OBJECTIVES: Investigators have suggested using pupillometry to assess alertness in hypersomnolent patients. In this study we assessed hypersomnolent patients and normal volunteers by using pupillometry and examined the usefulness of this technique for the diagnosis of pathologic sleepiness in individual patients. METHODS: Forty-nine patients were examined by pupillometry and their sleepiness was assessed by using the multiple sleep latency test (MSLT). Thirty-three normal well-rested volunteers were also examined by pupillometry. The patients were classified as having 'mild', 'moderate', or 'severe' sleepiness, based on their mean MSLT sleep latency. Several dynamic variables of pupil diameter were calculated from the pupillograms and correlated with the mean MSLT sleep latency, and were compared between severity groups of patients and the well-rested normal subjects. RESULTS: All but two pupillometric variables were significantly correlated with sleep latency. All except the same two pupillometric variables of the sleepiest group were significantly different from those of normal subjects. However, only 51% of patients with mean sleep latencies less than 10 min and 35% of patients with mean sleep latencies of less than 5 min could be correctly identified by pupillometry. CONCLUSIONS: Pupillometry is clearly associated with differences in alertness between groups of patients. However, pupillometric assessment cannot substitute for the MSLT in most cases.
OBJECTIVES: Investigators have suggested using pupillometry to assess alertness in hypersomnolentpatients. In this study we assessed hypersomnolentpatients and normal volunteers by using pupillometry and examined the usefulness of this technique for the diagnosis of pathologic sleepiness in individual patients. METHODS: Forty-nine patients were examined by pupillometry and their sleepiness was assessed by using the multiple sleep latency test (MSLT). Thirty-three normal well-rested volunteers were also examined by pupillometry. The patients were classified as having 'mild', 'moderate', or 'severe' sleepiness, based on their mean MSLT sleep latency. Several dynamic variables of pupil diameter were calculated from the pupillograms and correlated with the mean MSLT sleep latency, and were compared between severity groups of patients and the well-rested normal subjects. RESULTS: All but two pupillometric variables were significantly correlated with sleep latency. All except the same two pupillometric variables of the sleepiest group were significantly different from those of normal subjects. However, only 51% of patients with mean sleep latencies less than 10 min and 35% of patients with mean sleep latencies of less than 5 min could be correctly identified by pupillometry. CONCLUSIONS: Pupillometry is clearly associated with differences in alertness between groups of patients. However, pupillometric assessment cannot substitute for the MSLT in most cases.
Authors: Andreas Müller; Raluca Petru; Lucia Seitz; Ines Englmann; Peter Angerer Journal: Int Arch Occup Environ Health Date: 2010-10-21 Impact factor: 3.015
Authors: Olaf Stüve; Bernd C Kieseier; Bernhard Hemmer; Hans-Peter Hartung; Amer Awad; Elliot M Frohman; Benjamin M Greenberg; Michael K Racke; Scott S Zamvil; J Theodore Phillips; Ralf Gold; Andrew Chan; Uwe Zettl; Ron Milo; Ellen Marder; Omar Khan; Todd N Eagar Journal: Arch Neurol Date: 2010-07-12
Authors: Kostas N Fountas; Eftychia Z Kapsalaki; Theofilos G Machinis; Angel N Boev; Joe S Robinson; E Christopher Troup Journal: Neurocrit Care Date: 2006 Impact factor: 3.210
Authors: Rehana Z Hussain; Steven C Hopkins; Elliot M Frohman; Todd N Eagar; Petra C Cravens; Benjamin M Greenberg; Steven Vernino; Olaf Stüve Journal: Auton Neurosci Date: 2009-08-15 Impact factor: 3.145