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Published on: July 4, 2018
Automated Quantitative Pupillometry in the Critically Ill: A Systematic Review of the Literature
Petra Opic1, Stephan Rüegg2, Stephan Marsch2
1From the Department of Intensive Care (P.O., S.M., R.S.), Basel Pharmacoepidemiology Unit (S.S.G.), Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, and Hospital Pharmacy (S.S.G.), University Hospital Basel; Department of Neurology (S.R., R.S.), Department of Clinical Research, Department of Clinical Research (S.R., S.M., R.S.), Medical Faculty, and Medical Faculty (S.M., R.S.), University of Basel, Switzerland. petra.opic@usb.ch.
Objective:
A systematic literature search has been performed to identify potential confounders for outcome prediction using pupillary light reflex in adult critically ill patients, as measured by handheld automated pupillometry devices.
Methods:
Three digital databases (PubMed, EmBase, Cochrane) were systematically searched. Articles published between 1990 and 2019 in adult patients using monocular automated handheld devices were considered. Studies were classified according to the Oxford Centre for Evidence-Based Medicine classification (level 1 represents the highest and level 5 the lowest level of evidence). Case reports, original research, and systematic reviews were included and cross-referenced.
Results:
With the use of 202 search terms, 58 eligible articles reporting the use of handheld pupillometry in the critically ill could be identified, considering 3,246 patients. The highest level of evidence came from 10 randomized trials and 19 prospective observational studies. The level of evidence was mostly 2 to 3 and highest with studies regarding the potential confounding effects of pain, the use of opioids, and increased intracranial pressure. Additional potential confounders found are selective serotonin reuptake inhibitors, α2-adregenic receptor agonists, and NMDA antagonists.
Conclusions:
The pupillary light reflex is susceptible to factors resulting from underlying comorbid conditions and effects of treatment regimens. Scenarios frequently encountered in critical care such as pain, use of opioids, and proof of increased intracranial pressure have potential confounding effects on outcome and pupillary reflexes. When treatment is guided by pupillary metrics, such confounders put patients at risk of overtreatment or undertreatment. Future research should validate and identify additional confounders, because our review suggests that even more unexplored confounders may exist.
