J Neurocrit Care.  2021 Jun;14(1):29-35. 10.18700/jnc.210001.

Contribution of pupillary light reflex assessment to Glasgow Coma Scale for prognostication in patients with traumatic brain injury

Affiliations
  • 1Department of Biostatistics and Data Science, University of Texas Health Science Center in Houston School of Public Health, Houston, TX, USA
  • 2Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
  • 3Department of Emergency and Critical Care Medicine, Nippon Medical School, Tokyo, Japan

Abstract

Background
Glasgow Coma Scale (GCS) and the pupillary light reflex (PLR) are important prognostic tools for traumatic brain injury (TBI). This study compared the predictability of GCS, GCS plus manual PLR (GCS-P), GCS plus Neurological Pupil index (GCS-NPi), and average NPi (avgNPi) in predicting discharge outcome in patients diagnosed with TBI.
Methods
Data were obtained from a multicenter prospective registry that included 175 subjects with TBI. A Non-linear mixed model (NLMIXED) approach was used to determine which of the following independent variables (GCS, GCS-P, GCS-NPi, and avgNPi) is a better predictor of modified Rankin Scale (mRS) at discharge by fitting four predictive models for comparison.
Results
The NLMIXED model for longitudinal data determined that GCS, GCS-P, GCS-NPi, and avgNPi were all significant predictors of mRS at discharge (P<0.0001). Age was a significant predictor of the discharge mRS (P<0.001). There was a strong significant correlation between the four predicting variables (P<0.05). The maximum likelihood estimation (MLE) of GCS was –0.17 (P<0.0001), MLE of GCS-P was –0.17(P<0.0001), MLE of GCS-NPi was –0.17 (P<0.0001), and the MLE of avgNPi was –0.39 (P<0.0001).
Conclusion
Our findings suggest that any of the four variables (GCS, GCS-P, GCS-NPi, and avgNPi) could be used as a potential predictor of discharge mRS in a patient with TBI. This warrants future investigations to explore the combination of pupillary reactivity scores and NPi with GCS for prognostication in patients with TBI.

Keyword

Pupillary light reflex; Glasgow comma scale; Neurological pupil index; Glasgow coma scale and manual pupillary response score; Modified Rankin scale; Traumatic brain injury

Reference

1. Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet. 1974; 2:81–4.
2. 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. 2007; 24:270–80.
Article
3. MRC CRASH Trial Collaborators, Perel P, Arango M, Clayton T, Edwards P, Komolafe E, et al. Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ. 2008; 336:425–9.
Article
4. Teasdale G, Maas A, Lecky F, Manley G, Stocchetti N, Murray G. The Glasgow Coma Scale at 40 years: standing the test of time. Lancet Neurol. 2014; 13:844–54.
Article
5. Provencio JJ, Hemphill JC, Claassen J, Edlow BL, Helbok R, Vespa PM, et al. The curing coma campaign: framing initial scientific challenges-proceedings of the first curing coma campaign scientific advisory council meeting. Neurocrit Care. 2020; 33:1–12.
Article
6. Marshall M, Deo R, Childs C, Ali A. Feasibility and variability of automated pupillometry among stroke patients and healthy participants: potential implications for clinical practice. J Neurosci Nurs. 2019; 51:84–8.
Article
7. Lussier BL, Stutzman SE, Atem F, Venkatachalam AM, Perera AC, Barnes A, et al. Distributions and reference ranges for automated pupillometer values in neurocritical care patients. J Neurosci Nurs. 2019; 51:335–40.
Article
8. Lee MH, Mitra B, Pui JK, Fitzgerald M. The use and uptake of pupillometers in the intensive care unit. Aust Crit Care. 2018; 31:199–203.
Article
9. Capizzi A, Woo J, Verduzco-Gutierrez M. Traumatic brain injury: an overview of epidemiology, pathophysiology, and medical management. Med Clin North Am. 2020; 104:213–38.
10. Thompson HJ, Rivara FP, Wang J. Effect of age on longitudinal changes in symptoms, function, and outcome in the first year after mild-moderate traumatic brain injury. J Neurosci Nurs. 2020; 52:46–52.
Article
11. Ortega-Pérez S, Amaya-Rey MC. Secondary brain injury: a concept analysis. J Neurosci Nurs. 2018; 50:220–4.
Article
12. Olson DM, Ortega-Pérez S. The cue-response theory and nursing care of the patient with acquired brain injury. J Neurosci Nurs. 2019; 51:43–7.
Article
13. Hansen B, Quick J, Sinkovits E, Smith JC. Glasgow coma scale: how to improve and enhance documentation. J Trauma Nurs. 2014; 21:122–4.
14. Oddo M, Sandroni C, Citerio G, Miroz JP, Horn J, Rundgren M, et al. Quantitative versus standard pupillary light reflex for early prognostication in comatose cardiac arrest patients: an international prospective multicenter double-blinded study. Intensive Care Med. 2018; 44:2102–11.
Article
15. Ortega-Perez S, Shoyombo I, Aiyagari V, Atem F, Hill M, Stutzman SE, et al. Pupillary light reflex variability as a predictor of clinical outcomes in subarachnoid hemorrhage. J Neurosci Nurs. 2019; 51:171–5.
Article
16. Braakman R, Gelpke GJ, Habbema JD, Maas AI, Minderhoud JM. Systematic selection of prognostic features in patients with severe head injury. Neurosurgery. 1980; 6:362–70.
Article
17. Brennan PM, Murray GD, Teasdale GM. Simplifying the use of prognostic information in traumatic brain injury. Part 1: The GCS-Pupils score: an extended index of clinical severity. J Neurosurg. 2018; 128:1612–20.
Article
18. Shoyombo I, Aiyagari V, Stutzman SE, Atem F, Hill M, Figueroa SA, et al. Understanding the relationship between the neurologic pupil index and constriction velocity values. Sci Rep. 2018; 8:6992.
Article
19. Olson DM, Stutzman S, Saju C, Wilson M, Zhao W, Aiyagari V. Interrater reliability of pupillary assessments. Neurocrit Care. 2016; 24:251–7.
Article
20. Olson DM, Fishel M. The use of automated pupillometry in critical care. Crit Care Nurs Clin North Am. 2016; 28:101–7.
Article
21. Lussier BL, Olson DM, Aiyagari V. Automated pupillometry in neurocritical care: research and practice. Curr Neurol Neurosci Rep. 2019; 19:71.
Article
22. Zhao W, Stutzman S, DaiWai O, Saju C, Wilson M, Aiyagari V. Inter-device reliability of the NPi-100 pupillometer. J Clin Neurosci. 2016; 33:79–82.
Article
23. Quinn TJ, Dawson J, Walters MR, Lees KR. Functional outcome measures in contemporary stroke trials. Int J Stroke. 2009; 4:200–5.
Article
24. Nunn A, Bath PM, Gray LJ. Analysis of the modified rankin scale in randomised controlled trials of acute ischaemic stroke: a systematic review. Stroke Res Treat. 2016; 2016:9482876.
Article
25. Steyerberg EW, Mushkudiani N, Perel P, Butcher I, Lu J, McHugh GS, et al. Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med. 2008; 5:e165.
Article
26. Olson DM, Stutzman SE, Atem F, Kincaide JD, Ho TT, Carlisle BA, et al. Establishing normative data for pupillometer assessment in neuroscience intensive care: the "END-PANIC" registry. J Neurosci Nurs. 2017; 49:251–4.
Article
27. Hedeker D. Multilevel models for ordinal and nominal variables (Chapter 6). In : de Leeuw J, Meijer E, editors. Handbook of multilevel analysis. New York, NY: Springer;2008. p. 237–74.
28. Hedeker D. Generalized linear mixed models. In : Everitt B, Howell DC, editors. Encyclopedia of statistics in behavioral science. Hoboken, NJ: Wiley & Sons;2005.
29. Raman R, Hedeker D. A mixed-effects regression model for three-level ordinal response data. Stat Med. 2005; 24:3331–45.
Article
30. Ting HW, Chen MS, Hsieh YC, Chan CL. Good mortality prediction by Glasgow Coma Scale for neurosurgical patients. J Chin Med Assoc. 2010; 73:139–43.
Article
31. Fischer M, Rüegg S, Czaplinski A, Strohmeier M, Lehmann A, Tschan F, et al. Inter-rater reliability of the Full Outline of UnResponsiveness score and the Glasgow Coma Scale in critically ill patients: a prospective observational study. Crit Care. 2010; 14:R64.
Article
32. Ariaka H, Kiryabwire J, Hussein S, Ogwal A, Nkonge E, Oyania F. A comparison of the predictive value of the Glasgow Coma Scale and the Kampala trauma score for mortality and length of hospital stay in head injury patients at a tertiary hospital in Uganda: a diagnostic prospective study. Surg Res Pract. 2020; 2020:1362741.
Article
33. Enriquez CM, Chisholm KH, Madden LK, Larsen AD, de Longpré T, Stannard D. Glasgow Coma Scale: generating clinical standards. J Neurosci Nurs. 2019; 51:142–6.
Article
34. Oddo M, Crippa IA, Mehta S, Menon D, Payen JF, Taccone FS, et al. Optimizing sedation in patients with acute brain injury. Crit Care. 2016; 20:128.
Article
35. Greer DM, Shemie SD, Lewis A, Torrance S, Varelas P, Goldenberg FD, et al. Determination of brain death/death by neurologic criteria: the world brain death project. JAMA. 2020; 324:1078–97.
36. El Ahmadieh TY, Bedros N, Stutzman SE, Nyancho D, Venkatachalam AM, MacAllister M, et al. Automated pupillometry as a triage and assessment tool in patients with traumatic brain injury. World Neurosurg. 2021; 145:e163–9.
Article
Full Text Links
  • JNC
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr