Clinical Utility of an Automated Pupillometer in Patients with Acute Brain Lesion

Assessment of sedation by automated pupillometry in critically ill patients: a prospective observational study

BACKGROUND

Quantitative measurement of pupil change has not been assessed against the Richmond Agitation and Sedation Scale (RASS) and spectral edge frequency (SEF) during sedation. The aim of this study was to evaluate pupillometry against these measures in sedated critically ill adult patients.

METHODS

In ventilated and sedated patients, pupillary variables were measured by automated pupillometry at each RASS level from -5 to 0 after discontinuation of hypnotics, while processed electroencephalogram variables were displayed continuously and SEF was recorded at each RASS level. Correlations were made between percentage pupillary light reflex (%PLR) and RASS, and between %PLR and SEF. The ability of %PLR to differentiate light sedation (RASS ≥-2), moderate (RASS =-3), and deep sedation (RASS ≤-4) was assessed by areas under receiver operating characteristic (ROC) curves.

RESULTS

A total of 163 paired measurements were recorded in 38 patients. With decreasing sedation depth, median %PLR increased progressively from 20% (interquartile range 17-25%) to 36% (interquartile range 33-40%) (P<0.001). Strong correlations were found between %PLR and RASS (Rho=0.635) and between %PLR and SEF (R=0.641). Area under the curve (AUC) of 0.87 with a %PLR threshold of 28% differentiated moderate/light sedation from deep sedation with sensitivity of 83% and specificity of 83%. An AUC of 0.82 with a threshold of 31% distinguished light sedation from moderate/deep sedation with a sensitivity of 81% and a specificity of 75%.

CONCLUSIONS

Quantitative assessment of %PLR correlates with other indicators of sedation depth in critically ill patients.

A smartphone pupillometry tool for detection of acute large vessel occlusion

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.

Neurological Pupillary Index (NPi) Measurement Using Pupillometry and Outcomes in Critically Ill Children

Aim/objective Neurological Pupil Index (NPi), measured by automated pupillometry (AP), allows the objective assessment of pupillary light reflex (PLR). NPi ranges from 0 (non-reactive) to 5 (normal). In this study, we aimed to compare neurologic and functional outcomes in children admitted for neurologic injury with normal (≥3) versus abnormal (<3) NPi measured during their pediatric intensive care unit (PICU) stay. Materials and methods We conducted a retrospective chart review of children between one month and 18 years admitted to our PICU with a diagnosis of neurologic injury between January 2019 and June 2022. We collected demographic, clinical, pupillometer, and outcome data, including mortality, Pediatric Cerebral Performance Category (PCPC), Pediatric Overall Performance Category (POPC), and Functional Status Score (FSS) at admission, at discharge, and at the three to six-month follow-up. We defined abnormal pupil response as any NPi <3 at any point during the PICU stay. Using the student's t-test and chi-square test, we compared the short-term and long-term outcomes of children with abnormal NPi (<3) versus those with normal NPi (≥3). Results There were 49 children who met the inclusion criteria and who had pupillometry data available for analysis. The mean (SD) Glasgow Coma Scale (GCS) in the study cohort was 5.6 (4.3), and 61% had low (<3) NPi during ICU stay. Mortality was significantly higher among patients with an abnormal NPi as compared to those with normal NPi. Children with abnormal NPi exhibited significant worsening of neurologic and functional status (ΔPCPC, ΔPOPC, and ΔFSS) from admission to discharge (mean (SD): 3.55(1.5), 3.45(1.43), 16.75(7.85), p<0.001) as compared to those with normal NPi (mean (SD): 1.45(0.93), 1.73(0.90), 3.55(2.07), p>0.05). The significant difference in neurologic and functional status persisted at the three to six-month follow-up between the two groups - children with abnormal NPi (mean (SD): 2.0(1.41), 2.08(1.38), 6.92(6.83), p<0.01) and children with normal NPi (mean (SD): 0.82(1.01), 0.94(1.03), 1.53(1.70), p>0.05). Conclusion In our retrospective cohort study, children admitted to the PICU for a neuro injury and with abnormal NPi (< 3) have higher mortality, and worse short-term and long-term neurologic and functional outcomes as compared to those with normal NPi (≥ 3) measured during the PICU course. AP provides an objective assessment of PLR and has potential applications for neuro-prognostication. More research needs to be done to elucidate the prognostic value of NPi in pediatrics.

The impact of Alzheimer's disease risk factors on the pupillary light response

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.

Application of Pupillometry in Neurocritical Patients

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.

Prognostic role of automatic pupillometry in sepsis: a retrospective study

BACKGROUND

Sepsis-associated brain dysfunction is a frequent disorder in septic patients and has a multifactorial pathophysiology. Cholinergic pathways and brainstem dysfunction may result in pupillary alterations. The aim of this study was to evaluate whether early assessment of the Neurological Pupil Index (NPiTM) derived from an automated pupillometry could predict mortality in critically ill septic patients.

METHODS

Retrospective cohort study of adult critically ill septic patients admitted to the intensive care unit of an University Hospital; patients with acute or known brain damage were excluded. The severity of the patients was assessed by the daily Sequential Organ Failure Assessment score and the SOFAmax (i.e. highest SOFA score during the first 5 days) was computed. The worst NPi (i.e. lowest value from one eye) was collected daily and then computed over the first 5 days of assessment. Mortality was assessed at hospital discharge.

RESULTS

A total of 75 patients were included over the study period (median age 67 [53-75] years and median SOFA score at admission 10 [8-12]); 64 (85%) presented septic shock; 48 (64%) died at hospital discharge. The worst NPi during the first 5 days of sepsis was significantly lower in non-survivors compared to survivors (4.4 [3.6-4.6] vs. 4.5 [4.2-4.7]; p=0.042). The worst NPi was also significantly lower in high severity group (i.e. SOFAmax≥12) when compared to others (4.4 [3.2- 4.5] vs 4.5 [4.0-4.7] p=0.01). However, in the multivariate analyses, the NPi value was not independently associated with in-hospital mortality or high SOFAmax.

CONCLUSIONS

In this study, no independent prognostic role of NPi was observed in septic patients. Further larger prospective studies are needed to better evaluate the role of automated pupillometry in this setting.

Early Pupillometry Assessment in Traumatic Brain Injury Patients: A Retrospective Study

BACKGROUND

The aim of this study was to evaluate whether the early assessment of neurological pupil index (NPi) values derived from automated pupillometry could predict neurological outcome after traumatic brain injury (TBI).

METHODS

Retrospective observational study including adult (>18 years) TBI patients admitted from January 2018 to December 2020, with available NPi on admission. Abnormal NPi was considered if <3. Unfavorable neurological outcome (UO) at hospital discharge was considered for a Glasgow Outcome Scale of 1-3.

RESULTS

100 patients were included over the study period (median age 48 (34-69) years and median GCS on admission 11 (6-15)); 49 (49%) patients had UO. On admission, 20 (20%) patients had an abnormal NPi (NPi < 3); median worst (i.e., from both eyes) NPi was 4.2 (3.2-4.5). Median worst and mean NPi on admission were significantly lower in the UO group than others (3.9 (1.7-4.4) vs. 4.4 (3.7-4.6); p = 0.005-4.0 (2.6-4.5) vs. 4.5 (3.9-4.7); p = 0.002, respectively). The ROC curve for the worst and mean NPi showed a moderate accuracy to predict UO (AUC 0.66 (0.56-0.77); p = 0.005 and 0.68 (0.57-0.78); p = 0.002). However, in a generalized linear model, the prognostic role of NPi on admission was limited.

CONCLUSIONS

Low NPi on admission has limited prognostic value in TBI.

Pupillary Light Reflex Induced by Two-Photon Vision

Purpose

Two-photon vision relies on the perception of pulsed infrared light due to two-photon absorption in visual pigments. This study aimed to measure human pupil reaction caused by a two-photon 1040-nm stimulus and compare it with pupil responses elicited by 520-nm stimuli of similar color.

Methods

Pupillary light reflex (PLR) was induced on 14 dark-adapted healthy subjects. Three types of fovea-centered stimuli of 3.5° diameter were tested: spirals formed by fast scanning 1040-nm (infrared [IR] laser) or 520-nm (visible [VIS] laser) laser beams and uniformly filled circle created by 520-nm LED (VIS light-emitting diode [LED]). The power of visible stimuli was determined with a dedicated procedure to obtain the same perceived brightness equivalent as for 800 µW used for two-photon stimulation.

Results

The minimum pupil diameter for IR laser was 88% ± 10% of baseline, significantly larger than for both VIS stimuli: 74% ± 10% (laser) and 69% ± 9% (LED). Mean constriction velocity and time to maximum constriction had significantly smaller values for IR than for both VIS stimuli. Latency times were similar for IR and VIS lasers and slightly smaller for VIS LED.

Conclusions

The two-photon stimulus caused a considerably weaker pupil reaction than one-photon stimuli of the same shape, brightness, and similar color. The smaller pupil response may be due to weaker two-photon stimulation of rods relative to cones as previously observed for two-photon vision. Contrary to normal vision, in a two-photon process the stray light is not perceived, which might reduce the number of stimulated photoreceptors and further weaken the PLR.

[Pupillometry as a method for monitoring of pupillary light reflex in ICU patients]

This review is devoted to the modern method of monitoring of pupil diameter and reactivity in patients with acute brain injury. The authors present complete data on diagnostic and prognostic capabilities of automated infrared pupillometry, which should take its rightful place in comprehensive assessment of functional brain state in ICU patients. In authors' opinion, clinical introduction of pupillometry will improve prediction of outcomes following acute brain injury and quality of neurological monitoring in patients with cerebral edema and intracranial hypertension.

Automated Pupillary Measurements Inversely Correlate With Increased Intracranial Pressure in Pediatric Patients With Acute Brain Injury or Encephalopathy

OBJECTIVES

The purpose of this study was to determine correlation and temporal association between automated pupillary measurements and intracranial pressure in pediatric patients with brain injury or encephalopathy requiring intracranial pressure monitoring. We hypothesized that abnormal pupillary measurements would precede increases in intracranial pressure.

DESIGN

A prospective cohort study was performed. Automated pupillometry measurements were obtained at the same frequency as the patients' neurologic assessments with concurrent measurement of intracranial pressure, for up to 72 hours. Pupillary measurements and the Neurologic Pupil index, an algorithmic score that combines measures of pupillary reactivity, were assessed for correlation with concurrent and future intracranial pressure measurements.

SETTING

Single-center pediatric quaternary ICU, from July 2017 to October 2018.

PATIENTS

Pediatric patients 18 years or younger with a diagnosis of acute brain injury or encephalopathy requiring an intracranial pressure monitor.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Twenty-eight patients were analyzed with a total of 1,171 intracranial pressure measurements. When intracranial pressure was elevated, the Neurologic Pupil index, percent change in pupillary size, constriction velocity, and dilation velocity were significantly lower than when intracranial pressure was within normal range (p < 0.001 for all). There were mild to moderate negative correlations between concurrent intracranial pressure and pupillary measurements. However, there was an inconsistent pattern of abnormal pupillary measurements preceding increases in intracranial pressure; some patients had a negative association, while others had a positive relationship or no relationship between Neurologic Pupil index and intracranial pressure.

CONCLUSIONS

Our data indicate automated assessments of pupillary reactivity inversely correlate with intracranial pressure, demonstrating that pupillary reactivity decreases as intracranial pressure increases. However, a temporal association in which abnormal pupillary measurements precede increases in intracranial pressure was not consistently observed. This work contributes to limited data available regarding automated pupillometry in neurocritically ill patients, and the even more restricted subset available in pediatrics.

A Systematic Review Assessing the Current State of Automated Pupillometry in the NeuroICU

The aim of this study was to assess the current state of automated pupillometry technology and its application in the neurointensive care unit (neuroICU). We performed a literature search using the PubMed, MEDLINE, and EMBASE databases from database inception through a search end date of October 18, 2018, to identify studies reporting on the use of automated pupillometry in the care of critically ill patients with neurological impairment. Two independent reviewers reviewed all titles and abstracts in two filtering phases. Data were extracted independently. One hundred and forty-one articles/abstracts have been published on the use of automated pupillometry in critical care since inception of the PubMed, MEDLINE, and EMBASE databases. We selected and reviewed 22 full-text articles and 8 abstracts, of which 26 were prospective, 2 were retrospective, and 2 were larger case series. Automated pupillometry increased precision, reliability, and reproducibility compared with the manual pupillary examination; detected subtle and early pupillary changes; detected pupillary changes that indicate a rise, or impending rise, in intracranial pressure detected level of analgesia and depth of sedation; served as a prognostic indicator; estimated the clinical severity of aneurysmal subarachnoid hemorrhage; and served as a noninvasive monitor of response to osmotic therapy. At present, no consensus guidelines exist endorsing routine use of automated pupillometry in the neuroICU. However, an increasing quantity of research supports the usefulness of automated pupillometry in this setting. Further large-scale prospective studies are needed before updated consensus guidelines recommending widespread adoption of automated pupillometry are produced.

Automated Pupillometry as an Adjunct to Clinical Examination in Patients With Acute Vision Loss

BACKGROUND

Despite automated pupillometry's (AP) improved detection of relative afferent pupillary defects (RAPDs) compared with the Swinging Flashlight Test (SFT), AP remains uncommon in clinical practice. This study examined barriers to routine use of AP in evaluation of acute vision loss.

METHODS

(1) Ophthalmologists and optometrists' perceptions of AP were captured via electronic survey. (2) Ophthalmologists were presented with clinical vignettes to assess their use of AP in clinical decision-making. (3) Patients presenting with decreased vision to an ophthalmology urgent care clinic underwent manual SFT and AP screening to evaluate ophthalmologists' perceptions of the device.

RESULTS

Surveys indicated that clinicians were "neutral" to "somewhat likely" to use AP. In clinical vignettes, more physicians proceeded with workup for optic nerve pathology when presented with an RAPD by AP than SFT (77% vs 26%, P = 0.003). When SFT and AP results were discordant, more physicians proceeded with workup for optic nerve disease when AP was positive and SFT was negative than vice versa (61% vs 18%, P = 0.008). In the clinical study of 21 patients, 50% of RAPDs detected by AP were not detected by SFT, although ophthalmologists rated AP's usefulness as only "neutral" to "somewhat useful."

CONCLUSION

Clinicians value pupillary examination and trust AP over SFT; however, widespread adoption and perceived value of AP may depend on its impact on clinical outcomes. Within a comprehensive diagnostic device, AP may be an important tool, but is not necessary to screen for optic nerve disease or evaluate acute vision loss.

Correlation of Objective Pupillometry to Midline Shift in Acute Stroke Patients

BACKGROUND

Pupillary dysfunction is recognized as a sign of acute neurological deterioration due to worsening mass effect in patients with hemispheric strokes. Recent neuroimaging studies suggest that horizontal displacement of brain structures may be more important than vertical displacement in explaining these pupillary findings. Pupillometers allow objective and standardized evaluation of the pupillary light reflex. We hypothesized that pupillary data (Neurological Pupil index [NPi] and constriction velocity [CV]) obtained with a hand-held pupilometer, correlate with horizontal intracranial midline shift in patients with ischemic and hemorrhagic strokes.

METHODS

The ENDPANIC registry is a prospective database of pupillometer readings in neurological patients. There were 134 patients in the database with an acute ischemic stroke or intracerebral hemorrhage who had at least 2 neurologic imaging studies (CT or MRI) and pupillometer assessments performed within 6 hours of the imaging. Horizontal shift of the septum pellucidum (SPS) was measured in 293 images. We computed the correlation between SPS and the following pupillary variables: size, NPi, CV (left, right, and left-right difference), followed by a regression model to control for confounders.

RESULTS

There were 94 patients (70.1%) with an ischemic stroke and 40 patients (29.9%) had an intracerebral hemorrhage. After controlling for age, race, and gender, there was a significant correlation between the SPS and NPi (left [P < .001], right [P < .001]), CV (left [P < .005], right [P < .001]) pupillary asymmetry (absolute difference between right and left; P < .05), but not between SPS and pupillary size (left or right). There was a significant correlation between the NPi and CV for the right pupil when there was a right-to-left SPS (P < .001 and P < .05, respectively), but none between the NPi and CV for the left pupil and left-to-right SPS.

CONCLUSIONS

In patients with ischemic and hemorrhagic strokes, there is a significant correlation between SPS and the NPi, CV and pupillary asymmetry, but not with pupillary size.

Novel minimally invasive multi-modality monitoring modalities in neurocritical care

Elevated intracranial pressure (ICP) following brain injury contributes to poor outcomes for patients, primarily by reducing the caliber of cerebral vasculature, and thereby reducing cerebral blood flow. Careful monitoring of ICP is critical in these patients in order to determine prognosis, implement treatment when ICP becomes elevated, and to judge responsiveness to treatment. Currently, the gold standard for monitoring is invasive pressure transducers, usually an intraventricular monitor, which presents significant risk of infection and hemorrhage. These risks made discovering non-invasive methods for monitoring ICP and cerebral perfusion a priority for researchers. Herein we sought to review recent publications on novel minimally invasive multi-modality monitoring techniques that provide surrogate data on ICP, cerebral oxygenation, metabolism and blood flow. While limitations in various forms preclude them from supplanting the use of invasive monitors, these modalities represent useful screening tools within our armamentarium that may be invaluable when the risks of invasive monitoring outweigh the associated benefits.

The use and uptake of pupillometers in the Intensive Care Unit

BACKGROUND

Traumatic brain injury (TBI) is a significant public health issue. Assessing pupil reactivity is a crucial aspect of its management and the pupillometer has been shown to be a more objective tool compared to the standard penlight. Its use, however, is not widespread.

OBJECTIVE

To investigate the paucity in uptake, we examined the frequency of use of pupillometers (NeurOptics^®NPi-100™) amongst Intensive Care Unit (ICU) doctors and nurses, evaluated its user-friendliness and explored barriers to its use.

DESIGN

An online cross-sectional survey.

METHODS

Surveys were distributed five months after the introduction of pupillometers (in May 2015) to ICU doctors and nurses working in a quaternary referral centre providing state services for trauma. The survey included sections on: questions on demographics and experience, methods of conventional pupillary assessment in patients with TBI, experience of using the pupillometer, and questions on barriers to its use. Responses were collated as discrete variables and summarised using counts and proportions. Comparisons among proportions were undertaken using the chi-squared test and reported with 95% confidence intervals.

RESULTS

A total of 79 responses were recorded, predominantly 94.9% (n=75) from nursing staff. A total of 50 (63.3%) responders were using the pupillometers, with a mean frequency-of-use rating of 4.67 out of 10 and a mean user-friendliness rating of 6.28 out of 10. There was no association between frequency of use and user-friendliness (p=0.36). The main identified barriers to its use included a lack of education with regards to its use, a perceived lack of clinical significance, a lack of standardisation of documenting findings, and difficulties with access to disposable patient shields (Smartguards).

CONCLUSIONS

There was good adoption of the technology in the early phases of ICU implementation with user-friendliness rated favourably. In this paper we identify barriers to use and discuss possible solutions to increase clinical utility.