Chillakala K, Durai CVR, Baskar J, Jain A, Bisht K, Bhate M, Bharadwaj SR. Effect of Light Intensity on the Relative Afferent Pupillary Defect in Unilateral Neuro-ophthalmic Pathology. Optom Vis Sci 2023; 100:614-624. [PMID: 37639694 DOI: 10.1097/opx.0000000000002061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/31/2023] Open
Abstract
SIGNIFICANCE Objective pupillometry with standardized light intensities allows a comprehensive assessment of the relative afferent pupillary defect in patients with unilateral neuro-ophthalmic pathology. PURPOSE This study aimed to determine the impact of varying light intensities on the grade of relative afferent pupillary defect in unilateral neuro-ophthalmic pathology vis-à-vis healthy controls. METHODS Monocular pupillary light reflexes of 20 controls (14 to 50 years) and 31 cases (12 to 72 years) with clinically diagnosed relative afferent pupillary defect were measured thrice using 1-second-long light pulses, followed by 3 seconds of darkness, at eight light intensities (6.4 to 1200 lux) using objective pupillometry. The relative afferent pupillary defect was quantified as the ratio of the percentage change in the direct light reflexes of the left and right eyes. Its change with light intensity was described using standard exponential fits. RESULTS The median (25th to 75th interquartile range) defect score of 54.8% cases decreased from baseline values of 1.58 (1.25 to 1.87) for right eye pathology and 0.45 (0.39 to 0.55) for left eye pathology to saturation values of 1.18 (1.05 to 1.31) and 0.98 (0.95 to 1.06), respectively, at light intensities between 56.9 and 300.5 lux. Like controls (1.01 [1.00 to 1.06]), the defect scores of the remaining 45.2% cases were constant with light intensity at 1.23 (1.18 to 1.46) and 0.87 (0.86 to 0.89) for right and left eye pathologies, respectively. CONCLUSIONS Relative afferent pupillary defects may decrease with test light intensity in a significant proportion of patients with unilateral neuro-ophthalmic pathology. This highlights the importance of objective pupillometry with standardization light intensities for clinical assessment of afferent pupillary defects.
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Affiliation(s)
| | | | - Divyank Yarravarapu
- Centre for Technology Innovation, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | | | | | - Juhi Baskar
- Centre for Technology Innovation, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Ashish Jain
- Centre for Technology Innovation, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Karan Bisht
- Centre for Technology Innovation, L V Prasad Eye Institute, Hyderabad, Telangana, India
| | - Manjushree Bhate
- Jasti V. Ramanamma Children's Eye Care Centre, Child Sight Institute, L V Prasad Eye Institute, Hyderabad, Telangana, India
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Lee S, Jung DE, Park D, Kim TJ, Lee HC, Bae J, Nam K, Jeon Y, Cho YJ. Intraoperative neurological pupil index and postoperative delirium and neurologic adverse events after cardiac surgery: an observational study. Sci Rep 2023; 13:13838. [PMID: 37620412 PMCID: PMC10449781 DOI: 10.1038/s41598-023-41151-z] [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: 03/03/2023] [Accepted: 08/22/2023] [Indexed: 08/26/2023] Open
Abstract
Neurological pupil index (NPi) calculated by automated pupillometry predicts clinical outcomes in critically ill patients. However, there are few data on intraoperative NPi and postoperative outcome after cardiac surgery. We evaluated the relationships between intraoperative NPi and clinical outcomes, such as delirium, in cardiac surgery patients. NPi was measured at baseline, after anesthesia induction, at 30 min intervals after initiation of cardiopulmonary bypass or anastomosis of coronary artery bypass graft, and at skin closure. Abnormal NPi was defined as one or more measurements of NPi < 3.0 during surgery. The worst intraoperative NPi was recorded, then multivariate logistic regression analysis was performed to evaluate the relationship between abnormal NPi and postoperative delirium following cardiac surgery. Among 123 included patients, postoperative delirium developed in 19.5% (24/123) of patients. Intraoperative abnormal NPi was significantly associated with postoperative delirium (odds ratio 6.078; 95% confidence interval 1.845-20.025; P = 0.003) after adjustment for Society of Thoracic Surgeons Predicted Risk of Mortality score, coronary artery disease, and use of calcium channel blockers. In conclusion, abnormal intraoperative NPi independently predicted postoperative delirium following cardiac surgery. Intraoperative application of pupillometry may have prognostic value for development of postoperative delirium, thereby enabling close surveillance and early intervention in high-risk patients.Registry number: ClinicalTrials.gov (NCT04136210).
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Affiliation(s)
- Seohee Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Dhong-Eun Jung
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
- Dasom Anesthesia and Analgesia Practice Association, Seoul, Republic of Korea
| | - Dongnyeok Park
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Tae Jung Kim
- Department of Critical Care Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung-Chul Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Jinyoung Bae
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Karam Nam
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Yunseok Jeon
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea
| | - Youn Joung Cho
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
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Sparks S, Pinto J, Hayes G, Spitschan M, Bulte DP. The impact of Alzheimer's disease risk factors on the pupillary light response. Front Neurosci 2023; 17:1248640. [PMID: 37650103 PMCID: PMC10463762 DOI: 10.3389/fnins.2023.1248640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023] Open
Abstract
Alzheimer's disease (AD) is the leading cause of dementia, and its prevalence is increasing and is expected to continue to increase over the next few decades. Because of this, there is an urgent requirement to determine a way to diagnose the disease, and to target interventions to delay and ideally stop the onset of symptoms, specifically those impacting cognition and daily livelihood. The pupillary light response (PLR) is controlled by the sympathetic and parasympathetic branches of the autonomic nervous system, and impairments to the pupillary light response (PLR) have been related to AD. However, most of these studies that assess the PLR occur in patients who have already been diagnosed with AD, rather than those who are at a higher risk for the disease but without a diagnosis. Determining whether the PLR is similarly impaired in subjects before an AD diagnosis is made and before cognitive symptoms of the disease begin, is an important step before using the PLR as a diagnostic tool. Specifically, identifying whether the PLR is impaired in specific at-risk groups, considering both genetic and non-genetic risk factors, is imperative. It is possible that the PLR may be impaired in association with some risk factors but not others, potentially indicating different pathways to neurodegeneration that could be distinguished using PLR. In this work, we review the most common genetic and lifestyle-based risk factors for AD and identify established relationships between these risk factors and the PLR. The evidence here shows that many AD risk factors, including traumatic brain injury, ocular and intracranial hypertension, alcohol consumption, depression, and diabetes, are directly related to changes in the PLR. Other risk factors currently lack sufficient literature to make any conclusions relating directly to the PLR but have shown links to impairments in the parasympathetic nervous system; further research should be conducted in these risk factors and their relation to the PLR.
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Affiliation(s)
- Sierra Sparks
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Joana Pinto
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Genevieve Hayes
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Manuel Spitschan
- TUM Department of Sport and Health Sciences (TUM SG), Chronobiology and Health, Technical University of Munich, Munich, Germany
- TUM Institute for Advanced Study (TUM-IAS), Technical University of Munich, Garching, Germany
- Max Planck Institute for Biological Cybernetics, Translational Sensory and Circadian Neuroscience, Tübingen, Germany
| | - Daniel P. Bulte
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
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Sarker P, Ong J, Zaman N, Kamran SA, Waisberg E, Paladugu P, Lee AG, Tavakkoli A. Extended reality quantification of pupil reactivity as a non-invasive assessment for the pathogenesis of spaceflight associated neuro-ocular syndrome: A technology validation study for astronaut health. LIFE SCIENCES IN SPACE RESEARCH 2023; 38:79-86. [PMID: 37481311 DOI: 10.1016/j.lssr.2023.06.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/26/2023] [Accepted: 06/01/2023] [Indexed: 07/24/2023]
Abstract
The National Aeronautics and Space Administration (NASA) has rigorously documented a group of neuro-ophthalmic findings in astronauts during and after long-duration spaceflight known as spaceflight associated neuro-ocular syndrome (SANS). For astronaut safety and mission effectiveness, understanding SANS and countermeasure development are of utmost importance. Although the pathogenesis of SANS is not well defined, a leading hypothesis is that SANS might relate to a sub-clinical increased intracranial pressure (ICP) from cephalad fluid shifts in microgravity. However, no direct ICP measurements are available during spaceflight. To further understand the role of ICP in SANS, pupillometry can serve as a promising non-invasive biomarker for spaceflight environment as ICP is correlated with the pupil variables under illumination. Extended reality (XR) can help to address certain limitations in current methods for efficient pupil testing during spaceflight. We designed a protocol to quantify parameters of pupil reactivity in XR with an equivalent time duration of illumination on each eye compared to pre-existing, non-XR methods. Throughout the assessment, the pupil diameter data was collected using HTC Vive Pro-VR headset, thanks to its eye-tracking capabilities. Finally, the data was used to compute several pupil variables. We applied our methods to 36 control subjects. Pupil variables such as maximum and minimum pupil size, constriction amplitude, average constriction amplitude, maximum constriction velocity, latency and dilation velocity were computed for each control data. We compared our methods of calculation of pupil variables with the non-XR methods existing in the literature. Distributions of the pupil variables such as latency, constriction amplitude, and velocity of 36 control data displayed near-identical results from the non-XR literature for normal subjects. We propose a new method to evaluate pupil reactivity with XR technology to further understand ICP's role in SANS and provide further insight into SANS countermeasure development for future spaceflight.
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Affiliation(s)
- Prithul Sarker
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Nevada, United States
| | - Joshua Ong
- Michigan Medicine, University of Michigan, Ann Arbor, Michigan, United States
| | - Nasif Zaman
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Nevada, United States
| | - Sharif Amit Kamran
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Nevada, United States
| | - Ethan Waisberg
- University College Dublin School of Medicine, Belfield, Dublin, Ireland
| | - Phani Paladugu
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States; Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, United States
| | - Andrew G Lee
- Center for Space Medicine, Baylor College of Medicine, Houston, Texas, United States; Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, Texas, United States; The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, Texas, United States; Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, New York, United States; Department of Ophthalmology, University of Texas Medical Branch, Galveston, Texas, United States; University of Texas MD Anderson Cancer Center, Houston, Texas, United States; Texas A&M College of Medicine, Texas, United States; Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, Iowa, United States
| | - Alireza Tavakkoli
- Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Nevada, United States.
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Gramer R, Shlobin NA, Yang Z, Niedzwiecki D, Haglund MM, Fuller AT. Clinical Utility of Near-Infrared Device in Detecting Traumatic Intracranial Hemorrhage: A Pilot Study Toward Application as an Emergent Diagnostic Modality in a Low-Resource Setting. J Neurotrauma 2023; 40:1596-1602. [PMID: 35856820 DOI: 10.1089/neu.2021.0342] [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] [Indexed: 11/13/2022] Open
Abstract
Limited computed tomography (CT) availability in low- and middle-income countries frequently impedes life-saving neurosurgical decompression for traumatic brain injury. A reliable, accessible, cost-effective solution is necessary to detect and localize bleeds. We report the largest study to date using a near-infrared device (NIRD) to detect traumatic intracranial bleeds. Patients with confirmed or suspected head trauma who received a head CT scan were included. Within 30 min of the initial head CT scan, a blinded examiner scanned each patient's cranium with a NIRD, interrogating bilaterally the frontal, parietal, temporal, and occipital quadrants Sensitivity, specificity, accuracy, and precision were investigated. We recruited 500 consecutive patients; 104 patients had intracranial bleeding. For all patients with CT-proven bleeds, irrespective of size, initial NIRD scans localized the bleed to the appropriate quadrant with a sensitivity of 86% and specificity of 96% compared with CT. For extra-axial bleeds >3.5mL, sensitivity and specificity were 94% and 96%, respectively. For longitudinal serial rescans with the NIRD, sensitivity was 89% (< 4 days from injury: sensitivity: 99%), and specificity was 96%. For all patients who required craniectomy or craniotomy, the device demonstrated 100% sensitivity. NIRD is highly sensitive, specific, and reproducible over time in diagnosing intracranial bleeds. NIRD may inform neurosurgical decision making in settings where CT scanning is unavailable or impractical.
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Affiliation(s)
- Robert Gramer
- Department of Neurological Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA
- Duke Global Neurosurgery and Neurology, Duke University, Durham, North Carolina, USA
| | - Nathan A Shlobin
- Duke Global Neurosurgery and Neurology, Duke University, Durham, North Carolina, USA
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Zidanyue Yang
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Donna Niedzwiecki
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, USA
| | - Michael M Haglund
- Duke Global Neurosurgery and Neurology, Duke University, Durham, North Carolina, USA
| | - Anthony T Fuller
- Duke Global Neurosurgery and Neurology, Duke University, Durham, North Carolina, USA
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Hsu CH, Kuo LT. Application of Pupillometry in Neurocritical Patients. J Pers Med 2023; 13:1100. [PMID: 37511713 PMCID: PMC10381796 DOI: 10.3390/jpm13071100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/25/2023] [Accepted: 06/29/2023] [Indexed: 07/30/2023] Open
Abstract
Pupillary light reflex (PLR) assessment is a crucial examination for evaluating brainstem function, particularly in patients with acute brain injury and neurosurgical conditions. The PLR is controlled by neural pathways modulated by both the sympathetic and parasympathetic nervous systems. Altered PLR is a strong predictor of adverse outcomes after traumatic and ischemic brain injuries. However, the assessment of PLR needs to take many factors into account since it can be modulated by various medications, alcohol consumption, and neurodegenerative diseases. The development of devices capable of measuring pupil size and assessing PLR quantitatively has revolutionized the non-invasive neurological examination. Automated pupillometry, which is more accurate and precise, is widely used in diverse clinical situations. This review presents our current understanding of the anatomical and physiological basis of the PLR and the application of automated pupillometry in managing neurocritical patients. We also discuss new technologies that are being developed, such as smartphone-based pupillometry devices, which are particularly beneficial in low-resource settings.
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Affiliation(s)
- Chiu-Hao Hsu
- Division of Neurosurgery, Department of Surgery, National Taiwan University Hospital Hsin-Chu Branch, Biomedical Park Hospital, Hsin-Chu County 302, Taiwan
- Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Lu-Ting Kuo
- Division of Neurosurgery, Department of Surgery, National Taiwan University Hospital, Taipei 100, Taiwan
- Division of Neurosurgery, Department of Surgery, National Taiwan University Hospital Yunlin Branch, Yunlin 640, Taiwan
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Nakamura M, Sakamoto M, Ueda K, Okuda M, Takano F, Yamada-Nakanishi Y. Detection of Relative Afferent Pupillary Defect and Its Correlation with Structural and Functional Asymmetry in Patients with Glaucoma Using Hitomiru, a Novel Hand-Held Pupillometer. J Clin Med 2023; 12:3936. [PMID: 37373631 DOI: 10.3390/jcm12123936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 06/03/2023] [Accepted: 06/07/2023] [Indexed: 06/29/2023] Open
Abstract
Patients with asymmetric glaucomatous optic neuropathy (GON) present a relative afferent pupillary defect (RAPD) in the eye with more advanced damage. Although useful, pupillometric RAPD quantification is not widely used as it is not portable. Whether asymmetry of the peripapillary capillary perfusion density (CPD) detected using optical coherence tomography angiography correlates with the severity of RAPD remains unknown. This study assessed RAPD in 81 patients with GON using Hitomiru, a novel hand-held infrared binocular pupillometer. The correlation and ability to detect clinical RAPD based on the swinging flash light test of two independent RAPD parameters (the maximum pupil constriction ratio and the constriction maintenance capacity ratio) were assessed. The coefficient of determination (R2) was calculated between each of the two RAPD parameters and asymmetry of the circumpapillary retinal nerve fiber layer thickness (cpRNFLT), ganglion cell layer/inner plexiform layer thickness (GCL/IPLT), and CPD. The two RAPD parameters showed a correlation coefficient of 0.86 and areas under the receiver operating characteristic (ROC) curve of 0.85-0.88, with R2 being 0.63-0.67 for the visual field, 0.35-0.45 for cpRNFLT, 0.45-0.49 for GCL/IPLT, and 0.53-0.59 for CPD asymmetry. Hitomiru has high discriminatory performance in detecting RAPD in patients with asymmetric GON. CPD asymmetry may better correlate with RAPD than cpRNFLT and GCL/IPLT asymmetry.
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Affiliation(s)
- Makoto Nakamura
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
| | - Mari Sakamoto
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
| | - Kaori Ueda
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
| | - Mina Okuda
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
| | - Fumio Takano
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
| | - Yuko Yamada-Nakanishi
- Division of Ophthalmology, Department of Surgery, Graduate School of Medicine, Kobe University, 7-5-2 Kusunoki-cho, Kobe 650-0017, Japan
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Lele AV, Wahlster S, Khadka S, Walters AM, Fong CT, Blissitt PA, Livesay SL, Jannotta GE, Gulek BG, Srinivasan V, Rosenblatt K, Souter MJ, Vavilala MS. Neurological Pupillary Index and Disposition at Hospital Discharge following ICU Admission for Acute Brain Injury. J Clin Med 2023; 12:jcm12113806. [PMID: 37298001 DOI: 10.3390/jcm12113806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 05/26/2023] [Accepted: 05/30/2023] [Indexed: 06/12/2023] Open
Abstract
We examined the associations between the Neurological Pupillary Index (NPi) and disposition at hospital discharge in patients admitted to the neurocritical care unit with acute brain injury (ABI) due to acute ischemic stroke (AIS), spontaneous intracerebral hemorrhage (sICH), aneurysmal subarachnoid hemorrhage (SAH), and traumatic brain injury (TBI). The primary outcome was discharge disposition (home/acute rehabilitation vs. death/hospice/skilled nursing facility). Secondary outcomes were tracheostomy tube placement and transition to comfort measures. Among 2258 patients who received serial NPi assessments within the first seven days of ICU admission, 47.7% (n = 1078) demonstrated NPi ≥ 3 on initial and final assessments, 30.1% (n = 680) had initial NPI < 3 that never improved, 19% (n = 430) had initial NPi ≥ 3, which subsequently worsened to <3 and never recovered, and 3.1% (n = 70) had initial NPi < 3, which improved to ≥3. After adjusting for age, sex, admitting diagnosis, admission Glasgow Coma Scale score, craniotomy/craniectomy, and hyperosmolar therapy, NPi values that remained <3 or worsened from ≥3 to <3 were associated with poor outcomes (adjusted odds ratio, aOR 2.58, 95% CI [2.03; 3.28]), placement of a tracheostomy tube (aOR 1.58, 95% CI [1.13; 2.22]), and transition to comfort measures only (aOR 2.12, 95% CI [1.67; 2.70]). Our study suggests that serial NPi assessments during the first seven days of ICU admission may be helpful in predicting outcomes and guiding clinical decision-making in patients with ABI. Further studies are needed to evaluate the potential benefit of interventions to improve NPi trends in this population.
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Affiliation(s)
- Abhijit V Lele
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Harborview Injury Prevention and Research Center, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Sarah Wahlster
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Neurology, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Sunita Khadka
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Andrew M Walters
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Christine T Fong
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Patricia A Blissitt
- Department of Nursing, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Sarah L Livesay
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Gemi E Jannotta
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Bernice G Gulek
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Vasisht Srinivasan
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Harborview Injury Prevention and Research Center, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Emergency Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Kathryn Rosenblatt
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Michael J Souter
- Neurocritical Care Service, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Department of Neurological Surgery, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
| | - Monica S Vavilala
- Department of Anesthesiology and Pain Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
- Harborview Injury Prevention and Research Center, Harborview Medical Center, University of Washington, Seattle, WA 98195, USA
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Nyholm B, Obling LER, Hassager C, Grand J, Møller JE, Othman MH, Kondziella D, Kjaergaard J. Specific thresholds of quantitative pupillometry parameters predict unfavorable outcome in comatose survivors early after cardiac arrest. Resusc Plus 2023; 14:100399. [PMID: 37252025 PMCID: PMC10220278 DOI: 10.1016/j.resplu.2023.100399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/30/2023] [Accepted: 05/05/2023] [Indexed: 05/31/2023] Open
Abstract
Aim Quantitative pupillometry is the guideline-recommended method for assessing pupillary light reflex for multimodal prognostication in comatose patients resuscitated from out-of-hospital cardiac arrest (OHCA). However, threshold values predicting an unfavorable outcome have been inconsistent across studies; therefore, we aimed to identify specific thresholds for all quantitative pupillometry parameters. Methods Comatose post-OHCA patients were consecutively admitted to the cardiac arrest center at Copenhagen University Hospital Rigshospitalet from April 2015 to June 2017. The parameters of quantitatively assessed pupillary light reflex (qPLR), Neurological Pupil index (NPi), average/max constriction velocity (CV/MCV), dilation velocity (DV), and latency of constriction (Lat) were recorded on the first three days after admission. We evaluated the prognostic performance and identified thresholds achieving zero percent false positive rate (0% PFR) for an unfavorable outcome of 90-day Cerebral Performance Category (CPC) 3-5. Treating physicians were blinded for pupillometry results. Results Of the 135 post-OHCA patients, the primary outcome occurred for 53 (39%) patients.On any day during hospitalization, a qPLR < 4%, NPi < 2.45, CV < 0.1 mm/s, and an MCV < 0.335 mm/s predicted 90-day unfavorable neurological outcome with 0% FPR (95%CI: 0-0%), with sensitivities of 28% (17-40%), 9% (2-19%), 13% (6-23%), and 17% (8-26%), respectively on day 1. Conclusion We found that specific thresholds of all quantitative pupillometry parameters, measured at any time following hospital admission until day 3, predicted a 90-day unfavorable outcome with 0% FPR in comatose patients resuscitated from OHCA. However, at 0% FPR, thresholds resulted in low sensitivity. These findings should be further validated in larger multicenter clinical trials.
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Affiliation(s)
- Benjamin Nyholm
- 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
| | - Johannes Grand
- Department of Cardiology, the Heart Center, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Jacob Eifer Møller
- Department of Cardiology, the Heart Center, Copenhagen University Hospital Rigshospitalet, Copenhagen, 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
| | - 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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Kajino T, Yamauchi Y, Kojima T. The pupillometer's test during emergence from anesthesia could provide useful information on the timing for extubation in children. Paediatr Anaesth 2023. [PMID: 37186347 DOI: 10.1111/pan.14682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 12/16/2022] [Accepted: 04/11/2023] [Indexed: 05/17/2023]
Affiliation(s)
- Tatsuo Kajino
- Department of Anesthesiology, Aichi Children's Health and Medical Center, Obu, Japan
| | - Yusuke Yamauchi
- Department of Anesthesiology, Aichi Children's Health and Medical Center, Obu, Japan
| | - Taiki Kojima
- Department of Anesthesiology, Aichi Children's Health and Medical Center, Obu, Japan
- Comprehensive Pediatric Medicine, Nagoya University Graduate School of Medicine, Obu, Japan
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Müller SJ, Henkes E, Gounis MJ, Felber S, Ganslandt O, Henkes H. Non-Invasive Intracranial Pressure Monitoring. J Clin Med 2023; 12:jcm12062209. [PMID: 36983213 PMCID: PMC10051320 DOI: 10.3390/jcm12062209] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 03/09/2023] [Accepted: 03/11/2023] [Indexed: 03/15/2023] Open
Abstract
(1) Background: Intracranial pressure (ICP) monitoring plays a key role in the treatment of patients in intensive care units, as well as during long-term surgeries and interventions. The gold standard is invasive measurement and monitoring via ventricular drainage or a parenchymal probe. In recent decades, numerous methods for non-invasive measurement have been evaluated but none have become established in routine clinical practice. The aim of this study was to reflect on the current state of research and shed light on relevant techniques for future clinical application. (2) Methods: We performed a PubMed search for “non-invasive AND ICP AND (measurement OR monitoring)” and identified 306 results. On the basis of these search results, we conducted an in-depth source analysis to identify additional methods. Studies were analyzed for design, patient type (e.g., infants, adults, and shunt patients), statistical evaluation (correlation, accuracy, and reliability), number of included measurements, and statistical assessment of accuracy and reliability. (3) Results: MRI-ICP and two-depth Doppler showed the most potential (and were the most complex methods). Tympanic membrane temperature, diffuse correlation spectroscopy, natural resonance frequency, and retinal vein approaches were also promising. (4) Conclusions: To date, no convincing evidence supports the use of a particular method for non-invasive intracranial pressure measurement. However, many new approaches are under development.
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Affiliation(s)
- Sebastian Johannes Müller
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
- Correspondence: ; Tel.: +49-(0)711-278-34501
| | - Elina Henkes
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
| | - Matthew J. Gounis
- New England Center for Stroke Research, Department of Radiology, University of Massachusetts, Worcester, MA 01655, USA
| | - Stephan Felber
- Institut für Diagnostische und Interventionelle Radiologie und Neuroradiologie, Stiftungsklinikum Mittelrhein, D-56068 Koblenz, Germany
| | - Oliver Ganslandt
- Neurochirurgische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
| | - Hans Henkes
- Neuroradiologische Klinik, Klinikum Stuttgart, D-70174 Stuttgart, Germany
- Medizinische Fakultät, Universität Duisburg-Essen, D-47057 Duisburg, Germany
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Daniel M, Charier D, Pereira B, Pachcinski M, Sharshar T, Molliex S. Prognosis value of pupillometry in COVID-19 patients admitted in intensive care unit. Auton Neurosci 2023; 245:103057. [PMID: 36549090 PMCID: PMC9758063 DOI: 10.1016/j.autneu.2022.103057] [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: 07/18/2022] [Revised: 10/26/2022] [Accepted: 12/07/2022] [Indexed: 12/23/2022]
Abstract
INTRODUCTION ICU patients with SARS-CoV-2-related pneumonia are at risk to develop a central dysautonomia which can contribute to mortality and respiratory failure. The pupillary size and its reactivity to light are controlled by the autonomic nervous system. Pupillometry parameters (PP) allow to predict outcomes in various acute brain injuries. We aim at assessing the most predictive PP of in-hospital mortality and the need for invasive mechanical ventilation (IV). MATERIAL AND METHODS We led a prospective, two centers, observational study. We recruited adult patients admitted to ICU for a severe SARS-CoV-2 related pneumonia between April and August 2020. The pupillometry was performed at admission including the measurement of baseline pupillary diameter (PD), PD variations (PDV), pupillary constriction velocity (PCV) and latency (PDL). RESULTS Fifty patients, 90 % males, aged 66 (60-70) years were included. Seven (14 %) patients died in hospital. The baseline PD (4.1 mm [3.5; 4.8] vs 2.6 mm [2.4; 4.0], P = 0.009), PDV (33 % [27; 39] vs 25 % [15; 36], P = 0.03) and PCV (3.5 mm.s-1 [2.8; 4.4] vs 2.0 mm.s-1 [1.9; 3.8], P = 0.02) were significantly lower in patients who will die. A PD value <2.75 mm was the most predictive parameter of in-hospital mortality, with an AUC = 0.81, CI 95 % [0.63; 0.99]. Twenty-four (48 %) patients required IV. PD and PDV were significantly lower in patients who were intubated (3.5 mm [2.8; 4.4] vs 4.2 mm [3.9; 5.2], P = 0.03; 28 % [25; 36 %] vs 35 % [32; 40], P = 0.049, respectively). CONCLUSIONS A reduced baseline PD is associated with bad outcomes in COVID-19 patients admitted in ICU. It is likely to reflect a brainstem autonomic dysfunction.
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Affiliation(s)
- Matthieu Daniel
- Medical and Surgical Neurointensive Care Unit, Hôpital Sainte-Anne, GHU Paris Psychiatrie et Neurosciences, Paris, France; University of Paris, Paris, France.
| | - David Charier
- Anesthesia and Intensive Care Department & Sainbiose INSERM Unité 1059, Université Jean Monnet, Saint-Etienne, France
| | - Bruno Pereira
- Department of Clinical Research and Innovation, CHU of Clermont-Ferrand, Clermont-Ferrand, France
| | | | - Tarek Sharshar
- Medical and Surgical Neurointensive Care Unit, Hôpital Sainte-Anne, GHU Paris Psychiatrie et Neurosciences, Paris, France,Department of Infection and Epidemiology, Pasteur Institute, University of Paris, Paris, France
| | - Serge Molliex
- Anesthesia and Intensive Care Department & Sainbiose INSERM Unité 1059, Université Jean Monnet, Saint-Etienne, France
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41
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Fan TH, Rosenthal ES. Physiological Monitoring in Patients with Acute Brain Injury: A Multimodal Approach. Crit Care Clin 2023; 39:221-233. [PMID: 36333033 DOI: 10.1016/j.ccc.2022.06.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Neurocritical care management of acute brain injury (ABI) is focused on identification, prevention, and management of secondary brain injury (SBI). Physiologic monitoring of the brain and other organ systems has a role to predict patient recovery or deterioration, guide individualized therapeutic interventions, and measure response to treatment, with the goal of improving patient outcomes. In this review, we detail how specific physiologic markers of brain injury and neuromonitoring tools are integrated and used in ABI patients to develop therapeutic approaches to prevent SBI.
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Affiliation(s)
- Tracey H Fan
- Department of Neurology, Division of Neurocritical Care, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02493, USA; Department of Neurology, Division of Neurocritical Care, Brigham and Women's Hospital, 55 Fruit Street, Boston, MA 02493, USA
| | - Eric S Rosenthal
- Department of Neurology, Division of Neurocritical Care, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02493, USA; Department of Neurology, Division of Clinical Neurophysiology, Massachusetts General Hospital, 55 Fruit Street, Boston, MA 02493, USA.
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42
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Cha YS, Ko SB, Go TH, Lee DK. Quantitative pupillary light reflex assessment for prognosis of carbon monoxide poisoning. Front Med (Lausanne) 2023; 10:1105705. [PMID: 36926318 PMCID: PMC10011084 DOI: 10.3389/fmed.2023.1105705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 02/10/2023] [Indexed: 03/04/2023] Open
Abstract
Background A non-reactive pupil in standard pupillary light reflex (sPLR) is regarded as a factor predicting neurological sequelae at 1-month after carbon monoxide (CO) poisoning. An automated pupillometer is used in the intensive care unit to quantitatively assess PLR. Quantitative PLR (qPLR) was superior to sPLR using penlight for prognosis of various neurological diseases. Therefore, this study aimed to analyze whether quantitative pupillary variables (neurological Pupil index [NPi] and qPLR) are superior to sPLR in predicting 1-month neurocognitive sequelae after acute CO poisoning. Methods We performed a prospective observational study of consecutive patients with acute CO poisoning admitted to an emergency department (ED) between August 2019 and December 2020 in a single academic medical center. sPLR and pupillometer examinations (qPLR and NPi) were performed by emergency physicians at the ED on hospital days 0-2. The lowest values among those recorded within 24 h and during the total measurement period were considered the 24-h and total lowest values, respectively. Global Deterioration Scale scores were measured at 1 month as an outcome and were dichotomized into favorable (1-4) or poor (5-7) outcomes. Results We analyzed the data of 104 adult patients with acute CO poisoning. qPLR was significantly higher in the favorable outcome group than in the poor outcome group 24-h and total lowest values (21.2% vs. 15.0%, p = 0.006 and 21.0% vs. 14.8%, p = 0.006). qPLR <18% had fair predictive power for poor neurocognitive outcomes [area under the curve (AUC), 0.70; 95% confidence interval (0.60-0.78)]. Among the patients with decreased mental status (Glasgow Coma Scale ≤12), the power of NPi and qPLR increased [AUC, 0.72 and AUC, 0.80]. NPi < 1 and qPLR <18% showed sensitivity (9.5% vs. 76.2%) and specificity (98.8% vs. 67.5%) for the prediction of poor outcomes. qPLR was significantly superior to sPLR in predicting poor neurocognitive outcomes at 1 month after CO poisoning (p = 0.007). Conclusion qPLR and NPi were superior to sPLR in terms of predicting poor neurocognitive outcomes. qPLR and NPi measured from hospital days 0-2 may be valuable in predicting neurocognitive outcome.
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Affiliation(s)
- Yong Sung Cha
- Department of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.,Research Institute of Hyperbaric Medicine and Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Sang-Bae Ko
- Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Tae-Hwa Go
- Department of Biostatistics and Center of Biomedical Data Science, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea
| | - Dong Keon Lee
- Department of Emergency Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
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Sharma R, Tsikvadze M, Peel J, Howard L, Kapoor N, Freeman WD. Multimodal monitoring: practical recommendations (dos and don'ts) in challenging situations and uncertainty. Front Neurol 2023; 14:1135406. [PMID: 37206910 PMCID: PMC10188941 DOI: 10.3389/fneur.2023.1135406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 04/06/2023] [Indexed: 05/21/2023] Open
Abstract
With the advancements in modern medicine, new methods are being developed to monitor patients in the intensive care unit. Different modalities evaluate different aspects of the patient's physiology and clinical status. The complexity of these modalities often restricts their use to the realm of clinical research, thereby limiting their use in the real world. Understanding their salient features and their limitations can aid physicians in interpreting the concomitant information provided by multiple modalities to make informed decisions that may affect clinical care and outcomes. Here, we present a review of the commonly used methods in the neurological intensive care unit with practical recommendations for their use.
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Affiliation(s)
- Rohan Sharma
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, United States
- *Correspondence: Rohan Sharma
| | - Mariam Tsikvadze
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, United States
| | - Jeffrey Peel
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, United States
| | - Levi Howard
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, United States
| | - Nidhi Kapoor
- Department of Neurology, Baptist Medical Center, Jacksonville, FL, United States
| | - William D. Freeman
- Department of Neurology, Mayo Clinic in Florida, Jacksonville, FL, United States
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Zerbi SM, Sandroni C, Botteri M, Bellasi A, Latronico N, Rasulo F. Early Neurological ASsessment with pupillometrY during Cardiac Arrest REsuscitation (EASY-CARE): protocol for an observational multicentre prospective study. BMJ Open 2022; 12:e063633. [PMID: 36600432 PMCID: PMC9772679 DOI: 10.1136/bmjopen-2022-063633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION Out-of-hospital cardiac arrest is burdened with a high rate of ineffective resuscitation and poor neurological outcome among survivors. To date, there are few perfusion assessment tools during cardiopulmonary resuscitation and none of them provide reliable data. Despite the lack of information, physicians must decide whether to extend or terminate resuscitation efforts. METHOD AND ANALYSIS This is a multicentre prospective, observational cohort study, involving adult patients, victims of unexpected out-of-hospital cardiac arrest. Early Neurological ASsessment with pupillometrY during Cardiac Arrest Resuscitation aims to primarily describe the reliability of quantitative pupillometry through use of the Neurological Pupillary Index (NPi) during the manoeuvre of cardiopulmonary resuscitation, as a predictor of the return of spontaneous circulation. The second objective is to seek and describe the association between the NPi and neurological outcome in the surviving cohort. Patients will be excluded if they are less than 18 years of age, have sustained traumatic brain injury, cerebrovascular emergencies, direct injury to the eyes or have pupil anomalies. Neurological outcome will be collected at intensive care unit discharge, at 30 days, 6 months and at 1 year. The Glasgow Coma Scale (GCS) will be used in the emergency department; modified Rankin Score will be adopted for neurological assessment; biomarkers and neurophysiology exams will be collected as well. ETHICS AND DISSEMINATION The study has been approved by Ethics Committee of Milano. Local committee acceptance is required for each of the centres involved in the clinical and follow-up data collection. Data will be disseminated to the scientific community through original articles submitted to peer-reviewed journals and abstracts to conferences. TRIAL REGISTRATION NUMBER NCT05192772.
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Affiliation(s)
- Simone Maria Zerbi
- Emergenza Rianimazione Anestesia, Azienda Socio Sanitaria Territoriale Lariana, Como, Italy
- Azienda Regionale Emergenza Urgenza, Milano, Italy
| | - Claudio Sandroni
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Italy
| | | | | | - Nicola Latronico
- Department of Anesthesia, Intensive Care & Emergency Medicine, Spedali Civili University affiliated Hospital, Brescia, Italy
| | - Frank Rasulo
- Department of Anesthesia, Intensive Care & Emergency Medicine, Spedali Civili University affiliated Hospital, Brescia, Italy
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45
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Privitera CM, Neerukonda SV, Aiyagari V, Yokobori S, Puccio AM, Schneider NJ, Stutzman SE, Olson DM, Hill M, DeWitt J, Atem F, Barnes A, Xie D, Kuramatsu J, Koehn J, Swab S. A differential of the left eye and right eye neurological pupil index is associated with discharge modified Rankin scores in neurologically injured patients. BMC Neurol 2022; 22:273. [PMID: 35869429 PMCID: PMC9306158 DOI: 10.1186/s12883-022-02801-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 07/15/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Automated infrared pupillometry (AIP) and the Neurological Pupil index (NPi) provide an objective means of assessing and trending the pupillary light reflex (PLR) across a broad spectrum of neurological diseases. NPi quantifies the PLR and ranges from 0 to 5; in healthy individuals, the NPi of both eyes is expected to be ≥ 3.0 and symmetric. AIP values demonstrate emerging value as a prognostic tool with predictive properties that could allow practitioners to anticipate neurological deterioration and recovery. The presence of an NPi differential (a difference ≥ 0.7 between the left and right eye) is a potential sign of neurological abnormality.
Methods
We explored NPi differential by considering the modified Rankin Score at discharge (DC mRS) among patients admitted to neuroscience intensive care units (NSICU) of 4 U.S. and 1 Japanese hospitals and for two cohorts of brain injuries: stroke (including subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, and aneurysm, 1,200 total patients) and 185 traumatic brain injury (TBI) patients for a total of more than 54,000 pupillary measurements.
Results
Stroke patients with at least 1 occurrence of an NPi differential during their NSICU stay have higher DC mRS scores (3.9) compared to those without an NPi differential (2.7; P < .001). Patients with TBI and at least 1 occurrence of an NPi differential during their NSICU stay have higher discharge modified Rankin Scale scores (4.1) compared to those without an NPi differential (2.9; P < .001). When patients experience both abnormalities, abnormal (NPi < 3.0) and an NPi differential, the latter has an anticipatory relationship with respect to the former (P < .001 for z-score skewness analysis). Finally, our analysis confirmed ≥ 0.7 as the optimal cutoff value for the NPi differential (AUC = 0.71, P < .001).
Conclusion
The NPi differential is an important factor that clinicians should consider when managing critically ill neurological injured patients admitted to the neurocritical care units.
Trial registration
NCT02804438, Date of Registration: June 17, 2016.
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46
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Romano A, Guglielmino V, Di Paolantonio A, Bisogni G, Sabatelli M, Della Marca G, Minnella AM, Maceroni M, Bellavia S, Scala I, Sabatelli E, Rollo E, Luigetti M. Pupillometric findings in ATTRv patients and carriers: results from a single-centre experience. Amyloid 2022; 29:270-275. [PMID: 36066019 DOI: 10.1080/13506129.2022.2117601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Hereditary transthyretin amyloidosis (ATTRv) is a treatable multisystemic disease with great phenotypic heterogeneity. Among extra-neurological features, pupillary abnormalities have been reported, either related to amyloid deposition in the eye or to a progressive autonomic neuropathy. OBJECTIVE To evaluate the role of automated pupillometry, a non-invasive and rapid test able to provide objective and reproducible data on pupil size and reactivity, as a marker of disease severity in late-onset ATTRv patients. PATIENTS AND METHODS We performed automated pupillometry on a cohort of ATTRv patients and pre-symptomatic TTR mutation carriers and compared results to healthy controls. An exhaustive clinical and instrumental evaluation was performed on all enrolled subjects. RESULTS A statistically significant difference in most pupillometry parameters was found in ATTRv patients as compared to both carriers and healthy controls. Moreover, in ATTRv patients, we found a significant correlation between many pupillometry findings and disease duration, as well as widely accepted clinical scales and investigations (NIS, Sudoscan from feet, and Norfolk QoL-DN questionnaire). CONCLUSIONS We suggest pupillometry may play a role as a reliable and non-invasive biomarker to evaluate ATTRv disease severity and monitor its progression.
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Affiliation(s)
- Angela Romano
- UOC Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Valeria Guglielmino
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Giulia Bisogni
- Centro Clinico NeMO Adulti, Fondazione Serena Onlus-Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Mario Sabatelli
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy.,Centro Clinico NeMO Adulti, Fondazione Serena Onlus-Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Giacomo Della Marca
- UOC Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Angelo Maria Minnella
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy.,UOC Oftalmologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Martina Maceroni
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy.,UOC Oftalmologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Simone Bellavia
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Irene Scala
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Eleonora Sabatelli
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Eleonora Rollo
- Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Marco Luigetti
- UOC Neurologia, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.,Dipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Rome, Italy
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Martin JT, Pinto J, Bulte D, Spitschan M. PyPlr: A versatile, integrated system of hardware and software for researching the human pupillary light reflex. Behav Res Methods 2022; 54:2720-2739. [PMID: 34918229 PMCID: PMC9729317 DOI: 10.3758/s13428-021-01759-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/25/2021] [Indexed: 12/16/2022]
Abstract
We introduce PyPlr-a versatile, integrated system of hardware and software to support a broad spectrum of research applications concerning the human pupillary light reflex (PLR). PyPlr is a custom Python library for integrating a research-grade video-based eye-tracker system with a light source and streamlining stimulus design, optimisation and delivery, device synchronisation, and extraction, cleaning, and analysis of pupil data. We additionally describe how full-field, homogenous stimulation of the retina can be realised with a low-cost integrating sphere that serves as an alternative to a more complex Maxwellian view setup. Users can integrate their own light source, but we provide full native software support for a high-end, commercial research-grade 10-primary light engine that offers advanced control over the temporal and spectral properties of light stimuli as well as spectral calibration utilities. Here, we describe the hardware and software in detail and demonstrate its capabilities with two example applications: (1) pupillometer-style measurement and parametrisation of the PLR to flashes of white light, and (2) comparing the post-illumination pupil response (PIPR) to flashes of long and short-wavelength light. The system holds promise for researchers who would favour a flexible approach to studying the PLR and the ability to employ a wide range of temporally and spectrally varying stimuli, including simple narrowband stimuli.
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Affiliation(s)
- Joel T Martin
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK.
| | - Joana Pinto
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK
| | - Daniel Bulte
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, OX3 7DQ, UK
| | - Manuel Spitschan
- Department of Experimental Psychology, University of Oxford, Oxford, OX2 6GG, UK
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Jolkovsky EL, Fernandez‐Penny FE, Alexis M, Benson LN, Wang BH, Abella BS. Impact of acute intoxication on quantitative pupillometry assessment in the emergency department. J Am Coll Emerg Physicians Open 2022; 3:e12825. [PMID: 36311337 PMCID: PMC9601771 DOI: 10.1002/emp2.12825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 08/24/2022] [Accepted: 09/02/2022] [Indexed: 11/11/2022] Open
Abstract
Study Hypothesis/Objective This prospective cohort study aimed to assess whether and to what extent different quantitative pupillometry (QP) metrics are associated with different intoxicant drug classes as well as investigate the potential benefit of QP as a tool in the rapid assessment of clinically intoxicated patients in the emergency department (ED). Methods Between February 25, 2019 and April 24, 2021, 325 patients were enrolled in the EDs of the Hospital of the University of Pennsylvania (HUP) and Penn Presbyterian Medical Center (PPMC). Patients deemed clinically intoxicated or in withdrawal by an attending emergency physician were considered for eligibility. Patients <18 years old, with a chief complaint indicative of head trauma or stroke or without a urine drug screen (UDS) positive for drugs of abuse were excluded. QP data were also collected from a cohort of 82 healthy control subjects. Results Neurological Pupil index (NPi) values did not vary significantly between control and study groups nor between study group patients with a UDS positive for opioids. With exception of latency of constriction, all other QP metrics for the study group were depressed relative to controls (P < 0.005). Conclusions This work demonstrated the feasibility of QP measurement in the ED, finding that NPi remains unaffected by clinical intoxication and therefore can potentially be used for ED patient evaluation without risk of confounding by key intoxicants of abuse. Future work will evaluate the value of QP as a means of rapid and reproducible neurological assessment to identify various pathologies.
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Affiliation(s)
- Eliana L. Jolkovsky
- David Geffen School of MedicineUniversity of CaliforniaLos AngelesLos AngelesCaliforniaUSA
| | - Felix E. Fernandez‐Penny
- Department of Emergency MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA,Penn Acute Research CollaborationUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Maya Alexis
- Department of Emergency MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Lauren N. Benson
- Department of Emergency MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Bo Hwan Wang
- Department of Emergency MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Benjamin S. Abella
- Department of Emergency MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA,Penn Acute Research CollaborationUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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49
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Hawryluk GWJ, Citerio G, Hutchinson P, Kolias A, Meyfroidt G, Robba C, Stocchetti N, Chesnut R. Intracranial pressure: current perspectives on physiology and monitoring. Intensive Care Med 2022; 48:1471-1481. [PMID: 35816237 DOI: 10.1007/s00134-022-06786-y] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/08/2022] [Indexed: 02/06/2023]
Abstract
Intracranial pressure (ICP) monitoring is now viewed as integral to the clinical care of many life-threatening brain insults, such as severe traumatic brain injury, subarachnoid hemorrhage, and malignant stroke. It serves to warn of expanding intracranial mass lesions, to prevent or treat herniation events as well as pressure elevation which impedes nutrient delivery to the brain. It facilitates the calculation of cerebral perfusion pressure (CPP) and the estimation of cerebrovascular autoregulatory status. Despite advancements in our knowledge emanating from a half century of experience with this technology, important controversies remain related even to fundamental aspects of ICP measurements, including indications for monitoring, ICP treatment thresholds, and management of intracranial hypertension. Here, we review the history of ICP monitoring, the underlying pathophysiology as well as current perspectives on why, when and how ICP monitoring is best used. ICP is typically assessed invasively but a number of emerging, non-invasive technologies with inherently lower risk are showing promise. In selected cases, additional neuromonitoring can be used to assist in the interpretation of ICP monitoring information and adapt directed treatment accordingly. Additional efforts to expand the evidence base relevant to ICP monitoring, related technologies and management remain a high priority in neurosurgery and neurocritical care.
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Affiliation(s)
- Gregory W J Hawryluk
- Section of Neurosurgery, University of Manitoba, GB1, 820 Sherbrook Street, Winnipeg, MB, R3A 1R9, Canada.
| | - Giuseppe Citerio
- School of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.,Neuro-Intensive Care, Department of Neurosciences, San Gerardo Hospital, ASST-MONZA, Monza, Italy
| | - Peter Hutchinson
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB20QQ, UK
| | - Angelos Kolias
- Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke's Hospital and University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB20QQ, UK
| | - Geert Meyfroidt
- Department and Laboratory of Intensive Care Medicine, University Hospitals Leuven and KU Leuven, Herestraat 49, Box 7003, 63 3000, Leuven, Belgium
| | - Chiara Robba
- Anaesthesia and Intensive Care, San Martino Research Hospital, Genoa, Italy
| | - Nino Stocchetti
- Anesthesia and Intensive Care, Department of Physiopathology and Transplantation, Milan University, Milan, Italy.,Department of Anaesthesia and Critical Care, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Randall Chesnut
- Neurosurgery, Neurotrauma, Department of Neurological Surgery, Department of Orthopaedic Surgery, School of Global Health, Harborview Medical Center, University of Washington, 325 Ninth Ave, Mailstop 359766, Seattle, WA, 98104-2499, USA
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Nyholm B, Obling L, Hassager C, Grand J, Møller J, Othman M, Kondziella D, Kjaergaard J. Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients. PLoS One 2022; 17:e0272303. [PMID: 35901103 PMCID: PMC9333219 DOI: 10.1371/journal.pone.0272303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 07/17/2022] [Indexed: 11/18/2022] Open
Abstract
Background
Quantitative pupillometry is part of multimodal neuroprognostication of comatose patients after out-of-hospital cardiac arrest (OHCA). However, the reproducibility, repeatability, and reliability of quantitative pupillometry in this setting have not been investigated.
Methods
In a prospective blinded validation study, we compared manual and quantitative measurements of pupil size. Observer and device variability for all available parameters are expressed as mean difference (bias), limits of agreement (LoA), and reliability expressed as intraclass correlation coefficients (ICC) with a 95% confidence interval.
Results
Fifty-six unique quadrupled sets of measurement derived from 14 sedated and comatose patients (mean age 70±12 years) were included.
For manually measured pupil size, inter-observer bias was -0.14±0.44 mm, LoA of -1.00 to 0.71 mm, and ICC at 0.92 (0.86–0.95). For quantitative pupillometry, we found bias at 0.03±0.17 mm, LoA of -0.31 to 0.36 mm and ICCs at 0.99. Quantitative pupillometry also yielded lower bias and LoA and higher ICC for intra-observer and inter-device measurements.
Correlation between manual and automated pupillometry was better in larger pupils, and quantitative pupillometry had less variability and higher ICC, when assessing small pupils. Further, observers failed to detect 26% of the quantitatively estimated abnormal reactivity with manual assessment.
We found ICC >0.91 for all quantitative pupillary response parameters (except for latency with ICC 0.81–0.91).
Conclusion
Automated quantitative pupillometry has excellent reliability and twice the reproducibility and repeatability than manual pupillometry. This study further presents novel estimates of variability for all quantitative pupillary response parameters with excellent reliability.
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Affiliation(s)
- Benjamin Nyholm
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- * E-mail:
| | - Laust Obling
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Christian Hassager
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Johannes Grand
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Jacob Møller
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Marwan Othman
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Daniel Kondziella
- Department of Neurology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Faculty of Health and Medical Sciences, Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Jesper Kjaergaard
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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