Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms. / Othman, Marwan H; Olsen, Markus Harboe; Hansen, Karen Irgens Tanderup; Amiri, Moshgan; Jensen, Helene Ravnholt; Nyholm, Benjamin; Møller, Kirsten; Kjaergaard, Jesper; Kondziella, Daniel.

In: Neurocritical Care, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Othman, MH, Olsen, MH, Hansen, KIT, Amiri, M, Jensen, HR, Nyholm, B, Møller, K, Kjaergaard, J & Kondziella, D 2024, 'Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms', Neurocritical Care. https://doi.org/10.1007/s12028-024-01983-7

APA

Othman, M. H., Olsen, M. H., Hansen, K. I. T., Amiri, M., Jensen, H. R., Nyholm, B., Møller, K., Kjaergaard, J., & Kondziella, D. (2024). Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms. Neurocritical Care. https://doi.org/10.1007/s12028-024-01983-7

Vancouver

Othman MH, Olsen MH, Hansen KIT, Amiri M, Jensen HR, Nyholm B et al. Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms. Neurocritical Care. 2024. https://doi.org/10.1007/s12028-024-01983-7

Author

Othman, Marwan H ; Olsen, Markus Harboe ; Hansen, Karen Irgens Tanderup ; Amiri, Moshgan ; Jensen, Helene Ravnholt ; Nyholm, Benjamin ; Møller, Kirsten ; Kjaergaard, Jesper ; Kondziella, Daniel. / Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms. In: Neurocritical Care. 2024.

Bibtex

@article{f41c8b222d094626974c043f84845e0b,
title = "Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms",
abstract = "BACKGROUND: Identifying covert consciousness in intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC) is crucial for treatment decisions, but sensitive low-cost bedside markers are missing. We investigated whether automated pupillometry combined with passive and active cognitive paradigms can detect residual consciousness in ICU patients with DoC.METHODS: We prospectively enrolled clinically low-response or unresponsive patients with traumatic or nontraumatic DoC from ICUs of a tertiary referral center. Age-matched and sex-matched healthy volunteers served as controls. Patients were categorized into clinically unresponsive (coma or unresponsive wakefulness syndrome) or clinically low-responsive (minimally conscious state or better). Using automated pupillometry, we recorded pupillary dilation to passive (visual and auditory stimuli) and active (mental arithmetic) cognitive paradigms, with task-specific success criteria (e.g., ≥ 3 of 5 pupillary dilations on five consecutive mental arithmetic tasks).RESULTS: We obtained 699 pupillometry recordings at 178 time points from 91 ICU patients with brain injury (mean age 60 ± 13.8 years, 31% women, and 49.5% nontraumatic brain injuries). Recordings were also obtained from 26 matched controls (59 ± 14.8 years, 38% women). Passive paradigms yielded limited distinctions between patients and controls. However, active paradigms enabled discrimination between different states of consciousness. With mental arithmetic of moderate complexity, ≥ 3 pupillary dilations were seen in 17.8% of clinically unresponsive patients and 50.0% of clinically low-responsive patients (odds ratio 4.56, 95% confidence interval 2.09-10.10; p < 0.001). In comparison, 76.9% healthy controls responded with ≥ 3 pupillary dilations (p = 0.028). Results remained consistent across sensitivity analyses using different thresholds for success. Spearman's rank analysis underscored the robust association between pupillary dilations during mental arithmetic and consciousness levels (rho = 1, p = 0.017). Notably, one behaviorally unresponsive patient demonstrated persistent command-following behavior 2 weeks before overt signs of awareness, suggesting prolonged cognitive motor dissociation.CONCLUSIONS: Automated pupillometry combined with mental arithmetic can identify cognitive efforts, and hence covert consciousness, in ICU patients with acute DoC.",
author = "Othman, {Marwan H} and Olsen, {Markus Harboe} and Hansen, {Karen Irgens Tanderup} and Moshgan Amiri and Jensen, {Helene Ravnholt} and Benjamin Nyholm and Kirsten M{\o}ller and Jesper Kjaergaard and Daniel Kondziella",
note = "{\textcopyright} 2024. The Author(s).",
year = "2024",
doi = "10.1007/s12028-024-01983-7",
language = "English",
journal = "Neurocritical Care",
issn = "1541-6933",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Covert Consciousness in Acute Brain Injury Revealed by Automated Pupillometry and Cognitive Paradigms

AU - Othman, Marwan H

AU - Olsen, Markus Harboe

AU - Hansen, Karen Irgens Tanderup

AU - Amiri, Moshgan

AU - Jensen, Helene Ravnholt

AU - Nyholm, Benjamin

AU - Møller, Kirsten

AU - Kjaergaard, Jesper

AU - Kondziella, Daniel

N1 - © 2024. The Author(s).

PY - 2024

Y1 - 2024

N2 - BACKGROUND: Identifying covert consciousness in intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC) is crucial for treatment decisions, but sensitive low-cost bedside markers are missing. We investigated whether automated pupillometry combined with passive and active cognitive paradigms can detect residual consciousness in ICU patients with DoC.METHODS: We prospectively enrolled clinically low-response or unresponsive patients with traumatic or nontraumatic DoC from ICUs of a tertiary referral center. Age-matched and sex-matched healthy volunteers served as controls. Patients were categorized into clinically unresponsive (coma or unresponsive wakefulness syndrome) or clinically low-responsive (minimally conscious state or better). Using automated pupillometry, we recorded pupillary dilation to passive (visual and auditory stimuli) and active (mental arithmetic) cognitive paradigms, with task-specific success criteria (e.g., ≥ 3 of 5 pupillary dilations on five consecutive mental arithmetic tasks).RESULTS: We obtained 699 pupillometry recordings at 178 time points from 91 ICU patients with brain injury (mean age 60 ± 13.8 years, 31% women, and 49.5% nontraumatic brain injuries). Recordings were also obtained from 26 matched controls (59 ± 14.8 years, 38% women). Passive paradigms yielded limited distinctions between patients and controls. However, active paradigms enabled discrimination between different states of consciousness. With mental arithmetic of moderate complexity, ≥ 3 pupillary dilations were seen in 17.8% of clinically unresponsive patients and 50.0% of clinically low-responsive patients (odds ratio 4.56, 95% confidence interval 2.09-10.10; p < 0.001). In comparison, 76.9% healthy controls responded with ≥ 3 pupillary dilations (p = 0.028). Results remained consistent across sensitivity analyses using different thresholds for success. Spearman's rank analysis underscored the robust association between pupillary dilations during mental arithmetic and consciousness levels (rho = 1, p = 0.017). Notably, one behaviorally unresponsive patient demonstrated persistent command-following behavior 2 weeks before overt signs of awareness, suggesting prolonged cognitive motor dissociation.CONCLUSIONS: Automated pupillometry combined with mental arithmetic can identify cognitive efforts, and hence covert consciousness, in ICU patients with acute DoC.

AB - BACKGROUND: Identifying covert consciousness in intensive care unit (ICU) patients with coma and other disorders of consciousness (DoC) is crucial for treatment decisions, but sensitive low-cost bedside markers are missing. We investigated whether automated pupillometry combined with passive and active cognitive paradigms can detect residual consciousness in ICU patients with DoC.METHODS: We prospectively enrolled clinically low-response or unresponsive patients with traumatic or nontraumatic DoC from ICUs of a tertiary referral center. Age-matched and sex-matched healthy volunteers served as controls. Patients were categorized into clinically unresponsive (coma or unresponsive wakefulness syndrome) or clinically low-responsive (minimally conscious state or better). Using automated pupillometry, we recorded pupillary dilation to passive (visual and auditory stimuli) and active (mental arithmetic) cognitive paradigms, with task-specific success criteria (e.g., ≥ 3 of 5 pupillary dilations on five consecutive mental arithmetic tasks).RESULTS: We obtained 699 pupillometry recordings at 178 time points from 91 ICU patients with brain injury (mean age 60 ± 13.8 years, 31% women, and 49.5% nontraumatic brain injuries). Recordings were also obtained from 26 matched controls (59 ± 14.8 years, 38% women). Passive paradigms yielded limited distinctions between patients and controls. However, active paradigms enabled discrimination between different states of consciousness. With mental arithmetic of moderate complexity, ≥ 3 pupillary dilations were seen in 17.8% of clinically unresponsive patients and 50.0% of clinically low-responsive patients (odds ratio 4.56, 95% confidence interval 2.09-10.10; p < 0.001). In comparison, 76.9% healthy controls responded with ≥ 3 pupillary dilations (p = 0.028). Results remained consistent across sensitivity analyses using different thresholds for success. Spearman's rank analysis underscored the robust association between pupillary dilations during mental arithmetic and consciousness levels (rho = 1, p = 0.017). Notably, one behaviorally unresponsive patient demonstrated persistent command-following behavior 2 weeks before overt signs of awareness, suggesting prolonged cognitive motor dissociation.CONCLUSIONS: Automated pupillometry combined with mental arithmetic can identify cognitive efforts, and hence covert consciousness, in ICU patients with acute DoC.

U2 - 10.1007/s12028-024-01983-7

DO - 10.1007/s12028-024-01983-7

M3 - Journal article

C2 - 38605221

JO - Neurocritical Care

JF - Neurocritical Care

SN - 1541-6933

ER -

ID: 388995164