Nociception assessment with videopupillometry in deeply sedated intensive care patients: Discriminative and criterion validations.

Automated pupillometry Critical care Deep sedation Mechanical ventilation Nociception Noxious Pupil dilation

Journal

Australian critical care : official journal of the Confederation of Australian Critical Care Nurses
ISSN: 1036-7314
Titre abrégé: Aust Crit Care
Pays: Australia
ID NLM: 9207852

Informations de publication

Date de publication:
06 Sep 2023
Historique:
received: 20 03 2023
revised: 17 07 2023
accepted: 25 07 2023
medline: 9 9 2023
pubmed: 9 9 2023
entrez: 8 9 2023
Statut: aheadofprint

Résumé

Nociceptive assessment in deeply sedated patients is challenging. Validated instruments are lacking for this unresponsive population. Videopupillometry is a promising tool but has not been established in intensive care settings. To test the discriminate validity of pupillary dilation reflex (PDR) between non-noxious and noxious procedures for assessing nociception in non-neurological intensive care unit (ICU) patients and to test the criterion validity of pupil dilation using recommended PDR cut-off points to determine nociception. A single-centre prospective observational study was conducted in medical-surgical ICU patients. Two independent investigators performed videopupillometer measurements during a non-noxious and a noxious procedure, once a day (up to 7 days), when the patient remained deeply sedated (Richmond Agitation-Sedation Scale score: -5 or -4). The non-noxious procedures consisted of a gentle touch on each shoulder and the noxious procedures were endotracheal suctioning or turning onto the side. Bivariable and multivariable general linear mixed models were used to account for multiple measurements in same patients. Sensitivity and specificity, and areas under the curve of the receiver operating characteristic curve were calculated. Sixty patients were included, and 305 sets of 3 measurements (before, during, and after), were performed. PDR was higher during noxious procedures than before (mean difference between noxious and non-noxious procedures = 31.66%). After testing all variables of patient and stimulation characteristics in bivariable models, age and noxious procedures were kept in the multivariable model. Adjusting for age, noxious procedures (coefficient = -15.14 (95% confidence interval = -20.17 to -15.52, p < 0.001) remained the only predictive factor for higher pupil change. Testing recommended cut-offs, a PDR of >12% showed a sensitivity of 65%, and a specificity of 94% for nociception prediction, with an area under the receiver operating curve of 0.828 (95% confidence interval = 0.779-0.877). In conclusion, PDR is a potentially appropriate measure to assess nociception in deeply sedated ICU patients, and we suggest considering its utility in daily practices. This study was not preregistered in a clinical registry. Pupillometry may help clinicians to assess nociception in deeply sedated ICU patients.

Sections du résumé

BACKGROUND BACKGROUND
Nociceptive assessment in deeply sedated patients is challenging. Validated instruments are lacking for this unresponsive population. Videopupillometry is a promising tool but has not been established in intensive care settings.
AIM/OBJECTIVE OBJECTIVE
To test the discriminate validity of pupillary dilation reflex (PDR) between non-noxious and noxious procedures for assessing nociception in non-neurological intensive care unit (ICU) patients and to test the criterion validity of pupil dilation using recommended PDR cut-off points to determine nociception.
METHODS METHODS
A single-centre prospective observational study was conducted in medical-surgical ICU patients. Two independent investigators performed videopupillometer measurements during a non-noxious and a noxious procedure, once a day (up to 7 days), when the patient remained deeply sedated (Richmond Agitation-Sedation Scale score: -5 or -4). The non-noxious procedures consisted of a gentle touch on each shoulder and the noxious procedures were endotracheal suctioning or turning onto the side. Bivariable and multivariable general linear mixed models were used to account for multiple measurements in same patients. Sensitivity and specificity, and areas under the curve of the receiver operating characteristic curve were calculated.
RESULTS RESULTS
Sixty patients were included, and 305 sets of 3 measurements (before, during, and after), were performed. PDR was higher during noxious procedures than before (mean difference between noxious and non-noxious procedures = 31.66%). After testing all variables of patient and stimulation characteristics in bivariable models, age and noxious procedures were kept in the multivariable model. Adjusting for age, noxious procedures (coefficient = -15.14 (95% confidence interval = -20.17 to -15.52, p < 0.001) remained the only predictive factor for higher pupil change. Testing recommended cut-offs, a PDR of >12% showed a sensitivity of 65%, and a specificity of 94% for nociception prediction, with an area under the receiver operating curve of 0.828 (95% confidence interval = 0.779-0.877).
CONCLUSIONS CONCLUSIONS
In conclusion, PDR is a potentially appropriate measure to assess nociception in deeply sedated ICU patients, and we suggest considering its utility in daily practices.
REGISTRATION BACKGROUND
This study was not preregistered in a clinical registry.
TWEETABLE ABSTRACT CONCLUSIONS
Pupillometry may help clinicians to assess nociception in deeply sedated ICU patients.

Identifiants

pubmed: 37684156
pii: S1036-7314(23)00132-7
doi: 10.1016/j.aucc.2023.07.038
pii:
doi:

Types de publication

Journal Article

Langues

eng

Informations de copyright

Copyright © 2023 Australian College of Critical Care Nurses Ltd. Published by Elsevier Ltd. All rights reserved.

Auteurs

Eva Favre (E)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland; Institute of Higher Education and Research in Healthcare, University of Lausanne and Lausanne University Hospital, Switzerland.

Zahra Rahmaty (Z)

Institute of Higher Education and Research in Healthcare, University of Lausanne and Lausanne University Hospital, Switzerland.

Nawfel Ben-Hamouda (N)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland.

John-Paul Miroz (JP)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland.

Samia Abed-Maillard (S)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland.

Marco Rusca (M)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland.

Mauro Oddo (M)

Department of Intensive Care, Lausanne University Hospital and Lausanne University, Switzerland; Medical Directorate for Research, Education and Innovation, Lausanne University Hospital and University of Lausanne, Switzerland.

Anne-Sylvie Ramelet (AS)

Institute of Higher Education and Research in Healthcare, University of Lausanne and Lausanne University Hospital, Switzerland. Electronic address: anne-sylvie.ramelet@chuv.ch.

Classifications MeSH