Postoperative delirium and changes in the blood–brain barrier, neuroinflammation, and cerebrospinal fluid lactate: a prospective cohort study
Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma alb...
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Published in | British journal of anaesthesia : BJA Vol. 129; no. 2; pp. 219 - 230 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.08.2022
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 0007-0912 1471-6771 1471-6771 |
DOI | 10.1016/j.bja.2022.01.005 |
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Abstract | Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma albumin ratio (CPAR) and plasma S100B were associated with delirium severity.
Participants were recruited to two prospective cohort studies of non-intracranial surgery (NCT01980511, NCT03124303, and NCT02926417). Delirium severity was assessed using the Delirium Rating Scale-98. Delirium incidence was diagnosed with the 3D-Confusion Assessment Method (3D-CAM) or CAM-ICU (CAM for the ICU). CSF samples from 25 patients and plasma from 78 patients were analysed for albumin and S100B. We tested associations between change in CPAR (n=11) and S100B (n=61) and delirium, blood loss, CSF interleukin-6 (IL-6), and CSF lactate.
The perioperative increase in CPAR and S100B correlated with delirium severity (CPAR ρ=0.78, P=0.01; S100B ρ=0.41, P<0.001), delirium incidence (CPAR P=0.012; S100B P<0.001) and CSF IL-6 (CPAR ρ=0.66 P=0.04; S100B ρ=0.75, P=0.025). Linear mixed-effect analysis also showed that decreased levels of S100B predicted recovery from delirium symptoms (P=0.001). Linear regression demonstrated that change in plasma S100B was independently associated with surgical risk, cardiovascular surgery, blood loss, and hypotension. Blood loss also correlated with CPAR (ρ=0.64, P=0.04), S100B (ρ=0.70, P<0.001), CSF lactate (R=0.81, P=0.01), and peak delirium severity (ρ=0.36, P=0.01).
Postoperative delirium is associated with a breakdown in the BBB. This increased permeability is dynamic and associated with a neuroinflammatory and lactate response. Strategies to mitigate blood loss may protect the BBB. |
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AbstractList | Background: Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma albumin ratio (CPAR) and plasma S100B were associated with delirium severity. Methods: Participants were recruited to two prospective cohort studies of non-intracranial surgery (NCT01980511, NCT03124303, and NCT02926417). Delirium severity was assessed using the Delirium Rating Scale-98. Delirium incidence was diagnosed with the 3D-Confusion Assessment Method (3D-CAM) or CAM-ICU (CAM for the ICU). CSF samples from 25 patients and plasma from 78 patients were analysed for albumin and S100B. We tested associations between change in CPAR (n=11) and S100B (n=61) and delirium, blood loss, CSF interleukin-6 (IL-6), and CSF lactate. Results: The perioperative increase in CPAR and S100B correlated with delirium severity (CPAR ρ=0.78, P=0.01; S100B ρ=0.41, P<0.001), delirium incidence (CPAR P=0.012; S100B P<0.001) and CSF IL-6 (CPAR ρ=0.66 P=0.04; S100B ρ=0.75, P=0.025). Linear mixed-effect analysis also showed that decreased levels of S100B predicted recovery from delirium symptoms (P=0.001). Linear regression demonstrated that change in plasma S100B was independently associated with surgical risk, cardiovascular surgery, blood loss, and hypotension. Blood loss also correlated with CPAR (ρ=0.64, P=0.04), S100B (ρ=0.70, P<0.001), CSF lactate (R=0.81, P=0.01), and peak delirium severity (ρ=0.36, P=0.01). Conclusion: Postoperative delirium is associated with a breakdown in the BBB. This increased permeability is dynamic and associated with a neuroinflammatory and lactate response. Strategies to mitigate blood loss may protect the BBB. © 2022 British Journal of Anaesthesia Case-control studies have associated delirium with blood-brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma albumin ratio (CPAR) and plasma S100B were associated with delirium severity.BACKGROUNDCase-control studies have associated delirium with blood-brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma albumin ratio (CPAR) and plasma S100B were associated with delirium severity.Participants were recruited to two prospective cohort studies of non-intracranial surgery (NCT01980511, NCT03124303, and NCT02926417). Delirium severity was assessed using the Delirium Rating Scale-98. Delirium incidence was diagnosed with the 3D-Confusion Assessment Method (3D-CAM) or CAM-ICU (CAM for the ICU). CSF samples from 25 patients and plasma from 78 patients were analysed for albumin and S100B. We tested associations between change in CPAR (n=11) and S100B (n=61) and delirium, blood loss, CSF interleukin-6 (IL-6), and CSF lactate.METHODSParticipants were recruited to two prospective cohort studies of non-intracranial surgery (NCT01980511, NCT03124303, and NCT02926417). Delirium severity was assessed using the Delirium Rating Scale-98. Delirium incidence was diagnosed with the 3D-Confusion Assessment Method (3D-CAM) or CAM-ICU (CAM for the ICU). CSF samples from 25 patients and plasma from 78 patients were analysed for albumin and S100B. We tested associations between change in CPAR (n=11) and S100B (n=61) and delirium, blood loss, CSF interleukin-6 (IL-6), and CSF lactate.The perioperative increase in CPAR and S100B correlated with delirium severity (CPAR ρ=0.78, P=0.01; S100B ρ=0.41, P<0.001), delirium incidence (CPAR P=0.012; S100B P<0.001) and CSF IL-6 (CPAR ρ=0.66 P=0.04; S100B ρ=0.75, P=0.025). Linear mixed-effect analysis also showed that decreased levels of S100B predicted recovery from delirium symptoms (P=0.001). Linear regression demonstrated that change in plasma S100B was independently associated with surgical risk, cardiovascular surgery, blood loss, and hypotension. Blood loss also correlated with CPAR (ρ=0.64, P=0.04), S100B (ρ=0.70, P<0.001), CSF lactate (R=0.81, P=0.01), and peak delirium severity (ρ=0.36, P=0.01).RESULTSThe perioperative increase in CPAR and S100B correlated with delirium severity (CPAR ρ=0.78, P=0.01; S100B ρ=0.41, P<0.001), delirium incidence (CPAR P=0.012; S100B P<0.001) and CSF IL-6 (CPAR ρ=0.66 P=0.04; S100B ρ=0.75, P=0.025). Linear mixed-effect analysis also showed that decreased levels of S100B predicted recovery from delirium symptoms (P=0.001). Linear regression demonstrated that change in plasma S100B was independently associated with surgical risk, cardiovascular surgery, blood loss, and hypotension. Blood loss also correlated with CPAR (ρ=0.64, P=0.04), S100B (ρ=0.70, P<0.001), CSF lactate (R=0.81, P=0.01), and peak delirium severity (ρ=0.36, P=0.01).Postoperative delirium is associated with a breakdown in the BBB. This increased permeability is dynamic and associated with a neuroinflammatory and lactate response. Strategies to mitigate blood loss may protect the BBB.CONCLUSIONPostoperative delirium is associated with a breakdown in the BBB. This increased permeability is dynamic and associated with a neuroinflammatory and lactate response. Strategies to mitigate blood loss may protect the BBB. Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is attributable to high pre-existing permeability or to perioperative changes. We tested whether perioperative changes in cerebrospinal fluid/plasma albumin ratio (CPAR) and plasma S100B were associated with delirium severity. Participants were recruited to two prospective cohort studies of non-intracranial surgery (NCT01980511, NCT03124303, and NCT02926417). Delirium severity was assessed using the Delirium Rating Scale-98. Delirium incidence was diagnosed with the 3D-Confusion Assessment Method (3D-CAM) or CAM-ICU (CAM for the ICU). CSF samples from 25 patients and plasma from 78 patients were analysed for albumin and S100B. We tested associations between change in CPAR (n=11) and S100B (n=61) and delirium, blood loss, CSF interleukin-6 (IL-6), and CSF lactate. The perioperative increase in CPAR and S100B correlated with delirium severity (CPAR ρ=0.78, P=0.01; S100B ρ=0.41, P<0.001), delirium incidence (CPAR P=0.012; S100B P<0.001) and CSF IL-6 (CPAR ρ=0.66 P=0.04; S100B ρ=0.75, P=0.025). Linear mixed-effect analysis also showed that decreased levels of S100B predicted recovery from delirium symptoms (P=0.001). Linear regression demonstrated that change in plasma S100B was independently associated with surgical risk, cardiovascular surgery, blood loss, and hypotension. Blood loss also correlated with CPAR (ρ=0.64, P=0.04), S100B (ρ=0.70, P<0.001), CSF lactate (R=0.81, P=0.01), and peak delirium severity (ρ=0.36, P=0.01). Postoperative delirium is associated with a breakdown in the BBB. This increased permeability is dynamic and associated with a neuroinflammatory and lactate response. Strategies to mitigate blood loss may protect the BBB. |
Author | Tanabe, Sean Kunkel, David Pearce, Robert A. Rivera, Cameron Lennertz, Richard C. Parker, Margaret Zetterberg, Henrik Blennow, Kaj Sanders, Robert D. Taylor, Jennifer Casey, Cameron P. |
Author_xml | – sequence: 1 givenname: Jennifer orcidid: 0000-0003-2152-4287 surname: Taylor fullname: Taylor, Jennifer organization: Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia – sequence: 2 givenname: Margaret surname: Parker fullname: Parker, Margaret organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 3 givenname: Cameron P. orcidid: 0000-0001-6790-2170 surname: Casey fullname: Casey, Cameron P. organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 4 givenname: Sean surname: Tanabe fullname: Tanabe, Sean organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 5 givenname: David orcidid: 0000-0003-1812-8312 surname: Kunkel fullname: Kunkel, David organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 6 givenname: Cameron surname: Rivera fullname: Rivera, Cameron organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 7 givenname: Henrik surname: Zetterberg fullname: Zetterberg, Henrik organization: Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden – sequence: 8 givenname: Kaj surname: Blennow fullname: Blennow, Kaj organization: Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden – sequence: 9 givenname: Robert A. surname: Pearce fullname: Pearce, Robert A. organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 10 givenname: Richard C. orcidid: 0000-0003-3273-9056 surname: Lennertz fullname: Lennertz, Richard C. organization: Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA – sequence: 11 givenname: Robert D. surname: Sanders fullname: Sanders, Robert D. email: robert.sanders@sydney.edu.au organization: Central Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/35144802$$D View this record in MEDLINE/PubMed https://gup.ub.gu.se/publication/314855$$DView record from Swedish Publication Index |
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Copyright | 2022 British Journal of Anaesthesia Copyright © 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved. 2022 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved. 2022 British Journal of Anaesthesia |
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Snippet | Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is... Case-control studies have associated delirium with blood-brain barrier (BBB) permeability. However, this approach cannot determine whether delirium is... Background: Case-control studies have associated delirium with blood–brain barrier (BBB) permeability. However, this approach cannot determine whether delirium... |
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SubjectTerms | Biomarkers Blood-Brain Barrier delirium Delirium - diagnosis dementia Humans inflammation Interleukin-6 Lactic Acid Neuroinflammatory Diseases neuronal injury Neuroscience and Neuroanaesthesia Neurosciences Neurovetenskaper older adults Prospective Studies S100 Calcium Binding Protein beta Subunit - cerebrospinal fluid surgery |
Title | Postoperative delirium and changes in the blood–brain barrier, neuroinflammation, and cerebrospinal fluid lactate: a prospective cohort study |
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