Perioperative cerebrospinal fluid and plasma inflammatory markers after orthopedic surgery

Abstract Background Postoperative delirium is prevalent in older patients and associated with worse outcomes. Recent data in animal studies demonstrate increases in inflammatory markers in plasma and cerebrospinal fluid (CSF) even after aseptic surgery, suggesting that inflammation of the central nervous system may be part of the pathogenesis of postoperative cognitive changes. We investigated the hypothesis that neuroinflammation was an important cause for postoperative delirium and cognitive dysfunction after major non-cardiac surgery. Methods After Institutional Review Board approval and informed consent, we recruited patients undergoing major knee surgery who received spinal anesthesia and femoral nerve block with intravenous sedation. All patients had an indwelling spinal catheter placed at the time of spinal anesthesia that was left in place for up to 24 h. Plasma and CSF samples were collected preoperatively and at 3, 6, and 18 h postoperatively. Cytokine levels were measured using ELISA and Luminex. Postoperative delirium was determined using the confusion assessment method, and cognitive dysfunction was measured using validated cognitive tests (word list, verbal fluency test, digit symbol test). Results Ten patients with complete datasets were included. One patient developed postoperative delirium, and six patients developed postoperative cognitive dysfunction. Postoperatively, at different time points, statistically significant changes compared to baseline were present in IL-5, IL-6, I-8, IL-10, monocyte chemotactic protein (MCP)-1, macrophage inflammatory protein (MIP)-1α, IL-6/IL-10, and receptor for advanced glycation end products in plasma and in IFN-γ, IL-6, IL-8, IL-10, MCP-1, MIP-1α, MIP-1β, IL-8/IL-10, and TNF-α in CSF. Conclusions Substantial pro- and anti-inflammatory activity in the central neural system after surgery was found. If confirmed by larger studies, persistent changes in cytokine levels may serve as biomarkers for novel clinical trials.

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PID https://www.doi.org/10.6084/m9.figshare.c.3622286
PID https://www.doi.org/10.6084/m9.figshare.c.3622286.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.3622286
URL http://dx.doi.org/10.6084/m9.figshare.c.3622286.v1
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Author Hirsch, Jan
Author Vacas, Susana
Author Niccolo Terrando
Author Yuan, Miao
Author Sands, Laura
Author Kramer, Joel
Author Bozic, Kevin
Author Maze, Mervyn
Author Leung, Jacqueline
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Collected From Datacite
Hosted By figshare
Publication Date 2016-01-01
Publisher Figshare
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Language UNKNOWN
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keyword FOS: Biological sciences
keyword FOS: Clinical medicine
keyword FOS: Health sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::e552d8184e2a7f9eb3f7c67939c06934
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Last Updated 20 December 2020, 03:46 (CET)
Created 20 December 2020, 03:46 (CET)