Wikipedia

Pupilometer

Pupillometer, also spelled pupilometer, is a medical device intended to measure by reflected light the size of the pupil of the eye.[1] In addition to measuring pupil size, current automated pupillometers may also be able to characterize pupillary light reflex. Some instruments for measuring pupillary distance (PD) are often, but incorrectly, referred to as pupilometers.[2]

Manual pupillometry

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A manual pupillometer measures pupil size via a comparison chart method. There are several types of manual pupillometers. The most common type is the Haab scale, or Haab's pupillometer, which is a series of graduated filled circles on a slide ruler.[2]

Automated Pupillometry

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An automated pupillometer is a portable, handheld device that provides a reliable and objective measurement of pupillary size, symmetry, and reactivity through measurement of the pupillary light reflex (PLR). PLR is historically assessed by a nurse or a clinician using a manual flash lamp (sPLR, “s” stands for standard). sPLR is opposed to quantitative PLR (qPLR) that is provided by an automated pupillometer. qPLR corresponds to the percentage of pupillary constriction to a calibrated light stimulus.[3] Independent of examiner, an automated pupillometer offers reproducible and precise measurements by eliminating variability and subjectivity, expressing pupil reactivity numerically so that both pupil size and reactivity can be trended for changes, just like other vital signs. An automated pupillometer also provides a reliable and effective way to quantitatively classify and trend the pupil light response.[4][5][6][7]

The pupillary light reflex is the constriction of the pupils when exposed to bright light, protecting the retina from excessive light exposure. It involves the automatic constriction and dilation of the pupils in response to changes in light intensity or accommodation.

With an automated pupillometer and an algorithm analyzing the pupil continuously for 5 seconds, the Quantitative Pupillometry Index (QPi) can measure pupillary reactivity and provides a numerical value. It provides objective data and can detect subtle changes that might not be apparent to the naked eye. Its quantitative nature provides objective and more reliable assessment. Moreover, the index of Neurolight pupillometer is color-coded for a quick clinical interpretation. It displays through a qualitative scale a quantitative interval for each color associated with its number.[8]


Automated pupillometry removes subjectivity from the pupillary evaluation[5], providing a more accurate trend of pupil data, and allowing earlier detection of changes for more timely patient treatment. Pupil data can be uploaded to the patient record, eliminating the possibility of data entry errors. The pupil size and reactivity are daily measurements and part of the protocol for critically injured or ill patients. They are essential in the clinical monitoring and neurological assessment of the patient. Abnormalities in pupillary responses can be indicative of underlying neurological disorders, such as traumatic brain injury, stroke, cardiac arrest[9] or certain neurodegenerative diseases.

 
Neurological assessment with NeuroLight pupillometer (IDMED, IDMED Corp.)
 
NPi-300 automated infrared pupillometer (NeurOptics, Inc.)

Another automated pupillometer named NeurOptics' Neurological Pupil index (NPi) can offer a consolidated parametric approach to mitigate subjectivity.[10] The NeuroLight and NPi pupillometer are both device for measuring pupils but differ significantly in terms of ergonomics and functionality. The main distinction lies in the NPi’s use of a transparent eyecup that contains an electronic component for patient identification and results recording, making it unique to each patient. This consumable allows ambient light to pass through, which can lead to data reproducibility issues. On the other hand, NeuroLight features a touchscreen display and utilizes a reusable opaque eyecup that isolates from ambient light. The NPi and automated pupillometry such as NeuroLight (QPi) have also recently been included in the updated 2020 American Heart Association (AHA) Guidelines for Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care (ECC) as an objective measurement supporting brain injury prognosis in patients following cardiac arrest.[11] Studies published in peer-reviewed journals continue to demonstrate the effectiveness of NeurOptics' NPi in helping clinicians improve patient outcomes.[12][13][14][15][16][17][18][19][20][21][22][23][24]

The most effective way to use an automated pupillometer is to establish the earliest possible baseline measurement when the patient is admitted into the critical care unit or emergency department, and then trend for changes over time.

 
NeurOptics, Inc. Pupillometer Results Screens

The use of automated pupillometry in critical care is a natural progression in technology for routine examination.[25] The pupillometer does not modify the clinical interest of the routine assessment; it removes the margin of error by giving measurements instead of evaluations.[26] Taking a measurement with a pupillometer is very easy and healthcare professionals can start the measurement without the need of calibration. To avoid artifacts in the measurement, it is recommended to use a pupillometer with an opaque eyecup to ambient light. If the eyecup is translucent the ambient light can have a negative impact on the measurements and on their reproducibility. The NeuroLight pupillometer can overcome these constraints thanks to its opaque eyecup.[27][28]

Pupil response

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Many automated pupilometers can also function as a type of pupil response monitor by measuring pupil dilation in response to a visual stimulus.

In ophthalmology, a pupillary response to light is differentiated from a pupillary response to focus (i.e. pupils may constrict on near focus, as with the Argyll Robertson pupil) in the diagnosis of tertiary syphilis. Although a pupillometer can be used, the diagnosis is often made with a penlight & near-point card

The extent of dilation of the pupil in the eye could be an indicator of interest and attention.[29] Methods of reliable measurement of cognitive load, such as the dilation or constriction of the pupils, are used in marketing research to assess the attractiveness of TV commercials. Dilation of the pupils reflects an increase in mental processes, whether it be attentiveness, or psychomotor responsiveness.[30] The pupil response has also been found to reflect long-term memory processes both at encoding, predicting the success of memory formation,[31] and at retrieval reflecting the operation of different recognition outcomes.[32] In summary, pupillary response refers to the changes in pupil size that occur in response to light, emotional stimuli, or cognitive processes. In addition, monitoring can provide valuable insights into the functioning of the automatic nervous system and aid in the diagnosis and management of neurological disorders.

Pupillary Distance Measurement

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Main article: Pupillary Distance

In the context of dispensing eyeglasses, some instruments for measuring PD are colloquially referred to as a pupillometer even though "interpupillometer" is the appropriate term for this instrument.[2] There are many ways to measure PD ranging from a simple ruler (or "PD stick") traditionally used by eye care professionals (ECP) to the so-called pupillometers to state of the art digital systems that may offer better accuracy and precision while also allowing for various other measurements (e.g., vertex distance, pantoscopic tilt, wrap, etc.) to be taken.[33] Measurement accuracy is more of a concern for progressive lenses where small deviations can severely impact visual performance.

The PD measuring instruments referred to as a pupillometers are optical devices that rest on the nose bridge similar to eyeglass frames and work by sighting the corneal reflection produced by an internally-mounted coaxial light source (e.g. Essilor Corneal Reflection Pupillometer[34]). These instruments are most commonly used for fitting glasses (i.e., center the lenses on the visual axes). However, they may also be used to verify a PD measurements taken with a PD stick. Since these instruments do not measure any actual pupil parameters (e.g., size, symmetry, reflex, etc.), they do not fall under the medical device definition of a pupillometer.[1]

In addition to having PD measured in a retail setting, a variety of web and mobile (Android and iOS) apps are now widely available. Web apps are used by a variety of online sellers of eyeglasses where an object of known size, such as a credit card, is needed to assist (size reference) the measurement process.[35][36] Some mobile apps have eliminated the need for a reference object to make accurate PD measurements by leveraging depth imaging and advanced algorithms now available on some mobile platforms.[37]

See also

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References

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  1. ^ a b 21 CFR Section 886.1700 Pupillometer, Food and Drug Administration, Retrieved 20 February 2023.
  2. ^ a b c thefreedictionary.com, Definition of "pupilometer", Millodot: Dictionary of Optometry and Visual Science, 7th edition. © 2009 Butterworth-Heinemann. Retrieved 20 February 2023.
  3. ^ Oddo, M.; Sandroni, C.; Citerio, G.; Miroz, J. P.; Horn, J.; Rundgren, M.; Cariou, A.; Payen, J. F.; Storm, C.; Stammet, P.; Taccone, F. S. (2018). "Quantitative versus standard pupillary light reflex for early prognostication in comatose cardiac arrest patients: An international prospective multicenter double-blinded study". Intensive Care Medicine. 44 (12): 2102–2111. doi:10.1007/s00134-018-5448-6. PMC 6280828. PMID 30478620.
  4. ^ Olson D, Fishel M. The use of automated pupillometry in critical care. Critical Care Nursing Clinics North America. 2015;28(2016):101-107.
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  6. ^ Chen J, Gombart Z, Rogers S, Gardiner S, Cecil S, Bullock R. Pupillary reactivity as an early indicator of increased intracranial pressure: the introduction of the neurological pupil index. Surg Neurol Int. 2011;2:82.
  7. ^ Du R, Meeker M, Bacchetti P, Larson M, Holland M, Manley G. Evaluation of the portable infrared pupillometer. Neurosurgery. 2005 57:198–203.
  8. ^ Larson, M. D.; Singh, V. (2016). "Portable infrared pupillometry in critical care". Critical Care. 20 (1): 161. doi:10.1186/s13054-016-1349-7. PMC 4916536. PMID 27329287.
  9. ^ Suys, T.; Bouzat, P.; Marques-Vidal, P.; Sala, N.; Payen, J. F.; Rossetti, A. O.; Oddo, M. (2014). "Automated quantitative pupillometry for the prognostication of coma after cardiac arrest". Neurocritical Care. 21 (2): 300–308. doi:10.1007/s12028-014-9981-z. PMID 24760270. S2CID 19461539.
  10. ^ Olson, D.; Stutzman, S; Saju, C; Wilson, M; Zhao, W; Aiyagari, V (2016). "Interrater Reliability of Pupillary Assessments". Neurocritical Care. 24 (2): 251–7. doi:10.1007/s12028-015-0182-1. PMID 26381281. S2CID 6853532.
  11. ^ Panchal, Ashish R.; Bartos, Jason A.; Cabañas, José G.; Donnino, Michael W.; Drennan, Ian R.; Hirsch, Karen G.; Kudenchuk, Peter J.; Kurz, Michael C.; Lavonas, Eric J.; Morley, Peter T.; O’Neil, Brian J. (2020-10-20). "Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care". Circulation. 142 (16_suppl_2): S366–S468. doi:10.1161/CIR.0000000000000916. ISSN 0009-7322. PMID 33081529.
  12. ^ Al-Obaidi, Sameer (October 2019). "Impact of Increased Intracranial Pressure on Pupillometry: A Replication Study". Critical Care Explorations. 1 (10): e0054. doi:10.1097/CCE.0000000000000054. PMC 7063890. PMID 32166235.
  13. ^ Al-Obaidi, Sameer (October 2019). "Investigating the Association Between Eye Colour and the Neurological Pupil Index" (PDF). Australian Critical Care.
  14. ^ Lussier, Bethany (December 2019). "Distributions and Reference Ranges for Automated Pupillometer Values in Neurocritical Care Patients". Journal of Neuroscience Nursing. 51 (6): 335–340. doi:10.1097/JNN.0000000000000478. PMID 31688284. S2CID 207896754.
  15. ^ Miroz, John-Paul (February 2020). "Neurological Pupil index for Early Prognostication After Venoarterial Extracorporeal Membrane Oxygenation" (PDF). Chest. 157 (5): 1167–1174. doi:10.1016/j.chest.2019.11.037. PMID 31870911. S2CID 209461340.
  16. ^ Kim, Tae Jung (February 2020). "Neurological Pupil Index as an Indicator of Neurological Worsening in Large Hemispheric Strokes" (PDF). Journal of Neurocritical Care. 33 (2): 575–581. doi:10.1007/s12028-020-00936-0. PMID 32096118. S2CID 211266302.
  17. ^ Ahmadieh, Tarek (2021). "Automated Pupillometry as a Triage and Assessment Tool in Patients with Traumatic Brain Injury" (PDF). World Neurosurgery. 145: e163–e169. doi:10.1016/j.wneu.2020.09.152. PMID 33011358. S2CID 222145396.
  18. ^ Godau, Jana (November 2020). "Quantitative Infrared Pupillometry in Nonconvulsive Status Epilepticus" (PDF). Journal of Neurocritical Care. 35 (1): 113–120. doi:10.1007/s12028-020-01149-1. PMID 33215395. S2CID 227066130.
  19. ^ Khadijah, Mazhar (December 2020). "Supratentorial intracerebral hemorrhage volume and other CT variables predict the neurological pupil index" (PDF). Clinical Neurology and Neurosurgery.
  20. ^ Nichols, Aaron (2020). "Objective Measurement of Sustained Pupillary Constriction: A Pilot Study Using an App-Based Pupilometer". Vision Development and Rehabilitation. 6: 57 – via COVD.
  21. ^ Achamallah, Natalie; Fried, Jeffrey; Love, Rebecca; Matusov, Yuri; Sharma, Rohit (April 2021). "Pupillary Light Reflex Is Not Abolished by Epinephrine and Atropine Given During Advanced Cardiac Life Support in Patients Who Achieve Return of Spontaneous Circulation". Journal of Intensive Care Medicine. 36 (4): 459–465. doi:10.1177/0885066620906802. ISSN 0885-0666. PMID 32066312. S2CID 211158534.
  22. ^ Lussier, Bethany L.; Stutzman, Sonja E.; Atem, Folefac; Venkatachalam, Aardhra M.; Perera, Anjali C.; Barnes, Arianna; Aiyagari, Venkatesh; Olson, DaiWai M. (December 2019). "Distributions and Reference Ranges for Automated Pupillometer Values in Neurocritical Care Patients". Journal of Neuroscience Nursing. 51 (6): 335–340. doi:10.1097/JNN.0000000000000478. ISSN 1945-2810. PMID 31688284. S2CID 207896754.
  23. ^ Khadijah, Mazhar (2021-01-01). "Supratentorial intracerebral hemorrhage volume and other CT variables predict the neurological pupil index". Clinical Neurology and Neurosurgery. 200: 106410. doi:10.1016/j.clineuro.2020.106410. ISSN 0303-8467. PMID 33341651. S2CID 227279539.
  24. ^ Cortes, Michaela X.; Siaron, Kathrina B.; Nadim, Hend T.; Ahmed, Khalid M.; Romito, Jia W. (June 2021). "Neurological Pupil Index as an Indicator of Irreversible Cerebral Edema: A Case Series". Journal of Neuroscience Nursing. 53 (3): 145–148. doi:10.1097/JNN.0000000000000584. ISSN 1945-2810. PMID 33782353. S2CID 232419340.
  25. ^ Couret, D.; Boumaza, D.; Grisotto, C.; Triglia, T.; Pellegrini, L.; Ocquidant, P.; Bruder, N. J.; Velly, L. J. (2016). "Reliability of standard pupillometry practice in neurocritical care: An observational, double-blinded study". Critical Care. 20: 99. doi:10.1186/s13054-016-1239-z. PMC 4828754. PMID 27072310.
  26. ^ Larson, M. D.; Singh, V. (2016). "Portable infrared pupillometry in critical care". Critical Care. 20 (1): 161. doi:10.1186/s13054-016-1349-7. PMC 4916536. PMID 27329287.
  27. ^ Couret, David; Simeone, Pierre; Freppel, Sebastien; Velly, Lionel (2019). "The effect of ambient-light conditions on quantitative pupillometry: A history of rubber cup". Neurocritical Care. 30 (2): 492–493. doi:10.1007/s12028-018-0664-z. PMID 30604030. S2CID 58598812.
  28. ^ Ong, C.; Hutch, M.; Smirnakis, S. (2019). "The Effect of Ambient Light Conditions on Quantitative Pupillometry". Neurocritical Care. 30 (2): 316–321. doi:10.1007/s12028-018-0607-8. PMID 30218349. S2CID 52275495.
  29. ^ Hess, Eckhard H.; Polt, James M. (5 August 1960). "Pupil Size as Related to Interest Value of Visual Stimuli". Science. 132 (3423): 349–50. Bibcode:1960Sci...132..349H. doi:10.1126/science.132.3423.349. PMID 14401489. S2CID 12857616.
  30. ^ "Dr. John Andreassi, editor of International Journal of Psychphysiology, with guest editor Eric Granholm "Pupillometric Measures of Cognitive and Emotional Processes"" (PDF). Retrieved 2007-07-16.
  31. ^ Kafkas, Alexandros; Montaldi, Daniela (2011). "Recognition Memory Strength is Predicted by Pupillary Responses at Encoding While Fixation Patterns Distinguish Recollection from Familiarity". Quarterly Journal of Experimental Psychology. 64 (10): 1971–1989. doi:10.1080/17470218.2011.588335. PMID 21838656. S2CID 28231193.
  32. ^ Kafkas, Alexandros; Montaldi, Daniela (2012). "Familiarity and recollection produce distinct eye movement, pupil and medial temporal lobe responses when memory strength is matched". Neuropsychologia. 50 (13): 3080–3093. doi:10.1016/j.neuropsychologia.2012.08.001. PMID 22902538. S2CID 8517388.
  33. ^ In German: Moderne Videozentriersysteme und Pupilometer im Vergleich, Teil 1, PD Dr. Wolfgang Wesemann, DOZ 6-2009 Archived 2015-09-24 at the Wayback Machine
  34. ^ Digital C.R.P., Essilor Instruments, Retrieved 21 February 2023.
  35. ^ The Pupil Meter
  36. ^ "The Pupil Meter". Archived from the original on 2015-02-01. Retrieved 2013-06-10.
  37. ^ PD , on the App Store, Retrieved February 21, 2023.
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