Early quantitative infrared pupillometry for prediction of neurological outcome in patients admitted to intensive care after out-of-hospital cardiac arrest.

Abstract

BACKGROUND:

Quantitative pupillometry is recommended for neuroprognostication after out-of-hospital cardiac arrest 72 h or more after ICU admission, but the feasibility and utility of earlier assessment is unknown.

METHODS:

This was a study of the utility of an early quantitative pupillometry index in predicting neurological outcome in patients with reduced consciousness after out-of-hospital cardiac arrest. Quantitative infrared pupillometry index was measured at 0, 6, 24, 48, and 72 h from admission. Acceptable predictive utility was defined as a positive predictive value of >95% and false positive rate of zero, with a narrow 95% confidence interval (95% CI).

RESULTS:

At least one quantitative pupillometry index measurement was available from within the first 6 h for all 77 patients who met inclusion criteria. A quantitative pupillometry index ≤2.4 at baseline and ≤2.3 within the first 6 h met the criteria for utility. The positive predictive value of the baseline cut-off (≤2.4) for poor neurological outcome was 1.00 (95% CI, 0.54-1.00) with an estimated false positive rate of 0% (95% CI, 0-9%). The positive predictive value of the 6 h cut-off (≤2.3) for poor neurological outcome was 1.00 (95% CI, 0.59-1.00) with an estimated false positive rate of 0% (95% CI, 0-8%). Sensitivities of these cut-offs for ruling out poor neurological outcomes at 0 and 6 h were 19% and 22%, respectively. Of seven patients with a quantitative pupillometry index ≤2.3 within 6 h of ICU admission, none survived. Analyses that used quantitative pupillometry index measurements from 24 to 72 h, but excluded baseline and 6 h values, were not predictive by the utility criteria.

CONCLUSIONS:

Quantitative pupillometry within 6 h of ICU admission after out-of-hospital cardiac arrest may identify patients with a very low chance of neurologically intact survival. Further studies of early quantitative pupillometry in this population are warranted.

• Authors: Alex Warren, Ciana McCarthy, Mervyn Andiapen, Margie Crouch, Simon Finney, Simon Hamilton, Ajay Jain, Daniel Jones, Alastair Proudfoot
• Journal: British journal of anaesthesia (Br J Anaesth) Vol. 128 Issue 5 Pg. 849-856 (05 2022) ISSN: 1471-6771 [Electronic] England
• PMID: 35256151 (Publication Type: Journal Article)
• Copyright: Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.

Topics

• Critical Care
• Hospitalization
• Humans
• Out-of-Hospital Cardiac Arrest (diagnosis, therapy)
• Predictive Value of Tests
• Prognosis
• Reflex, Pupillary