DOI QR코드

DOI QR Code

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

  • Park, Jeong Goo (Department of Neurosurgery, Konkuk University Medical Center) ;
  • Moon, Chang Taek (Department of Neurosurgery, Konkuk University Medical Center) ;
  • Park, Dong Sun (Department of Neurosurgery, Konkuk University Medical Center) ;
  • Song, Sang Woo (Department of Neurosurgery, Konkuk University Medical Center)
  • 투고 : 2015.07.07
  • 심사 : 2015.10.14
  • 발행 : 2015.10.28

초록

Objective : The purpose of this study was to evaluate the clinical utility and validity of using a pupillometer to assess patients with acute brain lesions. Methods : Pupillary examinations using an automated pupillometer ($NeurOptics^{(R)}NPi^{TM}$-100 Pupillometer) were performed every 4 hours and were simultaneously assessed using the Glasgow Coma Scale (GCS) and for intracranial pressure (ICP), from admission to discharge or expire in neuro-intensive care unit (NICU). Manual pupillary examinations were also recorded for comparison. By comparing these data, we evaluated the validity of using automated pupillometers to predict clinical outcomes. Results : The mean values of the Neurologic Pupillary index (NPi) were different in the groups examined manually. The GCS correlated well with NPi values, especially in severe brain injury patients (GCS below 9). However, the NPi values were weakly correlated with intracranial pressure (ICP) when the ICP was lower than 30 cm $H_2O$. The NPi value was not affected by age or intensity of illumination. In patients with a "poor" prognosis who had a Glasgow Outcome Scale (GOS) of 1 or 2, the mean initial NPi score was $0.88{\pm}1.68$, whereas the value was $3.89{\pm}0.97$ in patients with a "favorable" prognosis who had a GOS greater than 2 (p<0.001). For predicting clinical outcomes, the initial NPi value of 3.4 had the highest sensitivity and specificity. Conclusion : An automated pupillometer can serve as a simple and useful tool for the accurate measurement of pupillary reactivity in patients with acute brain lesions.

키워드

참고문헌

  1. Behrends M, Niemann CU, Larson MD : Infrared pupillometry to detect the light reflex during cardiopulmonary resuscitation : a case series. Resuscitation 83 : 1223-1228, 2012 https://doi.org/10.1016/j.resuscitation.2012.05.013
  2. Chang DS, Arora KS, Boland MV, Supakontanasan W, Friedman DS : Development and validation of an associative model for the detection of glaucoma using pupillography. Am J Ophthalmol 156 : 1285-1296.e2, 2013 https://doi.org/10.1016/j.ajo.2013.07.026
  3. Chen JW, Gombart ZJ, Rogers S, Gardiner SK, Cecil S, Bullock RM : Pupillary reactivity as an early indicator of increased intracranial pressure : the introduction of the Neurological Pupil index. Surg Neurol Int 2 : 82, 2011 https://doi.org/10.4103/2152-7806.82248
  4. Chen JW, Vakil-Gilani K, Williamson KL, Cecil S : Infrared pupillometry, the Neurological Pupil index and unilateral pupillary dilation after traumatic brain injury : implications for treatment paradigms. Springerplus 3 : 548, 2014 https://doi.org/10.1186/2193-1801-3-548
  5. Cohen LM, Rosenberg MA, Tanna AP, Volpe NJ : A novel computerized portable pupillometer detects and quantifies relative afferent pupillary defects. Curr Eye Res 40 : 1120-1127, 2015 https://doi.org/10.3109/02713683.2014.980007
  6. Connelly MA, Brown JT, Kearns GL, Anderson RA, St Peter SD, Neville KA : Pupillometry : a non-invasive technique for pain assessment in paediatric patients. Arch Dis Child 99 : 1125-1131, 2014 https://doi.org/10.1136/archdischild-2014-306286
  7. Fletcher GC, Asbury AJ, Brown JH : Pupil changes during cardiopulmonary bypass. Br J Anaesth 76 : 20-22, 1996 https://doi.org/10.1093/bja/76.1.20
  8. Hults KN, Knowlton SL, Oliver JW, Wolfson T, Gamst A : A study of pupillary assessment in outpatient neurosurgical clinics. J Neurosci Nurs 38 : 447-452, 2006 https://doi.org/10.1097/01376517-200612000-00010
  9. Kim J, Heo J, Ji D, Kim MS : Quantitative assessment of pupillary light reflex in normal and anesthetized dogs : a preliminary study. J Vet Med Sci 77 : 475-478, 2015 https://doi.org/10.1292/jvms.14-0387
  10. Kramer CL, Rabinstein AA, Wijdicks EF, Hocker SE : Neurologist versus machine : is the pupillometer better than the naked eye in detecting pupillary reactivity. Neurocrit Care 21 : 309-311, 2014 https://doi.org/10.1007/s12028-014-9988-5
  11. Larson MD, Muhiudeen I : Pupillometric analysis of the 'absent light reflex'. Arch Neurol 52 : 369-372, 1995 https://doi.org/10.1001/archneur.1995.00540280051018
  12. Marmarou A, Lu J, Butcher I, McHugh GS, Murray GD, Steyerberg EW, et al. : Prognostic value of the Glasgow Coma Scale and pupil reactivity in traumatic brain injury assessed pre-hospital and on enrollment : an IMPACT analysis. J Neurotrauma 24 : 270-280, 2007 https://doi.org/10.1089/neu.2006.0029
  13. Meeker M, Du R, Bacchetti P, Privitera CM, Larson MD, Holland MC, et al. : Pupil examination : validity and clinical utility of an automated pupillometer. J Neurosci Nurs 37 : 34-40, 2005 https://doi.org/10.1097/01376517-200502000-00006
  14. Narayan RK, Greenberg RP, Miller JD, Enas GG, Choi SC, Kishore PR, et al. : Improved confidence of outcome prediction in severe head injury. A comparative analysis of the clinical examination, multimodality evoked potentials, CT scanning, and intracranial pressure. J Neurosurg 54 : 751-762, 1981 https://doi.org/10.3171/jns.1981.54.6.0751
  15. Shindler KS, Revere K, Dutt M, Ying GS, Chung DC : In vivo detection of experimental optic neuritis by pupillometry. Exp Eye Res 100 : 1-6, 2012 https://doi.org/10.1016/j.exer.2012.04.005
  16. Taylor WR, Chen JW, Meltzer H, Gennarelli TA, Kelbch C, Knowlton S, et al. : Quantitative pupillometry, a new technology : normative data and preliminary observations in patients with acute head injury. Technical note. J Neurosurg 98 : 205-213, 2003 https://doi.org/10.3171/jns.2003.98.1.0205
  17. Theodossiadis PG, Achtsidis V, Theodoropoulou S, Tentolouris N, Komninos C, Fountas KN : The effect of alpha antagonists on pupil dynamics : implications for the diagnosis of intraoperative floppy iris syndrome. Am J Ophthalmol 153 : 620-626, 2012 https://doi.org/10.1016/j.ajo.2011.09.030
  18. Yan S, Tu Z, Lu W, Zhang Q, He J, Li Z, et al. : Clinical utility of an automated pupillometer for assessing and monitoring recipients of liver transplantation. Liver Transpl 15 : 1718-1727, 2009 https://doi.org/10.1002/lt.21924
  19. Yoon MK, Schmidt G, Lietman T, McLeod SD : Inter-and intraobserver reliability of pupil diameter measurement during 24 hours using the Colvard pupillometer. J Refract Surg 23 : 266-271, 2007

피인용 문헌

  1. Optical pupillometry in traumatic brain injury: neurological pupil index and its relationship with intracranial pressure through significant event analysis vol.33, pp.8, 2019, https://doi.org/10.1080/02699052.2019.1605621
  2. A Systematic Review Assessing the Current State of Automated Pupillometry in the NeuroICU vol.31, pp.1, 2019, https://doi.org/10.1007/s12028-018-0645-2
  3. Automated Pupillometry in Neurocritical Care: Research and Practice vol.19, pp.10, 2019, https://doi.org/10.1007/s11910-019-0994-z
  4. Comparison of 2 Automated Pupillometry Devices in Critically III Patients vol.32, pp.4, 2020, https://doi.org/10.1097/ana.0000000000000604
  5. Early Pupillometry Assessment in Traumatic Brain Injury Patients: A Retrospective Study vol.11, pp.12, 2021, https://doi.org/10.3390/brainsci11121657