Advertisement
Original Article| Volume 36, ISSUE 1, P118-124, January 2022

Preliminary Study of Serum Biomarkers Associated With Delirium After Major Cardiac Surgery

      Objectives

      The objective of this study was to identify novel serum biomarkers specific to postoperative delirium after major cardiac surgery to provide insight into the pathologic processes involved in delirium and its sequelae.

      Design

      Nested, case-control study.

      Setting

      Cardiac surgical intensive care unit in a single-site hospital setting.

      Participants

      The study comprised 24 older adults (aged >60 years) undergoing major cardiac surgery with cardiopulmonary bypass.

      Interventions

      None.

      Measurements and Main Results

      The primary outcome was a positive screen for delirium from postoperative days one through three based on criteria included in the long form of the Confusion Assessment Method. A multiplexed proteomic approach was applied using proximity extension assays to identify and quantify proteins found in serum collected on the day of surgery and postoperative day one in delirious and nondelirious patient cohorts. An increase in serum fibroblast growth factor (FGF)-21 levels was identified in the delirious cohort from a presurgery baseline of (mean ± standard deviation) 5.0 ± 1.1 log2 abundance (95% confidence interval [CI], 4.3-5.7) to 6.7 ± 1.6 log2 abundance (95% CI, 5.7-7.7; p = 0.01) postsurgery. A similar increase was identified in FGF-23 from a presurgery baseline of 1.7 ± 1.3 log2 abundance (95% CI, 0.8-2.5) to 3.4 ± 2.2 log2 abundance (95% CI, 2.0-4.8; p = 0.06) postsurgery. An increase in interleukin-6 serum levels also was identified in the delirious cohort from a presurgery baseline of 3.8 ± 1.1 log2 abundance (95% CI, 3.1-4.5) to 8.7 ± 1.9 log2 abundance (95% CI, 7.5-9.9; p < 0.0001) postsurgery. However, the increase in interleukin-6 serum levels of the nondelirious cohort also met the study's threshold for statistical significance (p < 0.0001). Finally, an increase in monocyte chemotactic protein-3 serum levels was identified in the delirious cohort from a presurgery baseline of 4.1 ± 0.9 log2 abundance (95% CI, 3.6-4.7) to 6.1 ± 2.0 log2 abundance (95% CI, 4.8-7; p = 0.009) postsurgery.

      Conclusions

      FGF-21, FGF-23, interleukin-6, and monocyte chemotactic protein-3 serum levels were increased postoperatively in patients who developed delirium after major cardiac surgery. This study identified two members of the FGF family as potential putative systemic biomarkers for postoperative delirium after cardiac surgery, suggesting a possible role for metabolic recovery in the pathophysiologic mechanisms underlying neurocognitive dysfunction.

      Key Words

      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Journal of Cardiothoracic and Vascular Anesthesia
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • American Psychiatric Association
        DSM-5 Task Force: Diagnostic and statistical manual of mental disorders: DSM-5.
        ed 5. American Psychiatric Association, Washington, DC2013
        • Gou R.Y.
        • Hshieh T.T.
        • Marcantonio E.R.
        • et al.
        One-year Medicare costs associated with delirium in older patients undergoing major elective surgery.
        JAMA Surg. 2021; 156: 430-442
      1. Administration for Community Living. 2018 profile of older Americans. Washington, DC: US Department of Health and Human Services; 2017. p 13.

        • Inouye S.K.
        Delirium in older persons.
        N Engl J Med. 2006; 354: 1157-1165
        • Maldonado J.R.
        Delirium pathophysiology: An updated hypothesis of the etiology of acute brain failure.
        Int J Geriatr Psychiatry. 2018; 33: 1428-1457
        • Takeuchi A.
        • Ahern T.L.
        • Henderson S.O.
        Excited delirium.
        West J Emerg Med. 2011; 12: 77-83
        • O'Keeffe S.
        • Lavan J.
        The prognostic significance of delirium in older hospital patients.
        J Am Geriatr Soc. 1997; 45: 174-178
        • Francis J.
        • Martin D.
        • Kapoor W.N.
        A prospective study of delirium in hospitalized elderly.
        JAMA. 1990; 263: 1097-1101
        • Vasunilashorn S.M.
        • Ngo L.H.
        • Chan N.Y.
        • et al.
        Development of a dynamic multi-protein signature of postoperative delirium.
        J Gerontol A Biol Sci Med Sci. 2019; 74: 261-268
        • McNeil J.B.
        • Hughes C.G.
        • Girard T.
        • et al.
        Plasma biomarkers of inflammation, coagulation, and brain injury as predictors of delirium duration in older hospitalized patients.
        PLoS One. 2019; 14e0226412
        • Nation D.A.
        • Sweeney M.D.
        • Montagne A.
        • et al.
        Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction.
        Nat Med. 2019; 25: 270-276
        • Haruwaka K.
        • Ikegami A.
        • Tachibana Y.
        • et al.
        Dual microglia effects on blood brain barrier permeability induced by systemic inflammation.
        Nat Commun. 2019; 10: 5816
        • Shelton K.T.
        • Qu J.
        • Bilotta F.
        • et al.
        Minimizing ICU Neurological Dysfunction with Dexmedetomidine-induced Sleep (MINDDS): Protocol for a randomised, double-blind, parallel-arm, placebo-controlled trial.
        BMJ Open. 2018; 8e020316
        • Cella D.
        • Riley W.
        • Stone A.
        • et al.
        The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.
        J Clin Epidemiol. 2010; 63: 1179-1194
        • Hays R.D.
        • Bjorner J.B.
        • Revicki D.A.
        • et al.
        Development of physical and mental health summary scores from the patient-reported outcomes measurement information system (PROMIS) global items.
        Qual Life Res. 2009; 18: 873-880
        • Rose M.
        • Bjorner J.B.
        • Becker J.
        • et al.
        Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS).
        J Clin Epidemiol. 2008; 61: 17-33
        • Buysse D.J.
        • Yu L.
        • Moul D.E.
        • et al.
        Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments.
        Sleep. 2010; 33: 781-792
        • Amtmann D.
        • Cook K.F.
        • Jensen M.P.
        • et al.
        Development of a PROMIS item bank to measure pain interference.
        Pain. 2010; 150: 173-182
        • Assarsson E.
        • Lundberg M.
        • Holmquist G.
        • et al.
        Homogenous 96-plex PEA immunoassay exhibiting high sensitivity, specificity, and excellent scalability.
        PLoS One. 2014; 9: e95192
        • Lundberg M.
        • Eriksson A.
        • Tran B.
        • et al.
        Homogeneous antibody-based proximity extension assays provide sensitive and specific detection of low-abundant proteins in human blood.
        Nucleic Acids Res. 2011; 39: e102
        • Vasunilashorn S.M.
        • Dillon S.T.
        • Inouye S.K.
        • et al.
        High C-reactive protein predicts delirium incidence, duration, and feature severity after major noncardiac surgery.
        J Am Geriatr Soc. 2017; 65: e109-e116
        • Hill C.M.
        • Laeger T.
        • Dehner M.
        • et al.
        FGF21 signals protein status to the brain and adaptively regulates food choice and metabolism.
        Cell Rep. 2019; 27 (e2933): 2934-2947
        • Bookout A.L.
        • de Groot M.H.
        • Owen B.M.
        • et al.
        FGF21 regulates metabolism and circadian behavior by acting on the nervous system.
        Nat Med. 2013; 19: 1147-1152
        • Kharitonenkov A.
        • Shiyanova T.L.
        • Koester A.
        • et al.
        FGF-21 as a novel metabolic regulator.
        J Clin Invest. 2005; 115: 1627-1635
        • Geng L.
        • Lam K.S.L.
        • Xu A.
        The therapeutic potential of FGF21 in metabolic diseases: From bench to clinic.
        Nat Rev Endocrinol. 2020; 16: 654-667
        • Schlein C.
        • Talukdar S.
        • Heine M.
        • et al.
        FGF21 lowers plasma triglycerides by accelerating lipoprotein catabolism in white and brown adipose tissues.
        Cell Metab. 2016; 23: 441-453
        • Gaich G.
        • Chien J.Y.
        • Fu H.
        • et al.
        The effects of LY2405319, an FGF21 analog, in obese human subjects with type 2 diabetes.
        Cell Metab. 2013; 18: 333-340
        • Sa-Nguanmoo P.
        • Tanajak P.
        • Kerdphoo S.
        • et al.
        FGF21 and DPP-4 inhibitor equally prevents cognitive decline in obese rats.
        Biomed Pharmacother. 2018; 97: 1663-1672
        • Sa-Nguanmoo P.
        • Tanajak P.
        • Kerdphoo S.
        • et al.
        FGF21 improves cognition by restored synaptic plasticity, dendritic spine density, brain mitochondrial function and cell apoptosis in obese-insulin resistant male rats.
        Horm Behav. 2016; 85: 86-95
        • Suomalainen A.
        • Elo J.M.
        • Pietiläinen K.H.
        • et al.
        FGF-21 as a biomarker for muscle-manifesting mitochondrial respiratory chain deficiencies: A diagnostic study.
        Lancet Neurol. 2011; 10: 806-818
        • Brealey D.
        • Brand M.
        • Hargreaves I.
        • et al.
        Association between mitochondrial dysfunction and severity and outcome of septic shock.
        Lancet. 2002; 360: 219-223
        • López-Otín C.
        • Blasco M.A.
        • Partridge L.
        • et al.
        The hallmarks of aging.
        Cell. 2013; 153: 1194-1217
        • Kharitonenkov A.
        • Dunbar J.D.
        • Bina H.A.
        • et al.
        FGF-21/FGF-21 receptor interaction and activation is determined by βKlotho.
        J Cell Physiol. 2008; 215: 1-7
        • Kurosu H.
        • Ogawa Y.
        • Miyoshi M.
        • et al.
        Regulation of fibroblast growth factor-23 signaling by klotho.
        J Biol Chem. 2006; 281: 6120-6123
        • Shimada T.
        • Hasegawa H.
        • Yamazaki Y.
        • et al.
        FGF-23 is a potent regulator of vitamin D metabolism and phosphate homeostasis.
        J Bone Min Res. 2004; 19: 429-435
        • McGrath E.R.
        • Himali J.J.
        • Levy D.
        • et al.
        Circulating fibroblast growth factor 23 levels and incident dementia: The Framingham heart study.
        PLoS One. 2019; 14e0213321
        • Drew D.A.
        • Tighiouart H.
        • Scott T.M.
        • et al.
        FGF-23 and cognitive performance in hemodialysis patients.
        Hemodial Int. 2014; 18: 78-86
        • Drew D.A.
        • Katz R.
        • Kritchevsky S.
        • et al.
        Fibroblast growth factor 23 and cognitive impairment: The health, aging, and body composition study.
        PLoS One. 2020; 15e0243872
        • Cheng X.
        • Zhu B.
        • Jiang F.
        • et al.
        Serum FGF-21 levels in type 2 diabetic patients.
        Endocr Res. 2011; 36: 142-148
        • Chen C.
        • Cheung B.M.Y.
        • Tso A.W.K.
        • et al.
        High plasma level of fibroblast growth factor 21 Is an independent predictor of type 2 diabetes.
        Diabetes Care. 2011; 34: 2113-2115
        • Hirai K.
        • Aliev G.
        • Nunomura A.
        • et al.
        Mitochondrial abnormalities in Alzheimer's disease.
        J Neurosci. 2001; 21: 3017-3023
        • Mecocci P.
        • MacGarvey U.
        • Beal M.F.
        Oxidative damage to mitochondrial DNA is increased in Alzheimer's disease.
        Ann Neurol. 1994; 36: 747-751