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Prospective Pilot Investigation: Presurgical Depressive Symptom Severity and Anesthesia Response in Women Undergoing Surgery for Gynecologic Mass Removal

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Abstract

Background

Anesthesia depth has been associated with mortality. The association between anesthesia depth and presurgery physical and health status, however, is currently debated. Depression is one comorbid condition that warrants investigation given its association to reduced frontal lobe activity and high prevalence in known surgery samples (e.g., gynecologic mass removal).

Purpose

This pilot study examined the hypothesis that severity of acute depressive symptoms would associate with greater sensitivity to anesthesia as measured by a frontal lobe electroencephalogram (EEG)-based monitor during the anesthesia induction phase among women undergoing gynecologic mass removal.

Method

This was a prospective and surgery anesthesia-controlled pilot investigation with 31 women undergoing surgery for removal of pelvic/gynecologic masses. Participants completed the Millon Behavioral Medicine Diagnostic (MBMD) inventory to assess depressive-related symptomatology. A Bispectral Index Score (BIS™) monitor (Aspect Medical Systems Inc., MA) was placed on the left frontal region to measure change in response from a set pre-anesthesia baseline point throughout the induction phase (6.5 min of the anesthetic). BIS™ change was calculated using a modified “area under the curve with respect to ground” formula.

Results

Greater sensitivity to anesthesia during induction was significantly associated with higher MBMD future pessimism scores and marginally associated with higher MBMD depression scores. Depressive personality, anxiety severity, tumor type, age, medication use, and comorbidity scores were not found to be predictors of BIS score change.

Conclusion

These pilot findings suggest that preoperative psychological health and anesthesia response are not independent. Acute presurgery depression and anesthesia response warrant closer empirical examination.

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References

  1. Bruhn J, Myles PS, Sneyd R, Struys MM. Depth of anaesthesia monitoring: what’s available, what’s validated and what’s next? Br J Anaesth. 2006;97(1):85–94.

    Article  CAS  PubMed  Google Scholar 

  2. Monk TG, Saini V, Weldon BC, Sigl JC. Anesthetic management and one-year mortality after noncardiac surgery. Anesth Analg. 2005;100(1):4–10.

    Article  PubMed  Google Scholar 

  3. Lindholm ML, Traff S, Granath F, Greenwald SD, Ekbom A, Lennmarken C, et al. Mortality within 2 years after surgery in relation to low intraoperative bispectral index values and preexisting malignant disease. Anesth Analg. 2009;108(2):508–12.

    Article  PubMed  Google Scholar 

  4. Kertai MD, Pal N, Palanca BJ, Lin N, Searleman SA, Zhang L, et al. Association of perioperative risk factors and cumulative duration of low bispectral index with intermediate-term mortality after cardiac surgery in the B-Unaware Trial. Anesthesiology. 2010;112(5):1116–27.

    Article  PubMed  Google Scholar 

  5. Muravchick S. The aging process: anesthetic implications. Acta Anaesthesiol Belg. 1998;49(2):85–90.

    CAS  PubMed  Google Scholar 

  6. Drevets WC. Neuroimaging and neuropathological studies of depression: implications for the cognitive-emotional features of mood disorders. Curr Opin Neurobiol. 2001;11(2):240–9.

    Article  CAS  PubMed  Google Scholar 

  7. Cornwell BR, Salvadore G, Colon-Rosario V, Latov DR, Holroyd T, Carver FW, et al. Abnormal hippocampal functioning and impaired spatial navigation in depressed individuals: evidence from whole-head magnetoencephalography. Am J Psychiatry. 2010;167(7):836–44.

    Article  PubMed Central  PubMed  Google Scholar 

  8. Baxter Jr LR, Schwartz JM, Phelps ME, Mazziotta JC, Guze BH, Selin CE, et al. Reduction of prefrontal cortex glucose metabolism common to three types of depression. Arch Gen Psychiatry. 1989;46(3):243–50.

    Article  CAS  PubMed  Google Scholar 

  9. Bonne O, Krausz Y, Shapira B, Bocher M, Karger H, Gorfine M, et al. Increased cerebral blood flow in depressed patients responding to electroconvulsive therapy. J Nucl Med Off Publ Soc Nucl Med. 1996;37(7):1075–80.

    CAS  Google Scholar 

  10. Drevets WC. Functional neuroimaging studies of depression: the anatomy of melancholia. Annu Rev Med. 1998;49:341–61.

    Article  CAS  PubMed  Google Scholar 

  11. Hama S, Yamashita H, Shigenobu M, Watanabe A, Kurisu K, Yamawaki S, et al. Post-stroke affective or apathetic depression and lesion location: left frontal lobe and bilateral basal ganglia. Eur Arch Psychiatry Clin Neurosci. 2007;257(3):149–52.

    Article  PubMed  Google Scholar 

  12. Henriques JB, Davidson RJ. Left frontal hypoactivation in depression. J Abnorm Psychol. 1991;100(4):535–45.

    Article  CAS  PubMed  Google Scholar 

  13. Spalletta G, Guida G, De Angelis D, Caltagirone C. Predictors of cognitive level and depression severity are different in patients with left and right hemispheric stroke within the first year of illness. J Neurol. 2002;249(11):1541–51.

    Article  PubMed  Google Scholar 

  14. Fiset P, Paus T, Daloze T, Plourde G, Meuret P, Bonhomme V, et al. Brain mechanisms of propofol-induced loss of consciousness in humans: a positron emission tomographic study. J Neurosci Off J Soc Neurosci. 1999;19(13):5506–13.

    CAS  Google Scholar 

  15. Lee U, Ku S, Noh G, Baek S, Choi B, Mashour GA. Disruption of frontal-parietal communication by ketamine, propofol, and sevoflurane. Anesthesiology. 2013;118(6):1264–75.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Velly LJ, Rey MF, Bruder NJ, Gouvitsos FA, Witjas T, Regis JM, et al. Differential dynamic of action on cortical and subcortical structures of anesthetic agents during induction of anesthesia. Anesthesiology. 2007;107(2):202–12.

    Article  CAS  PubMed  Google Scholar 

  17. Nicoll RA, Madison DV. General anesthetics hyperpolarize neurons in the vertebrate central nervous system. Science. 1982;217(4564):1055–7.

    Article  CAS  PubMed  Google Scholar 

  18. Steriade M. Corticothalamic resonance, states of vigilance and mentation. Neuroscience. 2000;101(2):243–76.

    Article  CAS  PubMed  Google Scholar 

  19. Ogawa K, Uema T, Motohashi N, Nishikawa M, Takano H, Hiroki M, et al. Neural mechanism of propofol anesthesia in severe depression: a positron emission tomographic study. Anesthesiology. 2003;98(5):1101–11.

    Article  CAS  PubMed  Google Scholar 

  20. Drevets WC. Neuroimaging studies of mood disorders. Biol Psychiatry. 2000;48(8):813–29.

    Article  CAS  PubMed  Google Scholar 

  21. Maranets I, Kain ZN. Preoperative anxiety and intraoperative anesthetic requirements. Anesth Analg. 1999;89(6):1346–51.

    CAS  PubMed  Google Scholar 

  22. Verdonck O, Reed SJ, Hall J, Gotman J, Plourde G. The sensory thalamus and cerebral motor cortex are affected concurrently during induction of anesthesia with propofol: a case series with intracranial electroencephalogram recordings. Can J Anaesth. 2014;61(3):254–62.

    Article  PubMed  Google Scholar 

  23. Plourde G, Garcia-Asensi A, Backman S, Deschamps A, Chartrand D, Fiset P, et al. Attenuation of the 40-hertz auditory steady state response by propofol involves the cortical and subcortical generators. Anesthesiology. 2008;108(2):233–42.

    Article  CAS  PubMed  Google Scholar 

  24. Hartlage S, Arduino K, Alloy LB. Depressive personality characteristics: state dependent concomitants of depressive disorder and traits independent of current depression. J Abnorm Psychol. 1998;107(2):349–54.

    Article  CAS  PubMed  Google Scholar 

  25. Edge S, Byrd DR, Compton CC, Fritz AG, Greene FL,Trotti A (Eds). AJCC Cancer Staging manual. Springer Publisher. New York, New York.

  26. Arden-Close E, Gidron Y, Moss-Morris R. Psychological distress and its correlates in ovarian cancer: a systematic review. Psychooncology. 2008;17(11):1061–72.

    Article  PubMed  Google Scholar 

  27. Kain ZN, Sevarino F, Alexander GM, Pincus S, Mayes LC. Preoperative anxiety and postoperative pain in women undergoing hysterectomy. A repeated-measures design. J Psychosom Res. 2000;49(6):417–22.

    Article  CAS  PubMed  Google Scholar 

  28. Johnson RL, Gold MA, Wyche KF. Distress in women with gynecologic cancer. Psychooncology. 2010;19(6):665–8.

    Article  PubMed  Google Scholar 

  29. Posluszny DM, Edwards RP, Dew MA, Baum A. Perceived threat and PTSD symptoms in women undergoing surgery for gynecologic cancer or benign conditions. Psychooncology. 2011;20(7):783–7.

    Article  PubMed  Google Scholar 

  30. Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98.

    Article  CAS  PubMed  Google Scholar 

  31. Millon T, Antoni MH, Millon C, Meagher S, Grossman S. Test manual for the Millon Behavioral Medicine Diagnostic (MBMD). Minneapolis: National Computer Services; 2001.

    Google Scholar 

  32. Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40(5):373–83.

    Article  CAS  PubMed  Google Scholar 

  33. Daabiss M. American Society of Anaesthesiologists physical status classification. Indian J Anaesth. 2011;55(2):111–5.

    Article  PubMed Central  PubMed  Google Scholar 

  34. Noirhomme Q, Boly M, Bonhomme V, Boveroux P, Phillips C, Peigneux P, et al. Bispectral index correlates with regional cerebral blood flow during sleep in distinct cortical and subcortical structures in humans. Arch Ital Biol. 2009;147(1–2):51–7.

    CAS  PubMed  Google Scholar 

  35. Pruessner JC, Kirschbaum C, Meinlschmid G, Hellhammer DH. Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology. 2003;28(7):916–31.

    Article  CAS  PubMed  Google Scholar 

  36. Cohen J. Statistical power analyses for the behavioral sciences. New York: Academic; 1969.

    Google Scholar 

  37. Strunk DR, Lopez H, DeRubeis RJ. Depressive symptoms are associated with unrealistic negative predictions of future life events. Behav Res Ther. 2006;44(6):861–82.

    Article  PubMed  Google Scholar 

  38. Sharot T, Riccardi AM, Raio CM, Phelps EA. Neural mechanisms mediating optimism bias. Nature. 2007;450(7166):102–5.

    Article  CAS  PubMed  Google Scholar 

  39. Phelps EA. Emotion and cognition: insights from studies of the human amygdala. Annu Rev Psychol. 2006;57:27–53.

    Article  PubMed  Google Scholar 

  40. Drevets WC, Price JL, Simpson Jr JR, Todd RD, Reich T, Vannier M, et al. Subgenual prefrontal cortex abnormalities in mood disorders. Nature. 1997;386(6627):824–7.

    Article  CAS  PubMed  Google Scholar 

  41. Davidson RJ. Anterior electrophysiological asymmetries, emotion, and depression: conceptual and methodological conundrums. Psychophysiology. 1998;35(5):607–14.

    Article  CAS  PubMed  Google Scholar 

  42. Gotlib IH, Ranganatha C, Rosenfeld P. EEG alpha asymmetry, depression, and cognitive functioning. Cogn Emot. 1998;12(3):449–78.

    Article  Google Scholar 

  43. Zhong M, Wang X, Xiao J, Yi J, Zhu X, Liao J, et al. Amygdala hyperactivation and prefrontal hypoactivation in subjects with cognitive vulnerability to depression. Biol Psychol. 2011;88(2–3):233–42.

    Article  PubMed  Google Scholar 

  44. Leung LS, Luo T, Ma J, Herrick I. Brain areas that influence general anesthesia. Progress in Neurobiology. 2014.

  45. Adelstein JS, Shehzad Z, Mennes M, DeYoung CG, Zuo X-N, Kelly C, et al. Personality is reflected in the brain’s intrinsic functional architecture. PloS ONE. 2011;6(11).

  46. Frank E, Kupfer DJ, Jacob M, Jarrett D. Personality features and response to acute treatment in recurrent depression. J Personal Disord. 1987;1:14–26.

    Article  Google Scholar 

  47. Klein M, Wonderlich S, Shea M. Models of relationships between personality and depression: toward a framework for theory and research. In: Klein MH, Wonderlich S, Shea MT, editors. Personality and depression: a current view. New York: Guilford; 1993. p. 1–54.

    Google Scholar 

  48. Watson D, Clark L. Depression and the melancholic temperament. Eur J Personal. 1995;9:351–66.

    Article  Google Scholar 

  49. Mathersul D, Williams LM, Hopkinson PJ, Kemp AH. Investigating models of affect: relationships among EEG alpha asymmetry, depression, and anxiety. Emotion. 2008;8(4):560–72.

    Article  PubMed  Google Scholar 

  50. Moscovitch DA, Santesso DL, Miskovic V, McCabe RE, Antony MM, Schmidt LA. Frontal EEG asymmetry and symptom response to cognitive behavioral therapy in patients with social anxiety disorder. Biol Psychol. 2011;87(3):379–85.

    Article  PubMed  Google Scholar 

  51. Thibodeau R, Jorgensen RS, Kim S. Depression, anxiety, and resting frontal EEG asymmetry: a meta-analytic review. J Abnorm Psychol. 2006;115(4):715–29.

    Article  PubMed  Google Scholar 

  52. Manna CB, Tenke CE, Gates NA, Kayser J, Borod JC, Stewart JW, et al. EEG hemispheric asymmetries during cognitive tasks in depressed patients with high versus low trait anxiety. Clin EEG Neurosci Off J EEG Clin Neurosci Soc. 2010;41(4):196–202.

    Article  Google Scholar 

  53. Purdon PL, Pierce ET, Bonmassar G, Walsh J, Harrell PG, Kwo J, et al. Simultaneous electroencephalography and functional magnetic resonance imaging of general anesthesia. Ann N Y Acad Sci. 2009;1157:61–70.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  54. Beck AT, Guth D, Steer RA, Ball R. Screening for major depression disorders in medical inpatients with the Beck Depression Inventory for primary care. Behav Res Ther. 1997;35(8):785–91.

    Article  CAS  PubMed  Google Scholar 

  55. Monk TG, Weldon BC. Anesthetic depth is a predictor of mortality: it’s time to take the next step. Anesthesiology. 2010;112(5):1070–2.

    Article  PubMed  Google Scholar 

  56. Watson M, Haviland JS, Greer S, Davidson J, Bliss JM. Influence of psychological response on survival in breast cancer: a population-based cohort study. Lancet. 1999;354(9187):1331–6.

    Article  CAS  PubMed  Google Scholar 

  57. Price CC, Tanner JJ, Schmalfuss I, Garvan CW, Gearen P, Dickey D, et al. A pilot study evaluating presurgery neuroanatomical biomarkers for postoperative cognitive decline after total knee arthroplasty in older adults. Anesthesiology. 2014;120(3):601–13.

    Article  PubMed Central  PubMed  Google Scholar 

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Acknowledgments

This project is dedicated to J. S. Gravenstein, M.D., Professor, Department of Anesthesiology, for his insightful comments and support toward this project. This work was completed in partial fulfillment of Ms. Andre’s Master of Science degree in the Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA. This work was supported in part by the NIH/NCATS Clinical and Translational Science Award to the University of Florida UL1 TR000064, the I. Heermann Anesthesia Foundation (MH, CP), NINDS K23NS060660 (CP), and R01-NR014181 (CP).

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Correspondence to Catherine C. Price.

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Price, C.C., Pereira, D.B., Andre, R. et al. Prospective Pilot Investigation: Presurgical Depressive Symptom Severity and Anesthesia Response in Women Undergoing Surgery for Gynecologic Mass Removal. Int.J. Behav. Med. 22, 521–529 (2015). https://doi.org/10.1007/s12529-014-9451-1

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