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Forschungsdatenbank PMU-SQQUID

Actigraphy in brain-injured patients - A valid measurement for assessing circadian rhythms?
Angerer, M; Schabus, M; Raml, M; Pichler, G; Kunz, AB; Scarpatetti, M; Trinka, E; Blume, C
BMC MED. 2020; 18(1): 106
Originalarbeiten (Zeitschrift)


Kunz Alexander
Trinka Eugen


Background Actigraphy has received increasing attention in classifying rest-activity cycles. However, in patients with disorders of consciousness (DOC), actigraphy data may be considerably confounded by passive movements, such as nursing activities and therapies. Consequently, this study verified whether circadian rhythmicity is (still) visible in actigraphy data from patients with DOC after correcting for passive movements. Methods Wrist actigraphy was recorded over 7-8 consecutive days in patients with DOC (diagnosed with unresponsive wakefulness syndrome [UWS; n = 19] and [exit] minimally conscious state [MCS/EMCS; n = 11]). The presence and actions of clinical and research staff as well as visitors were indicated using a tablet in the patientxxxs room. Following removal and interpolation of passive movements, non-parametric rank-based tests were computed to identify differences between circadian parameters of uncorrected and corrected actigraphy data. Results Uncorrected actigraphy data overestimated the interdaily stability and intradaily variability of patientsxxx activity and underestimated the deviation from a circadian 24-h rhythm. Only 5/30 (17%) patients deviated more than 1 h from 24 h in the uncorrected data, whereas this was the case for 17/30 (57%) patients in the corrected data. When contrasting diagnoses based on the corrected dataset, stronger circadian rhythms and higher activity levels were observed in MCS/EMCS as compared to UWS patients. Day-to-night differences in activity were evident for both patient groups. Conclusion Our findings indicate that uncorrected actigraphy data overestimates the circadian rhythmicity of patientsxxx activity, as nursing activities, therapies, and visits by relatives follow a circadian pattern itself. Therefore, we suggest correcting actigraphy data from patients with reduced mobility.

Find related publications in this database (Keywords)

circadian rhythms
brain injury
disorders of consciousness
neuropsychological assessment