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Biomarkers of postoperative delirium and cognitive dysfunction

Authors: Ganna Androsova; Roland Krause; Georg Winterer; Reinhard Schneider;

Biomarkers of postoperative delirium and cognitive dysfunction

Abstract

Elderly surgical patients frequently experience postoperative delirium (POD) and the subsequent development of postoperative cognitive dysfunction (POCD). Clinical features include deterioration in cognition, disturbance in attention and reduced awareness of the environment and result in higher morbidity, mortality and greater utilization of social financial assistance. The aging Western societies can expect an increase in the incidence of POD and POCD. The underlying pathophysiological mechanisms have been studied on the molecular level albeit with unsatisfying small research efforts given their societal burden. Here, we review the known physiological and immunological changes and genetic risk factors, identify candidates for further studies and integrate the information into a draft network for exploration on a systems level. The pathogenesis of these postoperative cognitive impairments is multifactorial; application of integrated systems biology has the potential to reconstruct the underlying network of molecular mechanisms and help in the identification of prognostic and diagnostic biomarkers.

Country
Luxembourg
Keywords

: Neurologie [D14] [Sciences de la santé humaine], : Neurology [D14] [Human health sciences], Systems Biology, postoperative cognitive dysfunction, 570 Life Sciences, systems biology, Neurosciences. Biological psychiatry. Neuropsychiatry, : Multidisciplinary, general & others [F99] [Life sciences], Biomarker, Postoperative Delirium, : Surgery [D26] [Human health sciences], 610 Medical Sciences, Medicine, Postoperative Cognitive Dysfunction, postoperative delirium, : Multidisciplinaire, généralités & autres [F99] [Sciences du vivant], : Chirurgie [D26] [Sciences de la santé humaine], biomarker, POD, Function and Dysfunction of the Nervous System, POCD, RC321-571, Neuroscience

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    211
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
211
Top 1%
Top 10%
Top 1%
Green
gold